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African Journal of<br />

Biotechnology<br />

Volume10 Number 20 16 May, 2011<br />

ISSN 1684-5315


ABOUT AJB<br />

The African Journal of Biotechnology (AJB) is published bi-weekly (one volume per year) by <strong>Academic</strong><br />

<strong>Journals</strong>.<br />

African Journal of Biotechnology (AJB) a new broad-based journal, is an open access journal that was founded<br />

on two key tenets: To publish the most exciting research in all areas of applied biochemistry, industrial<br />

microbiology, molecular biology, genomics and proteomics, food and agricultural technologies, and metabolic<br />

engineering. Secondly, to provide the most rapid turn-around time possible for reviewing and publishing, and<br />

to disseminate the <strong>articles</strong> freely for teaching and reference purposes. All <strong>articles</strong> published in AJB are peerreviewed.<br />

Submission of Manuscript<br />

Submit manuscripts as e-mail attachment to the Editorial Office at: ajb@acadjournals.org. A manuscript<br />

number will be mailed to the corresponding author shortly after submission.<br />

The African Journal of Biotechnology will only accept manuscripts submitted as e-mail attachments.<br />

Please read the Instructions for Authors before submitting your manuscript. The manuscript files should be<br />

given the last name of the first author.


Editors<br />

George Nkem Ude, Ph.D<br />

Plant Breeder & Molecular Biologist<br />

Department of Natural Sciences<br />

Crawford Building, Rm 003A<br />

Bowie State University<br />

14000 Jericho Park Road<br />

Bowie, MD 20715, USA<br />

N. John Tonukari, Ph.D<br />

Department of Biochemistry<br />

Delta State University<br />

PMB 1<br />

Abraka, Nigeria<br />

Prof. Dr. AE Aboulata<br />

Plant Path. Res. Inst., ARC, POBox 12619, Giza,<br />

Egypt<br />

30 D, El-Karama St., Alf Maskan, P.O. Box 1567,<br />

Ain Shams, Cairo,<br />

Egypt<br />

Dr. S.K Das<br />

Department of Applied Chemistry<br />

and Biotechnology, University of Fukui,<br />

Japan<br />

Prof. Okoh, A. I<br />

Applied and Environmental Microbiology Research<br />

Group (AEMREG),<br />

Department of Biochemistry and Microbiology,<br />

University of Fort Hare.<br />

P/Bag X1314 Alice 5700,<br />

South Africa<br />

Dr. Ismail TURKOGLU<br />

Department of Biology Education,<br />

Education Faculty, Fırat University,<br />

Elazığ,<br />

Turkey<br />

Prof T.K.Raja, PhD FRSC (UK)<br />

Department of Biotechnology<br />

PSG COLLEGE OF TECHNOLOGY (Autonomous)<br />

(Affiliated to Anna University)<br />

Coimbatore-641004, Tamilnadu,<br />

INDIA.<br />

Dr. George Edward Mamati<br />

Horticulture Department,<br />

Jomo Kenyatta University of Agriculture<br />

and Technology,<br />

P. O. Box 62000-00200,<br />

Nairobi, Kenya.<br />

Dr Helal Ragab Moussa<br />

Bahnay, Al-bagour, Menoufia,<br />

Egypt.<br />

Dr VIPUL GOHEL<br />

Flat No. 403, Alankar Apartment, Sector 56, Gurgaon-<br />

122 002,<br />

India.<br />

Dr. Sang-Han Lee<br />

Department of Food Science & Biotechnology,<br />

Kyungpook National University<br />

Daegu 702-701,<br />

Korea.<br />

Dr. Bhaskar Dutta<br />

DoD Biotechnology High Performance Computing<br />

Software Applications<br />

Institute (BHSAI)<br />

U.S. Army Medical Research and Materiel Command<br />

2405 Whittier Drive<br />

Frederick, MD 21702<br />

Dr. Muhammad Akram<br />

Faculty of Eastern Medicine and Surgery,<br />

Hamdard Al-Majeed College of Eastern Medicine,<br />

Hamdard University,<br />

Karachi.<br />

Dr. M.MURUGANANDAM<br />

Departtment of Biotechnology<br />

St. Michael College of Engineering & Technology,<br />

Kalayarkoil,<br />

India.<br />

Dr. Gökhan Aydin<br />

Suleyman Demirel University,<br />

Atabey Vocational School,<br />

Isparta-Türkiye,<br />

Dr. Rajib Roychowdhury<br />

Centre for Biotechnology (CBT),<br />

Visva Bharati,<br />

West-Bengal,<br />

India.<br />

Dr.YU JUNG KIM<br />

Department of Chemistry and Biochemistry<br />

California State University, San Bernardino<br />

5500 University Parkway<br />

San Bernardino, CA 92407


Editorial Board<br />

Dr. Takuji Ohyama<br />

Faculty of Agriculture, Niigata University<br />

Dr. Mehdi Vasfi Marandi<br />

University of Tehran<br />

Dr. FÜgen DURLU-ÖZKAYA<br />

Gazi Üniversity, Tourism Faculty, Dept. of Gastronomy<br />

and Culinary Art<br />

Dr. Reza Yari<br />

Islamic Azad University, Boroujerd Branch<br />

Dr. Zahra Tahmasebi Fard<br />

Roudehen branche, Islamic Azad University<br />

Dr. Tarnawski Sonia<br />

University of Neuchâtel – Laboratory of Microbiology<br />

Dr. Albert Magrí<br />

Giro Technological Centre<br />

Dr. Ping ZHENG<br />

Zhejiang University, Hangzhou,<br />

China.<br />

Prof. Pilar Morata<br />

University of Malaga<br />

Dr. Greg Spear<br />

Rush University Medical Center<br />

Dr. Mousavi Khaneghah<br />

College of Applied Science and<br />

Technology-Applied Food Science, Tehran,<br />

Iran.<br />

Prof. Pavel KALAC<br />

University of South Bohemia,<br />

Czech Republic.<br />

Dr. Kürsat KORKMAZ<br />

Ordu University, Faculty of Agriculture,<br />

Department of Soil Science and Plant nutrition<br />

Dr. Tugay AYAŞAN<br />

Çukurova Agricultural Research Institute, PK:01321,<br />

ADANA-TURKEY.<br />

Dr. Shuyang Yu<br />

Asistant research scientist, Department of Microbiology,<br />

University of Iowa<br />

Address: 51 newton road, 3-730B BSB bldg.Tel:+319-335-<br />

7982, Iowa City, IA, 52246,<br />

USA.<br />

Dr. Binxing Li<br />

E-mail: Binxing.Li@hsc.utah.edu<br />

Dr Hsiu-Chi Cheng<br />

National Cheng Kung University and Hospital.<br />

Dr. Kgomotso P. Sibeko<br />

University of Pretoria,<br />

South Africa.<br />

Dr. Jian Wu<br />

Harbin medical university ,<br />

China.


Electronic submission of manuscripts is strongly<br />

encouraged, provided that the text, tables, and figures are<br />

included in a single Microsoft Word file (preferably in Arial<br />

font).<br />

The cover letter should include the corresponding author's<br />

full address and telephone/fax numbers and should be in<br />

an e-mail message sent to the Editor, with the file, whose<br />

name should begin with the first author's surname, as an<br />

attachment.<br />

Article Types<br />

Three types of manuscripts may be submitted:<br />

Regular <strong>articles</strong>: These should describe new and carefully<br />

confirmed findings, and experimental procedures should<br />

be given in sufficient detail for others to verify the work.<br />

The length of a full paper should be the minimum required<br />

to describe and interpret the work clearly.<br />

Short Communications: A Short Communication is suitable<br />

for recording the results of complete small investigations<br />

or giving details of new models or hypotheses, innovative<br />

methods, techniques or apparatus. The style of main<br />

sections need not conform to that of full-length papers.<br />

Short communications are 2 to 4 printed pages (about 6 to<br />

12 manuscript pages) in length.<br />

Minireview: Submissions of mini-reviews and perspectives<br />

covering topics of current interest are welcome and<br />

encouraged. Mini-reviews should be concise and no longer<br />

than 4-6 printed pages (about 12 to 18 manuscript pages).<br />

Mini-reviews are also peer-reviewed.<br />

Review Process<br />

Instructions for Author<br />

All manuscripts are reviewed by an editor and members of<br />

the Editorial Board or qualified outside reviewers. Authors<br />

cannot nominate reviewers. Only reviewers randomly<br />

selected from our database with specialization in the<br />

subject area will be contacted to evaluate the manuscripts.<br />

The process will be blind review.<br />

Decisions will be made as rapidly as possible, and the<br />

journal strives to return reviewers’ comments to authors as<br />

fast as possible. The editorial board will re-review<br />

manuscripts that are accepted pending revision. It is the<br />

goal of the AJB to publish manuscripts within weeks after<br />

submission.<br />

Regular <strong>articles</strong><br />

All portions of the manuscript must be typed doublespaced<br />

and all pages numbered starting from the title<br />

page.<br />

The Title should be a brief phrase describing the<br />

contents of the paper. The Title Page should include the<br />

authors' full names and affiliations, the name of the<br />

corresponding author along with phone, fax and E-mail<br />

information. Present addresses of authors should<br />

appear as a footnote.<br />

The Abstract should be informative and completely selfexplanatory,<br />

briefly present the topic, state the scope of<br />

the experiments, indicate significant data, and point out<br />

major findings and conclusions. The Abstract should be<br />

100 to 200 words in length.. Complete sentences, active<br />

verbs, and the third person should be used, and the<br />

abstract should be written in the past tense. Standard<br />

nomenclature should be used and abbreviations should<br />

be avoided. No literature should be cited.<br />

Following the abstract, about 3 to 10 key words that will<br />

provide indexing references should be listed.<br />

A list of non-standard Abbreviations should be added.<br />

In general, non-standard abbreviations should be used<br />

only when the full term is very long and used often.<br />

Each abbreviation should be spelled out and introduced<br />

in parentheses the first time it is used in the text. Only<br />

recommended SI units should be used. Authors should<br />

use the solidus presentation (mg/ml). Standard<br />

abbreviations (such as ATP and DNA) need not be<br />

defined.<br />

The Introduction should provide a clear statement of<br />

the problem, the relevant literature on the subject, and<br />

the proposed approach or solution. It should be<br />

understandable to colleagues from a broad range of<br />

scientific disciplines.<br />

Materials and methods should be complete enough<br />

to allow experiments to be reproduced. However, only<br />

truly new procedures should be described in detail;<br />

previously published procedures should be cited, and<br />

important modifications of published procedures should<br />

be mentioned briefly. Capitalize trade names and<br />

include the manufacturer's name and address.<br />

Subheadings should be used. Methods in general use<br />

need not be described in detail.


Results should be presented with clarity and precision.<br />

The results should be written in the past tense when<br />

describing findings in the authors' experiments.<br />

Previously published findings should be written in the<br />

present tense. Results should be explained, but largely<br />

without referring to the literature. Discussion,<br />

speculation and detailed interpretation of data should<br />

not be included in the Results but should be put into the<br />

Discussion section.<br />

The Discussion should interpret the findings in view of<br />

the results obtained in this and in past studies on this<br />

topic. State the conclusions in a few sentences at the end<br />

of the paper. The Results and Discussion sections can<br />

include subheadings, and when appropriate, both<br />

sections can be combined.<br />

The Acknowledgments of people, grants, funds, etc<br />

should be brief.<br />

Tables should be kept to a minimum and be designed to<br />

be as simple as possible. Tables are to be typed doublespaced<br />

throughout, including headings and footnotes.<br />

Each table should be on a separate page, numbered<br />

consecutively in Arabic numerals and supplied with a<br />

heading and a legend. Tables should be self-explanatory<br />

without reference to the text. The details of the methods<br />

used in the experiments should preferably be described<br />

in the legend instead of in the text. The same data should<br />

not be presented in both table and graph form or<br />

repeated in the text.<br />

Figure legends should be typed in numerical order on a<br />

separate sheet. Graphics should be prepared using<br />

applications capable of generating high resolution GIF,<br />

TIFF, JPEG or Powerpoint before pasting in the Microsoft<br />

Word manuscript file. Tables should be prepared in<br />

Microsoft Word. Use Arabic numerals to designate<br />

figures and upper case letters for their parts (Figure 1).<br />

Begin each legend with a title and include sufficient<br />

description so that the figure is understandable without<br />

reading the text of the manuscript. Information given in<br />

legends should not be repeated in the text.<br />

References: In the text, a reference identified by means<br />

of an author‘s name should be followed by the date of<br />

the reference in parentheses. When there are more than<br />

two authors, only the first author‘s name should be<br />

mentioned, followed by ’et al‘. In the event that an<br />

author cited has had two or more works published during<br />

the same year, the reference, both in the text and in the<br />

reference list, should be identified by a lower case letter<br />

like ’a‘ and ’b‘ after the date to distinguish the works.<br />

Examples:<br />

Smith (2000), Blake et al. (2003), (Kelebeni, 1983),<br />

(Chandra and Singh,1992),(Chege, 1998; Steddy, 1987a,b;<br />

Gold, 1993,1995), (Kumasi et al., 2001)<br />

References should be listed at the end of the paper in<br />

alphabetical order. Articles in preparation or <strong>articles</strong><br />

submitted for publication, unpublished observations,<br />

personal communications, etc. should not be included<br />

in the reference list but should only be mentioned in<br />

the article text (e.g., A. Kingori, University of Nairobi,<br />

Kenya, personal communication). Journal names are<br />

abbreviated according to Chemical Abstracts. Authors<br />

are fully responsible for the accuracy of the references.<br />

Examples:<br />

Diaz E, Prieto MA (2000). Bacterial promoters triggering<br />

biodegradation of aromatic pollutants. Curr. Opin.<br />

Biotech. 11: 467-475.<br />

Dorn E, Knackmuss HJ (1978). Chemical structure and<br />

biodegradability of halogenated aromatic compounds.<br />

Two catechol 1, 2 dioxygenases from a 3chlorobenzoate-grown<br />

Pseudomonad. Biochem. J. 174:<br />

73-84.<br />

Pitter P, Chudoba J (1990). Biodegradability of Organic<br />

Substances in<br />

the Aquatic Environment. CRC press, Boca Raton,<br />

Florida, USA.<br />

Alexander M (1965). Biodegradation: Problems of<br />

Molecular Recalcitrance<br />

and Microbial Fallibility. Adv. Appl. Microbiol. 7: 35-80.<br />

Boder ET, Wittrup KD (1997). Yeast surface display for<br />

screening combinatorial polypeptide libraries. Nat.<br />

Biotechnol. 15: 537-553.<br />

Short Communications<br />

Short Communications are limited to a maximum of<br />

two figures and one table. They should present a<br />

complete study that is more limited in scope than is<br />

found in full-length papers. The items of manuscript<br />

preparation listed above apply to Short<br />

Communications with the following differences: (1)<br />

Abstracts are limited to 100 words; (2) instead of a<br />

separate Materials and Methods section, experimental<br />

procedures may be incorporated into Figure Legends<br />

and Table footnotes; (3) Results and Discussion should<br />

be combined into a single section.<br />

Proofs and Reprints: Electronic proofs will be sent (email<br />

attachment) to the corresponding author as a PDF<br />

file. Page proofs are considered to be the final version<br />

of the manuscript. With the exception of typographical<br />

or minor clerical errors, no changes will be made in the<br />

manuscript at the proof stage.


Fees and Charges: Authors are required to pay a $650 handling fee. Publication of an article in the African Journal of<br />

Biotechnology is not contingent upon the author's ability to pay the charges. Neither is acceptance to pay the<br />

handling fee a guarantee that the paper will be accepted for publication. Authors may still request (in advance) that<br />

the editorial office waive some of the handling fee under special circumstances.<br />

Copyright: © 2012, <strong>Academic</strong> <strong>Journals</strong>.<br />

All rights Reserved. In accessing this journal, you agree that you will access the contents for your own personal use<br />

but not for any commercial use. Any use and or copies of this Journal in whole or in part must include the customary<br />

bibliographic citation, including author attribution, date and article title.<br />

Submission of a manuscript implies: that the work described has not been published before (except in the form of an<br />

abstract or as part of a published lecture, or thesis) that it is not under consideration for publication elsewhere; that if<br />

and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the<br />

publisher.<br />

Disclaimer of Warranties<br />

In no event shall <strong>Academic</strong> <strong>Journals</strong> be liable for any special, incidental, indirect, or consequential damages of any<br />

kind arising out of or in connection with the use of the <strong>articles</strong> or other material derived from the AJB, whether or not<br />

advised of the possibility of damage, and on any theory of liability.<br />

This publication is provided "as is" without warranty of any kind, either expressed or implied, including, but not<br />

limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.<br />

Descriptions of, or references to, products or publications does not imply endorsement of that product or publication.<br />

While every effort is made by <strong>Academic</strong> <strong>Journals</strong> to see that no inaccurate or misleading data, opinion or statements<br />

appear in this publication, they wish to make it clear that the data and opinions appearing in the <strong>articles</strong> and<br />

advertisements herein are the responsibility of the contributor or advertiser concerned. <strong>Academic</strong> <strong>Journals</strong> makes no<br />

warranty of any kind, either express or implied, regarding the quality, accuracy, availability, or validity of the data or<br />

information in this publication or of any other publication to which it may be linked.


.<br />

African Journal of Biotechnology<br />

International Table of Contents: Journal Volume of Medicine 10 Number and Medical 20 16 May, Sciences 2011<br />

ences<br />

Research Articles<br />

GENETICS AND MOLECULAR BIOLOGY<br />

ARTICLES<br />

Highly heterogeneous Ty3/Gypsy-like retrotransposon sequences in the<br />

genome of cassava (Manihot esculenta Crantz) 3951<br />

Michael A. Gbadegesin and John R. Beeching<br />

Genetics of trichomes and its association with fibre and agronomic traits<br />

in cotton 3964<br />

Nausherwan Nobel Nawab, Qamar Shakil, Shahid Niaz, Muhammad<br />

Munir Iqbal, Muhammad Ahsan Asif and Iftikhar Ahmad Khan<br />

Quick and sensitive determination of gene expression of fatty acid synthase<br />

in vitro by using real-time polymerase chain reaction amplification (PCR) 3973<br />

Zuo-Hua Liu, Jin-Long Yang, Fei-Yun Yang, Ding-Biao Long, Ren-Yong Jia,<br />

Kang-Cheng Pan, and Dai-Wen Chen<br />

Characterization of a chestnut FLORICAULA/LEAFY homologous gene 3978<br />

Tao Liu, Yun-qian Hu and Xiao-xian Li<br />

Overexpression of a foxtail millet Acetyl-CoA carboxylase gene in maize<br />

increases sethoxydim resistance and oil content 3986<br />

Zhigang Dong, Huji Zhao,Junguang He, Junling Huai, Heng Lin, Jun Zheng,<br />

Yunjun Liu and Guoying Wang


Table of Contents: Volume 10 Number 20 16 May, 2011<br />

ences<br />

ARTICLES<br />

Variation in nodulation and growth of groundnut (Arachis hypogaea L.)<br />

on oxisols from land use systems of the humid forest zone in southern<br />

Cameroon 3996<br />

Laurette Ngo Nkot, Dieudonné Nwaga, Albert Ngakou, Henri Fankem and<br />

François-Xavier Etoa<br />

Comparison of some anthropometric and biologic parameters in two<br />

groups of Tunisian infants (0 to 2 years) 4005<br />

M. Kamel, A. Barkia, M. Hamdaoui, H. Ketata, M. Kassis, M. Nasri and<br />

A. Aouidet<br />

Isolation and molecular characterization of RcSERK1: A Rosa caninagene<br />

transcriptionally induced during initiation of protocorm-like bodies 4011<br />

Xu Kedong, Liu Qinglin, Yang Huifang, Zeng Li, Dong Lili, Liu Fengluan,<br />

Bi Ling, Ma Nan and Zhao Liangjun<br />

Molecular cloning and expression of the luciferase coding genes of<br />

Vibrio fischeri 4018<br />

Golnaz Asaadi Tehrani, Sina Mirzaahmadi, Mojgan Bandehpour, Faramarz Laloei,<br />

Akram Eidi, Toraj Valinasab and Bahram Kazemi<br />

Study of polymorphism of leptin gene receptor in Mazandaran fowls 4024<br />

H. A. Abbasi, S. Gharahveysi and R. Abdullahpour<br />

Detection of genomic instability in hypospadias patients by random<br />

amplified polymorphic DNA-polymerase chain reaction (RAPD-PCR) method 4029<br />

Adnan A. Alsulaimani, Nabil S. Awad and Adel E. El-Tarras<br />

cDNA, genomic sequence cloning and overexpression of cytochrome c<br />

oxidase gene (COX6b1) from the Ailuropoda melanoleuca 4033<br />

Jun Li, Yiling Hou, Wanru Hou, Bing Sun and Xiulan Su


ences<br />

Table of Contents: Volume 10 Number 20 16 May, 2011<br />

PLANT AND AGRICULTURAL TECHNOLOGY<br />

ARTICLES<br />

Effect of plant growth regulators (PGRs) on micropropagation of a<br />

vulnerable and high value medicinal plant Hedychium spicatum 4040<br />

Dinesh Giri and Sushma Tamta<br />

Genotype-dependent responses of wheat (Triticum aestivum L.) seedlings<br />

to drought, UV-B radiation and their combined stresses 4046<br />

Liheng He, Xiaoyun Jia, Zhiqiang Gao and Runzhi Li<br />

The effects of the regulated deficit irrigation on yield and some yield<br />

components of common bean (Phaseolus vulgaris L.) under semi-arid<br />

conditions 4057<br />

Mehmet Simsek, Nuray Comlekcioglu and Irfan Ozturk<br />

Molecular cloning of a novel GSK3/shaggy-like gene from Triticum<br />

monococcum L. and its expression in response to salt, drought and other<br />

abiotic stresses 4065<br />

Yang Xian-Guang, Fan Jin-Yu and Deng Chuan-Liang<br />

Some quality traits and neurotoxin β-N-oxalyl-L-α,β-diaminopropionic acid<br />

(β-ODAP) contents of Lathyrus sp. cultivated in Turkey 4072<br />

Ugur Basaran, Ozlem Onal Asci, Hanife Mut, Zeki Acar, Ilknur Ayan<br />

Optimization of a plant regeneration protocol for broccoli 4081<br />

Ke. Huang, Qiuyun Wu, Juncheng Lin and Jingui Zheng<br />

Evaluation of bread wheat genotypes for salinity tolerance under saline<br />

field conditions 4086<br />

Munir Ahmad, Muhammad Munir, Armghan Shahzad, M. Shahid Masood<br />

and Muhammad Iqbal


Table of Contents: Volume 10 Number 20 16 May, 2011<br />

ences<br />

ARTICLES<br />

Antioxidant enzymes activities during secondary somatic embryogenesis in<br />

Persian walnut (Juglans regia L.) 4093<br />

M. Jariteh, H. Ebrahimzadeh, V. Niknam, K. Vahdati and R. Amiri<br />

Sugar beet genotype effect on potential of bioethanol production using<br />

Saccharomyces cerevisiae fermentation 4100<br />

Parviz Mehdikhani, Hrachya Hovsepyan and Mahmood Rezazadeh Bari<br />

Modeling and experiment to threshing unit of stripper combine 4106<br />

Xu Lizhang and Li Yaoming<br />

ENVIRONMENTAL BIOTECHNOLOGY<br />

Yield responses of forage sorghums to salinity and irrigation frequency 4114<br />

Siti Aishah, H. A. R. Saberi, R. A. Halim and A. R. Zaharah<br />

Isolation and characterization of a novel sulfur-oxidizing<br />

chemolithoautotroph Halothiobacillus from Pb polluted paddy soil 4121<br />

Jiyan Shi, Huirong Lin, Xiaofeng Yuan and Yidong Zhao<br />

Biomonitoring of some heavy metal contaminations from a steel plant by<br />

above ground plants tissue 4127<br />

M. Ataabadi, M. Hoodaji and P. Najafi<br />

Isolation, purification and identification of bacteria from the shoes worn<br />

by children 4133<br />

Hui Li, Changqing Zhao, Jin Zhou, Huanhuan Shao and Wuyong Chen


Table of Contents: Volume 10 Number 20 16 May, 2011<br />

ences<br />

ARTICLES<br />

Analyzing the two-dimensional plot of the interannual climate variability<br />

for detection of the climate change in the Large Karoun River Basin, Iran 4138<br />

Narges Zohrabi, Ali Reza Massah Bavani, Hossein Sedghi and Abdol RasolTelvari<br />

INDUSTRIAL MICROBIOLOGY<br />

Screening and optimization of extracellular lipases by Acinetobacter species<br />

isolated from oil oil-contaminated soil in South Korea 4147<br />

Periasamy Anbu, Myoung-Ju Noh, Da-Hye Kim, Jun-Seok Seo, Byung-Ki Hur<br />

and Kyeong Ho Min<br />

Antifungal activity of selected plant leaves crude extracts against a pepper<br />

anthracnose fungus, Colletotrichum capsici (Sydow) butler and bisby<br />

(Ascomycota: Phyllachorales) 4157<br />

Lucy Johnny, Umi Kalsom Yusuf and R. Nulit<br />

Isolation, identification and application in lignin degradation of an<br />

ascomycete GHJ-4 4166<br />

Huiju Gao, Yanwen Wang, Wenting Zhang, Weile Wang and Zhimei Mu<br />

Improved taxol production in Nodulisporium sylviforme derived from<br />

inactivated protoplast fusion 4175<br />

Kai Zhao, Lixin Sun, Xi Ma, Xiuliang Li, Xin Wang, Wenxiang Ping, Dongpo Zhou<br />

Production of ethanol from mango (Mangifera indica L.) peel by<br />

Saccharomyces cerevisiae CFTRI101 4183<br />

Lebaka Veeranjaneya Reddy, Obulam Vijaya Sarathi Reddy and<br />

Young-Jung Wee


Table of Contents: Volume 10 Number 20 16 May, 2011<br />

ences<br />

ARTICLES<br />

Secretory expression of Rhizopus oryzae α-amylase in Kluyveromyces lactis 4190<br />

Song Li, Wei Shen, Xianzhong Chen, Guiyang Shi and Zhengxiang Wang<br />

FOOD TECHNOLOGY<br />

Volatile compounds of maari, a fermented product from baobab (Adansonia<br />

digitata L.) seeds 4197<br />

Charles Parkouda, Brehima Diawara, Samuel Lowor, Charles Diako, Firibu Kwesi<br />

Saalia, Nana T Annan, Jan S. Jensen, Kwaku Tano-Debrah and Mogens Jakobsen<br />

Antioxidant activities of Rosmarinus officinalis L. essential oil obtained by<br />

hydro-distillation and solvent free microwave extraction 4207<br />

Okoh O. O., Sadimenko A. P. and Afolayan A. J.<br />

APPLIED BIOCHEMISTRY<br />

Effects of bagging on sugar metabolism and the activity of sugar metabolism<br />

related enzymes during fruit development of Qingzhong loquat 4212<br />

Zhaojun Ni, Zhen Zhang, Zhihong Gao, Linping Gu and Leifang Huang<br />

Anti-inflammatory evaluation of immature fruit and seed aqueous extracts<br />

from several populations of Tunisian Citrullus colocynthisSchrad<br />

Belsem Marzouk, Zohra Marzouk, Ehsen Haloui, Manel Turki,<br />

Abderrahman Bouraoui, Mahjoub Aouni and Nadia Fenina<br />

MEDICAL AND PHARMACEUTICAL BIOTECHNOLOGY<br />

Effects of artemether on the plasma and urine concentrations of some<br />

electrolytes in rats 4226<br />

R.O. Akomolafe, I.O. Adeoshun, J.B. Fakunle, E.O. Iwalewa, A.O. Ayoka,<br />

O.E. Ajayi, O.M. Odeleye and B.O. Akanji


ences<br />

ARTICLES<br />

Expression of biological active VHH camelid single domain antibody in<br />

transgenic tobacco 4234<br />

Behnaz Korouzhdehy, Mehdi Dadmehr ,Issa Piri, Fatemeh Rahbarizadeh and<br />

Mahmood Solouki<br />

Aloe arborescens aqueous gel extract alters the activities of key hepatic<br />

enzymes and blood concentration of triglycerides, glucose and insulin in<br />

alloxan-induced diabetic rats 4242<br />

Motetelo Alfred Mogale, Sogolo Lucky Lebelo, Leshweni Jeremia Shai and<br />

Jacobus Nicholaas Eloff<br />

Increased vascular endothelial growth factor (VEGF) expression in rats with<br />

spinal cord injury by transplantation of bone marrow stromal cells 4249<br />

Deshui Yu, Libo Liu, Xiaodong Zhi, Yang Cao and Gang lv<br />

In-ovo evaluation of the antiviral activity of methanolic root-bark extract<br />

of the African Baobab (Adansonia digitata Lin) 4256<br />

Sulaiman, Lanre K., Oladele, Omolade A., Shittu, Ismaila A., Emikpe,<br />

Benjamin O., Oladokun, Agnes T. and Meseko, Clement A<br />

ENTOMOLOGY<br />

Table of Contents: Volume 10 Number 20 16 May, 2011<br />

Effect of gamma radiation on different stages of Indian meal moth Plodia<br />

interpunctella Hübner (Lepidoptera: Pyralidae) 4259<br />

Hosseinzadeh Abbas, Shayesteh Nouraddin, Zolfagharieh Hamid Reza,<br />

Bernousi Iraj, Babaei Mohammad, Zareshahi Hasan, Ahari Mostafavi Hossein,<br />

Fatollahi Hadi<br />

FISHERY SCIENCE<br />

Body composition of freshwater Wallago attu in relation to body size,<br />

condition factor and sex from southern Punjab, Pakistan 4265<br />

Muhammad Yousaf, Abdus Salam and Muhammad Naeem


Table of Contents: Volume 10 Number 20 16 May, 2011<br />

ences<br />

BIOTECHNIQUES<br />

ARTICLES<br />

Rhizopus stolonifer exhibits dimorphism 4269<br />

C. O. Omoifo<br />

Effect of extracellular calcium chloride on sporangiospore-yeast<br />

transformation of Rhizopus stolonifer 4276<br />

C. O. Omoifo<br />

ANIMAL SCIENCE<br />

Genetic variation and bottleneck in Japanese quail (Coturnix japonica)<br />

strains using twelve microsatellite markers 4289<br />

Hossein Emrani, Cyrus Amirinia and Mohammad Ali Radjaee Arbabe<br />

Evaluation of the effects of bovine herpesvirus-1 VP22 gene adjuvant in<br />

the inhibin DNA vaccine for improving follicular development and litter size<br />

in mice 4296<br />

Han Li, Zhen YanHong, Sang Lei, Bai LiYa, Cai KaiLai, Guo AiZhen and Yang LiGuo<br />

Productive performance of laying hens fed wheat-based diets included olive<br />

pulp with or without a commercial enzyme product 4303<br />

M. Zarei, M. Ehsani and M. Torki<br />

ENVIRONMENTAL RADIOACTIVITY<br />

An investigation on natural radioactivity from mining industry # 4313<br />

E. Esmeray and M.E. Aydin


African Journal of Biotechnology Vol. 10(20), pp. 3951-3963, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1315<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Highly heterogeneous Ty3/Gypsy-like retrotransposon<br />

sequences in the genome of cassava (Manihot<br />

esculenta Crantz)<br />

Michael A. Gbadegesin 1 * and John R. Beeching 2<br />

1 Department of Biochemistry, University of Ibadan, Ibadan 200005, Nigeria.<br />

2 Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, U. K.<br />

Accepted 2 March, 2011<br />

The use of PCR has enabled the survey of transposable elements in many plants; thereby making the<br />

study of their diversity and applications possible in species where the full genome sequence data are<br />

not yet available. In the present study, we used PCR primers anchored on the conserved domain of<br />

reverse transcriptase and endonuclease to amplify the Ty3/Gypsy-like polyprotein fragment from the<br />

genome of cassava (Manihot esculenta Crantz). The PCR product was cloned and sequenced.<br />

Sequence analysis of individual clones clearly identified the conserved domain of the polyprotein<br />

enzymes and showed the cassava Ty3/Gypsy-like retrotransposon, Megyp (for Manihot esculenta<br />

gypsy-like), sequences to be highly heterogeneous. Some Megyps clustered with other plants’<br />

Ty3/Gypsy-like retrotransposons, while some clustered with Gypsy of Drosophila melanogaster and<br />

Ty3-2 of Saccharomyces cerevisiae in the comparative multiple sequence analysis. This suggests that<br />

the later belong to the retrovirus lineage of this group of elements. Southern analysis showed that, the<br />

Megyps and analogues were highly repeated within the genomes of cassava cultivars.<br />

Key words: Cassava, transposable-elements, retrotransposons, retroviruses, Manihot esculenta, Ty3/Gypsy.<br />

INTRODUCTION<br />

There are two major super-families of transposable<br />

elements (TEs) based on their transposition intermediate<br />

and transposition mechanisms (Finnegan, 1992). DNA<br />

TEs (Class II elements) move by excision and reintegration<br />

via a DNA intermediate. They transpose by a ‘cut<br />

and paste’ mechanism mediated by a transposase that<br />

recognises their short terminal inverted repeated<br />

sequences (TIRs). On the other hand, retrotransposons<br />

or retro-elements (Class I elements) move and amplify<br />

through RNA intermediates, which are reverse transcribed<br />

before their integration into the nuclear genome.<br />

They have been divided into two principal groups, the<br />

long terminal repeat (LTR) retrotransposons and the non-<br />

LTR retrotransposons.<br />

Non-LTR retrotransposons lack LTRs and are trans-<br />

cribed from an internal promoter. They are subdivided<br />

*Corresponding author. E-mail: magbadegesin@yahoo.com.<br />

Tel: +234 2 7504769. Fax: +44 8712 564876.<br />

into long interspersed nuclear elements (LINEs) and<br />

short interspersed nuclear elements (SINEs). The LTR<br />

retrotransposons are further divided into two groups<br />

Ty1/copia and Ty3/gypsy. These were so named after the<br />

elements first described in Saccharomyces cerevisiae<br />

(Ty1 and Ty3) and Drosophila melanogaster (Copia and<br />

Gypsy). Transcription of LTR retrotransposons starts at<br />

the 5’ LTR and ends at the 3’ LTR. The LTRs usually<br />

contain the regulatory sequences for promoting and<br />

terminating transcription of the element.<br />

The use of PCR primers based on the highly conserved<br />

amino acid sequence of enzymes domains has proved<br />

highly successful in the survey of transposons in many<br />

plants (Flavell et al., 1992; Hirochika and Hirochika,<br />

1993; Suoniemi et al.,1998; Vershhinin et al., 2002;<br />

Staginnus et al., 2001). It is making the study of transposable<br />

elements diversity, abundance and applications<br />

possible in species where full genome sequence data are<br />

not yet available.<br />

Although Ty1/copia-like elements have been reported<br />

in many higher plants, fewer Ty3/gypsy-like retrotran-


3952 Afr. J. Biotechnol.<br />

pol<br />

LTR gag pr<br />

RT RNaseH endo LTR<br />

PBS ORF3 PPT<br />

Figure 1. Structural organisation of Ty3/gypsy-like<br />

retrotransposons. They are bounded at their termini by long<br />

terminal repeats (LTRs). The primer binding site (PBS) and<br />

polypurine tract (PPT) is represented as grey rectangles. In<br />

between PBS and PPT (coloured boxes), are the two open<br />

reading frames (ORFs) with coding potential for the structural<br />

and enzymatic proteins needed for the retrotransposition<br />

cycle: the group antigenic glycoprotein (gag) domain coding<br />

for the protein that forms the nucleocapsid core; the protease<br />

(pr) domain encoding the proteins necessary for the<br />

maturation of the different proteins; the reverse transcriptase<br />

(RT) domain encoding the enzyme responsible for the<br />

creation of a DNA copy from the genomic RNA template; the<br />

ribonuclease H (RNaseH) domain encoding the enzyme for<br />

degradation of RNA hybridised to the first strand DNA; the<br />

endonuclease (endo) domain, encoding proteins necessary<br />

for the integration of the DNA copy into the host genome.<br />

Most of these proteins are encoded as polyproteins (pol)<br />

sometimes with overlapping ORFs and are processed into<br />

individual components by pr. In addition, a third open reading<br />

frame (ORF3) encoding an env-like activity is frequently found<br />

in Ty3/gypsy retrotransposons. The block arrow heads indicate<br />

the position of the forward and reverse primers for the<br />

PCR.<br />

sposon sequences or elements have been identified in<br />

plant species (Su and Brown, 1997). Ty3/gypsy-like<br />

retrotransposons share common features with Ty1/copialike<br />

elements but the order of the domains between the<br />

two long terminal repeats (LTRs) in Ty3/gypsy–like<br />

elements resembles those of the retroviruses (LTR-gagpr-rt-RNaseH-endo-LTR)<br />

(Figure 1). Some members of<br />

Ty3/gypsy superfamily also sometimes contain an<br />

additional open reading frame (ORF3) encoding an envlike<br />

gene.<br />

Cassava (Manihot esculenta Crantz) is the world’s sixth<br />

most important crop in terms of production (Mann, 1997)<br />

and the staple food of over 500 million people in the<br />

tropical regions of the world. It however, has been grossly<br />

understudied. In this study we isolated, cloned, sequenced<br />

and analysed cassava polyprotein fragment unique<br />

to Ty3/gypsy-like retrotransposons using degenerate<br />

PCR primers. Cassava Ty3/gypsy-like retrotransposons<br />

have been named Megyp for M. esculenta gypsy-like.<br />

The diversity and organization of Megyp within the<br />

cassava genome and their relationship to those of other<br />

plants are also analyzed. The nucleotide sequences<br />

described here have been submitted to the Genbank<br />

database and given the accession numbers AY946154 -<br />

AY946199.<br />

MATERIALS AND METHODS<br />

Plant material and DNA isolation<br />

Using the method of Dellaporta et al. (1983), DNA was extracted<br />

from young leaf samples of cassava cultivars grown in the tropical<br />

glasshouse at the University of Bath. The growth conditions include<br />

temperature at 22 to 28°C, relative humidity of 40 to 80% and a<br />

minimum light period of 12 h per day under day light, supplemented<br />

with 400 W Phillips high-pressure sodium lights when necessary.<br />

PCR Amplification of polyprotein fragment of Megyp<br />

sequences and cloning<br />

The PCR method used was as described by Suoniemi et al. (1998)<br />

with some modifications as described by Gbadegesin et al. (2008).<br />

Amplified DNA bands were gel purified (Qiagen, ‘Qiaquik’), ligated<br />

into pGEM ® -T Easy vector (Promega) and used to transform<br />

competent Escherichia coli DH5α according to standard procedures<br />

(Sambrook et al., 1989).<br />

DNA gel blot analysis<br />

Restriction digestions of genomic DNA (5 µg each) were carried out<br />

using buffer and reaction conditions specified by the manufacturer<br />

(Promega). Blotting and hybridisation were performed using<br />

standard procedures (Sambrook et al., 1989).<br />

Sequence and phylogenetic analyses<br />

DNA molecules were sequenced on an ABI 337 automated dye<br />

primer sequencer using universal primers for the cloning vector.<br />

The first line of sequence identification was by using BLASTN and<br />

TBLASTX searches against the GenBank non-redundant database<br />

at the default parameters (Altschul et al., 1990). The sequence<br />

fragments were assembled using the Vector NTI program.<br />

Consensus sequence data were aligned using CLUSTAL W<br />

(version 1.82) (Higgins et al., 1994). The PHYLIP program package<br />

version 3.63 (Felsenstein, 2004), available from the author at<br />

Department of Genetics, University of Washington, Seattle,<br />

Washington, was used for phylogenetic analysis. Consensus<br />

NEIGHBOR–joining trees (Saitou and Nei, 1987) were derived from<br />

equally parsimonious trees using the extended majority rule in the<br />

CONSENSE. Unless otherwise stated, distance matrices for<br />

phylogenetic analyses based on nucleotide sequences data were<br />

computed using DNADIST according to the Kimura 2-parameter<br />

model (Kimura, 1980). Trees were drawn using TREEVIEW program<br />

version 1.6.6 available from the author, Roderic D.M. Page of<br />

the Taxonomy Unit, Department of Zoology, University of Glasgow.<br />

RESULTS<br />

PCR amplification of cassava Ty3/Gypsy-like<br />

retrotransposon polyprotein fragment, cloning and<br />

sequence analysis<br />

PCR was carried out as described in the materials and<br />

methods section. The amplified products were analysed<br />

by electrophoresis on ethidium bromide stained 0.8%


Figure 2. PCR amplification of Ty3/gypsy-like polyprotein<br />

fragment from cassava genomic DNA. PCR product was run<br />

on a 0.8% agarose gel stained with ethidium bromide. The<br />

size marker (lane M) is bioline DNA 100 bp ladder, while the<br />

PCR product is shown in the right lane<br />

agarose gel. Approximately 1.6 kb cassava DNA was<br />

amplified (Figure 2). Amplified DNA was purified and<br />

cloned as described earlier.<br />

A clone was selected at random and sequenced from<br />

both ends using T7 and SP6 primers. The sequence was<br />

then submitted to BLASTN and TBLASTX searches<br />

against the GenBank non-redundant database using the<br />

default parameters. The searches confirmed that, a<br />

Ty3/gypsy-like polyprotein fragment had been amplified<br />

in the PCR experiments. The cassava element was 67%<br />

identical (within the region of the alignment) to the<br />

Ty3/gypsy-like retrotransposon polyprotein of Olea<br />

europaea at the amino acid sequence level (Figure 3).<br />

Thirty-six (36) clones (named Megyp1, Megyp2….<br />

Megy36) in total were randomly selected.<br />

Sequence and phylogenetic analysis<br />

The selected clones were partially sequenced in both<br />

directions using the T7 and SP6 primers. The sequences<br />

were assembled using the Vector NTI contig assembly<br />

program. The NTI contig assembly allowed visualization<br />

and removal of vector sequences. The vector free sequence<br />

data were submitted to BLASTN and TBLASTX<br />

searches as before. Sequencing from the 5’ end gave 26<br />

Megyp clones with good sequences of which 20 (77%)<br />

showed clear homology to the polyprotein of Ty3/gypsylike<br />

retrotransposons. However, sequencing from the 3’<br />

end gave 28 clones with good sequences of which 26<br />

(93%) showed clear homology to the polyprotein of<br />

Ty3/gypsy-like retrotransposons (in most cases E-value<br />

Gbadegesin and Beeching 3953<br />

were in the region of e -63 ). These data show that, cassava<br />

Ty3/gypsy-like retrotransposons are more diverged at the<br />

5’ end of the amplified polyprotein fragment compared<br />

with the 3’ end. Overall, the use of PCR primers<br />

anchored on RT and endonuclease domains proved<br />

useful and efficient for the isolation and characterisation<br />

of this group of cassava retroelements.<br />

The deduced translations of the Megyps left and right<br />

nucleotide sequences were obtained using ORF finder<br />

(www.ncbi.nlm.nih.gov/gorf/) (data not shown). Twelve<br />

(70.6%) of the clones having good left and right sequences<br />

and clear homology to Ty3/gypsy-like retrotransposon,<br />

contain neither a frame shift nor a nonsense<br />

mutation, while five (29.4%) have these mutations within<br />

the sequences analysed. While it is possible to say that<br />

the latter group could be defective enzymes, full<br />

sequence data would be necessary to conclude that the<br />

former code for functional enzymes.<br />

Two of the clones with uninterrupted open reading<br />

frames within the left and right sequences, Megyp5 and<br />

Megyp28, were fully sequenced. They contain no stop or<br />

frame shift mutations within the RT-RNaseH-endonuclease<br />

sequences analysed. The nucleotide sequences<br />

and deduced translation of these clones are shown in<br />

Figure 4a, b. The two shared 88% sequence identity at<br />

the nucleotide sequence level and 89% identity at the<br />

level of amino acid sequence. The 5’ (RT) ends of the<br />

Megyps are more diverged than the 3’<br />

(ENDONUCLEASE) ends and the Megyp5 and Megyp28<br />

nucleotide sequences did not align in the first 15<br />

nucleotide base positions (data not shown). However, the<br />

presence of the highly conserved block YAKFSKCEF of<br />

the RT domain characteristic of Ty3/gypsy retrotransposons<br />

(highlighted grey in Figures 4a, b) is a quick<br />

check and provides strong evidence for it being part of<br />

the polyprotein sequence in all of the cassava Ty3/gypsylike<br />

retrotransposons.<br />

To determine the relatedness of the cassava Ty3/<br />

gypsy–like retrotransposons to each other the nucleotide<br />

sequences (with the primer regions removed) for the 17<br />

Megyps (left and right fragments for 15; full ~1.6 kb<br />

fragment sequences for Megyps 5 and 28) were aligned<br />

using CLUSTAL W) (Higgins et al., 1994). The aligned<br />

nucleotide sequences were used to compute a distance<br />

matrix using DNADIST of the PHYLIP package version<br />

3.63 (Felsenstein, 2004), according to the Kimura 2parameter<br />

model (Kimura, 1980). Trees were then produced<br />

using the neighbor-joining method.<br />

This method is based on all pairwise comparisons in<br />

which positions for which there was no sequence data,<br />

for example, the central regions for all sequences other<br />

than Megyp5 and 28, were treated as missing data rather<br />

than as gaps (Felsenstein, 2004).<br />

Using an extended majority rule in the CONSENSE<br />

program from the PHYLIP package, a consensusunrooted<br />

tree was derived from 100 equally parsimonious<br />

trees. The consensus tree was drawn using TREEVIEW


3954 Afr. J. Biotechnol.<br />

Me: 55 CKIYQRVKLEHQKPAGMLNPLPIPEWKWENVVMDFVVGLPATSNRLNSIWVIVDRLTKSA 234<br />

C + Q+VK+EHQKPAG LNPL IPEWKWEN+ MDFVVG P ++ N+IWV+VDRLTKSA<br />

Oe: 1535 CMVCQQVKVEHQKPAGWLNPLDIPEWKWENITMDFVVGFPKSAIGNNAIWVVVDRLTKSA 1714<br />

Me: 235 HFIPVRSGYSVDKLAQVYVEEIIRLHGAPVSIVSDRRLQFTSRSWRSLQNAMGTRLDLST 414<br />

HF+PV+ +S+D+LAQ+Y+++++RL G PVSIVSDR L+FTS+ W+SLQ AMGT+L+ ST<br />

Oe: 1715 HFLPVKMTFSLDQLAQLYIKDVVRLCGVPVSIVSDRDLRFTSKFWKSLQGAMGTKLNFST 1894<br />

Me: 415 AFHPQTDGQSER 450<br />

A+HPQTDGQSER<br />

Oe: 1895 AYHPQTDGQSER 1930<br />

Figure 3. Alignment of cassava (Me) amino acid sequence with Olea europaea (Oe) amino acid sequence of partial<br />

polyprotein gypsy-like retrotransposon (gi, 7283091). The two sequences show 67% identity and 86% homology.<br />

(version 1.6.6) as shown in (Figure 5). Three families of<br />

Megyps, I, II and III emerged from the phylogenetic<br />

analysis (Figure 5). There are seven, six and four clones,<br />

respectively in these families.<br />

The predicted amino acid sequences of the plant<br />

Ty3/gypsy-like polyprotein listed in Table 1 and that of<br />

Gypsy were aligned with those of Megyps (representative<br />

cassava Ty3/gypsy-like retrotransposons) using the<br />

CLUSTAL W programme (1.82) and colour shaded in<br />

GENDOC as shown in Figure 6. The alignment reveals<br />

blocks of residues previously identified as highly conserved<br />

(Barber et al., 1990; Kulkosky et al., 1992; Springer<br />

and Britten, 1993; Xiong and Eickbush, 1990). There is<br />

highly conserved block YAKFSKCEF (box a) that<br />

includes the invariant lysine (underlined) of reverse transcriptase<br />

(Barber et al., 1990).<br />

The conserved TDAS motif that defined the RNase H<br />

region in most other Ty3/gypsy-like retrotransposons<br />

(Springer and Britten, 1993) is present in most cassava<br />

elements as CDAS (box b). In both cases, a key activesite<br />

aspartate (Campbell and Ray, 1993) is conserved.<br />

Also, conserved in the two fully sequenced cassava<br />

Ty3/gypsy POL fragments, Megyp5 and 28, is the motif<br />

N-3-DXL (box c) known to be essential in RNase H<br />

catalysis (Campbell and Ray, 1993).<br />

The N-terminal DNA-binding domain of integrase<br />

(Kedar and Khan, 1990) is revealed as a conserved X-6-<br />

H-29-C-2-C motif (box d), from which all the cassava<br />

elements lack the first four upstream amino acids, a<br />

feature shared with many other published sequences of<br />

Ty3/gypsy POL (box d, Figure 6). The highly conserved<br />

N-terminal GLLQPLPI motif (box e) of integrase is<br />

present in all the Megyps as homologous GMLNPLPI.<br />

Also present in the aligned Megyps is a D-60-D-35-E<br />

motif of integrase domain, where E is part of the 3’ primer<br />

sequence (not included in the alignment). The D,D-35-E<br />

motif is completely conserved in retroviral and retrotransposon<br />

integrases and is essential for enzymatic<br />

activity (Baker and Luo, 1994; Kulkosky et al., 1992).<br />

Overall, the amino acid sequences of the predicted<br />

translation of cassava Ty3/gypsy-like POL compared well<br />

with other Ty3/gypsy elements. This therefore confirmed<br />

them again as authentic Ty3/gypsy-like polyprotein sequences.<br />

Three families of Megyps and other plants Ty3/gypsylike<br />

retrotransposons emerged from the subsequent<br />

phylogenetic analysis (Figure 7). The cassava elements<br />

on the tree are indicated with arrowheads. These<br />

analyses revealed a high level of heterogeneity of<br />

Megyps among the reported plant Ty3/gypsy group retrotransposon<br />

using a PCR based assay. There are two<br />

monophyletic families (I and II) consisting of cassava<br />

Ty3/gypsy-like retrotransposons. The two clades were<br />

supported by bootstrap values of 49 and 45%,<br />

respectively, in the extended majority rule consensus tree<br />

(Figure 7). The third clade (III) supported by 100%<br />

bootstrap value consists of Gypsy of Drosophila<br />

melanogaster and the Ty3/gypsy-like retrotransposons of<br />

Arabidopsis thaliana rAt1, Ananas comosus, Oryza<br />

sativa, Hordeum vulgare rHv1, Lilium henryi del and one<br />

cassava element, Megyp18 and at 63% bootstrap, a<br />

second cassava element (Megyp 22) is included in this<br />

clade. The association within the sequences in this clade<br />

is very robust as shown by the high values of the<br />

bootstrap. Surprisingly, Megyp18 associated closely with<br />

Gypsy and Ty3-2 in clade III (Figure 7) Gypsy, like other<br />

retrovirus-like Ty3/gypsy retrotransposons, is known to<br />

encode env-like activity. Further studies would be<br />

required to classify the Megyps in this grouping as<br />

members of these endogenous retroviruses.<br />

Study on the genomic organization and diversity of<br />

Ty3/Gypsy-like retrotransposons in cassava cultivars<br />

A representative cassava Ty3/gypsy-like polyprotein<br />

fragment, Megyp5, was used to probe Southern blots of<br />

restriction digests of genomic DNA from a range of


A<br />

Gbadegesin and Beeching 3955<br />

1 ctggggttggtcttgcagactttgagggaacatggcttgtatgccaagttctctaaatgt<br />

L G L V L Q T L R E H G L Y A K F S K C<br />

61 gagttctggctgaggagcatttcgttcttggggcatgtagtgtcagagaatggtattgag<br />

E F W L R S I S F L G H V V S E N G I E<br />

121 gtagaccccaagaagacaaaaactgtggctaactggcctagacccacttcagtaacagag<br />

V D P K K T K T V A N W P R P T S V T E<br />

181 attagaagtttcttgggtttggcaggttactacaggaggttcgttcaggacttctcaaag<br />

I R S F L G L A G Y Y R R F V Q D F S K<br />

241 atagtagctcctctgaccagactgaccaggaagaatcagaagtttctgtggaccgacctg<br />

I V A P L T R L T R K N Q K F L W T D L<br />

301 tgcgaggagagtttcgaagagcttaagaagaggttgacttcagcaccagtgttagctctg<br />

C E E S F E E L K K R L T S A P V L A L<br />

361 ccatctagtgatgaggactttacagtcttttgtgatgcgtcccatatgggactgggttgt<br />

P S S D E D F T V F C D A S H M G L G C<br />

421 gtactgatgcagaatgagagggtgatcgcttatgcttctaggcagctgaagaagcatgag<br />

V L M Q N E R V I A Y A S R Q L K K H E<br />

481 ttgaattaccccacacatgaccttgagatggcagcagtaatctttgtactcaagatgtgg<br />

L N Y P T H D L E M A A V I F V L K M W<br />

541 aggcattacctctatggggtgaaatgtgagatctttacagatcataagagcctgcagtac<br />

R H Y L Y G V K C E I F T D H K S L Q Y<br />

601 atcttgagtcagagggatctgaatctgaggcagaggaggtgggtggagctgctgagtgac<br />

I L S Q R D L N L R Q R R W V E L L S D<br />

661 tatgattgcaagattcagtatcatccgggtaaggcgaatgtcgtggcagacgccctaagc<br />

Y D C K I Q Y H P G K A N V V A D A L S<br />

721 cggaagtcactaggcagtctatcccacatcgcggcagagaggagaccagtggtgaaggaa<br />

R K S L G S L S H I A A E R R P V V K E<br />

781 ttctacaagcttattgaggaaggtctacagttggagttgtctggtacaggtgccttagtg<br />

F Y K L I E E G L Q L E L S G T G A L V<br />

841 gcccagatgagagtagcacccatgtttctggagcaggtggctcagaaacagcatgaggac<br />

A Q M R V A P M F L E Q V A Q K Q H E D<br />

901 ccggagttagtgaaggttgccaggactgttcagtcaggcaaggatagcgagtacagattc<br />

P E L V K V A R T V Q S G K D S E Y R F<br />

961 gacagtaaagggatcctccgctatgggagcagactatgtgtaccagatgacattgggcta<br />

D S K G I L R Y G S R L C V P D D I G L<br />

1021 aaaggagacattatgagagaggctcataatgcaagatacagcattcaccctggagccact<br />

K G D I M R E A H N A R Y S I H P G A T<br />

1081 aagatgtatcaagatttgaagaaagtttattggtggccagcgatgaagaaagaagtggca<br />

K M Y Q D L K K V Y W W P A M K K E V A<br />

1141 cagttcgtgtcagcctgcgaagtgtgtcagagggtgaagctggaacatcagaagccggct<br />

Q F V S A C E V C Q R V K L E H Q K P A<br />

1201 ggaatgcttaacccgctacctatcccagaatggaaatgggagaatatagctatggacttc<br />

G M L N P L P I P E W K W E N I A M D F<br />

1261 gtagtggggttaccggcggcgtccaacagagtggactccatatgggtgattgtggacaga<br />

V V G L P A A S N R V D S I W V I V D R<br />

1321 ctcaccaaatctgctcacttcattcctgtcaggagtggctactctgtagacaagttggcg<br />

L T K S A H F I P V R S G Y S V D K L A<br />

1381 caggtgtatgtagatgagatcgtcaggctgcatggggttcctgtttcgatagtgtcagat<br />

Q V Y V D E I V R L H G V P V S I V S D<br />

1441 agagggccccagttcacctccagattttggcggagtctgcagaatgccatgggtactagg<br />

R G P Q F T S R F W R S L Q N A M G T R<br />

1501 ttggatttcagtactgccttc 1521<br />

L D F S T A F<br />

Figure 4. (A) Nucleotide sequence and deduced translation of Megyp5. The primer sequences are<br />

omitted. The highly conserved amino acid sequence block YAKFSKCEF of RT domain characteristic of<br />

Ty3/gypsy retrotransposons is highlighted grey. Recognition enzyme sequences are shown in bold<br />

face for Eco RI (underlined), Hind III (oval) and Bgl II (box) used in Southern analysis of cassava; (B)<br />

Nucleotide sequences and deduced translations of Megyp28. Primer sequences are omitted. The<br />

highly conserved amino acid sequence block YAKFSKCEF of RT domain characteristic of Ty3/gypsy<br />

retrotransposons is highlighted grey. Restriction enzymes sequences are shown as detailed in Figure<br />

4a.


3956 Afr. J. Biotechnol.<br />

B<br />

1 ctgaggataatattacagaccttgagggaacatggcttgtatgccaagttctccaagtgt<br />

L R I I L Q T L R E H G L Y A K F S K C<br />

61 gagttctggttaaggagcatatcattcttggggcatatagtgtcagagaatggaatagag<br />

E F W L R S I S F L G H I V S E N G I E<br />

121 gtagaccccaagaagatagaagctgtgactaactggccaagacccacctcagtgacagag<br />

V D P K K I E A V T N W P R P T S V T E<br />

181 atcagaagcttcttgggtttggctggctactacaggaggttcgttcaggacttctctaag<br />

I R S F L G L A G Y Y R R F V Q D F S K<br />

241 attgcagctcctttaaccagattaaccagaaagaatcagagattcgagtggaccgatcag<br />

I A A P L T R L T R K N Q R F E W T D Q<br />

301 tgtgaagaaagtttcgaagagcttaagaagaggttgacttcagcaccagtgttagctctg<br />

C E E S F E E L K K R L T S A P V L A L<br />

361 ccaaacagcaatgaggatttcacagtgttctgtgatgcatccagagtaggcctgggttgt<br />

P N S N E D F T V F C D A S R V G L G C<br />

421 gtgttgatgcagaatggtaaggtgatcgcttatgcttctagacagccgaagaggcatgag<br />

V L M Q N G K V I A Y A S R Q P K R H E<br />

481 ttgaattaccccacacacgacctggaaatggcagcagttatctttgccctcaagatgtgg<br />

L N Y P T H D L E M A A V I F A L K M W<br />

541 aggcattacctctatggggtaaaatgtgagatcttcacagatcataagagcctgcagcac<br />

R H Y L Y G V K C E I F T D H K S L Q H<br />

601 atcttgaaccagagagagctgaacttgaggcagaggagatgggtagaactgttgagtgac<br />

I L N Q R E L N L R Q R R W V E L L S D<br />

661 tacgattgcaagatccagtaccatccgggtaaggctaatgtagtagctgatgccttaagc<br />

Y D C K I Q Y H P G K A N V V A D A L S<br />

721 cggaaatcacttggcagtctatcccacatcacggcagagaggagaccggtggtgaaggag<br />

R K S L G S L S H I T A E R R P V V K E<br />

781 ttttataagctcattgaggagggtctacagatggagttgtctggtacaggtgctttgatt<br />

F Y K L I E E G L Q M E L S G T G A L I<br />

841 gcacagatgaaagtaacccccgtgtttctggagcaagtggctcagaaacagcacgaggac<br />

A Q M K V T P V F L E Q V A Q K Q H E D<br />

901 ccagagttagtgaagattgccaggactgttcagtcaggcaaagatagtgagttcagattt<br />

P E L V K I A R T V Q S G K D S E F R F<br />

961 gatgataaggggatcctccgctatgggaacagactatgtgtaccagatgacatcgggcta<br />

D D K G I L R Y G N R L C V P D D I G L<br />

1021 aaaggagacattatgagagaggctcataatgcaaggtacagtgttcaccctggagccacc<br />

K G D I M R E A H N A R Y S V H P G A T<br />

1081 aagatgtaccaggatctgaagggagtgtattggtggccagctatgaagagggaagtggca<br />

K M Y Q D L K G V Y W W P A M K R E V A<br />

1141 cagttcgtgtcagcctgcgaaatatgtcagagggtgaagctggaacatcagaagccggct<br />

Q F V S A C E I C Q R V K L E H Q K P A<br />

1201 ggaatgcttaacccactgccgattccagagtggaaatgggagaacatagctatggatttt<br />

G M L N P L P I P E W K W E N I A M D F<br />

1261 gtagtggggttaccggcaacatccaacagactagactccatatgggtgattgtggacaga<br />

V V G L P A T S N R L D S I W V I V D R<br />

1321 ctcaccaaatctgctcacttcatccctgttaggagcaactactctgtggataagttagcg<br />

L T K S A H F I P V R S N Y S V D K L A<br />

1381 caggtttatgtggatgaagttgtcaggctgcatggggtcccagtttctatagtgtcagat<br />

Q V Y V D E V V R L H G V P V S I V S D<br />

1441 agagggccccagttcacctccaggttttggcggagtctgcagaatgctatgggtaccagg<br />

R G P Q F T S R F W R S L Q N A M G T R<br />

1501 ttggatttcagtactgccttc 1521<br />

L D F S T A F<br />

Figure 4. Contd.


Gbadegesin and Beeching 3957<br />

Figure 5. Phylogenetic analysis of 17 cassava Ty3/gypsy-like retrotransposons (Megyps). The tree is based on 17<br />

nucleotide sequences of pol gene fragments (Megyps): 15 are partial sequences from the two ends of the ~1.6 kb gene<br />

fragments, while Megyps 5 and 28 were full 1.6 kb length. This is a consensus neighbor-joining unrooted tree<br />

constructed with the PHYLIP package from the distance matrix following the Kimura 2-parameter model (Kimura, 1980).<br />

Bootstrap values (100 replicates) are shown.<br />

Table 1. Sources of polyprotein amino acids sequences used in comparative<br />

phylogenetic analysis with the 16 cassava Megyps amino acid sequences.<br />

Locus or sequence name Source species Gi number<br />

A. comosus Ananas comosus 2995405<br />

O. sativa Oryza sativa 37532428<br />

Del Lilium henryi 19442<br />

rHv1 Hordeum vulgare 3413486<br />

rAt1 right Arabidopsis thaliana 3413430<br />

rAt1 left Arabidopsis thaliana 3413431<br />

Ty3-2 Saccharomyces cerevisiae 1084606<br />

Gypsy Drosophila melanogaster 130583<br />

The table shows the name of Ty3/gypsy retrotransposons and the GI (Geneinfo<br />

identifier) number of corresponding polyprotein as well as the name of the source<br />

organisms. The romani elements are rHv1 and rAt1.


3958 Afr. J. Biotechnol.<br />

Figure 6. Alignment of the predicted amino acid sequences for 16 polyprotein fragments of cassava Ty3/gypsy-like retrotransposons<br />

with those of eight other plants. Ty3-2 and Gypsy are included for reference (detail of the polyproteins in Table 4). Each of the clones<br />

was represented by either translation of full ~1.6 kb or partial sequences from the two ends of the POL fragments. Colour blocking<br />

indicates sequence conservation. Black = 100% identity, deep grey = > 80% identity, light grey = > 60% identity and non-shaded = <<br />

60% identity. Letters in bold orange colour below the alignment and boxed regions labelled with small letter a-e indicate the key residues<br />

conserved in all related enzymes as explained in the text.<br />

cassava cultivars. Following high stringency washes (0.2<br />

X SSC, 0.1% SDS, 65°C), strong signals were observed<br />

in all the digests (Figure 8) and the autoradiograph<br />

required a short exposure time. This showed that, the


Figure 6. Contd.<br />

Megyp5 sequence and its homologues were highly<br />

repeated within these genomes. The probe contained<br />

one each of the Bgl II, Eco RI and Hind III recognition<br />

sites (Figure 4a), which could explain the presence of<br />

Gbadegesin and Beeching 3959<br />

two bands in the DNA digestions by each of these<br />

enzymes. However, multiples of two hybridising bands<br />

were observed for each of the three enzymes (Figure 8),<br />

indicating that multiple copies of Megyp5 and relatives


3960 Afr. J. Biotechnol.<br />

Figure 6. Contd.<br />

were integrated in the genome. Many of the bands are<br />

very strong and distinct but there are few weak ones<br />

suggesting that Megyp5 is cross hybridising with<br />

sequences highly homologous to the probe, represented<br />

by the strong major bands, as well as related diverged<br />

fragments, seen as weak signals. The cultivars showed<br />

no clear polymorphism of hybridisation fragments with<br />

Megyp5 probe used (Figure 8).<br />

DISCUSSION<br />

The detection of Ty3/gypsy-like retrotransposons using<br />

heterologous primers based on conserved domain of RT<br />

in PCRs has not been efficient due to the relatively high<br />

sequence heterogeneity among these elements (Su and<br />

Brown, 1997). The main problem with the use of these<br />

primers alone has been in the frequent amplification of<br />

other sequences (other retroelements, transposons and<br />

non-transposons), in addition to the desired Ty3/gypsy<br />

sequences. For instance, of forty four sequenced clones<br />

following genomic DNA PCR amplification using primers<br />

based on the conserved RT domain in Brassica sp, only<br />

twenty were similar to any of the known transposon types<br />

and just fifteen were Ty3/gypsy-like of all known lineages<br />

(Alix and Heslop-Harrison, 2004). In contrast, the use of<br />

degenerate PCR primers anchored on both the integrase<br />

and reverse transcriptase (Suoniemi et al., 1998) has<br />

proved a more robust and reliable tool, as the design of<br />

these primers exploited the differences in the domainorder<br />

between the Ty1/copia and Ty3/gypsy groups of<br />

retrotransposons. The usefulness of these primer sets<br />

has been confirmed here by the isolation and characterisation<br />

of the polyprotein fragment diagnostic of<br />

Ty3/gypsy-like retrotransposon in cassava. This has<br />

enabled a study of diversity of this group of retrotran-


Gbadegesin and Beeching 3961<br />

Figure 7. Comparative phylogenetic analysis of 16 cassava Ty3/gypsy-like retrotransposons (Megyps) with other eight<br />

from other organisms. The tree is based on predicted amino acid sequences of pol gene fragments. This is a consensus<br />

neighbor-joining unrooted tree constructed with PHYLIP package. Distance matrix used the Jones-Taylor-Thornton model<br />

(Jones et al., 1992). Three groups of Ty3/gypsy-like retrotransposons were revealed. The cassava elements are indicated<br />

with arrowheads. Fourteen of them clustered into two monophyletic groups but Megyp18 and Megyp22 associated with<br />

Gypsy and Ty3-2 group. The identities of other sequences used in comparative analyses with cassava’s are as in Table 2.<br />

Bootstrap values (100 replicates) = > 45% is shown.


3962 Afr. J. Biotechnol.<br />

23.1<br />

9.4<br />

6.56<br />

4.36<br />

2.3<br />

2.0<br />

0.56<br />

M 1 2 3 4 5 6 7 8 9 10 11 12 M 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 M<br />

Bgl II<br />

EcoR I<br />

Hind III<br />

Figure 8. Southern blot analysis of Ty3/gypsy-like polyprotein of 12 cassava cultivars. 10 µg of genomic DNA from each<br />

of the cassava cultivars; lanes 1 (MGA1); 2 (MNGA2); 3 (MDOM5); 4 (MNGA19); 5 (MCOL22); 6 (CMC40); 7 (MVEN77);<br />

8 (CG402); 9 (SM627); 10 (SM985); 11 (SM1088); 12 (CM2177) were digested with Bgl II, Eco RI or Hind III. The<br />

digested DNAs were separated on 0.8% agarose gels, transferred to nylon membrane and hybridised with the Megyp5<br />

probe. Hind III-digested lambda DNA was used as a DNA size marker (M).<br />

sposons in this important food crop. This approach has<br />

also provided better information from all the conserved<br />

domains for better resolution of the Ty3/gypsy group than<br />

could be afforded by the use of individual enzymatic<br />

domains (Springer and Britten, 1993; Wright and Voytas,<br />

1998; Xiong and Eickbush, 1990).<br />

Alignments of the nucleotide sequences of cassava<br />

Ty3/gypsy clones (Megyps) and subsequently, the<br />

inferred phylogenetic tree led to the identification of<br />

diverse members of this group of elements in cassava. In<br />

addition, the predicted translation of Megyps, aligned with<br />

other plant Ty3/gypsy sequences, revealed the presence<br />

of conserved residues established to be critical for<br />

enzymatic activity of integrase, reverse transcriptase and<br />

RNase H (Campbell and Ray, 1993; Kedar and Khan,<br />

1990; Baker and Luo, 1994; Kulkosky et al., 1992) and<br />

proving that they represent authentic Ty3/gypsy-like<br />

retrotransposon sequences and suggesting that they<br />

were probably derived from recently active elements.<br />

Phylogenetic analysis of cassava and other plant<br />

Ty3/gypsy polyproteins revealed a level of heterogeneity<br />

in cassava elements that has not been reported in many<br />

of plant Ty3/gypsy group retrotransposons. Most cassava<br />

Ty3/gypsy-like retrotransposons are clustered into<br />

monophyletic sub-groups (Figure 7). The groupings were<br />

supported by bootstrap values of 49 and 45%. The low<br />

bootstrap values are most probably due to the<br />

heterogeneity of the cassava sequences. Megyp18<br />

clustered closely with Ty3-2 retroelements (Figure 7)<br />

suggesting that, Megyp18 represents the retrovirus<br />

lineage of Ty3/gypsy retrotransposons in the genome of<br />

cassava.<br />

The findings in this study also support the suggestion<br />

23.1<br />

9.4<br />

6.56<br />

4.36<br />

2.3<br />

2.0<br />

0.56<br />

that, the use of primers based on conserved domains of<br />

RT, which have proved inefficient for the isolation of<br />

plants Ty3/gypsy-like retrotransposons, could be the<br />

limiting factor in the study of the diversity and heterogeneity<br />

among plants Ty3/gypsy-like retrotransposons. In<br />

fact, the availability of the whole genome sequence has<br />

revealed the presence of seven families of Ty3/gypsy-like<br />

retrotransposons in A. thaliana (Wright and Voytas, 2002).<br />

Availability of more Ty3/gypsy-like sequences from other<br />

plants may give a better picture of the diversity of this<br />

group of retrotransposons among plants. In their study,<br />

Wright and Voytas (2002) further used primers specific<br />

for the conserved domains of RT of endogenous retroviruses<br />

lineage of Ty3/gypsy-like retrotransposons to<br />

make a survey of this family of retrotransposons among<br />

plants. The PCR assay revealed that, they are almost<br />

universally present in genome of dicots and old-world<br />

monocots (Wright and Voytas, 2002). Their ubiquitous<br />

nature and potential for horizontal transfer by infection<br />

implicates these retrotransposons as important vehicles<br />

for plant genome evolution (Wright and Voytas, 2002).<br />

Also of interest is the fact that, Ty3/gypsy-like<br />

retrotransposons from a single or related plant species<br />

were clustered in a subfamily indicating that, sequence<br />

divergence during vertical transmission has a major<br />

influence on the evolution of this group of retrotransposons<br />

in plants. The presence of more than one family<br />

of Ty3/gypsy-like retrotransposons in one plant species<br />

indicates that, the retrotransposons of a family could<br />

evolve independently within a species without affecting<br />

the evolution of the members of other families. Southern<br />

hybridisation supports the diversity identified by sequencing<br />

and highlights that, multiple copies of Megyps are


integrated in the genome of all cassava cultivars tested.<br />

However, these cultivars have the same pattern of<br />

hybridisation with the three different restriction enzymes<br />

(Bgl II, Eco RI or Hind III) digestion of the genomic DNA.<br />

This suggests that, there are no recent retrotransposition<br />

activities among these cassava elements. However, a<br />

unique distribution of Ty3/gypsy-like sequences was<br />

found for each of the four basic genomes of Hordeum<br />

genus except for the subspecies H. vulgare and H.<br />

spontaneum that were reported to show no polymorphism<br />

of hybridisation fragments with all the Ty3/gypsy clones<br />

used as probe (Vershinin et al., 2002). Also, study on the<br />

genomic organization of the Ty3/gypsy-like retrotransposons<br />

of different oil palm species and accessions by<br />

southern hybridisation revealed minor differences (Kubis,<br />

et al., 2003).<br />

ACKNOWLEDGEMENTS<br />

The first author would like to acknowledge funding from<br />

the Commonwealth Scholarship Commission, UK. This<br />

publication is part of an output from a research project<br />

funded by the United Kingdom, Department for International<br />

Development (DFID) for the benefit of developing<br />

countries: R8156 Crop Post-Harvest Programme.<br />

The views expressed are not necessarily those of DFID.<br />

This work has been carried out in compliance with the<br />

current laws governing genetic experimentation in the<br />

U.K.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 3964-3972, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1752<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Genetics of trichomes and its association with fibre and<br />

agronomic traits in cotton<br />

Nausherwan Nobel Nawab 1* , Qamar Shakil 1 , Shahid Niaz 2 , Muhammad Munir Iqbal 1 ,<br />

Muhammad Ahsan Asif 1 and Iftikhar Ahmad Khan 1<br />

1 Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan.<br />

2 Vegetable Research Institute, Faisalabad, Pakistan.<br />

Accepted 1 April, 2011<br />

Hairiness/trichomes act as an important insect non-preference trait. The inheritance of this trait was<br />

studied in three cross combinations involving a common pilose parent with three sparse hairy parents<br />

which showed a theoretical monohybrid ratio of 1:2:1, showing incomplete dominance in F2. The<br />

positive correlation of number of trichomes with lint percentage and micronaire suggested that the<br />

selection for pilose hairiness would be helpful in enhancing the lint percentage and fibre fineness. The<br />

number of trichomes had no effect on the expression of the traits like number of monopodial branches,<br />

number of sympodial branches, number of bolls, boll weight and seed cotton yield which proved no<br />

chance of undesirable linkage of these traits with number of trichomes.<br />

Key words: Gossypium hirsutum L., trichomes, inheritance, fibre traits, agronomic traits.<br />

INTRODUCTION<br />

The sustainability of cotton production worldwide has<br />

been affected due to the piercing, sucking insect pests<br />

and bollworms which are a serious threat to the cotton<br />

crop. Insect pests constitute a major factor in production<br />

in all over the cotton growing areas of the world. In recent<br />

times, insect control has been totally based on the use of<br />

chemical insecticides. During the 1970’s and 1980’s, the<br />

use of insecticides increased tremendously in almost all<br />

cotton producing countries of the world including<br />

Pakistan.<br />

In Pakistan, during 2007- 2008 a total of 28 thousand<br />

tonnes of insecticides was imported which measures the<br />

foreign exchange of 74.5 million US dollars (GOP, 2007-<br />

08). Little emphasis was placed on the plant genetic<br />

resistance as a means of suppressing insect pests.<br />

Painter (1951) noted that there were no efforts made to<br />

develop genetic resistance to cotton insect pests. Genetic<br />

resistance in the form of resistant varieties is an effective<br />

means of minimizing yield losses caused by insect pests<br />

and also leads to reduction in the use of insecticides<br />

(Vaden Bosch, 1972; Van Dinther, 1972; Maxwell et al.,<br />

1972; Bhatti et al., 1976). In the present scenario, by failing<br />

*Corresponding author . E-mail: nnnawab24a@gmail.com. Tel:<br />

0092-41-2652518 or 0092-321-766-2112.<br />

to cope with all other possible means for insect control,<br />

research has been accelerated on the host plant<br />

resistance.<br />

Hairiness/trichomes act as an important insect nonpreference<br />

trait. The role of trichomes in plant defence<br />

was evaluated by Levin (1973). It is clear that trichomes<br />

play a role in plant defence, especially with regard to<br />

phytophagous insects. Hairiness has been reported to<br />

have a resistance against the sucking insect pests of cotton<br />

(Lee, 1985). The degree of hair or trichome density on<br />

the leaves of Gossypium species and cultivars is related<br />

to varying degrees of resistance/susceptibility to sucking<br />

pests, like whiteflies (Meagher et al., 1997), aphids and<br />

jassids (Jenkins, 1989; Watson, 1989), or the boll weevil<br />

(Thomson and Lee, 1980; Percy and Kohel, 1999). The<br />

degree of jassid resistance had definite correlation with<br />

the pilosity of the plant. The more tufted types were less<br />

prone to jassid attack (Sikka et al., 1966).<br />

The genetics of the insect resistance traits in cotton<br />

have been reported to be governed by oligogenes<br />

(Endrizzi et al., 1984). Knight (1952) identified two genes<br />

for hairiness in cotton whereas, Niles (1980) reported that<br />

the increase in the plant hairiness is governed by two<br />

major genes and a complex of modifier genes. The major<br />

gene was designated as H1 for sparse hairiness. A<br />

second major gene, H2 controlled the finely dense<br />

pubescence in an upland mutant designated as ‘pilose’.


In the F1 populations, both H1 and H2 showed incomplete<br />

dominance (Simpson, 1947; Niles, 1980; Rahman and<br />

Khan, 1998).<br />

From industrial point of view, agronomic and fibre<br />

quality traits hold a special position. The effect of pilosity<br />

on agronomic traits was studied by Lee (1984) but no,<br />

significant inferences were inferred for the trichome count<br />

per cm, lint percentage and boll weight. The physical<br />

parameters required for good spinning performance of<br />

cotton fibre is a challenge for breeders. The pilose<br />

condition is associated with decreased fibre length and<br />

increased micronaire (Simpson, 1947; Lee, 1964, 1984).<br />

But Kloth (1993) discovered a pilose like plant with<br />

unexpectedly low micronaire among the homozygous<br />

pilose plants.<br />

Breeding through conventional tools has not lost its<br />

significance even in the presence of modern tools of<br />

science. Keeping in view, the extensive use and consumption<br />

of cotton and its products, there is a need for<br />

breeding varieties by incorporating the gene for hairiness<br />

into promising cotton genotypes, which in turn will not<br />

only minimize possible insect pest attack and insecticide<br />

usage but also helps to improve yield and fibre quality<br />

attributes. The information reported herein, would be<br />

useful in determining the genetics for trichomes and its<br />

effects on agronomic and fibre traits.<br />

MATERIALS AND METHODS<br />

Four cotton genotypes, Acala 63-74, FH 1000, CIM 446 and HRVO-<br />

1 were selected and selfed for four generations by growing twice a<br />

year, in a glasshouse and field during 2003 to 2004. The selected<br />

parents with contrasting traits (Table 1) were planted in 300 × 300<br />

mm earthen pots, containing a mixture of equivalent proportion of<br />

sand, soil and farmyard manure, during November, 2004 in a<br />

glasshouse. Temperature in the glasshouse was maintained at 30 ±<br />

2°C during the day and 25 ± 2°C at night by using built in steam<br />

heaters. The plants were exposed to natural sunlight supplemented<br />

with artificial lighting, for a photoperiod of 16 h (ICAC, 2007). Three<br />

crosses were attempted to obtain F0 seed during February to<br />

March, 2005. The selfed seed of the parents was obtained by<br />

covering their floral buds with butter paper bags. The crossing<br />

scheme is given in Table 2. The F1 and their parents were sown<br />

during the normal crop season of 2006 in two different sets planted<br />

at two different locations. The F1 plants of each cross were divided<br />

in three groups for developing BC1, BC2 and F2 for each<br />

combination. The fresh F0, BC1 and BC2 seed was developed by<br />

manual crossing, while the seed for F2 generations was produced<br />

for each of the four combinations through manual selfing. The<br />

experimental field was fertilized with N-P-K at the rate of 100-75-00<br />

Kg/ha. The experiment in the field was laid out in a randomized<br />

complete block design with three replications of each of the six<br />

generations of the three crosses. The length of the plot was<br />

maintained at 4.5 m, accommodating approximately 15 plants<br />

spaced 300 mm apart.<br />

The distance between the rows was 750 mm. A single plot per<br />

replication was assigned to each of the parents and their respective<br />

F1, while four plots per replication were assigned to each of the<br />

backcrosses and eight plots per replication were assigned to raise<br />

the F2 population of each cross. Ten guarded plants were selected<br />

randomly in the parents and their F1, while fifty and thirty plants in<br />

each replication were selected in F2 and backcross generations,<br />

Nawab et al. 3965<br />

respectively, to record the data during 2006. At maturity, the data<br />

on various agronomic traits viz; plant height, number of monopodial<br />

branches, number of sympodial branches, number of bolls, seed<br />

cotton yield, boll weight and lint percentage were recorded. Fibre<br />

quality characteristics like fibre length, fibre strength, fibre fineness,<br />

fibre elongation percentage and fibre uniformity ratio of each plant<br />

of a generation were measured using Spin lab high volume<br />

instrument (HVI-900-A), M/S Zellweger Uster, Switzerland,<br />

available in the Department of Fibre Technology, University of<br />

Agriculture, Faisalabad, Pakistan. HVI measures fibre quality<br />

characteristics according to the international trading standard. A<br />

minimum of 10 g sample of lint from each of the guarded plants in<br />

each generation was pre-conditioned to moisture applicability for at<br />

least four to five hours prior to testing in the HVI. Fibre length was<br />

measured, on the basis of the fibrograph. The samples were<br />

prepared at fibro sampler in the form of fibre comb and the<br />

fibrograph-910 brushed the sample fibres automatically by vacuum<br />

action, and optical density of the sample was displayed on the<br />

screen. The mean fibre length was derived according to the ASTM<br />

(1977a) standard through the procedure laid down by Hunter<br />

(1991). The average fibre length was calculated in mm for further<br />

analysis. Fibre bundle strength was determined by Pressley<br />

strength tester using the flat bundle method as specified by ASTM<br />

standard (1977b). The fibre elongation was measured on HVI-900-<br />

A. When a sample was moved into an optical sensor, where the<br />

test for length and strength were performed, the percentage<br />

increase in the length before fibre breakage was measured<br />

(Anonymous, 1992a, b). For fibre uniformity ratio, the sample was<br />

moved into the optical sensor of HVI-900-A and the reading of<br />

optical density of the sample was displayed on the screen. The<br />

uniformity ratio of fibre was measured according to ASTM standard<br />

(1977a). Fibre fineness of micronaire value was measured on<br />

fibrofine-920 device of HVI-900- A. When lid of the chamber<br />

containing a sample is closed, the sample is compressed to a fix<br />

and known volume. The sample was weighed on an electric<br />

balance before placing in the test chamber. This balance<br />

transmitted the mass through the control processor. This mass was<br />

accepted if the weight was between 8.5 and 11.5 g of cotton. The<br />

measured values of mass and pressure calculated were in fineness<br />

value according to ASTM standard (1977c).<br />

Trichome density studies<br />

Trichomes represent the presence of small hairs on the cotton plant<br />

(Figure 1). The trichome density on leaves was estimated following<br />

the method proposed by Bourland et al. (2003). Three leaves at<br />

random, each from upper, middle and lower portion of five plants in<br />

parents and their F1’s and thirty and fifty plants were selected in<br />

BC’s and F2’s in all the three replications were used to assess for<br />

the quantitative measure of trichomes on the abaxial leaf surface.<br />

Observations pertaining to the number of trichomes were recorded<br />

with the help of an index card within an area of 1 mm 2 (Figure 2) lay<br />

over the abaxial side of each leaf from three different positions and<br />

averaged. The resultant mean values for number of trichomes from<br />

three different portions of the plant were worked out as the final<br />

reading for average number of trichomes per unit area. Trichomes<br />

in the 1 mm 2 area were counted with the aid of high magnifying<br />

power microscope (Olympus Z61).<br />

On the basis of the trichome counts made for the leaves, a rating<br />

scale was developed to categorize the trichome density on abaxial<br />

surface of leaves by using a scale of 1 for sparsely (non) hairiness,<br />

2 for moderate number of trichomes, 3 for (pilose) hairiness (Lee,<br />

1968; Wright et al., 1999; Bourland et al., 2003; Stiller et al., 2004;<br />

Lacape and Nguyen, 2005).<br />

Chi-squared values and probabilities of goodness of fit of the<br />

segregation ratios of F2 and backcross generations were tested<br />

against theoretical ratio (Harris, 1912). Phenotypic and genotypic


3966 Afr. J. Biotechnol.<br />

Table 1: Distinctive morphological features of the upland cotton accessions<br />

S.No. Variety/ Accession Parentage Hairiness state Origin<br />

1 Acala 63-74 - Glabrous USA.<br />

2 CIM 446 CP 15/2 × S 12 Lightly hairy CCRI, Multan, Pakistan.<br />

3 FH 1000 S 12 × CIM 448 Lightly hairy CRI, Faisalabad, Pakistan.<br />

4 HRVO-1 B-557/2/Gambo Okra/Rajhans/3/Rajhans Pilose hairiness CRI, Faisalabad, Pakistan.<br />

* CCRI = Central Cotton Research Institute, Multan. Pakistan. * CRI = Cotton Research Institute, Faisalabad. Pakistan.<br />

Table 2: Scheme of crossing<br />

S.No. Cross Trait Considered<br />

1 HRVO-1 × FH 1000 Pilose hairiness × Lightly hairy<br />

2 HRVO-1 × CIM 446 Pilose hairiness × Lightly hairy<br />

3 HRVO-1 × Acala 63-74 Pilose hairiness × Glabrous<br />

(a) Pilose hairiness (P1)<br />

H2H2<br />

Figure 1. Inheritance of leaf trichome trait<br />

(c) Intermediate class of hairiness (F1)<br />

H2h2<br />

(b) Normal hairiness (P2)<br />

h2h2


correlation coefficients between trichome counts and agronomic<br />

and fibre traits were determined using the F2 data. Phenotypic<br />

correlation coefficients were calculated following Dewey and Lu<br />

(1959) using Minitab computer programme. The genetic<br />

correlations (rg) between two characters X and Y were calculated<br />

following Falconer (1981).<br />

RESULTS<br />

Genetic studies<br />

The mean squares from the analysis of variance for<br />

agronomic/fibre and number of trichomes for six generations<br />

in three cotton crosses were tested at two different<br />

locations and are presented in Table 3. Phenotypic<br />

classes were developed as evident from Table 4, on the<br />

basis of the trichome count ratings on the abaxial leaf<br />

surface in the three crosses involving pilose hairy and<br />

normal/sparse hairy plants. The inheritance pattern for<br />

trichomes/hairiness in three different cross combinations<br />

was studied on the basis of the F2 and test/back cross<br />

population data.<br />

In all the three cross combinations, leaf trichomes<br />

segregated into three distinct classes (Figure 3). Nonsignificant<br />

chi-squared values were observed for the<br />

segregating ratios in F2 and backcross generations of the<br />

three crosses. Observations of 1 sparse hairiness : 2<br />

intermediate class of hairiness : 1 pilose hairiness on<br />

leaves were observed in the F2 populations of the three<br />

crosses. In the backcrosses with parent-I, ratios of 1 pilose :<br />

1 intermediate, leaf hairiness were obtained. Similarly, in<br />

the backcrosses with parent-II, ratios of 1 sparse : 1<br />

Figure 2 Trichome counts on the abaxial side of cotton leaf with an<br />

area of 1 mm2 of an index card.<br />

intermediate, leaf hairiness were observed.<br />

Phenotypic and genotypic correlations<br />

Nawab et al. 3967<br />

In all the three crosses (Table 5), there existed positive<br />

and significant correlation of number of trichomes with lint<br />

percentage. For fibre length and fibre strength, there was<br />

highly significant and negative correlation with number of<br />

trichomes. A significant and positive correlation of<br />

number of trichomes with micronaire value meant a<br />

negative correlation of number of trichomes with fibre<br />

fineness in all of the three cross combinations. In the<br />

case of fibre uniformity ratio and fibre elongation, a<br />

negative association with number of trichomes was<br />

observed in the crosses.<br />

The study of number of trichomes were negatively but<br />

significantly correlated with plant height in the cross<br />

HRVO-1 × CIM 446. Non-significant correlations of<br />

number of trichomes with number of monopodial<br />

branches, number of sympodial branches, number of<br />

bolls, seed cotton yield and boll weight were recorded.<br />

DISCUSSION<br />

Genetic studies<br />

Highly significant differences among different generations<br />

for all characters studied (Table 3) were observed in all<br />

the three crosses. Significant differences among different<br />

generations indicated the existence of genetic variability.


3968 Afr. J. Biotechnol.<br />

Table 3. Mean squares from analysis of variance along with the calculated F-values in parenthesis for agronomic/fibre and number of trichomes for six generations in three cotton crosses<br />

tested at two different locations.<br />

Source D.F<br />

Replication 2 1.62<br />

(1.62)<br />

Generation 5 5.46<br />

(5.44)<br />

Location 1 0.40<br />

(0.40)<br />

G × L 5<br />

1.37<br />

(1.37)NS<br />

HRVO-1 × FH 1000 Probability (F-value)<br />

PH NMB NSB NBP BWt SCY L% FL FS FE U % Mic T 0.05 0.01<br />

0.010<br />

(0.47)<br />

0.113<br />

(5.33)<br />

0.002<br />

(0.12)<br />

0.022<br />

(1.06)NS<br />

0.38<br />

(1.05)<br />

56.96<br />

(156.7)<br />

0.092<br />

(0.25)<br />

0.298<br />

(0.82)<br />

NS<br />

1.20<br />

(3.37)<br />

66.64<br />

(187.3)<br />

0.059<br />

(0.17)<br />

0.144<br />

(0.40)<br />

NS<br />

0.004<br />

(0.93)<br />

0.88<br />

(190.7)<br />

0.004<br />

(0.82)<br />

0.002<br />

(0.47)<br />

NS<br />

1.02<br />

(3.39)<br />

2561.12<br />

(8485.1)<br />

1.28<br />

(4.23)<br />

0.15<br />

(0.49)<br />

NS<br />

0.91<br />

(3.03)<br />

40.95<br />

(135.6)<br />

1.00<br />

(3.33)<br />

0.044<br />

(0.15)<br />

NS<br />

0.003<br />

(0.16)<br />

5.56<br />

(357.9)<br />

0.010<br />

(0.66)<br />

0.009<br />

(0.58)<br />

NS<br />

0.02<br />

(0.06)<br />

2.98<br />

(9.84)<br />

0.25<br />

(0.82)<br />

0.26<br />

(0.87)<br />

NS<br />

0.004<br />

(0.45)<br />

0.082<br />

(9.4)<br />

0.001<br />

(0.02)<br />

0.001<br />

(0.09)<br />

NS<br />

1.39<br />

(1.21)<br />

82.78<br />

(72.25)<br />

0.001<br />

(0.00)<br />

0.002<br />

(0.001)<br />

NS<br />

0.009<br />

(3.0)<br />

0.352<br />

(140.7)<br />

0.000<br />

(0.04)<br />

0.001<br />

(0.25)<br />

NS<br />

96.68<br />

(1.70)<br />

28576.09<br />

(504.4)<br />

40.19<br />

(0.71)<br />

48.58<br />

(0.85)<br />

NS<br />

Error 22 1.00 0.021 0.364 0.356 0.005 0.302 0.302 0.016 0.30 0.009 0.146 0.003 56.65<br />

HRVO-1 × CIM 446<br />

Replication 2 1.12<br />

(0.55)<br />

Generation 5 62.98<br />

(31.10)<br />

Location 1 7.70<br />

(3.80)<br />

G × L 5 1.42<br />

(0.70)<br />

NS<br />

0.00<br />

(0.03)<br />

0.023<br />

(24.04)<br />

0.004<br />

(4.20)<br />

0.001<br />

(0.56)<br />

NS<br />

0.18<br />

(0.07)<br />

17.82<br />

(7.26)<br />

5.53<br />

(2.25)<br />

6.45<br />

(6.10)<br />

NS<br />

0.235<br />

(0.64)<br />

25.95<br />

(71.3)<br />

0.340<br />

(0.93)<br />

0.280<br />

(0.57)<br />

NS<br />

0.00<br />

(0.22)<br />

0.650<br />

(335.66)<br />

0.009<br />

(4.25)<br />

0.003<br />

(1.75)<br />

NS<br />

3.29<br />

(3.33)<br />

1210.5<br />

(1215.8)<br />

3.32<br />

(3.36)<br />

1.26<br />

(1.27)<br />

NS<br />

0.16<br />

(1.30)<br />

9.74<br />

(78.97)<br />

0.82<br />

(6.66)<br />

0.175<br />

(1.42)<br />

NS<br />

0.24<br />

(4.70)<br />

12.54<br />

(3.2)<br />

0.032<br />

(0.42)<br />

0.071<br />

(0.95)<br />

NS<br />

0.43<br />

(3.08)<br />

6.30<br />

(45.70)<br />

0.25<br />

(1.80)<br />

0.23<br />

(0.17)<br />

NS<br />

0.035<br />

(1.12)<br />

0.60<br />

(19.32)<br />

0.051<br />

(1.61)<br />

0.036<br />

(1.14)<br />

NS<br />

0.188<br />

(3.36)<br />

4.64<br />

(83.65)<br />

0.095<br />

(1.71)<br />

0.025<br />

(0.45)<br />

NS<br />

0.00<br />

(0.08)<br />

0.69<br />

(362.8)<br />

0.00<br />

(0.18)<br />

0.001<br />

(0.38)<br />

NS<br />

4.62<br />

(0.98)<br />

39653.05<br />

(8433.6)<br />

20.00<br />

(4.25)<br />

0.78<br />

(0.17)<br />

NS<br />

Error 22 2.02 0.001 2.45 0.364 0.002 0.99 0.123 0.075 0.14 0.031 0.056 0.002 4.70<br />

HRVO-1 × Acala 63-74<br />

Replication 2 4.02 0.09 0.112 0.34 0.005 0.55 0.098 0.006 0.03 0.02 0.04 0.001 158.12<br />

(0.73) (1.38) (0.71) (0.34) (1.23) (0.13) (0.22) (0.19) (0.74) (0.69) (0.75) (0.45) (3.29)<br />

Generation 5 71.26 1.87 33.19 12.93 1.55 1268.54 8.80 0.136 0.36 0.42 0.88 0.36 33179.38<br />

(12.9) (28.7) (210.5) (13.21) (419.9) (301.9) (20.10) (4.54) (8.48) (14.45) (16.35) (181.3) (691.7)<br />

Location 1 92.18<br />

(16.79)<br />

G × L 5 3.36<br />

(0.61)<br />

NS<br />

0.06<br />

(0.90)<br />

0.001<br />

(0.02)<br />

NS<br />

0.67<br />

(4.24)<br />

0.29<br />

(1.85)<br />

NS<br />

4.16<br />

(4.24)<br />

1.19<br />

(1.22)<br />

NS<br />

0.002<br />

(0.63)<br />

0.006<br />

(1.57)<br />

NS<br />

0.16<br />

(0.04)<br />

2.00<br />

(0.47)<br />

NS<br />

0.63<br />

(1.43)<br />

0.204<br />

(6.80)<br />

0.10<br />

(2.40)<br />

0.001<br />

(0.02)<br />

0.14<br />

(2.63)<br />

0.041<br />

(20.30)<br />

Error 22 5.49 0.065 0.16 0.97 0.004 4.20 0.44 0.030 0.04 0.029 0.05 0.002 47.96<br />

0.162<br />

(0.37)<br />

NS<br />

0.022<br />

(0.74)<br />

NS<br />

0.02<br />

(0.51)<br />

NS<br />

0.029<br />

(0.98)<br />

NS<br />

0.04<br />

(0.78)<br />

NS<br />

0.00<br />

(0.21)<br />

NS<br />

30.14<br />

(0.62)<br />

3.95<br />

(0.08)<br />

NS<br />

3.44 5.72<br />

2.66 3.99<br />

4.30 7.95<br />

2.66 3.99<br />

3.44 5.72<br />

2.66 3.99<br />

4.30 7.95<br />

2.66 3.99<br />

3.44 5.72<br />

2.66 3.99<br />

4.30 7.95<br />

2.66 3.99<br />

PH = Plant height, NMB = no. of monopodial branches/plant, NSB = no. of sympodial branches/plant, NBP = no. of bolls/plant, SCY = seed cotton yield, BWt = boll weight, L% = lint percentage, FL =<br />

fibre length, FS = fibre strength, FE = fibre elongation, U% = fibre uniformity ratio, FF = fibre fineness.


Number of plants<br />

Number of plants<br />

Number of plants<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

P 2<br />

a) HRVO x FH 1000<br />

P 2<br />

B 2<br />

F 1<br />

F 2<br />

40 60 80 100 120 140 160 180 200 220 240<br />

b) HRVO x CIM 446<br />

B 2<br />

F 1<br />

F 2<br />

40 60 80 100 120 140 160 180 200 220 240<br />

c) HRVO x Acala 63-74<br />

P 2<br />

B 2<br />

40 60 80 100 120 140 160 180 200 220 240<br />

Figure 3. Frequency distributions for number of leaf trichomes in F2 generations of three crosses..<br />

B 1<br />

B 1<br />

F 2<br />

F 1<br />

B 1<br />

Nawab et al. 3969<br />

P 1<br />

P 1<br />

P 1


3970 Afr. J. Biotechnol.<br />

Table 4: Chi-Squared values and probabilities of goodness of fit of segregation ratios of F2 and backcross generations in a study of inheritance of leaf<br />

trichomes trait<br />

Cross Gen. Expected<br />

Ratios<br />

HRVO-1 × FH 1000<br />

HRVO-1 × CIM 446<br />

HRVO-1 × Acala 63-74<br />

Sparse<br />

Hairy<br />

Observed value Expected value<br />

Intermediate<br />

Hairy<br />

Pilose<br />

Velvet<br />

Sparse<br />

Hairy<br />

Intermediate<br />

Hairy<br />

Pilose<br />

Velvet<br />

χ 2 Prob.<br />

F2 1: 2:1 34 79 37 37.5 75 37.5 0.55 0.90-0.75<br />

BC1 1:1 - 53 37 - 45 45 2.84 0.10-0.05<br />

BC2 1:1 36 54 - 45 45 - 3.60 0.10-0.05<br />

F2 1: 2:1 41 69 40 37.5 75 37.5 0.97 0.75-0.50<br />

BC1 1:1 - 37 53 - 45 45 2.84 0.10-0.05<br />

BC2 1:1 48 42 - 45 45 - 0.40 0.75-0.50<br />

F2 1: 2:1 35 74 41 37.5 75 37.5 0.50 0.90-0.75<br />

BC1 1:1 - 47 43 - 45 45 0.18 0.75-0.50<br />

BC2 1:1 52 38 - 45 45 - 2.18 0.25-0.10<br />

Table 5: Genotypic (upper value) and phenotypic (lower value) correlations along with the probability values given in parenthesis for<br />

number of trichomes and agronomic/fibre traits in three cotton crosses.<br />

Trait 1 2 3<br />

Number of Trichomes<br />

L %<br />

0.85**<br />

(0.00)<br />

0.81**<br />

(0.00)<br />

FL<br />

-0.96**<br />

(0.00)<br />

-0.71**<br />

(0.00)<br />

FS<br />

-0.98**<br />

(0.00)<br />

-0.86<br />

(0.00)<br />

FE<br />

-0.83**<br />

(0.00)<br />

-0.71**<br />

(0.00)<br />

U% -0.83**<br />

(0.00)<br />

-0.73**<br />

(0.00)<br />

FF<br />

0.69*<br />

(0.040)<br />

0.56*<br />

(0.048)<br />

0.92**<br />

(0.00)<br />

0.91**<br />

(0.00)<br />

-0.95**<br />

(0.00)<br />

-0.95**<br />

(0.00)<br />

-0.98**<br />

(0.00)<br />

-0.96**<br />

(0.00)<br />

-0.95**<br />

(0.00)<br />

-0.74**<br />

(0.00)<br />

-0.97**<br />

(0.00)<br />

-0.92**<br />

(0.001)<br />

0.62*<br />

(0.042)<br />

0.60*<br />

(0.040)<br />

0.90**<br />

(0.00)<br />

0.88**<br />

(0.00)<br />

-0.75**<br />

(0.00)<br />

-0.72**<br />

(0.00)<br />

-0.90**<br />

(0.00)<br />

-0.80**<br />

(0.00)<br />

-0.88**<br />

(0.00)<br />

-0.72**<br />

(0.00)<br />

-0.86**<br />

(0.00)<br />

-0.82**<br />

(0.00)<br />

0.63*<br />

(0.045)<br />

0.60*<br />

(0.040)<br />

Trait 1 2 3<br />

Number of Trichomes<br />

PH<br />

-0.35<br />

(0.064)<br />

-0.34<br />

(0.063)<br />

0.16<br />

NMB<br />

(0.133)<br />

0.15<br />

(0.149)<br />

NSB -0.18<br />

(0.105)<br />

-0.18<br />

(0.105)<br />

NBP -0.29<br />

(0.07)<br />

-0.28<br />

(0.068)<br />

SCY 0.27<br />

(0.22)<br />

0.26<br />

(0.18)<br />

BWt<br />

0.17<br />

(0.12)<br />

-0.18<br />

(0.11)<br />

-0.88**<br />

(0.00)<br />

-0.84**<br />

(0.00)<br />

-0.07<br />

(0.32)<br />

-0.06<br />

(0.34)<br />

0.38<br />

(0.07)<br />

0.30<br />

(0.10)<br />

-0.34<br />

(0.09)<br />

-0.23<br />

(0.058)<br />

0.22<br />

(0.06)<br />

0.18<br />

(0.10)<br />

0.15<br />

(0.14)<br />

0.12<br />

(0.20)<br />

L% = Lint percentage, FL = Fibre length, FS = Fibre strength, FE = Fibre elongation, U% = Fibre uniformity ratio,<br />

FF = Fibre fineness, PH = Plant height, NMB = No. of monopodial branches/plant, NSB = No. of sympodial branches/plant,<br />

NBP = No. of bolls/plant, SCY = Seed cotton yield, BWt = Boll weight.<br />

1 = HRVO-1 × FH-1000, 2 = HRVO-1 × CIM-446, 3 = HRVO-1 × Acala 63-74.<br />

*P < 0.05 = Significant, **P < 0.01 = Non-significant.<br />

However, the non-significant values of the generation ×<br />

location interactions (G × L) in the three cross combina-<br />

-0.12<br />

(0.20)<br />

-0.11<br />

(0.22)<br />

-0.29<br />

(0.08)<br />

-0.28<br />

(0.09)<br />

-0.32<br />

(0.08)<br />

-0.29<br />

(0.061)<br />

-0.26<br />

(0.10)<br />

-0.21<br />

(0.07)<br />

-0.35<br />

(0.25)<br />

-0.32<br />

(0.19)<br />

-0.22<br />

(0.072)<br />

-0.24<br />

(0.081)<br />

tions further confirmed the authenticity of the results as<br />

these results were independent of the environmental


influence. The intermediate (H2h2) progeny in F1 was due<br />

to incomplete dominance. The two homozygous extremes<br />

for trichomes/hairiness : pilose hairy (H2H2) and<br />

sparse/normal hairy (h2h2) were easily distinguishable<br />

(Figure 3). The F2 data regarding number of trichomes<br />

were categorized into three main classes (Table 4):<br />

pilose hairy (H2H2), sparse/normal hairy (h2h2) and intermediate<br />

hairy (H2h2) (Simpson, 1947). The major gene is<br />

designated as H1 for sparse hairing. A second major<br />

gene, H2 controls the finely dense pubescence in an<br />

upland mutant designated as ‘pilose’. In the F1 populations,<br />

both H1 and H2 showed incomplete dominance<br />

(Niles, 1980; Rahman and Khan, 1998). The segregation<br />

in the backcrosses with parent-I and parent-II also fit to<br />

the theoretical ratio of 1:1 which further confirmed the<br />

incomplete dominance pattern of inheritance. The nonsignificant<br />

chi-square values in F2 for trichomes in all the<br />

crosses fit well against the theoretical monohybrid ratio of<br />

1:2:1.This ratio is in proximity to the understanding gotten<br />

from Figure 3a, suggesting that inheritance of this trait<br />

can be manipulated easily in a breeding programme.<br />

However, a very small proportion of plants fell in another<br />

interme-diately resembling hairiness category. This<br />

phenotypic expression of the intermediate hairy state in<br />

hetero-zygous condition was probably affected by the<br />

genetic background of the parents indicating, modifying<br />

gene effects (Falconer and Mackay, 1996; Rieseberg et<br />

al., 1996; Xu et al., 1997; Rahman and Khan, 1998;<br />

Schwarz-Sommer et al., 2003).<br />

Phenotypic and genotypic correlations<br />

Correlation in plant breeding is a useful tool of indirect<br />

selection of the secondary trait with the improvement in<br />

the primary trait. Correlation coefficient is a statistical<br />

measure which is used to find out the degree and<br />

direction of the relationship between two or more variables.<br />

A positive value gives the indication of the same direction<br />

of the two variables in question and vice-versa. Fibre<br />

quality traits hold a special position from the cotton<br />

spinning industry. It was therefore, necessary to study the<br />

effect of this insect non-preference trait (trichomes) on<br />

the fibre quality determining traits. Genotypic correlations<br />

indicated correlation between the two characters (Table<br />

5). Similar type of magnitude was observed by Dhanda et<br />

al. (1984) and Tyagi (1987) for genetic correlations. The<br />

higher values of phenotypic correlation coefficients than<br />

the genotypic correlation coefficients where ever present,<br />

indicating that the correlation between the two characters<br />

was not only due to genes, but environment also played<br />

its role in the expression of the character. The fibre<br />

fineness is recorded in micronaire value. This means that<br />

the higher the magnitude of micronaire value, the lesser<br />

will be the fineness of the fibre and vice-versa. Significant<br />

correlation between the two characters gave dependency<br />

of the two characters, while non-significant correlation<br />

indicated the independent nature of the two characters<br />

Nawab et al. 3971<br />

under study as suggested by Singh and Narayanan<br />

(2000).<br />

The positive correlation of number of trichomes with lint<br />

percentage in all of three crosses (Table 4) suggested<br />

that the selection for pilose hairiness would be helpful in<br />

enhancing the lint percentage. This result is in line with<br />

that of Lee (1984) and Kloth (1993). The negative<br />

correlation of fibre length, fibre strength, fibre uniformity<br />

ratio, fibre elongation and micronaire value (positive<br />

correlation of number of trichomes with fibre fineness)<br />

with number of trichomes in the crosses corroborated to<br />

the findings of Lee (1964, 1984). The negative correlation<br />

of hairiness/trichomes with these mentioned traits determining<br />

fibre quality gave an understanding that the<br />

presence of the genes controlling these traits might be<br />

present on the same chromosome. Reports are also<br />

available regarding the pilosity with shorter fibre (Kohel et<br />

al., 1967, Lee, 1964, 1984). Association of hairiness with<br />

short fibre length was supposed to be gene pleiotropy as<br />

it was proposed by Simpson (1947) but the later studies<br />

by Kloth (1993) proved this association to be a linkage<br />

between the genes affecting hairiness and fibre quality<br />

determining traits.<br />

The negative correlation of trichomes with plant height<br />

in HRVO-1 × CIM 446 suggest that increase in hairiness<br />

state would decrease the plant height but otherwise,<br />

there would be no effect on other morphological traits.<br />

Yield determining traits like number of monopodial<br />

branches, number of sympodial branches, number of<br />

bolls, boll weight and seed cotton yield are components<br />

of an efficient breeding programme. Non-significant<br />

correlations of these traits with number of trichomes/<br />

hairiness revealed that hairiness or number of trichomes<br />

had no effect on the expression of these agronomic/yield<br />

related traits. In contrast to the effect of number of<br />

trichomes on fibre related traits, a well documented proof<br />

is available but the effect of the same on yield<br />

determining traits was proved in the present manuscript<br />

as a step forward in the research on trichomes. Incorporation<br />

of the gene for hairiness into commercial cotton<br />

cultivars will not only limit the population of the sucking<br />

insects but also result in the improvement of the fibre<br />

attributes without disturbing the major traits relating to<br />

yield (number of monopodial branches, number of<br />

sympodial branches, number of bolls, boll weight and<br />

seed cotton yield).<br />

Keeping in view, the bio-safety requirements of the<br />

emerging era and the available knowledge of the<br />

naturally conferring resistance against insects, the<br />

present studies were performed to investigate the genetics<br />

of hairiness/trichomes in relation with the agronomic and<br />

fibre related traits in cotton. The main conclusions from<br />

this work are the non-significant chi-square values in F2<br />

for trichomes in all the crosses which fit well against the<br />

theoretical monohybrid ratio of 1:2:1. The positive<br />

correlation of number of trichomes with lint percentage<br />

and micronaire (negative correlation of number of<br />

trichomes with fibre fineness) in all the three crosses


3972 Afr. J. Biotechnol.<br />

suggested that the selection for pilose hairiness would be<br />

helpful in enhancing the lint percentage and fibre<br />

fineness.<br />

The present findings elaborated the novelty of the<br />

research with a confidence that incorporation of the gene<br />

for pilosity had no effect on the expression of these<br />

agronomic/yield related traits.<br />

Acknowledgement<br />

The authors are thankful to Dr. Muhammad Shafique<br />

Tahir, Assistant Botanist and Dr. Noor-Ul-Islam, Director,<br />

Cotton Research Institute, Ayub Agricultural Research<br />

Institute, Faisalabad, Pakistan for providing the<br />

germplasm as well as support in basic field<br />

operations.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 3973-3977, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2304<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Quick and sensitive determination of gene expression<br />

of fatty acid synthase in vitro by using real-time<br />

polymerase chain reaction amplification (PCR)<br />

Zuo-Hua Liu 1,2 , Jin-Long Yang 1,2 , Fei-Yun Yang 1 , Ding-Biao Long 1 , Ren-Yong Jia 2 , Kang-<br />

Cheng Pan 2 * and Dai-Wen Chen 3<br />

1 Chongqing Academy of Animal Science, Chongqing, 402460, Chongqing China.<br />

2 College of Veterinary Medicine of Sichuan Agricultural University, Yaan 625014, Sichuan Province, China.<br />

3 Institute of Animal Nutrition, Sichuan Agricultural University, Yaan 625014, Sichuan Province, China.<br />

Accepted 17 March, 2011<br />

Obesity results from an imbalance between energy intake and energy expenditure, which leads to a<br />

pathological accumulation of adipose tissue, but the underlying mechanism at gene level, is far from<br />

being elucidated. The objective of this study was to investigate the correlation between mRNA express<br />

from fatty acid synthase (FAS) with a different glucose level in primary adipocytes by real-time<br />

polymerase chain reaction amplification (PCR), which can aid in the understanding of the mechanism of<br />

obesity in vitro. By using the following formula, this study was able to quantify the mRNA expression of<br />

FAS of unknown samples: Y = -3.156X + 41.21 (Y = threshold cycle, X = log starting quantity). The high<br />

concentrations of glucose group significantly improved the mRNA expression of FAS (P < 0.01) rather<br />

than 0.25 and 0% concentrations of glucose. These results provide significant data that confirm an<br />

association between different glucose level and FAS expression in preadipocytes. The glucose<br />

concentration of the high group substantially augmented the mRNA expression of FAS.<br />

Key words: Expression, fatty acid synthase, lipid deposition, real-time polymerase chain reaction amplification<br />

(PCR).<br />

INTRODUCTION<br />

Excessive weight gain can be attributed to the interactions<br />

among environmental factors (dietary intake and<br />

physical activity), genetic predisposition and the<br />

individual behaviors (Campion et al., 2009; Lomba et al.,<br />

2010). Thus, genetic predisposition is an important determinant<br />

of the increasing prevalence of metabolic<br />

syndrome and associated complications such as obesity<br />

(Stone et al., 2002; Speakman, 2007; Dorn et al., 2010).<br />

Obesity is strongly associated with the metabolic<br />

syndrome and related to many diseases such as<br />

hypertension, heart disease and diabetes. Obesity results<br />

from an imbalance between energy intake and energy<br />

expenditure, leading to a pathological accumulation of<br />

adipose tissue (Kopelman, 2000). It has a heterogeneous<br />

*Corresponding author. E-mail: 391556428@qq.com. Tel: +86-<br />

23-46792362. Fax: +86-23-46792362.<br />

phenotype with the involvement of multiple genes and<br />

their interactions with non-genetic factors (Vladimir et al.,<br />

1997). The accumulation of fat is caused by hypertrophy<br />

and hyperplasia of adipocytes. Therefore, an understanding<br />

of the molecular basis of hyperplasia as well as<br />

hypertrophy would contribute to the establishment of<br />

medical treatments for preventing health risks that can<br />

cause serious illnesses and death (Hishida et al., 2007).<br />

One explanation for the increase in the number of<br />

adipocytes is that, the uptake of exogenously derived<br />

fatty acids (FA) and de novo of biosynthesis of FA are<br />

increased and the hydrolysis of acylglycerols is<br />

decreased. Among the different mechanisms that could<br />

lead to fat deposition and obesity, the epigenetic<br />

regulation of gene expression has emerged in recent<br />

years as a potentially important contributor (Campion et<br />

al., 2009; Lomba et al., 2010). Recent studies have revealed<br />

that, several proteins such as fatty acid synthase<br />

(FAS), a key enzyme regulating lipid metabolism, play


3974 Afr. J. Biotechnol.<br />

Table 1. Details of the primer pairs and cDNA concentration used for the FQ-PCR.<br />

Name 5′ sequence 3′ Amplicon size (bp) cDNA (µM)<br />

Forward(FAS -F) AGCCTAACTCCTCGCTGCAAT 196 1<br />

Reverse(FAS -R) TCCTTGGAACCGTCTGTGTTC 1<br />

TaqMan probe(FAS -P) (FAM) TCCTGCGGCATCCACGAGACCACC (Eclipse) 1.2<br />

The cDNA concentration refers to the final concentration of cDNA equal to reverse-transcribed RNA in each PCR.<br />

important roles in adipocyte metabolism (Lomba et al.,<br />

2010; Marie et al., 2010). The events occurring during the<br />

stages of adipocyte meta-bolism are relatively well<br />

characterized, but the molecular mechanisms underlying<br />

the stages of adipogenesis remain unknown.<br />

This study reported a fluorescent quantitative real-time<br />

polymerase chain reaction amplification (FQ-PCR) assay<br />

for quantifying FAS gene expression at different glucose<br />

levels in primary adipocytes. The results of this study<br />

provide interesting data that may help understand the<br />

molecular mechanisms underlying the stages of adipogenesis.<br />

MATERIALS AND METHODS<br />

Isolation of adipocyte precursors from pig adipose tissue<br />

Epididymal fat pads of healthy pigs (age, 18 to 20 days; Landrace)<br />

were removed under sterile conditions and transferred to ice-cold<br />

Dulbecco's modified eagle medium containing penicillin, streptomycin<br />

and fungizone (Sangon Biological Engineering Technology<br />

and Services Co., Ltd, Shanghai, China). Preadipocytes were<br />

isolated as described by Janke et al. (2002).<br />

Cells were cultured with different glucose contents<br />

Preadipocytes were incubated at 37°C in a humidified atmosphere<br />

with 5% CO2 as described by Janke et al. (2002). The cells were<br />

stimulated to proliferate over 24 h and then, glucose was added at<br />

various concentrations to the culture medium (glucose-free<br />

adipocyte medium, supplemented with 1 µM insulin; 0.25% glucose<br />

adipocyte medium, supplemented with 1 µM insulin and 0.5%<br />

glucose adipocyte medium, supplemented with 1 µM insulin).<br />

Gene expression analyzed using FQ-PCR<br />

RNA isolation and FQ-PCR<br />

Preadipocytes (1 ml) were trypsinized with 1 ml digestive, washed<br />

once with PBS, and pelleted (380 g, 10 min) after glucose was<br />

added at various concentrations to the culture medium at 2, 4, 8, 16<br />

and 32 h. Total RNA was extracted with TRIzol (Invitrogen,<br />

Carlsbad, CA) according to the manufacturer’s instructions. An ABI<br />

PRISM 7000 sequence detection system (Applied Biosystems,<br />

Foster City, CA) was used for FQ-PCR. The reaction mixture was<br />

prepared using the universal PCR master mix (Applied Biosystems)<br />

according to the manufacturer’s instructions. The mixture was<br />

incubated at 50°C for 5 min and at 94°C for 40 s and then, the PCR<br />

was performed by 34 cycles at 94°C for 40 s and at 59°C for 40 s,<br />

72°C for 40 s and an additional extension period at 72°C for 2 min.<br />

Melting curve from 65 to 95°C read every 0.5°C hold 5 s. Relative<br />

standard curves were generated in each experiment to calculate<br />

the input amounts of the unknown samples. Sensitivity and<br />

specificity analysis of the assay was as described by Yang et al.<br />

(2009).<br />

Specific RT-PCR primer and probe design<br />

Expression analysis was performed for the genes encoding FAS<br />

published sequences at GenBank. The oligonucleotide primer set<br />

for the gene was designed using Primer Premier 5.0 software. The<br />

sequences and concentrations of primers and cDNA are shown in<br />

Table 1. The specificity of all the primers was tested by searching<br />

the homologous DNA sequences against the GenBank BLAST<br />

database.<br />

Preparation of standard templates<br />

The conventional RT-PCR was performed for standard RNA using<br />

the primers (FAS-F, FAS-R) mentioned earlier. The standard template<br />

was prepared as described by Yang et al. (2008).<br />

Establishment of the FQ-PCR standard curve<br />

Standard plasmids (1 × 10 9 copies/µl) were used to establish the<br />

standard curve .The Primers (FAS-F, FAS-R and FAS-P) were used<br />

for this amplification and their concentrations ranged from 1 × 10 8 to<br />

1 × 10 2 gene copies/µl. A regression curve was constructed by<br />

plotting the threshold cycle (Ct) values versus the logarithm of the<br />

RNA copy number. Analysis of the measures was undertaken after<br />

each run to verify identical amplification efficiencies and conditions<br />

between runs.<br />

Finally, based on the data for generating the standard curve with<br />

the software of the iCycler IQ Detection System (Bio-Rad, USA), Ct<br />

values for each sample were determined from the point at which<br />

fluorescence breached the threshold fluore-scence line (Yang et al.,<br />

2008; Yang et al., 2009).<br />

Statistical analysis<br />

Data were expressed as means ± SDs. Statistical significance of<br />

the differences was determined using Student’s t-test. P values less<br />

than 0.01 were considered statistically significant (Kang et al.,<br />

2010).<br />

RESULTS<br />

Standard curve of the established FQ-PCR<br />

The standard curve of FQ-PCR was constructed using


Liu et al. 3975<br />

Figure 1. FAS gene FQ-PCR standard curve graph. A, standard curve of FAS by the FQ-PCR: B, dissociation curve for FAS. Ten-fold<br />

dilutions of standard DNA ranging from 1×10 8 to 1×10 2 copies/µl were used, as indicated in the x-axis, whereas the corresponding cycle<br />

threshold (Ct) values are presented on the y-axis. Each dot represents the result of triplicate amplification of each dilution. The correlation<br />

coefficient and the slope value of the regression curve were calculated and are indicated.<br />

serially diluted plasmids with tenfold dilution, ranging from<br />

10 8 to 10 2 copies as templates. The correlation coefficients<br />

of the standard curve was 0.9998 and the PCR<br />

efficiencies was greater than 0.95 (Figure 1). The high<br />

PCR reaction efficiencies indicated that, the FQ-PCR<br />

assay was suitable for genomic DNA quantification. The<br />

good linearity between DNA quantities and fluorescence<br />

values (Ct) indicated that, the assay was well suitable for<br />

quantitative measurements. By using the following<br />

formula, this study could quantify the mRNA expression<br />

of FAS of unknown samples: Y = -3.156X + 41.21 (Y =<br />

threshold cycle, X = log starting quantity).<br />

Sensitivity, specificity analysis of the established FQ-<br />

PCR<br />

Ten-fold dilutions of the standard templates were tested<br />

by the established FQ-PCR assay to evaluate the sensitivity<br />

of the system and the detection limit was found to<br />

be 1.0 × 10 1 copies/reaction (data no shown).<br />

The test was performed using DNA from standard RNA<br />

and several other bacteria as templates to examine its<br />

specificity; the result of this analysis showed that, none of<br />

the bacteria yielded any amplification signal, suggesting<br />

that the established FQ-PCR assay was highly specific<br />

(data no shown).<br />

Dynamic changes in FAS gene expression in<br />

adipocyte<br />

The dynamic changes in FAS gene expression in adipocytes<br />

after glucose was added at various concentrations<br />

to the culture medium were intermittently determined over<br />

a 32 h period by FQ-PCR. The study results revealed<br />

that, the copy numbers of FAS of samples peaked at 2 h<br />

when the glucose concentration was 0, 0.25 and 0.5%,<br />

they were 4.05 ± 0.86, 4.84 ± 0.62, 5.75 ± 0.88 (log<br />

copies/µl), respectively. The glucose concentration of the<br />

high group substantially augmented the mRNA<br />

expression of FAS (P < 0.01) (Figure 2).<br />

DISCUSSION<br />

FQ-PCR has become a potentially powerful alternative<br />

for quantifying mRNA expression because it is simpler,<br />

more rapid, more reproducible and more sensitive than<br />

other methods (Shimazu et al., 2009; Brym et al., 2007;<br />

Calikoglu et al., 2006). In this study, the applicability of<br />

FQ-PCR for the quantification of FAS mRNA expression


3976 Afr. J. Biotechnol.<br />

Figure 2. Dynamic changes in FAS gene expression in adipocytes with different glucose concentration in different<br />

time.<br />

was clearly established by showing that, it has remarkable<br />

sensitivity and high-throughput potential, which are<br />

beyond the scope of other assay methods.<br />

FAS catalyze the last step in the fatty acid biosynthesis<br />

and thus, it is believed to be a major determinant to<br />

generate fatty acids by de novo lipogenesis (Dorn et al.,<br />

2010). It is clear that some genes would show an<br />

increase or decrease in response to glucose. The aim of<br />

this study was to analyze the expression of FAS, which is<br />

a central enzyme of lipogenesis with a different glucose<br />

level. This study revealed a significant correlation of FAS<br />

expression with the high degree of glucose in primary pig<br />

preadipocytes in vitro. Surprisingly, the copy numbers of<br />

FAS peaked at 2 to 8 h at various concentrations of<br />

glucose. At 0.5% concentration, glucose significantly augmented<br />

the mRNA expression of FAS (P < 0.01) when<br />

compared with 0.25 and 0% concentrations. These<br />

results finding is just an initiation of FAS in obesity to be<br />

elucidated. Further studies are required to unravel the<br />

relationship between nutrient and hormone and other<br />

gene such as hormone-sensitive lipase.<br />

Conclusion<br />

In conclusion, the study results confirm the association<br />

between different glucose levels and FAS expression in<br />

preadipocytes. At 0.5% concentrations, glucose significantly<br />

augmented the mRNA expression of FAS (P <<br />

0.01) rather than at concentrations of 0.25 and 0%. However,<br />

further research is needed to validate this conclusion.<br />

ACKNOWLEDGEMENTS<br />

This study was supported by The Chongqing Natural<br />

Science Funds (No. 2008BA1013); The Chongqing<br />

Natural Science Funds (No. 2009BA1078).<br />

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Brym P, Malewski T, Starzyński R, Flisikowski K, Wójcik E, Ruść A,<br />

Zwierzchowski L, Kamiński S (2007). Effect of new SNP within bovine<br />

prolactin gene enhancer region on expression in the pituitary gland.<br />

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Marie EM, Chad JC, Peng L, Xuanyi Z, Matthew KT, Diana MS (2010).<br />

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Prostate Cancers Is Associated with Sex Steroid Hormone Receptor<br />

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African Journal of Biotechnology Vol. 10(20), pp. 3978-3985, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2334<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Characterization of a chestnut FLORICAULA/LEAFY<br />

homologous gene<br />

Tao Liu 1 *, Yun-qian Hu 2 and Xiao-xian Li 2<br />

1 Faculty of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.<br />

2 Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, Yunnan, 650204, China.<br />

Accepted 24 March, 2011<br />

The FLORICAULA/LEAFY (FLO/LFY) homologues’ genes are necessary for normal flower development<br />

and play a key role in diverse angiosperm species. In this paper, an orthologue of FLORICAULA/LEAFY,<br />

CmLFY (chestnut FLO/LFY), was isolated from the inflorescence of chestnut trees. Its expression was<br />

detected in various tissues. Furthermore, the flowering effectiveness of the gene was assessed with<br />

transgenic Arabidopsis. CmLFY protein showed a high degree of similarity to PEAFLO (78%), which is a<br />

homologue of FLO/LFY from pea. RT-PCR analysis showed that, CmLFY expressed at high levels in<br />

inflorescences, but not in young leaves, fruits or stems. The transgenic Arabidopsis with<br />

over-expressed CmLFY showed accelerated flowering, which supports that CmLFY encodes a functional<br />

orthologue of the FLORICAULA/LEAFY genes of angiosperms despite its sequence divergence. These<br />

results suggest that CmLFY is involved in inflorescence development in chestnut.<br />

Key words: Chestnut, homologue, FLORICAULA/LEAFY.<br />

INTRODUCTION<br />

Two developmental programmes can be distinguished<br />

during the life cycle of flowering plants. During the initial<br />

vegetative phase, the apical meristem produces leaves<br />

and lateral shoot. After floral induction, the plant enters<br />

into a reproductive phase and the apical meristem chan-<br />

ges its developmental pattern and initiates the production<br />

of flowers. In Antirrhinum and Arabidopsis this transition<br />

from vegetative to reproductive development pattern<br />

requires the establishment of floral meristem identity in<br />

the lateral meristems of the inflorescence, a process<br />

which has been demonstrated to be controlled by the<br />

homo- logous genes FLORICAULA (FLO) and LEAFY<br />

(LFY), respectively (Ma, 1998; Pidkowich et al., 1999).<br />

LFY is a transcriptional regulation gene thought to play a<br />

primary role in determining flower meristem identity.<br />

FLORICAULA (FLO), a LFY homologue in snapdragon,<br />

has been shown to have almost the same role. Loss func-<br />

* Corresponding author. E-mail: beixue2007@gmail.com. Tel:<br />

+86-871 5227721.<br />

Abbreviations: PCR, Polymerase chain reaction; RT-PCR,<br />

reverse transcriptase-PCR; RACE, rapid amplified cDNA ends.<br />

tion mutants of these genes result in the conversion of<br />

flowers into indeterminate secondary shoots (Coen et al.,<br />

1990; Weigel et al., 1992). The over-expression of LFY<br />

under a constitutive promoter in Arabidopsis caused early<br />

flowering and converted all lateral shoots into solitary<br />

flowers. In heterologous plants such as aspen, LFY has<br />

been shown to have effects on the acceleration of flower-<br />

ing and induction of ectopic flowers (Weigel and Nilsson,<br />

1995; Rottman et al., 2000), suggesting a conservation of<br />

LFY function across long phylogenetic distances within<br />

angiosperms. These reports strongly suggest that, the<br />

ability to control the expression of LFY or of its orthologs<br />

from other plants, could make it possible to artificially<br />

induce various plants to blossom and even skip or shorten<br />

the juvenile phase of woody plants.<br />

Flowering is an essential stage for fruit production and<br />

thus, an understanding of the genetic mechanisms under-<br />

lying the flowering event is important for efficient fruit<br />

production. During the last decade, molecular mecha-<br />

nisms of flowering have been studied extensively in<br />

herbaceous ‘‘model’’ plants such as Arabidopsis and<br />

Antirrhinum. In contrast, studies on the molecular<br />

mechanisms of flowering in fruit trees have just begun.<br />

Although, several flowering-related FLO/LFY orthologs<br />

have been cloned from kiwifruit (Actinidia deliciosa)


(Walton et al., 2001), grapevine (Vitis vinifera) (Carmona<br />

et al., 2002), and apple (Malus domestica) (Kotoda et al.,<br />

2002), their specific role in the induction of the<br />

characteristic features of tree reproductive development is<br />

still being elucidated.<br />

Trees are characterized by an extended adolescence.<br />

This is particularly important for commercial fruit/nut tree<br />

growers and breeders, because prolonged juvenile<br />

periods delay harvesting and the evaluation/breeding of<br />

new strains. Chestnut (Castanea mollissima) is one of the<br />

most commercially valuable fruit trees, with production<br />

once only annually. Chestnut has an extended juvenile-<br />

vegetative phase, during which vegetative growth is<br />

maintained. Attempts to exploit existing knowledge of the<br />

genetic control of flower development in Arabidopsis to<br />

engineer nut trees could have significant economic and<br />

scientific implications for the tree fruit industry. As yet, no<br />

studies have reported on the molecular mechanism<br />

underlying the development of chestnut flowers. Recently,<br />

MADS-box genes have been cloned and characterized in<br />

chestnut by us (Liu et al., 2006). Our results suggest that<br />

these chestnut MADS genes may be involved in floral<br />

organ and fruit development in chestnut. In this paper, we<br />

identified a chestnut FLORICAULA/LEAFY homologous<br />

gene involved in floral development. We described the<br />

isolation and characterization of CmLFY (DQ270548).<br />

The function of CmLFY was demonstrated by transgenic<br />

Arabidopsis, as expected for normal plants, transgenic<br />

plants showed earlier flowering phenotype, indicating that<br />

CmLFY may play a similar role of promoting flowering as<br />

the FLORICAULA/LEAFY genes in flower development.<br />

MATERIALS AND METHODS<br />

Plant materials<br />

The chestnut and Arabidopsis ecotype Columbia (Col) were used in<br />

this study. Chestnut examples were collected from Kunming,<br />

Yunnan, People’s Republic of China and were frozen in liquid<br />

nitrogen immediately and stored at -80°C.<br />

RNA extraction and cDNA cloning<br />

Total RNA was extracted from the inflorescences using a modified<br />

CTAB method (Zeng and Yang, 2002). The cDNA was prepared<br />

using Smart cDNA library construction kit (BD Biosciences Clontech,<br />

American). Full-length CmLFY cDNA was obtained by the 5 and 3<br />

rapid amplified cDNA ends (RACE) method (Chenchik et al., 1996).<br />

The first amplified chestnut cDNA contained about 440 bp between<br />

primers CmS and CmA, designed from Arabidopsis thaliana LFY<br />

(Weigel et al., 1992) and Antirrhinum majus FLO (Coen et al., 1990)<br />

cDNA sequences. The 3 RACE was carried out between cassette<br />

CDSIII/3’ primer and CmS2 primer. The DNA fragment amplified<br />

was cloned into PMD18-T vector (Takara, Japan). The 5 RACE was<br />

carried out between cassette CDSIII/5’ primer and CmA2 primer.<br />

Full-length cDNAs were amplified with the sense primer LFY-ORF5<br />

and antisense primer CDSIII/3’ primer. These clones were sequenced<br />

completely by the dideoxy method using ABI3730 automated<br />

sequencer (ABI Company, USA).<br />

Phylogenetic comparisons<br />

Liu et al. 3979<br />

Protein sequences of different LFY homologs were retrieved from<br />

GenBank and aligned with CLUSTAL. Phylogenetic relationships<br />

among these genes were inferred by NJ analysis (MEGA Ver.3.1).<br />

Plant transformation<br />

The full length CmLFY (including start codon ATG) was amplified<br />

between LFY-ORF5 and LFY-ORF3 (Figure 1). Then, the amplified<br />

cDNA was blunted and KpnI and SalI linkers were ligated both ends,<br />

cloned into a pCambia2301-101 binary vector in a sense-oriented<br />

manner under the CaMV 35S promoter. An Agrobacterium<br />

tumifaciens GV3101 strain (Van-Larebeke et al., 1974) was used for<br />

the transformation of the A. thaliana Columbia ecotype by the<br />

floral-dip method (Clough and Bent, 1998). For the selection of<br />

transformed plants, resultant seeds were planted on a 1/2MS culture<br />

medium containing kanamycin (50 g mL --1 ) as selective antibiotics<br />

and then, transferred to 22°C under LD conditions (16 h light, 8 h<br />

dark). Transformants were identified as kanamycin-resistant when<br />

seedlings in the medium produced green leaves and well-<br />

established roots. Resistant transformants were transplanted to<br />

moistened potting soil composed of vermiculite and perlite (1:1<br />

(v/v --1 )) after two to four adult leaves had developed and their flower<br />

phenotypes were observed under long-day conditions.<br />

RNA analysis of transgenic plants by RT-PCR<br />

Detection of CmLFY transcripts was performed by RT-PCR. RNA<br />

was isolated from whole plants of Arabidopsis by a method using<br />

CTAB described previously described. CmLFY specific transcripts<br />

were identified using 1 g of total RNA as a template and the<br />

following primers: a sense primer LFY-ORF5 and an antisense<br />

primer LFY-ORF3 for CmLFY (Table 1), giving rise to about 1300 bp<br />

long PCR product. PCR reactions were run for 35 cycles at 58°C for<br />

CmLFY. The PCR products were run on 1.5% (w/v --1 ) agarose gels<br />

stained with ethidium bromide.<br />

RESULTS<br />

Cloning and sequence analyses of CmLFY<br />

A comparison of Arabidopsis LFY (Weigel et al., 1992)<br />

and Antirrhinum FLO (Coen et al., 1990) showed the<br />

presence of several conserved regions. Two of these<br />

regions, CmS and CmA, were used to design degenerate<br />

oligo- nucleotide primers for RT-PCR. Using these<br />

primers with cDNA prepared from an inflorescence of<br />

chestnut, we obtained a PCR amplified fragment<br />

containing both primers and other conserved sequences.<br />

This fragment was named CmLFY (chestnut<br />

FLORICAULA/LEAFY homologue). To obtain a full-length<br />

CmLFY cDNA, several primers for 5’/3’ RACE were<br />

designed. Primer sites and the nucleotide sequences of<br />

primers used for cloning were shown in Figure 1 and<br />

Table 1, respectively.<br />

The coding region of CmLFY is 1,161 bp, encoding<br />

386 amino acids. The deduced amino acid sequence of<br />

CmLFY cDNA has 78% homology with PEAFLO, 79%<br />

with PtFL and 59.9% with PlaraLFY. NLF, PRFLL, PEAFLO,


3980 Afr. J. Biotechnol.<br />

Table 1. Primer sequences used in PCR cloning of CmLFY.<br />

Primer Oligonucleotide<br />

Primers for an internal fragment<br />

CmS sense primer<br />

CmA antisense primer<br />

Cassette primers<br />

CDSIII/5’ primer<br />

CDSIII/3’ primer<br />

3’ RACE primer<br />

CmS2 primer<br />

5’ RACE primer<br />

CmA2 primer<br />

CmLFY specific primers<br />

LFY-ORF5<br />

LFY-ORF3<br />

5’- GGGAGCACCCGTTCATTGTGACTG -3’<br />

5’-GA/CAGCTTG/TGTG/TGGGACATACCAGAC-3’<br />

5’-AAGCAGTGGTATCAACGCAGAGT-3’<br />

5’-ATTCTAGAGGCCGAGGCGGCCGACATG-3’<br />

5’-CGGCCTTGATTACCTCTTCCATCTC -3’<br />

5’- CACCGCGCTCCTTGGCAATGTTCTGT -3’<br />

5’-GGTACCAAGCTAGCTTCATTGATG -3’<br />

5’-CGGTCGACTAGAAATGCAAATTTTTCTC-3’<br />

Figure 1. Nucleotide and deduced amino sequences (single-letter code) of CmLFY cDNA. The asterisk (*) indicates a stop<br />

codon. Arrows above the sequences indicate the primers used for RACE-PCR.<br />

ELF1 and CmLFY lacked a proline-rich region in<br />

the variable region (roughly the first 40 amino acids). To<br />

more closely determine the evolutionary relationship<br />

between FLO/LFY-like proteins, a phylogenetic tree was<br />

con- structed (Figure 2b). This tree showed that, the<br />

topology of these genes seems to be concordant with the<br />

topology of the species phylogeny and suggests that<br />

CmLFY is an angiosperm ortholog of FLO/LFY-like genes.


a<br />

Liu et al. 3981


3982 Afr. J. Biotechnol.<br />

b<br />

Expression patterns of CmLFY<br />

Figure 2. (a) Sequence comparison of FLO/LFY-like proteins (accession numbers in<br />

parentheses): NLY and PRFLL from P. radiata (U76757 and U92008, respectively); CmLFY<br />

from chestnut (DQ270548); BOFH from B. oleracea (Z18362); FLO from A. majus (M55525);<br />

LFY from A. thaliana (M91208); NFL1 and NFL2 from N. tabacum (U16172 and U16174,<br />

respectively); ALF from P. hvbrida (AF030171); PtFL from P. balsamifera (U93196); RFL from<br />

O. sativa (AB005620); TOFL from L.esculentum (AF197934); PEAFLO from P. sativum<br />

(AF010190); ClLFY from C. glaziovii (AY633622); ELF1 from Eucalyptus globules (AF034806);<br />

JunefLFY from J. effusus (AF160481) and PlaraLFY from P. hispanica (AF106842). Black<br />

boxes indicate identical amino acids, shaded boxes indicate amino acids with similar<br />

properties, and dots indicate gaps introduced to optimize alignment. c1 and c2, conserved<br />

regions; v1 and v2, variable regions; (b) Protein sequence comparisons of CmLFY to other<br />

LFY/FLO homologs. The deduced amino acid sequence of CmLFY was compared with some<br />

published LFY homologs. Box characters represent chestnut protein.<br />

CmLFY mRNA expression was analyzed in various<br />

tissues by RT-PCR. Total RNA was isolated and PCR<br />

primers specific to CmLFY were used to detect the<br />

expression patterns in several tissues. The result showed<br />

that CmLFY mRNA was expressed in inflorescence<br />

tissues, but not in young leaves, fruits and stems (Figure<br />

3). The RT-PCR of CmLFY -specific primers resulted in<br />

amplification of a single band. Increasing the PCR cycle<br />

did not change these expression patterns. The amplified<br />

DNA fragments were the expected length.<br />

Ectopic expression in Arabidopsis<br />

To further verify the function of CmLFY, we constructed a<br />

binary vector pCambia2301-101-CmLFY containing full-<br />

length CmLFY coding area inserted in the sense-oriented<br />

direction under the control of the Cauliflower 35S<br />

promoter. The pCambia2301-101-CmLFY was introduced<br />

into wild- type Arabidopsis plants by<br />

Agrobacterium-mediated transformation. Fourteen<br />

independent transgenic plants that survived on kanamycin<br />

were identified (Table 2). Five (lines one-five) of them<br />

flowered earlier than the wild-type plants by five-seven


Figure 3. Expression pattern of CmLFY gene revealed by RT-PCR<br />

analysis. Lane 1: inflorescences; Lane 2: stem; Lane 3: tender leaves with<br />

no flowers; Lane 4: tender leaves with flowers; Lane 5: fruit. rRNA is used<br />

as RNA standard. Amplification of CmLFY was performed for 30 cycles.<br />

Table 2. Comparison of flowering time, number of rosette leaves in T1 transgenic and wild-type Arabidopsis (Col)<br />

plants in LD conditions.<br />

Transgenic line Days to flowering a Rosette leaves at time of flowering b Note<br />

1 18 4 Early flowering<br />

2 16 3 Early flowering<br />

3 18 4 Early flowering<br />

4 20 5 Early flowering<br />

5 20 4 Early flowering<br />

6 24 7<br />

7 24 8<br />

8 25 9<br />

9 22 8<br />

10 24 8<br />

11 25 8<br />

12 26 9<br />

13 26 10<br />

14 25 8<br />

wt c 25.5 d 9.5 d (n=10) e<br />

v-wt f 26 d 9.5 d (n=8) e<br />

a Days to flowering is defined as the time when flower primordial were first visible to the naked eye; b rosette leaves were<br />

counted on the day that flower primordial were first visible; c w wild-type Arabidopsis Columbia plants; d Mean number; e<br />

Number of plants;<br />

f vector-transformed plants.<br />

days and produced only four to five rosette leaves when<br />

they flowered (Figure 4 and Table 2). Most of the T1<br />

transgenic plants could self-pollinate and grow siliques<br />

normally and the resultant seeds also had the ability to<br />

germinate except for the lines 1, which is so small that it<br />

was difficult to obtain its seeds. The early flowering were<br />

inherited in the next generation and co- segregated with<br />

the kanamycin-resistant genes. The expression of the<br />

CmLFY mRNA in T1 plants was confirmed by RT-PCR, all<br />

putative transformed lines showed the expected products<br />

of CmLFY. No amplifi- cation was observed for the cDNA<br />

prepared from non-transformed Arabidopsis plants and<br />

vector-trans- formed Arabidopsis plants. The transgenic<br />

plants are stably transformed and the siblings which<br />

segregate without the transgene had no amplification of<br />

CmLFY and flowered at the same time as wild-type<br />

plants.<br />

DISCUSSION<br />

Liu et al. 3983<br />

Despite the importance of understanding the regulation of<br />

the flowering process in woody perennials for the<br />

management and improvement of woody species, very<br />

little is known about the underlying molecular<br />

mechanisms. Regulation of flowering in woody perennials<br />

shows remarkable differences in contrast to herbaceous<br />

species, that is, long juvenile phases, bud dormancy and<br />

the alternating vegetative and reproductive development<br />

according to the season.<br />

To investigate the molecular mechanism in chestnut<br />

flowering, we cloned CmLFY, a putative homologue<br />

of Arabidopsis LFY. A comparison (Figure 2a) of amino<br />

acid sequences with Arabidopsis LFY (Weigel et al.,<br />

1992), Antirrhinum FLO (Coen et al., 1990) and other<br />

FLO/LFY homologs (Brassica oleracea. BOFH.


3984 Afr. J. Biotechnol.<br />

Figure 4. Transgenic and wild-type Arabidopsis plants grown under LD<br />

photoperiods for 20 days. Arabidopsis plants were grown in one-half strength of<br />

medium for 9 days and transferred to potting soil. (a) wild-type Arabidopsis<br />

Columbia. (b) Transgenic Arabidopsis carrying a 35S::CmLFY gene.<br />

Anthony et al., 1993; Nicotiana tabacum. NFL. Kelly et al.,<br />

1995; Oraza sativa. RFL. Kyozuka et al., 1998; Pinus<br />

radiata. NLY. Mouradov et al., 1998 ; Petunia hybrida. ALF.<br />

Souer et al., 1998; Eucalyptus globulus, ELF1, Southerton<br />

et al., 1998 ; Lycopersicon esculentum. TOFL.<br />

Molinero-Rosales et al., 1999; Juncus effusus. JunefLFY.<br />

Frohlich and Parker., 2000; Platanus hispanica. PlaraLFY.<br />

Frohlich and Parker., 2000; Populus balsamifera. PTFL.<br />

Rottmann et al., 2000; Cedrela glaziovii. ClLFY. Marcelo<br />

and Adriana, 2006) showed the presence of conserved<br />

regions including two large conserved regions (c1 and c2)<br />

and two shorter regions of lower similarity (variable<br />

regions v1 and v2). These domains are typical markers for<br />

transcriptional acti- vators and may be functionally<br />

important for FLO/LFY-like proteins (Weigel et al., 1992;<br />

Coen et al., 1990). The phylogenetic tree showed that the<br />

topology of these genes seems to be concordant with the<br />

topology of the species phylogeny and suggests that<br />

CmLFY is an angiosperm ortholog of FLO/LFY-like genes<br />

(Figure 2b).<br />

The expression of CmLFY was only found in<br />

inflorescences, but not in tissues such as fruits, stems and<br />

tender leaves (Figure 3). It supports that the CmLFY is a<br />

functional homologous gene of chestnut. In the species<br />

such as apple, kiwifruit and grape, the expression levels<br />

of their FLO/LFY homologs increase in the proliferating<br />

inflorescence meristems generating inflorescence<br />

branches, with the highest levels detected in young floral<br />

meristems (Walton et al., 2001; Carmona et al., 2002).<br />

Therefore, the high levels of CmLFY expression in inflo-<br />

rescence suggests that CmLFY plays a role during chest-<br />

nut reproductive development as it has been suggested<br />

for most FLO/LFY-like genes studied.<br />

To further demonstrate the function of CmLFY, we<br />

have produced transgenic Arabidopsis plants expressing<br />

CmLFY. They flowered earlier and had a shorter<br />

inflorescence and reduced number of rosette leaves<br />

compared with the controls (Figure 3). Based on the result<br />

that several transgenic Arabidopsis with 35S::CmLFY<br />

flowered earlier than the controls, the expression of<br />

CmLFY should have some relationship with the early<br />

flowering phenotypes, although, the mechanism of<br />

flower-bud formation in chestnut might be different from<br />

that in Arabidopsis. Of course, to be more certain that the<br />

CmLFY gene functions similarly to LFY, LFY mutant-<br />

rescue experiments will be required. The CmLFY gene<br />

was not expressed strongly in transformants showing<br />

early flowering relative to those that were wild type in<br />

appearance, which suggests that the severity of pheno-<br />

type in transformants does not depend solely on the level<br />

of gene expression in this case, although the exact cause<br />

is still unknown. Some reports are available that describe<br />

transgenic Arabidopsis plants expressing LFY homologs<br />

from other plant species. For example, Arabidopsis<br />

transgenic lines expressing NEEDLY from Radiata pine<br />

and ELF1 from Eucalyptus showed early flowering<br />

(Mouradov et al., 1998; Southerton et al., 1998). Until now,<br />

however, our ability to manipulate fruit/nut tree strains<br />

through genetics has been limited by the extended<br />

maturation period of these plants. Both taking long time to<br />

flowering and the fact that, no characterized flowering<br />

mutants have been described in this genus make genetic<br />

studies in chestnut more difficult. Nevertheless, advances<br />

in the establishment of transformation protocols for


chestnut may allow us to use reverse genetic approaches<br />

and to define more clearly the role played by CmLFY in<br />

the reproductive development.<br />

The breeding of fruit trees of chestnut often requires<br />

more than 20 years, including periods of cross pollination,<br />

seedling selection and regional trials, to produce varieties<br />

that meet the demands of consumers. One of the limit<br />

factors of chestnut breeding is the long juvenile phase of<br />

at last several years. It had been found that transgenic<br />

approaches of LFY introducing could reduce the juvenile<br />

phase of Populus and the transgenic poplar flowered in 5<br />

months after regeneration (Weigel and Nilsson, 1995).<br />

Therefore, probably we can anticipate that these techni-<br />

ques are likely applicable to fruit trees of chestnut in future<br />

years and believed that, the transgenic approach would<br />

be a useful breeding strategy for reducing the time<br />

required for generation among woody plants. However,<br />

the efficiency of producing early flowering transgenic lines<br />

with Arabidopsis LFY gene seems to be low in woody<br />

plants in some case (Pena et al., 2001). This suggests<br />

that regulatory genes such as LFY do not always function<br />

beyond species as well as expected. Since environmental<br />

and genetic factors controlling flower development in<br />

chestnut have not been made clear so far, the CmLFY<br />

gene could at least, be one of the tools available for<br />

studying the mechanism of flower development in tree<br />

fruits such as the chestnut.<br />

ACKNOWLEDGMENTS<br />

This research was financially supported by the Faculty of<br />

Agronomy and Biotechnology (SJCX09012 to T Liu) and<br />

the National Natural Science Foundation of China (NSFC,<br />

30800062 to XX Li).<br />

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(1999). FALSIFLORA, the tomato orthologue of FLORICAULA and<br />

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417a-417e.


African Journal of Biotechnology Vol. 10(20), pp. 3986-3995, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.053<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Overexpression of a foxtail millet Acetyl-CoA<br />

carboxylase gene in maize increases sethoxydim<br />

resistance and oil content<br />

Zhigang Dong 1,2# Huji Zhao 1# Junguang He 1 , Junling Huai 1 , Heng Lin 1 , Jun Zheng 3 , Yunjun<br />

Liu 3 and Guoying Wang 1,3*<br />

1 State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing 100193, China.<br />

2 Pomology Research Institute, Shanxi Academy of Agricultural Sciences, Taigu 030815, China.<br />

3 Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.<br />

Accepted 11 April, 2011<br />

Acetyl-coenzyme A carboxylase (ACCase) plays a crucial role in fatty acid metabolism in plants,<br />

catalyzing the carboxylation of acetyl-CoA to produce malonyl-CoA. In grasses, the plastids ACCases<br />

are critical determinants of plant sensitivity to herbicide classes cyclohexanediones (CHDs) and<br />

aryloxyphenoxy propionates (APPs). We transformed the full-length cDNA of a plastid ACCase gene<br />

from foxtail millet (Setaria italica) line Chum BC6-1, which is highly resistant to sethoxydim, into maize<br />

(Zea mays L.) drived by a ubiquitin promoter. The substantial results indicated that the sethoxydim<br />

resistance of transgenic plants is increased, with a damage index of 33%, much lower than that of 97%<br />

in the untransformed plants. Additionally, the oil content of transgenic maize seeds was 24 to 65%<br />

higher than that of untransformed seeds. These results indicate that the ACCase transgenic plants can<br />

be used to develop new maize hybrids that are tolerant to herbicide CHDs with high oil content.<br />

Key words: Zea mays, Acetyl-coenzyme A carboxylase (ACCase), oil content, transgenic plants,<br />

Agrobacterium tumefaciens<br />

INTRODUCTION<br />

Acetyl-coenzyme A carboxylase (ACCase) was first<br />

discovered nearly 50 years ago and has been studied<br />

extensively over the years (Wakil et al., 1983). Two forms<br />

of ACCase exist in plants. One is located in the plastids,<br />

the primary sites of plant fatty acid synthesis. This form is<br />

a “prokaryotic-type” multi-subunit enzyme and the other<br />

form, usually located in the cytoplasm, is a “eukaryotictype”<br />

multifunctional enzyme. In the grass family (including<br />

wheat, rice and maize), however, the “eukaryotic-type” is<br />

located in both the cytosol and plastids “(Alban et al.,<br />

1994; Konishi and Sasaki, 1994; Gornicki et al., 1997;<br />

*Corresponding author. E-mail: gywang@caas.net.cn.<br />

Abbreviations: ACCase, Acetyl-CoA carboxylase; CHDs,<br />

cyclohexanediones; APPs, aryloxyphenoxy propionates; HR,<br />

high resistance; HS, high sensitivity.<br />

#These authors contributed equally.<br />

Zhao et al., 2004; Tong L, 2005).<br />

Plant ACCases have attracted particular attention<br />

because the grass plastid ACCase is the active site of<br />

three chemically distinct classes of herbicides,<br />

aryloxyphenoxypropionates (APPs, also known as<br />

FOPs), cyclohexanediones (CHDs, also known as DIMs)<br />

and phenylpyrazolin. These classes of compounds<br />

reduce ACCase activity in meristematic tissue and kill<br />

sensitive plants by inhibiting their fatty acid biosynthesis.<br />

It has been reported that, grass ACCase in plastids is<br />

sensitive to these herbicides, but dicot and nongraminaceous<br />

monocot ACCases exhibit less sensitivity<br />

(Herbert et al., 1997; Christoffers et al., 2002). When<br />

these herbicides are used to kill weed grasses, they also<br />

kill the crop grasses, thus, greatly limiting their<br />

application. An alternative approach would be to produce<br />

grass crops highly tolerant to these herbicides.<br />

There are some reports indicating that the sensitive<br />

form of the enzyme has an Ile residue, while the resistant<br />

form has a Leu residue at the putative herbicide-binding


site (Zagnitko et al., 2001). Additionally, a single Ile to<br />

Leu replacement at an equivalent position changes the<br />

wheat plastid ACCase from sensitive to resistant<br />

(Zagnitko et al., 2001). Furthermore, the cDNA (foxACC-<br />

R gene) of the foxtail millet (Setaria italica) line Chum<br />

BC6-1, which has been reported to show high resistance<br />

to sethoxydim, has the same Leu reside in this position<br />

compared with an Ile residue in sensitive lines (Wang T<br />

et al., 1997; Zhao et al., 2004).<br />

In this study, we transformed the foxACC-R gene into<br />

the maize inbred line Zong 3 using Agrobacterium<br />

tumefaciens mediated transformation (Zhang et al.,<br />

2001). Southern blot assay, RT-PCR detection and the<br />

test of sethoxydim tolerance on transgenic plants indicated<br />

that the foxACC-R gene was stably integrated into<br />

the maize genome; also, all these plants with the higher<br />

oil contents. Our objective was to develop maize lines<br />

that were highly resistant to sethoxydim; therefore, these<br />

transgenic lines can be incorporated into maize breeding<br />

programs in the future.<br />

MATERIALS AND METHODS<br />

Plasmid construction<br />

The binary vector pCAMBIA3301 (Center for the Application of<br />

Molecular Biology to International Agriculture, Canberra, ACT,<br />

Australia) was used as a backbone for the construction of a plant<br />

expression vector. The bar gene, 35S promoter and GUS reporter<br />

gene were replaced by the foxACC-R (AY219175) driven by the<br />

ubiquitin promoter from maize to construct a marker-free p3301-<br />

ACCase vector (Figure 1).<br />

Maize transformation<br />

The approach used to generate transgenic maize plants was<br />

adapted from that described by Yang et al., 2001 and Zhang et al.,<br />

2001 The size of immature embryos are 1.0 to 2.0 mm, embryos<br />

were isolated from the maize inbred line Zong 3 and put into liquid<br />

infection medium (D basal medium (Duncan et al.,1985), 68.5 gl –1<br />

Suc, 36.0 gl –1 Glc, 100 µM AS (Sigma), pH 5.2) in 2-ml Eppendorf<br />

tubes (20 to 100 embryos per tube). Then, they were washed twice<br />

with this medium. The final wash was removed and 1.5 ml of A.<br />

tumefaciens suspension was added. The tubes were gently<br />

inverted 20 times and then, rested upright for five minutes with the<br />

embryos submerged. After infection, the embryos were transferred<br />

to the surface of co-cultivation medium (D basal medium, 20 gl –1<br />

Suc, 10 gl –1 Glc, 0.85 mgl –1 silver nitrate, 100 µM AS, 8 gl –1 agar, pH<br />

5.8). The embryos were incubated in the dark for three days at<br />

25°C, after which they were transferred to resting medium (D basal<br />

medium, 20 gl –1 Suc, 10 gl –1 Glc, 0.85 mgl –1 silver nitrate, 250 mgl –1<br />

cefotaxime, 8 gl –1 agar, pH 5.8) for seven days. Then, the embryos<br />

were moved to selection medium which was identical to resting<br />

medium with the addition of 5 µM sethoxydim and maintained for<br />

two weeks in the dark at 25°C. The concentration of sethoxydim<br />

was then increased to 10 µM for another three successive<br />

selections. Sethoxydim-resistant calli were placed on MS medium<br />

for regeneration. The shoots of 2 to 3 cm in height were moved to<br />

1/2 MS rooting medium (Murashige and Skoog, 1962). Calli for<br />

regeneration and regenerated plantlets were grown in a growth<br />

chamber at 28°C under fluorescent white light in 16:8 h light: dark<br />

cycle.<br />

PCR analysis of transgenic maize plants<br />

Dong et al. 3987<br />

Genomic DNA was isolated from leaves of transgenic maize and<br />

untransformed plants by the SDS method for PCR analysis (Sabelli<br />

and Shewry, 1995). Primers for the ACCase gene (ACCase-S 5’-<br />

CAATGTGTATGCTACATGTTTTTGT-3’ and ACCase-A 5’-<br />

ACCCCTGCAAAACCAGA-3’) were used for PCR analysis, it is<br />

specific for foxtail millet and there was no corresponding band in<br />

the maize genome (Zhao et al., 2004). The PCR products<br />

were subjected to 0.8% agarose gel electrophoresis and stained by<br />

EtBr to visualize the expected band.<br />

Southern blotting<br />

Southern blot analysis was carried out by standard procedures as<br />

described by Sambrook and Russell (2001). DNA samples isolated<br />

from maize leaves of transgenic and untransformed plants were<br />

purified, concentrated and quantified. About 50 µg of genomic DNA<br />

was digested with 40 U of EcoRI (Promega) at 37°C overnight. The<br />

digested DNA was separated by electrophoresis on a 0.8% agarose<br />

gel and blotted on Hybond- N+ nylon membrane (Amersham<br />

Pharmacia) in 0.4 mol/l NaOH. The probe (ACCase-S 5’-<br />

CAATGTGTATGCTACATGTTTTTGT-3’ and ACCase-A 5’-<br />

ACCCCTGCAAAACCAGA-3’) was random -primed labeled with ( -<br />

32P) dCTP. Southern hybridization was carried out overnight at<br />

42°C. The hybridized filters were washed in 2 × SSC with 0.5%<br />

SDS at 42°C for 30 min, twice in 1×SSC with 0.1% SDS at 65°C for<br />

30 min and twice in 2×SSC at 65°C for 10 min then exposed to xray<br />

film (Fuji) at -70°C.<br />

Semi-quantitative RT-PCR analysis of transgenic maize plants<br />

Total RNA of the transgenic and untransformed plants was<br />

extracted according to the Trizol reagent (Invitrogen) protocol. All<br />

preparations of total RNA were evaluated by denatured agaroseglyoxal<br />

gel electrophoresis. First-strand cDNAs were synthesized<br />

using ImProm-II TM reverse transcriptase (Promega) and the<br />

ACCase transcript was amplified using foxtail millet ACCase gene<br />

primers (ACCase-S 5’- CAATGTGTATGCTACATGTTTTTGT-3’<br />

and ACCase-A 5’- ACCCCTGCAAAACCAGA-3’). At the same time,<br />

maize tubulin cDNA (Tubulin-S 5’-<br />

GCTATCCTGTGATCTGCCCTGA-3’ and Tubulin-A 5’-<br />

CGCCAAACTTAATAACCCAGTA-3’) was also amplified as a<br />

control.<br />

Determination of oil content in transgenic maize seeds<br />

For the oil content measurements, the transgenic and<br />

untransformed plants were grown in the same environment and<br />

harvested at the same time. Using a near infrared reflectance<br />

spectroscopy (NIRS) instrument (BRUKER, VECTOR22/N), 20<br />

intact seeds in a revolving sample with a diameter of 50 mm were<br />

scanned 64 times at a wavelength region of 80 to 240 nm to<br />

calculate the average spectrum. In order to eliminate the influence<br />

of seed size and seed uniformity on the spectrum, each sample<br />

was replicated three times. Means for transgenic and<br />

untransformed plants were compared by using the two-sample ttest<br />

at the 5% confidence level as detected by LSD tests. The T0<br />

plants of PCR positive were self-pollinated to produce T1 seeds,<br />

and T1, T2 plants that were highly resistant to sethoxydim were selfpollinated<br />

to produce T3 seeds.<br />

Sethoxydim spraying test<br />

On a sunny day (>25°C), six-leaf stage T1 plants were painted with


3988 Afr. J. Biotechnol.<br />

Figure 1. Structure of the expression vector p3301-ACCase. ACCase. The ubiqutin promoter was fused<br />

with the foxACC-R R gene. Horizontal lines represent short pieces of polylinker DNA that connects<br />

the gene elements. The plasmid vector pCAMBIA3301 was as the backbone, and for the future<br />

application, ation, the bar gene, the 35S promoter and GUS reporter gene were deleted. Relevant<br />

restriction endonuclease sites are indicated.<br />

a 625 mg/l solution of sethoxydim (12.5%; Nisso, Japan). Four Four- to<br />

six-leaf stage T2 plants were sprayed in the field with a<br />

concentration of 1250 mg/l sethoxydim. The reaction of the plants<br />

to sethoxydim was recorded one week later. The degree of<br />

herbicide damage was evaluated according to the following criteria:<br />

level 0, no obvious chemical ical damage symptoms; level I, leaves<br />

show temporary chemical damage spots or slight growth<br />

suppression; level II, leaves show heavy chemical damage<br />

spots,loss loss of green coloration, shrinkage, abnormal growth or<br />

obvious growth suppression, but normal growth may be restored;<br />

level III, the growing point dies or continued growth is seriously<br />

suppressed; level IV, partial or the complete plant death.<br />

The damage index was s calculated according the following<br />

formula: damage degree index = ( (damage ge level * number)/ total<br />

number * highest level) * 100% (Jiang, 1987). ). The resistance of<br />

maize to the herbicide was divided into five grades according to the<br />

damage degree index: HR (highly resistant) (index 20); R<br />

(resistant) (20


Comparison of oil content of transgenic and wildtype<br />

plants<br />

The oil content of seeds was not determined for T0 plants<br />

of PCR positive lines due to the potential epigenetic<br />

variation generated during plant tissue culture. Starting<br />

from T1 plants, oil content was measured and compared<br />

with control plants. From the results of the comparison of<br />

T1, T2 and T3 generation plants (Table 2; Figure 7), all<br />

positive plants of each line had significantly higher oil<br />

content than controls. Lines 40 and 46 had 54 to 65%<br />

higher oil content than the controls in the T3 generation.<br />

Sethoxydim tolerance assay of transgenic plants<br />

To determine the response of the transgenic plants to<br />

Figure 2. Alignment of the amino acid sequence of<br />

the CT domain of ACCase genes. The isoleucine<br />

/leucine is indicted in bold. ACCase sequences were<br />

obtained from GeneBank, left is the accession no.<br />

The species is listed in Table 1.<br />

Dong et al. 3989<br />

sethoxydim, the fifth leaf of seedlings at the six-leaf stage<br />

was painted with sethoxydim at a concentration of 625<br />

mg/l. Seven days after treatment, the transgenic<br />

seedlings showed normal growth (Figure 8a), while the<br />

untransformed plants wilted, turned brown and died in<br />

two weeks (Figure 8b).<br />

T2 plants were sprayed with 1250 mg/l sethoxydim (the<br />

commercial concentration) in the field. Seven days later,<br />

the transgenic plants all showed normal growth, while the<br />

untransformed plants wilted (Figure 8c, d and e). The<br />

degree of herbicide damage was evaluated for every<br />

plant of the T2 generation (Table 3). The damage index of<br />

lines 40, 46 and 59 was lower than 20% and that of<br />

lines6, 17 and 76 were between 20 and 33% and the<br />

control had a damage index of 97%.<br />

These results showed that the foxACC-R transgenic<br />

plants were more resistant than the control.


3990 Afr. J. Biotechnol.<br />

DISCUSSION<br />

Table 1. The species chosen for the analysis and their accession number.<br />

Accession number Species name Special residue<br />

AF025469 Caenorhabditis elegans L<br />

U39321 Triticum aestivum (bread wheat)-Acc2 L<br />

AF029895 Triticum aestivum (bread wheat)-Acc1 I<br />

U19183 Zea mays I<br />

AY219175 Setaria italica (foxtail millet)-R L<br />

AY219174 Setaria italica (foxtail millet)-S I<br />

AF330145 Toxoplasma gondii L<br />

AF072737 Avena sativa (oat) I<br />

AF359513 Lolium rigidum-S I<br />

AF359514 Lolium rigidum-R L<br />

AJ132890 Bos taurus (cattle) L<br />

NM-198839 Homo sapiens (human)-ACC1 L<br />

NM001093 Homo sapiens (human)-ACC2 L<br />

J03541 Gallus gallus (chicken) L<br />

J03808 Rattus norvegicus (Norway rat) L<br />

L20784 Cyclotella cryptica L<br />

L25042 Medicago sativa L<br />

L42814 Glycine max (soybean) L<br />

M92156 Saccharomyces cerevisiae L<br />

P78820 Schizosaccharomyces pombe L<br />

X77576 Brassica napus (rape) L<br />

X99102 Hordeum vulgare subsp. vulgare L<br />

Y15996 Emericella nidulans L<br />

Z46886 Ustilago maydis L<br />

CM000142 Oryza sativa Japonica I<br />

EU660897 Aegilops tauschii I<br />

EU660891 Aegilops tauschii L<br />

CM000147 Oryza sativa Japonica L<br />

EQ973783 Ricinus communis (castor bean) L<br />

AF062308 Arabidopsis thaliana-ACC1 L<br />

AF062308 Arabidopsis thaliana-ACC2 L<br />

CM000338 Populus trichocarpa L<br />

CM000341 Populus trichocarpa L<br />

In plants, ACCase is a proven target for herbicide action.<br />

Genetic analyses have identified several single mutation<br />

sites in the CT domain that determine the herbicide<br />

resistance (Nikolau et al., 2003). A single-site Ile-to-Leu<br />

mutation at the position equivalent to residue 1705 in<br />

yeast ACC which represents an extremely subtle change<br />

in the side chain of the amino acid, is sufficient to confer<br />

resistance to both APPs and CHDs in the ACC enzyme<br />

of many grasses, while those that are resistant to these<br />

herbicides have a Leu residue at this position (Zagnitko<br />

et al., 2001; Delye et al., 2002). The second single-site<br />

mutation that confers resistance to herbicides is an Ile-to-<br />

Asn change (equivalent to residue 1967 in yeast ACC),<br />

again in the CT domain of ACC (Delye et al. 2003, 2004).<br />

Mutations at three additional sites in the CT domain have<br />

been identified from resistant weeds (Delye et al., 2005).<br />

An Asp/Gly change (equivalent to residue 2004 in yeast<br />

ACC) confers resistance to both APPs and CHDs,<br />

whereas a Trp/Cys and a Gly/Ala change (1953 and 2022<br />

in yeast ACC, respectively) confer resistance to APPs<br />

only. From our results and analysis, we concluded that<br />

the change from Leu to Ile at residue 1705 is critical for<br />

the interaction of ACCase with CHDs. Interestingly, our<br />

phylogenetic analysis (Figure 9) of ACCase genes of


Figure 3. Production of transgenic maize plants. (A) Sethoxydimresistant<br />

calli with the white growing point; (B) plantlet regeneration<br />

from the sethoxydim-resistant calli; (C) plantlets in 1/2 MS rooting<br />

medium; (D) regenerated plantlets in a growth chamber.<br />

Dong et al. 3991<br />

Figure 4. PCR detection of ACCase band (195 bp) in the posterity. M: DNA marker; lane 1, 6, 9, 17, 25, 33,40, 46,<br />

59 and 76 represents the transgenic lines; lane CK- represent the untransformed plant Zong3; lane CK+ represent<br />

the plasmid p3301-ACCase.<br />

Table 2. The oil contents of T1, T2 and T3 generation plants.<br />

Line<br />

Oil content of T1<br />

generation (%)<br />

Average oil content of T2 generation<br />

(%)<br />

Average oil content of T3<br />

generation (%)<br />

6 3.56±0.05 de 3.61±0.08 c 4.29±0.21 c<br />

17 3.86±0.13 cd 4.30±0.25 b 4.47±0.35 bc<br />

40 5.03±0.43 b 5.49±0.36 a 5.34±0.64 a<br />

46 5.62±0.30 a 5.98±0.44 a 5.71±0.20 a<br />

59 4.10±0.29 c 5.52±0.32 a 5.07±0.31 ab<br />

76 5.09±0.18 b 4.54±0.39 b 4.58±0.43 bc<br />

Z3 3.39±0.19 e 3.51±0.37 c 3.47±0.21 d<br />

The oil contents of T2 and T3 generation are the mean value of four to five plants derived from one T1 plant. The number 6, 17,<br />

40, 46, 59 and 76 represented independent transgenic lines, Z3 is untransformed inbred line. Means with standard errors were<br />

calculated from three replicates. Different letters represent significant difference at 5% confidence level as detected by LSD tests


3992 Afr. J. Biotechnol.<br />

Figure 5. Southern blot analysis of TT2<br />

transgenic maize plants.<br />

Aliquots of 50 µg of EcoRI -digested total maize leaf DNA was<br />

fractionated on 0.8% agarose gel, blotted to nylon membrane and<br />

probed with<br />

plasmid p3301<br />

plant.<br />

32 P-labeled 195bp ACCase gene fragment. CK+ is the<br />

plasmid p3301-ACCase (16.37 kb) and CK- is the untransformed<br />

Figure 6. Detection of levels of the foxtail millet ACCase<br />

transcripts by semi semi-quantitative RT-PCR. Upper bands are the<br />

PCR fragments specific for Accase Accase. Lower bands are the maize<br />

actin PCR fragments used as the control. 6, 17, 40, 46, 59 and 76<br />

are the transgenic lines, Z3 is the untransformed plant.<br />

Figure 7. The ratio of oil content of the TT1,<br />

T2 and T3 generation plants. The data ata bars<br />

indicate the ratio of oil content of transgenic lines to untransformed control.


Table 3. The damage index of T3 generation transgenic plants by herbicide.<br />

Parameter<br />

Line<br />

The damage index (%) 30.00 22.22 16.67 14.28 13.33 32.14 96.67<br />

The damage index is the mean value of fourteen to fifteen plants plants.<br />

Figure 8. The sethoxydim resistance evaluation in the field. The fifth leaf of seedlings with 4 to 6 true leaves was pained by<br />

625 mg/l of sethoxydim. Seven days after treatment, the WT plants turned wilt and brown (B), while the transgenic seedlings<br />

grown normal (A). The T2 plants were sprayed with 1250 mg/l of se sethoxydim thoxydim in the field, (C) is the transgenic plant, (D) is the<br />

untransformed control. (E) Left line is the transgenic plants and right line is untransformed plants.<br />

these eukaryotic and prokaryotic types indicates that, all<br />

types that hat have an Ile residue at this position are grouped<br />

into one subfamily, except for AF359514 and AY219175,<br />

which show a leu/Ile substitution at this position. These<br />

results suggest that the CT domain of ACCases in this<br />

subfamily has a special structure that t can bind the<br />

herbicide and that this particular mutation may interfere<br />

with herbicide binding, leading to herbicide resistance.<br />

However, the exact mechanism is not clear. clear.ACCase has<br />

been identified as an important regulatory enzyme for<br />

plant fatty acid synthesis by three in vivo approaches.<br />

Analysis of substrate and product pool sizes has<br />

implicated ACCase in the light/dark regulation of fatty<br />

acid synthesis in spinach leaves (Post-Beittenmiller<br />

et<br />

al.,1992) and chloroplasts (Post-Beittenmiller Beittenmiller et al.,<br />

1991). The total oil content of seeds is increased<br />

approximately 5% by the expression of Arabidopsis<br />

ACCase in rapeseed plastids (Keith et al., 1997). In this<br />

study, over-expression of the plastid foxACC foxACC-R gene<br />

from a foxtail millet increased oil content from 24 to 65%<br />

in the T3 generation over that of the control maize inbred<br />

Transgenic line<br />

6 17 40 46 59 76<br />

Dong et al. 3993<br />

Control<br />

line Zong3 (Table 2). This result is consistent with that<br />

found in tobacco suspension cells, where ACCase is the<br />

apparent site of feedback inhibition of fatty acid synthesis<br />

when supplemented with exogenous fatty acids (Shintani<br />

and Ohlrogge, 1995).<br />

Sethoxydim is a post-emergence emergence herbicide used to<br />

eliminate weeds in dicotyledonous crops. It is absorbed<br />

by the leaves and transported throughout the phloem<br />

towards the apical meristem. stem. Systemic herbicides require<br />

from several days to a few weeks to move throughout the<br />

vascular system of a treated plant. In monocots, necrotic<br />

zones develop in newly formed leaves, resulting in<br />

growth inhibition and cell death in one or two weeks. In<br />

dicots, effects of post-emergence emergence herbicides have been<br />

reported under field conditions (Griffin and Habetz, 1989;<br />

Hart and Roskamp, 1998), but plants usually recover<br />

from injury, depending on growth conditions and season<br />

(Kapusta et al., 1986).<br />

Our results s indicate that the full-length full cDNA of<br />

foxACC-R, when introduced duced into maize, leads to high<br />

resistance to the herbicide sethoxydim; the damage indices<br />

Z3


3994 Afr. J. Biotechnol.<br />

Figure 9. Phylogenetic analysis of the ACCase genes. The amino acid sequences of the<br />

ACCase gene were aligned by ClustalX1.83 and the phylogenetic tree was constructed<br />

using the NJ method in MEGA 3.1. All the types which have Ile residue were grouped into<br />

one subfamily, except for the AF359514 and AY219175 which is leucine /isoleucine<br />

substitution in this position.<br />

of all transgenic lines were lower than 33%, while that of<br />

the control was 97%.<br />

In summary, over-expression of the full-length cDNA of<br />

the foxACC-R gene in maize leads to increased<br />

resistance to sethoxydim. These lines might be used to<br />

develop new maize hybrids with herbicide tolerance in<br />

the near future.<br />

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thifensulfuron and bentazon combinations. Weed Technology,<br />

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African Journal of Biotechnology Vol. 10(20), pp. 3996-4004, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.106<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Variation in nodulation and growth of groundnut<br />

(Arachis hypogaea L.) on oxisols from land use<br />

systems of the humid forest zone in southern<br />

Cameroon<br />

Laurette Ngo Nkot 1 *, Dieudonné Nwaga 2 , Albert Ngakou 3 , Henri Fankem 1 and François-Xavier<br />

Etoa 4<br />

1 Department of Plant Biology, Faculty of Science, University of Douala. P.O. Box 24157, Douala, Cameroon.<br />

2 Laboratory of Soil Microbiology, Biotechnology Centre, University of Yaoundé I. P.O. Box 812 Yaoundé, Cameroon.<br />

3 Department of Biological Sciences, Faculty of Science, University of Ngaoundéré. P.O. Box 454, Ngaoundéré,<br />

Cameroon.<br />

4 Department of Biochemistry, Faculty of Science, University of Yaoundé I. P.O. Box: 812 Yaoundé, Cameroon.<br />

Accepted 11 April, 2011<br />

Improving biological nitrogen fixation through legume nodulating bacteria (LNB) inoculation requires<br />

knowledge on the abundance and effectiveness of indigenous population in the ferralsols. Nodulation<br />

of groundnut was examined under pots experiment in four location sites of the Humid-forest zone:<br />

Bertoua in the East; Ebolowa in the South; Bokito and Yaoundé in the Centre Regions of Cameroon and<br />

within each of the locations, in four land use systems (LUSs) of different levels of disturbance: mixed<br />

farming (1 to 3 years old); fallows (3 to 5 years old); cocoa plantation (> 20 years old); forest (> 30 years<br />

old). Results indicate that, soils under investigation are acidic with pH ranging from 3.68 in the Ebolowa<br />

forest to 6.92 in mixed farming at Bokito. Groundnut formed nodules in all the four LUSs. Soils from<br />

plantations and forests were poorly nodulated, whereas those from mixed farming and fallows were<br />

highly nodulated, with a positive and significant correlation (r 0.406; p < 0.0001) observed between<br />

nodulation and plant biomass in all the studied sites. These results suggest a high variation in<br />

groundnut nodulating bacteria density in soils from diverse LUSs of the humid forest zone of<br />

Cameroon; although, there was a site effect.<br />

Key words: Acid soil, Arachis hypogaea, biomass, land use systems, multilocal, nodulation.<br />

INTRODUCTION<br />

Many soils in the tropics are fragile, with high acidity and<br />

aluminium toxicity, high phosphorus fixation and low soil<br />

biodiversity (Cardoso and Kuyper, 2006). Nitrogen and<br />

phosphorus are the most limiting nutrients for crop<br />

production in these ferral soils (Dogbe et al., 2002). In<br />

Cameroon, acid soils cover more than 80% of arable<br />

lands (The, 2000). Synthetic fertilizers for improving soil<br />

*Corresponding author. E-mail: lnkot@yahoo.fr. Tel: (00 237) 99<br />

92 77 16 or (00 237) 33 30 31 07. Fax: (00 237) 33 42 76 12.<br />

fertility are rarely available to most farmers. In addition,<br />

these fertilizers may induce soil acidification and become<br />

less efficient after many cropping years (Bado, 2002),<br />

leading to a high dependence of soil to N fertilizer for<br />

optimum yield (Fening and Danso, 2002). Since fallow<br />

practice to restore soil fertility is no longer possible<br />

because of land scarcity, there is a need of more efficient<br />

practices.<br />

Four land use systems (LUSs) are common in humid<br />

forest zone in Cameroon: forest; cocoa or coffee plantation;<br />

fallow and mixed farming. Forest conversion to<br />

farms or plantations is increasing in response to popula-


tion growth (Van Noordwijk et al., 2002). Cocoa<br />

(Theobroma cacao) plantation, is one of the dominant<br />

LUS, has served in the past as an economically-attractive<br />

land use but has been rejected by many farmers because<br />

of low and unpredictable prices on the world markets.<br />

Hence, farmers were forced to abandon cocoa or coffee<br />

plantations toward other income-generating opportunities<br />

such as food crops. Forest and some old plantations are<br />

used for annual crops such as groundnut in a mixed<br />

farming system. Under conditions of low external input,<br />

the use of biological nitrogen fixation appears to be a<br />

cheaper and environmentally friendly source of N for<br />

plants (Peoples et al., 1995). According to Bogino et al.<br />

(2006) a high degree of nodulation and nitrogen fixation<br />

in groundnut is provided by indigenous LNB in some soils<br />

from Argentina. Groundnut (Arachis hypogaea L.) is an<br />

important legume crop that provides food for human<br />

subsistence and other products. In Cameroon, groundnut<br />

is the major legume crop in slash and burn, traditional<br />

agricultural food production system. It is grown on<br />

250.000 ha with more than half of the production area in<br />

the northern part of the country (Ntoukam et al., 1996).<br />

The yield is low, with an average 0.85 t.ha -1 compared<br />

with 1.05 t.ha -1 in Senegal and 1.03 t.ha -1 in Nigeria<br />

(Anonymous, 2000). In sub-Saharan Africa, cropping<br />

systems, slash and burn agriculture and acid soil infertility<br />

could be major limiting factors for this crop yield. In<br />

addition, the density of indigenous LNB in diverse land<br />

use systems may affect nodulation and legume performances.<br />

According to Nwaga et al. (2010), land use<br />

changes and cropping practices such as burning may<br />

affect soil functioning in the humid forest, along with<br />

diversity and occurrence of beneficial micro-organisms.<br />

When comparing indigenous versus selected rhizobia<br />

from USA, yield diversity of 0.33 to 1.48 t/ha was noticed<br />

according to groundnut genotypes and 0.27 to 0.76 t/ha<br />

according to rhizobia x genotype interactions in northern<br />

Cameroon low rainfall regions (670-1068 mm)<br />

(Mekontchou et al., 2007). It is therefore, important to<br />

select acid LNB strains with high symbiotic effectiveness<br />

to improve legume production in tropical acid soils. One<br />

of the major problems to improve A. hypogaea in this<br />

region is ‘flat pod phenomenon’ or ‘empty seeds<br />

phenomenon’ of groundnut. Few data are available on<br />

the nodulation and plant growth of legumes such as A.<br />

hypogaea in the Congo Basin zone in Central Africa.<br />

Therefore, the objective of this study was to assess under<br />

greenhouse conditions, nodulation and plant growth of A.<br />

hypogaea on acidic soils from diverse land use systems<br />

in the humid forest zone of southern Cameroon.<br />

MATERIALS AND METHODS<br />

Study sites, experimental design and treatments<br />

Experiments were carried out in soil samples (2 kg plastic bags)<br />

collected from four location sites of the humid forest zone: Bertoua<br />

in the East; Ebolowa in the South; Bokito and Yaoundé in the<br />

Ngo Nkot et al. 3997<br />

Centre regions of Cameroon (Figure 1). Within each site, soils were<br />

collected in four replicates in the four different land use systems<br />

(LUSs): mixed farming, fallow (Chromolaena odorata), cocoa or<br />

coffee plantation and forest. The experimental design was thus, a<br />

split plot (4 x 4) x 4 with the 4 different land uses representing the<br />

main factors and the 4 study sites the sub-factors.<br />

Soil sampling and analysis<br />

A total of 64 soil samples were collected in four location sites<br />

according to Swift et al. (2001). A composite soil sample was a<br />

mixture of ten sub-samples all collected from a LUS of the same<br />

location site. Aseptic precautions were taken during sampling and<br />

handling of each soil to avoid contamination. Soil sample were<br />

taken from sites that had no previous history of LNB inoculation.<br />

The 64 composite samples were taken from the top 0 to 20 cm soil<br />

depth, from which the un-decomposed plant material were removed<br />

by hand. The chemical analysis of the soil was conducted using<br />

standard methods (Anderson and Ingram, 1993).<br />

Assessment of nodulation and growth of A. hypogaea<br />

Groundnut seeds of the A26 variety were obtained from the Institute<br />

of Agricultural Research and Development (IRAD). Nodulation was<br />

assessed by growing germinated seed in perforated plastic bags<br />

containing more than 2 kg of soil samples. Seeds were surface<br />

sterilized in 3.3% calcium hypochlorite solution for 3 min and<br />

washed thoroughly with sterile water, re-suspended in 70% alcohol<br />

for 3 min and washed thoroughly with sterile water. The seeds were<br />

incubated to germinate in sterile Petri dishes containing 0.9% (w/v)<br />

water agar for 2 to 3 days at 28°C. After germination, six seedlings<br />

were sown in each plastic bag. Two weeks after germination, the<br />

number of plants was thinned to four per plastic bag, thus, sixteen<br />

per treatment.<br />

Plants were watered and harvested 6 weeks after sowing. The<br />

root systems of individual plants were washed separately, their<br />

nodules picked and counted from sixteen plants per treatment.<br />

Plant shoot and roots systems were let to dry at 70°C for more than<br />

72 h in an air dry oven and then weighed until constant mass (Athar<br />

and Johnson, 1996).<br />

Statistical analysis<br />

Data were subjected to analysis of variance (ANOVA). Means were<br />

separated between treatments with the least significant difference<br />

(LSD), using the Statgraphic plus, version 5.0 (SIGMA PLUS)<br />

computer package. Comparisons were made among treatments of<br />

the same location site. A p-value < 0.05 was generally used to<br />

evaluate significance, although, higher levels were considered for<br />

p-value < 0.0001. The statistical package for social sciences<br />

(SPSS) was used to assess the correlation between the nodulation<br />

and growth parameters.<br />

RESULTS<br />

Differences in the chemical components of studied<br />

soils<br />

The chemical properties of soils under study are shown in<br />

Table 1. The soil aluminium content was consistently<br />

lower in the fallow (0.34 meq/100 g) than in other LUSs at<br />

Bertoua (p = 0.025), whereas at Bokito, it was


3998 Afr. J. Biotechnol.<br />

Figure 1. Localisation of Cameroon in Africa and distribution of the investigated sites in<br />

humid forest zones.<br />

significantly lower (p = 0.013) in the forest (0.28 meq/100<br />

g) than the plantation (0.49 meq/100 g). At Ebolowa, the<br />

soil aluminium content was significantly lower in the<br />

fallow (0.32 meq/100 g; p = 0.002). In contrast, no significant<br />

difference was found between the soil aluminium<br />

contents of different LUSs in Yaoundé. The lower<br />

aluminium values was 0.20 meq/100 g and the higher<br />

values was 0.52 meq/100 g.<br />

Soil pH of the four sites of the humid forest zone<br />

ranged from 3.96 in the forest at Ebolowa to 6.00 in<br />

mixed farming at Bertoua and did not show significant<br />

differences between the LUSs in any of the studied sites.<br />

Ebolowa soils were more acid than those of Bertoua,<br />

Bokito and Yaoundé. Soil organic carbon ranged from<br />

0.88 to 2.18%, while soil organic matter varied from 1.51<br />

to 3.03%, with a mean value of 2.59%. At Bokito, the soil<br />

organic carbon was similar in forest, mixed farming and<br />

fallow, but was significantly higher (p = 0.017) than in<br />

plantation. Similarly, the soil organic matter did not significantly<br />

vary between the Ebolowa mixed farming and<br />

forest, but was significantly higher (p = 0.05) than those<br />

of the fallow and plantation. The total mean soil N value<br />

was low and ranged between 0.11 and 0.15% with little or<br />

no site variations. Plantation had the most acid LUS soil<br />

with an average of 4.85.<br />

Nodulation of groundnut in different LUSs<br />

All the soils used for nodulation experiment had<br />

indigenous rhizobia that were able to nodulate groundnut.<br />

The mean nodule number varies from 13 in the<br />

plantations to 94 nodules in the fallow, depending on site<br />

and LUSs. A highly significant correlation was found<br />

between nodule number and groundnut growth.<br />

The number of nodules per plant was significantly<br />

higher (p < 0.0001) in the fallow than in other LUSs in all<br />

the experimental sites, with the maximum number of<br />

nodules observed at Bokito (94 nodules). This nodulation<br />

status (>75 nodules/root system) is characterized as<br />

good according to Amijee and Giller (1998). There was<br />

no significant difference between the number of nodules<br />

formed in the plantation and forest at Bertoua, mixed<br />

farming, plantation and forest at Bokito and Yaoundé,<br />

mixed farming and plantation at Ebolowa. The number of<br />

nodules formed by A. hypogaea in all the LUSs at<br />

Ebolowa was lower than that of any of the sites, with the<br />

lowest accounting for plantation (13 nodules). This nodu-


Ngo Nkot et al. 3999<br />

Table 1. Variation of the soil chemical parameters under different land uses of the experimental sites in the humid forest zone of<br />

southern Cameroon.<br />

Site Chemical parameter<br />

Bertoua<br />

Bokito<br />

Ebolowa<br />

Yaoundé<br />

Farm Fallow<br />

Land use<br />

Plantation Forest<br />

p-value LSD (5%)<br />

Al 3+ (meq/100 g) 0.47 b 0.34 a 0.40 ab 0.39 ab 0.025 0.127*<br />

C/N (ratio) 8.60 a 12.04 a 9.40 a 8.65 a 0.561 ns<br />

pH (H2O) 6.00 a 5.97 a 5.71 a 5.54 a 0.285 ns<br />

N (%) 0.12 a 0.11 a 0.11 a 0.11 a 0.846 ns<br />

OM (%) 1.77 a 2.05 a 1.78 a 1.60 a 0.549 ns<br />

OC (%) 1.03 a 1.20 a 1.03 a 0.93 a 0.535 ns<br />

Al 3+ (meq/100 g) 0.45 ab 0.45 ab 0.49 b 0.28 a 0.013 0.20**<br />

C/N (ratio) 8.14 a 8.70 a 7.99 a 9.54 a 0.736 ns<br />

pH (H2O) 5.68 a 5.71 a 5.15 a 5.68 a 0.830 ns<br />

N (%) 0.125 a 0.112 a 0.115 a 0.130 a 0.450 ns<br />

OM (%) 1.72 ab 1.67 ab 1.51 a 2.12 b 0.097 0.61*<br />

OC ( %) 1.00 ab 0.97 ab 0.88 a 1.22 b 0.017 0.34**<br />

Al 3+ (meq/100 g) 0.52 c 0.32 a 0.37 ab 0.44 bc 0.002 0.122**<br />

C/N(ratio) 11.62 a 18.89 b 15.37 ab 17.92 b 0.041 6.29*<br />

pH(H2O) 4.09 a 4.02 a 4.14 a 3.96 a 0.783 ns<br />

N (%) 0.14 c 0.11 a 0.13 bc 0.12 ab 0.005 0.01**<br />

OM (%) 2.93 bc 2.15 a 2.23 ab 3.03 c 0.05 0.77*<br />

OC (%) 1.68 a 2.15 a 2.02 a 2.18 a 0.222 ns<br />

Al 3+ (meq/100 g) 0.21 a 0.20 a 0.25 a 0.20 a 0.488 ns<br />

C/N (ratio) 12.14 a 8.94 b 8.93 b 8.52 b 0.081 3.20*<br />

pH (H2O) 4.75 a 5.15 a 4.39 a 5.26 a 0.325 ns<br />

N (%) 0.125 a 0.127 a 0.145 a 0.135 a 0.369 ns<br />

OM (%) 2.55 a 1.95 a 2.24 a 2.04 a 0.468 ns<br />

OC (%) 1.48 a 1.13 a 1.30 1.17 a 0.463 ns<br />

Values in a row followed by the same letter within a studied site are not significantly different at 5% level (ns: non-significant; *,<br />

significant; **, highly significant).<br />

lation status (25 nodules/root system) was characterized<br />

as poor according to Amijee and Giller (1998). Poor<br />

nodulation occurs only in plantation and forest, while<br />

moderate nodulation (25 to 75 nodules/root system were<br />

obtained in fallow and mixed farming. The number of<br />

nodules per plant was higher at Bokito and the lowest<br />

one at Ebolowa.<br />

The dry weight of nodules harvested from plants at<br />

Bokito was significantly higher than that of any other<br />

studied site (Figure 2). Although, there were some<br />

differences in the nodules dry weight between LUSs,<br />

which was not statistically significant between the sites.<br />

Growth of A. hypogaea in different LUSs<br />

The highest shoot dry weights of A. hypogaea were<br />

observed in Bokito soils, followed by Bertoua soils;<br />

whereas the shoot dry weights of plants in plantations<br />

were lower than those of other LUSs (Table 2). Fallow<br />

significantly improved the fresh and dry weight of root<br />

and shoot systems of groundnut in Bertoua (p < 0.0006),<br />

Bokito (p < 0.0009) and Ebolowa (p < 0.007) compared<br />

with mixed farming, plantation and forest. In Yaoundé in<br />

contrast, whereas the fresh weight of shoot system was<br />

significantly greater in the forest (p < 0.0001) than in<br />

other land uses, the fresh weight of the root system was<br />

similar in mixed farming and fallow, but was at the same<br />

time significantly enhanced (p < 0.0001) than in<br />

plantation and forest.<br />

There was no significant difference (p = 0.321) between<br />

the land uses as far as the dry weight of root system is<br />

concerned. The greatest plant fresh weight system was<br />

registered in a forest of Yaoundé (11.16 g), while the<br />

smallest was observed in a plantation of Ebolowa (4.03<br />

g). The dry weight of the root system was generally not<br />

high, ranging from 0.11 g in plantations (Bokito) to 0.32 g<br />

in mixed farming (Yaoundé).<br />

At Bokito, highly significant correlations were found


4000 Afr. J. Biotechnol.<br />

Table 2. Effect of LUSs on the biomass of A. hypogaea in four sites in humid forest zone of southern<br />

Cameroon.<br />

Study site Parameter<br />

Bertoua<br />

Bokito<br />

Ebolowa<br />

Yaoundé<br />

Land use<br />

Farm Fallow Plantation Forest<br />

p-value LSD 5%<br />

Fwss 8.50 b 9.08 b 5.77 a 5.90 a


Table 3. Correlations between number of nodules per plant and the shoot and root biomass of groundnut<br />

from humid forest soils in southern Cameroon.<br />

Experimental site<br />

Bertoua<br />

Bokito<br />

Ebolowa<br />

Yaoundé<br />

Shoot and root biomass<br />

Fwrs Fwss Dwrs Dwss<br />

r = 0.579*** r = 0.774*** r = 0.055 ns r = 0.635***<br />

p < 0.0001 p < 0.0001 p = 0.665 p < 0.0001<br />

r = 0.468*** r = 0.692 *** r = 0.461*** r = 0.474***<br />

p < 0.0001 p < 0.0001 p < 0.0001 p < 0.0001<br />

r = 0.081 ns r = 0.503*** r = - 0.010 ns r = 0.406***<br />

p = 0.522 p < 0.0001 p = 0.935 p< 0.001<br />

r = -0.133 ns r = 0.698*** r = -0.069 ns r = 0.558***<br />

p = 0.296 p < 0.0001 p = 0.589 p < 0.0001<br />

Fw, Fresh weight; Dw, dry weight; ns, non significant; rs, root system; ss, shoot system; ***, very highly<br />

significant.<br />

between nodule number and respectively the fresh<br />

weight root system (r = 0.468; p < 0.0001) and the dry<br />

weight root system (r = 0.461; p < 0.0001). Other significant<br />

and positive correlations were observed between<br />

the number of nodules and the dry weight of shoot<br />

system (r = 0.474; p < 0.0001) (Table 3). In contrast,<br />

there was no significant correlation between the number<br />

of nodules and the dry weight of root system at Bertoua,<br />

between the number of nodules and the dry weight of<br />

root system at Ebolowa and between the number of<br />

nodules and the dry weight of root system at Yaoundé.<br />

The positive correlation observed between nodulation<br />

and dry weight shoot growth of groundnut suggests that<br />

the two parameters evolve together.<br />

DISCUSSION<br />

The soils of all the four LUSs were acidic with high<br />

aluminium content in most sites except Yaoundé. Since<br />

these mixed farming and fallow soils generally have<br />

never received inorganic fertilizer, the low pH value is<br />

assigned to growing lands. Except in Yaoundé, LUSs<br />

significantly influence the soil aluminium. The lower<br />

aluminium values, 0.20 meq/100 g is from the fallow and<br />

the higher values, 0.52 meq/100 g is from the mixed<br />

farming. In Bertoua and Ebolowa, the soil aluminium<br />

content was significantly lower in the fallow when<br />

compared with other LUSs. The low aluminium content in<br />

fallow could be due to the residual effect of the wood ash<br />

from the slash and burn practice. Agoumé and Birang<br />

Ngo Nkot et al. 4001<br />

(2009) also reported that, aluminium saturation was<br />

significantly affected by the LUSs with the lowest<br />

aluminium saturation obtained in soils of C. odorata<br />

fallows. They noted that, soils of fallows presented a<br />

higher fertility level when compared with those of the<br />

secondary forests and cocoa plantations.<br />

The different LUSs did not significantly influence soil<br />

acidity in all the experimental sites. Soils under<br />

investigation have pH values ranging from 3.96 to 6.00.<br />

Ebolowa soil was the most acidic of all (pH 4.07), in<br />

agreement with other results from which the soils of the<br />

southern region of Cameroon were acid with pH ranging<br />

from 3.69 to 4.12 (Fankem et al., 2006).<br />

All the groundnut plants examined formed effective root<br />

nodules, suggesting that all these soils contain<br />

indigenous LNB able to nodulate A. hypogaea. The cross<br />

section of some nodules showed the red coloration,<br />

suggesting the presence of leghemoglobin, related to<br />

nitrogen efficiency (Abdel-Wahab et al., 2002). In all the<br />

experimental soils, no rhizobia inoculant strains were<br />

used. Nodules were thus, formed by indigenous LNB.<br />

These results are in accordance with other studies that<br />

showed that, nodulation failure is rare for many tropical<br />

legumes such as A. hypogaea, a promiscuous species<br />

belonging to cowpea miscellany group (Alwi et al., 1989).<br />

Moderate to higher number of nodules, from 30 to 94<br />

per plant was formed in the mixed farming and fallows in<br />

soils from humid forest zone in southern Cameroon. But<br />

can we consider that, natural nodulation in these LUSs is<br />

adequate? Assessments of more mixed farming<br />

nodulation and inoculation experiments are needed to


4002 Afr. J. Biotechnol.<br />

confirm this. Some results reported that, nodule number<br />

from indigenous rhizobia was higher in farm previously<br />

planted with groundnut than in other farms where<br />

groundnut was not previously planted (Bogino et al.,<br />

2006). The density of LNB in these soils can be<br />

compared with nodulation response of groundnut in the<br />

different LUSs to explain the results. The comparison<br />

supports the observation that, when LNB density in these<br />

LUSs is high, the nodulation is also high. LNB density is<br />

generally lower in cocoa or coffee plantations and forest<br />

soils than in fallows or mixed farming of southern<br />

Cameroon (Ngo Nkot, 2009). This could be the<br />

consequence of farming practices management involving<br />

pesticides in plantations and a legume for LNB in mixed<br />

farming and fallows. Thakuria et al. (2009) also observed<br />

a gradual increase in nitrogenase activities in roots of rice<br />

and pea under Azospirillum/Rhizobium alone integrated<br />

nutrient management (INM) or Azospirillum/Rhizobium<br />

plus phosphate-solubilizing bacteria dual INM plots in<br />

acidic soils, which could be a result of either population<br />

build-up of introduced bio-inoculants in the rhizosphere or<br />

better soil environment for the N fixers. The highest level<br />

of rhizobia genetic diversity was recorded in soils under<br />

cocoa plantation when compared with soils under mixed<br />

farming with groundnut (Ngo Nkot et al., 2008).<br />

Soils from cocoa or coffee plantations and forests in<br />

southern Cameroon had the lowest number of<br />

groundnuts nodules, respectively 32 and 42 per plant.<br />

This suggests that, LNB were less abundant in these<br />

LUSs. The lack of response to inoculation has been<br />

previously demonstrated to be attributed to other factors<br />

such as inadequate nodulation, unfavourable conditions<br />

for survival of introduced LNB strains and inability of<br />

inoculant strains to compete with indigenous ones for<br />

nodule sites (Bogino et al., 2006). The mean number of<br />

nodules per LUS was very low in cocoa/coffee plantations,<br />

probably because these soils had been under cocoa or<br />

coffee plantations for the past 20 years at least, excluding<br />

legumes but regularly using fungicides and insecticides<br />

for disease and pest control. Ciani and Diriye (1995)<br />

noted the absence of LNB in soils under banana and<br />

papaya plantations compared with soil were leguminous<br />

plants such as groundnut and cowpea were cultivated.<br />

Soils under plantations were the most acid of all the<br />

LUSs (pH 5.83 in average). By decreasing the LNB<br />

population density, acidity may delay the initiation of<br />

infection process and hence, the appearance of<br />

subsequent nodules. The decline of LNB in plantation<br />

may be the consequence of the lower soil pH. These<br />

findings are similar to other results reported by Cheng<br />

(2003), who showed that, Medicago murex grown in acid<br />

soil (pH 4.3) produced fewer nodules (2.3/plant) than<br />

plants grown at pH 7.0 (8.2/plant) 41 days after sowing.<br />

According to Brady and Weil (2002), the low pH in acid<br />

soils leads to an increased availability of aluminium and<br />

manganese which become toxic, as well as a low<br />

concentration of phosphate, calcium and molybdenum.<br />

The lack of adequate number of Bradyrhizobium<br />

japonicum in Nigerian soils was shown to limit nodulation<br />

and nitrogen fixation of soybean, thus, decreasing the<br />

yield (Broomfiel and Ayanaba, 1980). The frequently low<br />

number of nodules observed in forest soils has been<br />

associated with a low requirement for N, which is<br />

considered not to be a limiting factor under these<br />

conditions (Zilli et al., 2004). Tematio et al. (2001)<br />

showed that, soils in the forest are not very fertile. The<br />

fertility is limited by soil acidity, the low amount of cations<br />

exchanged capacity, the aluminium toxicity and the low<br />

available phosphorus. In such conditions, LNB growth<br />

was reduced (Hussein, 2000; Zahran, 1999). Selection of<br />

acid tolerance rhizobial strains of Phaseolus vulgaris L.<br />

done by Gutierrez and Barraquio (2010) yielded that only<br />

36 acid-tolerant strains over 189 (19%) were isolated in<br />

Philippines. Some local strains of rhizobia have been<br />

previously shown to be more acid tolerant than a Chinese<br />

one (Nwaga and Ngo Nkot, 1998). Further studies are<br />

needed to characterize, assess LNB density and select<br />

A. hypogaea strains adapted for acidic oxisols. According<br />

to Lindström et al. (2010) a challenge for agriculture is to<br />

match rhizobia and legume crops for optimal performance<br />

either by having plant genotypes adapted to local<br />

rhizobial populations or by inoculating effective strains<br />

adapted to prevailing environmental conditions and good<br />

competitive ability against local, less effective strains.<br />

Nodules were present in large number at Bokito grey<br />

soils compared with Ebolowa reddish soil sites. This poor<br />

nodulation at Ebolowa clay soils might indicate its<br />

contribution for poor plant growth and low yield of A.<br />

hypogaea. Alemayehu (2010) also find poor nodulation of<br />

Vicia faba in Ethiopian soils and conclude that, poor BNF<br />

may partially be responsible for reduction of faba bean<br />

nodulation.<br />

In Bokito sandy loam soils, the cropping systems are<br />

more diversified including A. hypogaea in the farms<br />

together with other legumes such as Vigna unguiculata,<br />

while in fallows, Crotalaria juncea was present. The<br />

improved soil fertility of Bokito site, due to the presence<br />

of more local LNB can account for the large density of<br />

nodules observed in this site. Remarkable increases in<br />

groundnut yield have been achieved through inoculation<br />

with Bradyrhizobium sp. mainly in areas cultivated with<br />

groundnut for the first time (Lanier et al., 2005).<br />

Inoculation of groundnut by LNB provided contrasting<br />

responses on two sites in central region of Cameroon;<br />

since yield increases of 169% on a relatively fertile clayey<br />

loam soil from Yaoundé and of only 5% on a mixed<br />

farming low-fertility sandy loam soil from Bokito (Mandou<br />

et al., 2002; Nwaga et al., 2010). A synergistic effect of<br />

inoculation and molybdenum seed treatment was also<br />

noticed, since this dual treatment resulted in a 288% yield<br />

increase in the Yaoundé site and a 21% increase in the<br />

Bokito site, when compared with the untreated control.<br />

The contrasting response to inoculation in the two study<br />

sites may be related to the density of indigenous LNB<br />

populations, since the Bokito soil contained 17,000<br />

cells/g and the Yaoundé soil only 170. Increase yield of


82% has been observed for A. hypogaea after rhizobia<br />

inoculation (Betsama, 1999). An inoculation response is<br />

extremely unlikely when native LNB soil bacteria density<br />

is more than 1,000 cells g -1 (Thies et al., 1991; Mafongoya<br />

et al., 2004). Some preliminary results indicate that, soil<br />

infertility and low density of LNB could be one of the<br />

causes of low pod filling of groundnut.<br />

The ability of A. hypogaea to nodulate in all the soils<br />

examined is an indication that the compatible LNB were<br />

present in these soils, but in diverse density. The growth<br />

of groundnut expressed in terms of shoot and root weight<br />

basis was better at Bokito and Bertoua than Yaoundé<br />

and Ebolowa soils, confirming the relation with nodulation<br />

results. Once again, growth was more improved in fallow<br />

than mixed farming, plantation and forest in all the<br />

experimental sites. The positive correlation observed<br />

between nodulation and dry weight, shoot growth of<br />

groundnut reflect that the LNB symbiosis enhance the<br />

plant response by providing increase nitrogen for the<br />

growth. Similar results were reported in sub Saharan<br />

Africa mixed farming inoculated with strains of LNB for<br />

cowpea (Ngakou et al., 2007), soybean (Megueni et al.,<br />

2006) and many other tropical legumes (Nwaga et al.,<br />

2010). Alemayehu (2010) also reported a positive corre-<br />

lation between nodulation and shoot height of V. faba.<br />

According to Lindström et al. (2010) inoculation is<br />

recommended if the field has no history of legume<br />

cultivation, especially if the plant is exotic to a new<br />

environment or if the soil is acidic, saline or otherwise<br />

hostile to rhizobia. In this study, inoculation is more likely<br />

to provide significant increase in nodulation, nitrogen<br />

fixation and seed yield in plantations and forest where<br />

soils are acidic.<br />

Conclusion<br />

Various soils of the humid forest zone of Cameroon<br />

contain LNB able to nodulate groundnut, but, are this<br />

enough for optimal nitrogen fixation and seeds production<br />

of A. hypogaea? Nodulation and growth of A. hypogaea<br />

closely depend on the land use system type and much<br />

more on the sites. An important variation was noticed on<br />

groundnut nodulation and growth according to site and<br />

land use. Further studies are needed to characterize<br />

major factors involved such as rhizobia density and select<br />

acidity tolerant strains adapted to environmental<br />

conditions of the humid forest zone of Cameroon.<br />

Investigations on these isolates could provide additional<br />

information on their symbiotic effectiveness with the aim<br />

of identifying very effective indigenous nitrogen fixing<br />

strains for local production of a specific groundnut<br />

inoculant.<br />

REFERENCES<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4005-4010, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.861<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Comparison of some anthropometric and biologic<br />

parameters in two groups of Tunisian infants (0 to 2<br />

years)<br />

M. Kamel 1 *, A. Barkia 1,2 , M. Hamdaoui 3 , H. Ketata¹, M. Kassis 4 , M. Nasri 2 and A. Aouidet 3<br />

1 Ecole Supérieure des Sciences et Techniques de la Santé, de Sfax, boite postale 1099 Sfax 3038, Tunisie.<br />

2 Laboratoire de Génie Enzymatique et de Microbiologie, Ecole des Ingénieurs, Sfax, Tunisie.<br />

3 Ecole Supérieure des Sciences et Techniques de la Santé, Tunis, Tunisie<br />

4 Faculté de Médecine, Sfax, Tunisie.<br />

Accepted 17 December, 2010<br />

Malnutrition still remains a preoccupying health problem that affects the most vulnerable age group<br />

(less than five years). The aim of this research is to establish the nutritional profile of the Tunisian<br />

infants less than 2 years, to specify the principal deficiencies and the possible origins of these<br />

deficiencies. In our transverse exploratory study carried out in a period of 12 months, two groups of<br />

infants less than 2 year old; a control group (n = 18) and a malnourished group (n = 18) were used. Our<br />

data consolidate the impact of pregnant women’s nutritional state, breastfeeding on the infant and the<br />

infant growth. In comparison with the control group, the malnourished group showed a significant<br />

reduction in weight/age, weight/height (p < 0.001), a significant reduction of the average values of<br />

cholesterol associated with high density lipoproteins (Chol-HDL) and the ratio of cholesterol associated<br />

with high density lipoproteins to cholesterol associated with low density lipoproteins (Chol-HDL / Chol-<br />

LDL). This shrinkage showed a positive correlation with the weight/height ratio which is an indicator of<br />

malnutrition gravity. The results of this study confirmed the existence of a remarkable change of the<br />

biological profile among malnourished infants. In addition, the study shows the necessity to target and<br />

develop means to fight against factors favoring malnutrition.<br />

Key words: Malnutrition, infants, breastfeeding, protein, lipoprotein.<br />

INTRODUCTION<br />

In Tunisia, protein energy malnutrition (PEM) in preschool<br />

children is quite common, especially in rural areas (El Ati<br />

et al, 2002). According to the available epidemiological<br />

data, it was noticed that the prevalence of PEM varied<br />

between 11.2 and 23.4% in rural areas and 10.4 and<br />

6.2% in urban areas (El Ati et al., 2002). PEM affects<br />

various significant functions such as the physical growth,<br />

mental development, training capacity, the organism deence<br />

capacity, in particular the immunizing response and<br />

*Corresponding author. E-mail : kamelmed2006@yahoo.fr.<br />

Abbreviations: PEM, Protein energy malnutrition; EDTA,<br />

ethylenediamine tetra-acetic acid; apo, apolipoproteins; TG,<br />

triglycerides.<br />

antioxidant processes (Ahmed et al., 2009; Chen et al.,<br />

2009; Moynihan et al., 2009). The danger of malnutrition<br />

is especially serious among the young population, particularly<br />

children younger than 5 years.<br />

A well regulated diet must satisfy not only the protein<br />

energetic needs, but also those various micro nutriments<br />

(vitamins, zinc, etc.), which interact with the pathogenneses<br />

of various diseases that are established. For<br />

example, it was reported that a deficit in zinc, selenium,<br />

iron, vitamins A, E and acid folic is able to alter the<br />

immunizing responses (Makonnen et al., 2003; Rubhana<br />

et al., 2004). Similarly, it was shown that there existed a<br />

significant relation between diarrhoea, measles, anaemia<br />

and deficit in zinc, vitamin A and iron, respectively<br />

(Rahman et al., 2002; Muller et al., 2003).<br />

Malnutrition is also associated with biological disturbance.<br />

It is particularly accompanied by a reduction in


4006 Afr. J. Biotechnol.<br />

various proteins serum (albumin, prealbumin, retinol binding<br />

and apolipoproteins) and a reduction in the total<br />

cholesterol (chol), Chol-high density lipoprotein (HDL)<br />

and the ratio of Chol-HDL to Chol-low density lipoprotein<br />

(LDL).<br />

The aim of this study is to look for ways of establishing<br />

the nutritional profile of the Tunisian infants of less than<br />

two years, examine the effect of malnutrition on this<br />

profile and specify the principal deficiencies affecting the<br />

young infants.<br />

MATERIALS AND METHODS<br />

Subjects<br />

In our transverse exploratory study carried out during a period of 12<br />

months (from January to September, 2007), thirty six infants under<br />

2 years were recruited and divided into two groups: The first group<br />

is a control (n = 18), aged 11.3 ± 9.4 months, they were recruited<br />

among those frequenting the services of University Hospital Centre<br />

(UHC) of Sfax (large city in the south of Tunisia) through the regular<br />

postnatal control. They had a Z score for both their weight and<br />

height (between – 1 DS and + 1 DS).<br />

The second group (n = 18), malnourished infants aged 7.8 ± 6.6<br />

months, was recruited among those hospitalized in the service of<br />

paediatrics of this hospital. All the malnourished cases had a Z<br />

score < -2 D S (Pelletier et al., 1995). The protocol of research was<br />

made and approved by the ethical committee of the centre (UHC)<br />

and accepted by parents who gave written consent to the inclusion<br />

of their children in the study.<br />

Socio-economic, anthropometric and dietary assessments<br />

In the two groups, epidemiological characteristics (age and daily<br />

food consumption), clinics and anthropometrics parameters (height<br />

and weight) were noted. A socioeconomic survey, using a type<br />

closed standard questions was investigated. Moreover, the daily<br />

food intake of mothers was recorded according to the 24 h dietary<br />

recall method. The team also measured the index of body weight<br />

mass and the brachial perimeter.<br />

Blood collection<br />

Blood samples were taken from malnourished infants before any<br />

treatment. In both groups, fasting blood was drawn in vacationer<br />

tubes containing ethylenediamine tetra-acetic acid (EDTA) and<br />

centrifuged at 3000 rpm for 10 min, then the plasma was removed<br />

and conserved at 80°C until the analysis of different biological<br />

parameters were done.<br />

Plasma biological parameters<br />

Total proteins were quantified using the Biuret method (Biuret and<br />

Layne, 1957). The albumin, prealbumin, apolipoproteins AI (apo-AI)<br />

and B (apo-B) were determined by immunoturbidimetry on automates<br />

COBAS INTEGRA 400 (Roche Diagnostic Gmb H,<br />

Mannheim, Germany). The serum zinc and iron were determined<br />

after dilution of the sample in ultra-pure water by atomic absorption<br />

spectrophotometry using titrisol standard solution (Merck, Darmstadt,<br />

Germany) and PERKIN EL MER MODEL 305 B.<br />

Vitamins<br />

The serum vitamins A and E were realized using reversed-phase<br />

height-pressure liquid chromatography (RP-HPLC) according to the<br />

method of Jacob and Elmadfa (1995). Briefly, plasma proteins were<br />

precipitated with ethanol and lipids were extracted with n-hexane.<br />

After evaporation, the dry residue was redissolved with 150 µl of<br />

methanol-dichlormethane (85:15 v/v), mixed and then an amount of<br />

100 µl of this solution was injected into a guard column (Merck<br />

LiChrospher 100 RP18 (10 µm), 250 x 4 mm). Samples were run at<br />

a flow rate of 1.0 ml/min on a Dionex HPLC system (Summit TM<br />

HPLC, USA). Absorption was monitored at 325 nm for retinol, at<br />

295 nm for tocopherols, at 450 nm for carotenoids and at 270 nm<br />

for coenzyme Q10. Concentrations were calculated from areas<br />

under the curve using an external calibration curve. The vitamins<br />

were determined by spectrophotometer detector in 340 nm for the<br />

retinol and the retinal- acetate and in 292 nm for the alphatocopherol.<br />

Lipoproteins<br />

The fraction of HDL lipoproteins was obtained after precipitation<br />

with phosphotungstic acid containing the apo B (LDL), by using the<br />

case marketed by Bio Merieux (France). The total cholesterol,<br />

triglycerides (TG) and HDL were determined by enzymatic methods<br />

by using the automat RA 1000 analyser (Bayer Diagnostic, München,<br />

Germany). The cholesterol LDL were calculated by using the<br />

formula of Friedward:<br />

Chol LDL = CT- (Chol LDL + Chol VLDL)<br />

The very low density lipoproteins were calculated by dividing the<br />

rates of TG by 5. All our subjects had concentrations of TG lower<br />

than 3 g/l, which is a necessary condition for the application of Friedewald<br />

et al., (1972) formula.<br />

Statistical assessment of the data<br />

The average and standard deviation of the different parameters<br />

studied were calculated. Students’ t-test was used to assess the<br />

differences between the average values of these studied parameters<br />

in the groups. Statistical significance was considered for p<br />

values


Table 1. Comparison to the average values of the anthropometric parameters in the two groups of<br />

infants.<br />

Parameter Control (C) Malnourished (M) Significances (P)<br />

Age (months) 11.32 ± 9.37 7.83 ± 6.62 NS<br />

Weight at birth ( kg) 3.14 ± 0.28 2.74 ± 0.45 P < 0.05<br />

Weight (kg) 8.06 ± 2.86 5.13 ± 2.23 P < 0.02<br />

Weight of reference (kg) 7.62 ± 2.53 7.62 ± 2.54 NS<br />

Height at birth (cm) 50.39 ± 0.92 49.89 ± 0.96 NS<br />

Height (cm) 66.43 ±10.10 61.08 ± 9.56 NS<br />

Height of reference (cm) 67.39 ± 9.98 67.79 ± 9.54 NS<br />

Weight/height 0.12 ± 0.03 0.08 ± 0.02 P < 0.001<br />

Height/age 18.17 ±17.52 16.56 ±15.67 NS<br />

ns: No significant difference<br />

Table 2. Comparison of the mean values of the biological parameters in control and malnourished<br />

groups.<br />

Parameter Control (C) Malnourished (M) Significances(P)<br />

Apolipoprotein AI (g/l) 1.00 ± 0.19 0.77± 0.13 P < 0.001<br />

Apolipoprotein B (g/l) 0.59 ± 0.27 0.54 ± 0.09 NS<br />

Proteins (g/l) 60.71±10.09 49.25 ± 9.85 P < 0.001<br />

Albumin (g/l) 30.80 ± 5.86 24.62 ± 5.22 P < 0.001<br />

Prealbumin (g/l) 0.14 ± 0.07 0.11 ± 0.05 NS<br />

Vitamin A (µg/ml) 0.34 ± 0.16 0.21 ± 0.09 P < 0.01<br />

Vitamin E (µg/ml) 10.07 ± 3.79 4.72 ± 4.14 P < 0.001<br />

Iron (mg/ l) 40.91 ± 3.40 23.55 ± 3.65 P


4008 Afr. J. Biotechnol.<br />

Table 3. Correlate coefficients of weight/height ratio with other<br />

parameters.<br />

Parameter Weight/height<br />

Age 0.69 (***)<br />

Weight at birth 0.37 (*)<br />

Apolipoprotein AI ns<br />

Apolipoprotein B ns<br />

Proteins 0.68 (***)<br />

Albumin 0.49 (***)<br />

Prealbumin 0.70 (***)<br />

Vitamin A 0.66 (***)<br />

Vitamin E 0.77 (***)<br />

Zinc ns<br />

Iron 0.67 (***)<br />

Total cholesterol 0.37 (*)<br />

Triglycerides 0.48 (***)<br />

Chol- HDL ns<br />

Chol-LDL 0.37 (*)<br />

Chol-HDL /Chol-LDL ratio -0.04<br />

Chol-HDL; Cholesterol associated with high density lipoproteins;<br />

Chol-LDL: cholesterol associated with low density lipoproteins;<br />

Chol-HDL /Chol-LDL: ratio of Chol-HDL to Chol-LDL.<br />

*p < 0.05, ** p < 0.01, ***p < 0.001, ns: no significant difference.<br />

decrease in vitamin A, zinc (p < 0.01), Chol-HDL / Chol-<br />

LDL ratio (p < 0.02), Apo-AI, total proteins, albumin,<br />

vitamin E, HDL and iron (p < 0.001).<br />

In our study, we examined the relationship between the<br />

ratio weight/height (at the moment of recruitment) with<br />

the various examined parameters. Our data (Table 3)<br />

show that, some parameters correlated significantly with<br />

the ratio weight/height at the moment of recruitment,<br />

except the Apo AI, Apo-B, zinc and Chol-HDL.<br />

Our results show that the malnutrition of the infants<br />

induced a delay of the growth and perturbation of the<br />

biological parameters. Nutritional status was assessed<br />

using weight-for-height as an indicator to the present<br />

state of nutrition and height-for-age as an indicator of<br />

past nutrition. The growth of our groups was evaluated<br />

from the study of the ratios weight/height and height/age.<br />

The decrease in the first ratio is due to a fast thinning,<br />

whereas the decrease in the second ratio can be<br />

explained by a delay in the height growth. Only the first<br />

ratio has been found to be significantly decreased in the<br />

malnourished group, comparatively with the control<br />

group. The non variation of the second ratio can be explained<br />

by the age of our subjects which was of few<br />

months (7.83 ± 6.62 months).<br />

The borderline grade weight/height ratio among malnourished<br />

infants is probably attributable to the less<br />

privileged socioeconomic conditions of the community<br />

they belonged to. In addition, the abnormal state of our<br />

patients would be, in part, due to a prenatal origin as it is<br />

suggested by their weight at birth, less than that found in<br />

the control group. This hypothesis is confirmed by the<br />

existence of a positive correlation between their weight at<br />

birth and the weight/height relationship at the time of their<br />

admission in the hospital.<br />

The interaction between the nutritional state of the<br />

mother and that of the foetus has been established. It has<br />

been notably reported that a mother’s iron deficiency is<br />

explained, within the newborn baby, by an increasing<br />

anaemia (Sibeko et al., 2004). Besides, it has been<br />

proved that the satisfaction of the needs of the foetus for<br />

calcium requires an adequate amount of calcium and<br />

vitamin D by pregnant women. In the default case, the<br />

infant would have been born with a deficit of calcium and<br />

a weak reserve of vitamin D. This relationship between<br />

mother-infant also appeared clearly after the quantifycations<br />

of vitamins A and E in the mother’s blood as well<br />

as in that of the umbilical cord (Schulpis et al., 2004).<br />

The alimentary survey realized in our subjects revealed<br />

that, many postnatal factors were thought to aggravate<br />

the delay of the growth and biological disturbances. The<br />

absence of breast-feeding in our patients (94%) and the<br />

contribution of an insufficient need of artificial milk clearly<br />

showed a nutritional deficit. Besides, the great loss in<br />

weight and height should also be taken into consideration<br />

since our patients suffered from gastro-intestinal<br />

problems. These problems could result from inadequate<br />

complementary foods taken by babies in/before due time<br />

(before 4 to 6 months), due to the insufficient amounts of<br />

milk they have had. Other factors could interfere in the<br />

growth, especially the problems of infection as a result of<br />

the bad hygienic conditions. Such state was also likely to<br />

occur in underfed babies who are protected by various<br />

defensive factors existing in the mother’s milk (IgA,<br />

lysozyme, macrophages and granulocytes) (Hanson and<br />

Soderstrom, 1981).<br />

Therefore, it was of much importance to study parameters<br />

relating to oxidative stress (antioxidant vitamins<br />

and lipid peroxidation products). In fact, in malnourished<br />

infants, levels of plasma antioxidant vitamins A and E did<br />

significantly differ from levels observed in a similar control<br />

group. In addition, plasma levels of antioxidants were<br />

significantly lower in these malnourished infants. These<br />

observations are in agreement with other studies (Golden<br />

and Ramadath, 1987; Houssaini et al., 1977; Mc Laren et<br />

al., 1969). From the course of this study, it is evident that<br />

there is a significant correlation between enzymatic antioxidants<br />

and the antioxidant vitamin levels that reflect the<br />

pathological features of nutritional program rehabilitation.<br />

Therefore, there should be special emphasis on supplying<br />

antioxidant agents during any nutritional rehabilitation<br />

programme such as vitamins (A, E and C) and trace elements<br />

(calcium, magnesium, potassium and iron). Consideration<br />

should also be given to supplying therapeutic<br />

enzymatic antioxidants in order to reduce free radical


generation and enhance antioxidant status. These measures<br />

may help to reduce the mortality and morbidity<br />

associated with malnutrition.<br />

Other studies attempted to investigate the combination<br />

of several antioxidants as supplements (zinc, copper,<br />

selenium, vitamin A and E, etc.). It appears that, anti-oxidants<br />

work together to help protect the body from<br />

potentially harmful effects of free radicals (Gauche and<br />

Hausswirth, 2006). On the other hand, the malnourished<br />

group compared to the control group, showed a significant<br />

reduction of other various plasmatic parameters as<br />

vitamins A and E, proteins, apo-AI and trace element<br />

(Table 3). In accordance with our findings, a reduction of<br />

serum concentrations of albumins and vitamin E has<br />

been observed in Moroccan infants suffering from severe<br />

under nutrition (Squali et al., 2001). However, the<br />

concentration of TG which increases in these babies was<br />

found to be stable in our patients. A study on young<br />

Tunisian population suffering from stagnation reported a<br />

reduction of the apo-AI but not in the cholesterol, triglycerides,<br />

chol-LDL or chol-HDL concentrations (Sibeko et<br />

al., 2004).<br />

The alteration of the biological profile observed in the<br />

malnourished group can result from the insufficient food,<br />

the over loss and an unsatisfactory absorption. This can<br />

be the result, notably of a quantitative imbalance of feeding.<br />

A deficit in vitamin D (a favourable factor for calcium<br />

absorption) or an excess in phosphorus (accelerating<br />

calcium) can, for example, lead to a hypocalcaemia<br />

despite the resulted sufficient calcium. The resulted irons<br />

under a form of weak absorptions (such as vitamin C)<br />

can produce hyposideremy, even if the resulted iron is<br />

sufficient.<br />

Other markers of nutritional status, the haemoglobin<br />

and albumin levels were also reduced in malnourished<br />

group. At this stage, it is interesting to notice that, the<br />

mothers of these infants consume a lot of tea, which can<br />

aggravate anaemia, as reported in other surveys<br />

(Cournot and Hercberg, 1993; Hamdaoui et al., 1995).<br />

The change in the iron rate, observed in the malnourished<br />

group would then have started since the foetal<br />

stage as a result of an interaction of the mother’s state<br />

with that of foetus. This hypothesis could be seen as<br />

decrease in the rates of haemoglobins found in the<br />

mothers of the malnourished young.<br />

Our results show the existence of the relationship between<br />

the growth delay and the biological disturbance.<br />

Indeed, in the malnourished group, the ratio of weight/<br />

height correlated positively with some biological parameters<br />

as protein, albumin, prealbumin, vitamin A, vitamin<br />

E, iron, total Chol, TG and LDL Chol. Such effects were<br />

reported by other studies concerning young malnourished<br />

subjects. These people particularly showed a low rate of<br />

apo-AI (13 and 23) and a stable level of these parameters<br />

(Sibeko et al., 2004; Slimane et al., 1992; Truswell,<br />

1975). However, their apo-B remained unchanged<br />

(Sibeko et al., 2004).<br />

Conclusion<br />

Kamel et al. 4009<br />

The results of this study confirmed the impact of pregnant<br />

women nutritional state and breastfeeding on the infant<br />

and infant growth. Our data showed a significant alteration<br />

in the level of several anthropometric and biological<br />

parameters in the young malnourished when compared<br />

to the control. Such effects show the necessity of establishing<br />

a program to fight against the factors favouring<br />

malnutrition in our country. These results also show that,<br />

it is necessary to take the supplementation of antioxidants<br />

agents such as vitamins (A, E and C) and trace<br />

elements (calcium, magnesium, potassium and iron)<br />

during any nutritional rehabilitation program into consideration.<br />

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concentration of low-density lipoprotein cholesterol in plasma, without<br />

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Gauche E, Hausswirth CH (2006). Stress oxidant, complementation<br />

nutritionnelle en antioxydants et exercice.<br />

Golden MNH, Ramadath D (1987). Free radicals in the pathogenesis of<br />

kwashiorkor. Proc. Nutr. Soc. 46: 53-68.<br />

Hamdaoui M, Doghri T, Tritar B (1995). Effect of different levels of an<br />

ascorbic acid and tea Mixture on nonheme iron absorption from a<br />

typical Tunisian meal fed to healthy rats. Ann. Nutr. Metab. 39: 310-<br />

316.<br />

Hanson LA, Soderstrom T (1981). Human milk: defense against<br />

infection. Proc. Clin. Biol. Res. 61: 147-159.<br />

Houssaini FZS, Arnaud J, Richard MJ, Renversez JC, Favier A (1977).<br />

Evaluation du stress oxidant et des défenses antioxydantes chez<br />

l’enfant malnutri marocain. Ann. Nutr. Metab. 41: 149-59.<br />

Jacob E, Elmadfa I (1995). Rapid HPLC-Assay for assessment of<br />

vitamin K1, A, E and β-carotene status in children (7-19 years). Int. J.<br />

Vitam. Nutr. Res. 65: 31-35.<br />

Makonnen B, Venter A, Joubert G (2003). Randomized controlled study<br />

of the impact of dietary zinc supplementation in the management of<br />

children with protein-energy malnutrition in Lesotho. I: Mortality and<br />

morbidity. J. Trop. Pediat. 49(6): 340-352.<br />

Mc Laren DS, Shirajian A, Loshkajian H (1969). Short term prognosis in<br />

protein-caloric malnutrition. Am. J. Clin. Nutr. 22: 863-70.<br />

Moynihan P, Thomason M, Walls A, Gray-Donald K, Morais JA,<br />

Ghanem H, Wollen S, Ellis J, Steele J, Lund J, Feine J (2009).<br />

Researching the impact of oral health on diet and nutritional status:<br />

Methodological issues. J. Dentistry, 37(4): 237-249.<br />

Muller O, Garenne M, Reitmaier P, Van Zweeden AB, Kouyate B,


4010 Afr. J. Biotechnol.<br />

Becher H (2003). Effect of zinc supplementation on growth in West<br />

African children: a randomized double-blind placebo-controlle trial in<br />

rural Burkina Faso. Int. J. Epidemiol. 32(6): 1101-1104.<br />

Pelletier DL, Frongillo EA Jr, Schroeder DG, Habicht J-P (1995). The<br />

effects of malnutrition on child mortality in developing countries. Bull.<br />

WHO, 73: 443-448.<br />

Rahman MM, wahed MA, Fuchs GJ, Baqui A.H, Alvarez JO (2002).<br />

Synergistic effect of zinc and vitamin A on the biochemical indexes of<br />

vitamin A nutrition in children. Am. J. Clin. Nutr. 75(1): 92-98.<br />

Rubhana R, Swapan KR, Muhammad JR, Tasnim A, Syeda SA,<br />

Jobeyer C, Andersson J (2004). Effect of zinc supplementation on<br />

immune and inflammatory responses in pediatric patients with<br />

shigellosis. Am. J. Clin. 79: 444-450.<br />

Schulpis KH, Michalakakou K, Gavrili S, Karikas GA, Lazaropoulou C,<br />

Vlachos G, Bakoula C, Papassotiriou I (2004). Maternal-neonatal<br />

retinol and alpha-tocopherol serum concentrations in Greeks and<br />

Albanians. Acta Paediatr. 93(8): 1075-1080.<br />

Sibeko LN, Dhansay MA, Charlton KE, Johns T, Van Stuijvenberg ME,<br />

Gray donald K (2004). Full-term periurban South African infants<br />

under 6 months of age are at risk for early-onset anaemia. Public<br />

Health Nutr. 7(6): 813-820.<br />

Slimane MN, Ben ammar A, Hammami M, Pousse H, Ayadi A, Sfar MT,<br />

Kharrat H (1992). Diminution de l’apolipoprotéine A1 chez l’enfant<br />

Tunisien dénutri. Revue Française des corps gras, 39 è année, n°<br />

5/6:161-163.<br />

Squali Houssaini FZ, Foulon T, Payen N, Iraqi MR, Arnaud J,<br />

Groslambert P (2001). Plasma fatty acid status in Moroccan children:<br />

increased lipid peroxydation and impaired polyunsaturated fatty acid<br />

metabolism in protein-calorie malnutrition. Biomed. Pharmacother.<br />

55(3): 155-162.<br />

Truswell AS (1975). Lipid metabolism in protein caloric malnutrition, In:<br />

PCM (OLSON ed), pp. 114-123.


African Journal of Biotechnology Vol. 10(20), pp. 4011-4017, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1520<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Isolation and molecular characterization of RcSERK1: A<br />

Rosa canina gene transcriptionally induced during<br />

initiation of protocorm-like bodies<br />

Xu Kedong 1 , Liu Qinglin 2 , Yang Huifang 1 , Zeng Li 3 , Dong Lili 1 , Liu Fengluan 1 , Bi Ling 1 , Ma<br />

Nan 1 and Zhao Liangjun 1 *<br />

1 Department of Ornamental Horticulture and Landscape Architecture, China Agricultural University, 2 Yuanmingyuan<br />

West Road, Haidian District, Beijing 100193, People’s Republic of China.<br />

2 Department of Landscape Architecture, Sichuan Agricultural University, Ya'an, Sichuan 625014, People’s Republic of<br />

China.<br />

3 Agricultural and Biological College of Shanghai Jiaotong University, Shanghai 200240, People’s Republic of China.<br />

Accepted 20 January, 2011<br />

A somatic embryogensis receptor-like kinase (SERK) gene was isolated from protocorm-like bodies<br />

(PLBs) of Rosa canina by a rapid amplification of cDNA ends (RACE) approach and was designated as<br />

RcSERK1. The RcSERK1 encodes a protein of 626 amino acid residues with a calculated molecular<br />

mass of 68.79 kDa and theoretical isoelectric point of 5.65. The amino acid sequence of RcSERK1<br />

shares all the characteristic features of a SERK protein, including the signal peptide (SP), the leucine<br />

zipper (LZ), the five leucine-rich repeats (LRRs), the pro-rich domain containing the so-called Ser-Pro-<br />

Pro (SPP) motif, the transmembrane domain (TM), the kinase domain and the C-terminal domain. The<br />

transcripts of RcSERK1 were more enriched in PLBs than in rhizoids and callus, but not detected in<br />

leaflets (incubated under dark and before producing callus) and the regenerated shoots. Subcellular<br />

localization indicated that the fluorescence of RcSERK1-GFP was recorded in the plasma membrane.<br />

We argue that RcSERK1 is a Leu-rich repeat receptor-like kinase (LRR-RLK) and plasma membrane<br />

localization protein.<br />

Keywords: somatic embryogensis receptor-like kinase (SERK)1, protocorm-like bodies (PLBs), Rosa canina,<br />

RACE, RcSERK1.<br />

INTRODUCTION<br />

Somatic embryogensis receptor-like kinase (SERK)<br />

genes encode leucine-rich repeat receptor-like kinases<br />

*Corresponding author. E-mail: zhaolj5073@sina.com. Tel: +86-<br />

10-62733315. Fax: +86-10-62733603.<br />

Abbreviations: EX, Extracellular domain; LRRs, leucine-rich<br />

repeats; LRR-RLK, leucine-rich repeat receptor-like kinase; LZ,<br />

leucine zipper; PLBs, protocorm-like bodies; UTR, untranslated<br />

region; SE, somatic embryogenesis; SERK, somatic<br />

embryogenesis receptor-like kinase; SP, signal peptide; SPP,<br />

serine-proline-proline; TDZ, thidiazuron; TM, transmembrane<br />

domain; RACE, rapid amplification of cDNA ends; CaMV,<br />

cauliflower mosaic virus; PCR, polymerase chain reaction; RT-<br />

PCR, reverse transcriptase-PCR.<br />

(LRR-RLKs) (Schmidt et al., 1997; Hecht et al., 2001),<br />

and SERKs share the canonical structure of LRR-RLKs<br />

but have a limited number of leucine-rich repeat (LRR)<br />

motifs (Colcombet et al., 2005). The first SERK gene<br />

identified was reported in carrot (Daucus carota) suspension<br />

cultures where it was specifically expressed in<br />

cells which developed into somatic embryos (Schmidt et<br />

al., 1997; Nolan et al., 2009). SERK genes have been<br />

isolated from several plant species including Arabidopsis<br />

thaliana (Hecht et al., 2001), Zea mays (Baudino et al.,<br />

2001), Medicago truncatula (Nolan et al., 2003),<br />

Helianthus annuus (Thomas et al., 2004), Ocotea<br />

catharinensis (Santa-Catarina et al., 2004), Dactylis<br />

glomerata (Somleva et al., 2000), Citrus unshiu (Shimada<br />

et al., 2005), Oryza sativa (Hu et al., 2005) and<br />

Theobroma cacao (Santos et al., 2005). Ectopic expres-


sion of the full-length AtSERK1 cDNA under the control of<br />

the cauliflower mosaic virus (CaMV) 35S promoter did<br />

not result in any altered plant phenotype. However, seedlings<br />

that overexpressed the AtSERK1 mRNA exhibited a<br />

3- to 4-fold increase in efficiency for initiation of somatic<br />

embryogenesis (Hecht et al., 2001). AtSERK1 and<br />

AtSERK2 receptor kinases function together as an<br />

important control point for sporophytic development controlling<br />

male gametophyte production (Colcombet et al.,<br />

2005). Fradin et al. (2009) indicated that tomato<br />

SERK3/BAK1 physically associates with the RLP Ve1 to<br />

initiate verticillium immunity.<br />

Somatic embryogensis receptor-like kinase (SERKs)<br />

form a sub-group among LRR-RLKs, which comprise the<br />

largest sub-family of RLKs in plants, and are involved in<br />

key plant developmental processes. SERK genes were<br />

isolated in several plant species suggesting the ubiquitous<br />

presence of a small SERK gene family in all plants,<br />

and moreover, their functional conservation with a<br />

specific role in embryogenesis, and possibly other developmental<br />

processes (Nolan et al., 2009).<br />

We have successfully established a high efficiency<br />

somatic embryogenesis (SE) system of Rosa canina,<br />

which is an important ornamental plant widely grown in<br />

the world, whose protocorm-like bodies (PLBs) were<br />

induced from rhizoids by thidiazuron (TDZ) using leaflets<br />

of tissue cultured seedlings. PLBs were also considered<br />

to be somatic embryos, with an intermediary callus formation,<br />

which sometimes is a prerequisite for PLBs<br />

formation (Tian et al., 2008). We have studied the<br />

development process, morphological characteristics and<br />

microscopic structure of PLBs when compared with that<br />

of somatic embryos from other plants, and we found that<br />

PLBs were embryo aggregates, which were coated by<br />

cellular tissues (Tian et al., 2008).<br />

In this study, we isolated and characterized a LRR-RLK<br />

gene, designated as RcSERK1. And our analyses suggested<br />

that RcSERK1 was orthologous to other plant<br />

SERKs, and the possible role of RcSERK1 would be<br />

crucial for the explanation of somatic embryogenesis<br />

(SE) of R. canina.<br />

MATERIALS AND METHODS<br />

Plant materials<br />

Leaflets, callus, rhizoids, PLBs and the regenerated shoots of R.<br />

canina were collected separately. All samples of plants were frozen<br />

immediately in liquid nitrogen and stored at -80°C for RNA extraction.<br />

Isolation of the RcSERK1 gene<br />

Polymerase chain reaction (PCR) was performed to obtain a partial<br />

sequence of RcSERK1 by using the first strand cDNA of R. canina<br />

as a template. With multiple sequence alignment of related SERK<br />

base sequences, two degenerate primers corresponding to the<br />

amino acid sequences, FKS1 sequence (5'-GTGAAY(C/T)<br />

Kedong et al. 4012<br />

CCTTGCACATGGTTY(C/T)CATGT-3') and RKS1 sequence (5'-<br />

ATGGAR(A/G)TACAAGGAR(A/G)ACCCAR(A/G)GTH(A/T/C)ACA-<br />

3') were used for the PCR of partial sequence. The AUAP primer<br />

(5’-GGCCACGCGTCGACTAGTAC-3’) and another primer<br />

corresponding to the FKS2 sequence (5'-TAATGGCAGCGTT<br />

GCCTCAGTT-3') were used for 3’ RACE. Primers for 5' RACE<br />

were: AAP sequence, 5'-GGCCACGCGTCGACTAGTA CGGGII<br />

GGGIIGGGIIG-3' and RK5-1 sequence, 5'-TGGTGCTGCTTTA<br />

CTATTTGCTGCC-3', for the first polymerase chain reaction (PCR).<br />

And the second PCR primers were: AUAP and RK5-1.<br />

The RACE reactions were performed according to the<br />

manufacturer’s protocol (Invitrogen RACE cDNA amplification kit,<br />

USA). We obtained a single full-length cDNA sequence by combining<br />

the 5'-RACE fragment, a partial fragment and C-terminal<br />

fragment. Finally, a pair of primers (FK1: 5'-TGGGGTGGTGGT<br />

GAGAACAGGCTTTGG-3' and RK1: 5'-ACCGCCGCAAATGA<br />

TACAAC TTGC-3') were then designed from the putative 5' and 3'<br />

untranslated region (UTR) of the full-length cDNA sequence. An<br />

1881bp putative RcSERK1 fragment was generated. The nucleotide<br />

sequences of RcSERK1 reported in this paper have been<br />

submitted to the GenBank under accession numbers: HM802242.<br />

The resultant DNA fragments and RACE products were gel purified<br />

and cloned into the pMD18-T vector (Takara) and sequenced<br />

(Invitrogen, Beijing).<br />

RNA isolation, DNase treatment and semi-quantitative reverse<br />

transcription polymerase chain reaction (RT-PCR) assay<br />

Total RNA from various R. canina tissues was extracted using<br />

RN09-EASY spin Kit (Biomed, Beijing, China) according to the<br />

manufacturer’s instructions. Total RNA preparations were subjected<br />

to an on-column DNase digestion, while simultaneously performing<br />

RNA clean-up, using a Qiagen RNase-Free DNase-Set and Qiagen<br />

RNeasy RNA Clean-up Midi Kit (Qiagen, Germany). The first strand<br />

cDNA was synthesized with 1 µg total RNA and 1 µl superscriptII<br />

enzyme (Invitrogen, USA) according to the manufacturer’s protocol.<br />

As a control, the 18s rRNA gene (Genbank accession number:<br />

FM164424.1) was amplified from various R. canina tissues. The<br />

primers used for detecting RcSERK1 gene expression were: forward<br />

primer 5'-CGTCGCTCATCCCTTATGGATCAT-3' and reverse<br />

primer 5'-AGAATTCGGATGAGGAGCTAATTC-3'. The PCR was<br />

performed as follow: pre-denaturation at 94°C for 5 min, followed by<br />

35 cycles of 45 s at 94°C, 45 s at 55°C, 2 min at 72°C for<br />

RcSERK1, 28 cycles for 18s rRNA and a final extension of 10 min<br />

at 72°C. The amplified products were resolved on a 1.2% agarose<br />

gel and then detected by agarose gel electrophoresis. All RT-PCR<br />

experiments were repeated at least three times.<br />

Sequence alignment and phylogenetic tree analysis<br />

The sequence alignment of RcSERK1 and other SERK amino acid<br />

sequences were compared by DNAMAN (ver 5.2.2) and the<br />

phylogenetic tree was constructed by neighbor-joining method with<br />

MEGA program (ver 4.0).<br />

Subcellular localization<br />

The RcSERK1 open reading frame (ORF) were cloned into the Hind<br />

III and SmaI sites of the pSAT6-GFP-N1 vector. This vector<br />

contains a modified red-shifted (green fluorescent protein, GFP) at<br />

NcoI-XbaI sites. The RcSERK1-GFP construct was transformed<br />

into onion epidermal cells by particle bombardment as described<br />

earlier (Wang and Fang, 2002). The transient expression of the<br />

RcSERK1-GFP fusion protein was observed using confocal<br />

microscopy.


4013 Afr. J. Biotechnol.<br />

RESULTS<br />

Figure 1. Nucleotide and deduced amino acid sequences of RcSERK1 (GenBank No. HM802242). The canonical<br />

structure of the RcSERK1 proteins is the presence of the extracellular SPP motif in combination with precisely five<br />

LRRs, which is underlined.<br />

Isolation of the RcSERK1 gene from PLBs of R.<br />

canina<br />

Using the homologous regions of the SERK1 genes, a<br />

partial cDNA was isolated from PLBs of R. canina by<br />

using degenerate PCR. The full-length cDNAs were ob-<br />

tained by employing rapid amplification of the 3'-cDNA<br />

end (3'-RACE) and the 5'-cDNA end (5'-RACE), and were<br />

designated as RcSERK1 (Genbank accession No.<br />

HM802242). Sequence analysis showed that the<br />

RcSERK1 cDNA was 2438 bp in length, including a complete<br />

ORF of 1881 bp flanking with a 5'-UTR of 301 bp<br />

and a 3'-UTR of 256 bp (Figure 1). The predicted protein<br />

of RcSERK1 comprises 626 amino acids with a calculated


Kedong et al. 4014<br />

Figure 2. The alignment of the identified RcSERK1 with other plant SERK proteins including the SP, LZ, five LRRs, SPP motif,<br />

TM, kinase domain (DI to DXI) and the C-terminal domain. Positions containing identical residues are shaded in navy blue,<br />

while conservative residues are shaded in pink.<br />

molecular mass of 68.79 kDa and its theoretical isoelectric<br />

point was 5.65.<br />

As shown in the Figure 2 alignment, RcSERK1 belongs<br />

to the LRR-type cell surface RLKs, which possess a<br />

number of characteristic domains. These include an<br />

extracellular domain (EX) containing a variable number of<br />

LRR units immediately followed by a single transmembrane<br />

domain (TM) and an intracellular kinase<br />

domain responsible for phosphorylating downstream<br />

proteins (Hecht et al., 2001). The amino acid sequence of<br />

RcSERK1 shows a high percentage of identity with<br />

AtSERK1 (88.52%) and DcSERK (77.32%). The<br />

predicted protein structure of the RcSERK1 protein<br />

shares all the characteristic features of that protein, and<br />

starts at the N-terminus with a signal peptide (SP) followed<br />

by a LZ, the five LRRs, a pro-rich domain called the<br />

serine-proline-proline (SPP), a single TM, the 11<br />

conserved subdomains of a Ser-Thr kinase and a Cterminal<br />

leu-rich domain (Hanks et al., 1988). The hallmark<br />

of the SERK proteins is the presence of the extracellular<br />

Ser-Pro-Pro motif in combination with precisely<br />

five LRRs (Albrechta et al., 2005). Upon comparison of


4015 Afr. J. Biotechnol.<br />

Figure 3. Phylogenetic tree analysis of RcSERK1 and other plant SERK proteins. The tree<br />

was constructed by neighbor-joining method with MEGA program (ver 4.0). Branch numbers<br />

represent percentage of bootstrap values in 1000 sampling replicates and scale indicates<br />

branch lengths. The accession numbers are as follows: CsSERK (Citrus sinensis)<br />

(FJ851422), CuSERK (Citrus unshiu) (AB115767), RcSERK1 (R. canina) (HM802242),<br />

StSERK (Solanum tuberosum) (EF175215), AtSERK1 (Arabidopsis thaliana) (NM_105841),<br />

AtSERK2 (A. thaliana) (AF384969), AtSERK3 (A. thaliana) (AF384970), DcSERK (Daucus<br />

carota) (DCU93048), CnSERK (Cocos nucifera) (AY791293), ZmSERK1 (Zea mays)<br />

(NM_001111662), ZmSERK2 (Z. mays) (NM_001111663), OsSERK1 (Oryza sativa)<br />

(AY652735) and PtSERK (Populus tomentosa) (DQ680855).<br />

the amino acid sequences with other species, it was<br />

found that RcSERK1 had very high identity including the<br />

LZ, LRRs, SPP motif, TM, kinase domain and the Cterminal<br />

domain, except for the SP (Figure 2).<br />

We chose herbaceous and woody dicots and monocots,<br />

with different families and genera, to investigate the<br />

evolutionary relationship among plant SERK proteins. A<br />

phylogenetic tree (Figure 3) was constructed using the<br />

neighbor-joining method with the full-length amino acid<br />

residues. The results showed that RcSERK1 was tightly<br />

clustered with CsSERK and CuSERK, and StSERK were<br />

grouped into a cluster, and henceforth, designated as<br />

RcSERK1, whereas AtSERK1 and AtSERK2 formed<br />

another cluster.<br />

Expression analysis of RcSERK1<br />

The expression profiles of RcSERK1 gene in various R.<br />

canina tissues were investigated using a semi-quantitative<br />

RT-PCR assay. Various tissues were respectively<br />

collected, as described in materials and methods.<br />

RcSERK1 mRNA was detected in PLBs, callus and<br />

rhizoids, but not in leaflets and the regenerated shoots,<br />

and mainly in the PLBs but weak in the callus and rhizoids<br />

(Figure 4).<br />

Localization of RcSERK1 in the plasma membrane<br />

To examine subcellular localization of RcSERK1 protein,<br />

the RcSERK1-GFP fusion protein was introduced into<br />

onion epidermal cells by particle bombardment. As<br />

shown in Figure 5, the RcSERK1-GFP fusion protein was<br />

recorded in the plasma membrane, whereas the control<br />

GFP alone was distributed throughout the cytoplasm.<br />

These results show that the RcSERK1 protein is a plasma<br />

membrane localized protein.<br />

DISCUSSION<br />

In this study, a LRR-RLK gene RcSERK1 has been<br />

isolated from PLBs of R. canina, and its expression has<br />

been investigated in leaflets, callus, rhizoids, PLBs and<br />

the regenerated shoots. To our knowledge, this is the first


Figure 4. Expression patterns of RcSERK1 in different tissues.<br />

Expression patterns of RcSERK1 in leaflets (LEA), callus (CAL), rhizoids<br />

(RHI), PLBs (PLB) and the regenerated shoots (REG). Ethidium bromide<br />

staining of PCR products using RcSERK1-specific primers with (top) and<br />

without (middle) prior reverse transcription and the RT-PCR products with<br />

18S rRNA-specific primers (bottom).<br />

Kedong et al. 4016<br />

Figure 5. RcSERK1 localizes to the plasma membrane. Onion epidermal cells were transformed with 35S::GFP and<br />

35S::RcSERK1-GFP. Transformed cells in the bright light (A and E), in the dark for cell nucleuses stained with DAPI (B and F),<br />

in the dark for the GFP-fusion proteins (C and G) and the merge of A, B and C (D) / E, F and G (H) were visualized, after<br />

incubation for 20 h.<br />

Report of cloning of a SERK gene in R. canina and the<br />

study of its expression.<br />

Sequence analysis of RcSERK1 revealed high levels of<br />

similarity to other plant species of SERKs, and it contains<br />

the signal peptide (SP), the leucine zipper (LZ), the five<br />

leucine-rich repeats (LRRs), the pro-rich domain containing<br />

two tandemly repeated SPP sequences, the TM,<br />

the kinase domain and the C-terminal domain. Its sub-<br />

cellular location was verified as a membrane protein,<br />

consistent with previous reports (Shah et al., 2001), and<br />

implied the role of RcSERK1 as a functional gene. The<br />

sequence alignment and phylogenetic tree analysis both<br />

were consistent with RcSERK1 being a functional SERK<br />

orthologue, for the hallmark of the SERK proteins is the<br />

presence of the extracellular SPP motif in combination<br />

with precisely five LRRs.


4017 Afr. J. Biotechnol.<br />

Furthermore, RcSERK1 clustered most closely with<br />

SERK gene family members such as CsSERK1, CuSER-<br />

K1, AtSERK1 and StSERK, which is implicated in<br />

evoking somatic embryogenesis. Monitoring of SERK1<br />

expression during progression of R. canina SE revealed<br />

RcSERK1 expression not only in PLBs, but also in callus<br />

and rhizoids, however, not detected in leaflets and the<br />

regenerated shoots. It showed that RcSERK1 was<br />

expressed at the beginning of the callus of leaves in vitro,<br />

but under artificial stress-induced, such as dark and 2,4dichloro-phenoxyacetic<br />

acid (2,4-D), and then<br />

disappeared at the stage of protocorm-like bodies<br />

(PLBs). So expression analysis suggests that the isolated<br />

RcSERK1 could be a functional SERK orthologue and an<br />

important embryogenic correlation factor. Transformation<br />

of the RcSERK1 into plants and further analysis should<br />

reveal its possible functions in SE of R. canina.<br />

ACKNOWLEDGEMENTS<br />

This research was supported by the Surface Project from<br />

National Natural Science Foundation of China (Grant No.<br />

30871733)<br />

REFERENCES<br />

Albrechta C, Russinovaa E, Hechtb V, Baaijensa E, Vries S (2005). The<br />

Arabidopsis thaliana Somatic Embryogenesis Receptor-Like<br />

Kinases1 and 2 control male sporogenesis. Plant Cell, 17: 3337-<br />

3349.<br />

Baudino S, Hansen S, Brettschneider R, Hecht VRG, Dresselhaus T,<br />

Lorz H, Dumas C, Rogowsky PM (2001). Molecular characterization<br />

of two novel maize LRR receptor-like kinases, which belong to the<br />

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(2005). Arabidopsis Somatic Embryogenesis Receptor Kinases1 and<br />

2 are essential for tapetum development and microspore maturation.<br />

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Liu CM, Thomma BPHJ (2009). Genetic dissection of verticillium wilt<br />

resistance mediated by tomato Ve1. Plant Physiology, 320-332.<br />

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conserved features and deduced phylogeny of the catalytic domains.<br />

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Hecht V, Vielle-Calzada JP, Hartog MV, Schmidt DL, Boutilier K,<br />

Grossniklaus U, de Vries SC (2001). The arabidopsis somatic<br />

embryogenesis receptor kinase 1 gene is expressed in developing<br />

ovules and embryos and enhances embryogenic competence in<br />

culture. Plant Physiol. 127: 803-816.<br />

Hu H, Xiong L, Yang Y (2005). Rice SERK1 gene positively regulates<br />

somatic embryogenesis of cultured cell and host defense response<br />

against fungal infection. Planta, 222: 107-117.<br />

Nolan KE, Irwanto RR, Rose RJ (2003). Auxin up-regulates MtSERK1<br />

expression in both Medicago truncatula root-forming and<br />

embryogenic cultures. Plant Physiol. 133: 218-230.<br />

Nolan KE, Kurdyukov S, Rose RJ (2009). Expression of the Somatic<br />

Embryogenesis Receptorlike Kinase1 (Serk1) gene is associated with<br />

developmental change in the life cycle of the model legume<br />

Medicago truncatula. J. Exp. Bot. 60: 1759-1771.<br />

Santa-Catarina C, Hanai LR, Dornelas MC, Viana AM, Floh EIS (2004).<br />

SERK gene homolog expression, polyamines and amino acids<br />

associated with somatic embryogenic competence of Ocotea<br />

catharinensis Mez. (Lauraceae). Plant Cell, Tissue Organ Culture,<br />

79: 53-61.<br />

Santos MO, Romanoa E, Yotokoc KSC, Tinoco MLP, Diasa BBA,<br />

Araga˜oa FJL (2005). Characterisation of the cacao somatic<br />

embryogenesis receptor-like kinase (SERK) gene expressed during<br />

somatic embryogenesis. Plant Sci. 168: 723-729.<br />

Schmidt DL, Guzzo F, Toonen MAJ, de Vries SC (1997). A leucine-rich<br />

repeat containing receptor-like kinase marks somatic plant cells<br />

competent to form embryos. Development, 124: 2049-2062.<br />

Shah K, Gadella Jr TWJ, van Erp H, Hecht V, de Vries SC (2001).<br />

Subcellular localization and oligomerization of the Arabidopsis<br />

thaliana somatic embryogenesis receptor kinase 1 protein. J. Mol.<br />

Biol. 309: 641-655.<br />

Shimada T, Hirabayashi T, Endo T, Fujii H, Kita M, Omura M (2005).<br />

Isolation and characterization of the somatic embryogenesis<br />

receptor-like kinase gene homologue (CitSERK1) from Citrus unshiu<br />

Marc. Scientia Horticulturae, 103: 233-238.<br />

Somleva MN, Schmidt EDL, de Vries SC (2000). Embryogenic cells in<br />

Dactylis glomerata L. (Poaceae) explants indentified by cell tracking<br />

and by SERK expression. Plant Cell Rep. 19: 718-726.<br />

Thomas C, Meyer D, Himber C, Steinmetz A (2004). Spatial expression<br />

of a sunflower SERK gene during induction of somatic<br />

embryogenesis and shoot organogenesis. Plant Physiol. Biochem.<br />

42: 35-42.<br />

Tian CW, Chen Y, Zhao XL, Zhao LJ (2008). Plant regeneration through<br />

protocorm-like bodies induced from rhizoids using leaf explants of<br />

Rosa spp. Plant Cell Rep. 27: 823-831.<br />

Wang GL, Fang HY (2002). Gene engineering in plant (the 2nd edition).<br />

Beijing: China Science Press, Beijing, pp. 734-736.


African Journal of Biotechnology Vol. 10(20), pp. 4018-4023, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2363<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Molecular cloning and expression of the luciferase<br />

coding genes of Vibrio fischeri<br />

Golnaz Asaadi Tehrani 1 , Sina Mirzaahmadi 1 , Mojgan Bandehpour 2 , Faramarz Laloei 3 , Akram<br />

Eidi 1 , Toraj Valinasab 3 and Bahram Kazemi 2,4 *<br />

1 Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.<br />

2 Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br />

3 Iranian Fisheries Research Organization, Ecology research center of the Caspian Sea, Sari, Iran.<br />

4 Department of Biotechnology Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br />

Accepted 7 April, 2011<br />

Vibrio fischeri is a symbiotic marine bacterium and a nonpathogenic member of the Vibrionaceae which<br />

produces luminescence by expressing the lux operon. The lux operon encoding luciferase (luxAB) and<br />

proteins required to synthesize the aldehyde substrate (luxCDE), is controlled with luxR and luxI. In this<br />

study, we amplified the chromosomal fragment contains luxAB of V. fischeri, amplified fragment cloned<br />

into the pTZ57R vector and sequencing to confirmed the fragment. The sub cloning of luxAB gene was<br />

carried out in the pETDuet-1 expression vector and expression procedures were performed in<br />

Escherichia coli strain Nova blue. As a result, a 2046 bp fragment which contains the whole fragment of<br />

luciferase coding genes and intergenic sequences were cloned in pETDuet-1 expression vector.<br />

pETDuet luxAB recombinant plasmid was confirmed by restriction analysis; subsequently 76 kD<br />

expressed protein was detected using SDS–PAGE and western blot using specific polyclonal antibody.<br />

In this study, cloning of the luciferase coding genes was performed successfully, in which the<br />

synthesized construct can be applied as a reporter cassette in prokaryotic systems and as a marker or<br />

tag in the manipulation, and the control of gene expression in the fields of research, production, control<br />

of microorganism and other biotechnological applications.<br />

Key words: Vibrio fischeri, lux operon, luciferase, luminescence.<br />

INTRODUCTION<br />

Vibrio fischeri is a marine bioluminescence bacterium and<br />

a nonpathogenic member of the Vibrionaceae, a large<br />

family of marine γ –proteobacteria, (Thompson et al.,<br />

2004) it lives both as a free living organism and also as a<br />

symbiotic in the light-emitting organs of the Hawaiian<br />

bobtail squid, Euprymna scolopes, where it produces<br />

luminescence by expressing the lux operon (Nyholm and<br />

Mcfall-Ngai, 2004; Ruby, 1999; Visick and Mcfall-Ngai,<br />

2000). In seawater and free-living form, V. fischeri exists<br />

at low cell densities and appear to be non-luminescent,<br />

while in light organ symbiosis with fish and squid, where<br />

the density of V. fischeri cells is high, it is usually lumine-<br />

*Corresponding author. E-mail: Bahram_14@yahoo.com. Tel:<br />

+9821 22439957. Fax: +98 21 22439956.<br />

scent (Sitnikov et al., 1995). In the best studied luminous<br />

bacterium, V. fischeri, there are at least eight lux genes<br />

encoding the proteins essential for luminescence. The lux<br />

regulon is organized in two operons with a divergent<br />

transcription pattern. The seven genes (luxICDABEG),<br />

followed by a transcriptional terminator comprise the<br />

rightward operon, which encode the enzymes required for<br />

the synthesis of the autoinducer (luxI) and the alpha<br />

(luxA) and beta (luxB) subunits of the enzyme luciferase,<br />

the luxC, luxD and luxE genes encode the enzymes<br />

participating in the formation of the long-chain aldehyde,<br />

luxG is not essential for luminescence but is believed to<br />

increase the capacity of the cell to synthesize flavin<br />

mononucleotide (FMN). The leftward operon consists of a<br />

single gene, LuxR, encoding the transcriptional regulatory<br />

protein (Figure 1) (Visick et al., 2000). Bacterial luciferase<br />

is a heterodimeric enzyme of 77 kDa comprising α and β


Tehrani et al. 4019<br />

Figure 1. Luciferase gene organization in v. fischeri: Structural genes contain, luxA and luxB, luxC, luxD, luxE and<br />

regulatory genes contain, luxI and luxR.<br />

Figure 2. The reaction of bacterial luciferase.<br />

subunits with approximate molecular size of 40 and 37<br />

kDa, respectively. Amino acid sequence alignment<br />

between the two subunits reveals that, they share 32%<br />

sequence identity. The α subunit contains 29 additional<br />

amino acid residues inserted between residues 258 and<br />

259 of the β subunit, indicating that the two genes have<br />

arisen by gene duplication through the course of<br />

evolution. There is a single active center in the luciferase<br />

heterodimer that resides on α subunit and binds one<br />

reduced flavin molecule. It seems that, β subunit is<br />

essential for a high quantum yield reaction (Baldwin et<br />

al., 1995; Fisher et al., 1996).<br />

In the luminescence reaction, luciferase converts<br />

aliphatic-aldehyde substrate, oxygen and reduced FMN<br />

(FMNH2) into the corresponding aliphatic acid, water and<br />

FMN, with the concomitant production of light (Figure 2).<br />

In the absence of the aldehyde substrate, luciferase<br />

catalyzes a reaction that yields no light and produces<br />

oxygen radicals rather than water (Nelson et al., 2007).<br />

Luminescence in V. fischeri is controlled by a<br />

population density- responsive regulatory mechanism<br />

called quorum sensing (Dunlap, 1999). At low cell<br />

population density, LuxI synthesizes only basal levels of<br />

the signal, 3-oxohexanoyl L-homoserine lactone (N3-oxo-<br />

C6-HSL); however, with increasing cell density the signal<br />

molecule accumulates to reach a threshold concentration<br />

that can bind to LuxR. The LuxR-AHL complex directly<br />

activates transcription of the luxICDABEG genes and<br />

resulting light production. V. fischeri cells also synthesize<br />

a second autoinducer molecule, octanoyl L-homoserine<br />

lactone (C8- HSL), that under some conditions it may<br />

stimulate transcription of the lux genes (Fuqua et al.,<br />

1994; Milton, 2006; Ulitzur, 1998; Waters and Bassler,<br />

2005). The V. fischeri transcriptional regulator, LitR also<br />

participates in luminescence regulation by inducing the<br />

transcription of luxR, particularly at low cell densities<br />

(Lupp et al., 2003).<br />

The aim of the current study was to clone the alpha<br />

(luxA) and beta (luxB) subunits of the enzyme luciferase<br />

gene in a suitable prokaryotic expression vector in order<br />

to express and produce the desired protein in Escherichia<br />

coli and it can be used as a reporter gene construct for<br />

further biological and biotechnological applications.<br />

Moreover, purification and testing the biological activities<br />

along with comparison with other reporter gene systems<br />

or other constructs which carry luciferase genes will be<br />

the next goals of this research work.<br />

MATERIALS AND METHODS<br />

Bacterial strains and plasmids<br />

V. fischeri strain, ATCC 7744 was kindly provided by Iranian<br />

Research Organization for Science and Technology (IROST) which<br />

was grown at 20 to 25°C. Nutrient media used for the growth of V.<br />

fischeri was DSMZ medium 246 that contained artificial seawater<br />

(750.0 ml), peptone (10.0 g), beef extract (10.0 g) and water (250.0<br />

ml). The ingredients of artificial sea water were NaCl (28.13 g), KCl<br />

(0.77 g), CaCl2 × 2H20(1.60 g), MgCl2 × 6H20(4.80 g), NaHCO3<br />

(0.11 g), MgSO4 × 7H20(3.50 g) in 1000.0 ml distilled water. Cloning<br />

vector pTZ57R (2.8 kb) and expression vector pETDuet-1(5.4 kb)<br />

were obtained from Fermentase and Novagene, respectively.<br />

Genomic DNA extraction, PCR and sequencing<br />

Genomic DNA extraction was carried out by Phenol-chloroform<br />

procedure and precipitated in ethanol (Sambrook and Russell,<br />

2001). Sense and antisense oligonucleotide primers were designed<br />

(Table 1) based on the nucleotide sequence data of luxA and luxB<br />

obtained from Gene Bank (NC_006841.1 for luxA and<br />

NC_006841.2 for luxB). PCR reaction mixture (30 µl) contained, 1<br />

µg DNA 0.1 mM dNTPs, 1.5 mM MgCl2, 1X PCR buffer, 20 pmol of<br />

each primers and 1.25 units Taq DNA polymerase (CinnaGen,<br />

Iran).<br />

PCR amplification was performed under the following condition:<br />

denaturation step; 5 min at 94°C followed by 30 cycles of 40 s at<br />

94°C, 60 s at 51°C in the annealing step and 60 s at 72°C for the<br />

extension step. The resulting PCR product was extended for a<br />

further 5 min at 72°C. The PCR product was analyzed on a 1.5%<br />

agarose gel and purified by using DNA extraction kit (Fermentase<br />

Lithuania) according to the manufacturer’s instructions and


4020 Afr. J. Biotechnol.<br />

Table 1. Primers for amplifying lux genes by PCR.<br />

subjected to sequencing using dideoxynucleotide chain termination<br />

method.<br />

Construction of recombinant plasmids pETDuet-luxAB<br />

To construct luminescent E. coli, purified PCR product of luxAB<br />

gene was ligated to a 3´ T tailed EcoRV digested pTZ57R (Gaastra<br />

and Hansen, 1984) and transformed in E. coli TOP10 competent<br />

cells as described previously (Hanahan, 1983). Recombinant<br />

clones were confirmed by universal PCR and restriction enzyme<br />

digestion analysis .The luxAB gene was released by BamH1 and<br />

Kpn1 digestion and subcloned in to the pETDuet-1 expression<br />

vector.<br />

Protein expression<br />

PETDuet-luxAB was transformed in E. coli Nova blue strain and<br />

selected on LB agar containing 50 µg/lm of ampicilin. A bacterial<br />

colony was inoculated into a medium (1.2% Bacto tryptone, 2.4%<br />

yeast extract, 0.04% glycerol, 1% M9 salts (6.4% Na2HPO4-7H20,<br />

1.5% KH2PO4, 0.025% NaCl, 0.05% NH4Cl)) and incubated<br />

overnight at 37°C in a shaker incubator at 200 rpm. The overnight<br />

cultured bacteria was inoculated into a 50 ml flask and incubated at<br />

37°C on orbital shaker incubator at 200 rpm. Cultures in logarithmic<br />

phase (at OD600 of 0.6) were induced with IPTG (0.5 mM) and<br />

samples were collected before and after induction (0, 3 and 5 h),<br />

cells were lysed in 2x sample buffer (100 mM Tris-HCl pH 8, 20%<br />

glycerol, 4% SDS, 2% beta mercaptoethanol, 0.2% bromo phenol<br />

blue) and separated by 12% SDS-PAGE. The gel was stained by<br />

Coomassie brilliant blue R250 and gene expression analyzed in<br />

comparison with uninduced control samples in parallel (Smith,<br />

1984).<br />

Western blot analysis using antibody<br />

For western blot analysis, cell lysate was separated on 12% (v/v)<br />

SDS-PAGE and electrophoretically transferred onto nitrocellulose<br />

membrane, after UV cross linking for protein fixation; the membrane<br />

was blocked with 3% BSA at room temperature. The bacterial<br />

luciferase antibody (HRP) (Abcam, UK) was used as specific<br />

antibody in 1:1000 of the protein band was performed by DAB<br />

(Diamino benzoic acid) and H202 (Shewry and Fido, 1998).<br />

RESULTS<br />

A DNA fragment encoding the luxAB part of lux operon<br />

was amplified by PCR using sense and antisense<br />

primers, specific restriction sites for BamH1 and Kpn1<br />

were introduced into 5´ end of forward and reverse<br />

primer, respectively. The PCR product was analyzed<br />

in1.5% agarose gel after electrophoresis (Figure 3).<br />

LuxAB Primer<br />

Forward (FluxA) GGATCCATGAAGTTTGGAAATATTTG<br />

Reverse (RluxB) GGTACCTTAAGGCAGATTCTTTTC<br />

The primers are presented from 5ʹ to 3ʹ ends; the introduced restriction<br />

sites are underlined.<br />

The PCR product of luxAB was purified from agarose gel<br />

using Fermentase kit and ligated into cleaved pTZ57R<br />

cloning vector. Following the confirmation of the cloned<br />

luciferase coding genes by sequencing, using BamH1,<br />

Kpn1 restriction enzymes pTZ57R/luxAB plasmid was<br />

digested, a 2046 bp DNA fragment purified, ligated into<br />

the BamH1, Kpn1 sites of an expression vector<br />

(pETDuet-1) and transformed into E. coli TOP10;<br />

recombinant plasmid was confirmed through restriction<br />

digestion using BamH1 and Kpn1 enzymes and named<br />

pETDuet -1/luxAB, (Figure 4); subsequently, transformation<br />

procedure continued into E. coli expression<br />

strains including BL21, Nova blue and JM109.<br />

After induction with IPTG (1 mM), produced proteins<br />

were run onto 12% SDS- PAGE gel, the three protein<br />

bands 37, 40 and 76 kD were detected, which indicates<br />

protein expression of luxB, luxA and luxAB genes,<br />

respectively as shown in Figure 5. The best protein<br />

expression results was obtained after transformation of<br />

the recombinant plasmid onto Nova blue cells in comparision<br />

with two other E. coli strains JM109 and BL21. The<br />

gene segment was under the control of T7 promoter in<br />

the expression vector and the expressed proteins were<br />

accumulated in the cytoplasm.<br />

The protein identity was verified by western blot<br />

analysis. The assay revealed specifically recognition of<br />

luciferase coding genes (luxAB) by bacterial luciferase<br />

antibody (a rabbit polyclonal antibody to bacterial luciferase,<br />

IgG HRP conjugated), whereas no reactivity was observed<br />

in control sample (Figure 6).<br />

DISCUSSION<br />

Gene screening with an easily assayable product,<br />

reporter genes, amplify the signal from the cell surface to<br />

produce a rapid, highly sensitive, reproducible and easily<br />

detectable response. The variety of reporter genes<br />

available including β-galactosidase (lacZ), chloramphenicol<br />

acetyltransferase (CAT), insect luciferase (luc),<br />

bacterial luciferase (lux), alkaline phosphates (phoA), βlactamase<br />

(bla), β-glucuronidase uidA (gusA, gurA),<br />

green fluorescent protein (GFP) and their applications are<br />

very broad in both in vitro and in vivo assays (Jiang et al.,<br />

2008; Köhler et al., 2000; Naylor, 1999). Among all<br />

studied reporter genes, bacterial luciferase are the most<br />

abundant, widely distributed, extensively studied and the<br />

best understood of all types of bioluminescent genes. It is


Figure 3. PCR amplification of the luxAB coding<br />

region using FluxA and RluxB primers. Lane 1and<br />

2 are the same PCR products; lane 3 is a DNA<br />

ladder marker.<br />

Figure 4. lane 1 and 3; the products of digestion with BamH1 and Kpn1; lane 2 and 4 uncut recombinant<br />

plasmid; lane 5 molecular size marker 10000, the released fragment migrated below the 2500 bp fragment<br />

of the DNA ladder.<br />

an α/β heterodimer, a flavine monooxygenize which is<br />

homologous in all bacterial luciferase, catalyzes the<br />

oxidation of a long-chain aldehyde and releases energy<br />

in the form of visible light. Yet luciferase coding genes<br />

have been isolated and cloned from different bacterial<br />

strains like Vibrio harveyi, V. fischeri, Photobacterium<br />

phosphoreum, Photobacterium leiognathi and<br />

Xenorhabdus luminescens in separate or fusion forms<br />

(Meighen, 1994; Wilson and Hasting, 1998). The lux<br />

Tehrani et al. 4021<br />

genes have been transferred into E. coli and a multitude<br />

of different prokaryotic species by transformation,<br />

transduction, conjugation or even bacterial genome<br />

integration, using a variety of different plasmid vectors<br />

(Meighen, 1991).<br />

Previous studies indicate that, the genes encoding<br />

luciferase subunits can generate heterodimers in various<br />

forms (AB1, AB2, BA1, BA2 and A+ B), but the enzyme<br />

activity is decreased in comparison with wild type binary


4022 Afr. J. Biotechnol.<br />

A+B construct, especially in the case of BA1 and BA2<br />

forms which their activity reported to be about 2% of the<br />

wild type (Olsson et al., 1989). In contrast, the current<br />

synthesized construct pETDuet. LuxAB not only simplify<br />

the use of lux system as a reporter enzyme in prokaryotic<br />

cells, but also can provide a special condition in which<br />

both lux genes express simultaneously, from a same<br />

promoter (T7). Furthermore, it has been shown that<br />

obtaining the high expression of the lux genes requires a<br />

strong promoter and ribosome binding site (RBS) on the<br />

expression plasmid that can increase the amount of<br />

product, in which both are available in this effort using<br />

pETDuet-1 vector.<br />

In the previous researches, expression of luciferase<br />

(luxAB) component of the lux system using multiple<br />

plasmids (PB, pGMC12, pFIT001, Plx, pRS1105, pCVG)<br />

about V. harveyi and in the fusion form (pCK218) about<br />

V. fischeri have been reported (Greer and Szalay, 2002),<br />

but in this study, we constructed a polycistronic lux<br />

system by cloning the luxA, luxB and intergenic sequence<br />

Figure 5. SDS PAGE analysis, lane 1 control cell lysate without<br />

recombinant palsmid; Lane 3 and 4 cell lysate of E. coli Nova blue<br />

containing pETDuet-1/luxAB in different sampling times (3 and 5 h,<br />

respectively) after induction with IPTG; lane 2 before induction with<br />

IPTG.<br />

Figure 6. Western blot analysis of luxAB protein. Lane<br />

1 induced culture containing Nova blue bacteria<br />

harboring pETDuet-1 recombinant plamsids after 3 h<br />

induction; lane 2 after 5 h induction; lane 3 extracted<br />

protein from culture containing Nova blue strain, as<br />

control.<br />

as a 2046 bp fragment into a TA cloning vector<br />

(pTZ57R), followed by subcloning the fragment into the<br />

expression vector pETDuet-1 and successfully expressed<br />

in Nova blue cells that accordingly, not have already<br />

been expressed and reported. In addition to luxAB<br />

protein (76 kD), free luxA and luxB subunits (40 and 37<br />

kD) were also detected in different extracts. The amount<br />

of free subunits, moreover the 76 kD protein, increased<br />

with IPTG induction which confirm that these subunits<br />

were also translated from the lux transcripts.<br />

Finally, pETDuet-luxAB construct can now be applied<br />

as a reporter cassette in prokaryotic systems, resulting in<br />

luminous phenotype on addition of a fatty aldehyde<br />

(decanal) to the cells. The expression of the lux genes in<br />

different bacterial species provided a simple and<br />

sensitive system for monitoring the growth and distribution<br />

of the bacteria in the environment. By using the lux<br />

genes as reporters of gene expression, the strength and<br />

regulation of transcription from various promoters can be<br />

readily monitored and also light emission can easily be


detected and measured. Furthermore, this reporter<br />

cassette can be used as a marker or tag in the manipulation<br />

and the control of gene expression in the fields of<br />

research, production, control of microorganism and other<br />

biotechnological applications.<br />

ACKNOWLEDGEMENTS<br />

This study was financially supported by Iranian Fisheries<br />

Research Organisation, Ecology research center of the<br />

Caspian Sea and was done in Cellular and Molecular<br />

Biology Research Center- Shahid Beheshti University of<br />

Medical Sciences. The authors are thankful for the<br />

support and cooperation of the directors.<br />

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Dunlap PV (1999). Quorum regulation of luminescence in Vibrio fischeri.<br />

J. Mol. Microbiol. Biotechnol. 1: 5-12.<br />

Fisher AJ, Thompson TB, Thoden JB, Baldwin TO, Rayment I (1996).<br />

The 1.5-A resolution crystal structure of bacterial luciferase in low salt<br />

conditions. J. Biol. Chem. 271: 21956-21968.<br />

Fuqua WC, Winans SC, Greenberg EP (1994). Quorum Sensing in<br />

Bacteria: the LuxR-LuxI Family of Cell Density-Responsive<br />

Transcriptional Regulators J. bacterial. 176: 269-275.<br />

Gaastra W, Hansen K (1984). Ligation of DNA with T4 DNA ligase. In<br />

methods in Molecular Biology vol 2 Nucleic Acids. Edited by Walker<br />

JM. Humana press. 32: 225-230.<br />

Greer LF, Szalay AA (2002). imaging of light emission from the<br />

expression of luciferase in living cells and organisms : a review.<br />

Lumiescence, 17: 43-74.<br />

Hanahan D (1983). Studies on transformation on E. coli with plasmids.<br />

J. Mol. Biol. pp: 503-517.<br />

Jiang TBX, Rao J (2008). Recent Developments of Biological Reporter<br />

Technology for Detecting Gene Expression. Biotechnol. Genet. Eng.<br />

Reviews 25: 41-76.<br />

Köhler S, Belkin S, Schmid RD (2000). Reporter gene bioassays in<br />

environmental analysis. Fresenius J. Anal. Chem. 366: 769-779.<br />

Lupp CMU, Greenberg EP, Ruby EG (2003). The Vibrio fischeri<br />

quorum-sensing systems ain and lux sequentially induce<br />

luminescence gene expression and are important for persistence in<br />

the squid host. Mol. Microbiol. 50: 319-331.<br />

Meighen EA (1994). Genetics of bacterial bioluminescence. Ann. Rev.<br />

Genet. 28: 117-139.<br />

Meighen EA (1991). Molecular Biology of Bacterial Bioluminescence.<br />

Microbiological Reviews, 55: 123-142.<br />

Milton DL (2006). Quorum sensing in vibrios: complexity for<br />

diversification. Int. J. Med. Microbiol. 296: 61-71.<br />

Naylor LH. (1999). Reporter gene technology: the future looks bright.<br />

Biochemical Pharmacology 58: 749-757.<br />

Nelson EJHS, Tunsjo PM, Fidopiastis HS, Ruby EG (2007). A novel lux<br />

operon in the cryptically bioluminescent fish pathogen Vibrio<br />

salmonicida is associated with virulence. Appl. Environ. Microbiol. 73:<br />

1825-1833.<br />

Nyholm SV, Mcfall-Ngai MJ (2004). The winnowing: establishing the<br />

squid-vibrio symbiosis. Nat. Rev. Microbiol. 2: 632-642.<br />

Olsson O, Escher A, Sandberg G, Schell J, Konez C, Szalay AA (1989).<br />

Engineering of monomeric bacterial luciferases by fusion of luxA and<br />

luxB genes in Vibrio harveyi. Gene 81: 335-347.<br />

Ruby EG (1999). The Euprymna scolopes-Vibrio fischeri symbiosis: a<br />

biomedical model for the study of bacterial colonization of animal<br />

tissue. J. Mol. Microbiol. Biotechnol. 1: 13-21.<br />

Tehrani et al. 4023<br />

Sambrook J, Russell D (2001). Molecular Cloning . A labratoary<br />

manual in Molecular Biomethods Handbook. Humana press.<br />

Shewry P, Fido R (1998). Protein blotting , principle and applications,<br />

pp: 435-444.<br />

Sitnikov DM, Schineller JB, Baldwin TO (1995). Transcriptional<br />

regulation of bioluminesence genes from Vibrio fischeri. Molecular<br />

Microbiology, 17: 801-812.<br />

Smith B (1984). SDS polyacrylamide gel electorophoresis of proteins, in<br />

Methods in molecular biology, edited by W. Jm. Saunders Co, New<br />

York. pp: 41-45<br />

Thompson FLTI , Swings J (2004). Biodiversity of vibrios Microbiology<br />

and Molecular Biology Reviews 68: 403-431.<br />

Ulitzur S (1998). LuxR Controls the Expression of Vibrio scheri<br />

luxCDABE Clone in Escherichia coli in the Absence of luxI. Genet. J.<br />

Bioluminescence Chemiluminescence 13: 365-369.<br />

Visick KL, Foster J, Doino J, Mcfall-Ngai M, Ruby EG (2000). Vibrio<br />

fischeri lux genes play an important role in colonization and<br />

development of the host light organ. J. Bacteriol. 182: 4578-4586.<br />

Visick KL, Mcfall-Ngai MJ (2000). An exclusive contract: specificity in<br />

the Vibrio fischeri-Euprymna scolopes partnership. J. Bacteriol. 182:<br />

1779-1787.<br />

Waters CM, Bassler BL (2005). Quorum sensing: cell-to-cell<br />

communication in bacteria. Annu. Rev. Cell Dev. Biol. 21: 319-346.<br />

Wilson T, Hasting JW (1998). bioluminescence. Annu. Rev. Cell Dev.<br />

Biol. 14: 197-230.


African Journal of Biotechnology Vol. 10(20), pp. 4024-4028, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2466<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Study of polymorphism of leptin gene receptor in<br />

Mazandaran fowls<br />

H. A. Abbasi*, S. Gharahveysi and R. Abdullahpour<br />

Department of Animal Sciences, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran<br />

Accepted 25 March, 2011<br />

In chickens, leptin is expressed mainly in the liver and adipose tissue. In Iran, Mazandaran native fowls<br />

are under recording and breeding programs, but according to the action modes and importance of the<br />

leptin receptor, its polymorphisms can be related to economical traits such as body weight. In this<br />

study, in order to identify allelic polymorphism in leptin gene receptor, a restriction fragment length<br />

polymorphism (RFLP) method was used. Blood samples were collected randomly from 100 individuals.<br />

The DNA extraction was based on a salting-out method, while an amplified polymerase chain reaction<br />

technique was used. The quantity and quality of extracted DNA were examined using<br />

spectrophotometric and agarose gel electrophoresis. A strategy, employing polymerase chain reaction,<br />

was used to amplify a 374 bp fragment of 9 to 11 exon leptin gene receptor. Digestion of amplicons with<br />

HaeIII revealed leptin gene receptor. The obtained results from restriction digestion showed none of the<br />

polymorphism in leptin receptor gene, so all samples were monomorph due to the fact that there was<br />

no mutation that was related to polymorphism.<br />

Key words: Leptin gene receptor, PCR- RFLP, polymorphism, fowl, HaeIII.<br />

INTRODUCTION<br />

In farm animals, the control and prediction of fatness is of<br />

a high economic interest. The exaggerated adipose<br />

tissue development negatively affects the whole body<br />

metabolism, production efficiency, reproduction and meat<br />

quality. The word leptin comes from the Greek leptos,<br />

meaning thin, referring to the anti-obesity effect which<br />

was believed to be the primary physiological function of<br />

the hormone. Leptin is the product of the ob gene,<br />

discovered by Zhang et al. (1994) using the positional<br />

cloning technique.<br />

Leptin was first identified as the gene product found<br />

deficient in the obese ob/ob mouse. The gene is located<br />

on chromosome 6 in the mouse and chromosome 7 in<br />

humans, and encodes a protein that shows a high degree<br />

of homology between species. Mutations in this ob gene<br />

* Corresponding author. E-mail: h.abbasi1389@gmail.com.<br />

Abbreviations: PCR, Polymerase chain reaction; RFLP,<br />

restriction fragment length polymorphism; LEP, leptin; LEPR,<br />

leptin receptor; NPY, neuropeptide Y.<br />

revealed the pivotal role of leptin in energy balance<br />

(Zhang et al., 1994). The full coding sequence contains<br />

167 amino acids (a.a.) and is composed of a 21-amino<br />

acid signal peptide and a 146-amino acid circulating,<br />

bioactive hormone. However, leptin is a 16-kDa hormone<br />

that has been shown to play an important role in the<br />

regulation of food intake, energy expenditure and hypothalamus<br />

endocrine function in response to nutritional<br />

changes (Friedman and Halaas, 1998; Elmquist et al.,<br />

1999). Recent studies have demonstrated that leptin is<br />

produced by other tissues, such as brain, pituitary gland,<br />

skeletal muscles and stomach. In mammals, leptin is<br />

expressed primarily in adipose tissue (Zhang et al., 1994)<br />

and at a lower level in the placenta and stomach<br />

(Masuzaki et al., 1997; Bado et al., 1998). Thus, it<br />

represents an excellent candidate gene for polymorphism<br />

investigation and association with economic traits in<br />

livestock species. Organization of this gene is conserved<br />

among mouse, human and bovine, presenting three<br />

exons and two introns (Taniguchi et al., 2002). In bovine,<br />

polymorphisms on LEP gene has been associated with<br />

body fat, feed intake and milk yield (Buchanan et al.,<br />

2002; Liefers et al., 2002; Nkrumah et al., 2005). Unlike


mammals, little is known about the avian LEP gene<br />

function. In chicken, only its coding sequence was identified<br />

and sequenced by Taouis et al. (1998). The leptin<br />

signal is mediated through a species receptor localized in<br />

the target tissues, and the leptin receptor (LEPR) belongs<br />

to the class I cytokine receptor superfamily that shares<br />

common structural features and signal transduction<br />

pathways (Tartaglia et al., 1995). Leptin mediated its<br />

central effect through specific receptors located in the<br />

hypothalamus. Leptin receptors have been located on<br />

neurons producing neuropeptide Y (NPY), and when<br />

activated by leptin binding, it is hypothesized to function<br />

in part by down regulating the production of hypohypothalamic<br />

NPY (orexigenic effector) to inhibit ingestive<br />

behavior (Schwartz et al., 1997).<br />

Mammalian adipocytes produce and secrete more<br />

leptin in bloodstream as fat storage increases (Maffei et<br />

al., 1995), signalling the brain via leptin receptor<br />

(Hakansson et al., 1996; Banks et al., 1996) and modulating<br />

the hypothalamic neuropeptide system to suppress<br />

appetite and increase energy expenditure (Rohner et al.,<br />

1996; Kristensen et al., 1998). More interestingly, it has<br />

been shown that chicken leptin gene expression is sensitive<br />

to hormonal treatment in liver, but not in adipose<br />

tissue (Ashwell et al., 1999). These observations are<br />

thought to be due to the role of the avian liver as the<br />

primary source of lipogenesis (Goodridge and Ball, 1967;<br />

Leveille et al., 1968). The peripheral action of leptin in the<br />

chicken is poorly documented except in the pancreas,<br />

where it has recently been demonstrated that leptin has a<br />

profound inhibitory influence upon insulin secretion in the<br />

perfused chicken pancreas (Benomar et al., 2003).<br />

Several studies have showed that exogenous administration<br />

of leptin decreased feed intake in chicks, which<br />

was similar to the one described in mammals, but the<br />

anorexigenic effect within chicken hypothalamus was<br />

mediated via selective neuropeptides, such as NPY and<br />

orexin (Dridi et al., 2005).<br />

In Iran, Mazandaran native fowls are under recording<br />

and breeding programs, but according to the action<br />

modes and importance of leptin gene receptor, its polymorphisms<br />

can be related to economical traits such as<br />

body weight. The aim of the present study is to investigate<br />

the polymorphisms of leptin receptor gene in<br />

Mazandaran native fowls using PCR-RFLP methodology.<br />

Association between different allelic and genotypic forms<br />

of gene and economical important traits can be found if<br />

the polymorphisms are seen. Finding an association<br />

between these caused an improved accuracy and genetic<br />

gain in fowls.<br />

MATERIALS AND METHODS<br />

Experimental population<br />

The study, which was conducted at the Native fowls breeding<br />

station of Mazandaran located in the North of Iran, have been<br />

established in 1988 with the objective of conserving the endan-<br />

gered population of native fowls in rural areas. The location is<br />

Abbasi et al. 4025<br />

typically hot and semi-arid with yearly minimum and maximum<br />

temperature ranges between 4 and 34°C, respectively. The station<br />

has two main activities, namely extension and genetic improvement.<br />

Genetic improvement is done by selecting the best 100 cocks<br />

and 800 hens as parents of the next generations. Parents of each<br />

generation are selected among 7000 pedigreed and performance<br />

recorded birds produced by each generation. The extension part is<br />

continuously producing and distributing 8 weeks old chicks among<br />

rural communities with the aim of increasing the population of<br />

native fowls in Northern provinces of Iran. Rearing chicks in a 30 to<br />

60 days period and distributing them in rural areas to enhance meat<br />

and egg production are quantitative goals of Mazandaran native<br />

fowl breeding station.<br />

Sample collection and DNA isolation<br />

A total of 100 blood samples (5 ml) were collected in EDTA (1 mg<br />

ml -1 ) treated tubes as an anticoagulant from randomly chosen<br />

individuals. The chicks were sampled randomly from four rearing<br />

salons, and each contains chicks with same hatching. Samples<br />

were transferred to the laboratory with ice flask and stored at -20°C<br />

for further analysis. DNA was isolated by standard salt procedure<br />

described by Miller et al. (1988). The quality and quantity of the<br />

extracted DNA was checked by spectrophotometer and agarose gel<br />

electrophoreses.<br />

DNA samples were adjusted to a concentration of 25 µl reaction<br />

mixture, containing 200 ng/µl, and exactly 1/5 µl of the DNA samples<br />

were used as template for polymerase chain reaction.<br />

Primers design<br />

One set of primers was designed using Primer3 primer design<br />

software [(Rozen and Skaletzky, 2000) - www.frodo.wi.mit.edu/cgibin/primer3/primer3_www.cgi].<br />

These primers were designed based<br />

on the chicken sequence leptin gene receptor (GenBank–<br />

NC006095.2), Gallus gallus chromosome 8 and reference assembly<br />

(based on Gallus_gallus-2.1). The primers were analyzed on<br />

NetPrimer (http://www.premierbiosoft.com/netprimer/netprlaunch/<br />

netprlaunch.html), in order to avoid secondary structures, such as<br />

hairpins and loops and primer dimmer. Specific primer pairs were<br />

prepared from the Sina gene (Iran) company in a lyophilized form<br />

and were solved in double steriled water and stored at -20°C. Blood<br />

purified DNA showed better quantity and quality.<br />

Leptin gene receptor amplification<br />

The design primer, primer premier 3(2000) software, was used for<br />

the DNA sequence in exons 9 to 11 leptin gene receptor, while the<br />

Net Primer was used to compare the produced sequence and the<br />

saved sequence. The sequences of the forward and reverse<br />

primers for the amplification of the leptin gene receptor were: F 5´-<br />

GTGTGATAGCTTTGAATGTTGGTG -3´ and R 5´- CTCTTCTG<br />

TTGCCAGCTGTGAT -3´. The polymerase chain reaction for the<br />

leptin gene receptor was performed in a 25 µl reaction mixture,<br />

containing 3 mM MgCl 2 , 200 µM of each dNTPs, 0.4 µM of each<br />

primers, 1X PCR buffer, 1U Taq polymerase (Cinagen, Iran) and<br />

100 ng of genomic DNA template. The reaction mixture was placed<br />

in a DNA thermal cycler (Perkin Elmer 9700). Thermal cycling<br />

conditions included an initial denaturation step at 93°C for 3 min<br />

followed by 33 cycles of 93°C for 45 sec, 57°C for 45 s, 72°C for 45<br />

s and a final extension at 72°C for 4 min.<br />

Restriction digest<br />

For the PCR- RFLP assays, 15 U of the PCR products were digested


4026 Afr. J. Biotechnol.<br />

Figure 1. Various samples obtained from PCR.<br />

Figure 2. Schematic of the 374 bp sequence of leptin gene receptor.<br />

with 5 units of HaeIII (Gibco BRL, life Technologies, USA) at 37°C<br />

for at least 24 h, respectively. Digested products were separated by<br />

electrophoresis on 1% agarose gel in 1×TBE (Tris-Boric acid-<br />

EDTA) buffer at 85 V for 1 h. The 100 bp DNA ladder (Fermentas<br />

SM0331) was used in each gel as a molecular size standard. The<br />

gels were stained with ethidium bromide and the fragments were<br />

visualized using UV transilluminator.<br />

RESULTS AND DISCUSSION<br />

One of the challenges of the poultry industry is to improve<br />

chicken's carcass quality and reduce fat content, without<br />

prejudicial effects on the genetic gains already obtained.<br />

In poultry, the animal’s rapid growth rate has led to excessive<br />

body fat associated with impairment of the total<br />

body metabolism, disorders in the reproductive functions<br />

and muscular development resulting in low performance<br />

with high mortality.<br />

Using an appropriate thermal program in PCR, the 374<br />

400 bp<br />

300 bp<br />

bp segment was amplified without unspecific bands<br />

(Figure 1). The specific primer pairs were designed from<br />

sequence of leptin receptor gene in genbank NCBI site.<br />

Using these primers, a 374 bp segment from exons 9 to<br />

11, which started from nucleotide 55 to 429, was amplified<br />

(Figure 2). The HaeIII restriction enzyme has a<br />

restriction site of ((GGCC)) in the amplified segment and<br />

this site was cut after the second ((G)) base. If the<br />

enzyme cuts the segment, then two bands with lengths of<br />

241 and 133 are seen after electrophoresis on the gel<br />

(Figure 3). However, if the mutation did not occur in the<br />

amplified segment, the HaeIII can not cut the segment<br />

and as such, only one allele (allele B) would be seen, but<br />

if the mutation occurs, two alleles (A and B) are seen<br />

after restriction of digestion. It is shown in the samples<br />

with two bands that the DNA was cut at both strands after<br />

digestion. The digestion products showed that<br />

Mazandaran native fowls were monomorph at the leptin<br />

receptor gene, but the entire samples showed one band


Abbasi et al. 4027<br />

300 bp<br />

100 bp<br />

Figure 3. Results of PCR-RFLP analysis for leptin gene receptor by restriction enzyme HaeIII on 1% agarose<br />

gel and on ladder 100 bp (fermentas).<br />

on agarose gel; therefore, all had BB genotype in this<br />

locus. To confirm the accuracy of digestion, this process<br />

was performed twice, and the cloning study revealed that<br />

the leptin receptor gene has six isoforms such as the long<br />

isoform. Other cloning studies showed three exons and<br />

two introns in the leptin gene. Investigation of the mRNA<br />

of the leptin receptor gene showed eighteen exons in it<br />

(Almeida et al., 2003).<br />

Nevertheless, the cloning study revealed an expression<br />

of leptin gene in the chicken’s liver (Taose et al., 1998).<br />

The polymorphisms of leptin receptor gene were<br />

surveyed in Khoozestan native fowl population using<br />

RFLP-PCR at 2009. It showed that change in the<br />

restriction site of HaeIII generated different restricted segments.<br />

Consequently, three genotypes and two alleles<br />

were seen in Khoozestan fowls. The allelic frequencies of<br />

leptin gene receptor in Khoozestan fowls were 31.19 and<br />

61.81 for alleles A and B, and the genotypic frequencies<br />

were 18.81, 24.75 and 54.44 for genotypes AA, AB and<br />

BB, respectively. Results showed deviation from Hardy-<br />

Weinberg equilibrium in the population of Khoozestan<br />

fowls. Furthermore, the association study revealed that<br />

allele A had positive effect on economical traits than<br />

allele B. The observed and expected heterozygosities<br />

were 0.243 and 0.568, respectively. However, the obtained<br />

results from Mazandaran native fowls were<br />

contrary to those of Khoozestan fowls. The frequency of<br />

the wild type allele is higher than the mutant allele in<br />

Mazandaran native fowls. This can be due to the<br />

physiological role of allele B in Iranian fowls. Inbreeding<br />

and family selection can be one of the major factors that<br />

enhance the BB genotype in Mazandaran native fowls.<br />

Reared chickens in the breeding station of Mazandaran<br />

native fowls are prepared from the state native fowls'<br />

breeding center, and in addition, it is a closed population<br />

and therefore is open for disequilibrium factors.<br />

Inbreeding coefficient is high in the closed population<br />

which, in turn, causes a decrease of diversity in the population.<br />

Increasing effective population size, controlling<br />

mating and preparing independent populations with large<br />

number of primitive individuals are necessary for preventing<br />

decrease of diversity in Mazandaran native fowls.<br />

Nonetheless, designed primers in this study were first<br />

used in Iranian chickens.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4029-4032, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2563<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Detection of genomic instability in hypospadias<br />

patients by random amplified polymorphic DNApolymerase<br />

chain reaction (RAPD-PCR) method<br />

Adnan A. Alsulaimani 1 , Nabil S. Awad 2 * and Adel E. El-Tarras 2<br />

1 College of Medicine, Taif University, Taif, Kingdom of Saudi Arabia.<br />

2 College of Medicine, Biotechnology and Genetic Engineering Unit, Taif University, Taif, Kingdom of Saudi Arabia.<br />

Accepted 18 March, 2011<br />

Hypospadias is a urogenital malformation, and it is a common inborn disorder in male individuals. The<br />

etiology of hypospadias is still unsolved. The present study is aimed to identify the genetic instability in<br />

hypospadias patients. Random amplified polymorphic DNA (RAPD), a polymerase chain reaction (PCR)<br />

based technique, was adopted using ten random primers in twelve cases and twelve controls. The<br />

primer detectability on genomic instability in 12 samples ranged from 25% with primer OPA-01 to 66%<br />

with OPA-08. Case 2 showed the highest genomic instability (80%). The lowest genomic instabamility<br />

was (10%) case 6. The results determined numbers of genomic instabilities among hypospadias<br />

patients. In addition, the RAPD-PCR technique is a powerful tool for detection of genomic instability in<br />

hypospadias patients. Further larger studies are needed, which include low and high grade of patients<br />

to: 1) Obtain RAPD markers useful for hypospadias early diagnosis; 2) investigate different genes<br />

directly involved in the etiology of hypospadias; 3) analyze chromosomal instability among hypospadia<br />

patients.<br />

Key words: Hypospadias, random amplified polymorphic DNA (RAPD), genomic instability.<br />

INTRODUCTION<br />

Hypospadias is one of the most common congenital<br />

disorders (Sutherland et al., 1996) characterized by<br />

opening on the ventral side of the penis (Manson and<br />

Carr 2003). Hypospadias occurs in 1 out of 300 live male<br />

births (Kalfa et al., 2008). Different studies on the etiology<br />

of hypospadias were conducted and most of them have<br />

focused on a number of candidate genes that control<br />

androgen action and metabolism including the SRD5A2,<br />

HSD17B3 and the AR genes (Manson and Carr., 2003)<br />

and CXorf6 gene mutations (Fukami et al., 2006; Kalfa et<br />

al., 2008).<br />

Measurement of genomic instability has been<br />

performed by techniques like flow cytometry, fluorescent<br />

*Corresponding author. E-mail: nabilfaris151@yahoo.com.<br />

Abbreviations: CGH, Comparative genomic hybridization;<br />

RAPD, random amplified polymorphic DNA; PCR, polymerase<br />

chain reaction; EDTA, ethylenediaminetetraacetic acid.<br />

in situ hybridization, comparative genomic hybridization<br />

(CGH) and allelotyping, which, although informative, are<br />

cumbersome to perform and hence, impractical in the<br />

assessment of clinical cases (Basik et al., 1997).<br />

Random amplified polymorphic DNA (RAPD) is a<br />

polymerase chain reaction (PCR) based fingerprinting<br />

technique that amplifies random DNA fragments with<br />

single short primers of arbitrary nucleotide sequence<br />

under low annealing stringency (Ong et al., 1998;<br />

Williams et al., 1990). The applications of RAPD<br />

technique have been found among several kinds of<br />

organism including bacteria (Sahoo et al., 2010), fungi<br />

(Motlagh and Anvari, 2010), plants (El-Tarras et al., 2004,<br />

animals (Güneren et al., 2010), insects (Awad et al.,<br />

2010) and humans (Saleh et al., 2010). The usefulness of<br />

the RAPD technique for the detection of genomic<br />

instability in various types of human tumors has been<br />

widely documented (Singh and Roy, 2001; Papadopoulos<br />

et al., 2002; Zhang et al., 2004; Xian et al., 2005; Saleh<br />

et al., 2010). No evidence for an association between<br />

genomic instability and hypospadias has been


4030 Afr. J. Biotechnol.<br />

investigated. So the specific aims of this study are to<br />

investigate the association between genomic instability<br />

and hypospadias, as well as to evaluate the usefulness of<br />

the RAPD technique for the detection of genomic<br />

instability in hypospadias patients.<br />

MATERIALS AND METHODS<br />

Blood samples collection and DNA extraction<br />

Whole blood samples of 12 hypospadias patients and 12 healthy<br />

individuals were drawn from a peripheral vein into<br />

ethylenediaminetetraacetic acid (EDTA) tubes and stored at -20°C<br />

until DNA extraction step. Genomic DNA was extracted from blood<br />

samples according to instructions of Blood DNA Preparation Kit<br />

(Jena Bioscince; Germany).<br />

DNA amplification<br />

Total reaction volume of 25 ul of 2x superhot PCR Master Mix<br />

(Bioron; Germany) was used and contains 10 Pmol of each 10<br />

different arbitrary 10-mer primers and 25 to 50 ng of genomic DNA.<br />

The names and sequences of these oligoprimers are listed in Table<br />

1. The RAPD-PCR amplification reactions were performed in<br />

Eppendorf ® thermal cycler using the following PCR program: 1<br />

cycle at 94°C, 4 min; 35 additional cycles consisting of 94°C 5 s,<br />

37°C 20 s and 72°C 20 s. After the amplification, the PCR reaction<br />

products were electrophoresed with 100 bp ladder marker<br />

(Fermentas, Germany) on 10 x 14 cm 1.5%-agarose gel (Bioshop;<br />

Canada) for 30 min using Tris-borate- EDTA Buffer. The gel was<br />

stained with 0.5 μg/ml of ethidium bromide (Bioshop; Canada).<br />

Data analysis<br />

All gels were visualized and documented using a GeneSnap 4.00-<br />

Gene Genius Bio Imaging System (Syngene; Frederick, Maryland,<br />

USA). Each RAPD-PCR amplified DNA fragment was assumed to<br />

represent a single locus. The digital image files were analyzed<br />

using Gene Tools software from Syngene. The densitometric<br />

scanning of each based on its three characteristic dimensions was<br />

carried out. Each band was recognized by its length, width and<br />

intensity. Accordingly, the relative amount of each band was<br />

measured and scored. The absence or addition of an amplified<br />

product in at least one hypospadias sample and its corresponding<br />

control sample was used as a criterion of genomic instability.<br />

RESULTS AND DISCUSSION<br />

During the present study, 12 hypospadias patients and<br />

corresponding normal individuals were examined using<br />

RAPD-PCR method to detect genomic instability which<br />

appears as banding pattern changes between patients<br />

and normal amplified DNA with ten different RAPD<br />

primers. Results of genomic instability detected by<br />

RAPD-PCR analysis are shown in Table 1 and Figure 1.<br />

Among all studied cases, genomic instability was demonstrated<br />

with at least one primer. Among all studied cases<br />

with all primers, the detectability of genomic instability<br />

ranged from 25% with primer OPA-01 to 66.6% with<br />

OPA-08 primer. With all used primers, case 2 showed the<br />

highest genomic instability (80%), whereas, t he lowest<br />

genomic instability was (10) with case 6.<br />

There are three types of hypospadias glandular or<br />

coronal (mild), penile (moderate), scrotal and perineal<br />

(severe) which are also called first, second and third<br />

grade, respectively (Ghirri et al., 2009). The powerful<br />

technique that detects genomic alteration correlated with<br />

human tumor is microsatellites analysis (Odenthal et al.,<br />

2009; Janavicius et al., 2010). However, this methodology<br />

is time consuming and can only detect base-pair<br />

expansion or contraction in specific microsatellite loci<br />

(Ong et al., 1998). On the contrary, for genomic instability<br />

analysis, it is important to investigate genetic alterations<br />

in the entire genome besides microsatellite loci. In<br />

contrast, the RAPD method can simply and rapidly detect<br />

genetic alterations in the entire genome without<br />

knowledge of specific DNA sequence information<br />

(Papadopoulos et al., 2002; Ibrahim et al., 2010). In the<br />

RAPD method, genetic alterations appeared as either<br />

loss or gain of a band, shift of a band, or decrease or<br />

increase of intensities of a band of cancer tissue DNA<br />

relative to the corresponding normal tissue DNA (Maeda<br />

et al., 1999). Obtained results indicated that RAPD-PCR<br />

is an effective tool for identifying genetic alteration and<br />

genomic instability which is in agreement with several<br />

various studies (Ibrahim et al., 2010; Wang, 2001). Figure<br />

1 shows the banding profiles of hypospadias and<br />

corresponding normal DNAs and demonstrate the<br />

detected genetic alteration by RAPD technique among<br />

hypospadias patients in comparison with normal control<br />

group. Banding shifts, missing bands and/or banding<br />

intensity changes, which indicate genomic instability,<br />

were demonstrated in this figure.<br />

These results might be due to mutations that occurred<br />

at the primer - template interaction sites (Maeda et al.,<br />

1999). The summarized results which are illustrated in<br />

Table 1 indicated that, there are differences in genetic<br />

instability among the studied cases which ranged from<br />

10% with case number 6 to 80% for case number 2.<br />

These differences might be due to differences in studied<br />

hypospadias types (mild, moderate or sever). Data in<br />

Table 1 and Figure 1 reflects the ability of each primer to<br />

detect genomic instability which range from 25% with<br />

primer OPA-01 to 66.6% with OPA-08 primer. This<br />

finding might be due to the fact that some loci in the DNA<br />

or chromosome were apt to changes of nucleotide<br />

sequences like the sequences which amplified by primer<br />

OPA-08, while the sequences amplified by primer OPA-<br />

01 would tend to remain stable among hypospadias<br />

patients (Jianxun et al., 2002). Although, the number of<br />

hypospadias samples used in this study is relatively<br />

small, these results seem to indicate that there is a close<br />

relationship between genomic instability detected by RAPD<br />

analysis and this is in agreement with (Ong et al., 1998).<br />

Conclusion<br />

From the obtained results, it could be concluded that,


Alsulaimani et al. 4031<br />

Table 1. Primer code, their sequences and % of primer detectability of genetic instability among hypospadias cases in comparison<br />

with controls.<br />

Primer<br />

code<br />

Primer sequence Samples Primer<br />

detectability (%)<br />

1 2 3 4 5 6 7 8 9 10 11 12<br />

OPA-01 CAGGCCCTTC - + - - - - - - + - - + 25<br />

OPA-02 TGCCGAGCTG - + - - + - - + + + - - 41.6<br />

OPA-03 AGTCAGCCAC + + - - - - - + - + - - 33.3<br />

OPA-04 AATCGGGCTG + - - + + + - - + + - - 50<br />

OPA-05 AGGGGTCTTG + - - + - - - - + - + - 33.3<br />

OPA-06 GGTCCCTGAC - + + + - - - + + - - + 50<br />

OPA-07 GAAACGGGTG - + - + + - + - - + + - 50<br />

OPA-08 GTGACGTAGG + + + + - - + + - + - + 66.6<br />

OPA-09 GGGTAACGCC - + - + - - - + - - - + 33.3<br />

OPA-10 GTGATCGCAG - + - + - - - + - - - + 33.3<br />

Total<br />

40 80 20 70 30 10 20 60 50 50 20 40<br />

+: Genomic instability detected; -: no genomic instability detected.<br />

Figure 1. Genetic alteration revealed from RAPD-PCR analysis of hypospadias (h) and corresponding<br />

control (n). A, with primer OPA-02; B, with primer OPA-03 and C, with OPA-05.<br />

among hypospadias patients, a number of genetic insta-<br />

bilities represented as loss or gain, shift and/or decrease<br />

or increase of intensities of a DNA bands were identified.<br />

RAPD-PCR method is suitable for detecting genomic<br />

changes among hypospadias patients. Further, deep<br />

molecular genetic case control studies with high and low<br />

hypospadias grade are needed to: 1) Determine and<br />

identify specific DNA markers that could be used in early<br />

detection and molecular diagnosis programs of<br />

hypospadias; 2) investigate different genes directly<br />

involved in the etiology of hypospadias and 3) analyze<br />

chromosomal instability among hypospadias patients.<br />

REFERENCES<br />

Awad N, Sally M, Margueriet A, Morad H, Ayman Z (2010).<br />

Fingerprinting and assessment of genetic variability of Varroa<br />

destructor in Egypt. J. Apicu. Res. 49(3): 251-256.<br />

Basik M, Stoler D, Kontzglou K, Rodriguez-Bigas, Petrelli N, Anderson<br />

G (1997).Genomic instability in sporadic colorectal cancer quantitated<br />

by inter-simple sequence repeat PCR analysis. Gene. Chrom. Can.<br />

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El-Tarras A, Bazaid S, Munshi A (2004). Genetic identification of KSA<br />

pomegranate using PAGE and RAPD techniques. Egypt. J. Genet.<br />

Cytal. 33(2): 433 – 441.<br />

Fukami M, Wada Y, Miyabayashi K, Nishino I, Hasegawa T,<br />

Nordenskjöld A, Camerino G, Kretz C, Buj-Bello A, Laporte J,<br />

Yamada G, Morohashi K & Ogata T (2006). CXorf6 is a causative


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gene for hypospadias. Nat. Gene. 38: 1369–1371.<br />

Ghirri P, Scaramuzzo R, Bertelloni S, Pardi D, Celandroni A, Cocchi G,<br />

Danieli R, De Santis L, Di Stefano M, Gerola O, Giuffrè M, Gragnani<br />

G, Magnani C, MeossiC, Merusi I, Sabatino G, Tumini S, Corsello G,<br />

Antonio Boldrini (2009). Prevalence of hypospadias in Italy according<br />

to severity, gestational age and birthweight: an epidemiological study.<br />

Ita. J. Pediatr. 27(35):18-24.<br />

Güneren G, Akyüz B, Ertugrul O (2010). Use of RAPD-PCR for genetic<br />

analyses on the native cattle breeds in Turkey. Ank.Üniv. Vet. Fak.<br />

Derg. 57: 167-172.<br />

Ibrahim M, Saleh N, Archoukieh E, Al-Obaide H, Al-Obaidi M ,Said H<br />

(2010). Detection of Novel Genomic Polymorphism Detection of<br />

Novel Genomic Polymorphism in Acute Lymphoblastic Leukemia by<br />

Random Amplified Polymorphic DNA Analysis.int. J. can. Res. 6:19-<br />

26.<br />

Janavicius R, Matiukaite D, Jakubauskas A, Griskevicius L (2010).<br />

Microsatellite Instability Detection by High-Resolution Melting<br />

Analysis. Clin. Chem. 56: 1750-1757.<br />

Jianxun W, Qianwen W, Feng Y (2002). Genetic instability in cancer<br />

tissues analyzed by random amplified polymorphic DNA PCR.<br />

Chi.med.J. 111(3):430-432.<br />

Kalfa N, Liu B, Ophir K, Audran F, Wang 1M, Mei C, Sultan C, Baskin L<br />

(2008). Mutations of CXorf6 are associated with a range of severities<br />

of hypospadias. Europ. J. Endocrino. 159 (4): 453-458.<br />

Maeda T, Jikko A, Hiranuma H, Fuchihata H (1999). Analysis of<br />

genomic instability in squamous cell carcinoma of the head and neck<br />

using the random amplified polymorphic DNA method. Canc. Lett.<br />

138: 183-188.<br />

Manson J, Carr C (2003). Molecular Epidemiology of Hypospadias:<br />

Review of Genetic and Environmental Risk Factors. Bir. Def. Res. 67:<br />

825–836.<br />

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Bipolaris oryzae based on RAPD-PCR in north of Iran. Afri. J.<br />

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Baldus E (2009). Analysis of microsatellite instability in colorectal<br />

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62:850–852.<br />

Ong T, Song B, Qian H, Wu L, Whong W (1998). Detection of genomic<br />

instability in lung cancer tissues by random amplified polymorphic<br />

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Papadopoulos S, Benter T, Anastassiou G, Pape M, Gerhard S,<br />

Bornfeld N, Ludwig WD, Dörken B (2002). Assessment of genomic<br />

instability in breast cancer and uveal melanoma by random amplified<br />

polymorphic DNA analysis. Int. J. Cancer. 10; 99 (2): 193-200.<br />

Sahoo L, Das K, Parhi J, Mukherjee S (2010). DNA fingerprinting of<br />

Flavobacterium columnare using RAPD-PCR. Ind. J. Micro. 50(1):10-<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4033-4039, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2564<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

cDNA, genomic sequence cloning and overexpression<br />

of cytochrome c oxidase gene (COX6b1) from the<br />

Ailuropoda melanoleuca<br />

Jun Li 1,2 , Yiling Hou 1,2 , Wanru Hou 1,2 *, Bing Sun 1,2 and Xiulan Su 1,2<br />

1 College of Life Science, China West Normal University, 637009, Nanchong, Sichuan, People’s Republic of China.<br />

2 Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), People’s Republic of<br />

China.<br />

Accepted 7 April, 2011<br />

Cytochrome c oxidase (COX) is a component of the mitochondria respiratory chain. COX6b1 is one of<br />

the COX small subunits encoded by nuclear genes. In currently study, the cDNA and the genomic<br />

sequence of COX6b1 were successfully cloned from the Ailuropoda melanoleuca with the RT-PCR<br />

technology and Touchdown-PCR, respectively. The length of cDNA fragment cloned is 341 bp in size,<br />

containing an open reading frame (ORF) of 261 bp encoding 86 amino acids. The length of the genomic<br />

sequence is 4657 bp, which was found to possess 3 exons and 2 introns. Alignment analysis indicated<br />

that the nucleotide sequence and the deduced amino acid sequence are highly conserved with other six<br />

species studied. Topology prediction showed that there are one N-glycosylation site, one protein kinase<br />

C phosphorylation site, two casein kinase II phosphorylation sites, two N-myristoylation sites and one<br />

microbodies C-terminal targeting signal site in the COX6b1 protein of the A. melanoleuca. The COX6b1<br />

gene was also overexpressed in Escherichia coli and the result indicated that COX6b1 fusion with the<br />

HIS-tagged gave rise to the accumulation of an expected 13.46 kDa polypeptide. The expression<br />

product obtained could be used to purify the protein and study its function further.<br />

Key words: Cytochrome c oxidase subunit Vib polypeptide 1 (COX6b1), clone, overexpression, Ailuropoda<br />

melanoleuca (Giant Panda), sequences analysis.<br />

INTRODUCTION<br />

Cytochrome c oxidase (COX; EC 1.9.3.1), the terminal<br />

enzyme complex of the mitochondria respiratory chain, is<br />

a multisubunit enzyme located in the mitochondrial inner<br />

membrane. It oxidizes cytochrome c and transfers<br />

electrons to molecular oxygen. Meanwhile, COX is an<br />

important energy-generating enzyme critical for the<br />

proper functioning of most cells, especially those of highly<br />

oxidative organs, such as the brain (Capaldia, 1990). In<br />

mammals, it is comprised of 13 protein subunits of which<br />

three large subunits (subunit I to III) are encoded by the<br />

mitochondrial genome (mtDNA), constituting the catalytic<br />

core of the enzyme, and the remaining 10 subunits (IV,<br />

*Corresponding author. E-mail: hwr168@yahoo.com.cn.<br />

Tel/Fax: +86-0817-2568653.<br />

Va, b, VIa, b, c, VIIa, b, c and VIII) are nuclear genes<br />

(nDNA) products, which are synthesized on cytoplasmic<br />

ribosomes and are imported into the mitochondria by<br />

leading sequences (Cao et al., 1988; Barrientos et al.,<br />

2002).<br />

Study had confirmed that all 13 subunits are essential<br />

for a functional holoenzyme (Liang et al., 2006). The<br />

mtDNA-encoded subunits provide the catalytic core of<br />

cytochrome-c oxidase, and the nuclear-encoded subunits<br />

may be involved in the regulation and assembly of the<br />

complex (Yanamura et al., 1988). As for COX6b1 gene,<br />

Massa et al. (2008) found that it is associated with severe<br />

infantile encephalomyopathy. Cui et al. (2010) also<br />

pointed out that the loss of COX6b1 genes leads to<br />

mitochondria dysfunction that could cause apoptosis of<br />

the blastocyst-stage embryos.<br />

Ailuropoda melanoleuca, a rare and endangered<br />

species currently found only in China, has a very high


4034 Afr. J. Biotechnol.<br />

ecological, scientific, economic, cultural and aesthetic<br />

value. At present, the COX genes have been extensively<br />

characterized in mammals (Bachman, 1995; Sacconi et<br />

al., 2005; Wu et al., 2007; Du et al., 2007), whereas there<br />

is a handful of report about the COX6b1 genes of A.<br />

melanoleuca.<br />

In this study, RT-PCR technique was used for<br />

amplifying the cDNA of COX6b1 gene from the total RNA.<br />

Touchdown-PCR technique was employed to amplify the<br />

genomic sequence of the COX6b1 from extraction DNA<br />

with the skeleton muscle of the A. melanoleuca. The<br />

characteristics of this gene was identified by homologous<br />

analysis according to the related sequences in GenBank,<br />

and the overexpression of the gene was conducted in<br />

Escherichia coli using pET28a plasmids. The research<br />

can provide a scientific data to enrich the species<br />

database.<br />

MATERIALS AND METHODS<br />

Skeletal muscle was collected from a dead A. melanoleuca at the<br />

Wolong Conservation Center of the A. melanoleuca, Sichuan,<br />

China. The collected skeletal muscle was frozen in liquid nitrogen<br />

for DNA and RNA isolation.<br />

DNA and RNA extraction<br />

Approximately 500 mg muscle tissue of A. melanoleuca was ground<br />

to fine powder in liquid nitrogen, and the powder was then<br />

immediately transferred into a 2 ml centrifuge tube and carefully<br />

added to 1 ml cold lysis buffer (100 mM Tris-HCl, pH 8.0, 100 mM<br />

EDTA and 0.5% SDS). The mixture was incubated at 65°C at least<br />

1 h with gently shaking occasionally. After incubation, the mixture<br />

was centrifuged with 10000 rpm for 10 min at 4°C. Subsequently,<br />

the supernatant was carefully transferred to a new 2 ml centrifuge<br />

tube and an equal volume of chloroform : isoamylalcohol (24:1) was<br />

added and mixed gently by inversion for 1 min, followed by keeping<br />

for 10 min at room temperature and centrifugation at 10000 rpm for<br />

10 min at 4°C. The aqueous phase was carefully transferred to a<br />

fresh tube, and two third volumes of ice-cold isopropanol were<br />

added. Finally, the DNA obtained was then dissolved in TE buffer<br />

and kept at -20°C.<br />

Total RNAs were isolated from the muscle tissue of A.<br />

melanoleuca using the Total Tissue/Cell RNA Extraction Kits (Waton<br />

Inc., Shanghai, China) according to the manufacturer's instructions.<br />

RNA sample was dissolved in RNase-free water, and kept at -70°C.<br />

DNA and RNA sample quality was determined by electrophoresis<br />

on 1.0% agarose gel and quantification was performed spectrophotometrically.<br />

Primers design, RT-PCR and cloning of cDNA sequence<br />

The PCR primers were designed by Primer Premier 5.0, according<br />

to the mRNA sequence of COX6b1 from Homo sapiens<br />

(NM_001863), Bos taurus (NM_176675), Pongo abelii<br />

(NM_001131741), Sus scrofa (NM-001097497), Mus musculus<br />

(NM_025628) and Rattus norvegicus (NM_001145273). The<br />

specific primers of cDNA sequence are as follows: COX6b1-F:<br />

CTTTGCTGAGGGTCACATTG; COX6b1-R: GAGAGGTG [G/A]<br />

GTGGAGCCAG.<br />

Total RNAs were utilized to synthesis the first-stranded cDNAs<br />

using a reverse transcription kit with Oligo dT as the primers<br />

according to the manufacturer’s instructions (Promega). The 20 µl<br />

of first-strand cDNA synthesis reaction system included 1 µg of total<br />

RNAs, 5mM of MgCl2, 1mM of dNTPs, 0.5µg of Oligo dT15, 10U/µL<br />

of RNase inhibitor, and 15 U of AMV reverse transcriptase, and was<br />

incubated at 42°C for 60 min.<br />

The first-strand cDNA synthesized was used as a template for<br />

cds sequence amplification. The total reaction volume for DNA<br />

amplification was 25 l. The reaction mixtures contained 1.5 mM of<br />

MgCl2, 200 M of each of dATP, dGTP, dCTP and dTTP (Omega),<br />

0.3 M of each primer, 5.0 units of Taq plus DNA polymerase<br />

(Sangon Co, Shanghai, China). DNA amplification was performed<br />

using a MJ Research thermocycler, Model PTC-200 (Watertown,<br />

MA) with a program of 4 min at 94.0°C, followed by 30 cycles at<br />

94.0°C for 30 s, 45°C for 30 s, and 72.0°C for 1 min, then ended<br />

with the final extension for 10 min at 72.0°C. After amplification,<br />

PCR products were separated by electrophoresis in 1.5% agarose<br />

gel with 1× TAE (Tris-acetate-EDTA) buffer, stained with ethidium<br />

bromide and visualized under UV light. The expected fragments of<br />

PCR products were harvested and purified from gel using a DNA<br />

estraction kit (Omega, China), and then ligated into a pET28a<br />

vector at 16°C for 12 h. The recombinant molecules were<br />

transformed into E. coli complete cells (JM109), and then spread on<br />

the LB-plate containing 50 g/ml ampicillin, 200 mg/ml IPTG<br />

(isopropyl-beta- D-thiogalactopyranoside) and 20 mg/ml X-gal.<br />

Plasmid DNA was isolated and digested by PstI and ScaII to verify<br />

the insert size. Plasmid DNA was sequenced by Huada<br />

Zhongsheng Scientific Corporation (Beijing, China).<br />

Cloning the genomic sequence of COX6b1<br />

The PCR primers were designed based on the cDNA sequence of<br />

the COX6b1 from the A. melanoleuca obtained earlier and complete<br />

genomic sequences of the COX6b1 from four mammals studied<br />

including H. sapiens, M. musculus, R. norvegicus and B. taurus.<br />

The specific primers of genomic sequence are as follows: COX6b1-<br />

F: AGAGTCAGCACCATGGCAG; COX6b1-R:<br />

GAGAGGTGGGTGGAGCCAG.<br />

The genomic sequence of the COX6b1 gene was amplified using<br />

Touchdown-PCR with the following conditions: 94°C for 30 s, 62°C<br />

for 45 s, 72°C for 2 min in the first cycle and the annealing<br />

temperature deceased 1°C per cycle; after 10 cycles conditions<br />

changed to 94°C for 30 s, 52°C for 45 s, 72°C for 2 min for another<br />

25 cycles. The fragment amplified was also purified, ligated into the<br />

clone vector and tansformed into the E. coli competent cells. Finally,<br />

the recombinant fragment was sequenced by Sangon (Shanghai,<br />

China).<br />

Construction of the expression vector and overexpression of<br />

recombinant COX6b1<br />

PCR fragment corresponding to the COX6b1 polypeptide was<br />

amplified from the COX6b1 cDNA clone with the forward primer, 5’-<br />

CAGAATTCATGGCAGAAGACA (EcoR I)-3’ and reverse primer, 5’-<br />

CGAAGCTTCAGATCTTCCCA (Hind III)-3’, respectively. The PCR<br />

was performed at 94°C for 3 min; 35 cycles of 30 s at 94°C, 45 s at<br />

55°C and 1 min at 72°C; 8 min at 72°C. The amplified PCR product<br />

was cut and ligated into corresponding site of pET28a vector<br />

(Stratagen). The resulting construct was transformed into E. coli<br />

BL21 (DE3) strain (Novagen) and used for the induction by adding<br />

IPTG at an OD600 of 0.6 and culturing further for 4 h at 37°C, using<br />

the empty vector transformed BL21 (DE3) as a control. The<br />

recombinant protein samples were induced after 0, 0.5, 1.5, 2, 2.5,<br />

3, 3.5 and 4 h and then separated by SDS-PAGE and stained with<br />

Commassie blue R250.


Data analysis<br />

The sequence data were analyzed by GenScan<br />

(http://genes.mit. edu/GENSCAN.html). Homology research of the<br />

A. melanoleuca COX6b1 gene as compared with the gene<br />

sequences of other species was performed using Blast 2.1<br />

(http://www.ncbi.nlm.nih.gov/blast/). Open reading frame (ORF) of<br />

the DNA sequence was searched by ORF finder<br />

(http://www.ncbi.nlm.nih.gov/gorf/gorf.html). Protein structure of the<br />

COX6b1 sequence cloned was deduced using predict protein<br />

software (http:// cubic. Bioc. columbia.edu/predictprotein/). Multiple<br />

sequence alignment was performed by DNAMAN 6.0. The<br />

prediction of protein functional sites and biochemical characteristics<br />

depend on the software ExPASy Proteomics Server. Protein tertiary<br />

structure was simulated by SWISS MODEL<br />

(http://swissmodel.expasy.org/). The construction of evolutionary<br />

tree relies on MEGA4.0RESULTS<br />

RESULTS<br />

Analysis of the cDNA of COX6b1 from the A.<br />

melanoleuca<br />

The electrophoresis showed that the amplified cDNA<br />

fragment was about 500 bp in size (Figure not shown).<br />

The sequencing result indicated that the length of the<br />

cDNA cloned is 436 bp, corresponding to the<br />

eletrophoretic result. Blast research analysis revealed<br />

that the COX6b1 cDNA sequence cloned share high<br />

similarities with other mammals reported, including H.<br />

sapiens, B. taurus, S. scrofa, P. abelii, M. musculus and<br />

R. norvegicus, especially the similarity is up to 95.79%<br />

with B. Taurus (Taber 1). On the basis of the high identity,<br />

we concluded that we had cloned the cDNA encoding the<br />

COX6b1 protein of A. melanoleuca. The COX6b1 cDNA<br />

sequence has been submitted to Genbank (accession<br />

number: HQ326486), which contained a 261-bp-length<br />

ORF encoding 86 amino acids (Figure 1).<br />

Analysis of the genomic sequence of COX6b1<br />

The electrophoresis showed that about 5000-bp-length<br />

DNA fragment was amplified with primers COX6b1 -F<br />

and COX6b1 –R (Figure not shown). The sequencing<br />

indicated that the length of the DNA fragment cloned is<br />

4657 bp. The genomic sequence of the COX6b1 has<br />

been submitted to Genbank (accession number:<br />

HQ326485). The comparison of nucleotides sequence<br />

between the genomic and cDNA sequences indicated<br />

that genomic sequence cloned contains three exons and<br />

two introns with software Lasergene. The distribution of<br />

three exons is as follows: 13 to 118 bp; 1487 to 1587 bp;<br />

4584 to 4637 bp (Table 2).<br />

Comparison of the genomic sequences with some<br />

vertebrates (including H. sapiens, B. taurus, M. mulatta,<br />

P. abelii, M. musculus and X. tropicalis) was performed by<br />

DNAMAN 6.0. The result demonstrated that their<br />

sequences have high similarity. Nevertheless, the number<br />

Li et al. 4035<br />

and length of exons are different among the species<br />

when they are compared (Table 2).<br />

Prediction and analysis of protein functional sites in<br />

COX6b1 protein of the A. melanoleuca<br />

The results indicated that the COX6b1 protein sequence<br />

of A. melanoleuca share over 85% similarities with six<br />

species when they are compared, especially high<br />

similarities with B. Taurus (96.51%) and S. scrofa<br />

(97.67%). Primary structure analysis revealed that the<br />

molecular weight of the putative COX6b1 protein is 10.16<br />

kDa with a theoretical pI of 8.83. Topology prediction<br />

showed that there are one N-glycosylation site, one<br />

protein kinase C phosphorylation site, two casein kinase<br />

II phosphorylation sites, two N-myristoylation sites and<br />

one microbodies C-terminal targeting signalsite in<br />

COX6b1 protein of A. melanoleuca (Figure 2). There was<br />

complete consistent in the comparison of functional sites,<br />

except that B. taurus has one more protein kinase C<br />

phosphorylation site than other species related.<br />

Overexpression of the COX6b1 gene in E. coli<br />

The COX6b1 gene was overexpressed in E. coli, using<br />

pET28a plasmids carrying strong promoter and<br />

terminator sequences derived from phage T7. Therefore,<br />

the COX6b1 gene was amplified individually by PCR and<br />

cloned in a pET28a plasmid, resulting in a gene fusion<br />

coding for a protein bearing a HIS-tag extension at the N<br />

terminus. The product of expression was tested by SDS-<br />

PAGE analysis of protein extracted from recombinant E.<br />

coli BL21 strains (Figure 4). The results indicated that the<br />

protein COX6b1 fusion with the N-terminally HIs-tagged<br />

gave rise to the accumulation of an expected 13.46 kDa<br />

polypeptide that formed inclusion bodies. Apparently, the<br />

recombinant protein was expressed after an hour of<br />

induction, and it reached the highest level at 3 h after<br />

induction. These results suggested that the protein is<br />

active and it is just the protein encoded by the COX6b1<br />

from the A. melanoleuca. The expression product<br />

obtained could be used to purify the protein and study its<br />

function further.<br />

DISCUSSION<br />

COX is a key enzyme in the process of oxidative<br />

phosphorylation of mitochondria respiratory chain, and its<br />

damage can directly affect mitochondria function. Studies<br />

has also shown that mutation in a nulear-encoded COX<br />

subunit, COX6b1, will cause drial encephalomyopathy<br />

due to complex IV deficiency (Massa et al., 2008). In this<br />

study, we cloned successfully, COX6b1 gene from the A.<br />

melanoleuca, which share high identity on the nucleotide<br />

sequence and the deduced amino acid sequence with H.


4036 Afr. J. Biotechnol.<br />

Figure 1. Nucleotide sequence and putative amino acid sequence of COX6b1 cDNA from the<br />

A. melanoleuca. The asterisk (*) represents termination codon.<br />

Figure 2. Comparison of functional sites based on the COX6b1 amino acid sequences among<br />

the different species. : N-glycosylation site; : protein kinase C phosphorylation site; :<br />

casein kinase II phosphorylation site; N-myristoylation site; : microbodies C-terminal<br />

targeting signal; polymorphic site.


Li et al. 4037<br />

Table 1. The comparison of gene sequence and encoding sequence with Cox6b1 among the A. melanoleuca, human and other<br />

four species (%).<br />

Parameter H. sapiens B. taurus P. abelii S. scrofa M. musculus R. norvegicu<br />

cds similarity (100%) 90.42 95.79 89.27 95.02 91.57 91.19<br />

aa similarity (100%) 86.05 96.51 84.88 97.67 95.35 95.35<br />

Molecular<br />

(kD)<br />

weight<br />

10.19 10.16 10.19 10.19 10.07 10.07<br />

Isoelectric point (PI) 6.85 8.51 6.85 8.51 8.81 8.81<br />

Table 2. The length comparision of the Cox6b1 genomic sequence between A. melanoleuca and other six.<br />

Species Size (bp) Number of exons Join site in the CDS Accession number<br />

A. melanoleuca 4657 3 13-118; 1487-1587; 4584-4637 HQ326485<br />

H. sapiens 10562 3 3022..3127, 6349..6449, 10372..10425 NG_012193<br />

B. taurus 8879 2 1644..1749, 8690..8744 NC_007316<br />

M. mulatta 11268 3 2866..2974, 7119..7219, 11081..11134 NC_007876<br />

P. abelii 9889 2 5274..5375,9697..9750 NC_012610<br />

M. musculus 9178 3 1547..1652, 2637..2737, 8990..9043 NC_000073<br />

X. tropicalis 10357 2 8856..>8957, 10160..10213 NW_003164399<br />

Figure 3. ME evolution tree constructed based on cds sequence of variety species.<br />

sapiens, B. taurus, P. abelii, S. scrofa, R. norvegicus and<br />

M. musculus as well as on the deduced amino acid<br />

sequence. The pI and molecular weight with COX6b1 of<br />

A. melanoleuca are close to the compared six species<br />

(Table 1). These results suggested that the gene we<br />

cloned is COX6b1 gene of A. melanoleuca.<br />

Schmidt et al. (2002) examined the amino acid<br />

replacements for 16 genes that encode the proteins of<br />

the COX holoenzyme in eight vertebrate species, and<br />

found that COX6b1 have undergone acceleration in<br />

amino acid replacement rates. They thought the mature<br />

portions of these genes are likely to have undergone a<br />

functionally significant change to adapt in nature. In this<br />

study, a variety of polymorphic sites were found on the<br />

nucleotide sequence, but they belong mostly to<br />

synonymous mutation. Furthermore, a lot of amino acid<br />

variation was also found by the comparison of amino acid<br />

sequence (Figure 2). The result shows that the change of<br />

A. melanoleuca and B. Taurus, S. scrofa in amino acid<br />

appeared largely consistency. We also analyzed the<br />

function sites of COX6b1 and found that the function sites<br />

are greatly consistent in seven mammal species when<br />

they are compared, except that the B. Taurus has one<br />

more casein kinase II phosphorylation site (Figure 2).<br />

These results are in agreement with the results obtained<br />

by the ME (minimum evolution) evolutionary tree of<br />

COX6b1 (Figure 3). In addition, Lu et al. (2010) found<br />

that the untranslated region (UTR) polymorphisms of<br />

COX6b1 subunit gene is pervasive and considered COX<br />

subunit gene heterogeneity may mediate COX functional<br />

variation. In this paper, the genomic sequence of<br />

COX6b1 was compared by DNAMAN 6.0, and UTR


4038 Afr. J. Biotechnol.<br />

Figure 4. Protein extracted from recombinant E. coli BL21 strains were analyzed by SDS-PAGE gel<br />

stained with Commassie blue R250. Numbers on the right shows the molecular weight and the arrow<br />

indicates the recombinant protein bands induced by IPTG with 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5 and 4 h<br />

(lanes 2 to 9), respectively. Lane 1 represents the products of the E. coli strains with the empty vectors.<br />

polymorphisms of COX6b1 subunit gene were also<br />

found.<br />

As is well known, the biogenesis of cytochrome c<br />

oxidase is a complex process controlled by two distinct<br />

genomes. Meanwhile, NRF (nuclear respiratory factor)<br />

also act as an important mediator of coordinated<br />

regulation of all ten nuclear-encoded COX subunit genes<br />

(Scarpulla, 2002; Shilpa et al., 2009). COX6b1 is one of<br />

COX small subunits encoded by nuclear genes. Similarly,<br />

NRF will also have an effect on COX6b1. Furthermore,<br />

Taanman’s experiment in 1990 have demonstrated that<br />

the steady-state levels of the COX6b transcript were<br />

different in the tissues examined in human liver, skeletal<br />

muscle, MOLT-4 cells and fibroblasts. In this paper, we<br />

achieved only efficient express in a prokaryotic organism.<br />

The gene’s transcription level needs further research.<br />

The cDNA and the genomic sequence of COX6b1 gene<br />

were cloned successfully from the skeleton muscle of the<br />

A. melanoleuca, respectively, which were sequenced and<br />

analyzed preliminarily. The cDNA of the COX6b1 gene<br />

was also overexpressed in E. coli. The data will enrich<br />

and supplement the information about COX6b1. In<br />

addition, it will contribute to the protection for gene<br />

resources and the discussion of the genetic<br />

polymorphism.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the Key Chinese National<br />

Natural Science Foundation (30470261), Application<br />

Technology Project in Sichuan Province (2006J13-057),<br />

Key Scientific Research Foundation of Educational<br />

Committee of Sichuan Province (07ZA120), Key<br />

Discipline Construction Project in Sichuan Province<br />

(SZD0420), Sichuan Key Discipline Zoology Construction<br />

Funds Subsidization Project (404001), Application<br />

Infrastructure Projects in Sichuan Province (2009JY0061)<br />

and Education Department Youth Fund Project of<br />

Sichuan Province (092B088).<br />

REFERENCES<br />

Bachman NJ (1995). Isolation and characterization of the functional<br />

gene encoding bovine cytochrome c oxidase subunit IV. Gene. 162:<br />

313-318.<br />

Barrientos A, Barros MH, Valnot I, Rötig A, Rustin P, Tzagoloff A (2002).<br />

Cytochrome oxidase in health and disease. Gene. 286 (1): 53-63.<br />

Cao XN, Hengst L, Schlerf A, Droste M, Mengel T, Kadenbach B (1988).<br />

Complexity of nucleus-encoded genes of mammalian cytochrome c<br />

oxidase. Ann N Y Acad Sci. 550: 337-47.<br />

Capaldi RA(1990). Structure and function of cytochrome c oxidase.<br />

Annu Rev. Biochem. 59: 569-596.<br />

Capaldi RA, Gonzalez HD, Takamiya S (1986). Sequence homologies<br />

and structural similarities between the polypeptides of yeast and beef<br />

heart cytochrome c oxidase. FEBS Lett. 207(1): 11-71.<br />

Cui XS, Li XY, Jeong YJ, Jun JH, Kim NH (2006). Gene expression of<br />

cox5a, 5b, or 6b1 and their roles in preimplantation mouse embryos.<br />

Biol. Reprod. 74(3): 601-10.<br />

Du YJ, Li YX, WuX, Chen Y, Hou WR (2007). Cloning and preliminary<br />

analysis to mitochondrial cytochrome C oxidase subunit ¡ gene of<br />

asiatic black bear sichuan subspecies (Ursus thibetanus mupinensis).


J. Sichuan University. 44(6): 1363-1368.<br />

Liang HL, Ongwijitwat S, Wong-Riley MT (2006). Bigenomic functional<br />

regulation of all 13 cytochrome c oxidase subunit transcripts in rat<br />

neurons in vitro and in vivo. Neuroscience. 140 (1): 177-190.<br />

Lu J, Wang K, Rodova M, Esteves R, Berry D, E L, Crafter A, Barrett M,<br />

Cardoso SM, Onyango I, Parker WD, Fontes J, Burns JM, Swerdlow<br />

RH. Polymorphic variation in cytochrome oxidase subunit genes<br />

(2010). J. alzheimer’s dis. 21(1): 141–154.<br />

Massa V, Fernandez-Vizarra E, Alshahwan S, Bakhsh E, Goffrini P,<br />

Ferrero I, Mereghetti P, D'Adamo P, Gasparini P, Zeviani M (2008).<br />

Severe infantile encephalomyopathy caused by a mutation in<br />

COX6B1, a nucleus-encoded subunit of cytochrome c oxidase. Am.<br />

J. Hum. Genet. 82 (6): 1281-1289.<br />

Sacconi S, Trevisson E, Pistollato F, Baldoin MC, Rezzonico R, Bourget<br />

I, Desnuelle C, Tenconi R, Basso G, DiMauro S, Salviati L (2005).<br />

hCOX18 and hCOX19: two human genes involved in cytochrome c<br />

oxidase assembly. Biochem. biophys res. commun. 337 (3): 832-839.<br />

Scarpulla RC (2002). Nuclear activators and coactivators in mammalian<br />

mitochondrial biogenesis. Biochim. biophys acta. 1576(1-2):1-14.<br />

Schmidt TR, Goodmana M, Grossman LI (2002). Amino acid<br />

replacement is rapid in primates for the mature polypeptides of COX<br />

subunits, but not for their targeting presequences. Gene. 286(1): 13–<br />

19.<br />

Shilpa SD, Huan LL, Margaret TT, Wong R (2009). Transcriptional<br />

coupling of synaptic transmission and energy metabolism: Role of<br />

nuclear respiratory factor 1 in co-regulating neuronal nitric oxide<br />

synthase and cytochrome c oxidase genes in neurons. Biochimica et<br />

Biophysica Acta.1793: 1604–1613.<br />

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Taanman JW, Schrage C, Ponne NJ, Das AT, Bolhuis PA, de Vries H,<br />

Agsteribbe E (1990). Isolation of cDNAs encoding subunit VIb of<br />

cytochrome c oxidase and steady-state levels of coxVIb mRNA in<br />

different tissues. Gene. 93(2):285-910.<br />

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analysis of mtDNA cytochrome c oxidase subunit¢ gene of the Asian<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4040-4045, 16 May, 2011<br />

Available online at http://www.academicjournals.org<br />

DOI: 10.5897/AJB10.857<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Effect of plant growth regulators (PGRs) on<br />

micropropagation of a vulnerable and high value<br />

medicinal plant Hedychium spicatum<br />

Dinesh Giri 1 * and Sushma Tamta 2<br />

1 Plant Tissue Culture Laboratory, Department of Botany, D.S.B. Campus, Kumaun University, Nainital, Uttarakhand,<br />

263002, India.<br />

2 Department of Biotechnology, Bhimtal Campus, Kumaun University, Nainital, Uttarakhand, India.<br />

Accepted 15 March, 2011<br />

A complete micropropagation protocol was developed by applying different plant growth regulators<br />

(PGRs) of a vulnerable and high value aromatic medicinal plant, Hedychium spicatum. Three cytokinins,<br />

6-benzyladenine (BA), kinetin (KN) and thidiazuron (TDZ) were used and among these, the lower<br />

concentration of TDZ (1.0 µM) was found to be the most effective treatment in relation to induction of<br />

high frequency shoot multiplication (83.33%), number of shoots per explant (3.86 shoots) and average<br />

number of shoots per flask (19.33 shoots). Indole-3-acetic acid (IAA), indole-3-butyric acid (IBA) and α-<br />

naphthalene acetic acid (NAA) were the used auxins in this study for in-vitro rooting. Among these used<br />

auxins, the lower concentration of IBA (2.5 µM) was the prominent plant growth regulator regarding in<br />

vitro rooting. Well rooted and healthy plantlets were obtained after 2 months of hardening and<br />

transferred to the field (1990 m) with 90.0% survival. On the basis of available literature, this is the first<br />

and significant study regarding the comparative effect of different PGRs on in-vitro propagation study<br />

of H. spicatum. This significant study could be useful for large scale propagation and ex-situ<br />

conservation of this vulnerable Himalayan species.<br />

Key words: Cytokinins, thidiazuron, shoot multiplication, in-vitro propagation, ex-situ conservation.<br />

INTRODUCTION<br />

Hedychium is one of the plant genus which is commonly<br />

used in the preparation of indigenous medicine. There<br />

are 50 species of Hedychium in tropical Asia (Kirtikar and<br />

Basu, 1984), 37 species in India and 8 species in<br />

Western Himalaya. Hedychium spicatum (Zingiberaceae),<br />

commonly known as kapoor kachri, van- haldi or ginger<br />

lilly, is distributed in subtropical Himalayas in the states of<br />

Assam, Arunanchal Pradesh and Uttarakhand at an<br />

altitude of 1000 to 3000 m. The root stock (rhizome) is<br />

useful in asthma, pain, foul breath, hiccough, vomiting<br />

and laxative, stomachache, carminative, stimulant tonic to<br />

the brain, in liver complaints, diarrhea and pains (Kirtikar<br />

and Basu, 1984).<br />

Rhizome extracts showed antimicrobial activity against<br />

*Corresponding author. E-mail: giri_gld@rediffmail.com.<br />

gram-positive and negative bacteria (Bisht et al., 2006).<br />

Recently, the crude extract of the rhizome has been used<br />

in the preparation of an anticancerous drug, PADMA 28<br />

(Nayab et al., 2004). Samant et al. (2007) reported that<br />

H. spicatum is commercially exploited from its natural<br />

area. According to the threat status of IUCN criteria, H.<br />

spicatum has become vulnerable (Samant and Pant,<br />

2006). It is also listed in near threatened category of the<br />

essential oil bearing plants (Samant and Palni, 2000).<br />

Hence, prioritization of this species needs to be done for<br />

propagation and conservation. Therefore, the present<br />

study was conducted to see the effect of different PGRs<br />

on micropropagation of this species.<br />

MATERIALS AND METHODS<br />

Seeds of H. spicatum were collected in the month of October to<br />

November, 2008, from Nainital catchment forest (1990 m) and


Table 1. Effects of cytokinins on in vitro shoot multiplication of H. spicatum using excised shoot tips in MS<br />

medium.<br />

Treatment (µM)<br />

Number of<br />

shoot/ flask<br />

Number of<br />

shoot/ explant<br />

Percentage shoot<br />

multiplication<br />

Giri and Tamta 4041<br />

Average shoot<br />

length (cm)<br />

Control (0.0) 05.00±0.00 - - 1.80±0.65<br />

BA (0.1) 05.66±0.88 1.13±0.17 53.33±6.66 3.92±0.30<br />

(1.0) 07.00±0.57 1.40±0.11 53.33±6.66 3.653±0.52<br />

(2.5) 08.66±1.45 1.73±0.29 43.33±23.33 3.214±0.41<br />

(5.0) 07.00±1.54 1.40±0.23 40.00±11.54 2.568±0.07<br />

(10.0) 05.66±0.33 1.13±0.06 40.00±11.54 2.632±0.36<br />

(20.0) 05.66±0.66 1.13±0.13 40.00±11.54 2.236±0.34<br />

KN (0.1) 07.66±1.76 1.46±0.40 76.66±8.81 4.94±0.36<br />

(1.0) 07.33±0.88 1.46±0.17 53.33±6.66 4.00±0.35<br />

(2.5) 07.00±1.52 1.40±0.30 73.33±13.33 4.54±0.95<br />

(5.0) 07.66±1.45 1.46±0.35 56.66±20.27 3.90±0.17<br />

(10.0) 07.33±0.33 1.13±0.26 40.00±11.54 3.52±0.23<br />

(20.0) 05.33±0.33 1.15±0.07 26.66±6.66 3.59±0.83<br />

TDZ (0.1) 10.66±1.20 2.13±0.24 83.33±12.01 1.52±0.08<br />

(1.0) 19.33±4.91 3.86±0.98 83.33±12.08 1.10±0.15<br />

(2.5) 16.66±0.88 2.66±0.54 63.33±14.52 2.01±0.34<br />

(5.0) 14.00±6.50 2.80±1.13 50.00±20.81 1.41±0.08<br />

(10.0) 08.33±1.76 1.16±0.35 56.66±20.27 1.53±0.03<br />

(20.0) 10.33±2.90 2.06±0.58 40.00±11.54 1.99±0.16<br />

Values are mean ± standard error, each treatment consisted of 15 explants (5 in each flask, 3 flasks per<br />

treatment). Data were recorded after 4 weeks of inoculation. - = no shoot multiplication.<br />

brought to the laboratory. Seeds were separated from spikes, air<br />

dried for 3 days at room temperature and stored at 4°C in the dark.<br />

After 65 days, seeds were taken out and washed under running tap<br />

water along with a mild detergent and treated with a systemic<br />

fungicide (Bavistin, 1% w/v, 15 min). Following washing with double<br />

distilled water, seeds were transferred to laminar air flow cabinet.<br />

Surface sterilization was carried out by using mercuric chloride<br />

(HgCl2, 0.1% w/v, 3 min) followed by washing with sterile distilled<br />

water (5 times). Seeds were inoculated (10 seeds per flask) on MS<br />

(Murashige and Skoog, 1962) basal medium containing agar (0.8%<br />

w/v) and transferred to the culture room. Three weeks after<br />

inoculation, shoot tips (size approximately 1.5 cm) were excised<br />

from in vitro germinated seedlings and inoculated on MS medium<br />

supplemented with different concentrations (0.1 to 20 µM) of 6benzyladenine<br />

(BA), kinetin (KN) and thidiazuron (TDZ) (Table 1)<br />

for shoot multiplication. In vitro generated microshoots were used to<br />

induce rooting. These microshoots (2.5 to 5.0 cm in length) were<br />

inoculated on MS medium supplemented with different concentrations<br />

of indole-3-acetic acid (IAA), indole-3-butyric acid (IBA) and<br />

α- naphthalene acetic acid (Table 2).<br />

All cultures were raised in 250 ml erlenmeyer flasks (100 ml<br />

medium in each flask). Sucrose (3.0%, w/v) was added as a carbon<br />

source and medium was gelled with agar (0.8%, w/v). The pH of the<br />

medium was adjusted to 5.8 before autoclaving (1.05 kg cm -2 ,<br />

121°C and 20 min). Cultures were maintained in a culture room at<br />

25 ± 1°C in 16/8 h light/dark photoperiodic cycle, with irradiance by<br />

cool fluorescent tubes (Philips 40 W).<br />

After rooting, the microshoots with well developed roots were<br />

taken out from the culture flasks and roots were then washed<br />

thoroughly with tap water to remove the adhering medium.<br />

Following washing, these plantlets were transferred to thermocole<br />

cups (8 cm height and 4 cm diameter) containing soil and farmyard<br />

manure (3:1, v/v). Transparent polythene bags were inverted over<br />

these thermocole cups (8 cm height and 4 cm diameter) to maintain<br />

the humidity and watered on alternate days. Initially, thermocole<br />

cups were kept inside a culture room for first four weeks and<br />

gradually removed to polyhouse (25 ± 1°C) for further growth. After<br />

2 months, these hardened plantlets were transferred to field (near<br />

department nursery) to study the survival rate of these in vitro<br />

raised plantlets.<br />

Statistical analysis<br />

Data were subjected to statistical analysis and standard error (SE)<br />

and ANOVA were calculated following Snedecor and Cochran<br />

(1967).<br />

RESULTS AND DISCUSSION<br />

Seeds started germinating within 15 days of inoculation<br />

on MS basal medium. After one week of germination (3<br />

weeks after inoculation), the explants (shoot tips, size<br />

approximately, 1.5 cm) from in-vitro germinated seedlings<br />

were excised and inoculated on MS medium supplemented<br />

with different concentrations of BA, KN and TDZ<br />

which resulted in multiple shoot formation. However,<br />

number of shoots per explant, as well as number of<br />

shoots per flask varied with the treatments (Table 1).<br />

Each shoot tip when cultured on MS basal medium<br />

(without PGRs), developed into a complete plantlet with<br />

profuse root system. MS medium when supplemented


4042 Afr. J. Biotechnol.<br />

Figure 1. Micropropagation of H. spicatum. A and B, Lower concentration of TDZ (1.0 µM) showed high frequency of shoot<br />

multiplication after 4 weeks of inoculation in MS medium; C, effect of cytokinins on shoot length after 8 weeks of inoculation in<br />

MS medium: II (KN) > I (BA) > III (TDZ); D, effect of auxins on rooting after 4 weeks of inoculation in MS medium; E, rooting in<br />

lower concentration of IBA (2.5 µM) after 8 weeks of root initiation; F, hardening of plantlets in a culture room; G, well rooted<br />

plants after two months of hardening (photograph taken just before field transfer); H, field transfer of plantlets (at department<br />

nursery); I, well grown plant in field after 3 months of field transfer.<br />

with different concentrations of BA had best response in<br />

2.5 µM in terms of the number of shoots per flask (8.66)<br />

and number of shoots per explant (1.73). However,<br />

percent shoot multiplication was maximum (53.33%) with<br />

0.1 and 1.0 µM BA, and the average shoot length was<br />

highest (3.92 cm) in lower concentration (0.1 µM) of BA.<br />

When KN was used for shoot multiplication, all the used<br />

concentrations (0.1 to 20 µM) had more or less same<br />

effect for three parameters (number of shoots per flask,<br />

number of shoots per explant and average shoot length)<br />

(Table 1), but percent shoot multiplication was maximum<br />

(76.66%) in lower concentration of KN (0.1 µM). Among<br />

various concentrations of TDZ tested, 1.0 µM TDZ<br />

produced maximum number of shoots (19.33 shoots per<br />

flask, 3.86 shoots per explant) within four weeks (Table 1<br />

and Figure 1A, B). Although other concentrations of TDZ<br />

also gave good shoot multiplication, the percent shoot<br />

multiplication was highest (83.33%) in lower concen-<br />

tration of TDZ (0.1 and 1.0 µM). The shoots formed in<br />

TDZ supplemented medium were short in length but the<br />

shoot length was quite good in KN supplemented MS<br />

medium (Figure 1C). Data were analyzed by using<br />

ANOVA which showed that among the used cytokinins,<br />

average number of shoots per flask, number of shoots<br />

per explant and average length of shoots were highly<br />

significant (p < 0.01 at 1%). However, only percent shoot<br />

multiplication was insignificant (p < 0.01 at 1%) within<br />

used concentrations of cytokinins (Table 2).<br />

Effect of different auxins on in vitro induction of rooting<br />

of microshoots of H. spicatum is summarized in Table 3.<br />

All the used auxins (concentration ranges from 0.1 to 10<br />

µM) were able to induce rooting in microshoots, including<br />

control (auxin free MS medium) also. However, rooting<br />

percentage in control was only 29.62% and it took 21<br />

days to root in comparison with other treatments where<br />

the differentiation of roots on the elongated shoots


Table 2. ANOVA summary.<br />

Source Dependent variable df Mean square F-value<br />

Cytokinins<br />

Concentration<br />

Average number of shoots per flask 2 215.73 16.25*<br />

Average number of shoots per explant 2 7.39 12.40*<br />

Percentage shoot multiplication 2 1220.63 2.51ns<br />

Average shoot length (cm) 2 22.46 37.39*<br />

Average number of shoots per flask 6 42.75 3.22 *<br />

Average number of shoots per explant 6 4.77 8.02*<br />

Percentage shoot multiplication 6 5039.68 10.37*<br />

Average shoot length (cm) 6 2.775 4.62*<br />

*Significant at 1% (p < 0.01) and ns, not significant; no, number; df, degree of freedom<br />

Table 3. Effect of different auxins on in vitro rooting of micro-shoots of H. spicatum on MS medium.<br />

Treatment<br />

(µM)<br />

Percentage<br />

rooting<br />

Time taken for root<br />

emergence (days)<br />

Average number of<br />

root per shoot<br />

Giri and Tamta 4043<br />

Average length<br />

of root (cm)<br />

Control (0.0) 29.62±3.70 21.00±1.15 1.15±0.03 1.86±0.03<br />

IAA (0.1) 40.73±3.70 14.00±0.57 2.74±0.41 2.20±0.20<br />

(1.0) 51.84±3.70 15.33±0.66 3.15±0.26 3.30±0.52<br />

(2.5) 66.66±0.00 10.66±0.88 3.40±0.87 3.15±0.30<br />

(5.0) 55.55±6.41 16.33±1.45 2.54±0.05 2.56±0.46<br />

(10.0) 33.33±0.00 15.00±0.57 2.17±0.12 1.78±0.33<br />

NAA (0.1) 44.44±6.41 11.66±1.45 3.12±0.43 2.94±0.10<br />

(1.0) 62.95±3.70 10.35±0.47 3.07±0.29 3.74±0.19<br />

(2.5) 81.47±3.70 10.5±0.57 3.83±0.16 3.92±0.18<br />

(5.0) 85.17±3.70 10.44±0.59 3.78±0.18 3.42±0.46<br />

(10.0) 37.03±3.70 11.77±0.39 2.59±0.02 2.54±0.22<br />

IBA (0.1) 59.25±3.70 11.00±0.57 3.86±0.16 3.30±0.20<br />

(1.0) 70.36±3.70 10.33±0.88 4.07±0.27 4.31±0.38<br />

(2.5) 96.29±3.70 10.24±0.58 5.25±0.08 4.87±0.39<br />

(5.0) 92.58±3.70 10.00±0.57 5.06±0.47 5.26±0.44<br />

(10.0) 55.55±6.41 12.00±0.57 3.27±0.46 3.01±0.25<br />

Values are mean ± standard error (SE). There are nine explants (three microshoots per flask) in each treatment.<br />

occurred over a period of 1 to 2 weeks (Table 3). Trend<br />

for percent rooting was similar in all the three used<br />

auxins, which means percent rooting increased with<br />

increasing concentration of auxins up to certain extent<br />

and then it decreased with increasing concentration of<br />

auxin. In case of NAA, rooting percentage increased with<br />

increasing concentration up to 5.0 µM, and 5.0 µM NAA<br />

was able to induce 85.17% rooting, then rooting percentage<br />

decreased to 37.03% as the concentration increased<br />

to 10.0 µM. Similar trend was observed in microshoots<br />

which were inoculated in IAA and IBA supplemented MS<br />

medium. In these two auxin treatments, percentage<br />

rooting increased only up to 2.5 µM concentration and<br />

then it decreased with increasing concentration (Table 3).<br />

Among different concentration of IAA, 2.5 µM concentration<br />

enhanced maximum rooting percentage (66.66%)<br />

within 10 days of inoculation. The average number of<br />

roots per shoot was highest (3.40 roots/shoot) in 2.5 µM<br />

IAA, while 1.0 µM showed maximum average length of<br />

roots (3.3 cm). Percent rooting was improved up to<br />

85.0% by using 5.0 µM of NAA within 10 days of inoculation,<br />

however, the lower concentration of NAA (2.5 µM )<br />

showed best response in relation to the average number<br />

of roots per shoot (3.83 roots) and average length of<br />

roots (3.92 cm). Among various concentrations of IBA,<br />

the lower concentration (2.5 µM) showed maximum


4044 Afr. J. Biotechnol.<br />

Table 4. ANOVA summary.<br />

Source<br />

Percentage rooting<br />

Time taken for root<br />

emergence (in day)<br />

Average number of<br />

root/shoot<br />

Average length of<br />

root (cm)<br />

DF MS F-ratio DF MS F-ratio DF MS F-ratio DF MS F-ratio<br />

Concentration 5 3791.0 75.37* 5 128.0 57.80* 5 10.3 52.9* 5 10.39 36.67*<br />

Auxins 2 1982.0 39.40* 2 49.3 22.26* 2 7.40 38.0* 2 7.54 26.61*<br />

Concentration x auxins 10 160.4 3.19* 10 6.0 2.74** 10 0.60 3.1* 10 0.64 2.28**<br />

Error 36 50.29 36 2.2 36 0.19 36 0.28<br />

*Significant at 0.01 level (at 1%); ** significant at 0.05 level (5%).<br />

percent rooting (96.29%) and average number of roots<br />

per shoot (5.25 roots), while the average length of roots<br />

was 5.26 cm in 5.0 µM IBA supplemented medium. Out<br />

of these three used auxins, IBA showed best response in<br />

relation to percent rooting; average number of roots per<br />

shoot and average length of roots (Table 3 and Figure<br />

1D, E). Mean significance difference (at the 5% level)<br />

computed by applying ANOVA showed a significant<br />

difference among various parameters (percent rooting,<br />

time taken for root emergence (in days), average number<br />

of roots per shoot and average length of roots) (Table 4).<br />

One month after rooting, these plantlets were hardened<br />

under growth chamber for four weeks (Figure 1F). Well<br />

rooted and healthy plantlets were obtained after 2 months<br />

of hardening (Figure 1G) and transferred to the field condition<br />

(1990 m) with ninety percent survival rate (Figure<br />

1H and I).<br />

Therefore, on the basis of results obtained in this<br />

experiment, TDZ was found to be the most effective<br />

cytokinin for shoot multiplication, however, shoot lengths<br />

was better in KN supplemented medium. On the basis of<br />

literature, it is known that TDZ act as potent regulator for<br />

in vitro propagation system and as an effective mean of<br />

induction of adventitious shoots in a number of plant<br />

species (Huettman and Preece, 1993; Lu, 1993). It has<br />

been known to promote cytokinins-like activity similar to<br />

that of N 6 substituted adenine derivatives and has been<br />

used in tissue culture studies since 1982 (Mok et al.,<br />

1982; Siddique and Anis, 2007). TDZ stimulate cytokinins<br />

activity and it is a better substitute of other cytokinins like<br />

BA and KN that are generally used in tissue culture work<br />

(Kannan et al., 2007; Vinayak et al., 2009). Sujatha and<br />

Reddy (1998), also reported that a higher shoot<br />

multiplication rate was obtained on TDZ supplemented<br />

media. However, it concomitant with a mark reduction in<br />

shoot length. Mok et al. (1987) showed that lower concentration<br />

of TDZ (0.3 µM) was very effective in<br />

multiplication of Broccoli (Brassica oleracea) and higher<br />

concentration (10.0 µM) induced abnormal growth and<br />

vitrification. TDZ stimulated shoot regeneration in a<br />

concentration-dependent manner, and higher concentration<br />

significantly reduced the height of newly formed<br />

shoot (Tomsone et al., 2004). Present study indicates<br />

that by using lower concentration of TDZ (1.0 µM), the<br />

shoot multiplication frequency was the best. The high<br />

efficiency of TDZ may be attributed to its ability to induce<br />

cytokinin accumulation (Victor et al., 1999) or enhance<br />

the accumulation and translocation of auxin within the<br />

tissue (Murthy et al., 1998). The growth promoting activity<br />

of thidiazuron was accompanied by high acid-phosphate<br />

level (Mok et al., 1987) and is stable and biologically<br />

active at low concentration than other cytokinins (Genkov<br />

and Ivanova, 1995).<br />

This significant study concluded that the lower concentration<br />

of IBA was the prominent PGRs regarding in vitro<br />

rooting. In the present study, the superiority of IBA over<br />

other auxins regarding in vitro rooting is supported by the<br />

result of other studies like Sreekumar et al. (2000) in<br />

Hemidesmus indicus, Mala and Bylinsky (2004) in<br />

Daphne cneorum, Kannan et al. (2006) in Caesalpinia<br />

bonduc and Gantait et al. (2009) in Dendrobium<br />

chrysotoxum. The present investigation suggests that the<br />

IAA showed least response in root formation. In comparison<br />

with other auxins, similar observation was reported<br />

by Kannan et al. (2007). However, it was clear that<br />

increasing the concentration of these auxins did not<br />

responded well in the present study. The variation in<br />

effectiveness of different auxin sources may be attributed<br />

to their differential affinity to auxin receptors involved in<br />

the rooting process, which may be cultivar specific<br />

(Tereso et al., 2008) and depend on the plant type<br />

(Nandgopal and Kumari, 2007). A disadvantage of micropropagation<br />

is the high mortality rate during the transfer<br />

of in vitro plantlets to ex vitro (Lovato et al., 1999). But in<br />

the present study, a very good survival rate (90.0%) was<br />

achieved in comparison to earlier studies like Badoni et<br />

al. (2010), where they got only 40 to 50% survival rate,<br />

and Koul et al. (2005) that reported 80 to 85% survival<br />

rate. There were no previous literatures available on the<br />

comparative study that applied these three different<br />

auxins on in vitro rooting of this species. This significant<br />

study shows that the lower concentration of IBA was the<br />

prominent plant growth regulator regarding in vitro<br />

rooting.<br />

On the basis of available literature regarding micropropagation<br />

study of H. spicatum (Koul et al., 2005;<br />

Badoni et al., 2010), there was no such type of comparative<br />

study using different plant growth regulators and


this would be the first report on this species. This<br />

significant study concluded that, by using lower concentrations<br />

of TDZ (1.0 µM) and IBA (2.5 µM), it could be<br />

able to achieve a number of in vitro raised plantlets within<br />

a limited period of time. Beside propagation, this study<br />

would also become an ex situ conservation strategy of<br />

this vulnerable Himalayan species.<br />

ACKNOWLEDEGMENT<br />

Authors are thankful to the head of department for<br />

providing necessary facility in the department.<br />

REFERENCES<br />

Badoni A, Bisht C, Chauhan JS (2010). Micropropagation of Hedychium<br />

spicatum Smith using in-vitro shoot tip. Stem Cell. 1(1): 11-13.<br />

Bisht GS, Awasthi AK, Dhole TN (2006). Antimicrobial activity of<br />

Hedychium spicatum. Fitoterapia, 77: 240-242.<br />

Gantait S, Mandal N, Das PK (2009). Impact of auxins and activated<br />

charcoal on in-vitro rooting of Dendrobium chrysotoxum Lindl. Cv.<br />

Golden Boy. J. of Tropical Agric. 47(1-2): 84-86.<br />

Genkov T, Ivanova I (1995). Effect of cytokinin-active phenyl urea<br />

derivatives on shoot multiplication, peroxidase and superoxide<br />

dismutase activities of in-vitro cultured Carnation. Bulg. J. Plant<br />

Physiol. 21(1)73:83.<br />

Huettman MJ, Preece JE (1993). Thidiazuron: a potent cytokinin for<br />

woody plant tissue culture. Plant Cell Tissue Organ Cult. 33: 105-<br />

119.<br />

Kannan P, Premkumar A, Ignacimuthu S (2006). Organogenesis from<br />

stem explants of Caesalpinia bonduc. J. Trop. Med. Plants. 7: 95-<br />

100.<br />

Kannan P, Premkumar A, Ignacimuthu S (2007). Thidiazuron induced<br />

shoot regeneration in the endangered species, Exacum<br />

travancoricum Beedi. Ind. J. Biotechnol. 6: 564-566.<br />

Kirtikar KR, Basu BD (1984). Indian medicinal plants. Bishan Singh,<br />

Mahendra Pal Singh, Dehradun. pp. 824-826.<br />

Koul S, Raina V, Sharma SK (2005). Conservation and propagation of<br />

high altitude medicinal and aromatic plant: Hedychium spicatum. J.<br />

Plant Biochem. Biotechnol. 14: 57-59.<br />

Lovato PE, Schuepp H, Trouvelot A, Gianinazzi S (1999). In Mycorrhiza<br />

(eds Varma A and Hook B). Springer-Verlag. pp. 443-468.<br />

Lu CY (1993). The use of thidiazuron in tissue culture. In Vitro Cell Dev.<br />

Biol. 29, 92-96.<br />

Mala J, Bylinsky V (2004). Micropropagation of endangered species<br />

Daphne cneorum. Biol/ Plant. 48: 633-636.<br />

Mok MC, Mok DWS, Armstrong DJ, Shudo K, Isogai Y, Okamoto T<br />

(1982). Cytokinin activity of N-phenyl-N-1,2,3-thiadiazol-5-ylurea<br />

(thidiazuron). Phytochem. 21: 1509-1511.<br />

Giri and Tamta 4045<br />

Mok MC, Mok D, Turner J, Mujer C (1987). Biological and biochemical<br />

effects of cytokinins-active phenylurea derivatives in tissue culture<br />

systems. In Chemical Regulation in Tissue Culture: An Overview.<br />

Hort. Sci. 22(6): 1194-1197.<br />

Murashige T, Skoog F (1962). A revised medium for rapid growth and<br />

bio assays with tobacco tissue culture. Physiol. Plant. 15: 473-497.<br />

Murthy BNS, Murch SJ, Saxena PK (1998). Thiadiazuron: A potent invitro<br />

plant morphogenesis. In Vitro Cell Dev Biol. Plant, 34: 267-275.<br />

Nandgopal S, Kumari R (2007). Effectiveness of auxin induced in vitro<br />

root culture in Chicory. J. Central Eur. Agric. 8(1): 73-80.<br />

Nayab R, Aingorn H, Fallavollita L, Sallon S, Mechoulam R, Ginsburg I,<br />

Vlodavsky I, Brodt P (2004). PADMA-28, a traditional Tibetan herbal<br />

preparation, blocks cellular responses to bFGF and IGF-I.<br />

Inflammopharmacol. 12(4): 373-89.<br />

Samant SS, Palni LMS (2000). Diversity, distribution and indigenous<br />

uses of essential oil yielding medicinal plants of Indian Himalayan<br />

region. J. Med. Arom. Plant Sci. 22: 671-684.<br />

Samant SS, Pant S (2006). Diversity, Distribution, Pattern and<br />

conservation status of the plants used in liver Diseases/Ailments in<br />

Indian Himalaya region. J. Mountain Sci. 3: 28-47.<br />

Samant SS, Butola JS, Sharma A (2007). Assessment of Diversity,<br />

Distribution, Conservation Status and Preparation of Management<br />

Plan for Medicinal Plants in the Catchment Area of Parbati<br />

Hydroelectric Project Stage- III in Northwestern Himalaya. J.<br />

Mountain Sci. 4(1): 034-056.<br />

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basilicum using shoot tip explants pre-cultured in thidiazuron<br />

supplemented liquid medium. Biol. Plant. 51: 787-790.<br />

Snedecor GW, Cochran WG (1967). Statistical methods. Oxford and<br />

IBH Publishing. New Delhi, India.<br />

Sreekumar S, Seeni S, Pushpangadan P (2000). Micropropagation of<br />

Hemidesmus indicus for cultivation and production of 2-hydroxy-4methoxybenzaldehyde.<br />

Plant Cell Tissue Org. Cult. 62: 211-218.<br />

Sujatha M, Reddy TP (1998). Differential cytokinins effect on the<br />

stimulation of in-vitro shoot proliferation from meristematic exlant of<br />

Castor (Ricinus communis L). Plant Cell Rep. 17: 561-566.<br />

Tereso S, Miguel CM, Mascarenhas M, Roque A, Trindade H, Maroco<br />

J, Oliveira MM (2008) .Improved in vitro rooting of Prunus dulcis Mill.<br />

cultivars. Biol. Plant. 52: 437-444.<br />

Tomsone S, Gertnere D, Novikova D (2004). The influence of<br />

thidiazuron on shoot regeneration and proliferation of Rhododendron<br />

in-vitro. Acta Univ. Latv. Biol. 676: 239-242.<br />

Victor JMR, Murthy BNS, Murch SJ, Krishnaraj S, Saxena PK (1999).<br />

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Biotechnol. 8: 227-231.


African Journal of Biotechnology Vol. 10(20), pp. 4046-4056, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1968<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Genotype-dependent responses of wheat (Triticum<br />

aestivum L.) seedlings to drought, UV-B radiation and<br />

their combined stresses<br />

Liheng He 1 , Xiaoyun Jia 1 , Zhiqiang Gao 1 * and Runzhi Li 2<br />

1 Agronomy College, Shanxi Agricultural University, Taigu 030801, China.<br />

2 Department of Plant and Soil Science, University of Kentucky, Lexington, KY 40546, USA.<br />

Accepted 8 April, 2011<br />

Experiments were conducted under controlled conditions to investigate the growth and physiologicalbiochemical<br />

responses of wheat (Triticum aestivum L.) seedlings to UV-B, drought, and their combined<br />

stresses. Both UV-B and drought treatments retarded seedling growth with UV-B having worse impact<br />

on wheat plants. Chlorophyll content and relative water content (RWC) in leaves, as stress makers,<br />

were significantly affected by UV-B and drought, respectively. The increased rate and amount of H2O2<br />

were stress-different and genotype-dependent. Likely, the temporary expression patterns of antioxidant<br />

enzymes (superoxide dismutase, SOD, and catalase, CAT) and compounds (proline, and ascobate acid,<br />

AsA) exhibited differences under the tested stressful conditions in the two genotypes, indicating that<br />

they play significant roles in plant responses to these stresses. Pre-application of either stress<br />

reduced the damage caused by subsequent application of the other stress, and this induced defense<br />

was greater by UV-B than by drought. Compared to the stress applied separately, the combined<br />

application of drought and UV-B at the same time resulted in more adverse effects on the wheat<br />

seedlings of the susceptible variety, and more positive effects on the tolerant wheat genotype. These<br />

results provide novel insights into understanding the cellular and molecular mechanisms responsible<br />

for plant tolerance to various stresses and their interactions.<br />

Key words: Wheat (Triticum aestivum L.), UV-B radiation, drought, combined stress, antioxidant system,<br />

genotype.<br />

INTRODUCTION<br />

The ongoing depletion of stratosphere ozone layer is<br />

resulting in an increase of solar ultraviolet-B (UV-B)<br />

radiation (280 to 320 nm) reaching the earth’s surface, as<br />

measured in many geographic regions (McKenzie et al.,<br />

2003). The enhanced levels of UV-B radiation has been<br />

shown to have deleterious effects on biological organisms.<br />

Plants exhibit different responses to UV-B irradiation<br />

with respect to growth, production of dry matter and<br />

biochemical changes (Kramer et al., 1991). Some plant<br />

*Corresponding author. E-mail: gsshlh@hotmail.com or<br />

gaozhiqiang1964@126.com. Tel: +86 354 6289789.<br />

Abbreviations: SOD, Superoxide dismutase activity; CAT,<br />

catalase activity.<br />

species are unaffected by UV-B irradiation and several<br />

are apparently stimulated in their growth, but most<br />

species are sensitive and damaged (Teramura, 1983).<br />

UV-B irradiation can also influence the physiological<br />

responses of plants to the other environmental factors.<br />

Elevated UV-B irradiation limited the ability of wheat, rice<br />

and soybean to take advantage of the elevated CO2 in<br />

photosynthesis (Teramura et al., 1990), but however,<br />

enhanced heat tolerance of cucumber seedlings<br />

(Teklemariam and Blake, 2003).<br />

On the other hand, the effect of enhanced UV-B<br />

radiation on plants can be modified by other co-occurring<br />

stresses or by simply changing environmental factors like<br />

atmospheric CO2 (Bjorn et al., 1997). Temperature<br />

affected the extent of growth inhibition of cucumber<br />

cotyledons irradiated with UV-B (Takeuchi et al., 1993).<br />

Sensitivity of crop plants to UV-B is also influenced by


water regime, ambient levels of visible radiation and<br />

nutrient status (Manetas et al., 1997; Balakumar et al.,<br />

1993; Levizou and Manetas, 2001).<br />

Water stress or soil drought is an important restricting<br />

factor, which limits the productivity of many crops and<br />

affects both quality and quantity of the yield. Drought<br />

stress brings about a reduction in growth rate, stem<br />

elongation, leaf expansion and stomatal movements<br />

(Hsiao, 1973). It also affect various physiological and biochemical<br />

processes governing plant growth and<br />

productivity (Daie, 1988). Under field conditions plants<br />

usually experience several stresses simultaneously. The<br />

stresses may cause a variety of plant responses which<br />

can be additive, synergistic or antagonistic.<br />

In many cases, UV-B irradiation appears companying<br />

with drought stress during crop plant growth seasons.<br />

Elucidation of the interaction between drought and UV-B<br />

stresses and their effects on plant growth and development<br />

would help in understanding the mechanism<br />

responsible for plant adaptation to changing environmental<br />

conditions and developing agronomic systems for<br />

crop productions. Although the responses of plants to<br />

UV-B or drought have been intensively investigated,<br />

evidence of study in interaction between UV-B exposure<br />

and drought stress in plants had just emerged in the<br />

latest years. The mechanisms of sensitivity or tolerance<br />

of crop plants, either in growth and yield, to combined<br />

stresses remain unknown. Particularly, genotypic effects<br />

on plant responses to the two-stress combination are still<br />

unclear.<br />

Wheat (Triticum aestivum L.), as one of the crucially<br />

important crops in the global food supply, is mainly<br />

distributed in the mid-latitude regions in the northern<br />

hemisphere (Lantican et al., 2005) where UV-B radiation<br />

and drought naturally occur simultaneously or subsequently<br />

during wheat growth seasons. Therefore, the<br />

purpose of this study was to investigate and compare<br />

their effect and interaction on some biochemical stress<br />

markers and stress defense enzyme systems in seedlings<br />

of winter wheat. We also evaluated the genotypic<br />

differences in physiological response of wheat to UV-B<br />

radiation and drought combined stress.<br />

MATERIALS AND METHODS<br />

Drought and UV-B treatments<br />

Wheat (Triticum aestivum L.) varieties, Jinmai 47(drought-resistant)<br />

and Shunmai 1718 (drought-susceptible) were used in this<br />

experiment. After surface sterilization, healthy seeds were sown in<br />

plastic pots (15 x 15 cm) containing vermiculite, and irrigated with ½<br />

strength Hoagland’s solution. Wheat seedlings were grown in a<br />

growth chamber (14/10 h photoperiod; 25/20°C day/night). 7 dayold<br />

wheat seedlings were subjected to drought stress (+D) by 10%<br />

polyethylene glycol (PEG6000), which provoked moderate water<br />

stress (-0·5 MPa), to UV-B radiation (+UV), or to a combination (+D<br />

+ UV), respectively. All stresses were applied throughout 20 days<br />

for both genotypes.<br />

As a source of UV-B radiation, a mercury lamp with a charac-<br />

He et al. 4047<br />

teristic emission in the range of 280 to 320 nm (HPQ 125 W,<br />

Phillips, Eindhoven, The Netherlands) was used. The lamp<br />

irradiation gave a photon flux density of 64·4 μmol m -2 s -1 and the<br />

UV-B irradiation was about 80% of the total light emission. The<br />

seedlings were transferred daily under the HPQ lamp for 2 h in the<br />

middle of the day. The distance between the lamp and plants was<br />

25 cm. The plants without UV-B irradiation treatment were kept<br />

under a polyester film (0.13 mm Mylar Type D) (Du Pont Co,<br />

Newton, CT, USA), which absorbs radiation below 320 nm. For the<br />

treatments with UV-B irradiation, a cellulose acetate filter (0.13 mm)<br />

was used to cut off the radiation below 280 nm, and plants received<br />

49 kJm -2 d -1 biologically effective UV-B radiation.<br />

Measurements of wheat seedling growth parameter<br />

All measurements for seedling growth parameter were conducted at<br />

the end of each stress treatment. Fresh weight of the above-ground<br />

parts was measured, and after that plants were dried at 105°C to<br />

constant weight for the determination of dry weight. Relative leaf<br />

water content (RWC) was calculated according to the equation of<br />

Fletcher et al., (1988). Leaf area was measured according to<br />

Tsonev and Sergiev (1993) using a planar scanner and image plot<br />

software.<br />

Determination of proline, H2O2, chlorophyll and ascorbate<br />

The fresh plant materials collected at various time points were<br />

immediately used for the extraction and assay according to the<br />

appropriate methods listed here.<br />

Free proline was extracted, derivatized with acid ninhydrin, and<br />

absorbance was read according to Bates et al. (1973) method using<br />

L-proline as a standard. Content of proline was expressed as<br />

µmol/g fresh weight. Total chlorophylls were extracted with 80%<br />

acetone and were estimated according to Arnon (1949). Content of<br />

the chlorophylls was expressed as mg/g fresh weight. Hydrogen<br />

peroxide (H2O2) was measured according to Alexieva et al. (2001).<br />

H2O2 was measured spectrophotometrically after reaction with KI.<br />

The reaction mixture consisted 0.5 ml 0.1% trichloroacetic acid<br />

(TCA) leaf extract supernatant, 0.5 ml of 100 mM K-phosphate<br />

buffer and 2 ml reagent (1 M KI w/v in fresh double-distilled water<br />

H2O). The blank probe consisted of 0.1% TCA in the absence of<br />

leaf extract. The reaction was developed for 1 h in darkness, and<br />

absorbance was measured at 390 nm. The amount (µmol/g fresh<br />

weight) of hydrogen peroxide was determined using a given H2O2<br />

standard curve.<br />

Ascorbate content was determined according to the method<br />

described by Foyer et al. (1983). Plant materials (0.5 g) were<br />

ground in liquid nitrogen and then 2 mL of 2.5 M perchloric acid was<br />

added. The crude extract was centrifuged at 4°C for 15 min at<br />

15,000 g, and the supernatant was neutralized with saturated<br />

K2CO3 using methyl orange as an indicator. Insoluble KClO4 was<br />

removed by centrifugation and aliquots of the supernatant were<br />

used for measuring ascorbate and dehydroascorbic acid (DHA)<br />

contents. The reduced ascorbate (ascorbic acid, AsA) was<br />

determined spectrophotometrically at 265 nm in 0.1 M NaH2PO4<br />

buffer (pH 5.6), with 0.1 units of ascorbate oxidase. The total<br />

ascorbate was determined after incubation in the presence of<br />

30 mM DTT. The standard curve was prepared with AsA. DHA level<br />

was obtained as the difference between AsA and total ascorbate.<br />

The content was calculated as µmol/g fresh weight.<br />

Enzyme extraction and assay<br />

For enzymatic activities, assays were carried out using the crude<br />

extract of the leaves as the enzyme source. Leaves were


4048 Afr. J. Biotechnol.<br />

Table 1. Effect of drought and UV-B applied alone or in combination on growth parameters of wheat seedlings.<br />

Parameter Control UV-B (+U) Drought (+D)<br />

UV-Bdrought<br />

(preU+D)<br />

Drought-<br />

UV-B<br />

(preD+U)<br />

Drought-<br />

UV-B<br />

(U+D)<br />

Resistant genotype<br />

Plant height (cm) 16.6±1.5 14.3±0.9** 16.1±1.3 15.5±1.2 * 15.1±0.8* 15.9±1.4*<br />

Fresh weight (mg) 102.2±3.5 89.1±5.2 ** 99.1±3.4 96.3±3.9* 93.4±4.5* 97.2±3.6*<br />

Dry weight (mg) 17.1±1.4 14.8±0.9** 16.6±0.5 16.1±0.6* 15.6±0.8* 16.5±0.5*<br />

Leaf area (cm 2 ) 6.94±0.53 5.98±0.31** 6.59±0.48 6.46±0.65 6.26±0.40* 6.50±0.37<br />

RWC (%) 95.08±1.85 93.70±2.03 74.25±3.46** 85.70±1.57* 78.69±2.82* 84.03±2.91*<br />

Chlorophyll content (mg/g fresh weight) 2.49±0.09 2.02±0.13** 2.40±0.10 2.20±0.11 2.43±0.15 2.11±0.15*<br />

Susceptible genotype<br />

Plant height (cm) 17.9±1.3 14.8±1.1** 17.6±1.1 16.3±1.3* 15.6±1.0** 13.6±1.2**<br />

Fresh weight (mg) 113.4±3.9 93.4±5.7** 109.6±3.5* 100.2±4.4 * 98.5±4.9** 87.3±4.2**<br />

Dry weight (mg) 18.3±1.5 15.2±1.1** 17.6±0.5* 16.4±0.7* 15.8±0.8** 14.6±0.6**<br />

Leaf area (cm 2 ) 7.28±0.46 5.24±0.12** 5.79±0.28* 5.68±0.39 5.44±0.21** 5.03±0.10**<br />

RWC (%) 96.04±1.76 94.09±2.12 70.10±3.77** 80.30±1.62* 73.88±3.11** 78.20±2.89*<br />

Chlorophyll content (mg/g fresh weight) 3.07±0.21 2.69±0.20* 2.97±0.19 2.74±0.26 2.99±0.24 2.82±0.23<br />

Values in brackets are percentage of control. The data are mean±SE (n=20). * and **, indicate significant difference between control and UV-B<br />

radiation, Drought or their combined stress at P


Hundred percent of control(%)<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0 2 4 6 8 10 2 4 6 8 10<br />

Time of treatment (d)<br />

Figure 1. The level of H2O2 in wheat seedlings under the successive stress (pred+u, preu+d) of UV-B<br />

and drought. 100 percent (%) corresponds to the H2O2 level in the control plants without any stress.<br />

Samples were collected at 0 d, 2 d, 4 d, 6 d, 8 d and 10 d after the first stress (preD or preU) and then<br />

the second stress (+U or +D), respectively. R1, drought-resistant genotype treated by preD+U<br />

stresses; S1, drought-susceptible genotype treated by preD+U stresses; R2, drought-resistant<br />

genotype treated by preU+D stresses; S2, drought-susceptible genotype treated by preU+D stresses.<br />

Resistant genotype (R) and susceptible genotype (S) were indicated. Vertical bars are standard<br />

errors (S.E.) of means.<br />

reduction of chlorophyll content were considerable in<br />

comparison with the control in Jinmai 47 (drought-tolerant<br />

genotype). These data indicated that the stress<br />

pretreatment induced plant defense response which<br />

subsequently alleviated the negative effects of the other<br />

stress. Moreover, plant responses to drought, UV-B and<br />

the combined stress were genotype-dependent.<br />

Time course of H2O2 content in wheat seedlings<br />

under the stresses<br />

H2O2 concentrations were maintained around 1.1 to 1.3<br />

µmol g −1 FW in the control leaves at the beginning and<br />

end of the experiment. However, the content of H2O2<br />

increased significantly under stressful conditions following<br />

seedling growth (Figure 1 and 2) compared to the<br />

control plants without any stress. Moreover, the peak<br />

value and time course of H2O2 level were different for<br />

different stresses and genotypes.<br />

In the pretreatments, UV-B induced H2O2 up to its peak<br />

level at days 2 and 4 for Jinmai 47 and Shunmai 1718,<br />

respectively; two days earlier than drought stress. The<br />

maximum amount of H2O2 under UV-B was 31 and 47%<br />

higher than that under drought stress for the two<br />

genotypes, respectively. After the peak time, H2O2<br />

R1<br />

S1<br />

R2<br />

S2<br />

He et al. 4049<br />

content declined till the end (day 10) of the pretreatments,<br />

at which H2O2 level was higher in the UV-B-stressed<br />

plants than the drought-stressed plants for both varieties.<br />

In the following second treatments, H2O2 was induced to<br />

elevate again, and then reduced. The enhancement in<br />

the drought-pretreated seedlings by UV-B was greater<br />

than the UV-B-pretreated seedlings by drought. At the<br />

end of the second stress, all the plants showed a lower<br />

H2O2 level (P>0.01) than at the end of the pretreatments.<br />

Furthermore, H2O2 level in the tolerant genotype was<br />

significantly lower (P>0.01) than in the susceptible one.<br />

Particularly, the pre-UV-B and following drought<br />

treatments led to lower H2O2 compared to the pre-drought<br />

and consequent UV-B stresses for both varieties.<br />

Under the combined stress of UV-B and drought<br />

applied simultaneously (Figure 2), H2O2 level quickly increased<br />

to its maximum and then reduced through to the<br />

end of the treatments. Comparison between the two<br />

genotypes showed that the peak level and time were<br />

37% lower and were 2 days earlier in the tolerant<br />

genotype than in the susceptible one. At the end of the<br />

combined stress, H2O2 level was 62% higher in the<br />

susceptible variety than in the tolerant variety. Overall,<br />

UV-B radiation caused more effects on H2O2 than the<br />

drought treatment. Pretreatment of either stress reduced<br />

the impact of subsequent application of the other stress.


4050 Afr. J. Biotechnol.<br />

Hundred percent of control(%)<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

R<br />

S<br />

0 2 4 6 8 10<br />

Time of treatment (d)<br />

Figure 2. The level of H2O2 in wheat seedlings under the combined stress (U+D) of UV-B and drought.<br />

100% corresponds to the H2O2 level in the control plants without any stress. Samples were collected at<br />

0, 2, 4, 6, 8 and 10 days after the combined stress. R,Resistant genotype; S, Susceptible genotype.<br />

Vertical bars are standard errors (S.E.) of means.<br />

For susceptible genotype, the combined stress produced<br />

more H2O2 than the drought or UV-B treatment alone,<br />

while the H2O2 level induced by the combined stress was<br />

higher than by the drought and lower than by UV-B stress<br />

in the tolerant variety.<br />

Temporary expression of antioxidative enzymatic<br />

activity induced by the stresses<br />

The activity of SOD and CAT experienced a slight<br />

change in the control plants during the 20 days of growth,<br />

and this variation was not significant. However, the three<br />

enzymes displayed distinct patterns of activity expression<br />

under the stressful conditions.<br />

Following the pretreatment of drought (preD) and<br />

subsequent UV-B stress (+U), SOD activity (Figure 3A)<br />

increased to its first peak on day 2 and day 4 post preD in<br />

Jinmai 47 and Shunmai 1718, respectively. The second<br />

higher peak occurred on day 2 post +U for both genotypes.<br />

After the second peak, SOD level slowly increased<br />

till the end of the treatment. However, only one peak of<br />

SOD activity was induced on day 2 and day 4 post<br />

pretreatment of UV-B (preU) in Jinmai 47 and Shunmai<br />

1718, respectively. Unlike in the preD+U treatments, the<br />

subsequent drought stress (+D) did not significantly<br />

enhance the additional SOD activity to the end of the<br />

preU+D treatments. As shown in Figure 1A, SOD levels<br />

at the peak and the end of the preU+D treatments were<br />

both higher in the susceptible variety ( Shunmai, 1718)<br />

than in the tolerant one (Jinmai 47).<br />

CAT activity (Figure 3B) was also changed greatly<br />

following the treatments. The first peak of CAT activity<br />

occurred at day 2 or day 4 after the pretreatment of either<br />

UV-B or drought. The subsequent stress of the other induced<br />

more enhancement of CAT activity and resulted in<br />

the second peak at different time for different stresses<br />

and genotypes. In contrast to SOD, the increased CAT<br />

level was much higher in the tolerant variety than in the<br />

susceptible one, particularly at the peak time and the end<br />

of the treatments. Moreover, CAT activity post the peak<br />

was reduced rapidly in the susceptible variety while the<br />

activity kept stable or just slightly declined in the tolerant<br />

genotype. Again, UV-B radiation exhibited more effects<br />

on CAT activity than drought stress.<br />

The activity expression of SOD and CAT under the<br />

combine stresses (Figure 4) was mostly like the pattern<br />

under UV-B radiation alone. For tolerant genotype, there<br />

were a higher level of CAT and a lower level of SOD in<br />

the double-stress treatments.<br />

Conversely, higher SOD and lower CAT were detected<br />

in the double stresses for the susceptible variety.


SOD activity<br />

Units/ mg protein<br />

Catalase activity<br />

(nmol H2O2 /mg protein min)<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

70<br />

65<br />

60<br />

55<br />

50<br />

45<br />

40<br />

35<br />

30<br />

25<br />

A<br />

0 2 4 6 8 10 2 4 6 8 10<br />

B<br />

Time of treatment(d)<br />

0 2 4 6 8 10 2 4 6 8 10<br />

Time of treatment (d)<br />

Figure 3. Changes in activities of antioxidant enzymes under the successive stresses (preD+U,<br />

preU+D) of UV-B and drought. Samples were collected at 0, 2, 4, 6, 8 and 10 days after the first<br />

stress (preD or preU) and then the second stress (+U or +D), respectively. R1, drought-resistant<br />

genotype treated by preD+U stresses; S1, drought-susceptible genotype treated by preD+U<br />

stresses; R2, drought-resistant genotype treated by preU+D stresses. S2: drought-susceptible<br />

genotype treated by preU+D stresses. Resistant genotype (R) and susceptible genotype (S)<br />

were indicated. Vertical bars are standard errors (S.E.) of means.<br />

Changes in contents of antioxidative metabolites<br />

under the stresses<br />

Free proline in the drought-pretreated plants were observed<br />

to increase by 1.16 and 0.5 folds greater than that<br />

R1<br />

S1<br />

R2<br />

S2<br />

R1<br />

S1<br />

R2<br />

S2<br />

He et al. 4051<br />

in the control at the end of the pretreatment for tolerant<br />

and susceptible genotype, respectively (Figure 5). However,<br />

pretreatment of UV-B just enhanced proline by a<br />

smaller amount, and there was no significant difference<br />

between the tolerant and susceptible genotypes. Sub-


4052 Afr. J. Biotechnol.<br />

SOD activity<br />

(Units/ mg protein)<br />

Catalase activity<br />

(nmol H2O2 /mg protein min)<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

A<br />

0 2 4 6 8 10<br />

B<br />

Time of treatment (d)<br />

0 2 4 6 8 10<br />

Time of treatment (d)<br />

Figure 4. Changes in activities of antioxidant enzymes under the combined stress of UV-B<br />

and drought. Samples were collected at 0, 2, 4, 6, 8 and 10 days after the combined stress.<br />

R3, drought-resistant genotype treated by the combined stresses; S3, drought-susceptible<br />

genotype treated by the combine stresses. Vertical bars are standard errors (S.E.) of means.<br />

sequent UV-B stress only induced proline level which<br />

additionally accumulated a little in the drought-pretreated<br />

plants, while subsequent drought stress resulted in a<br />

larger enhancement of proline content in the UV-Bpretreated<br />

plants. The combination of both stresses led to<br />

a slightly lower proline content in comparison with the<br />

drought application alone, and this depressed effect on<br />

proline content was greater in the susceptible genotype<br />

than in the tolerant one (Figure 5). The data showed that<br />

drought stress had a much stronger impact than UV-B<br />

R3<br />

S3<br />

R3<br />

S3<br />

stress in relation to proline accumulation regardless<br />

applied together, separately, and successively.<br />

All stresses increased ascorbic acid (AsA) concentration,<br />

and did not cause much change in dehydroascorbic<br />

acid (DHA) content compared to the control<br />

(data not shown). As a result, a higher ASA/DHA ratio<br />

was observed following the treatments (Figure 6). No<br />

significant difference was detected between the two<br />

genotypes. The percent increment of ASA/DHA ratio was<br />

lower in the pretreatment of either UV-B (36%) or drought


AsA/DHA<br />

Proline (µmol/g FW)<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

R S<br />

control D preD+U U preU+D U+D<br />

Treatment<br />

Figure 5. Free proline content in winter wheat seedlings under UV-B, drought, and the<br />

combined stresses. Samples were collected at the end of each treatment. D, Drought treatment<br />

alone; U, UV-B treatment alone; U+D, UV-B and drought treatments applied simultaneously;<br />

preD+U, drought treatment applied firstly and then UV-B treatment was applied; preU+D, UV-B<br />

treatment was applied firstly and then drought treatment was applied. Values are means of six<br />

replicates and standard errors (S.E.).<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

R S<br />

control D preD+U U preU+D U+D<br />

Treatment<br />

Figure 6. The reduced-to-oxidized ascorbate ratio (AsA/DHA) in winter wheat seedlings under UV-B,<br />

drought, and the combined stresses. Samples were collected at the end of each treatment. D, Drought<br />

treatment alone; U, UV-B treatment alone; U+D, UV-B and drought treatments were applied simultaneously;<br />

preD+U, Drought treatment was applied firstly and then UV-B treatment was applied; preU+D, UV-B<br />

treatment was applied firstly and then drought treatment was applied. Values are means of six replicates<br />

and standard errors (S.E.).<br />

He et al. 4053


4054 Afr. J. Biotechnol.<br />

(38%) than in the subsequent application of drought (81%)<br />

or UV-B (77%) stress. This enhancement was more pronounced<br />

under the combined stresses (Figure 6) so that<br />

ASA/DHA ratio at the end of the treatment was higher in<br />

the plants (3.82) by the combined stresses than those<br />

when UV-B or drought stress was applied alone (2.33<br />

and 2.36) and successively (3.16 and 3.14), indicating<br />

that the combined stress exceeded the effect of a single<br />

stress factor on ASA concentration.<br />

DISCUSSION<br />

With increasing depletion of stratospheric ozone and acelerating<br />

global warming, UV-B irradiation and drought<br />

stresses are becoming much more detrimental to<br />

ecological systems and crop production in the world. The<br />

mechanisms of crop plants to the combined stress of<br />

these two factors remain unknown although the<br />

interaction between UV-B and drought stress in plants<br />

has emerged these years. Therefore, the present study<br />

was conducted to investigate physiological responses of<br />

different genotypes of winter wheat to the combined<br />

stresses of UV-B and drought applied simultaneously and<br />

successively.<br />

Our data (Table 1) of wheat growth parameters measured<br />

under the stresses tested displayed that pretreatment of<br />

either UV-B or drought reduced the damage caused by<br />

subsequent application of the other stress, conforming<br />

the viewpoint that exposure of plants to a moderate<br />

stress can induce a tolerance to a more severe stress<br />

and such treatment also can improve tolerance to other<br />

stresses (Wang et al., 2003). Moreover, the present study<br />

showed that the tolerant variety exhibited better performance<br />

than the susceptible one in this aspect, and the<br />

UV-B-induced wheat plant protection against drought was<br />

stronger than the drought-induced tolerance to UV-B<br />

radiation. This result indicated that the expression of the<br />

so-called cross-acclimation to stresses was related to the<br />

plant genotypes and stress factors.<br />

In comparison to the inhibited effects on plant growth of<br />

UV-B or drought stress alone, the effect of the combination<br />

of the two stress factors could be additive (more<br />

damage) (Tian and Lei, 2007) or antagonistic (reduced<br />

damage) (Sullivan and Teramura, 1990; Alexieva et al.,<br />

2001). Our data further indicated that this combined<br />

effect was genotype-dependent. For the tolerant variety,<br />

the combined stress of UV-B and drought resulted in the<br />

moderated injury to wheat seedlings, which was less than<br />

the injury caused by the stresses applied individually.<br />

However, the combined stress caused more severe<br />

damage to wheat seedlings than stress factors applied<br />

separately for the susceptible variety. Thus, the combined<br />

application of drought and UV-B had more strong<br />

adverse effects on wheat seedlings of the susceptible<br />

genotype, but more positive effects on the tolerant wheat<br />

genotype.<br />

UV-B and drought stresses seemed to act in two different<br />

ways, as it could be expected, drought signifi-cantly<br />

influenced the RWC, and UV-B largely affected<br />

chlorophyll of the treated leaves (Table 1). This finding<br />

further support that chlorophyll content and RWC were<br />

proposed as a typical maker for plant response to UV-B<br />

and drought stresses, respectively (Teramura et al., 1991;<br />

Correia et al., 1999; Santos et al. 2004). When UV-B<br />

irradiation and drought stresses were applied simultaneously<br />

or successively, the specific effects of UV-B on<br />

chlorophyll and drought on RWC were slightly reduced<br />

compared to the single stress, again indicating that<br />

interaction between UV-B and drought alleviated, to<br />

some extent, the negative effect of UV-B or drought alone.<br />

Generation of reactive oxygen species (ROS) including<br />

H2O2 is recognized as one of the early effects of various<br />

biotic and abiotic stresses on plants (Bowler and Fluhr,<br />

2000), and high accumulation of ROS can result in<br />

oxidative damage in the absence of effective protective<br />

mechanism (Alexieva et al., 2001). In our case, an<br />

increase in H2O2 was observed in all the treated plants<br />

compared to the control. However, the increase was<br />

more evident in the UV-B treated plants than in the<br />

drought-stressed plants (Figure 1), and thus UV-B<br />

caused a more severe damage than the drought stress<br />

on wheat seedlings measured as there was more obvious<br />

reduction in growth (Table 1). Comparatively, the interaction<br />

of UV-B and drought led to less damage on wheat<br />

seedlings, which was evidenced by a lower level of the<br />

peak value of H2O2 in the plants measured at the end of<br />

the combined stresses applied simultaneously or successively<br />

(Figure 2).<br />

On the other hand, H2O2 received much attention as a<br />

signal molecule in response to different stresses (Prasad<br />

et al., 1994; Gong et al. 2001; Aroca et al., 2003). H2O2<br />

mediated the regulation of transcription in response to<br />

UV-B exposure as an important early upstream signal<br />

(Brosche and Strid, 2003). Moreover, H2O2 was also<br />

implicated in the gene expression related to cold<br />

acclimation to resist freezing stress (Foyer et al. 1997).<br />

Activation of endogenous protective mechanisms can in<br />

turn tolerate or delete excess ROS burst. We found that<br />

the enhanced H2O2 level under the stresses was followed<br />

by the up-regulation of the enzyme activities (Figure 3).<br />

This suggests that H2O2 may act more as a signal<br />

molecule than directly inducing oxidative damage. In<br />

other words, the increased H2O2 concentration by UV-B<br />

or drought may trigger the cross-acclimation to tolerant<br />

the subsequent stresses in winter wheat through stimulation<br />

of the antioxidant defense systems.<br />

SOD, the first antioxidant enzyme for scavenging ROS,<br />

catalyzes the dismutation of superoxide into oxygen and<br />

H2O2, while CAT reacts with H2O2 to produce water and<br />

oxygen. In this study, it was observed that activities of the<br />

two key antioxidant enzymes increased following all the<br />

treatments compared to the control plants, but their<br />

expression patterns were different for different genotypes


and stress conditions. For example, under the successive<br />

stress conditions of first UV-B radiation and then drought,<br />

SOD expression was “rapid up to the peak and then kept<br />

stable” in both genotypes, whereas the peak level was<br />

higher and occurred two days later in the susceptible<br />

genotype than in the tolerant one (Figure 3A). Consequently,<br />

SOD level was greater in the susceptible<br />

genotype than in the tolerant one at the end of the<br />

treatment. CAT expression pattern, however, was “rapid<br />

up to peak, sustaining roughly stable, and then increasing<br />

again” for the tolerant genotype or “decreasing” for the<br />

susceptible one (Figure 3B). As a result, the CAT level<br />

was higher in tolerant genotype than in the susceptible<br />

one at the end of the treatments. Similarly, SOD and CAT<br />

activities also increased following the successive<br />

stresses of first drought and then UV-B except that the<br />

enhancement rate was lower in the first stress than in the<br />

second stress. Therefore, different levels of H2O2 under<br />

all stresses, particularly higher H2O2 content in the susceptible<br />

genotype than in the other may be due to the<br />

differential expressions of activities of those enzymes<br />

following the stress. Our inference is in agreement with<br />

the report that cellular H2O2 concentration is the result of<br />

the balance between its production and utilization (Bowler<br />

et al., 1992).<br />

Under the combined stresses of UV-B and drought<br />

applied simultaneously, the two enzyme activities (Figure<br />

4) were expressed like in the case under UV-B stress<br />

alone, but SOD activity was lower and CAT was higher<br />

than that under drought and UV-B stress alone for the<br />

tolerant variety. Again, our data of the two enzyme<br />

activities indicated that the interaction of UV-B and<br />

drought stresses alleviated the negative effect of the<br />

stress factors on the tolerant genotype, but the combined<br />

stress led to more damage on the susceptible one.<br />

Notably, many contradictory results about antioxidant<br />

enzyme response to different stresses have emerged due<br />

to the fact that the levels of enzyme responses depend<br />

on the plant species, the developmental stage, the<br />

organs, as well as on the duration and severity of the<br />

stress (Wilson et al., 1993; Caldwell et al., 1983;<br />

Chappell et al., 1994). In addition, the presence of<br />

different enzyme isoforms expressed to a different extent<br />

in different seedling growth conditions (stressed and unstressed),<br />

and with different substrate affinity could be<br />

not excluded.<br />

In addition to the activation of antioxidant enzymes, the<br />

enhancement of antioxidant metabolites such as proline<br />

and ascorbate acid (AsA) in cells is also another defense<br />

mechanism against the ROS burst caused by various<br />

stresses (Monk et al., 1989). In many plants, free proline<br />

accumulates in response to biotic and abiotic stresses,<br />

including water stress (Day et al. 1993), extreme temperatures<br />

(Strid et al., 1992), heavy metal toxicity (Long<br />

et al., 1983), and UV-B irradiation (Schreiber et al., 1986).<br />

Our data showed that drought stress had a much<br />

stronger impact than UV-B stress in relation to proline<br />

He et al. 4055<br />

accumulation regardless applied together, separately,<br />

and successively (Figure 5), confirming that proline is a<br />

typical marker for osmotic stress, which is well-described<br />

in water and salt stresses (Heuer, 1994; Fedina et al.,<br />

2006). However, proline may exert a protective action on<br />

UV-B stress because drought-treated wheat seedlings<br />

accumulated higher level of proline, and appeared less<br />

damaged by UV-B radiation compared to the control<br />

plants (Table1). Consistence with our results, a positive<br />

effect of proline accumulation on the reduction of the UV-<br />

B induced damage is proposed in other reports<br />

(Kurkdjian and Guern, 1989; Alexieva et al., 2001).<br />

Ascorbate is a major primary antioxidant, reacting<br />

directly with hydroxyl radicals, superoxide and singlet<br />

oxygen, and is also a powerful secondary antioxidant, reducing<br />

the oxidized form of a-tocopherol (Agrawal and<br />

Rathore, 2007). In our study, foliar ascorbic acid<br />

concentration was found to increase in all the stressful<br />

conditions. Moreover, the rate of increase was lower in<br />

the pretreatments of ether UV-B or drought than in the<br />

subsequent stresses (Figure 6), suggesting that<br />

enhancement of ASA content was not a rapid response<br />

to the single stress of UV-B or drought. However, under<br />

the combined stress of the two factors applied together,<br />

ASA increase was faster and much higher (Figure 6),<br />

indicating that the interaction between UV-B and drought<br />

stresses generated a protective effect on plants. Unlike<br />

the other parameters measured here, the time course<br />

ASA level induced by the stress showed no significant<br />

difference between the two genotypes.<br />

In conclusion, pretreatment of either UV-B or drought<br />

can increase wheat seedling tolerance to the subsequent<br />

stress, and moreover, UV-B induced tolerance against<br />

drought stress was stronger than the drought-induced<br />

defense to UV-B stress evaluated as changes in plant<br />

growth parameters and in amounts of stress markers.<br />

The combined application of drought and UV-B together<br />

brought out strong adverse effects on wheat seedlings of<br />

susceptible variety, but more positive effects on the<br />

tolerant wheat genotype. By scavenging excessive ROS,<br />

antioxidant enzymes and compounds functioned importantly<br />

in the plant responses to UV-B radiation, drought,<br />

and their combined stresses. The expression patterns of<br />

the enzymes and temporary changes of the antioxidants<br />

tested following the treatments displayed differences to<br />

some extent for different stress conditions and genotypes,<br />

leading us to infer that the expression of plant defense<br />

strategy to stress was differently regulated by a<br />

complicate system consisting of plant genetic background,<br />

physiological status, stress factors and their interactions<br />

although the presence of a basic common response in<br />

both genotypes under the stress conditions was observed.<br />

Acknowledgements<br />

This research was supported by the Earmarked Fund for


4056 Afr. J. Biotechnol.<br />

Modern Agro-industry Technology Research System of<br />

China, supported by Shanxi Province Foundation for<br />

Returness, China.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4057-4064, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2012<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

The effects of the regulated deficit irrigation on yield<br />

and some yield components of common bean<br />

(Phaseolus vulgaris L.) under semi-arid conditions<br />

Mehmet Simsek 1 *, Nuray Comlekcioglu 2 and Irfan Ozturk 3<br />

1 Department of Agricultural Structures and Irrigation, Faculty of Agriculture,Harran University, Sanliurfa, Turkey.<br />

2 Department of Horticulture, Faculty of Agriculture, Harran University, Şanliurfa Sanliurfa, Turkey.<br />

3 Department of Biometry Science, Faculty of Agriculture, Harran University, Sanliurfa, Turkey.<br />

Accepted 28 March, 2011<br />

During three consecutive years (2002 to 2004), common bean was grown to investigate the effects of<br />

the regulated deficit irrigation (RDI) on the yield and yield parameters under semi-arid conditions. Field<br />

experiments were conducted on a clay soil. The growing season of common bean was divided into two<br />

phases: (1) Vegetative stage (V); from seed germination to the beginning of flowering and (2)<br />

reproductive stage (R); from the flowering to the last fruit harvesting. The statistical design was a splitplot<br />

with three replications, where the growth stage was the main factor of variation and the irrigation<br />

was the secondary factor. The irrigation treatments consisted of all possible combinations of full<br />

irrigation (T1 and T5 (V100 and R100: 100% of irrigation water (IW)/cumulative pan evaporation (CPE)) or<br />

limited irrigation (T2: V75-R100, T3: V50-R100, T4: V25-R100, T6: V100-R75, T7: V100-R50 and T8: V100-R25) in two<br />

phases. Fresh bean yield and pod weight (PWt), pod length (PL), pod width (PWh) and number of seed<br />

per pod (NSPP) were measured. Yields of T2, T3, T4, T6, T7 and T8 were determined as 27.0, 35.0, 41.0, 4.0,<br />

12.0 and 21.0% lower than the yields obtained from the control (18.36 and 18.40 t ha -1 ) treatments,<br />

respectively. Results demonstrated that, vegetative stage was the more sensitive than the reproductive<br />

stage to the deficit irrigation. The highest irrigation water use efficiency (IWUE) and water use efficiency<br />

(WUE) were found in T6 and T7 treatments as 2.58 and 2.66 kg m -3 , respectively.<br />

Key words: Phaseolus vulgaris L., class A pan, drip irrigation, deficit irrigation.<br />

INTRODUCTION<br />

Common bean is being consumed as a source of<br />

proteins, calories, fibers and minerals in the developing<br />

countries (Ramos et al., 1999; Singh et al., 1999). Also,<br />

since it has an ability to bind atmospheric nitrogen, it<br />

plays a significant role for the crop rotation and sustainable<br />

cropping systems (Donald and Paulsen, 1997).<br />

Common bean is planted on an area of 0.98 million ha<br />

and has a production of 6.82 million t as fresh in the<br />

world. Turkey is ranked second to China with a production<br />

amount of 0.56 million t and a planted area of 0.07<br />

*Corresponding author. E-mail: mehmetsimsek@harran.edu.tr,<br />

simsek0154@gmail.com. Tel: +90 414 3183756. Fax: +90 414<br />

3183682.<br />

Million ha (FAO, 2008). Besides benefits of bean to the<br />

human diet and environment, its production requires a<br />

significant amount of water due to its relatively shallow<br />

root system. Thus, the amount of irrigation applied at the<br />

developmental (vegetative and reproductive) stages,<br />

affect the bean production in that plant growth and yield<br />

are often reduced by periods of water stress (Ramos et<br />

al., 1999).<br />

Efficient use of water in any irrigation systems is vital<br />

especially in arid and semi-arid regions. Drought occurs<br />

in many parts of the world in every year; often with<br />

devastating effects on crop production (Ludlow and<br />

Muchow, 1990; Tonkaz, 2006). As the water supply is<br />

limited worldwide, there is a need of water saving in<br />

irrigation and thus, deficit irrigation should be applied.<br />

Drip irrigation, reduces deep percolation and evaporation


4058 Afr. J. Biotechnol.<br />

and controls water status of the soil more precisely within<br />

the crop root zone (Singandhupe et al., 2003). One<br />

choice for improving irrigation water management is to<br />

alter from furrow or sprinkler irrigation to drip irrigation.<br />

Several alternative irrigation methods have been used<br />

such as surface, drip and sprinkler irrigation systems for<br />

the production of common bean. However, recently using<br />

the drip irrigation has attracted a significant amount of<br />

attention of researchers and farmers instead of using<br />

surface and sprinkler irrigations either to increase the<br />

efficient use of water or the yield (Hanson and May,<br />

2004). Moreover, drip irrigation reduces deep percolation<br />

and evaporation and controls water status of the soil<br />

more precisely within the crop root zone (Singandhupe et<br />

al., 2003). Numerous studies were carried out in the past<br />

for the development and evaluation of irrigation scheduling<br />

techniques under a wide range of irrigation<br />

systems and management techniques, soil, climate and<br />

crop conditions (Kang et al., 2000; Boutraa and Sanders,<br />

2001; Wakrim et al., 2005; Zhang et al., 2006.)<br />

The irrigation scheduling techniques is very critical to<br />

use the drip irrigation most efficiently because while<br />

excessive amount of irrigation causes a decrease in the<br />

yield, inadequate irrigation results in a water stress and a<br />

reduction in production (Sezen et al., 2005; Onder et al.,<br />

2006). Wakrim et al. (2005) reported that, even though<br />

irrigation increases the overall plant growth rate, excess<br />

water might bring about the poor grain yields in common<br />

bean. Also, this statement was in agreement with several<br />

studies which showed that, implementations of limited<br />

and excessive irrigation for common bean result in lower<br />

yield as they create stress during plant development<br />

(Nielsen and Nelson, 1998; Dapaah et al., 1999; Sezen<br />

et al., 2005). The deficit irrigation techniques, including<br />

regulated deficit irrigation (RDI), have been developed to<br />

control excessive vegetative growth or water saving. RDI<br />

is widely used in the horticultural industry since it results<br />

in the more efficient use of irrigation water and often<br />

improves the crop quality (Turner, 2001).<br />

The meteorological-based irrigation scheduling approach,<br />

such as implementations of pan evaporation replenishment,<br />

cumulative pan evaporation (CPE) and ratio between<br />

irrigation water and CPE was employed by many<br />

researchers (Saudan et al., 2000; Ferreia and Carr 2002;<br />

Simsek et al., 2005). This was due to its simplicity, data<br />

availability and high degree of adaptability to the farmer<br />

level (Imtiyaz et al., 2000 and Simsek et al., 2005).<br />

The objective of this study was to determine the effects<br />

of RDI on the yield and yield components of the fresh<br />

common bean in the semi-arid conditions.<br />

MATERIALS AND METHODS<br />

Experimental site and climatic data<br />

This study was conducted on a clay soil at the Agricultural<br />

Experimental Research Field of the Harran University during the<br />

growth periods of 2002, 2003 and 2004. The site is situated on the<br />

37°08' N and 38°46' E and 464 m above sea level. The soil water<br />

contents (w/w; %) of the soil at field capacity were 33.1, 33.2 and<br />

33.7% and at permanent wilting point 21.6, 21.9 and 22.8%, in 0 to<br />

30, 30 to 60 and 60 to 90 cm soil depths, respectively. The<br />

corresponding bulk densities were 1.41, 1.45 and 1.44 Mg m 3 . The<br />

study area was located in a semi-arid climate. The soil water<br />

content was measured gravimetrically in each 0.3 m layer down to<br />

0.9 m depth in two replicates per treatment. These measurements<br />

repeated with intervals of 12 days were done six times for each<br />

year. The lowest level of relative humidity and the highest<br />

temperature and solar radiation occur in summer months. The<br />

recorded maximum and the minimum temperatures were 32.7 and<br />

11.7°C in August and November. The highest and lowest values of<br />

relative humidity were measured as 72.2 and 32.2% for the months<br />

of November and September, respectively (Table 1). The highest<br />

and the lowest solar radiations were measured as 24.0 and 8.8 MJ<br />

m -2 day -1 in August and November.<br />

Crop evapotranspirations under varying irrigation regimes was<br />

calculated using the water balance model (Garrity et al., 1982).<br />

ETc=IW+P–D–R±∆S<br />

Where, ETc is the seasonal crop evapotranspiration (mm); IW is the<br />

total irrigation water applied (mm); P is the precipitation (mm); D is<br />

the drainage (mm); R is the run-off (mm) and ∆S is the variation in<br />

water content (mm) of the soil profile. All terms are expressed in<br />

mm of water in the bean root zone. The effective root depth was<br />

taken as 60 cm. Run-off was taken as to be nil since no run-off was<br />

observed in drip irrigation system.<br />

Total amount of irrigation water applied was calculated by using the<br />

following equation (Doorenbos and Pruitt, 1975):<br />

IW=AxEpan<br />

Where, IW is the amount of irrigation water applied (L); A is the plot<br />

area (m 2 ) and Epan is the amount of cumulative evaporation during<br />

an irrigation interval (mm).<br />

Crop management and irrigation treatments<br />

The experiments were conducted in the field for consecutive 3<br />

years. Common bean cv. Gina was examined in this study. The<br />

seeds were sown in August 05, 11 and 08 in 2002, 2003 and 2004,<br />

respectively. Seeds were spaced with 25 cm in a row and 70 cm<br />

between rows, as used in traditional by the growers of this region.<br />

Each plot was 6 m in length and five rows (21 m 2 ). The plants were<br />

fertilized with 120, 100 and 120 kg ha -1 of N, P2O5, and K2O5,<br />

respectively.<br />

The total crop duration was divided into two phenological stages<br />

in order to distinguish different plant growing stages and irrigation<br />

treatments: Vegetative stage (V); from seed germination to<br />

beginning of flowering and reproductive stage (R); from the first<br />

flowering to the end of harvesting (Tables 2 and 3). The case study<br />

involved four drip irrigation treatments applied, in two growth<br />

stages. Full irrigations (T1 and T5: V100-R100 (IW/CPE ratio 100%))<br />

were applied to the control treatments in the V and R stages, while<br />

25, 50 and 75% limitations, were applied to the other plots and<br />

compared to the control. RDI was studied with treatments T2: V75-<br />

R100, T3: V50-R100, T4: V25-R100, T6: V100-R75, T7: V100-R50, and T8:<br />

V100-R25 (Table 2). The CPE values were obtained by the use of<br />

class A pan evaporometer located in the experimental site. Three<br />

day CPE values were used for irrigation.<br />

The water from water tank was delivered to the field by a submain<br />

32 mm diameter polyethylene (PE), 16 mm diameter laterals<br />

with in-line emitters located 0.4 m apart, surface drip laterals


Table 1. Some climatic data during the experiment.<br />

2002<br />

2003<br />

2004<br />

Long-run data<br />

(1929 to 2004)<br />

Year/month Ta(°C) RH(%) E0(mm d -1 ) Rs(MJ m -2 day -1 ) u2(m s -1 )<br />

August 30.5 43.7 12.2 24.0 3.0<br />

September 26.9 47.8 9.5 19,8 2.4<br />

October 21.8 48.6 4.7 14,2 2.5<br />

November 14.4 62.4 3.2 10.6 1.9<br />

August 32.7 32.2 10.9 22.8 2.6<br />

September 26.4 42.4 9.3 19.7 2.8<br />

October 21.5 51.5 4.0 13.9 1.7<br />

November 12.7 62 2.8 9.8 1.5<br />

August 30.8 40.7 11.8 23.5 2.5<br />

September 27.3 34.8 8.4 19.4 1.9<br />

October 21.7 48.7 4.3 13.1 1.6<br />

November 11.7 72.2 3.0 8.8 1.4<br />

August 31.1 32.1 11.9 21.4 2.7<br />

September 26.6 34.9 9.3 18.2 2.4<br />

October 20.1 44.5 4.5 13.1 1.8<br />

November 12.8 59.0 3.0 8.5 1.6<br />

Simsek et al. 4059<br />

Average of monthly values of air temperature (Ta), relative humidity (RH), evaporation from class “A” pan (ET0), solar radiation<br />

(Rs), and wind speed at 2 m height (u2).<br />

Table 2. Treatments details of irrigation regime in the different<br />

growth stages.<br />

Treatment<br />

Irrigation regime<br />

(CPE ‡ : 100, 75, 50 and 25%)<br />

V R<br />

T1 V100 R100<br />

T2 V75 R100<br />

T3 V50 R100<br />

T4 V25 R100<br />

T5 V100 R100<br />

T6 V100 R75<br />

T7 V100 R50<br />

T8 V100 R25<br />

‡ CPE: Cumulative pan evaporation.<br />

spaced at 0.7 m intervals, one drip lateral each row and operating<br />

at a constant pressure of 152 kPa with 3.0 L h -1 . Irrigation water<br />

was checked by flow water meter in valves.<br />

The harvest was conducted weekly and yield values were<br />

measured for each plot and were calculated for hectare (t ha -1 ). Pod<br />

weight (PWt), pod length (PL) and pod width (PWh) values of the<br />

randomly chosen 50 pods and the values of the number of seed per<br />

pod (NSPP) were determined for each fruit.<br />

Water use efficiency (WUE) and irrigation water use efficiency<br />

(IWUE)<br />

WUE is the ratio between bean yield (t ha -1 ) and seasonal crop<br />

Table 3. Durations of the two growth stages (in days) of<br />

common bean in three years.<br />

Growth stage 2002 2003 2004<br />

V 41 40 42<br />

R 58 58 52<br />

Total duration 99 98 94<br />

evapotranspiration (mm), as can be seen in the equation as follow:<br />

Ya<br />

WUE =<br />

ET<br />

c<br />

If the yield Ya is expressed in kg and the water use ETc is<br />

expressed in m 3 m -2 , then WUE has units of kg m -3 on a unit water<br />

volume basis or g kg -1 when expressed on a unit water mass basis<br />

(Stanhill, 1986; Howell et al., 1990). IWUE is obtained by using the<br />

ratio of the yield per unit IW (mm) (equation).<br />

Ya<br />

IWUE =<br />

IW<br />

Experimental design and statistical analysis<br />

The field experiments were set up with split plot design with three<br />

replicates, where the growth stage was the main factor of variation<br />

and the irrigation was the secondary factor. The data were analyzed


4060 Afr. J. Biotechnol.<br />

using SAS statistical program (SAS Inst 1991). Analysis of variance<br />

(ANOVA) test was conducted and significant differences among<br />

treatments were determined using the TUKEY method. Square root<br />

transformation was performed for number of seed per pod to<br />

analysis of variance.<br />

RESULTS<br />

Effect of RDI on applied water and evapotranspiration<br />

Irrigation treatments were initiated when the soil water<br />

content at the effective root depth decreased to 50% of<br />

the available soil water on August 26 (21 days after<br />

sowing; 21 DAS) in the first, on August 31 (20 DAS) in<br />

the second and on August 30 (22 DAS) in the third year.<br />

The sowing day was considered as 0 day (0 DAS). The<br />

final irrigation treatments were applied November 6,<br />

2002, November 11, 2003 and November 6, 2004. A total<br />

of nineteen irrigations were applied in the first two years,<br />

while eighteen irrigations were applied in the third year.<br />

When the mean of the three years were calculated, the<br />

duration of the vegetative stage was 41 days while the<br />

duration of the reproductive stage was 56 days (Table 3).<br />

Total eight harvests were made in all the experimental<br />

years.<br />

Table 4 shows the values of fresh bean yield, IW and<br />

ETC. The average values of IW and ETc were 721, 672,<br />

623, 575, 721, 682, 642 and 603 mm and 742, 696, 651,<br />

602, 747, 669, 607 and 558 mm for T1, T2, T3, T4, T5, T6,<br />

T7 and T8, respectively. The lowest value was determined<br />

for T8 being applied with 75% water deficit in the reproductive<br />

stage. This was followed by the treatments on<br />

which 50 and 25% water deficit was applied. These<br />

values were higher than the values of IW and ETc<br />

presented in the studies of Onder et al. (2006) and Sezen<br />

et al. (2005). This might be resulted from the decrease in<br />

the relative humidity, the temperature increase and<br />

evaporation ratio increase due to the semi-arid conditions<br />

in this study.<br />

Irrigation water use efficiency and water use<br />

efficiency<br />

IWUE and WUE values were given in Table 4. The<br />

highest IWUE was obtained as 2.58 kg m -3 in T6 whereas<br />

the highest WUE was calculated as 2.66 kg m -3 in T7,<br />

when the mean of the three years was examined. A direct<br />

relation was observed between the depth of the applied<br />

water and evapotranspiration. IWUE and WUE values<br />

were decreased for RDI treatments in the V stage when<br />

the applied and consumed water were decreased. However,<br />

no significant differences in IWUE and WUE values<br />

were observed for the RDI treatments belonging to the R<br />

stage. The lowest mean IWUE and WUE were measured<br />

as 1.88 and 1.80 kg m -3 , respectively on the T4. Wakrim<br />

et al. (2005) determined the WUE values for common<br />

bean between 1.91 and 2.92 kg m -3 which was well<br />

correlated with our data. In addition, values of IWUE and<br />

WUE found by the study of Onder et al. (2006) were in<br />

agreement with our data, in that, values varied from 1.56<br />

to 2.61 kg m -3 for IWUE and from 1.42 to 2.02 kg m -3 for<br />

WUE. The values of IWUE and WUE for the V stage<br />

were determined lower than the ones obtained for the R<br />

stage. The reason was related with the decrease in the<br />

yield in T2, T3 and T4 treatments.<br />

Sezen et al. (2005) reported that, the IWUE and WUE<br />

for Gina variety cultivated by drip irrigation were between<br />

3.80 and 7.29 and 4.14 and 6.16 kg m -3 and the yield was<br />

between 12.20 and 20.60 t ha -1 , respectively. The higher<br />

values of IWUE and WUE had been attributed to the<br />

higher relative humidity, caused by decrease in the water<br />

consumption.<br />

Yield-RDI relationship<br />

As shown in Table 5, the highest mean yield was<br />

observed in control treatment as more than 18 t ha -1 . The<br />

yields of the T2, T3, T4, T6, T7 and T8 treatments were 27,<br />

35, 41, 4, 12 and 21% lower than the yield obtained from<br />

the control treatments, respectively. The lower yield in T2,<br />

T3, and T4, when compared with control treatments, can<br />

be attributed to the use of deficit of water as well as the<br />

high temperature during V stage. The V stage was<br />

defined as the period between the beginning of August<br />

and the middle of September. The mean temperatures<br />

were very high during this period and the relative<br />

humidity was very low, whereas the evaporation ratio was<br />

too high (Table 1). Nielsen and Nelson (1998) reported<br />

that, the water stress lead to the growth of the shortest<br />

plants with the least leaf area during the vegetative<br />

growth stage of black bean. In this study, thin and short<br />

plants and plants with lower number of branches were<br />

observed visually in T2, T3 and T4. Water stress during<br />

the R stage in T6, T7, and T8 can also lead to a significant<br />

decrease in the yield by increasing the number of aborted<br />

flowers and pods per plant. Wakrim et al. (2005) showed<br />

that, the RDI treatments resulted in the mild stress which<br />

affected significantly both plant vegetative and reproductive<br />

growth. Similar decreases in the yield have<br />

already been reported by Singh (1995) in common bean,<br />

Karam et al. (2005) in soybean, Cakir (2004) and Payero<br />

et al.(2006) in corn and Karam et al. (2007) in sunflower.<br />

Application of adequate water during flowering and pod<br />

development is the most significant factor in bean<br />

irrigation. Similar responds were observed in this study<br />

for the common bean that was cultivated in the semi-arid<br />

zone. Similar trend in the yield was seen for the yield<br />

components in all irrigation treatments. Water stress<br />

combined with high temperature during flowering of the<br />

bean brought about a decrease in all yield components.


Table 4. IWUE and WUE for RDI treatments in 2002, 2003 and 2004.<br />

Treatment Fresh bean yield(t ha -1 )<br />

2002<br />

a IW(mm)<br />

Simsek et al. 4061<br />

b ETc(mm) IWUE(kg m -3 ) WUE(kg m -3 )<br />

T1 18.37 786 797 2,34 2,30<br />

T2 13.37 734 751 1,82 1,78<br />

T3 12.17 683 704 1,78 1,73<br />

T4 10.64 631 625 1,69 1,70<br />

T5 18.40 786 811 2,34 2,27<br />

T6 17.64 743 739 2,37 2,39<br />

T7 16.04 700 664 2,29 2,42<br />

T8 14.30 656 608 2,18 2,34<br />

2003<br />

T1 17.77 690 708 2.58 2.51<br />

T2 12.84 643 677 2.00 1.90<br />

T3 11.24 595 622 1.89 1.81<br />

T4 10.57 548 589 1.93 1.79<br />

T5 17.94 690 703 2.60 2.55<br />

T6 17.27 652 623 2.65 2.77<br />

T7 15.80 613 558 2.58 2.83<br />

T8 13.90 575 530 2.42 2.62<br />

2004<br />

T1 18.94 687 721 2.76 2.63<br />

T2 13.97 640 660 2.18 2.12<br />

T3 12.27 593 628 2.07 1.95<br />

T4 11.24 545 591 2.06 1.90<br />

T5 18.80 687 728 2.74 2.58<br />

T6 17.84 651 644 2.74 2.77<br />

T7 16.64 615 600 2.71 2.77<br />

T8 15.40 578 536 2.66 2.87<br />

Average<br />

T1 18.36 721 742 2.55 2.47<br />

T2 13.39 672 696 1.99 1.92<br />

T3 11.89 623 651 1.91 1.83<br />

T4 10.82 575 602 1.88 1.80<br />

T5 18.38 721 747 2.55 2.46<br />

T6 17.58 682 669 2.58 2.63<br />

T7 16.16 642 607 2.52 2.66<br />

T8 14.53 603 558 2.41 2.60<br />

a IW, Irrigation water; b ETc, evapotranspiration.<br />

Yield components<br />

The effects of year, growth stages and irrigation regimes<br />

on considered yield components were significant (P <<br />

0.001), whereas no significant differences were found<br />

between the year for the NSPP and between irrigation<br />

regime for PL (Table 6).<br />

These differences could be attributed to the climate,<br />

since it was considerably cold three weeks before the last<br />

harvest time in the second year. The temperatures<br />

dropped by 10°C, compared with other years. Sudden<br />

climate change caused a drop in the yield and yield<br />

components in 2003. The values obtained in the first and<br />

the third years were similar, whereas the yield for the<br />

second year was lower than the values found in other<br />

years. The interactions between the growth stage and


4062 Afr. J. Biotechnol.<br />

Table 5. The effects of regulated deficit irrigation regimes on common bean yield and its components.<br />

Treatment Year T1 T2 T3 T4 T5 T6 T7 T8<br />

2002 18.37±0.66<br />

Fresh bean yield (t ha-1)<br />

a 13.37±0.20 de 12.17±0.30 ef 10.64±0.34 f 18.40±0.51 a 17.64±0.20 ab 16.04±0.09 bc 14.30±0.21 cd<br />

2003 17.77±0.15 a 12.84±0.32 d 11.24±0.15 e 10.57±0.07 e 17.94±0.26 a 17.27±0.07 a 15.80±0.12 b 13.90±0.06 c<br />

2004 18.94±0.28 a 13.97±0.20 d 12.27±0.45 e 11.24±0.09 e 18.80±0.29 a 17.84±0.20 ab 16.64±0.18 bc 15.40±0.40 cd<br />

Average 18.36±0.27 a 13.39±0.21 e 11.89±0.23 f 10.81±0.15 g 18.38±0.22 a 17.58±0.12 b 16.16±0.14 c 14.53±0.26 d<br />

Pod weight (g)<br />

Pod length (mm)<br />

Pod width (mm)<br />

Number of seed per pod†<br />

2002 9.83±0.30 a 7.97±0.07 bc 7.30±0.17 c 6.90±0.12 c 9.77±0.32 a 9.43±0.09 a 8.87±0.15 ab 8.77±0.24 ab<br />

2003 9.33±0.03 a 6.73±0.22 de 6.17±0.29 e 6.10±0.10 e 9.47±0.12 a 8.70±0.31 ab 8.17±0.13 bc 7.33±0.23 cd<br />

2004 10.10±0.20 a 8.13±0.49 bc 7.40±0.30 c 7.17±0.12 c 9.93±0.26 a 9.70±0.35 a 9.20±0.26 ab 8.97±0.20 ab<br />

Average 9.74±0.15 a 7.61±0.27 d 6.96±0.24 de 6.72±0.17 e 9.72±0.14 a 9.27±0.20 ab 8.74±0.18b c 8.36±0.28 c<br />

2002 115.50±0.98 a 86.37±0.20 de 83.43±0.59 e 77.37±2.09 f 115.10±0.73 a 105.50±0.98 b 98.03±1.18 c 88.57±0.68 d<br />

2003 106.80±1.78 a 84.70±0.75 bc 81.33±1.30 c 75.43±2.75 c 106.80±1.35 a 101.20±2.52 a 91.17±2.03 b 84.67±2.47 bc<br />

2004 118.60±2.11 a 94.57±1.79 bc 90.47±0.29 bc 85.60±0.61 c 117.80±1.68 a 105.10±1.04 ab 104.30±6.81 ab 97.60±1.01 bc<br />

Average 113.63±1.96 a 88.54±1.63 d 85.08±1.44 d 79.47±1.86 e 113.23±1.79 a 103.90±1.07 b 97.84±2.82 c 90.28±2.07 d<br />

2002 13.03±0.58 a 9.80±0.10 b 10.07±0.12 b 9.97±0.23 b 13.47±0.58 a 11.47±0.23 ab 10.80±0.59 b 10.37±0.23 b<br />

2003 11.07±0.69 a 9.80±0.15 ab 9.030±0.07 b 9.30±0.21 ab 11.17±0.48 a 10.30±0.21 ab 9.77±0.52 ab 9.63±0.27 ab<br />

2004 14.33±0.38 a 10.77±0.39 cd 10.27±0.20 d 10.07±0.12 d 14.20±0.32 a 12.70±0.17 ab 12.27±0.43 bc 10.77±0.60 cd<br />

Average 12.81±0.55 a 10.12±0.20 cd 9.79±0.20 d 9.78±0.15 d 12.94±0.51 a 11.49±0.36 b 10.94±0.44 bc 10.26±0.26 cd<br />

2002<br />

2003<br />

2004<br />

2.39±0.013 a<br />

(5.7)<br />

2.32±0.063 a<br />

(5.4)<br />

2.42±0.027 a<br />

(5.8)<br />

Average 2.37±0.024a<br />

(5.6)<br />

2.10±0.023 de<br />

(4.4)<br />

2.08±0.035 cd<br />

(4.3)<br />

2.12±0.023 bc<br />

(4.5)<br />

2.10±0.015 c<br />

(4.4)<br />

2.05±0.023 e<br />

(4.1)<br />

1.99±0.044 cd<br />

(4.0)<br />

2.03±0.021 cd<br />

(4.1)<br />

2.02±0.018 d<br />

(4.1)<br />

2.02±0.030 e<br />

(4.05)<br />

1.95±0.037 d<br />

(3.8)<br />

1.98±0.031 d<br />

(3.9)<br />

1.98±0.019 d<br />

(3.9)<br />

2.39±0.023 a<br />

(5.7)<br />

2.34±0.045 a<br />

(5.5)<br />

2.42±0.041 a<br />

(5.9)<br />

2.38±0.022 a<br />

(5.7)<br />

Number of seed per pod was subjected to square root transformation. Non transformed data are represented by numbers given in brackets.<br />

2.31±0.044 ab<br />

(5.3)<br />

2.27±0.024 ab<br />

(5.2)<br />

2.38±0.007 a<br />

(5.7)<br />

2.32±0.022 ab<br />

(5.4)<br />

2.27±0.030 bc<br />

(5.2)<br />

2.25±0.026 ab<br />

(5.1)<br />

2.33±0.021 a<br />

(5.4)<br />

2.28±0.018 b<br />

(5.2)<br />

2.18±0.043 cd<br />

(4.8)<br />

2.12±0.023 bc<br />

(4.5)<br />

2.18±0.030 b<br />

(4.8)<br />

2.16±0.019 c<br />

(4.7)


Simsek et al. 4063<br />

Table 6. Analysis of variance for bean yield, pod weight, pod length, pod width and number of seed per pod (mean of<br />

2002, 2003 and 2004).<br />

Source of variation<br />

Degree of<br />

freedom<br />

Mean square<br />

FY PWt PL PWh NSPP<br />

Year (Y) 2 5.665*** 7.693*** 630.712*** 22.141*** 0.029 ns<br />

Y X R 6 0.345* 0.105 ns 8.464 ns 0.348 ns 0.006 ns<br />

Growth stage (A) 1 167.445*** 28.880*** 1673.311*** 11.045*** 0.525***<br />

Y X A 2 0.043 ns 0.024 ns 10.125 ns 0.755 ns 0.002 ns<br />

Error 6 0.077 0.106 14.258 0.252 0.006<br />

Irrigation regime (B) 3 107.211*** 16.941*** 2687.815 ns 29.585*** 0.305***<br />

Y X B 6 0.085 ns 0.206 ns 18.782 ns 1.484* 0.001 ns<br />

A X B 3 18.595*** 3.343*** 216.972*** 1.492* 0.054***<br />

Y X A X B 6 0.192 ns 0.121 ns 10.753 ns 0.366 ns 0.001 ns<br />

Error 36 0.248 0.187 12.875 0.465 0.002<br />

Total 71 8.02 1.622 175.301 2.557 0.026<br />

*Significant at P < 0.05; ***significant at P < 0.001; R: replication; RDI, regulated deficit irrigation; FY, fresh yield; PWt, pod<br />

weight; PL, pod length; PWh, pod width; NSPP, number of seed per pod.<br />

RDI were very significant at P < 0.001, for FY, PWt, PL<br />

and NSPP, at P < 0.05 for the PWh (Table 6). Table 5<br />

represents the yield components data of treatments.<br />

Positive correlation was obtained between the yield and<br />

the values of PWt, PL, PWh and NSPP. Similarly, Lyon et<br />

al. (1995) reported that a positive correlation exists<br />

between the seed number, seed weight and the yield.<br />

The reason of the higher yield for the control treatments<br />

was due to mainly increase the vegetative growth parameters.<br />

Similar findings have been reported previously by<br />

Demirtas et al. (2010) in soybean and Onder et al. (2006)<br />

in green bean.<br />

As expected, PWt increase had a significant effect on<br />

the yield. In addition, PWt was significantly influenced by<br />

irrigation level (Onder et al., 2006). The lowest value of<br />

the PWt was found in the T4 on which 75% water stress<br />

was applied in the V stage as 6.72 g, when the pod<br />

weight values were examined. The yields were generally<br />

found to be decreasing, for the treatments on which RDI<br />

was applied on the V stage or R stage, as the PWt was<br />

decreased (Table 5). The PWt values of the control were<br />

observed to be higher for all the three years since water<br />

stress was not applied. RDI regime applied in the V stage<br />

caused a significant decrease in PWt, whereas no<br />

important deviation was observed in the R stage (Table<br />

5).<br />

When the PL was examined for the RDI regime, the<br />

values were decreased with the decreasing of irrigation<br />

water. The longest PL (113.63 and 113.23 mm) was observed<br />

in the T1 and T5, while the lowest PL value was<br />

measured as 79.47 mm for T4.<br />

RDI significantly affected the NSPP and displayed<br />

similar effects on both growing stages. When the mean<br />

values of the years were only considered, it was determined<br />

that the yield increased with increasing the NSPP.<br />

The highest and lowest NSPP were determined as 5.70<br />

for T5 and 3.94 for T4 (Table 5).<br />

Conclusions<br />

The results of this study showed that, more positive<br />

results could be obtained for the RDI regimes in the R<br />

stage than the RDI regimes used in the V stage. It is<br />

found that bean yield is very sensitive to the water stress.<br />

Unless RDI is compulsory, it should not be applied in the<br />

V stage because the sensitivity of the plant is considerably<br />

high at this stage. However, excessive tempe-


4064 Afr. J. Biotechnol.<br />

rature was a dominant factor in the decreasing of the<br />

flowering and fruit set. Therefore, the seeding of the<br />

common bean must be done in the first or second weeks<br />

of the August. Climatic conditions particularly, cumulative<br />

pan evaporation play the most significant role among<br />

others. Therefore, irrigation techniques and programs<br />

considering climatic parameters have become very significant.<br />

The RDI regime with 25% deficit at reproductive<br />

stage could be recommended to growers without a<br />

significant decrease in the yield in semi arid zone.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4065-4071, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2399<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Molecular cloning of a novel GSK3/shaggy-like gene<br />

from Triticum monococcum L. and its expression in<br />

response to salt, drought and other abiotic stresses<br />

Yang Xian-Guang, Fan Jin-Yu and Deng Chuan-Liang*<br />

School of Life Science, Henan Normal University, Xinxiang 453007, China.<br />

Accepted 25 March, 2011<br />

The glycogen synthase kinase 3 (GSK3)/SHAGGY-like kinases are nonreceptor serine/threonine protein<br />

kinases that are involved in a variety of biological processes. Here, a novel GSK-3-like kinase encoding<br />

cDNA was isolated from Triticum monococcum L. seedlings by reverse transcriptase polymerase chain<br />

reaction (RT-PCR). Sequence analysis showed that the full length of cDNA consist of 1,543 bp with an<br />

open reading frame of 1,068 bp, which encodes 355 amino acid residues. The deduced amino acid<br />

sequence showed a high homology with shaggy-like kinases from Triticum aestivum, Zea mays,<br />

Trifolium repens, Nicotine tabacum, Medicago sativa and Arabidopsis thaliana; therefore, the gene was<br />

named TmGSK1 (Triticum monococcum Glycogen Synthase Kinase 1,GenBank Accession No.<br />

DQ443471). Southern blot analysis indicated that there was only one copy of TmGSK1 in the einkorn<br />

wheat genome. Quantitative real-time RT-PCR studies showed that the expression of TmGSK1 in the<br />

einkorn wheat was induced by salt stress, mechanical wounding, ABA hormone, cold and drought.<br />

These results suggest that cells accumulate more TmGSK1 mRNA response to those abiotic stresses.<br />

TmGSK1 was shown to be a positive regulator commonly involved in the tolerance to salt, mechanical<br />

injury, ABA hormone, cold and drought in einkorn wheat.<br />

Key words: TmGSK1, abiotic stress, shaggy-like kinase, signal transduction, Triticum monococcum L.<br />

INTRODUCTION<br />

Abiotic stresses such as salinity, drought, extreme tem-<br />

peratures, chemical toxicity and oxidative stress are<br />

becoming particularly widespread in many regions. It is<br />

estimated that salinity affects at least 20% of the world’s<br />

arable land and more than 40% of irrigated land to various<br />

degrees (Wang et al., 2003). These stresses reduce<br />

average yields for most major crop plants by more than<br />

50%. Further more, drought, salinity, extreme tempe-<br />

ratures and oxidative stress are often interconnected, and<br />

may affect the plants in a similar way (Katerji et al., 2004;<br />

Almansouri et al., 2001). These diverse environmental<br />

stresses often activate similar cell signaling pathways and<br />

cellular responses such as the production of stress<br />

*Corresponding author. E-mail: biol@htu.cn<br />

Abbreviations: GSK-3, Glycogen synthase kinase-3; RT-PCR,<br />

reverse transcriptase polymerase chain reaction; PCR,<br />

polymerase chain reaction.<br />

proteins, up-regulation of anti-oxidants and accumulation<br />

of compatible solutes, leading to plant defense and/or<br />

adjustment to adverse conditions (Bajguz and Hayat,<br />

2009; Zhu, 2002; Knight and Knight, 2001). Various<br />

abiotic stresses lead to the overproduction of reactive<br />

oxygen species (ROS) in plants which are highly reactive<br />

and toxic, and cause damage to proteins, lipids,<br />

carbohydrates and DNA which ultimately results in<br />

oxidative stress (Gill and Tuteja, 2010). Oxidative and<br />

osmotic stress activates several protein kinases including<br />

mitogen-activated protein kinases, which may mediate<br />

osmotic homeostasis and/or detoxification responses. A<br />

number of phospholipid systems are activated by osmotic<br />

stress, generating a diverse array of messenger<br />

molecules, some of which may function upstream of the<br />

osmotic stress-activated protein kinases (Zhu, 2001) and<br />

glycogen synthase kinase3/ shaggy like kinase.<br />

Glycogen synthase kinase-3 (GSK-3) is a ubiquitously<br />

expressed protein kinase. It was originally identified as a<br />

regulator of glycogen synthesis in mammals. Animal<br />

GSK-3 participates in glycogen metabolism and in both the


4066 Afr. J. Biotechnol.<br />

Wnt/β-catenin and PI3K/AKT signaling pathways involved<br />

in the regulation of several physiological processes,<br />

including glycogen metabolism, protein synthesis, trans-<br />

cription factor activity and developmental control.<br />

Whereas, plant GSK-3-like kinases (GSKs) have only<br />

recently entered the scene. In contrast to mammals,<br />

which contain two genes, a multigene family encodes<br />

plant GSKs. GSK-3-like genes have been isolated from<br />

plants such as alfalfa (Pay et al., 1993), arabidopsis<br />

(Rozhon et al., 2010; Tavares et al., 2002; Piao et al.,<br />

1999; Dornelas et al., 1999; Jonak et al., 1995; Bianchi et<br />

al., 1994), Petunia hybrida (Decroocq-Ferrant et al., 1995),<br />

Nicotiana tabacum (Einzenberger et al., 1995), Triticum<br />

aestivum (Chen et al., 2003), Oryza sativa (Koh et al.,<br />

2007) and Zea mays (Zou et al., 2008). Present evidence<br />

indicates that plant GSKs are involved in different<br />

processes such as flower development (Dornelas et al.,<br />

2000), wound responses (Jonak et al., 2000), salt stress<br />

(Piao et al., 2001) and brassinosteroid signaling (Peng et<br />

al., 2010; Li and Nam, 2002). Einkorn wheat is a rare<br />

species that reduces the magnitude of population and the<br />

area of distri- bution under anthropogenic activity. It is<br />

closely related to cultivated wheat and has some<br />

properties, for example, resistance to diseases, and thus<br />

were used in selection to improve wheat varieties. Here,<br />

we isolated a member of GSK family from einkorn wheat<br />

and analyzed its expression patterns in response to<br />

abiotic stresses by real time quantitative polymerase<br />

chain reaction (PCR) approach.<br />

MATERIALS AND METHODS<br />

Plant material and stress treatments<br />

Seed of the einkorn wheat (Triticum monococcum L.) were<br />

surface-sterilized for 5 min in 1% (w/v) sodium hypochlorite and was<br />

then washed in distilled water. The sterilized seeds were soaked in<br />

distilled water at 30°C overnight, for germination. The germinated<br />

seeds were transplanted into a pot containing vermiculite. The<br />

seedings were irrigated with distilled water. Two-week-old plant was<br />

treated with distilled water (as a control for Q-PCR analysis), high<br />

concentration of salt (170 mM NaCl), mechanical injury (shearing),<br />

ABA hormone (100 µM), cold (4°C) and drought (30%PEG6000).<br />

Plant was harvested after stress treatments at intervals of definite<br />

time, then immediately frozen in liquid nitrogen and stored at –80°C<br />

for later use.<br />

RNA isolation and cDNA synthesis<br />

Total RNAs were isolated using TRIzol reagent (Invitrogen) according<br />

to the manufacturer's recommendations. Total RNA was treated with<br />

RNase-free DNaseI (Promega) for 20 min at 37°C, DNase I was<br />

degraded at 65°C for 10 min. The integrity of the RNA was verified<br />

after separation by electrophoresis on a 0.8% agarose gel<br />

containing 0.5% (v/v) ethidium bromide. First-strand cDNA was<br />

synthesized from 500 ng of total RNA using Reverse Transcription<br />

system (Promega) with an oligo-dT15 primer. The reaction solution<br />

was used as templates for reverse transcriptase polymerase chain<br />

reaction (RT-PCR).<br />

TmGSK1 gene cloning and sequence analysis<br />

PCR was performed using the following primers for TmGSK1:<br />

T1-forward (5'- GTTGGTGTGGTGCGTCCTTC-3') and T1-reverse<br />

(5'- TGGGGGCCTCGATCCATGAAC -3') designed from the con-<br />

served sequences of the known plant GSKs. Polymerase chain<br />

reaction (PCR) was initiated with hot start method using the single<br />

strand cDNA template and Ex-Taq polymerase (Takara) on Biometra<br />

T-GRADIENT Themoblock. The PCR reaction was carried out for 35<br />

amplification cycles (94°C for 30 s, 61°C for 45 s and 72°C for 90 s).<br />

The RT-PCR product was cloned into pGEM-T vector (Promega)<br />

and sequenced. Bioinformatic analyses were carried out using<br />

DNASTAR software (DNASTAR, Inc., Madison, WI, USA).<br />

DNA extraction and Southern analysis<br />

Genomic DNA was isolated from green leaves of two-weeks-old<br />

einkorn wheat according to the method described in molecular<br />

cloning laboratory manual (Sambrook and Russell, 2001). For<br />

Southern hybridization, genomic DNA was digested separately with<br />

EcoRΙ and Hind III for 16 h and subjected to electrophoresis in 0.8%<br />

(w/v) agarose for 16 h at 4 V cm -1 (20 µg per lane). After<br />

depurination of DNA within the gel in 0.25 M HCl for 30 min at 25°C,<br />

the DNA was transferred to a Hybond-N+ nylon membrane<br />

(Amersham Bio- sciences, Little Chalfont, UK) in 20×SSC and<br />

hybridized with the probe, which was labeled with [α- 32 P] dCTP by<br />

Random Primer DNA Labeling kit(Takara), for 16 h at 65°C. The<br />

blots were washed once in 0.1% SDS, 2×SSC for 15 min at 65°C<br />

and twice in 0.1% SDS, 0.1×SSC for 15 min at 65°C<br />

(high-stringency conditions), and exposed to X-ray film (Kodak).<br />

Expression analysis by quantitative real-time RT-PCR<br />

The expression of mRNA for TmGSK1 was examined by<br />

quantitative real-time RT-PCR under several different abiotic<br />

stresses on the Rotor-Gene 3000 system (Corbett Robotics).<br />

RT-PCR was performed using the all-in-one qPCR kit<br />

(Genecopoeia), following the manufacturers protocol. Primers were<br />

designed by primer express 2.0 software and synthesized by Beijing<br />

Sunbiotech Co., Ltd. A 189 bp product for TmGSK1 cDNA was<br />

amplified using the following primers: T-forward 5'<br />

GTTTGGTCTGCTGGCTGTGTTCTT 3' and T-reverse 5'<br />

GTGCCATGGGTGAGCTTTGATTT 3'. A 118 bp product of einkorn<br />

wheat housekeeping gene β-actin was amplified as an internal<br />

control using the following primers: ACT-f 5'<br />

TGGCACCCGAGGAGCACCCTG 3' and ACT-r 5' GCGACGTAC<br />

ATGGCAGGAACA 3'. The thermal cycling profile consisted of initial<br />

denaturation at 95°C for 3 min and 40 cycles at 95°C for 15 s, 60°C<br />

for 15 s and 72°C for 30 s. The resultant amplification was purified<br />

and sequenced, and showed 100% homology to target gene. To<br />

confirm amplification specificity, the amplified fragments were<br />

analyzed by 1.5% agarose gel electrophoresis containing ethidium<br />

bromide. The specificity of PCR amplification was determined by<br />

constructing a melting curve after the polymerase chain reaction<br />

amplification, and negative controls containing RNase-free water<br />

instead of sample was run to confirm that the samples were not<br />

cross contaminated. Quantitation of relative expression was<br />

determined by the 2 −∆(∆CT) method (Livak and Schmittgen, 2001).<br />

Each sample was run in triplicate.<br />

RESULTS AND DISCUSSION<br />

cDNA clone and sequence analysis of the TmGSK1<br />

protein<br />

The TmGSK1 cDNA contained 1,543 bp with an open


Xian-Guang et al. 4067<br />

Supplemental material 1. Alignment of sequence of GSKs predicted protein from T. monococcum L., T. aestivum, Z. mays,N. tabacum, M.<br />

sativa and A. thaliana. The black shading indicates identical amino acids. Amino acid sequences were aligned with the MegAlign program<br />

(DNAstar software (DNASTAR, Inc., Madison, WI, USA)) using the CLUSTALW method.<br />

reading frame of 1,068 bp (start codon at 79 bp and stop<br />

codon at 1146 bp) encoding a deduced protein of 355<br />

amino acids (GenBank accession No. DQ443471). The<br />

theoretical isoelectric point (PI) of the putative amino acid<br />

sequence is 8.34 and molecular weight (MW) is 40.3 kDa.<br />

The deduced amino acid sequences of TmGSK1 and<br />

GSKs from T. aestivum (AF525086), Z. mays (AY722707),<br />

Trifolium repens (X99100), N. tabacum (X77763),<br />

Medicago sativa (X68409) and Arabidopsis thaliana<br />

(BT000132) are aligned (Supplemental material 1). The<br />

putative amino acid sequence of TmGSK1 showed high<br />

homology to GSKs from T. aestivum (94.2%), Z. mays<br />

(95.5%), T. repens (90.5%), N. tabacum (83.4%), M.<br />

sativa (84.4%) and A. thaliana (73.2%). Phylogenetic<br />

analysis of TmGSK1 is shown in Supplemental material 2.<br />

Southern analysis of TmGSK1<br />

Southern analysis of genomic DNA digested separately<br />

with two different restriction enzymes, EcoR I and HindIII,<br />

was performed to estimate the copy number of TmGSK1<br />

in the einkorn wheat genome. As shown in Figure 1, the<br />

banding pattern was produced with the TmGSK1<br />

full-length probe (1,543 bp) and a high-stringency wash.<br />

Only one hybridizing band in each digestion was<br />

observed, indicating that the TmGSK1 sequence was<br />

present as a single copy in the einkorn wheat genome.<br />

Quantitative real-time RT-PCR of the TmGSK1 gene in<br />

response to various abiotic stresses<br />

The quantitative real-time RT-PCR analyses of TmGSK1<br />

during various abiotic stresses are shown in Figure 2.<br />

Constitutively expressed β-actin gene was used as an<br />

internal control. TmGSK1 expression was upregulated in<br />

these abiotic stresses. Accumulation of TmGSK1 mRNA<br />

increased step by step under salt stress (Figure 2a). Its<br />

expression was up to 1.5-folds when compared to the con-


4068 Afr. J. Biotechnol.<br />

Supplemental material 2. The phylogenetic tree of predicted protein sequence of GSKs from T. monococcum L.,T. aestivum, Z.<br />

mays, N. tabacum, M. sativa and A. thaliana.<br />

trol when its was stressed 6 h with NaCl and reached its<br />

maximum within 12 h after treatment; under wounding<br />

treatment, the expression pattern of TmGSK1 was in-<br />

duced earlier than that under NaCl treatment (Figure 2b).<br />

Injury inducing its expression increased rapidly, up to<br />

2-folds when it was injured just one hour. For abscissic<br />

acid (ABA) treatment, TmGSK1 transcription was induced<br />

similar to that under wounding. Its expression increased<br />

3-folds after treated with ABA for 1 h (Figure 2c). For<br />

drought treatment, it was 2.0 and 2.6 folds increase after<br />

treated with PEG6000 at 6 and 12 h (Figure 2d); low<br />

temperature (4°C) can induce its high expression too<br />

(Figure 2e). Expression pattern analysis indicates the<br />

possible involvement of TmGSK1 in salt, wounding, ABA,<br />

drought and cold stress signal transduction pathways in<br />

einkorn wheat.<br />

To understand a mechanism of abiotic stress signal<br />

transduction in plant, it is important to identify the<br />

components involved in the pathway. In this study, we<br />

Figure 1. Southern-blot analysis of TmGSK1. Left: Agrose<br />

gel electrophoresis of the genomic DNA which was<br />

completely digested with EcoR I (E) and Hind III (H); Right:<br />

hybridization using the full-length sequence of AbGSK1 as<br />

probe.<br />

isolated the glycogen synthase kinase 3 (GSK3)/<br />

SHAGGY-like kinases from T. monococcum L. Previously,<br />

it has been shown that GSK3 are involved in a variety of<br />

biological processes. Present evidence indicates that<br />

plant GSKs are also involved in different processes such<br />

as hormone signaling, NaCl stress and other abiotic<br />

stresses. In accordance with these previous observations,<br />

we found in the present study that TmGSK1 was also<br />

involved in the response of abiotic stresses such as salt<br />

stress, mechanical injury, abscissic acid hormone, cold<br />

and drought stress. Interestingly, as shown in Figure 2,<br />

the plants accumulate more TmGSK1 mRNA response to<br />

all of these stresses. These means such stresses are<br />

inter- connected and may induce similar cellular signal<br />

transduction pathways. Moreover, these signal pathways<br />

may cross-talk on TmGSK1 or TmGSK1 may integrate all<br />

of these signal pathways in einkorn wheat. Stress signal<br />

activate the glycogen synthase kinase through different<br />

ways and substrates are phosphorylated and activity is


a<br />

Stress time (h)<br />

b<br />

Stress time (h)<br />

c<br />

Stress time (h)<br />

Figure 2. The relative mRNA level of TmGSK1 under salt stress treatment (a);<br />

wounding treatment (b); ABA treatment (c); drought treatment (d); cold treatment<br />

(e). The quantitative real-time RT-PCR analysis of TmGSK1 gene expression in T.<br />

monococcum L in response to salt stress (1% NaCl), mechanical injury, ABA<br />

hormone, drought and cold treatment (4°C) using constitutively expressed β-actin<br />

gene as an internal control.<br />

Xian-Guang et al. 4069


4070 Afr. J. Biotechnol.<br />

Figure 2. Contd.<br />

e<br />

d<br />

Stress time (h)<br />

Stress time (h)<br />

regulated. Then, stress responsive genes express and<br />

start-up stress responsive mechanisms to re-establish<br />

cellular homeostasis and protect and repair damaged<br />

proteins and membranes. Therefore, TmGSK1 was<br />

shown to be a positive regulator commonly involved in the<br />

tolerance to salt, mechanical injury, ABA hormone, cold<br />

and drought in einkorn wheat. However, most<br />

mechanisms in this model are still unknown, and further<br />

investigation should be carried out to indicate the wheat<br />

plant abiotic stress responsive signal transduction in<br />

details.<br />

Acknowledgments<br />

This work was supported by the National Nature Science<br />

Foundation of China (NO.31000165, 31171182), the Key<br />

Project of Chinese Ministry of Education (NO.209076) and<br />

Foundation of science and technology research projects<br />

of Henan Province in China (No. 092300410099,<br />

102300413213).<br />

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Piao HL, Pih KT, Lim JH, Kang SG, Jin JB, Kim SH, Hwang I (1999). An<br />

Arabidopsis GSK3/shaggy-Like gene that complements yeast salt<br />

stress-sensitive mutants is induced by NaCl and Abscisic Acid. Plant<br />

Physiol. 119(4): 1527-1534.<br />

Rozhon W, Mayerhofer J, Petutschnig E, Fujioka S, Jonak C (2010).<br />

ASKtheta, a group-III Arabidopsis GSK3, functions in the<br />

brassinosteroid signalling pathway. Plant J. 62(2): 215-223.<br />

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3rd edn. Cold Spring Harbor Laboratory Press, New York.<br />

Tavares R, Vidal J, van Lammeren A, Kreis M (2002). AtSKθ, a plant<br />

homologue of SGG/GSK-3 marks developing tissues in Arabidopsis<br />

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salinity and extreme temperatures: towards genetic engineering for<br />

stress tolerance. Planta, 218(1): 1-14.<br />

Zhu JK (2001). Cell signaling under salt, water and cold stresses. Curr.<br />

Opin. Plant Biol. 4(5): 401-406.<br />

Zhu JK (2002). Salt and drought stress signal transduction in plant. Annu.<br />

Ann. Rev. Plant Biol. 53: 247-273.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4072-4080, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2419<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Some quality traits and neurotoxin β-N-oxalyl-L-α,βdiaminopropionic<br />

acid (β-ODAP) contents of Lathyrus<br />

sp. cultivated in Turkey<br />

Ugur Basaran 1 *, Ozlem Onal Asci 2 , Hanife Mut 1 , Zeki Acar 3 and Ilknur Ayan 3<br />

1 Bozok University, Faculty of Agriculture, Department of Field Crops, Sivas Street 66200, Yozgat-Turkey.<br />

2 Ordu University, Faculty of Agriculture, Department of Field Crops, Cumhuriyet Street, 52200, Ordu-Turkey.<br />

3 Ondokuz Mayis University, Faculty of Agriculture, Department of Field Crops, 55139, Samsun-Turkey.<br />

Accepted 25 March, 2011<br />

In this study, 52 landraces accessions belonging to the species of Lathyrus sativus and Lathyrus<br />

clymenum collected from different regions of Turkey and one released variety of Lathyrus sativus were<br />

evaluated for some quality traits like seed coat color, 1000 seed weight, crude protein and neurotoxin β-<br />

N-oxalyl-L-α,β-diaminopropionic acid (β-ODAP) content. Among the investigated landraces, high<br />

variation was determined for all the investigated traits, which was attributed to both genetic as well as<br />

environmental factors. Protein content was as between 24.07 to 30.90% and β-ODAP content was as<br />

1.35 to 3.86 mg g -1 for seed. Many landraces with low β-ODAP content (< 2.00 mg g -1 ) and high protein<br />

content seem to be promising material for Lathyrus breeding. Furthermore, many investigated<br />

landraces showed lower β-ODAP and higher protein contents compared with the released variety. Also,<br />

the local consumption of L. sativus landraces as a food or feed was determined during the collection<br />

process.<br />

Key words: Lathyrus, landrace, protein, β-ODAP, Turkey.<br />

INTRODUCTION<br />

Lathyrus sativus L. (grass pea, in Turkish “murdumuk,<br />

culban, fasil, feslek”) is a traditional crop use for both<br />

animal consumption as forage and grain and for human<br />

consumption as a pulse. L. sativus has many advantages<br />

including drought and flooding tolerance, disease<br />

resistance, high yield potential and favorable nutritional<br />

composition of seeds. It can easily grow in different soil<br />

types and at high altitudes (Tivari and Campbell, 1996a,<br />

b). L. sativus grows with as little as 250 mm of annual<br />

precipitation and it is typically the last surviving plant in<br />

drought times (Tekele-Haimanot et al., 1990; White et al.,<br />

2002).<br />

Besides the obvious advantages, L. sativus seeds<br />

contain a major anti-nutritional compound namely β-<br />

ODAP (Zhao et al., 1999; Wang et al., 2000). Heavy and<br />

prolonged (3 to 4 month) consumption of L. sativus seeds<br />

*Corresponding author. E-mail: ugurb@omu.edu.tr. Tel: (+90<br />

354) 212 70 01. Fax: (+90 354) 212 27 89.<br />

can cause a disease known as ‘lathyrism’ or ‘neurolathyrism’,<br />

a disease causing paralysis of the limbs<br />

(Spencer et al., 1986; Yan et al., 2006).<br />

Until recently, relatively little effort has been made<br />

towards the improvement of this hardy pulse crop due to<br />

its toxicity. To counter the effects of climate change on<br />

agricultural productivity, L. sativus is gaining interest in<br />

southern Australian Mediterranean-type environments<br />

(Hanbury et al., 1999), North America (Campbell et al.,<br />

1994) and Southern Europe (Crino et al., 2004; Tavoletti<br />

et al., 2005; Polignano et al., 2009). Also, many studies<br />

have been carried out to bring grass pea in areas under<br />

monoculture cereal cultivation in Europe (Vaz Patto et al.,<br />

2006).<br />

In order to reintroduce L. sativus in crop rotations under<br />

marginal environments, breeding programs are in progress<br />

worldwide to improve genotypes combining high<br />

yield, high protein content and low or zeroneurotoxin<br />

content (ODAP) (Bozzini, 1997; Siddique et al., 1998;<br />

Hanbury et al., 2000).<br />

Lathyrus cultivation was not well documented in


Basaran et al. 4073<br />

Figure 1. Distribution of the collection area in Turkey. 02, Adiyaman; 15, Burdur; 16, Bursa; 18, Cankiri; 20, Denizli; 23, Elazig; 43,<br />

Kutahya, 44, Malatya; 48, Mugla; 50, Nevsehir; 55, Samsun; 64, Usak.<br />

Turkey. However, some authors reported that, L. sativus,<br />

Lathyrus cicera, Lathyrus clymenum and Lathyrus ochrus<br />

were cultivated in Turkey (Genc and Sahin, 2001; Cetin,<br />

2006) and L. sativus was widely cultivated in the country<br />

in the past (Davis, 1970). In addition, Lathyrus hirsutus<br />

had been cultivated in the east and inner parts of Turkey<br />

until 1960s (Tosun, 1974). Lathyrus cultivation dramatically<br />

decreased from the 1960s. Today, based on actual<br />

data, only L. sativus is cultivated in 18.000 ha for the<br />

seed in Turkey (TUIK, 2008). This crop is mainly used as<br />

stock-feed; however, it is rarely used for human<br />

cunsumption in some parts of the country (Basaran et al.,<br />

2010).<br />

There is only one released variety of L. sativus,<br />

‘Gürbüz 2001’ in Turkey. This means, approximately all<br />

the cultivated genotypes are landraces; hence, they are<br />

promising materials for breeding programs. Most of these<br />

landraces were not previously screened. However,<br />

Karadag et al. (2010) indicated that, it had a high<br />

variability in β-ODAP levels in winter and spring-sown<br />

grasspea lines. On the other hand, interestingly, there is<br />

no lathyrism case documented for both humans and<br />

animals in Turkey which may result from landraces with<br />

low β-ODAP content. So, the screening of these landraces<br />

regarding their β-ODAP content is very important.<br />

For this purpose, expeditions were carried out to collect<br />

Lathyrus landraces cultivated in Turkey and to evaluate<br />

their quality traits including the protein and β-ODAP<br />

contents. Also, this study provided comprehensive and<br />

additional information about the general status of<br />

Lathyrus cultivation in Turkey.<br />

MATERIALS AND METHODS<br />

In this study, a total of 52 local landrace accessions of Lathyrus (51<br />

L. sativus and 1 L. clymenum) collected from Turkey were<br />

examined. To collect Lathyrus accessions, initially 12 cities in which<br />

Lathyrus are cultivated were determined based on data of the<br />

Turkish Statistical Institute (TUIK, 2007) and Ministry of Agriculture<br />

records. The collection program was carried out in 2007. The<br />

collection area is given in Figure 1.<br />

Lathyrus accessions were taken from different farmers or local<br />

seed markets and their name and altitude of collection cites were<br />

recorded. Three landraces of the collected L. sativus genotypes are<br />

commercial material. In addition, the released variety ‘Gürbüz-2001’<br />

was obtained from Turkish Central Research Institutes for Field<br />

Crops. Seed coat color, 1000 seed weight, protein and β-ODAP<br />

contents were determined for each sample.<br />

Seed coat color was determined by visual observation. Total<br />

nitrogen was determined by the Kjeldahl method and crude protein<br />

content was estimated using a conversion factor of 6.25 (Kacar,<br />

1972). All the data were presented as mean, mimimum, maximum<br />

and standard deviation determined by using SPSS 13.0 statistical<br />

package program.<br />

Determination of β-ODAP<br />

β-ODAP was determined using capillary zone electrophoresis<br />

(CZE) (Zhao et al., 1999) with some modifications. CZE was<br />

carried out using Agilent HP 3D and UV detection at 195 nm. The


4074 Afr. J. Biotechnol.<br />

capillar was 55 cm (44 cm effective length) x 50 µm. The analyses<br />

were performed at a constant voltage of 20 kV at 20°C in an<br />

electrolyte of 75 mM (H3BO3) buffer at pH 7.5. The required pH of<br />

the buffer was adjusted by adding NaOH. All chemicals were of<br />

analytical-reagent grade. The reference standard of β-ODAP was<br />

obtained from Dr. S.L.N.Rao (Lathyrus Technologies, Hyderabad,<br />

India).<br />

Sample extraction<br />

0.5 g powder of L. sativus seeds was soaked in 50 ml ethanol-water<br />

(30:70, v/v) solution and was shaken for 2 h (in ice). After<br />

centrifugation (3500 rpm at 15 min), the upper clear solution was<br />

filtered with 0.45 µm filter paper. Then clear solution was diluted<br />

with ultra distilled water (1:1) and was injected directly into the CZE<br />

system for 40 s at 50 mbar.<br />

RESULTS AND DISCUSSION<br />

There was very limited information about the distribution<br />

and density of Lathyrus cultivation in previous years. But,<br />

according to the old farmer’s statements, Lathyrus cultivation<br />

was more widespread in the past than now and a<br />

dramatically decrease begun in the 1960’s. During the<br />

collection expedition, only landraces of L. sativus and L.<br />

clymenum species were collected. But L. cicera, L.<br />

ochrus and L. hirsutus were not encountered; their<br />

cultivation was reported by different authors (Tosun,<br />

1974; Genc and Sahin, 2001; Cetin, 2006). The absence<br />

of L. cicera and L. ochrus among the encountered species<br />

in the study clearly indicated that, the cultivated<br />

Lathyrus materials had been exposed to genetic erosion<br />

in the last 50 years and a lot of genetic materials<br />

disappeared during the period.<br />

The collection sites and local names of Lathyrus<br />

landraces throughout the country are presented in Table<br />

1. Seed trade for both L. sativus and L. clymenum was<br />

very limited and also, there was only one released variety<br />

named ‘Gürbüz-2001’ in Turkey. So, farmers usually sow<br />

their own seed produced in previous years.<br />

In general, L. sativus is cultivated at high altitudes (600<br />

to 1600 m). The common name of Lathyrus species is<br />

“murdumuk” in Turkey. Moreover, Lathyrus is known by<br />

many local names such as “culban, coluk, fasil feslek”<br />

and L. clymenum is known as “kara murdumuk” (Table<br />

1).<br />

L. sativus is mainly cultivated for its seed and it is used<br />

as feed (Table 2). In some cities, however, its grain has<br />

been rarely consumed by humans as a soup, pilaf or<br />

snack (by mixing with chickpea). L. clymenum is<br />

cultivated only in Mugla city in small field for household<br />

consumption and its seed is used to make soup and it is<br />

added in the traditional food named “stuffed zucchini<br />

flowers”.<br />

According to farmers, L. sativus has higher seed yield<br />

than other legumes especially in dry condition and do not<br />

shatter its pods. So, farmers prefer to harvest the plant<br />

for seed production than for forage. For animal feeding,<br />

seeds are used by soaking in water or grinding and<br />

mixing with cereals in Turkey.<br />

Seed coat colors amongst the landraces of L. sativus<br />

examined in the study were grey, brown, creamy and<br />

mostly mixture of these color. Creamy seed coat color<br />

was observed in few landraces in the mixture. However,<br />

landrace 5501 used only for human consumption had<br />

creamy seed coat color alone. The color variation in a<br />

single landrace can be related to genetic variability. So,<br />

besides inter population variation, intra population genetic<br />

variation was as high as possible, which is a desired<br />

feature in plant breeding. On the other hand, genotypes<br />

with light cream color seed had low neurotoxin content<br />

(Dahiya, 1976). It was reported that, seed coat color<br />

could be a useful visual character to select low toxic lines<br />

(Campbell, 1997). However, Kaul et al. (1986), did not<br />

find any relationship between seed coat color and toxic<br />

contents. In this study, certain relationship between seed<br />

color and β-ODAP contents was not determined. Many<br />

landraces with grey or brown seed coat color had low β-<br />

ODAP than creamy seed’s landraces. Moreover, the<br />

6406 numbered landraces, which had low toxicity, had<br />

grey and brown seed color (Table 2).<br />

1000 seeds weight changed from 72.2 g in landrace<br />

numbered 2303 to 148.0 g in landrace numbered 5501<br />

(Table 2) with mean 100.2 g (Figure 2). According to<br />

farmers’ experience, they had not observed pod shattering<br />

in these landraces. L. sativus showed high<br />

variations (41 to 510 g) regarding 1000 seed weight<br />

(Joshi, 1997; Rybinski et al., 2008). Larger-seeded types<br />

are mostly found around the Mediterranean region, while<br />

small-seeded types are found in Indian subcontinent. In<br />

addition, small-seeded types have a tendency for pod<br />

shattering (Campbell, 1997). So, in general, the cultivated<br />

L. sativus landraces in Turkey showed similar features<br />

with the Mediterranean genotypes.<br />

Crude protein (CP) contents of the landraces varied<br />

from 24.07 to 30.90% for L. sativus and it was 26.33% for<br />

L. clymenum. CP content in the released variety was<br />

25.81% (Table 2.) and mean CP content was 28.23% for<br />

all the landraces (Figure 3). Variation in the seed CP<br />

contents can be attributed more to ecological factors<br />

other than genetic variation due to the ecological differences<br />

of the collection areas. But, Lathyrus is mostly<br />

cultured on poor or marginal lands with no fertilization in<br />

Turkey. So, these hard growing conditions determined<br />

the high CP ratios (28.23% as a mean) which indicated<br />

that many of the collected landraces may display genetic<br />

ability for high protein content. The seed CP ratios<br />

obtained in this study are similar to the results of other<br />

authors (Rotter et al., 1991; Rosa et al., 2000; Urga et al.,<br />

2005; Karadag et al., 2009; Karadag and Yavuz, 2010)<br />

who reported protein content for L. sativus seed between<br />

21.49 and 31.98%. But our results were lower than the<br />

results of Abd El Zaher et al. (2007) who reported that,<br />

seed protein was between 29.17 and 37.33% in L.<br />

sativus and between 36.11 and 36.72% in L. clymenum.


Table 1. Collection sities and local name of accessions of Lathyrus sp.<br />

Basaran et al. 4075<br />

Number Accession** City Village/district Local name Altitude (m)<br />

1<br />

2<br />

LS-0201<br />

LS-0202<br />

Adiyaman<br />

Dardogan/ Merkez<br />

Büklum/ Merkez<br />

Culban/ Coluk<br />

Culban/ Coluk<br />

825<br />

787<br />

3<br />

4<br />

LS-1501<br />

LS-1502<br />

Burdur<br />

Kizilkaya/ Bucak<br />

Harmanli/ Yesilova<br />

Murdumuk<br />

Murdumuk<br />

787<br />

1093<br />

5 LS-1503 Kizilkaya/ Bucak Murdumuk 787<br />

6 LS-1601<br />

Dogancılar/ Harmancık Murdumuk 781<br />

7<br />

8<br />

LS-1602<br />

LS-1603<br />

Bursa<br />

Dogancılar/ Harmancık<br />

Demirciler/ Harmancık<br />

Murdumuk<br />

Murdumuk<br />

781<br />

719<br />

9 LS-1604* Commercial Murdumuk -<br />

10 LS-1801<br />

Yukaripelitozu/ Merkez Murdumuk 768<br />

11 LS-1802 Cankiri Yukaripelitozu/ Merkez Murdumuk 768<br />

12 LS-1803 Elmaci / Eldivan Murdumuk 957<br />

13 LS-2001<br />

Uzunpinar/ Merkez Murdumuk/Fasil 1148<br />

14 LS-2002 Cabar/ Civril Murdumuk/Fasil 1013<br />

15 LS-2003 Ulukent/ Tavas Murdumuk/Fasil 934<br />

16<br />

17<br />

LS-2004<br />

LS-2005<br />

Denizli<br />

Balkica/ Tavas<br />

Eziler/ Guney<br />

Murdumuk/Fasil<br />

Murdumuk/Fasil<br />

1150<br />

841<br />

18 LS-2006 Baklancakirlar/ Cal Murdumuk/Fasil 886<br />

19 LS-2007 Alaaddin/ Acipayam Murdumuk/Fasil 887<br />

20 LS-2008 Karahoyukavsari/ Acipayam Murdumuk/Fasil 900<br />

21 LS-2301<br />

Uzuntarla/ Merkez Culban 995<br />

22 LS-2302 Elazıg Acipayam/ Merkez Culban 987<br />

23 LS-2303* Commercial Culban -<br />

24 LS-4301 Kutahya -/ Domonic Murdumuk 880<br />

25 LS-4401<br />

Yenikoy/ Darende Culban 1600<br />

26<br />

27<br />

LS-4402<br />

LS-4403<br />

Malatya<br />

Yenikoy/ Darende<br />

Basdirek/ Darende<br />

Culban<br />

Culban<br />

1600<br />

1445<br />

28 LS-4404* Commercial Culban -<br />

29 LS-5001<br />

Kalecik/ Kozakli Murdumuk 1120<br />

30 LS-5002 Sadik/ Hacibektas Murdumuk 1159<br />

31 LS-5003 Sahinler/ Gulsehir Murdumuk 880<br />

32 LS-5004 Nevsehir Hacıhalilli/ Gulsehir Murdumuk 1000<br />

33 LS-5005 Cullar/ Acigol Murdumuk 1086<br />

34 LS-5006 Tatlarin/ Aciöl Murdumuk 1113<br />

35 LS-5501 Degirmenci/ Kavak Feslek 600<br />

36 LS-6401<br />

Hacim/ Sivasli Murdumuk/Fasil 938<br />

37 LS-6402 Kasbelen/ Merkez Murdumuk/Fasil 960<br />

38 LS-6403 Kasbelen/ Merkez Murdumuk/Fasil 960<br />

39 LS-6404 Kasbelen/ Merkez Murdumuk/Fasil 960<br />

40 LS-6405 Inay/ Ulubey Murdumuk/Fasil 743<br />

41 LS-6406 Inay/ Ulubey Murdumuk/Fasil 743<br />

42 LS-6407 Inay/ Ulubey Murdumuk/Fasil 743<br />

43<br />

44<br />

LS-6408<br />

LS-6409<br />

Usak<br />

Kisla/ Ulubey<br />

Kisla/ Ulubey<br />

Murdumuk/Fasil<br />

Murdumuk/Fasil<br />

800<br />

800<br />

45 LS-6410 Kisla/ Ulubey Murdumuk/Fasil 800<br />

46 LS-6411 Karacaahmet/ Ulubey Murdumuk/Fasil 780<br />

47 LS-6412 Ilyasli/ Merkez Murdumuk/Fasil 770<br />

48 LS-6413 Ilyasli/ Merkez Murdumuk/Fasil 770<br />

49 LS-6414 Ilyasli/ Merkez Murdumuk/Fasil 770<br />

50 LS-6415 Ilyasli/ Merkez Murdumuk/Fasil 770<br />

51 LS-6416 Ilyasli/ Merkez Murdumuk/Fasil 770<br />

52 LS Released variety ‘Gurbuz-2001’ -<br />

53 LC-4801 Mugla Cumalı- /Datça Kara murdumuk ?<br />

*Commercial material; ** first two numbers are city traffic code and last two numbers are sample number; LS, L. sativus; LC, L. clymenum.


4076 Afr. J. Biotechnol.<br />

Table 2. Local use, morphological and chemical features of accessions of Lathyrus sp.<br />

Accession* Local Use Seed coat color*** 1000 seed weight (g) Crude protein (%) β-ODAP (mg g -1 )<br />

LS-0201 Feed G+B 92.0 30.90 1.90<br />

LS-0202 Feed G+B 84.9 28.03 1.66<br />

LS-1501 Feed+food G 110.6 30.04 2.19<br />

LS-1502 Feed+food G+B 86.4 29.00 1.75<br />

LS-1503 Feed+food G+B 94.4 30.09 3.24<br />

LS-1601 Feed+food G+B+C 102.3 30.57 1.68<br />

LS-1602 Feed+food C+B 134.0 28.00 2.32<br />

LS-1603 Feed+food G+B 107.3 28.61 2.38<br />

LS-1604 Feed G+B 99.6 27.61 2.62<br />

LS-1801 Feed G+B 97.8 27.98 1.83<br />

LS-1802 Feed G+B 122.6 27.50 2.06<br />

LS-1803 Feed B 104.7 28.50 3.86<br />

LS-2001 Feed G+B 76.3 29.34 2.30<br />

LS-2002 Feed G+B 80.6 30.10 2.07<br />

LS-2003 Feed G+B 121.5 26.96 2.02<br />

LS-2004 Feed G+B 115.0 26.67 3.33<br />

LS-2005 Feed G+B 77.2 27.00 3.84<br />

LS-2006 Feed B 73.3 26.23 1.74<br />

LS-2007 Feed G+B 90.5 27.86 2.26<br />

LS-2008 Feed G+B 101.5 27.18 1.71<br />

LS-2301 Feed B 106.3 29.27 1.74<br />

LS-2302 Feed B 72.2 27.34 3.15<br />

LS-2303 Feed G+B 89.94 27.80 2.25<br />

LS-4301 Feed G+B+C 118.6 30.41 1.81<br />

LS-4401 Feed G+B 80.8 30.33 1.41<br />

LS-4402 Feed G+B 101.8 28.62 1.99<br />

LS-4403 Feed B 103.3 28.16 2.02<br />

LS-4404 Feed G 129.0 27.02 2.67<br />

LS-5001 Feed G+B 106.5 28.55 2.18<br />

LS-5002 Feed G+B 102.2 28.69 2.20<br />

LS-5003 Feed G+B 112.2 27.99 2.00<br />

LS-5004 Feed G+B 103.4 27.98 2.07<br />

LS-5005 Feed G+B 140.8 26.23 2.93<br />

LS-5006 Feed B 113.6 28.80 2.06<br />

LS-5501 Food C 148.0 24.07 1.80<br />

LS-6401 Feed G+B 88.3 28.77 1.54<br />

LS-6402 Feed G+B 95.4 28.21 1.42<br />

LS-6403 Feed G+B 107.3 27.91 1.89<br />

LS-6404 Feed G+B 92.2 27.63 1.85<br />

LS-6405 Feed G+B 108.9 29.19 1.72<br />

LS-6406 Feed G+B 75.3 29.78 1.35<br />

LS-6407 Feed G+B 107.5 28.60 2.42<br />

LS-6408 Feed G+B 79.7 28.32 2.59<br />

LS-6409 Feed G+B 76.8 26.60 2.36<br />

LS-6410 Feed G+B 104.0 27.63 2.32<br />

LS-6411 Feed G 85.4 27.78 1.91<br />

LS-6412 Feed G+B 93.4 28.09 1.71<br />

LS-6413 Feed G+B 97.1 27.61 2.38<br />

LS-6414 Feed G+B 85.0 29.70 2.65<br />

LS-6415 Feed G+B 90.3 29.51 1.69<br />

LS-6416 Feed G+B 86.7 29.15 2.90<br />

LS** Feed B 117.8 25.81 2.50<br />

LC-4801 Food B 118.8 26.33 2.68<br />

* LS, L. sativus; LC, L. Clymenum; ** released variety; *** G, grey; B, brown; C, creamy.


Frequency<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

60.00 80.00 100.00 120.00 140.00 160.00<br />

1000 seed weight (g)<br />

Figure 2. General distribution of Lathyrus landraces for 1000 seed weight.<br />

β-ODAP levels of the samples were between 1.35 and<br />

3.86 mg g -1 (Table 2) with a mean of 2.21 mg g -1 (Figure<br />

4.) The highest toxic level was determined in the landrace<br />

collected from Cankiri numbered 1803, while the lowest<br />

level was obtained in the landrace collected from Usak<br />

numbered 6406 (Table 2). The β-ODAP concentration in<br />

the released variety named ‘Gurbuz- 2001’ was higher<br />

than the mean of all the samples (2.50 mg g -1 ). Low toxic<br />

levels generally, were in landraces belonging to L. sativus<br />

and β-ODAP content was determined as 2.68 mg g -1 in L<br />

clymenum seed (Table 2).<br />

β-ODAP concentration of L. sativus seeds varied between<br />

0.2 to 7.2 mg g -1 in dry matter (Deshpande and<br />

Campbell, 1992). For safe consumption by humans, β-<br />

ODAP content of seeds has to be lower than 2.2 mg g -1<br />

(Abd El Moneim et al., 1999). In the present work, β-<br />

ODAP was lower than 2.00 mg g -1 in 21 L. sativus<br />

landraces (Figure 3), indicating the importance of land-<br />

Mean = 100.2083<br />

Std. Dev. = 17.31015<br />

N = 53<br />

Basaran et al. 4077<br />

races in screening for low toxic content.<br />

There has been no lathyrism case documented in<br />

human or animals up till now in Turkey. Also, farmers did<br />

not know anything about lathyrism or any toxic effect of<br />

Lathyrus seeds on human or animals. In fact, lathyrism<br />

risk is very low in Turkey. This is probablly due to low and<br />

rare consumption, soaking procedure and low β-ODAP<br />

content, because, the grain of Lathyrus sativus is rarely<br />

used in human diet for stock feeding in the country.<br />

Neurotoxic β-ODAP is a water-soluble amino acid that<br />

can be leached from seed by soaking in water (Akalu et<br />

al., 1998). On the other hand, Lahyrism is induced by<br />

heavy and prolonged (more than three months) consumption<br />

of the L. sativus seeds (Mehta et al., 1994).<br />

Genotype is the most important factor determining<br />

ODAP concentration; environment has less influence<br />

(Hanbury et al., 1999). However, environmental factors<br />

such as drought, zinc deficiency, iron oversupply and the


4078 Afr. J. Biotechnol.<br />

Frequency<br />

20<br />

15<br />

10<br />

5<br />

0<br />

24.00<br />

25.00 26.00 27.00 28.00 29.00 30.00 31.00<br />

Protein (%)<br />

Figure 3. General distribution of Lathyrus landraces for seed protein contents.<br />

Frequency<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

1.00<br />

B-ODAP (mg/g)<br />

Mean = 2.206<br />

Std. Dev. = 0.56494<br />

N = 53<br />

1.50 2.00 2.50 3.00 3.50 4.00<br />

Figure 4. General distribution of Lathyrus landraces for seed β-ODAP contents.


presence of heavy metals in soil can considerably<br />

increase the level of β-ODAP in seeds (Lambein et al.,<br />

2007). So, the development of varieties for a specific<br />

region is one of the effective solutions to avoid lathyrism.<br />

At this point, local landraces will be usefull. Analysis of a<br />

large number of germplasm of L. sativus showed that,<br />

samples originated from Africa, Syria, Turkey and Cyprus<br />

had significantly lower content in the dry seed than in the<br />

samples originated from Bangladesh, Ethiopia, India,<br />

Nepal and Pakistan (Abd El Moneim et al., 2001). Therefore,<br />

the variation in this study on β-ODAP level was<br />

attributed both to genetic factors and environmental<br />

conditions. For this reason, there are needs for new<br />

studies, to determine the β-ODAP levels of these landraces<br />

in different ecological conditions.<br />

L. sativus, which is a drought tolerant legume, is a<br />

promising crop for the diversification of cropping systems<br />

and sustainability of agriculture in marginal and drought<br />

areas. Furthermore, under the risks of climate change<br />

which is supposed to cause serious drought, the plant will<br />

become a more important crop in the world. So, future<br />

studies should concentrate on developing new varieties<br />

with high yield, low β-ODAP and high protein level. The<br />

results of this showed that, L. sativus landraces cultivated<br />

in Turkey, are promising genetic materials especially with<br />

their low β-ODAP contents.<br />

ACKNOWLEDGEMENTS<br />

The authors’ thanks go to Prof. Dr. A. Nur ONAR and Dr.<br />

Meral KARACAN of OMU, Science and Art Faculty,<br />

Chemistry Department, for their help in the CZE analysis.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4081-4085, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2427<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Optimization of a plant regeneration protocol for<br />

broccoli<br />

Ke Huang 1,2,3*,# , Qiuyun Wu 1,2# , Juncheng Lin 3 and Jingui Zheng 3<br />

1 Hunan provincial key laboratory for germplasm innovation and utilization of crop, Changsha, 410128, P. R. China.<br />

2 College of Horticulture and Landscape, Hunan Agricultural University, Changsha, 410128, P. R. China.<br />

3 Institute of Agricultural Product Quality, Fujian Agricultural and Forestry University, Fuzhou, 350002, P. R. China.<br />

Accepted 18 March, 2011<br />

The factors which influence the regeneration of broccoli (Brassica oleracea var. italica) were studied<br />

using an orthogonal design. The results showed that the major factor was the explant type, followed by<br />

naphthylacetic acid (NAA), benzylaminopurine (BAP), sucrose and AgNO3 in turn. The maximum<br />

regeneration was on Murashige and Skoog (MS) medium + NAA 0.107 µM + BAP 17.76 µM + 2% sucrose<br />

+ 0.8% agar. Hypocotyl proved to be the optimum explant source and its regeneration frequency<br />

reached 100%.<br />

Key words: Naphthylacetic acid (NAA), benzylaminopurine (BAP), AgNO3, hypocotyl, broccoli (Brassica<br />

oleracea var. italica).<br />

INTRODUCTION<br />

Broccoli (Brassica oleracea L. var. italica Plenck), which<br />

originated from Italy and is related to the cabbage and<br />

cauliflower, is a very important vegetable crop. It is well<br />

known for its high vitamin, calcium and sulforaphane<br />

content (Zhang et al., 1992; Henzi et al., 2000). Plant<br />

diseases, insects and other stressors can cause enormous<br />

yield reductions during commercial broccoli<br />

cultivation (Yang et al., 2002; Cao and Earle, 2003;<br />

Viswakarma et al., 2004) but, under modern production<br />

systems, genetic engineering can be used to add target<br />

characteristics to broccoli cultivars. Transgenic B. oleracea<br />

plants have been obtained using several methods<br />

involving Agrobacterium-mediated transformation (Boulter<br />

et al., 1990; Toriyama et al., 1991; Berthomieu and<br />

Jouanin, 1992; Christey and Sinclair, 1992; Metz et al.,<br />

1995; Christey et al., 1997; Higgins et al., 2006; Jocelyn<br />

et al., 2007). The efficiency of such Agrobacterium-<br />

*Corresponding author. E-mail: huangke@yahoo.cn Tel.:86-<br />

731-84617028, Fax: 86-731-84617181.<br />

Abbreviations: MS, Murashige and Skoog; BAP,<br />

benzylaminopurine; NAA, naphthylacetic acid.<br />

#Both are Co-authors.<br />

mediated transformation is known to be affected by<br />

multiple factors such as the bacterial strain and<br />

concentration used, the plant genotype, explant type and<br />

co-cultural conditions (van Wordragen and Dons, 1992;<br />

Puddephat et al., 1996; Birch 1997; Cogan et al., 2002;<br />

Chakrabarty et al., 2002; Kim and Botellam, 2002; Nigel<br />

et al., 2002; Suri et al., 2005). Most authors have<br />

reported difficulties with one or more of the stages in the<br />

gene transfer and regeneration process which prevent<br />

any of their protocols from serving as the method of<br />

choice for B. oleracea transformation. Transformation<br />

efficiency can however, be increased by manipulating<br />

many factors, and the important factors are the explant<br />

and the plant growth regulator.<br />

There have been many reports on plant regeneration of<br />

Brassica crops, but they studied the factors that affect<br />

plant regeneration separately, such as explant type (Dai<br />

et al., 2009), plant regulator concentration (Dai et al.,<br />

2009; Ravanfar et al., 2009) and sucrose concentration.<br />

This study reports the optimization of a system for<br />

broccoli regeneration by orthogonal design. The<br />

improved regeneration was achieved by systematically<br />

optimizing the combination of factors that affect plant<br />

regeneration using an orthogonal design (Tang and<br />

Feng, 1997) in Catharanthus Roseus (Sun et al., 2002),<br />

white clover (Zhang et al., 1998) and so on. Together,


4082 Afr. J. Biotechnol.<br />

Table 1. Orthogonal design table.<br />

Medium<br />

no.<br />

Level code NAA (µM) BAP (µM) AgNO3 (mM) Sucrose (%) Explant<br />

1 0 0 0 1 Cotyledon<br />

2 0.054 8.88 0.02 2 Cotyledon plus petiole<br />

3 0.107 17.76 0.04 3 Petiole<br />

4 0.161 26.64 0.06 4 Hypocotyl<br />

Table 2. Broccoli regeneration frequency results*.<br />

NAA<br />

(µM)<br />

BAP<br />

(µM)<br />

AgNO3<br />

(mM)<br />

Sucrose<br />

(%)<br />

Explant<br />

Mean number of<br />

shoots per explant<br />

Regeneration<br />

frequency (%)<br />

1 1(0) 1(0) 1(0) 1(1) 1 (Cotyledon) 1.4±0.54 6±1.58 K<br />

2 1(0) 2(8.88) 2(0.02) 2(2) 2 (Cotyledon plus petiole) 2.0±0.71 22±3.53 F<br />

3 1(0) 3(17.76) 3(0.04) 3(3) 3 (Petiole) 1.6±0.54 9.33±1.78 IJ<br />

4 1(0) 4(26.64) 4(0.06) 4(4) 4 (Hypocotyl) 5.8±1.48 92.22±0.84 B<br />

5 2(0.054) 1(0) 2(0.02) 3(3) 4 (Hypocotyl) 3.6±0.89 72.89±2.28 D<br />

6 2(0.054) 2(8.88) 1(0) 4(4) 3 (Petiole) 2.0±1.22 13.78±1.10 H<br />

7 2(0.054) 3(17.76) 4(0.06) 1(1) 2 (Cotyledon plus petiole) 1.6±0.89 8.22±1.30 JK<br />

8 2(0.054) 4(26.64) 3(0.04) 2(2) 1 (Cotyledon) 0.0±0.00 0±0.00 L<br />

9 3(0.107) 1(0) 3(0.04) 4(4) 2 (Cotyledon plus petiole) 2.0±1.00 9.11±1.22 IJ<br />

10 3(0.107) 2(8.88) 4(0.06) 3(3) 1 (Cotyledon) 2.2±1.30 11.78±1.48 HI<br />

11 3(0.107) 3(17.76) 1(0) 2(2) 4 (Hypocotyl) 6.4±1.14 100±0.00 A<br />

12 3(0.107) 4(26.64) 2(0.02) 1(1) 3 (Petiole) 1.8±1.10 8.67±1.92 JK<br />

13 4(0.161) 1(0) 4(0.06) 2(2) 3 (Petiole) 2.4±0.89 16.89 ±2.59 G<br />

14 4(0.161) 2(8.88) 3(0.04) 1(1) 4 (Hypocotyl) 3.8±0.84 86.67±0.89 C<br />

15 4(0.161) 3(17.76) 2(0.02) 4(4) 1 (cotyledon) 2.4±1.14 8.89±1.64 IJK<br />

16 4(0.161) 4(26.64) 1(0) 3(3) 2 (Cotyledon plus petiole) 2.8±1.30 28.89±1.87 E<br />

*The regeneration frequency was recorded 21 d after inoculated, 450 explants were used for the experiment, A-F expresses differences at the<br />

level ofα=0.01 level.<br />

these modifications resulted in a notable improvement in<br />

the regeneration rate of the species.<br />

MATERIALS AND METHODS<br />

Broccoli (B. oleracea L. var. italica Plenck) cv Xinlv was provided by<br />

the Jiangsu Academy of Agricultural Sciences, Nanjing. Seeds,<br />

surface sterilized in 70% ethanol for 90 s, 0.1% HgCl2 for 12 min,<br />

were germinated at 25°C on solid MS medium (Murashige and<br />

Skoog, 1962) containing 2% sucrose (w/v) (pH 5.8). A 16 h<br />

photoperiod was used.<br />

Medium constituents and culture conditions<br />

All media used in this experiment were of MS type with 0.8% agar<br />

plus different concentrations of benzylaminopurine (BAP: 0, 8.88,<br />

17.76 and 26.64 µM) and naphthylacetic acid (NAA: 0, 0.054, 0.107<br />

and 0.161 µM). The medium with a pH adjusted to 5.8 was<br />

dispensed into 100 ml Erlenmeyer flasks before autoclaving at<br />

121°C and 1.2 ~ 1.3 kgcm -2 for 20 min, and silver nitrate (AgNO3: 0,<br />

0.02, 0.04 and 0.06 mM) was added after being filter sterilized. The<br />

medium was dispensed into 11 cm Petri dishes. The culture<br />

conditions were 25 ± 1°C and a 16 h photoperiod of approximately<br />

28 µEm -2 s -1 . The rooting medium was composed of MS + 0.107 µM<br />

NAA + 2% sucrose + 0.8% agar, at pH 5.8.<br />

Shoot and root induction<br />

Cotyledon, cotyledon with petiole attached, petiole and hypocotyl<br />

explants were isolated from 7 days old germinated seedlings and<br />

cultured on regeneration medium for adventitious bud induction<br />

(Table 1), the orthogonal combination scheme is provided in Table<br />

2. Five replications and 90 explants per replicate was used for each<br />

treatment, and data variance analysis by DPS was used (Tang et<br />

al., 1997).<br />

Explants were inoculated on differentiation regeneration media<br />

for adventitious bud induction. Adventitious buds were then cut and<br />

transplanted onto root induction media. The root induction medium<br />

composed of MS + NAA (0, 0.54 and 1.07 µM) + 3% sucrose +<br />

0.8% agar, and the regenerated plants were transplanted onto<br />

vermiculite medium after 2 weeks of root induction.<br />

RESULTS<br />

By examining the combination of factors that affected<br />

broccoli regeneration using an orthogonal design and by


Huang et al. 4083<br />

Figure 1. The regeneration of broccoli hypocotyle from cv ‘Xinlv’ (B. oleracea var. italica cv ‘Xinlv’). A: Calli formation (7 days); B:<br />

formation of the regenerated bud (21 days); C: further growth of a regenerated bud (42 days); D: root formation in the regenerant<br />

(56 days); E: The transplantation of a regenerated broccoli seedling (90 days); F: flower head formation (150 days).<br />

the use of data variance analysis by DPS (Tang et al.<br />

1997), it was apparent that the most suitable condition for<br />

Xinlv was: MS + NAA 0.107 µM + BAP 17.76 µM + 2%<br />

sucrose + 0.8% agar. Hypocotyls were the best explant<br />

source (Fexplants = 1161.897, F0.01 = 5.29) with a regeneration<br />

frequency of 100% (Table 2 and Figure 1).<br />

The effect of plant growth regulator on broccoli<br />

regeneration<br />

The plant growth regulator kind and concentration have<br />

major effect on the broccoli callus abduction and differentiation.<br />

The results indicated that the different NAA and<br />

BAP level have highly significant difference on broccoli<br />

regeneration (FNAA = 18.8723, FBAP = 8.3232, F0.01 = 5.29),<br />

and 0.107 µM NAA, 17.76 µM BAP is the best for the<br />

broccoli regeneration.<br />

The effect of silver nitrate on broccoli regeneration<br />

Broccoli regeneration is not sensentive on the silver<br />

nitrate, the broccoli adventitious bud regenerated better<br />

while there is no silver nitrate in the medium than the<br />

medium with silver nitrate. So for the broccoli regeneration<br />

medium, the silver nitrate should not be added.<br />

The effect of sucrose concentration on broccoli<br />

regeneration<br />

There is highly significant difference level of different<br />

sucrose concentration on broccoli regeneration (Fsucrose =<br />

6.45344, F0.01 = 5.29), and the 2% sucrose is the best<br />

concentration for broccoli regeneration.<br />

The effect of explant type on broccoli regeneration<br />

We selected the cotyledon plus petiole, hypocotyls,<br />

cotyledon and petiole as the adventitious bud induction<br />

explants. The different explant type has highly significant<br />

difference in the broccoli adventitious bud induction<br />

(Fexplant = 1081.924, F0.01 = 5.29).<br />

Regenerated buds were placed on rooting medium and<br />

that which proved optimum for rooting was MS + 1.07 µM<br />

NAA + 3% sucrose + 0.8% agar with a rooting success<br />

rate of 100%. All roots produced on this media were<br />

rosettes, whilst buds failed to develop on any other media.


4084 Afr. J. Biotechnol.<br />

DISCUSSION<br />

The establishment of a regeneration system is a major<br />

step in the development of transgenic technology for<br />

Brassica vegetables. This paper defined such a system<br />

for B. oleracea L. var. italica Plenck using selection based<br />

on the optimum explants type, plant growth regulators,<br />

sucrose and AgNO3 concentration which proved capable<br />

of achieving 100% regeneration from hypocotyl. The kind<br />

and concentration of plant growth regulators, sucrose<br />

concentration and the explant type all affected the<br />

regeneration of broccoli, while AgNO3 also had some<br />

influence on the successfof regeneration percentage. The<br />

experiment validates the conclusions reached using other<br />

broccoli varieties in which the regeneration frequency<br />

was also 100% and suggests that the regeneration system<br />

is applicable to a range of broccoli varieties (Figure<br />

1). The kind and concentration of plant growth regulators<br />

also have a strong effect on broccoli callus induction and<br />

differentiation (He et al., 1998; Zhang and Gong, 2001;<br />

Zhao et al, 2002; Ravanfar et al., 2009; Dai et al., 2009;<br />

Ravanfar et al., 2009). Significant effects of NAA and<br />

BAP levels on regeneration (FNAA = 23.2379, FBAP =<br />

10.0031, F0.01 = 5.29) indicate that both affect<br />

regeneration frequencies. Ravanfar et al., (2009)<br />

indicated that 96.67% of hypocotyl explant produced<br />

shoot on 3 mg·L - ¹ (13.32 µM) BAP, this study has<br />

presented 100% regeneration at 4 mg·L -1 (17.76 µM),<br />

because there is a combination relationship among the<br />

NAA, BAP, AgNO3 and the explants. We studied the<br />

factors systematically, and the results of regeneration<br />

frequency (100%) and mean number of shoots per<br />

explant (6.4) indicated that this is the best recipe for<br />

broccoli regeneration in this paper.<br />

The results indicated that the medium lacking AgNO3<br />

was optimum for broccoli regeneration (FAgNO3 = 22.1231,<br />

F0.01 = 5.29). It may therefore be appropriate to tailor the<br />

AgNO3 concentration in the medium according to the<br />

plant genotype (Chi et al, 1990). The sucrose<br />

concentration was found to significantly affect the degree<br />

of regeneration (Fsucrose = 8.1219, F0.01 = 5.29). Several<br />

reports have described variety-specific differences in in<br />

vitro organogeny or embryogenic development in<br />

response to contrasting sucrose concentrations (He et<br />

al., 1998; Kantia and Kothari, 2002; Tang et al., 2002).<br />

Sucrose concentration has an effect on adventitious bud<br />

induction and the amount of cluster buds. The<br />

differentiation ability and plant growth regulator level of<br />

explants depend upon the position and timing of excision,<br />

which also affect the regeneration frequency (Murata and<br />

orton, 1987). Hypo-cotyls, cotyledons, petioles and<br />

cotyledons in combi-nation with their petioles have been<br />

used as explants in this study. Some of these explants<br />

have a high regeneration frequency and are easily<br />

infected by Agro-bacterium, making them good transform<br />

explants. Cotyledons plus petioles are usually chosen as<br />

explants during Brassica regeneration because, when cut<br />

from a growth point, they have some primordial meriste-<br />

matic cells and possess higher regeneration frequencies<br />

(Birch, 1997; Kim and Botellam, 2002; Murata and Orton,<br />

1987; Puddephant et al., 1996). It was apparent that<br />

hypocotyls were the best explants for broccoli<br />

regeneration in this study as they exhibited higher<br />

differentiation ability and the plant growth regulator<br />

combination was suitable for bud induction. It has been<br />

proposed that polarity occurs during Brassica hypocotyl<br />

regeneration but, in agreement with Li and Chen (1993;<br />

1994), this was not observed in the present experiment<br />

using B. oleracea L. var. italica Plenck.<br />

Conclusions<br />

The best regeneration recipe for the broccoli is on medium<br />

MS + NAA 0.107 µM + BAP 17.76 µM + 2% sucrose<br />

+ 0.8% agar, and the best explant source is hypocotyl.<br />

Based on this menu, the regeneration frequency of<br />

broccoli reached 100%.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the Natural Sciences Foundation<br />

of China (30600415). We thank Birt Stevens for<br />

critically reviewing the manuscript.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4086-4092, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2455<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Evaluation of bread wheat genotypes for salinity<br />

tolerance under saline field conditions<br />

Munir Ahmad 1 , Muhammad Munir 1 , Iftikhar Ahmad 2 and Muhammad Yousuf 2<br />

1 Pir Mehar Ali Shah Arid Agriculture University Murree road 46300 Rawalpindi Pakistan.<br />

2 National Agricultural Research Center Park road 45500 Islamabad Pakistan.<br />

Accepted 25 March, 2011<br />

In two consecutive seasons (2007-08 and 2008-09), field experiments were conducted at Soil Salinity<br />

Research Institute, Pindi Bhattian and Biosaline Agricultural Research Station, Pakka Aana, Pakistan.<br />

During 2007-08, 103 wheat landrace genotypes were evaluated for salinity tolerance. During 2008-09, 47<br />

selected genotypes were evaluated at the same locations. Combined analysis of both locations during<br />

both years revealed that genotypes differed significantly for plant height, dry biomass m -2 , fertile tillers<br />

plan -1 , spike length, grain spike -1 , 1000 seed weight and yield m -2 . Grain yield had strong positive<br />

correlation with plant height, dry biomass, spike length, spikelets spike -1 , grain spike -1 and 1000 grain<br />

weight. Due to this positive correlation, yield can be used as a selection criterion under saline field<br />

conditions. Accessions 10807 (Pak), 11299 (Pak), 11917 (Iran) and cultivars Pavon (Pak) performed better<br />

during both years. These genotypes could be effectively used as new sources of salt tolerance.<br />

Key words: Genetic divergence, bread wheat, field evaluation, salinity tolerance.<br />

INTRODUCTION<br />

Salinity is a major abiotic stress limiting crop production<br />

in many agricultural regions of the world (Katerji et al.,<br />

2009). Over 800 million hectares of land are affected by<br />

salt worldwide (Munns, 2005). Some of the most serious<br />

examples of salinity occur in the arid and semiarid<br />

regions. In Pakistan, more than 10 million hectares are<br />

affected by salt (FAO, 2008). A low level of salinity may<br />

not reduce grain yield, although shoot biomass is reduced,<br />

which is reflected in a harvest index. Wheat yield<br />

is substantially reduced as the soil salinity level rises to<br />

100 mM NaCl (Munns et al., 2006).<br />

Screening large population for salinity tolerance in the<br />

field is difficult due to tremendous heterogeneity of saline<br />

soils (Richards, 1983). However, various statistical<br />

*Corresponding author. E-mail: zm_muneer@yahoo.com.<br />

Abbreviations: ECe, Electrical conductivity; SAR, sodium<br />

absorption ratio; SSRI, soil salinity research institute; BARS,<br />

Biosaline Agricultural Research Station; RSCw, residual sodium<br />

carbonate.<br />

techniques have been used to tackle similar problems,<br />

e.g. by blocking, particularly the use of small blocks<br />

(Bartlett, 1978). These have reduced error variations<br />

and increased detection of varietal differences, and can<br />

be adapted to cope with the high heterogeneity of saline<br />

fields. Most of the experiments are carried out under<br />

controlled conditions where plants are not exposed to<br />

those conditions that prevail in salt affected field<br />

conditions such as spatial and temporal heterogeneity of<br />

soil chemical and physical properties (Munns and James,<br />

2003). Therefore, salt tolerance of genotypes under field<br />

conditions needs to be evaluated particularly as a<br />

function of yield that is considered as a foremost target of<br />

the plant breeder (Yamaguchi and Blumwald, 2005).<br />

Kingsbury and Epstein (1984) evaluated 5000<br />

accessions of bread wheat in 50% seawater and identified<br />

29 accessions that produced seed. Jafari-Shabestari<br />

et al. (1995) evaluated 400 Iranian wheat genotypes in<br />

irrigated field conditions in California and identified<br />

numerous accessions that were consistently high for<br />

grain yield in both low and high salinity treatments.<br />

Ahmad et al. (2005) studied six wheat varieties in salt<br />

affected soils and reported that salt tolerant varieties


Table 1 Physico-chemical analysis of the soils sampled from site 1 (BARS) and site 2 (SSRI).<br />

Season 2007-2008 2008-2009<br />

Parameter Unit Site 1 Site 2 Site 1 Site 2<br />

pH – 8.1 8.3 8.2 8.4<br />

ECe dS m -1 16.9 13.4 17.8 14.6<br />

SAR – 1.72 14.32 5.49 16.45<br />

CaCO3 % 1.42 1.23 1.39 1.21<br />

OM % 0.70 0.30 0.69 0.29<br />

N % 0.03 0.04 0.03 0.02<br />

Extractable P mg kg -1 4.12 3.47 3.75 2.10<br />

Extractable K mg kg -1 33.5 54.6 35.4 55.5<br />

Sand % 42.7 12.5 - -<br />

Silt % 37.2 34.2 - -<br />

Clay % 20.1 53.3 - -<br />

Textural class – Sandy loam Clayey - -<br />

Table 2. Analysis of variance of 7 traits studied in 103 wheat genotypes at SSRI and BARS during 2007-08.<br />

Source of variation<br />

Plant height<br />

(cm)<br />

Total bio<br />

mass m -2 (g)<br />

Sum of squares (Percentage of total)<br />

Spike length<br />

(cm)<br />

Spikelets<br />

spike -1<br />

Grains<br />

spike -1<br />

Ahmad et al. 4087<br />

Yield m -2<br />

(g)<br />

1000 seed<br />

weight (g)<br />

Location 22.87** 33.56** 0.17 0.31 10.62* 38.55** 0.38<br />

Replication 0.34 0.21 2.95** 1.22* 1.79** 0.72* 0.73<br />

Block (loc* rep) 9.66** 5.07** 5.33** 5.00 4.61* 4.60** 3.38<br />

Genotypes 35.94** 23.70** 40.89** 33.10** 34.64** 17.88** 39.10**<br />

Loc*genotype 14.48** 17.86** 26.62** 26.38* 25.82** 19.30** 32.54**<br />

Error 16.71 19.60 24.04 33.99 22.52 18.95 23.87<br />

Total sum of squares 141624.11 7974152.40 841.77 2484.76 33713.58 806159.07 1950.14<br />

CV 14.62 53.91 12.52 15.17 22.82 51.62 13.38<br />

*Significant at 5% probability level; **Significant at 1% probability level.<br />

produced greater yield than salt susceptible due to higher<br />

dry weight of shoot and spike and better grain development.<br />

El-Hendawy et al. (2009) evaluated wheat genotypes<br />

and reported that grain weight plant -1 , number of grains<br />

plant -1 and number of fertile spikes plant -1 are good<br />

screening criteria under field conditions.<br />

The objectives of the present study were to evaluate<br />

the genetic diversity in 103 wheat landraces/cultivars for<br />

salinity tolerance under saline field conditions and to<br />

identify the parents for breeding salt tolerant cultivars.<br />

MATERIALS AND METHODS<br />

Seeds of 103 wheat landraces/cultivars (Table 2) including 4 check<br />

cultivars namely: SARC III, SARC IV, SARC V and SARC VII, were<br />

obtained from the gene bank of Plant Genetic Resources Program,<br />

National Agricultural Research Centre, Islamabad; Saline<br />

Agriculture Research Center (SARC), University of Agriculture,<br />

Faisalabad, and Ayyub Agricultural Research Institute, Faisalabad,<br />

Pakistan. The landraces/cultivars included 64 accessions from<br />

Pakistan, 20 from Iran, 7 from Syria, 4 from Egypt and 8 from Italy.<br />

The seeds were sown at Soil Salinity Research Institute (SSRI),<br />

Pindi Bhattian and Biosaline Agricultural Research Station (BARS),<br />

Pakka Aana (Pakistan) during the growing seasons 2007-08.<br />

Incomplete block design was followed with 2 replications keeping<br />

row to row distance of 30 cm and row length of 4 m. The<br />

experiment consisted of 12 small blocks. ECw (electrical conductivity<br />

of water) used for irrigation was 2.0 to 2.4 dSm -1 at SSRI and 3.4 to<br />

3.7 dSm -1 at BARS, while RSCw (residual sodium carbonate) was<br />

1.0 to 1.5 at SSRI and 2.0 to 2.5 meq L -1 at BARS. Soil analysis of<br />

both locations is given in the Table 1. Data were recorded from 10<br />

randomly selected plants from each replication for biomass m -2 ,<br />

plant height, spike length, number of spikelets spike -1 , number of<br />

grains spike -1 , 1000 gain weight and grain yield m -2 . During 2008-<br />

2009, 47 salt tolerant accessions selected from both locations<br />

during 2007-2008 on the basis of yield m -2 and germination and<br />

hydroponic testing at 200 mM NaCl stress (data not given) were<br />

sown at the both earlier mentioned locations following the same<br />

procedure of 2007-2008.<br />

The data were subjected to analysis of variance using the GLM<br />

procedure in SAS (SAS Institute, 2003). The means obtained were<br />

separated by standard error of differences of means. The<br />

correlation coefficients among all the traits were computed following<br />

Kown and Torrie (1964). All the traits showed strong positive cor-


4088 Afr. J. Biotechnol.<br />

Table 3. Salt tolerance categories of 103 wheat genotypes on the basis of average yield of 2 locations.<br />

Salt tolerant<br />

category<br />

Grain yield<br />

(g/m -2 )<br />

Number of<br />

accessions<br />

Accessions (country of collection)<br />

Tolerant 95 (g/m -2 ) and above 5 10795 (Pakistan), 10851 (Pakistan) 11299 (Pakistan), 10807 (Pakistan)<br />

and 11302 (Pakistan)<br />

Moderately<br />

tolerant<br />

Moderately<br />

susceptible<br />

67 - 95 (g/m -2 ) 27 Sakha-92 (Egypt), 11464 (Syria), Maroon (Iran), 13193 (Pakistan),<br />

Roushan (Iran), 11465 (Syria), 11462 (Syria), 11244 (Pakistan), 11186<br />

(Pakistan), 10798 (Pakistan), 10803 (Pakistan), 11386<br />

(Pakistan),11384 (Pakistan), 10862 (Pakistan), 11406 (Pakistan),<br />

11478 (USA), 10834 (Pakistan), Pavon (Pakistan), 10833<br />

(Pakistan),10800 (Pakistan), 11526 (Pakistan), 11193 (Pakistan),<br />

11387 (Pakistan), 11419 (Pakistan), 11272 (Pakistan), SARC-VII<br />

(Pakistan), 11248 (Pakistan)<br />

39 - 67(g/m -2 ) 47 12114 (Pakistan), 11195 (Pakistan), 10783 (Pakistan), Tabasi (Iran),<br />

12119 (Pakistan), Arvand (Iran), ADL (Iran), 10853 (Pakistan), 10849<br />

(Pakistan), SARC IV (Pakistan), 11467 (Syria), 11418 (Pakistan), Giza-<br />

163 (Egypt), Karaj-II (Iran), 11133 (Pakistan), 11414 (Pakistan), 11415<br />

(Pakistan), 11374 (Italy), 12118 (Iran), 11171 (Pakistan), 11457 (Syria),<br />

13184 (Pakistan), Falat (Iran), 10854 (Pakistan), Moghan-1 (Iran),<br />

10809 (Pakistan), 12117 (Pakistan), 11240 (Pakistan), Khazar-1 (Iran),<br />

10777 (Pakistan), 11454 (Syria), 10784 (Pakistan), Chenab (Iran),<br />

11399 (Pakistan), 11407 (Pakistan), Kayeh (Iran), Sardari (Iran), Chods<br />

(Iran), 11458 (Syria), 4098785 (Pakistan), 11409 (Pakistan), 10824<br />

(Pakistan), 11416 (Pakistan), 11373 (Italy), SARC III (Pakistan),<br />

4098795 (Pakistan), 11388 (Pakistan)<br />

Susceptible 39 (g/m -2 ) and below 24 India (Iran), 11378 (Pakistan), 10812 (Pakistan), Karaj-1 (Iran), Darab<br />

(Iran), Omid (Iran), 10788 (Pakistan), 4098815 (Pakistan), Giza-155<br />

(Egypt), 12113 (Pakistan), 11371 (Italy), 11371 (Italy), 10811<br />

(Pakistan), SARC-V (Pakistan), 11372 (Italy), Rasool (Iran), Hirmand<br />

(Iran), Alborz (Iran), 11370 (Italy), 11901 (Italy), 11290 (Pakistan),<br />

11405 (Pakistan), 11792 (Pakistan), 11369 (Italy)<br />

relation with yield m -2 during 2007-2008, therefore, average yield of<br />

both locations was used to classify the genotypes into four groups.<br />

Difference between the range of average yield was divided into four<br />

equal groups (Table 3), namely, salt tolerant, moderately salt<br />

tolerant, moderately salt susceptible and salt susceptible.<br />

RESULTS<br />

Soil analysis of two salt affected soils revealed marked<br />

differences in ECe (electrical conductivity), SAR (sodium<br />

absorption ratio) and soil texture (Table 1). Performance<br />

of wheat genotypes under field conditions is the combined<br />

effect of genotype, environment and genotype ×<br />

environment interaction. Combined analysis of both<br />

locations during 2007-08 and 2008-09 (Tables 2 and 4)<br />

revealed that genotypes differed significantly (P < 0.01)<br />

for all the traits studied. During 2007-08, location effect<br />

was significant (P < 0.05) for plant height, total biomass,<br />

grain spike -1 and yield m -2 . During 2008-09, differences<br />

due to location were significant (P < 0.05) for all the<br />

seven traits studied. This may be due to differences in<br />

ECe and SAR of the two locations (Table 1). Block<br />

(location × replication) effect was significant (P < 0.01),<br />

except spikelets spike -1 and 1000 seed weight during<br />

2007-08, however, during 2008-09, it was significant only<br />

for plant height (P < 0.05). The possible reason for non<br />

significance may the small size of blocks. Location ×<br />

genotype effect was significant (P < 0.01) during the both<br />

years for all the traits, except, spikelets spike -1 where it<br />

was significant at P < 0.05 during 2007-08.<br />

Based on average yield of two locations, 103 wheat<br />

genotypes were classified into four groups (Table 3),<br />

namely: salt tolerant included five genotypes, all from<br />

Pakistan; moderately salt tolerant included 27 genotypes,<br />

mostly from Pakistan, Egypt, Syria and Iran; moderately<br />

salt susceptible included 47 genotypes; and salt susceptible<br />

included 24 genotypes. Most of the susceptible<br />

accessions were from Pakistan, Iran and Egypt.<br />

During 2007-08, moisture stress coupled with high<br />

salinity rise just after sowing created high ideal saline<br />

conditions for crop evaluation. This inhibited the germination<br />

and plant growth at early stage at SSRI. Due to<br />

which most of the accessions at BARS performed better<br />

as compared to SSRI. During 2008-09, a considerable


Table 4. Analysis of variance of 7 traits studied in 47 wheat genotypes at Pindi Bhattian and Pakka Aana during 2008-09.<br />

Trait studied<br />

Plant<br />

height<br />

(cm)<br />

Tiller m -2<br />

Sum of squares (Percentage of total)<br />

Spike length<br />

(cm)<br />

Spikelet<br />

s spike -1<br />

Grains<br />

spike -1<br />

Yield m -2<br />

(g)<br />

Ahmad et al. 4089<br />

1000 seed<br />

weight (g)<br />

Location 58.25** 59.89** 11.46* 28.25** 19.23** 49.26** 21.53**<br />

Replication 0.29 0.08 0.41 0.05 0.01 0.03 0.10<br />

Block (loc × rep) 0.53 2.20* 2.56 1.58 0.34 2.08 1.34<br />

Genotypes 24.36** 20.40** 45.85** 31.60** 60.89** 28.52** 51.09**<br />

Loc × genotype 10.80** 10.10** 25.72** 19.41** 14.74** 13.23** 16.50**<br />

Error 5.77 7.33 14.00 19.11 4.78 6.88 9.43<br />

Total sum of squares 49321.63 2218209.40 256.70 1048.07 12989.14 3294445.11 1050.27<br />

CV 8.53 27.28 9.14 12.29 12.08 39.23 11.74<br />

*Significant at 5% probability level; **Significant at 1% probability level.<br />

Table 5. Correlation coefficient between various traits and yield in wheat genotypes at Pindi Bhattian<br />

(PB) and Pakka Aana (PA) during 2007-08 and 2008-09.<br />

Plant height (cm)<br />

Trait studied Yield (g m -2 ) 2007-08 Yield (g m -2 ) 2008-09<br />

Biomass (g m -2 ) (2007-8)<br />

Fertile tillers plant -1 (2008-09)<br />

Spike length (cm<br />

Spikelets spike -1<br />

Grains spike -1<br />

1000 seed weight (g)<br />

**Significant at 1% probability level.<br />

reduction was manifested in plant height, fertile tillers<br />

plant-1, spike length, spikelets spike-1, grains spike-1,<br />

1000 grain weight and yield m-2 (Table 6). Five accessions<br />

produced above 100 cm tall plants at SSRI but >77<br />

cm at BARS. This showed a significant reduction in plant<br />

height at BARS as compared to SSRI (Table 6).<br />

Total dry biomass production at SSRI was less as<br />

compared to BARS during 2007-08. Accessions 10795,<br />

10807, 10851 and 11299 produced highest total biomass<br />

at both locations. The total biomass production ranged<br />

from 47.6 to 672.2 gm-2 at BARS. It revealed a huge<br />

PB 0.82** PB 0.91**<br />

PA 0.94** PA 0.77**<br />

PB 0.93** -<br />

PA 0.96** -<br />

- PB 0.94**<br />

- PA 0.95**<br />

PB 0.80** PB 0.90**<br />

PA 0.92** PA 0.74**<br />

PB 0.80** PB 0.90**<br />

PA 0.92** PA 0.74**<br />

PB 0.80** PB 0.95**<br />

PA 0.93** PA 0.73**<br />

PB 0.81** PB 0.94**<br />

PA 0.92** PA 0.76**<br />

reduction in biomass in salt susceptible accessions as<br />

compare to salt tolerant. During 2008-09, fertile tillers m-2<br />

showed a considerable reduction at both locations. It<br />

ranged from 125.4 to 409.2 at SSRI and 8 to 259 at<br />

BARS. Accessions 10824, 11287, 11214, 11383 and<br />

Local white were able to maintain maximum number of<br />

fertile tillers at both locations (Table 6). Fertile tillers m-2<br />

had a positive and highly significant correlation with grain<br />

yield m-2 during 2008-09 at both locations (Table 5).<br />

Information on the relationship between yield and its<br />

components and among the components themselves can


4090 Afr. J. Biotechnol.<br />

Table 6. Means of 7 traits studied in 47 wheat genotypes at Pindi Bhattian and Pakka Aana during 2008-09.<br />

Accession<br />

no.<br />

Plant height Fertile Tiller Plant -1 Spike length Spikelets spike -1 Grains spike -1 1000 grain weight Yield m -2<br />

PB PA PB PA PB PA PB PA PB PA PB PA PB PA<br />

Pavon 83.50 58.50 237.60 91.06 9.4 8.00 17.3 12.67 41.8 30.67 40.0 35.20 397.29 90.55<br />

10783 87.00 72.00 232.65 49.24 7.8 8.78 15.0 15.88 29.2 7.78 38.0 32.80 213.89 17.04<br />

10793 88.00 61.00 293.70 18.48 9.4 9.52 16.8 14.67 24.3 21.93 46.0 27.75 68.39 4.20<br />

10800 79.00 53.50 196.35 40.78 9.0 5.42 17.0 9.33 35.5 18.00 38.9 36.40 269.40 6.49<br />

10806 92.50 49.50 325.05 112.50 8.3 7.30 16.0 12.65 23.2 33.83 35.4 27.50 381.13 92.55<br />

10807 83.00 63.50 323.40 61.00 9.8 7.50 15.2 10.50 19.0 21.00 16.5 25.35 105.57 84.25<br />

10812 74.50 49.50 249.15 101.50 8.2 6.83 16.0 10.83 42.7 27.83 38.0 33.60 348.15 22.45<br />

10821 82.00 63.00 140.25 11.22 7.2 9.50 15.0 14.17 11.2 8.00 19.3 25.40 40.66 19.10<br />

10824 99.00 77.00 211.20 102.30 7.4 6.92 14.7 11.50 24.7 21.17 39.0 38.70 211.10 56.00<br />

10828 80.50 56.00 151.80 25.00 7.5 4.83 12.3 7.17 8.3 7.50 30.6 24.40 51.76 45.20<br />

10831 55.50 69.00 125.40 59.00 6.8 7.25 13.8 12.17 23.0 16.55 27.7 24.60 101.15 21.72<br />

11186 99.00 60.50 265.65 29.00 6.4 7.20 10.7 13.50 23.2 24.33 28.0 30.20 296.42 24.94<br />

11214 104.00 67.50 285.45 56.50 7.8 7.25 14.2 14.00 30.7 23.83 32.9 27.80 156.09 18.45<br />

11287 100.50 70.50 364.65 60.50 7.0 7.17 13.8 12.50 25.8 23.33 37.0 25.15 355.59 36.00<br />

11299 106.00 58.50 402.60 259.38 8.5 6.83 15.8 12.50 34.0 17.83 32.1 34.95 385.09 111.24<br />

11383 104.50 66.00 321.75 133.56 9.3 8.62 15.2 11.67 26.3 17.85 31.8 24.75 311.75 67.25<br />

11385 95.00 63.00 199.65 42.44 7.6 7.02 13.7 12.00 28.8 25.00 42.0 26.50 182.18 23.17<br />

11401 94.50 62.00 311.85 57.00 7.4 8.25 15.2 12.83 22.0 21.00 38.7 31.80 391.07 29.70<br />

11409 101.50 59.00 306.90 56.00 7.3 7.75 12.8 12.33 29.5 15.00 34.9 25.25 284.46 24.90<br />

11417 94.50 55.50 379.50 40.62 6.7 7.17 12.3 11.92 22.7 14.83 38.5 21.65 253.54 8.77<br />

11453 79.00 26.50 235.95 24.70 8.2 5.42 15.3 7.50 34.3 17.83 43.3 23.70 264.66 5.24<br />

11454 80.50 57.50 409.20 38.96 7.0 6.92 14.5 12.83 31.8 23.33 36.2 22.65 279.23 6.54<br />

11460 82.50 49.50 211.20 7.62 7.4 5.25 13.0 8.67 22.0 11.33 32.6 18.50 152.28 1.37<br />

11466 94.50 58.50 267.30 37.62 7.3 8.08 15.7 13.00 33.2 19.60 36.0 29.15 205.92 16.12<br />

11478 94.50 53.00 293.70 45.42 6.7 6.25 12.0 9.83 24.5 16.50 37.2 20.70 265.37 9.50<br />

11526 79.50 52.50 292.05 94.00 8.2 6.58 15.3 12.50 34.8 19.33 42.5 28.15 342.54 55.50<br />

11545 81.00 57.50 297.00 117.22 7.3 6.33 12.8 10.83 27.2 19.67 46.2 26.75 385.39 80.02<br />

Sakha 92 72.50 55.00 237.60 168.46 9.5 6.00 18.2 12.00 29.5 24.33 35.0 25.85 242.67 62.17<br />

Karaj II 83.50 57.00 232.65 104.46 7.3 6.85 14.7 12.17 26.0 19.32 29.9 25.75 119.79 34.69<br />

Chenab 80.50 66.50 184.80 49.50 8.6 8.62 14.2 14.67 34.7 26.65 42.3 24.85 217.65 29.10<br />

Maroon 76.50 46.50 343.20 39.78 7.8 5.78 15.0 11.67 31.0 14.92 44.3 32.50 313.14 11.50<br />

Roushan 110.00 61.00 364.65 131.00 8.9 8.32 15.8 13.17 30.8 15.67 39.3 34.75 417.68 62.29<br />

Bayat 71.50 58.50 272.25 29.82 8.0 6.08 16.5 9.67 37.2 17.17 35.3 26.00 260.21 11.23<br />

Omid 79.50 66.00 132.00 16.74 8.1 8.58 14.2 11.50 21.5 14.75 38.8 31.00 26.07 7.35<br />

4098775 89.00 55.00 204.60 50.82 8.6 7.58 15.7 11.83 45.0 22.98 37.1 31.30 391.46 26.00


Table 6. Contd.<br />

4098805 86.50 49.50 313.50 31.16 9.9 8.83 15.8 15.50 39.2 42.50 41.0 28.30 458.40 15.60<br />

Local white 105.50 67.50 260.70 168.30 8.9 7.50 17.5 11.67 30.2 26.67 43.5 30.75 393.57 122.69<br />

Pasban 90 68.00 46.50 255.75 58.36 9.2 7.62 14.3 12.43 33.7 34.97 35.5 27.40 281.16 33.68<br />

SARC IV 68.50 37.00 211.20 151.72 8.8 5.75 14.7 8.67 39.3 20.00 36.2 26.50 255.42 95.00<br />

SARC VII 69.50 59.50 254.10 154.10 8.3 7.3 15.5 15.5 29.5 22.5 37.9 32.50 240.97 90.97<br />

Shorawaki 81.50 70.40 166.65 160.65 9.8 8.1 20.2 16.5 12.7 19.7 16.7 22.40 24.96 86.75<br />

SEdiff x 1.74 1.52 10.31 8.27 0.15 0.19 0.26 0.32 1.24 0.16 1.19 0.72 18.04 5.12<br />

x Standard error of the difference between means; no., number.<br />

be utilized to improve the efficiency of selection in<br />

plant breeding programs. Spike length is an<br />

important yield contributing trait which showed<br />

reduction under saline field conditions. During<br />

2007-08, spike length ranged from 4.85 to<br />

13.97 cm at SSRI and from 6.1 to 11.1 cm<br />

at BARS. During 2008-09, spike length ranged<br />

from 6.4 to 11.3 cm at SSRI and 4.8 to<br />

9.5 cm at BARS (Table 6).<br />

Grains spike -1 also showed reduction at high<br />

salinity level. At SSRI, grains spike -1 ranged from<br />

4.8 to 48.17 during 2007-08, while at<br />

BARS, it was from 16.5 to 46. During 2008-<br />

09, grains spike -1 ranged from 8.3 to 45 at<br />

SSRI, while at BARS, it was from 7.5 to<br />

42.5. Reduction in grain spike-1 also causes<br />

reduction in yield at high salt stress. This<br />

reduc-tion is due to positive association<br />

between grain spike -1 and yield. Most of the<br />

accessions showed reduction in 1000 seed weight<br />

at BARS during both years. The foremost target of<br />

wheat breeder is to improve grain yield. Therefore,<br />

the assessment of final grain yield and<br />

growth parameters determining grain yield is a<br />

significant aspect of breeding programs. Five<br />

accessions: 10795, 10851, 11299, 10807 and<br />

11302 (all from Pakistan) were identified as most<br />

salt tolerant on the basis of average yield performance<br />

at two locations (Table 2). Three of them:<br />

10807, 10851 and 11299 were included in the<br />

second phase of the experiment (2008-09).<br />

Accession 10807 produced 128.71 and 91.0 gm -2<br />

yield during 2007-08 and 105.6 and 84.3 gm -2<br />

during 2008-09 at SSRI and BARS, respectively.<br />

Accession 11299 produced 93.55 and 127.8 gm -2<br />

yield during 2007-08, and 385.1 and 111.2 gm -2<br />

during 2008-09 at SSRI and BARS, respectively.<br />

DISCUSSION<br />

Our results revealed that wheat genotypes responded<br />

differently to salinity stress at the two<br />

locations in terms of yield and yield components.<br />

Similar findings were reported by (Richards et al.,<br />

1987; Slavich et al., 1990). The decline in total dry<br />

biomass in the sensitive accessions was most<br />

likely due to the extra energy utilization for<br />

osmotic accumulation (Wyn Jones and Gorham,<br />

1993). Significant positive correlation between dry<br />

biomass and yield m-2 (Table 5) indicated that<br />

total dry biomass along with yield can be good<br />

selection criteria under salinity stress.<br />

Salts present in the soil solution reduce the<br />

ability of plant to absorb water which slow down<br />

plant growth and ultimately cause reduction in<br />

yield components. This is called osmotic or water<br />

deficit effect of salinity. Salinity stress at different<br />

Ahmad et al. 4091<br />

phenological stages inhibits photosynthetic activities<br />

of the plant because it had a direct inhibitory<br />

effect on the Calvin cycle enzymes (Ottander and<br />

Oquist, 991). Tiller plant -1 is the most salinity<br />

sensitive trait in wheat (El-Hendawy et al., 2005).<br />

Therefore, to increase the yield under<br />

stress condition, it is necessary to maintain<br />

high plant density. Tiller formation included<br />

tiller number and tiller biomass. Salinity reduces<br />

tiller number by delaying and reducing tiller emergence<br />

at the vegetative stage. After tiller emergence,<br />

growth of tillers at all stages is inhibited by<br />

salinity due to its damage on the essential<br />

metabolic reaction in plants, resulting in low tiller<br />

biomass and small tiller size (Mass and Poss,<br />

1989). ECe >7.5 dSm -1<br />

in soil water could eradicate<br />

most of the secondary tillers and greatly<br />

reduce the formation of tertiary and lateral tillers.<br />

The yield potential of wheat is greatly dependent<br />

on the number of tillers plant -1 that is affected in<br />

the early life cycle. Number of tillers regulates<br />

grain yield by its prime influence on the number of<br />

spikes in wheat (Simons and Hunt, 1983). Our<br />

correlation results confirmed these findings.<br />

Spikelets spike -1 along with number of<br />

tillers was identified as the most salt sensitive<br />

yield components in wheat. At the time of spike<br />

emergence, salinity suppresses the reproductive<br />

development, spikelet initiation and ultimately


4092 Afr. J. Biotechnol.<br />

number of spikelets (Mans and Rawson, 2004). Due to<br />

their response to salinity and significant positive<br />

correlation with yield, these two traits could be used as<br />

selection criteria. These traits could be determined at<br />

early growth stages and therefore, may be used to<br />

screen large population. Reduction in grains spike -1 was<br />

due to reduction in spikelets spike -1 as revealed by<br />

positive correlation between them. The 1000 grain weight<br />

was less affected as compare to the other yield<br />

components because it was determined at maturity which<br />

is the least salt sensitive stage in wheat (Frank et al.,<br />

1997).<br />

Grain yield had strong positive correlation with plant<br />

height, dry biomass, spike length, spikelets spike -1 , grain<br />

spike -1 and 1000 grain weight (Table 5). Due to this positive<br />

correlation, yield can be used as a selection criterion<br />

under saline field conditions. Many scientists had classified<br />

crop species on the basis of grain yield under stress<br />

conditions (Sadiq et al., 1994; Jafari-Shabestari et al.,<br />

1995; Anderson et al., 1996). Reduction in yield was due<br />

to the reduction in the yield components and high ECe at<br />

BARS was the main cause of reduction in yield and yield<br />

components. Wheat yield decline 10% when ECe value<br />

goes >10 dSm -1 (Katerji et al., 2009).<br />

Sum of square due to genotype for tillers m -2 , total<br />

biomass m -2 , spikelets spike -1 and yield m -2 revealed<br />

that these traits were adversely affected at both locations.<br />

Our results showed that these traits could be effectively<br />

used as selection criteria for screening wheat under field<br />

conditions. Accessions 10807, 11299, 11917 and cultivars<br />

Pavon performed better during both years. Cultivar Local<br />

white produced better yield at both locations during 2008-<br />

09 but check cultivar Pasban 90 performed better at SSRI<br />

as compare to BARS. The high yield of these genotypes<br />

was actually associated with high total biomass production<br />

and yield components. Accession 11299 (Pak) was found<br />

to be most salt tolerant at germination stage and seedling<br />

stage in hydroponics under 300 and 250 mM NaCl stress,<br />

respectively. Cultivar Pasban 90 and accession 10807<br />

were also found to be salt tolerant at seedling stage in<br />

hydroponics at 250 mM NaCl stress (data not shown).<br />

These genotypes could be used as new sources of salt<br />

tolerance.<br />

REFERENCES<br />

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agronomic performance of six wheat varieties grown under saline<br />

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Bartlett MS (1978). Nearest neighbor models in the analysis of field<br />

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U (2005). Evaluating salt tolerance of wheat genotypes using<br />

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Katerji N, Mastrorilli M, Van Horn JW, Lahmer FZ, Hamdy A, Oweis T<br />

(2009). Durum wheat and barley productivity in saline -drought<br />

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barley. Aust. J. Plant Physiol. 26(5): 459-464.<br />

Mass EV, Poss JA (1989). Salt sensitivity of cowpea at various growth<br />

stages. Irrig. Sci. 10: 313-320.<br />

Munns R (2005). Genes and salt tolerance: bringing them together.<br />

New Phytol. 167: 645-663.<br />

Munns R, James RA (2003) Screening methods for salinity tolerance: a<br />

case study with tetraploid wheat. Plant Soil, 59: 1-18.<br />

Munns R, Richard AJ, Lauchli A (2006). Approaches to increasing the<br />

salt tolerance of wheat and other cereals. J. Exp. Bot. 57(5): 1025-<br />

1043.<br />

Ottander C, Oquist G (1991). Recovery of photosynthesis in winter<br />

stressed Scot pine. In Current Research in Photosynthesis. Plant<br />

Cell Environ. 14: 345-349.<br />

Richards RA, Dennett CW, Qualset CO, Epstein E, Norlyn JD,<br />

Winslow MD (1987). Variation in yield of grain and biomass in wheat,<br />

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287.<br />

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germplasm to field variation in salinity quantified using the Em-38.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4093-4099, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1248<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Antioxidant enzymes activities during secondary<br />

somatic embryogenesis in Persian walnut (Juglans<br />

regia L.)<br />

M. Jariteh 1 *, H. Ebrahimzadeh 1 , V. Niknam 1 , K. Vahdati 2 and R. Amiri 3<br />

1 Plant Physiology Laboratory, Department of Plant Sciences, School of Biology, College of Science, University of<br />

Tehran, P.O.BOX: 14155-6455, Tehran, Iran.<br />

2 Department of Horticulture, College of Abouraihan, University of Tehran, Tehran, Iran.<br />

3 Department of Agronomy and Crop Breeding, College of Abouraihan, University of Tehran, Tehran, Iran.<br />

Accepted 18 March, 2011<br />

Somatic embryogenesis was achieved from immature cotyledon explants of Persian walnut (Juglans<br />

regia L.) cave. "Chandler" on DKW medium. Secondary somatic embryogenesis, the process by which<br />

adventitious embryos are formed from primary somatic embryos, is frequent during somatic<br />

embryogenesis in Persian walnut. It has certain advantages compared with primary somatic<br />

embryogenesis such as high multiplication rate, independence to the explant source and repeatability.<br />

Proteins and activities of antioxidant enzymes including catalase (CAT), peroxidase (POX), superoxide<br />

dismutase (SOD) and polyphenol oxidase (PPO) were evaluated in two types of secondary embryogenic<br />

calli and secondary somatic embryos in Persian walnut. In dark brown calli from which their secondary<br />

somatic embryos were separated, CAT, POX and POX had the highest activities while the activity of<br />

SOD and also protein content showed the lowest level. High SOD activity, protein content and low<br />

activities of CAT, POX and PPO were determined in secondary somatic embryos and light brown calli<br />

containing secondary somatic embryos. According to the obtained results, some proteins and<br />

antioxidant enzymes have been regarded as markers for secondary somatic embryogenesis.<br />

Key words: Persian walnut, secondary somatic embryogenesis, antioxidant enzymes.<br />

INTRODUCTION<br />

Somatic embryogenesis and particularly the secondary<br />

somatic embryogenesis provide an efficient regeneration<br />

system for vegetative propagation and genetic transformation<br />

of walnut (Mc Granahan et al., 1990). Secondary<br />

somatic embryogenesis has been reported in many tree<br />

species and is the basis of embryo cloning (Merkle et al.,<br />

1995; Daigny et al., 1996; Benelli et al., 2001; Agarwal et<br />

al., 2004). Secondary or repetitive somatic embryogenesis,<br />

the process by which adventitious embryos are<br />

*Corresponding author. E-mail: maryam.jariteh@gmail.com.<br />

Fax: (+98) 21 66492992.<br />

Abbreviations: CAT, Catalase; POX, peroxidase; PPO,<br />

polyphenoloxidase; SOD, superoxide dismutase; DBC, dark<br />

brown callus; LBC, light brown callus; SSE, secondary somatic<br />

embryo; DKW, Driver and Kuniyuki Walnut medium.<br />

derived from primary somatic embryos, is frequent during<br />

somatic embryogenesis in walnut. Secondary embryos<br />

are formed on the cotyledons and most frequently at the<br />

root tips of somatic embryos. If these adventitious<br />

embryos removed when their cotyledons began to<br />

expand, they often develop into normal plants. Failure to<br />

remove adventitious embryos at this stage of development<br />

led to the formation of more somatic embryos,<br />

abnormal growth or callus formation. Somatic embryo<br />

tissues often turn into dark brown masses after several<br />

months in culture. These brown tissues frequently<br />

produce globular somatic embryos which could be<br />

removed and used to propagate the embryogenic lines<br />

(Tulecke and Mc Granahan, 1985). Martinelli and<br />

Gribaudo, (2001) called the secondary embryogenesis as<br />

re-initiation of embryogenic calli from somatic embryos.<br />

The secondary somatic embryos of walnut can be<br />

efficiently multiplied by repetitive or recurrent embryo-


4094 Afr. J. Biotechnol.<br />

genesis on hormone-free DKW medium (Deng and<br />

Cornu, 1992).<br />

As an experimental system, secondary somatic embryogenesis<br />

has certain advantages compared with<br />

primary somatic embryogenesis such as high multiplication<br />

rate, independence to the explant source and<br />

repeatability (Karami et al., 2008). Furthermore,<br />

embryogenicity can be maintained for a long period of<br />

time by repeated cycles of secondary embryogenesis<br />

(Raemakers et al., 1995). On the other hand, it is thought<br />

that adventitious embryogenesis including somatic and<br />

anderogenetic ones might be induced by different kinds<br />

of stress treatments (Kamada et al., 1994). There is a<br />

variety of data that link somatic embryogenesis, DNA<br />

methylation and oxidative stress response. Also, an<br />

increasing number of publications link reactive oxygen<br />

species (ROS) and somatic embryogenesis (Zavattieri et<br />

al., 2010).<br />

Some antioxidant enzymes have been introduced as<br />

indicators for somatic embryogenesis. According to<br />

Kairong et al. (1999) the differentiation and development<br />

of embryogenic cells in the somatic embryogenesis of<br />

Lycium barbarum L. are regulated by three antioxidant<br />

enzymes including CAT, POX and SOD. Somatic<br />

embryogenesis from somatic tissues of walnut, rather<br />

than zygotic embryos needs to be further investigated<br />

(Vahdati et al., 2006). Thus, study of antioxidant enzymes<br />

activities during secondary somatic embryogenesis can<br />

help to improve primary somatic embryogenesis and<br />

reduce problems in recalcitrant explants. For this purpose,<br />

two different types of secondary embryogenic calli,<br />

light and dark brown calli containing secondary somatic<br />

embryos at different stages of development and<br />

separated secondary somatic embryos were compared.<br />

Proteins and activities of some antioxidant enzymes<br />

including CAT, POX, SOD and PPO were studied during<br />

secondary somatic embryogenesis in Persian walnut<br />

(Juglans regia L.) cv. "Chandler".<br />

MATERIALS AND METHODS<br />

Plant material<br />

Ten fruits of walnut cultivar "Chandler" were harvested 9 weeks<br />

after pollination and stored at 4°C for 5 days. They were surface<br />

sterilized and dissected immediately. Immature cotyledons were<br />

cultured on DKW solid medium (Driver and Kuniyuki, 1984)<br />

containing 0.01 mg/l IBA, 2 mg/l Kin, 1 mg/l BA and 250 mg/l<br />

glutamine (Tulecke and Mc Granahan, 1985). Cultures were grown<br />

in the dark at room temperature.<br />

The repetitive somatic embryogenic line which initiated from<br />

immature cotyledons of walnut cultivar "Chandler" was used in the<br />

present study. This line has been maintained by subculturing every<br />

two weeks at 25°C in the dark for over 2 years. Somatic embryos<br />

were subcultured on basal DKW medium solidified with 0.21%<br />

Gelrite (w/v). Dark brown calli with secondary somatic embryos at<br />

different developmental stages on their surfaces (DBC+SSE), dark<br />

brown calli without secondary somatic embryo (DBC-SSE),<br />

secondary somatic embryos at different developmental stages<br />

which were separated from the surface of dark brown calli (SSE)<br />

and light brown calli with secondary somatic embryos at different<br />

developmental stages (LBC+SSE) were used for all the analyses.<br />

Protein extraction<br />

For estimation of total protein content and enzymes activity, plant<br />

materials were homogenized at 4°C with a mortar in 1M Tris-HCl<br />

(pH 6.8) and 2.5 % (w/v) polyvinylpolypyrolidone (PVPP) to avoid<br />

phenol oxidative effects. The homogenates were centrifuged at<br />

13000 g for 30 min two times at 4°C using a Heraeus 400R<br />

microfuge. Supernatants were kept at -70°C and used for protein<br />

determination and enzyme assay. An UV-visible spectrophotometer<br />

(UV-160, Shimadzu, Tokyo, Japan) were used for the determination<br />

of the absorbance.<br />

Protein quantification<br />

Protein concentration was measured according to Bradford (1976),<br />

using bovine serum albumin (BSA) as standard. Five milliliters of<br />

the Bradford reagent and 100 µl of the each protein extract were<br />

mixed and then, reaction mixtures were incubated at room<br />

temperature for 20 min. The absorbance values were measured at<br />

595 nm.<br />

Antioxidant enzymes assays<br />

Peroxidase (POX; E.C. 1.11.1.7) activity was measured according<br />

to the method of Abeles and Biles (1991). The assay mixture<br />

consisted of 4 ml of 0.2 M acetate buffer (pH 4.8), 0.4 ml H2O2 (3<br />

%), 0.2 ml 20 mM benzidine and 0.2 ml enzyme extract. The<br />

increase of absorbance was recorded at 530 nm. The POX activity<br />

was defined as 1 µM of benzidine oxidated per min per mg protein<br />

(Unit mg -1 (protein)).<br />

Superoxide dismutase (SOD; E.C. 1.15.1.1) activity was<br />

estimated by measuring its ability to inhibit the photochemical<br />

reduction of nitroblue tetrazolium (NBT) at 560 nm as described by<br />

Giannopolitis and Ries (1977) in a reaction mixture consisted of 0.1<br />

ml enzyme extract, 50 mM sodium phosphate buffer (pH 7.5), 13<br />

mM L-methionine, 75 µM NBT, 0.1 mM EDTA and 75 µM riboflavin.<br />

The reaction mixture was irradiated for 14 min and absorbance was<br />

recorded at 560 nm against the non-irradiated blank. One unit of<br />

SOD activity was defined as the amount of enzyme which caused<br />

50% inhibition in NBT reduction.<br />

Catalase (CAT; E.C. 1.11.1.6) activity was assayed from the rate<br />

of H2O2 decomposition as measured by decrease of absorbance at<br />

240 nm (Aebi, 1974). The reaction mixture contained 0.625 ml of 50<br />

mM sodium phosphate buffer (pH 7.0), 0.075 ml H2O2 (3%) and<br />

0.05 ml enzyme extract.<br />

Polyphenol oxidase (PPO; E.C. 1.14.18.1) activity was estimated<br />

following the method of Raymond et al. (1993) at 40°C. The<br />

reaction mixture contained 2.5 ml of 0.2 M sodium phosphate buffer<br />

(pH 6.8), 0.2 cm 3 pyrogallol 20 mM and 0.02 cm 3 enzyme extract.<br />

The increase in absorbance was recorded at 430 nm. The PPO<br />

activity was defined as 1µM of pyrogallol oxidated per min per mg<br />

protein (Unit mg -1 (protein)).<br />

Gel electrophoresis<br />

For determination of protein patterns, discontinuous sodium<br />

dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE)<br />

was performed according to Laemmli (1970), using 12%<br />

acrylamide. For detection of proteins, gels were stained with 0.03%<br />

comassie brilliant blue G250. For isoenzyme assay, native PAGE<br />

was carried out according to a modified method of Davis (1964)


with a 12% (SOD) and 10% (POX, CAT and PPO) acrylamide gels<br />

at 4°C.<br />

SOD bands were visualized using the activity staining procedure<br />

described by Wendel and Weeden (1989). Gels were incubated in<br />

0.2 M Tris-HCl (pH 8.0) containing 4% riboflavin, 4% EDTA and<br />

20% NBT for 40 min in the dark at room temperature and then,<br />

exposed to white light until white bands appeared in violet<br />

background. For SOD isoform identification, assays were performed<br />

in the presence of selective inhibitors. Application of KCN (3 mM)<br />

inhibits only Cu/Zn-SOD; H2O2 (5 mM) inhibits both Cu/Zn-SOD and<br />

Fe-SOD. Mn-SOD was not inhibited by KCN or H2O2 (Lee et al.,<br />

2001).<br />

CAT activity was detected using the method of Woodbury et al.<br />

(1971). The gels were incubated in 5 mM H2O2. After 10 min, the<br />

gels were washed with distilled water and stained with a reaction<br />

mixture containing 2% (w/v) ferricyanide (K3Fe(CN)6) and 2% ferric<br />

chloride till yellow bands appeared on dark green background.<br />

Electrophoresis pattern of POX was obtained by staining of the<br />

gels with benzidine according to Van Loon and Geelen, (1971). The<br />

gels were immersed in 0.2 M acetate buffer (pH 4.8) containing 3%<br />

H2O2 and 4% benzidine in 50% methanol in the dark at room<br />

temperature till the brown bands appeared.<br />

PPO bands were visualized using the method of Van Loon and<br />

Geelen, (1971). The gels were incubated in 0.2 M potassium<br />

phosphate buffer (pH 6.8) containing 0.5% 3,4- dihydroxy L-<br />

phenylalanine (L-DOPA) and 3.5% calcium chloride in the dark at<br />

room temperature till brown bands appeared.<br />

Statistical analysis<br />

The data determined in triplicate were analyzed by analysis of<br />

variance (ANOVA) using SAS Software (SAS Institute, Inc., 2002).<br />

Significance of mean differences was determined by the Duncan<br />

multiple range test (DMRT) at P < 0.05.<br />

RESULTS<br />

Tissue culture<br />

Most of the immature cotyledon explants of Chandler formed<br />

callus but only low percentage of them were<br />

embryogenic and the number of somatic embryo per<br />

callus ranged from 1 to 4 (data not shown). The embryos<br />

loosely attached without a vascular connection to the<br />

maternal tissues. They were removed from the<br />

embryogenic calli and cultured on basal medium. When<br />

walnut somatic embryos especially at the primary stages<br />

of development including globular and heart shape were<br />

cultured on basal DKW medium, two distinct responses<br />

were observed; (a) development, maturation and<br />

conversion to whole plant; and (b) secondary callus<br />

induction and repetitive somatic embryogenesis.<br />

In some cases, mature embryos produced new individual<br />

embryos on their cotyledons or root tips directly.<br />

Cotyledon-derived primary embryogenic calli were compact,<br />

hard, yellowish and grow slowly with a few number<br />

of somatic embryos on the surface but secondary calli<br />

were fast growing, very friable and light brown at early<br />

stages of formation and gradually became dark brown<br />

while produced a large number of embryos (Figure 1).<br />

Biochemical assays<br />

Ahmad et al. 4095<br />

The highest and lowest content of proteins was determined<br />

in SSE and DBC-SSE, respectively. Protein<br />

content in LBC+SSE was significantly higher than that in<br />

DBC+SSE. The highest activity of CAT was measured in<br />

DBC-SSE and the lowest activity was detected in<br />

LBC+SSE. There was no significant difference in activity<br />

of CAT between DBC+SSE and SSE. The highest activity<br />

of POX was detected in DBC-SSE and POX activity<br />

decreased in the DBC+SSE, SSE and LBC+SSE,<br />

respectively. PPO showed the highest activity in DBC-<br />

SSE while DBC+SSE had lower activity of PPO. The<br />

lowest and highest activity of PPO was detected in SSE<br />

and LBC+SSE, respectively. The lowest activity of SOD<br />

was detected in DBC-SSE and no significant difference<br />

was determined in SOD activity among other samples<br />

(Table 1). According to the SDS-PAGE protein pattern<br />

(Figure 2), the strongest and weakest protein bands were<br />

detected in SSE and DBC-SSE, respectively. Among the<br />

proteins detected, the most abundant were those with<br />

molecular masses of 83, 53, 45, 40, 36, 30, 29 and 28<br />

kDa, respectively. The 83, 53, 45 and 40-kDa proteins<br />

were present in all samples strongly except DBC-SSE.<br />

Also, the 30, 29 and 28-kDa proteins of light brown<br />

secondary somatic embryos (LBC+SSE) and SSE were<br />

expressed more than the corresponding fraction of dark<br />

brown callus with or without embryos (DBC+SSE and<br />

DBC-SSE).<br />

According to non-denaturing PAGE, two CAT isoforms<br />

were detected in the DBC+SSE. CAT1 which was observed<br />

in SSE and LBC+SSE was stronger than CAT2<br />

and was absent in DBC-SSE. In DBC-SSE only CAT2<br />

was detected and this isoform was absent in SSE and<br />

LBC+SSE (Figure 3a). Thus, CAT 2 could be regarded as<br />

a marker for dark grown calli and embryos.<br />

Five POX isoforms were determined in all samples<br />

examined. According to the activity staining, POX1 band<br />

was stronger than four other bands. This band in<br />

DBC+SSE was very strong compared with LBC+SSE and<br />

SSE. POX2 and POX3 isoforms were similar in all the<br />

samples. POX4 was present only in DBC+SSE. POX5<br />

was weak in DBC-SSE and LBC+SSE in comparison with<br />

DBC+SSE and SSE (Figure 3b). Thus, POX4 could be<br />

regarded as a marker for dark grown calli containing<br />

embryos (DBC+SSE).<br />

Five bands with PPO activity were detected on gels by<br />

native PAGE. PPO1 and PPO3 bands in DBC-SSE were<br />

stronger than the others. PPO2 was present only in<br />

DBC+SSE and DBC-SSE while PPO4 was present only<br />

in SSE and LBC+SSE. PPO5 band was common in all<br />

samples and is very strong in SSE and LBC+SSE in<br />

comparison with other samples (Figure 3c). Thus, PPO4<br />

could be regarded as a specific marker for light grown<br />

calli and secondary somatic embryos.<br />

Six bands of SOD were detected in the samples. The<br />

identities of the major SOD activity bands were tested by


4096 Afr. J. Biotechnol.<br />

Figure 1. Secondary somatic embryogenesis in Persian walnut. (a) Primary embryogenic callus<br />

derived from immature cotyledons of Chandler cultivar with two somatic embryos; 1, arrowed = a<br />

well developed cotyledonary embryo; 2, arrowed = heart shape embryo (bar = 8 mm); (b) direct<br />

secondary somatic embryogenesis; arrowed = two torpedo embryos on the surface of the primary<br />

embryo's cotyledons (bar = 4 mm); (c) light brown secondary embryogenic callus with several<br />

secondary somatic embryos; 1, arrowed = globular secondary embryo, 2, arrowed = precotyledonary<br />

embryo (bar = 4 mm); (d) dark brown secondary embryogenic callus with several secondary somatic<br />

embryos; 1, arrowed = torpedo embryo; 2, arrowed = precotyledonary embryo (bar = 5 mm).<br />

Table 1. Protein content (mg g -1 (F.W.)) and activity of antioxidant enzymes (U mg -1 (protein)) in different stages of<br />

secondary somatic embryogenesis.<br />

Parameter Total protein CAT POX PPO SOD<br />

DBC+SSE 2.52 ± 0.10c 144.16 ± 4.56 b 28.52 ± 1.30b 0.28 ± 0.01b 1.017 ± 0.001a<br />

DBC-SSE 0.55 ± 0.02d 345.26 ± 10.73a 135.51 ± 2.15a 0.85 ± 0.04a 0.980 ± 0.001b<br />

SSE 5.50 ± 0.28a 125.30 ± 4.30b 18.23 ± 1.10c 0.11 ± 0.01c 1.012 ± 0.001a<br />

LBC+SSE 4.26 ± 0.04b 77.26 ± 5.17c 9.24 ± 0.37d 0.13 ± 0.01c 1.015 ± 0.004a<br />

DBC+SSE, Dark brown calli with secondary somatic embryo; DBC-SSE, dark brown calli without secondary somatic embryo;<br />

SSE, secondary somatic embryo; LBC+SSE, light brown calli with secondary somatic embryo. Means ± SE; values marked<br />

with different letters are significantly different according to DMRT at P < 0.05.<br />

preincubating the gels with well-characterized SOD<br />

inhibitors: KCN is an inhibitor of Cu/Zn-SOD, whereas,<br />

H2O2 inhibits both Cu/Zn-SOD and Fe-SOD. The upper<br />

band (Figure 3d), in all samples, represented a<br />

mitochondrial Mn-SOD. Five bands with higher mobility<br />

represented the cytosolic Cu/Zn-SOD isoenzymes. The<br />

band representing a chloroplastic Fe-SOD was not presented.<br />

No significant qualitative differences in the<br />

pattern of SOD isoforms were observed between tissues.<br />

DISCUSSION<br />

In vitro culture conditions represent an unusual combination<br />

of stress factors that plant cells encounter<br />

(oxidative stress as a result of wounding at excision of<br />

the explant tissue, PGRs, low or high salt concentration<br />

in solution, low or high light intensities). The stress not<br />

only promotes dedifferentiation but also induce somatic<br />

embryo formation. The drastic changes in the cellular


Figure 2. SDS-PAGE pattern of proteins during<br />

secondary somatic embryogenesis in Persian walnut;<br />

dark brown calli with secondary somatic embryo<br />

(DBC+SSE) (1), dark brown calli without secondary<br />

somatic embryo (DBC-SSE) (2), secondary somatic<br />

embryos (SSE) (3), light brown calli with secondary<br />

somatic embryo (LBC+SSE) (4) and molecular mass<br />

marker (M). Equal amounts of protein (40 µg) were<br />

loaded in each lane. Arrows indicate the affected and<br />

embryo- specific bands.<br />

environment of the in vitro culture induced by a ‘stressor’<br />

in the culture medium or in the physical environment of<br />

the culture, are responsible for reprogramming of gene<br />

expression (Zavattieri et al., 2010). However, secondary<br />

somatic embryogenesis from a dark brown calli in<br />

absence of any growth regulator might be induced by oxidative<br />

stress. The effect of stress during culture may help<br />

to improve induction of somatic embryogenesis in<br />

recalcitrant somatic tissues of Persian walnut.<br />

Somatic embryos are formed from immature cotyledons<br />

of walnut cultivar and this result is in agreement with<br />

Tulecke and Mc Granahan (1985) and Vahdati et al.<br />

(2006). According to Tulecke and Mc Granahan (1985)<br />

somatic embryo tissues in walnut cultivars often turn into<br />

dark brown masses after several months in culture and<br />

they frequently produce globular somatic embryos which<br />

could be removed and used to propagate the embryogenic<br />

lines. It should be mentioned that, all of the<br />

developmental stages of embryos including globular,<br />

heart shape, torpedo and cotyledonary can be observed<br />

on the surface of secondary embrygenic calli. Although,<br />

all related <strong>articles</strong> have confirmed the secondary<br />

embryogenesis in walnut cultivars but there is no report<br />

Ahmad et al. 4097<br />

on the alterations of antioxidant enzymes and proteins<br />

during somatic embryogenesis.<br />

Protein content in SSE which contained embryos at<br />

different developmental stages was the highest, but DBC-<br />

SSE which lacks any embryos had the lowest level of<br />

protein. The difference in protein content was confirmed<br />

by gel electrophoresis profile. These results are in good<br />

agreement to Junaid et al. (2007), who reported that<br />

protein content in matured and proliferated somatic<br />

embryos were significantly higher than that in secondary<br />

embryogenic calli of Catharanthus roseus L. They<br />

showed that the protein content gradually increased with<br />

advancing stages of somatic embryogenesis. It has been<br />

reported that, the degradation of cell membranes and<br />

browning coincident with the loss of chlorophyll and<br />

browning is associated with cell disorganization<br />

(Laukkanen, et al., 2000). Among the protein bands,<br />

some were stronger than the others. Proteins with molecular<br />

weight of about 83, 53, 45, 40-kDa were expected<br />

to be involved in somatic embryogenesis. Sung and<br />

Okimoto (1983) in the studies on carrot have reported<br />

two somatic embryo-specific proteins (77 and 43 kDa).<br />

Similar studies performed by Chen and Luthe (1987) on<br />

rice revealed the presence of two major proteins of 54<br />

and 24 kDa, which were regarded as somatic embryosspecific.<br />

According to Pakusch et al. (1991) a 24 kDa<br />

band may represent subunits of methyltransferase, an<br />

enzyme associated with lignin synthesis. The production<br />

of lignin compounds in callus of plants species may be as<br />

a result of stress reactions because several stresses are<br />

known to induce the synthesis of phenylpropanoids.<br />

Activities of CAT, POX and PPO in DBC-SSE were<br />

significantly higher than those in the other samples but<br />

the lowest activity of SOD was detected in this tissue.<br />

According to these results, the differentiation and<br />

development of embryogenic tissues during secondary<br />

somatic embryogenesis of Persian walnut could be<br />

regulated by antioxidant enzymes (CAT and POX and<br />

PPO). The study analyses showed that activities of CAT,<br />

POX and PPO rapidly increased along with the seconddary<br />

somatic embryogenesis. According to Kairong et al.<br />

(1999) the acquisition of competence, induction and<br />

development of somatic embryos in L. barbarum L. were<br />

associated with the gradual increase in SOD activity.<br />

POX and CAT activities were high in callus and rapidly<br />

decreased in the early days of the differentiation culture<br />

(Kairong et al., 1999). Laukkanen et al. (1999, 2000)<br />

reported that, tissue browning in Scot pine is associated<br />

with increased POX and PPO activities, as well as cell<br />

disorganization and eventually cell death. From the<br />

zymograms of CAT, it can be concluded that CAT1 was<br />

somatic embryo-specific and CAT2 was present only in<br />

dark brown calli and not in light brown ones. These<br />

differences might be related to tissue browning and thus,<br />

CAT could be an indicator for oxidative stress. Among<br />

five POX isoforms, POX1 band in DBC+SSE was very<br />

strong compared with LBC+SSE and SSE. POX4 band


4098 Afr. J. Biotechnol.<br />

Figure 3. Activity staining for SOD; (a) CAT (b) PPO (c) and SOD (d) during secondary somatic embryogenesis in Persian<br />

walnut: dark brown calli with secondary somatic embryo (DBC+SSE) (1), dark brown calli without secondary somatic embryo<br />

(DBC-SSE) (2), secondary somatic embryos (SSE) (3), and light brown calli with secondary somatic embryo (LBC+SSE) (4).<br />

Equal amounts of protein (40 µg) were loaded in each lane.<br />

was present only in DBC+SSE. Thus, POX4 could be<br />

related to tissue browning in these tissues. PPO1 and<br />

PPO3 bands were stronger in DBC-SSE and PPO2<br />

which was only present in DBC+SSE could be related to<br />

tissue browning, while PPO4 was detected only in SSE<br />

and LBC+SSE and PPO5 could be related to somatic<br />

embryo development (Figure 3c). The contribution of<br />

individual SOD isoforms to total SOD activity was<br />

determined by performing SOD assays directly on protein<br />

extracts separated in native gels. The upper band (Figure<br />

3d), in all samples, represented a mitochondrial Mn-SOD.<br />

Five bands with higher mobility represented the cytosolic<br />

Cu/Zn-SOD isoenzymes. The band representing a<br />

chloroplastic Fe-SOD was not detected in samples. The<br />

levels of superoxide dismutase activity were lower in<br />

browning tissues than that in non-browning tissues in<br />

culture condition in Scot pine (Laukkanen et al., 2000)<br />

and these results are in agreement with the latter<br />

research. In Virginia pine, tissue browning decreases the<br />

efficiency of in vitro regeneration through somatic<br />

embryogenesis (Tang and Newton, 2004). It was reported<br />

that, in non-browning callus cultures, PPO activity<br />

declined while in browning calli, PPO activity continued to<br />

increase. It is believed that the increased PPO activity in<br />

browning calli results from wounding or oxidative<br />

damage. Numerous experiments have recently been<br />

carried out on several plant species with the objective of<br />

explaining the role of oxidative stress in plant<br />

morphogenesis (Gupta and Datta, 2003, 2004; Libik et<br />

al., 2005). It is well known that somatic embryogenesis is<br />

one of the most useful approaches for understanding<br />

plant development. Higher levels of intracellular H2O2<br />

induce and promote embryo-genesis of L. barbarum L.<br />

callus (Kairong et al., 1999). However, the relationship<br />

between the ROS and the callus differentiation and<br />

regeneration has not been well understood till now (Tian<br />

et al., 2003).<br />

In summary, according to the present research, the<br />

differentiation and development of embryogenic tissues<br />

during secondary somatic embryogenesis of Persian<br />

walnut could be regulated by protein and antioxidant<br />

enzymes.


REFERENCES<br />

Aebi H (1974). Catalases. In: Bergmeyer HU (ed.). Methods of<br />

Enzymatic Analysis 2, <strong>Academic</strong> Press, New York, pp. 673-684.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4100-4105, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2673<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Sugar beet genotype effect on potential of bioethanol<br />

production using Saccharomyces cerevisiae<br />

fermentation<br />

Parviz Mehdikhani 1 *, Hrachya Hovsepyan 2 and Mahmood Rezazadeh Bari 3<br />

1 Agricultural Research Center of West Azerbaijan, Iran.<br />

2 Agricultural Research Center of Yerevan, Armenia.<br />

3 Agricultural Sciences College of Urmia University, Iran.<br />

Accepted 6 April, 2011<br />

In order to study the effect of genotype on sugar beet ethanol production potential, ten beet varieties<br />

including diploid, triploid and tetraploid, multigerm, monogerm sugar beet and fodder beet were planted<br />

in randomized complete block design (RCBD) with three replications in Khoy Agricultural Research<br />

Center for two years (2008 to 2009). Some morphological and physiological traits were recorded. The<br />

fresh root and raw sugar of each treatment were fermented to ethanol using Saccharomyces cerevisiae.<br />

Results showed that, genotype had a remarkable effect on the ethanol production potential. Significant<br />

difference (at the 1% level) in ethanol was observed among the beet varieties in both ethanol production<br />

methods. In addition, more significant differences in most morphological and qualitative traits among<br />

the varieties studied were observed. Variation on ethanol production were intensively related to the<br />

chemical composition of root, especially sugar content, potassium impurity, syrup purity and some<br />

characteristics such as root dry matter and root length. Bioethanol production was enhanced by<br />

increasing the sugar content and root yield in sugar beet. Sugar beet varieties contained less root yield<br />

and more sugar content had higher potential for ethanol production than the fodder beet varieties.<br />

Key words: Bioethanol, Saccharomyces cerevisiae , sugar beet, raw sugar<br />

INTRODUCTION<br />

Oil crises occurrence in the 1970 decade due to consumption<br />

increase over production, and the extraordinary<br />

increase of oil price, persuaded industrial countries to<br />

have different approach on the energy issue. Reduction<br />

of fossil fuel resources, commencement of environmental<br />

concerns and improvement of social living standards<br />

under different conventions and protocols like Kyoto<br />

protocol, led to direct human use of clean fuels<br />

(Miyamoto, 1997). Industry leading manufacturers in the<br />

world and producers attempt to replace petrochemical<br />

materials with agricultural products. Nowadays, bioenergy<br />

forms about 8% of the total annual energy used in<br />

the United States (Anonymous c , 2010). Governments and<br />

*Corresponding author. E-mail: Mehdikhani20@gmail.com. Tel:<br />

+98 461 223 3158 or +98 914 161 3755. Fax: +98 461 223<br />

3159.<br />

industries make use of various initiatives associated with<br />

bio-energy production, increase of production efficiency<br />

and decrease of production cost (National research<br />

council, 2000). Ethanol or ethyl alcohol, unlike past<br />

decades that was only used in few industries, is<br />

considered as one of the important and strategic<br />

commodities in many countries and yet the production<br />

volume of this substance is increasing day by day. More<br />

than 80% of the existing ethanol in the world is used as<br />

fuel consumption and its by-products, and 20% of the<br />

remaining is used for traditional applications in industries<br />

such as medical, health and cosmetics, paint and resin<br />

(Anonymous a, 2010). Brazil and United States are the<br />

world's leading producer of ethanol. In 2008, United<br />

States produced 9 billion U.S. liquid gallons of ethanol<br />

fuel and 10.6 billion U.S. liquid gallons of ethanol fuel in<br />

2009. This represents around 55% of the world's total<br />

ethanol production (Anonymous a , 2010). Ethanol also can<br />

be considered as an agricultural sector stabilizer, for


example, if ethanol conversions factories are enable to<br />

produce ethanol from sugar beet, potato and maize, we<br />

will not be faced with difficulty of production increase of<br />

these products in different periods (Parvin, 2010).<br />

Currently, more than 90% of the existing ethanol in the<br />

world is produced as bio-ethanol and 7% synthetically. In<br />

fact, until the late 1980 a noticeable proportion of ethanol<br />

in the world was artificially produced from petrochemicals,<br />

but after this decade new investment has not<br />

been done in this case. It is obvious that each country<br />

based on the dominant culture and climate conditions can<br />

make use of some agricultural products for producing<br />

ethanol. For an example, more than 20% of the nation’s<br />

total corn supply is consumed for ethanol production in<br />

United States (Anonymous a , 2010), while ethanol is<br />

produced in Iran, countries like South America, Brazil,<br />

India, Pakistan and Thailand and some European<br />

countries from sugar beet and cane molasses. Meanwhile,<br />

countries such as Russia, Canada, China,<br />

Australia and some European countries use wheat for<br />

ethanol production (Venturi and Venturi, 2003).<br />

Sugar beet (Beta Vulgaris L.) is a sucrose-rich product<br />

that has many industrial applications in the today world.<br />

Beets are planted from northern latitudes of 30 to 60° and<br />

from Cairo in Egypt, to Helsinki in Finland and generally,<br />

in Europe, Africa and North America and from the height<br />

of zero to over 2000 meters above sea level (Khajehpour,<br />

2006). Beet has a relatively wide consistency range with<br />

an extensive resistance to water stress, salinity and cold.<br />

Among agricultural products, sugar beet is a plant that<br />

has allocated itself a special place in supplying a part of<br />

energy required for human, in particular, in the third world<br />

countries that do not have access to other energy<br />

sources and it is considered as one of the key of economic,<br />

agricultural and national components (Cook and<br />

Scott, 1998).<br />

Today, sugar beet provides 40% of world sugar trade<br />

within less than 200 years progress (USDA, 2008). Sugar<br />

beet cultivation in 41 countries is estimated as 8.1 million<br />

hectares. In the United States, every year about 0.5<br />

million hectares of lands are planted with sugar beet,<br />

Germany with more than 0.4 million hectares and Italy<br />

and England, each with more than 0.2 million hectares<br />

are placed in next ranks (USDA, 2008). Different researches<br />

have been done on ethanol production from sugar<br />

beet. Theurer et al. (1987) evaluate different varieties of<br />

sugar and fodder beets in different weather conditions<br />

with respect to ethanol production potential. They stated<br />

that the amount of ethanol produced from sugar beet is<br />

more than fodder beet. Gibbons and Westby (1987) did a<br />

study with the aim of optimizing ethanol production from<br />

different sizes of fodder beet slices and achieved 4.83%<br />

of ethanol.<br />

Venturi and Venturi (2003) and Koga (2008) compared<br />

agricultural products of temperate regions and concluded<br />

that, energy consumption efficiency of sugar beet for<br />

producing ethanol is much higher than those of wheat,<br />

Mehdikhani et al. 4101<br />

corn and oil seeds. A research conducted in Turkey<br />

about ethanol production from sugar beet varieties<br />

showed that this country has enough potential to supply<br />

energy required for domestic consumptions and independence<br />

from imports of fossil fuels (Icoz et al., 2009).<br />

With respect to pure carbohydrates, sugar beet has<br />

very high harvest index, because either the aerial part or<br />

underground part of sugar beet can be used to ferment<br />

and produce ethanol. On the other hand, sugar beet<br />

compared with other agricultural products, can be<br />

harvested in a three-month period and this provides a<br />

good chance for ethanol production (Chatin et al, 2004).<br />

In a research conducted in the UK, bio-ethanol values<br />

produced from different crops were studied and it was<br />

announced that 2688 and 5250 L of bio-ethanol were<br />

produced from every hectare of wheat and sugar beet<br />

farms, respectively (Anonymous b , 2010). In another study<br />

in India, 0.38 and 0.126 L of ethanol were produced from<br />

every kg of sugar and fresh sugar beet root, respectively<br />

(Blazek, 2007).<br />

Srivastava et al. (2008) observed significant differences<br />

between different varieties with respect to bio-ethanol<br />

production and announced that the varieties with more<br />

root yield and higher sugar percentage are more<br />

promising for ethanol production. Kosaric et al. (1983)<br />

compared two types of yeast including Saccharomyces<br />

cerevisiae and Saccharomyces diastaticus for bio-ethanol<br />

production from fresh sugar beet root and announced<br />

that the yeast of S. cerevisiae had more efficiency.<br />

Undoubtedly, ethanol production from renewable materials<br />

and biomass mostly depends on physico-chemical<br />

properties of the materials, pre-treatment manner,<br />

efficiency of zymogenic microorganisms and fermentation<br />

conditions such as initial concentration of sugar, PH,<br />

temperature, microbial density and fermentation time<br />

(Camire and Camire, 1994; linko et al., 1983; Zhan et al.,<br />

2003). Increase of fermentable biomass amount is an<br />

issue that must be studied by different varieties with<br />

respect to fermentation efficiency.<br />

Plant breeding strategies can be implemented to<br />

improve biomass yield, biomass quality, biomass<br />

conversion efficiency, resistance to diseases and pests,<br />

sugar content and other characteristics associated with<br />

ethanol production. This study investigated the ethanol<br />

production potential in some beet genotypes and its<br />

relation with some characteristics such as root yield and<br />

sugar content.<br />

MATERIALS AND METHODS<br />

The quality and quantity of the ethanol produced from sugar beet is<br />

strongly dependent on variety. In order to evaluate some characteristics<br />

of sugar beet varieties that affect Bioethanol production,<br />

this experiment was carried out with ten beet varieties in<br />

randomized complete block design (RCBD) with three replications<br />

for two years (2008 to 2009) in Khoy Agricultural Research Station,<br />

Iran. Ten beet varieties including 8 sugar beets and 2 fodder beets<br />

were the most appropriate varieties with respect to plantation


4102 Afr. J. Biotechnol.<br />

season and region. Some traits including green biomass, fresh and<br />

dry weight of root, leaves and petiole, root yield, sugar content,<br />

white sugar content, sugar yield, molasses, nitrogen, sodium and<br />

potassium impurities, syrup purity, leaf area index (LAI), length of<br />

root and green cover percentage were measured and recorded. At<br />

the end of the growth season, all roots and crowns were harvested<br />

and then samples were taken for recording some characteristics in<br />

the laboratory. Fresh sugar beet root and raw sugar were used for<br />

the ethanol production in the laboratory.<br />

Preparing of yeast culture<br />

The special yeast (S. cerevisiae) was maintained on malt agar<br />

medium [contains yeast extract (3 g); malt extract (3 g); peptone (5<br />

g); glucose(10 g); agar (20 g); all dissolved in 1 L of distilled water<br />

and adjusted to pH 5.6] accordingly (Zayed and Foley, 1987).<br />

Inoculum was prepared from 1 ml of yeast with 100 ml of the earlier<br />

stated medium. After maintaining for 30 h in an incubator at 35°C,<br />

the culture contained approximately 5 × 10 8 cells per ml.<br />

Production of ethanol from fresh sugar beet root<br />

After washing the roots of 20 kg of each treatment, using cutting<br />

machine, the roots were cut into slices with a thickness of 1.5 mm<br />

and a length of 5 to 7 cm (Mesbahi, 2003). Then, the slices were<br />

kept in warm water (60°C) for 2 h with agitator timer till their syrup<br />

leaked into the water (Jones et al., 1981). After filtration of the total<br />

solution, the remaining syrup was separated from pulp by pressure.<br />

The sap was boiled for 2 h in a vacuum till its concentration<br />

reached the sufficient limit and also, its microbial contamination was<br />

destroyed. Then the sap was fermented under 35°C and at pH 5.5<br />

for 72 h (Srivastava et al., 2008) using a special strain of S.<br />

cerevisiae Persian type culture collection (PTCC) 5269 obtained<br />

from the Persian type culture collection of yeast cultures, Tehran,<br />

Iran. After fermentation, the obtained solution was filtered and then<br />

purified with a distiller apparatus.<br />

Production of raw sugar from sugar beet<br />

For the production of raw sugar, 20 kg beet root from each<br />

treatment after washing with water was sliced to the dimensions of<br />

1.5 mm in thickness and 5 to 7 cm in length (Mesbahi, 2003). In<br />

whole, the current syrup in the slices after rinsing with pure water of<br />

almost the same volume and temperature of 75°C was exited by a<br />

press machine. In order to refine the obtained solution, lime and<br />

CO2 were added, respectively. In this stage, the pH increased to<br />

about 11 (Clarke, 1988). The solution was maintained in a closed<br />

container for at least an hour with a gentle agitation at 85°C to<br />

some of the impurities deposit. Then the solution was transferred to<br />

a pre-provided apparatus with special tubes passing steam until it<br />

was concentrated up to 70% at 120°C (Mesbahi, 2003). Some<br />

sugar powder was added to the produced syrup in vacuum at<br />

temperature below 100°C and it was kept at the same temperature<br />

till sugar crystals were formed and enlarged. After cooling the<br />

mixture, it was centrifuged at 1800 rpm for 5 min and the produced<br />

sugar was weighed and kept after drying. The remaining syrup was<br />

weighed as molasses (Mesbahi, 2003).<br />

Production of ethanol from raw sugar<br />

The sugar produced from each treatment with 25% concentration<br />

was dissolved in distilled water at 40°C. The obtained solution was<br />

fermented for 72 h under the earlier mentioned temperatures and<br />

pH for all the treatments by using suitable population density of S.<br />

cerevisiae. After filtering the produced solution, it was purified up to<br />

94% by using distiller apparatus (Koga, 2008).<br />

Statistical analysis<br />

Ethanol concentration was determined by specific gravity method<br />

(AOAC, 1990). Ethanol was analyzed using HPLC system with an<br />

Aminex HPX-87H column (Bio-Rad, Hercules, CA) to compare the<br />

results with earlier method. The mobile phase was 5 mm H2SO4<br />

pumped at a flow rate of 0.6 ml/min. Data acquisition and analysis<br />

were performed using the SHIMADZU EZ START 7.1.1 software.<br />

The results reported were based on specific gravity method.<br />

Analysis of variance (ANOVA), least significant difference (LSD)<br />

and comparison of means were done using ASA (SAS, 1995).<br />

RESULTS AND DISCUSSION<br />

In the experiment of the ethanol production from fresh<br />

sugar beet root, the total amount of distilled alcohol was<br />

recorded for each treatment with 94% alcohol. Sugar<br />

beet roots had around 10 to 18% sugar for different<br />

varieties. So the theoretical yield of the produced ethanol<br />

was almost 15% for fresh sugar beet root and around<br />

50% for sugar. An important characteristic of the ethanol<br />

production process is its feedstock quality, which makes<br />

it susceptible to contamination by non-S. cerevisiae<br />

yeasts. The most important aspect of the fuel-ethanol fermentation<br />

is ethanol yield or more generally the industrial<br />

yield. It depends on the fermentative capacity of the yeast<br />

population (Grote and Rogers, 1985) and their resistance<br />

to stress conditions (Bai et al., 2008).<br />

Analysis of variance<br />

Analysis of variance for sugar beet physiological and<br />

quali-tative characteristics for two years showed that,<br />

there was a significant difference among the different<br />

varieties with respect to ethanol production potential from<br />

fresh root and raw sugar. Varieties also showed significant<br />

differences in some recorded traits including root<br />

yield, sugar content, sugar yield, nitrogen, potassium and<br />

sodium impurities, syrup purity and molasses yield. This<br />

difference was completely normal because the various<br />

types of beet including N, E and Z types and/or sugar and<br />

fodder beet and also diploid, triploid and tetraploid were<br />

applied in this study. These differences resulted in<br />

different ethanol yields of the varieties.<br />

Combined analysis of variance for morphological traits<br />

for the two years showed that root length, leaf number,<br />

leaf area index (LAI), dry weight of roots and crowns had<br />

significant differences (p < 0.01).<br />

Comparison of means<br />

Comparison of some traits of beet varieties showed that


Table 1. Comparison of some traits of beet varieties<br />

Mehdikhani et al. 4103<br />

Variety Root Yield Sugar Yield White Sugar Yield Sugar Content K NA N<br />

9597 57.33 c 9.68 bc 8.59 b 16.9 a 3.89 b 1.88 bc 2.23 abc<br />

7233 57.86 c 9.90 bc 8.63 b 17.12 a 4.48 b 2.11 bc 2.34 abc<br />

Shirin 58.14 c 10.37 bc 9.27 b 17.85 a 4.00 b 1.68 c b 2.42 abc<br />

BR1 61.68 bc 10.14 bc 8.65 b 16.43 a 4.81 b 2.21 bc 2.93 ab<br />

7112 71.35 b 11.40 b 9.59 b 16.03 a 4.42 b 3.05 ab 2.76 ab<br />

IR2 87.49 a 14.51 a 12.42 a 16.58 a 4.56 b 2.54 abc 2.60 ab<br />

37RT 65.67 bc 10.78 b 9.23 b 16.45 a 4.42 b 2.62 abc 2.37 abc<br />

19669 68.13 b 10.05 bc 8.85 b 14.75 a 3.78 b 1.69 c 1.90 bc<br />

Fd1 66.60 bc 8.03 cd 5.75 c 11.59 b 7.21 a 2.20 bc 1.17 c<br />

Fd2 69.40 b 6.53 d 4.05 c 9.9 b 8.20 a 3.52 a 3.42 a<br />

Numbers followed by similar letters are not significantly different at 5% level of probability.<br />

Table 2: Comparison of beet varieties regarding ethanol production potential<br />

Variety Ethanol from Root (L Ton–1 ) Ethanol from Root (L ha–1 ) Ethanol from Raw Sugar (L ha–1 )<br />

9597 107.10 a 6194 bc 4725 b<br />

7233 108.40 a 6334 bc 4750 b<br />

Shirin 113.20 a 6637 b 5100 b<br />

BR1 104.80 a 6489 bc 4756 b<br />

7112 102.40 a 7294 b 5275 b<br />

IR2 105.60 a 9285 a 6829 a<br />

37RT 105.70 a 6901 b 5077 b<br />

19669 93.64 a 6436 bc 4868 b<br />

Fd1 74.57 b 4974 cd 3164 c<br />

Fd2 63.25 b 4395 d 2228 c<br />

Numbers followed by similar letters are not significantly different at 5% level of probability.<br />

in the bioethanol production from fresh root of beet,<br />

cultivar of IR2 had the highest root yield with 87.49 ton/h<br />

and the highest ethanol yield with 9285 L/h (Tables 1 and<br />

2). Also, IR2 with 12.42 ton/h of white sugar yield had<br />

higher yield than the rest of the varieties, while fodder<br />

beet varieties (Fd1 and Fd2) with 5.75 and 4.05 tone/h of<br />

white sugar yield, respectively, had the lowest yield and<br />

these varieties had the lowest bioethanol yield (Table 1).<br />

The fodder varieties had impurities amounts of nitrogen,<br />

potassium and sodium. Hence, the amount of molasses<br />

production in these varieties also was more than the rest<br />

(data not shown).<br />

Theurer et al. (1987) evaluated sugar beet and fodder<br />

beet varieties, and declared that sugar beet with 8640 L/h<br />

of ethanol production, compared with 6380 L/h fodder<br />

beet, had more potential for ethanol production.<br />

Ethanol production from raw sugar, IR2 with 6829 L/h<br />

had the highest value, while the fodder beet varieties with<br />

3164 and 2228 L/h had the lowest ethanol yield (Table 2).<br />

According to the qualitative analysis of raw sugar<br />

obtained from the different varieties, it can be stated that,<br />

the quality of sugar in different varieties had no difference<br />

and so ethanol production was related to quantity of the<br />

produced sugar for each variety. The amounts of<br />

potassium and nitrogen impurities of the fodder varieties<br />

were comparable with those of other varieties. Significant<br />

difference between the two years of the tests was not<br />

observed in terms of our studied traits. Regional weather<br />

data also showed that, no large changes in climate<br />

parameters were observed during the years 2008 and<br />

2009 (data not shown).<br />

Correlations of some sugar beet traits with ethanol<br />

production<br />

Correlation between some sugar beet traits with ethanol<br />

production from the fresh root indicated that, ethanol yield<br />

had high positive correlation with the sugar yield, white<br />

sugar yield, sugar content, white sugar content, syrup<br />

purity and dry weight of root. Also, it had significant<br />

negative correlation with molasses sugar (Table 3).<br />

The correlation between some sugar beet traits with<br />

ethanol production from raw sugar is shown in Table 3.<br />

The results indicated that, ethanol yield had high positive<br />

correlation with sugar yield, white sugar yield, sugar


4104 Afr. J. Biotechnol.<br />

Table 3. Correlation of some beet traits with ethanol production from fresh root and raw sugar.<br />

Ethanol from Fresh Root (L/Ton) Ethanol from Raw Sugar (L/H)<br />

Root Yield - 0.575 **<br />

Sugar Yield 0.727 ** 0.969 **<br />

White Sugar Yield 0.838 ** 0.986 **<br />

Sugar Content 0.921 ** 0.828 **<br />

White Sugar Content 0.985 ** 0.830 **<br />

Potassium Impurity 0.266 -0.475 *<br />

Sodium Impurity 0.340 -0.218<br />

Nitrogen Impurity 0.112 0.070<br />

Syrup Purity 0.829 ** 0.655 **<br />

Molasses Sugar -0.628 ** -0.342<br />

Root Length -0.002 0.584 **<br />

Number of leaves -0.128 0.174<br />

Leaf Area Index 0.007 -0.102<br />

Fresh Weight of Crown 0.038 -0.093<br />

Dry Weight of Crown -0.037 0.427 *<br />

Dry Weight of Root 0.369 * 0.582 **<br />

**& * represent correlations with significant levels of 0.01 and 0.05, respectively.<br />

content, white sugar content, root yield, syrup purity, root<br />

length, dry weight of root and crown. Also, it had<br />

significant negative correlation with potassium impurity.<br />

Sodium and nitrogen impurities, number of leaves and<br />

leaf area index (LAI) had no significant correlation with<br />

ethanol production.<br />

In this study, S. cerevisiae was used for the fermentation<br />

and the used sugar type was sucrose that can be<br />

converted to bioethanol. Hence, cellulose tissue in fresh<br />

beet root cannot have great role in ethanol production<br />

(Singh et al., 1995). Therefore, the high correlation<br />

between ethanol yield and white sugar in this study<br />

seems to be reasonable. Variations of 32 to 43% for<br />

ethanol yields were observed among the 10 beet<br />

varieties. The effect of genotype on ethanol production is<br />

related to both the chemical composition and morphological<br />

properties of the beet root samples, with a<br />

stronger effect observed for chemical composition such<br />

as sugar content and impurities. Ethanol production<br />

increased as sugar content increased, whereas the<br />

ethanol production decreased as nitrogen and potassium<br />

impurities increased. Further research is needed to test a<br />

broad number of varieties across a wide range of growing<br />

conditions to further evaluate the effects on ethanol<br />

fermentation yields. Both sugar content and root yield<br />

were strongly correlated with ethanol yield based on<br />

regression analysis using single chemical composition.<br />

The relationship between sugar content and theoretical<br />

percentage of ethanol yield indicated that, sugar content<br />

had significant effect on ethanol yield (Table 3).<br />

Zhan et al. (2003) studied a number of varieties of grain<br />

and fodder sorghum and found that the chemical composition<br />

and physical properties of grain are very important<br />

factors on ethanol production potential.<br />

Conclusions<br />

Bioethanol production from sugar beet via fermentation<br />

technology is a promising fuel alternative. In order to<br />

produce ethanol from sugar beet and by-products via<br />

fermentation, it is important to know the correlations<br />

between some morphological and physiological traits with<br />

ethanol production. The novelty of this study compared<br />

with other investigations is to produce ethanol from fresh<br />

sugar beet root. It was observed that, several varieties<br />

had different ethanol production potentials highly<br />

correlated with root quantitative and qualitative traits. In<br />

fact, this study highlighted breeding of sugar beet<br />

varieties particularly for ethanol production. Based on the<br />

analysis of the experimental data, ethanol production<br />

from fresh root has more efficiency than fermentation of<br />

raw sugar. Among all of the investigated varieties, sugar<br />

beet varieties produced more ethanol per hectare than<br />

fodder beet. Sugar beet varieties had more root yield and<br />

sugar content than fodder beet and these two<br />

characteristics play basic role in ethanol production. The<br />

adapted sugar beet hybrids showed better promise than<br />

fodder beet as a fuel crop in the USA, since sugar beet<br />

produces an equal or greater quantity of fermentable<br />

sugar, it has less bulk to transport and more extractable<br />

sugar per unit mass (Theurer et al., 1987).<br />

The results obtained from this research showed that, a<br />

limited number of beet genotypes had significant effects<br />

on the potential of ethanol production. A significant difference<br />

(p < 0.01) was observed in ethanol yield among<br />

varieties in both methods of ethanol production. Also,<br />

highly significant differences were observed in the<br />

morphological and physiological traits among the varieties.<br />

Genotype variation effects were found on ethanol


yield, that is, highly related to the chemical composition of<br />

roots, especially sugar content, potassium impurity, crude<br />

syrup purity and some morphological characteristics such<br />

as root length and root dry matter. In addition, ethanol<br />

production increased as sugar content and root yield<br />

increased.<br />

When sugar beet was compared with other sugar<br />

crops, its irrigation requirement was less and so, it was<br />

suitable in our agricultural system. It needs more ethanol<br />

from beet genotypes and support from private sugar<br />

industry from all over the world. This subject may create<br />

a new vista.<br />

ACKNOWLEDGMENT<br />

The authors would like to acknowledge all personnel of<br />

biotechnology research institute in Urmia University<br />

especially Dr. Sabzi for preparation of all apparatus and<br />

services. The authors gratefully acknowledge also Dr.<br />

Taleghani and Dr. Mahmoodi, directors of sugar beet<br />

seed institute for the analysis of sugar beet pulps in their<br />

institute lab and Dr. moghaddamnia for kindly reviewing.<br />

REFERENCES<br />

Anonymous a (2010). http://energy-statistics.blogspot.com/2010/11/usethanol-fuel-statistics.html<br />

Anonymous b (2010). http://www.esru.strath.ac.uk/EandE/Web_sites/02-<br />

03/biofuels/quant_bioethanol.htm (Available: 25 May 2010).<br />

Anonymous c (2010)."Renewable Fuel Standard Program (RFS2): Final<br />

Rule". U.S. Environmental Protection Agency. (Available: 9 Feb<br />

2010).AOAC (1990). Official Methods of Analysis, 15th Ed.<br />

Association of Official Analytical Chemists, Arlington, VA.<br />

Bai FW, Anderson WA, Moo-Young M (2008). Ethanol fermentation<br />

technologies from sugar and starch feedstocks. Biotechnol. Adv. 26:<br />

89-105.<br />

Blazek E (2007). http://www.appropedia.org/Ethanol. from organic sugar<br />

beets Categories.<br />

Camire ME, Camire AL (1994). Enzymatic starch hydrolysis of extruded<br />

potato peels. Starch-Starke. 46: 308-311.<br />

Chatin P, Gokhale D, Nilsson S (2004). Sugar beet growing in tropical<br />

areas: A new opportunity for growers and the sugar industry. Int.<br />

Sugar J. 106: 329-330.<br />

Clarke MA (1988). Chemistry & Processing of Sugar beet & Sugarcane.<br />

Elsevier Science Publishing Co. Inc.<br />

Cook DA, Scott RK (1998). Sugar Beet; science to practice. Translation.<br />

Faculty members sugar beet research institute of Iran. Agric. Sci.<br />

Publication. Tehran.<br />

Gibbons WR, Westby CA (1987). Effect of fodder beet cube size on<br />

ethanol production via diffusion fermentation. Biotechnol. Lett. 9(2):<br />

135-138.<br />

Mehdikhani et al. 4105<br />

Grote W, Rogers PL (1985). The susceptibility to contamination of<br />

Zymomonas mobilis process for ethanol production. Ferment<br />

Technol. J. 63: 287-290.<br />

Icoz E, Tuğrul KM, Saral A, Đçöz E (2009). Research on ethanol<br />

production and use from sugar beet in Turkey. Biomass Bioenerg.<br />

33(1): 1-7.<br />

Jones RP, Pamment N, Greenfield PF (1981). Alcohol fermentation by<br />

yeasts-the effect of environmental and other variables. Process<br />

Biochem. 16: 42-49.<br />

Khajehpour MR (2006). Production of industrial plants. Third edition.<br />

Industrial University of Esfahan press. Esfahan. Iran. p. 121.<br />

Koga N (2008). An energy balance under a conventional crop rotation<br />

system in Northern Japan: Perspectives on fuel ethanol production<br />

from sugar beet. Agric. Ecosyst. Environ. 125: 101-110.<br />

Kosaric N, Wieczorek A, Kliza A (1983). Ethanol production from fodder<br />

beet. Biotechnol. Bioeng. 25(7): 1737-1745.<br />

Linko P, Hakulin S, Linko YY (1983). Extrusion cooking of barley starch<br />

for the production of glucose syrup and ethanol. Cereal Sci. J. 1: 275-<br />

284.<br />

Mesbahi GR (2003). Principles of sugar production industries. First<br />

Edition. Agricultural Sciences Publications. Tehran. Iran.<br />

Miyamoto K (1997). Renewable biological systems for alternative<br />

sustainable energy production (FAO Agricultural services Bulletin). p.<br />

128.<br />

National Research Council (2000). Bio-based Industrial Products-<br />

Priorities for Research and Commercialization. National Academy<br />

Press, Washington, DC.<br />

Parvin P (2010). Report of biofuels production and consume in Iran and<br />

the world. Iranian J. Agr. Food Ind. 53: 15.<br />

Renewable Fuel Standard Program (RFS2) (2010): Final Rule. U.S.<br />

Environmental Protection Agency.<br />

SAS (1995). SAS User’s Guide. SAS Institute Inc., Gary, NC.<br />

Singh D, Dahiya JS, Nigam P (1995). Simultaneous raw starch<br />

hydrolysis and ethanol fermentation by glucoamylase from<br />

Rhizoctonia solani and Saccharomyces cerevisiae. J. Basic<br />

Microbiol. 35: 117-121.<br />

Srivastava H, Sharma M, Bhargava VK (2008). Genetic potential of<br />

sugar beet genotypes for ethanol production under different agroclimatic<br />

condition of India. 11th IIRB Congress.<br />

Theurer JC, Doney DL, Smith GA, Lewellen RT, Hogaboam GJ,<br />

Bugbee WM, Gallian JJ (1987). Potential Ethanol Production from<br />

Sugar Beet and Fodder Beet. Crop Sci. Soc. Am. 27: 1034-1040.<br />

USDA (2008). Agricultural Statistics. United States Government Printing<br />

Office, Washington, DC. ARS Publication. Wide Cross. htm. Available<br />

online,<br />

Venturi P, Venturi G (2003). Analysis of energy comparison for crops in<br />

European agricultural systems. Biomass Bioenerg. 25: 235-255.<br />

Zayed G, Foley J (1987). The influence of fermentation conditions on<br />

ethanol yields from sugar beet molasses and fodder beet juice using<br />

Saccharomyces cerevisiae strains. Irish J. Food Sci. Technol. 11: 19-<br />

133.<br />

Zhan X, Wang D, Tuinstra MR, Bean S, Seib PA, Sun XS (2003).<br />

Ethanol and lactic acid production as affected by sorghum genotype<br />

and location. Ind. Crop Prod. 18: 245-255.


African Journal of Biotechnology Vol. 10(20), pp. 4106-4113, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2211<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Modeling and experiment to threshing unit of stripper<br />

combine<br />

Xu Lizhang* and Li Yaoming<br />

Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education and Jiangsu Province, Institute<br />

of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.<br />

Accepted 7 April, 2011<br />

The aim of this study was to establish the mathematical models to axial threshing unit of stripper<br />

combine harvester. The exponential distribution model of the un-threshed grain Tu ( z ) , free grain Tf ( z )<br />

and cumulative gain F( z ) along the axial threshing drum z ∈ [0, L]<br />

was obtained. The loss of<br />

separation L f was the free grain which had reached the end of the threshing unit but still not<br />

separated. On the designed testing equipment, experiments of threshing performances were conducted<br />

with the different feed rates and drum rotator speeds for the rice stripped mixtures. Experimental<br />

results showed that the distribution of the cumulative separated gain was in agreement with the<br />

simulation. The results were very useful for practical analysis of grain separation and damage as well<br />

as for threshing unit design and process optimization.<br />

Key words: Stripping, combine harvester, threshing unit, model, experiment.<br />

INTRODUCTION<br />

The stripper combine is combined with a stripper header.<br />

And the basic concept of the stripper header is that a<br />

rearwards rotating rotor fitted in the front of the header is<br />

fitted with 6 to 8 rows of stripping fingers that strip grain<br />

from the crop as the combine moves the head forwards<br />

while it spins backwards (Price,1993; Jiang et al., 2001).<br />

The speed of the rotor can be varied according to crop<br />

conditions. Those stripped by stripping fingers was called<br />

the stripped mixtures, which include the free grain, the<br />

un-threshed grain and some straws etc. For this reason,<br />

characteristic of the stripped mixtures which was fed into<br />

the threshing unit of the stripper combine through the<br />

feeder house was quite different from the material fed into<br />

the threshing unit of conventional combine harvester.<br />

A scientific model which can describe the threshing<br />

process is extremely important to study threshing unit.<br />

Based on the view of mechanics, Trollope (1982) deduced<br />

a set of differential equations which describe the<br />

threshing process, but it is difficult to apply.<br />

*Corresponding author. E-mail: lzxu1979@gmail.com. Tel: +86-<br />

0511-88797214-219. Fax: +86-0511-88780175.<br />

On the assumption of the rule of threshing process, which<br />

meets the qualification of exponential distribution, Huynh<br />

(1982) established a mathematical model, however, it is<br />

too simple and experiential, and it has great differences<br />

with the actual situation. Taking into account the<br />

parameters of threshing process, and properties of gain,<br />

a rather nice probability model of the threshing cylinder<br />

with rasp bar was published (Wan et al., 1990; Zhou et<br />

al., 1998; Yin, 1999).<br />

Miu (2002 a, b) presented a more detailed model of the<br />

axial threshing unit of the conventional combine harvester,<br />

but it is not completely suitable for the threshing unit<br />

of stripper combine. Specific objectives of the work reported<br />

in this study were to: (1) establish a mathematical<br />

model for describing the threshing process; (2) perform<br />

experimental studies on the designed equipment for<br />

threshing performance; (3) simulation by computer on the<br />

mathematical model.<br />

Model development<br />

As shown in Figure 1, a threshing separation unit is in<br />

common use in the stripper combine harvester. The sign


l<br />

rotor<br />

concave<br />

L<br />

straw export<br />

Lizhang and Yaoming 4107<br />

o z<br />

feeding<br />

Figure 1. Schematic diagram of axial threshing unit.<br />

“l ” denotes the breadth of the entrance of the unit and<br />

“L” denotes the length of the threshing platen. Taking the<br />

point of intersection between the axial line of the platen<br />

and the side face of the entrance as the origin, the central<br />

axis of platen is defined as the z axes and the direction of<br />

axial movement of the grain is set for the plus direction of<br />

the z axes.<br />

Assume that the feed rate of the mixture is constant;<br />

the mass of the mixture fed into the threshing unit per<br />

second is 1, then:<br />

z<br />

z ) = ( k 1 + k )<br />

(1)<br />

l<br />

q s ( 2<br />

Where, qs (z ) is the mass of grain fed into the threshing<br />

unit per second over the interval [0,z], z ∈ [ 0,<br />

l]<br />

; k1 is the<br />

percentage of the free grain, which has been threshed<br />

but not separated, in the total mass of the mixture and<br />

k2 is the percentage of the un-threshed grain, which has<br />

not been threshed, in the total mass of the mixture.<br />

Experimental results shows that the mixture in threshing<br />

space includes the free grain (60 to 70%), the unthreshed<br />

grain (15 to 25%) and the straw (about 10 to<br />

20%). Therefore, the threshing process of the rice<br />

stripped mixtures includes two parts. One, the unthreshed<br />

grain are threshed, the other is the free grain<br />

separated form the concave during screwing with the<br />

rotator.<br />

Development of the model is based on the following<br />

assumptions: (1) the probability of grain threshed and<br />

separated during the threshing space is equal in the<br />

plane through the arbitrary point of the z axis; (2) within<br />

the region from z to z+ ∆ z , the probability of threshing for<br />

the un-threshed grain is in direct proportion to the amount<br />

of the un-threshed grain. And the proportion coefficient,<br />

named as 1 u , is related to the parameters, such as the<br />

rotator speed, the cylinder-concave clearance, the structure<br />

of concave and the properties of the grain etc; (3)<br />

within the region z to z+ ∆ z , the probability of separating<br />

form the concave for the free grain is in direct proportion<br />

to the amount of the free grain. And the proportion<br />

coefficient, named as u 2 , is also related to the parameters<br />

such as the rotator speed, the cylinder-concave<br />

clearance, the structure of concave and the properties of<br />

the grain etc.<br />

According to assumptions (1) and (2), if ∆z ->0, then:<br />

[ 1 P(<br />

z)<br />

]<br />

p1( z)<br />

u1<br />

− 1<br />

= (2)<br />

Where, 1( ) z p is the probability of grain threshing at a z<br />

point and 1( ) z P is the mass of the threshed grain within<br />

the region from 0 to z, So:<br />

∫<br />

P ( z)<br />

p ( s)<br />

ds<br />

(3)<br />

1<br />

= z<br />

0<br />

1<br />

It can be obtained as follows:<br />

p ( z)<br />

1<br />

−u1z<br />

= u1e<br />

(4)


4108 Afr. J. Biotechnol.<br />

Similarly, it is known:<br />

p ( z)<br />

2<br />

u<br />

e<br />

−u2<br />

z<br />

= 2<br />

(5)<br />

Where, 2 ( ) z p is the probability of free grain separating<br />

out of the concave at z point; At z ∈[ 0,<br />

l]<br />

is the mass of<br />

the un-threshed grain is equal to subtraction of the<br />

threshed mass from the fed-in mass:<br />

T<br />

u1<br />

( z)<br />

z<br />

z z −u<br />

s z<br />

1<br />

−u1z<br />

= k2<br />

− k2<br />

u1e<br />

ds = k2<br />

e<br />

l l ∫ (6)<br />

l<br />

0<br />

Where, 1( ) z Tu is the mass of the un-threshed grain at<br />

z ∈ [ 0,<br />

l]<br />

.<br />

Similarly, when z ∈ [ l,<br />

L]<br />

, the equation can be expressed<br />

as follows:<br />

T<br />

u2<br />

( z)<br />

z<br />

−u1<br />

( s−l<br />

)<br />

−u1z<br />

= k 2 − Tu1(<br />

l)<br />

∫ u1e<br />

ds = k 2e<br />

(7)<br />

0<br />

Where, 2 ( ) z Tu is the mass of the un-threshed grain;<br />

z ∈ [ l,<br />

L]<br />

.<br />

If z= L, then:<br />

L<br />

t<br />

−u1L<br />

= Tu<br />

2 ( L)<br />

= k2e<br />

(8)<br />

Where, L t is the loss of the un-threshed.<br />

According to the probability theory, the probability of<br />

grain separation is equal to the convolution of the<br />

probability of the un-threshed grain threshing and the<br />

probability of the free grain through which the concave<br />

occurs (Miu, 2002b). As z ∈ [ 0,<br />

l]<br />

:<br />

z z uu z z<br />

f ( z) = k p( z) ∗ p ( z) + k p( z) = k ( e − e ) + k ue<br />

1 2 −u2 z −uz 1 −u2<br />

z<br />

1 2 1 2 1 2 2 1 2<br />

l l u1 −u2<br />

l l<br />

Where, f ( ) is the probability of grain separation;<br />

z ∈ [ 0,<br />

l]<br />

.<br />

Integrate:<br />

F(<br />

z)<br />

1<br />

1 z<br />

k z<br />

[ u1(<br />

1−e<br />

u −u<br />

l<br />

) −u<br />

( 1−e<br />

z<br />

)] + k1<br />

( 1−e<br />

l<br />

)<br />

(9)<br />

2<br />

−u2z<br />

−u1z<br />

−u2z<br />

= (10)<br />

1<br />

2<br />

2<br />

Where, 1( ) z F is the cumulative mass of the separating<br />

grain; z ∈ [ 0,<br />

l]<br />

.<br />

Similarly, when [ l,<br />

L]<br />

z ∈ :<br />

k2<br />

−u2z<br />

−u1<br />

z<br />

−u2z<br />

F2(<br />

z)<br />

= [ u1(<br />

1−e<br />

) −u2(<br />

1−e<br />

)] + k1(<br />

1−e<br />

) (11)<br />

u −u<br />

1<br />

2<br />

Where, 2( ) z F is the cumulative mass of the separated<br />

grain; z ∈ [ l,<br />

L]<br />

.<br />

The grain of the rice stripped mixtures which fed into the<br />

threshing unit finally is divided into three parts: the unthreshed<br />

grain, the free grain and the separated grain.<br />

Hence:<br />

⎧<br />

⎪<br />

⎨<br />

⎪<br />

⎩<br />

z<br />

Tu1(<br />

z)<br />

+ Tf<br />

1(<br />

z)<br />

+ F1(<br />

z)<br />

= ( k1<br />

+ k2)<br />

l<br />

T ( z)<br />

+ T ( z)<br />

+ F ( z)<br />

= k + k<br />

u2<br />

f 2<br />

2<br />

1<br />

2<br />

( z∈[<br />

0,<br />

l])<br />

( z∈[<br />

l,<br />

L])<br />

(12)<br />

Where, T f ( ) , ( ) are the free grain corresponding<br />

1 z<br />

T f 2 z<br />

to different positions z over the rotor length.<br />

Hence:<br />

⎧<br />

⎪T<br />

⎪<br />

⎨<br />

⎪T<br />

⎪⎩<br />

f 1<br />

f 2<br />

z<br />

( z)<br />

= [ k<br />

l<br />

( z)<br />

= k<br />

2<br />

2<br />

u1<br />

u −u<br />

u1<br />

( e<br />

u − u<br />

1<br />

1<br />

2<br />

2<br />

( e<br />

−u2z<br />

−u2z<br />

−e<br />

− e<br />

−u1z<br />

−u1z<br />

) + k e<br />

) + k e<br />

−u2z<br />

1<br />

−u2z<br />

1<br />

]<br />

(13)<br />

The free grain which has reached the end of the<br />

threshing unit but still not separated is called the loss of<br />

separation:<br />

L<br />

u<br />

1 −u2L<br />

−u1L<br />

−u2L<br />

f = Tf<br />

2 ( L)<br />

= k2<br />

( e − e ) + k1e<br />

(14)<br />

u1<br />

−u2<br />

Where, L f is the loss of separation.<br />

MATERIALS AND METHODS<br />

Experimental equipment<br />

The testing equipment of axial threshing unit includes rice stripped<br />

mixtures conveyor, feeding unit, threshing unit, data acquisition and<br />

control system etc., as shown in Figure 2. The rice stripped<br />

mixtures conveyor, feeding unit and threshing unit are driven by<br />

different electromotor whose rotator speed are controllable. The<br />

structural parameters such as the cylinder-concave clearance,<br />

height and screwing angle of the oriented board on the cover


Lizhang and Yaoming 4109<br />

Figure 2. Schematic on testing equipment of axial threshing unit. 1, stripped mixture conveyor; 2, intakes; 3, feeding chain; 4, swath<br />

deflector; 5, threshing drum cover; 6, threshing drum; 7, separation concave; 8, frame; 9, straw outtake; 10, grain box; 11, valve handle;<br />

12 straw boxes.<br />

Figure 3. Distribution of spike tooth on threshing drum.<br />

threshing element are adjustable. The sensor is installed to inspect<br />

the rice stripped mixtures conveyor speed, while sensors of rotate<br />

speed and torque are installed on the axis of feeding chain wheel<br />

and threshing drum. The side boards consist of transparent glass,<br />

so it is convenient to observe movements of grain in the test device<br />

(Xu, 2003).<br />

In order to keep the environment of field, structure and motion<br />

parameters suitable, the testing are similar to the 4LGT-150 stripper<br />

combine harvester in marketing. Variety: late japonica rice; thousand<br />

grain weight: 29.4 g; mass percentage of the free grain in the rice<br />

stripped mixtures: 65%; mass percentage of the un-threshed grain<br />

in the rice stripped mixtures: 20%; mass percentage of the straw in<br />

the rice stripped mixtures: 15%; moisture content of mixture: 37.2%;<br />

moisture content of grain: 24.3%; moisture content of straw: 61.2%;<br />

rotor radius: 297mm; entrance breadth ( l ):480 mm; whole rotor<br />

length ( L ):1580 mm; threshing element: spike tooth (distribution of<br />

spike tooth is shown in Figure 3); number of tooth bar: 6; cylinderconcave<br />

clearance: 8 mm; concave style: grid concave; concave<br />

enveloping angle: 220°; conveyor speed: 1 m/s; feeding chain wheel<br />

rotate speed: 466 r/min.<br />

Experimental methods<br />

The whole length of threshing rotor was divided into 10 testing<br />

zones, the entrance breadth 5 equally uniforms and the rest 5<br />

equally divvied, as shown in Figure 4. The testing arrangements


4110 Afr. J. Biotechnol.<br />

Figure 4. Distribution of the testing zones.<br />

Table 1. Experimental result of the threshing unit.<br />

Serial<br />

number<br />

Feed rate /kg.s -<br />

1<br />

Rotator rotate speed<br />

/r.min -1<br />

Separation loss<br />

rate/%<br />

Un-threshed loss<br />

rate/%<br />

Total loss<br />

rate/%<br />

1 1.5 750 0.154 0.304 0.458<br />

2 1.5 850 0.158 0.226 0.384<br />

3 1.5 950 0.161 0.172 0.333<br />

4 1.8 750 0.206 0.544 0.75<br />

5 1.8 850 0.212 0.376 0.588<br />

6 1.8 950 0.223 0.208 0.431<br />

7 2.0 750 0.328 0.51 0.838<br />

8 2.0 850 0.344 0.448 0.792<br />

9 2.0 950 0.338 0.244 0.582<br />

were carried out on three feed rates and three rotate speeds, as<br />

listed in Table 1. Each group repeats 3 times.<br />

Before the test begin, the rice stripped mixtures of certain mass<br />

are uniformly placed on the conveyer 30 m long. In the process of<br />

test, the rice stripped mixtures were fed into the threshing space, in<br />

which the un-threshed grain is threshed and the free grain is<br />

separated through feeding chain. Grains from the concave grate<br />

drop into the testing zone of the grain box. The ejection from the<br />

threshing unit falls into the straw box with the straw, from which the<br />

un-threshed loss and the separation loss can be obtained.<br />

s<br />

Separation loss rate s 100%<br />

T<br />

L = × (15)<br />

W<br />

Where, T s is the mass of the un- separation grain and W is the<br />

mass of the total grain including un- separation grain and unthreshed<br />

grain.<br />

Un-threshed loss rate:<br />

Tu<br />

L t = × 100%<br />

(16)<br />

W<br />

Where, T u is the mass of the un-threshed grain.<br />

Total loss rate:<br />

Lto = Lt + Ls<br />

(17)<br />

RESULTS AND DISCUSSION<br />

Experimental analysis<br />

The experimental results on the rice stripped mixtures to<br />

the threshing unit are listed in Table 1 with three different<br />

feed rate and three levels of the rotate speeds of the<br />

threshing drum.<br />

It is known from the table that: (1) at the same feed<br />

rate, rotate speed of threshing drum has an obvious<br />

effect to the loss rate of un-threshed and the higher the<br />

rotate speed is, the smaller the un-threshed loss rate. But<br />

it is unobvious to the loss rate of separation; (2) on the<br />

condition that other parameters do not change, the feed


Cumulative mass percent /%<br />

A<br />

B<br />

Figure 5. Axial distribution of grain and straw.<br />

rate of the rice stripped mixtures into the threshing unit<br />

has a remarkable effect on the un-threshed loss rate and<br />

separation loss rate and the larger the feed rate is, the<br />

bigger both the loss rate increase accordingly.<br />

As feed rate is 1.8 kg/s and rotate speed of threshing<br />

drum is 850 r/min, the axial distribution of the grain in<br />

testing zone is shown in Figure 5. It can be deduced from<br />

the figure that: (1) as shown in Figure 5a, the grain<br />

separated from the concave grate increases rapidly in<br />

width of the feeding entrance and reaches maximum at<br />

the center point of the entrance, then reduces fast. The<br />

curve of grain falls slowly in the rest length, which tends<br />

to zero by the end of the threshing drum axis. It means<br />

that the loss of grain is little. The distribution of the straw<br />

separated from the concave grate is average along the<br />

whole length; (2) it is known from Figure 5b that, about<br />

70% of the grain has been separated during width of the<br />

feeding entrance (1/3 whole length). If no measure is<br />

adopted, the load to cleaning must be uneven, so that the<br />

cleaning performances become worse.<br />

Simulation analysis<br />

Lizhang and Yaoming 4111<br />

As feed rate is 1.8 kg/s and rotate speed of threshing<br />

drum is 850 r/min according to the test, it can be<br />

observed that the un-threshed loss rate is 0.376% and<br />

the separation loss rate is 0.212%, then solving equation<br />

(8) and (14), it is obtained as follows:<br />

u 1 =2.5151; 2<br />

u =6.994. (18)<br />

Where, l =480 mm; L =1580 mm; k 1 =65% and<br />

k 2 =20%.<br />

Using equations (1), (6), (7), (10), (11) and (13),<br />

simulations are conducted by computer, as shown in<br />

Figure 6. It is known from the simulation that: (1) the<br />

cumulative mass of the separated grain increased rapidly<br />

as exponential curve during the entrance of the mixture,<br />

after which, curve of the mass went gentle gradually. In


4112 Afr. J. Biotechnol.<br />

Figure 6. Variation of the indices of threshing process.<br />

the whole drum, nearly 70% of the grain has been<br />

separated in the anterior part of one third of the whole<br />

length, which is in agreement with the experimental<br />

results, as shown in Figure 5b; (2) at first, the mass of the<br />

free grain in the threshing space increases continuously<br />

and it reaches maximum at the end of the feeding<br />

entrance, then it decreases gradually. By the end of the<br />

threshing drum, the value of the free grain mass is called<br />

the loss of separation; (3) comparatively, the mass of the<br />

un-threshed grain in the threshing space changes slowly,<br />

it also increases firstly and then reduces, which only<br />

accounts for 20% in the rice stripped mixtures. So, it<br />

seems small comparatively. By the end of the threshing<br />

drum, the value of the un-threshed grain mass is called<br />

the loss of un-threshed.<br />

Conclusion<br />

In this study, a mathematical model of threshing unit with<br />

axial feeding of the stripper combine is established with<br />

the method of probability and simulations are also<br />

conducted. The simulations show the variation of the<br />

indices of threshing process along threshing drum axis,<br />

including un-threshed gain, free gain and cumulative<br />

separated gain. On the self-designed testing equipment,<br />

experiments on threshing performance with different feed<br />

rate and drum rotator speed are conducted for the rice<br />

stripped mixtures. Experimental results show that, the<br />

distribution of the cumulative separated gain is in<br />

agreement with the simulation. It is known from the test<br />

that about 70% of grain is separated in the width of<br />

feeding entrance, so the measures must be taken to<br />

make the cleaning loads even. It is helpful for a better<br />

understanding of threshing processes in axial units and<br />

significant for the design of the threshing unit of the<br />

stripper combine.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by a grant from the National<br />

Natural Science Foundation of China (No. 50475123),<br />

high-tech key laboratory of agricultural equipment &<br />

intelligentization of Jiangsu province (No. BM2009703 )<br />

and A Project Funded by the Priority <strong>Academic</strong> Program<br />

Development of Jiangsu Higher Education Institutions<br />

(PAPD). The authors would like to thank the reviewers for<br />

their helpful suggestions on the manuscript.<br />

REFERENCES<br />

Huynh VM (1982). Threshing and separating process-a mathematical<br />

model. Trans. ASAE, 25(1): 65-73.<br />

Jiang YY, Xu JM, Zhang HY Jiang EC (2001). Rice (Wheat) combine<br />

harvester with cutting and windrowing straw immediately after<br />

stripping. Trans. CSAE, 17(1):64-68.<br />

Miu PI (2002a). Mathematical model of threshing process in an axial<br />

unit with tangential feeding. CSAE, (2): 212-219.<br />

Miu PI (2002b). Kinematics model of material movement through an<br />

axial threshing unit. ASAE meeting, Paper Number: 023052.


Price JS (1993). Evaluation of approach to early separation of grain<br />

thresher by a stripping rotor. Agric. Eng. Resour. (56): 65-79.<br />

Trollope JR (1982). A mathematical model of the threshing Process in a<br />

conventional combine-thresher. J. Agric. Eng. Res. (2): 119-130.<br />

Wan JB, Zhao XD, Zhao JH (1990). Mathematic model and application<br />

of conventional threshing unit. Trans. Chin. Soc. Agric. Machinery, 2:<br />

21-28<br />

Xu LZ (2003). Simulation and test research on threshing unit of stripping<br />

combine. Zhen jiang. Jiangsu University.<br />

Lizhang and Yaoming 4113<br />

Yin HQW (1999). Structure technology analyzing of threshing unit. Agric.<br />

Mechanization Studying, (4): 42-44.<br />

Zhou XC, Zhao HH, Qiao XM (1998). Test research of grain axial<br />

threshing unit. Agric. Food Machinery, (3): 4-6.


African Journal of Biotechnology Vol. 10(20), pp. 4114-4120, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2368<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Yield responses of forage sorghums to salinity and<br />

irrigation frequency<br />

Siti Aishah 1 , H. A. R. Saberi 1 *, R. A. Halim 1 and A. R. Zaharah 2<br />

1 Department of Crop Science, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia.<br />

2 Department of Land Management, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia.<br />

Accepted 18 March, 2011<br />

Water stress restricts crop yield in both the arid and semi-arid zones of the world. In particular, water<br />

stress is associated with low availability of water, as well as osmotic effects associated with salinity.<br />

The response of forage sorghum [Sorghum bicolor (L.) Moench] varieties to salinity and irrigation<br />

frequency were studied from December 2007 to December 2008. Speedfeed and KFS4 were grown<br />

under salinity levels of 0, 5, 10 and 15 dS m -1 and irrigated when the leaf water potential reached -1.0<br />

(control), -1.5 and -2.0 MPa. The irrigation frequency was found to affect growth and yield of the forage<br />

sorghums. When irrigation was delayed in leaf water potential of -1.0 to -2.0 MPa, the yield and yield<br />

components were found to decrease. The maximum dry forage yields were 45.1, 38.9 and 38.5 g plant -1<br />

for frequent, intermediate and infrequent irrigation regimes, respectively. Increased salinity significantly<br />

reduced forage dry yield from 44.09 g plant -1 in the control to 32.76 g plant -1 at salinity of 15 dS m -1 . For<br />

every one unit increase in salinity, the forage yield decreased by 5.2 units and for every one unit<br />

increase in water stress (irrigation frequency), the forage yield decreased by 3.6 units. The variety<br />

Speedfeed had higher total dry mass than KFS4 under well-watered conditions but KFS4 performed<br />

better than Speedfeed under water stress. For both varieties, infrequent watering reduced dry matter<br />

and biomass accumulation, but increased water use efficiency (WUEs) (6.88).<br />

Key words: Salinity, irrigation frequency, dry matter, water use efficiency (WUEs), forage sorghum.<br />

INTRODUCTION<br />

Salinity is one of the most important environmental<br />

factors limiting crop production of marginal agricultural<br />

soils in many parts of the world (Qureshi et al., 2007).<br />

Salts in soil and water can reduce water availability and<br />

this can lead to stressful conditions. Water stress restricts<br />

crop yields, particularly in the arid and semi-arid zones.<br />

However, cultivation under salinity and water stress<br />

conditions is normally practiced for food supply in developing<br />

countries (Munns, 2002). Sorghum has greater salt<br />

and drought tolerances than other summer forages. Only<br />

warm season annual grasses provide substantial forage<br />

yield in a short period of time. There are a number of<br />

potential forage sorghum varieties which may be appro-<br />

*Corresponding author. E-mail: alireza_sa70@yahoo.com.<br />

Abbreviations: LWP, Leaf water potential; FC, field capacity;<br />

PWP, permanent wilting point.<br />

priate for various salinity levels of seawater, but the levels<br />

of salt tolerance among most of the grown forage sorghum<br />

varieties and cultivars have not been adequately<br />

characterized (Qadir and Oster, 2004). The general effect<br />

of salinity is the reduction in growth (Ghoulam et al.,<br />

2002) which resulted from ion toxicity, osmotic stress,<br />

mineral deficiencies, physiological and biochemical<br />

perturbations, as well as the combinations of these<br />

stresses (Munns, 2002; Hasegawa et al., 2000). Due to<br />

low availability of soil moisture from osmotic effects associated<br />

with salinity, water stress occurs during crop<br />

establishment and development. However, where the<br />

growing season is long, tillering varieties of forage<br />

sorghum are able to recover to a certain extent from<br />

water deficits in the early growth periods by forming additional<br />

head-bearing tillers. The resulting yield reduction<br />

can be partly offset by additional head-bearing tillers<br />

(FAO, 2001). Despite significant contributions, earlier<br />

investigations on sorghum were focused primarily on<br />

grain sorghum. Hence, studies are still needed for forage


sorghum to improve the understanding of the effects of<br />

salt and water stresses for different varieties. Many<br />

factors are still needed to be considered when addressing<br />

the suitability of irrigation water with respect to<br />

salinity. Therefore, the objective of this experiment was to<br />

determine the growth responses of two forage sorghum<br />

varieties to different levels of salinity and irrigation<br />

frequency.<br />

MATERIALS AND METHODS<br />

The factorial experiment was conducted under rain shelter at the<br />

University Putra Malaysia (02°N 59.476´ 101°E 2.867´, 51 m<br />

altitude), from December 2007 to December 2008. The climatic<br />

conditions recorded under the rain shelter were 30°C mean temperature,<br />

90% humidity, 4.5 mm evaporation and 72.5% light at 12<br />

am. Two selected (Fouman et al., 2003) salt tolerant varieties<br />

namely Speedfeed and KFS4, of forage sorghum [Sorghum bicolor<br />

(L.) Moench] were subjected to the salinity levels of 0, 5, 10 and 15<br />

dS m -1 of NaCl concentrations, and irrigated when the leaf water<br />

potential (LWP) reached -1.0 (control), -1.5 and -2.0 MPa. KFS4 is<br />

an open pollinated variety from Iran, while Speedfeed is a hybrid<br />

variety originally from Australia.<br />

The treatments were arranged in a randomized complete block<br />

design with three replications. Polybags (40 × 45 cm) were filled<br />

with a mixture of top soil, peat moss and sand at the ratio of 3:2:1<br />

(v/v), respectively. The soil mixture had a pH of 5.4. During mixing,<br />

60 g of CaCO3, 10 g of complete fertilizer (15% N, P2O5, K2O), 1 g<br />

of triple super phosphate (45% P2O5) and 2.4 g of urea (46% N)<br />

were added to each polybag. Soil field capacity (FC) and<br />

permanent wilting point (PWP) were measured based on pressure<br />

plat and pressure membrane procedures outlined by Richards<br />

(1947), before and after the end of the experiment. Soil moisture<br />

was determined by gravimetric method (Muhammad et al., 2008).<br />

The plants were irrigated with non-saline water for seedling<br />

establishment and with saline water starting from 2 weeks after<br />

germination according to the treatments. Plants were harvested at<br />

pre flowering stage and washed with deionized water. Leaves,<br />

stems and roots were separately weighed and dried at 75°C for 48<br />

h for dry mass determination. Forage weight was calculated based<br />

on cumulative shoot dry weight. Irrigation treatments were applied<br />

based on leaf water potential (-1, -1.5 and -2 MPa) using the<br />

pressure chamber (Santa, Barbara, CA, USA). When leaf water<br />

potential reached the considered potential, the soil samples were<br />

taken. The amount of water required for the respective irrigation<br />

treatment was calculated using the following equation (Muhammad<br />

et al., 2008):<br />

V = SMD × A<br />

Where, V = volume of water to be applied (litre); A = polybag area<br />

= חr 2 .<br />

SMD = ( FC θ<br />

θ<br />

- i ) D Bd /100<br />

θ<br />

SMD = soil moisture deficit; FC = gravimetric soil moisture<br />

content at field capacity (%);<br />

θ i = soil moisture content before irrigation (%); D = rooting depth<br />

(cm); Bd = bulk density (1.5 g cm -3 in this soil).<br />

Water use efficiency (WUE) was determined by dividing the total<br />

dry forage by the volume of irrigation water applied in each<br />

treatment during the experimental period. The data were subjected<br />

Aishah et al. 4115<br />

to analysis of variance (ANOVA) using the Statistical Analysis<br />

System (SAS) procedure. Treatment means were compared using<br />

least significant differences (LSD) at the 5% (P ≤ 0.05) probability<br />

level. Regression analysis was used to determine the relationship<br />

among variables and salinity levels.<br />

RESULTS AND DISCUSSION<br />

The irrigation frequency and salinity affect growth and<br />

yield of forage sorghums. The above ground part which is<br />

important in forage sorghum was highly affected by the<br />

main factor, while the total dry weight was significantly (P<br />

< 0.01) influenced by the interaction of salinity, irrigation<br />

and variety (Table 1).<br />

The total dry mass of both varieties declined as salinity<br />

level increased and water regime decreased (Figure 1).<br />

Salinity may affect the growth by creating an external<br />

osmotic potential that prevents water uptake or due to the<br />

toxic effects of Na + and Cl - ions on the plant, it affects the<br />

uniformity of plant density with negative effect on yield<br />

(Okcu et al., 2005). Our result is also in agreement with<br />

Munns (2002). Between varieties tested, the interaction<br />

effect was more significantly pronounced on the<br />

Speedfeed. This was shown by 41.5% decreased in its<br />

biomass under normal irrigation with increasing salinity to<br />

15 dS m -1 (Figure 1B) as compared to 30.5% for the<br />

KFS4 (Figure 1A). At other levels of irrigation (irrigation at<br />

-1.5 and -2 Mpa), from 0 to 15 dS m -1 , the Speedfeed<br />

biomass decreased by 23.8 and 24.1%, respectively.<br />

Whereas for the KFS4, the greatest biomass differences<br />

between irrigation regimes in respect to salinity, were<br />

found only at the highest salinity level. This response<br />

would indicate that the KFS4 variety is more tolerant to<br />

stress conditions than the Speedfeed. Furthermore,<br />

based on varietal characteristic, their total biomass is not<br />

significantly different from each other (Table 1).<br />

Although irrigation and salinity had highly significant<br />

effects on dry forage yield and root growth, an interaction<br />

effect was only found between irrigation and variety.<br />

Irrespective of variety, the dry forage decreased linearly<br />

with increasing salinity (Figure 2A). A similar result was<br />

reported by Hester et al., (2001) who indicated that the<br />

crop yield performance decreased markedly with the<br />

increase in the concentration of salt. A linear reduction<br />

due to salinity was also found on root mass (Figure 2B).<br />

Based on varietal responses (Table 2), Speedfeed was<br />

more sensitive to water stress as indicated by a<br />

significant reduction in its dry root and dry forage. The<br />

impact on Speedfeed however was greatly shown only<br />

when the irrigation schedule changed from -1 to -1.5 Mpa<br />

and as a result, the forage yield decreased by 22.2% and<br />

roots declined by 29.4%. However, further delay in<br />

irrigation did not show any significant reduction in both<br />

parameters. For KFS4, irrigation schedule did not affect<br />

its forage yield and root growth. This characteristic may<br />

contribute favourably to the persistence of this species in<br />

saline soils under natural condition. In irrigated agriculture,


4116 Afr. J. Biotechnol.<br />

Table 1. Effects of varieties, irrigation and salinity on dry matter yield and root-to-shoot ratio.<br />

Source / Treatment<br />

Dry root<br />

(g plant -1 )<br />

Dry forage<br />

(g plant -1 )<br />

Total dry weight (g<br />

plant -1 )<br />

Root to<br />

shoot ratio<br />

Variety<br />

KFS4 7.47a z 42.25a 49.72a 0.176b<br />

Speedfeed 7.96a 39.41b 47.42a 0.201a<br />

LSD 0.59 2.66 3.23 0.021<br />

Irrigation frequency (MPa)<br />

at LWP -1.0 8.60a 45.12a 53.729a 0.731a<br />

at LWP -1.5 7.41b 38.88b 46.298b 0.611b<br />

at LWP -2.0 7.13b 38.48b 45.624b 0.631b<br />

LSD 0.76 3.42 4.164 0.024<br />

Salinity (dS m -1 )<br />

0 8.93 a 45.73 a 54.669 a 0.657b<br />

5 8.97 a 43.61a 52.592 a 0.736a<br />

10 7.27 b 39.79b 47.073 b 0.653a<br />

15 5.68 c 34.17c 39.867 c 0.591b<br />

LSD 0.91 4.08 4.963 0.029<br />

F value<br />

V*I 5.91** 4.37* 15.66** 75.29**<br />

V*S 0.07 ns 0.03 ns 1.38 ns 17.84**<br />

I*S 0.27 ns 0.29 ns 0.75 ns 15.04**<br />

V*I*S 0.75 ns 0.70 ns 3.08** 22.42**<br />

Error and CV<br />

Error (MS) 1.57 31.43 46.43 0.001<br />

CV (%) 16.25 13.73 14.03 6.08<br />

z Means with same letter within a column are not significantly different at 5% level by LSD. V1 = KFS4, V2 =<br />

Speedfeed; S1, S2, S3 and S4 = salinity 0, 5, 10 and 15 dS m -1 , respectively; I1, I2 and I3 = irrigation<br />

frequency when the LWP reach -1, -1.5 and -2MPa, r<br />

salt would normally be leached from the surface at<br />

sowing, and in dry-land agriculture, the crop is normally<br />

planted after rain (Serraj and Sinclair, 2002).<br />

Unlike the dry forage yield and roots, root to shoot ratio<br />

of both forage varieties responded differently to salinity<br />

and irrigation. The root shoot ratio at normal irrigation<br />

exhibited by KFS4 (Figure 3A) seems to be opposite to<br />

Speedfeed (Figure 3B). The root shoot ratio of KFS4<br />

irrigated at normal frequency was lower than plants under<br />

water stress conditions at all levels of salinity. This<br />

phenomenon is a normal plant growth reaction towards<br />

water stress conditions. On the other hand, the root-toshoot<br />

ratio of well-watered Speedfeed was higher than<br />

that under infrequent irrigation. The higher root-to-shoot<br />

ratio of KSF4 under water stress would probably explain<br />

the better performance of KFS4 under water stress<br />

conditions.<br />

Table 3 shows that infrequent irrigations gave higher<br />

WUE’s when compared to frequently irrigated treatments.<br />

In this study, the WUEs obtained for the infrequently<br />

watered plants were higher than earlier reports (Gulzar et<br />

al., 2003; Mustafa and Abdel Magid, 1982). Although<br />

larger volumes of water were used in this investigation as<br />

compared to the two previous reports, the higher WUEs<br />

obtained here might have been due to the reduction of<br />

irrigation by infrequent watering. Irrespective of variety,<br />

the frequently watered plants accumulated greater dry<br />

matter which eventually had produced high dry forage<br />

yield than other irrigation frequencies (Table 3).<br />

The results derived for the irrigation study showed that<br />

despite the possibility of greater surface evaporation with<br />

the light frequent irrigations, sorghum varieties and other<br />

indicators of plant water stress were found to be<br />

improved with low frequent irrigation. Pearson correlation<br />

matrix reveals that most of the studied characters are<br />

significantly and positively correlated, on the other hand,<br />

root to shoot ratio is negatively correlated with all the<br />

factors. Total dry weight is positively correlated with dry


Figure 1. Effect of salinity and irrigation frequency on total dry weight of (A) KFS4 and (B) Speedfeed<br />

(average of two years).<br />

forage, dry stem, dry leaf and dry root (Table 4). Similar<br />

scenario is observed for the forage dry weight with yield<br />

components.<br />

The regression reveals that the forage yield is<br />

significantly and negatively correlated with salinity and<br />

irrigation frequency (F < 0.05). The relationship between<br />

yield, salinity and irrigation frequency was studied, and<br />

Aishah et al. 4117<br />

the regression equation was: Y=-3.277 -5.207X1-3.586X2,<br />

where R 2 = 0.90 (n = 72). For every one unit increase in<br />

salinity (X1), the forage yield would be decreased by 5.2<br />

units and for every one unit increase in water stress (X2),<br />

the forage yield would be decreased by 3.6 units.<br />

Ultimately, when irrigation was delayed from -1 to -1.5<br />

and -2MPa, the forage yields were decreased significantly,


4118 Afr. J. Biotechnol.<br />

Figure 2. Effects of salinity on forage (A) and root dry weight (B) of forage sorghum.<br />

Table 2. Interaction of variety and irrigation on dry root and dry forage mass.<br />

Irrigation schedule<br />

Dry root (g plant -1 ) Dry forage (g plant -1 V1 V2<br />

)<br />

V1 V2<br />

I1 7.97 a 9.98 a z 43.78 a 46.46 a<br />

I2 7.22 a 7.04 b 41.62 a 36.14 b<br />

I3 7.22 a 6.85 b 41.34 a 35.63 b<br />

LSD (%) 1.231 2.131 4.176 7.961<br />

z Means with same letter within a column are not significantly different at 5% level by LSD; V1 = KFS4, V2 =<br />

Speedfeed; I1, I2 and I3 = irrigation frequency when the LWP reach -1, -1.5 and -2MPa, respectively.<br />

regardless of variety from 45.1 to 38.9 and 38.5 g plant –1<br />

for frequent, intermediate and infrequent irrigation<br />

regimes, respectively. The reduction was found to be<br />

mostly between the frequently and the less and least<br />

frequently watered plants which decreased (Table 3).<br />

This finding suggests that in semi-arid environments<br />

(where water saving is very important), if the aim is to get<br />

high WUE, forage sorghum should be irrigated heavily


Figure 3. Root to shoot ratio of KFS4 (A) and Speedfeed (B) as affected by salinity and<br />

irrigation frequency.<br />

Table 3. Effect of irrigation frequency on yield, total amount of water applied and water use efficiency (WUE).<br />

Irrigation<br />

schedule<br />

Days after treatment Dry forage<br />

4 14 22 31 36 41 48 56<br />

Amount of water applied (liter/plant)<br />

yield<br />

(g plant- 1 )<br />

Total<br />

water<br />

used (liter)<br />

Aishah et al. 4119<br />

WUE (g<br />

plant- 1<br />

liter- 1 )<br />

I1 0.5 1 0.96 0.97 1.14 0.97 0.98 1.13 45.12 az 7.65 a 5.88 b<br />

I2 0.5 1 0 1.19 0 1.42 0 1.98 38.88 b 6.10 b 6.35 ab<br />

I3 0.5 1 0 0 2.02 0 0 2.12 38.48 b 5.64 c 6.88 a<br />

LSD (5%) 3.42 0.61 0.60<br />

I1, I2 and I3 are irrigation frequency when the LWP reaches -1, -1.5 and -2MPa, respectively. z Means with same letter within a column are<br />

not significantly different at 5% level by LSD.


4120 Afr. J. Biotechnol.<br />

Table 4. Correlation coefficients between plant weight parameters.<br />

Parameter DR DL DS DF TDW R:SH<br />

DR 1 0.74** 0.86** 0.87** 0.92** -0.28*<br />

DL 1 0.76** 0.87** 0.86** 0.16 ns<br />

DS 1 0.98** 0.97** -0.48**<br />

DF 1 0.99** -0.32**<br />

TDW 1 -0.32**<br />

R:SH 1<br />

**Correlation is significant at the 0.01 level (2-tailed test); DR = dry root, DL = dry leaf, DS = dry<br />

stem, DF = dry forage, TDW = total dry weight, R:SH = root to shoot ratio.<br />

and infrequently. This contradicted the finding by Saeed<br />

and El-Nadi (2004) who recommended using light<br />

frequency to get high WUEs.<br />

Conclusion<br />

Under salinity and water stress conditions, the KFS4<br />

variety has a better vegetative growth performance as<br />

compared to Speedfeed. Infrequent irrigation had<br />

reduced biomass accumulation; the reduction was higher<br />

when low irrigation frequency was coupled with salinity.<br />

Irrigation may be intensified in saline soils to mitigate the<br />

effect of salinity on plant growth. However, there is a<br />

critical level of salinity after which irrigation cannot<br />

mitigate the effect of salinity. The critical level of salinity<br />

for KFS4 was 15 dS m -1 , while for Speedfeed, it was 10<br />

dS m -1 . WUE of forage sorghum could be increased by<br />

infrequent irrigation, and new fields could be well irrigated<br />

by saving water. The results obtained in this study would<br />

serve as a useful guide for managing forage sorghums in<br />

saline and water stressed field conditions.<br />

REFERENCES<br />

FAO STAT (2001). Land and Water division, FAO AGLw, Water, News,<br />

Contacts Agriculture 21 http://www.fao.arg/ag/agl/. Accessed 10<br />

June 2009.<br />

Fouman A, Majidi Heravan E, Nakano Y (2003). Evaluation forage<br />

sorghum varieties for salt tolerance. Proceedings of 7th International<br />

Conference on Development of Dry Lands. 14-17 September 2003,<br />

Tehran (IRAN).<br />

Ghoulam C, Foursy A, Fares K (2002). Effects of salt stress on growth,<br />

inorganic ions and proline accumulation in relation to osmotic<br />

adjustment in five sugar beet cultivars. Environ. Exp. Bot. 47: 9-50.<br />

Gulzar S, Khan MA, Ungar IA ( 2003). Salt tolerance of a coastal salt<br />

marsh grass. Commun. Soil Sci. Plant Anal. 34: 2595-2605.<br />

Hasegawa PM, Bressan RA, Zhu JK, Bohnert H J (2000). Plant cellular<br />

and molecular response to high salinity. Annu. Rev. Plant Physiol.<br />

51: 463-499.<br />

Hester MW, Mendelssohn IA, Mckee KL (2001). Species and population<br />

variation to salinity stress in Panicum hemitomon, Spartina patens<br />

and Spartina alterniflora: Morphological and physiological<br />

constraints. Environ. Exp. Bot. 46: 277-297.<br />

Muhammad A, Haji Kh, Ahmad H, Muhammad A, Ejaz A, Muhammad A<br />

(2008). Effec of available soil moisture depletion levels and topping<br />

treatments on growth rate total dry biomass in chickpea. J. Agric.<br />

Res. 46(3): 229-243.<br />

Munns R (2002). Comparative physiology of salt and water stress. Plant<br />

Cell Environ. 25: 239-250.<br />

Mustafa MA, Abdel Magid EA (1982). Effects of irrigation interval, urea<br />

and gypsum on N, P and K uptake by forage sorghum on highly<br />

saline-sodic clay. Exp. Agr. 18(2): 177-182.<br />

Okcu G, Kaya MD, Atak M (2005). Effects of salt and drought stresses<br />

on germination and seedling growth of pea (Pisum sativum L.). Turk<br />

J. Agric. For. 29(4): 237-242.<br />

Qadir M, Oster JD (2004). Crop and irrigation management strategies<br />

for saline-sodic soils and waters aimed at environmental sustainable<br />

agriculture (p. 19). Sci. Total Environ. Elsevier Press. 323(1-3) 1-19.<br />

Qureshi AS, Qadir M, Heydari N, Turral H, Javadi A (2007). A review of<br />

management strategies for salt-prone land and water resources in<br />

Iran. International Water Management Institute. 30P (IWMI working<br />

paper 125) Colombo, Sri Lanka.<br />

Richards LA (1947). Pressure-membrane apparatus-construction and<br />

use. Soil Sci. 28: 451-454.<br />

Saeed AM, El-Nadi AH (2004). Forage sorghum yield and water use<br />

efficiency under variable irrigation. Irrig. Sci. 18(2): 67-71.<br />

Serraj R, Sinclair TR (2002). Osmolyte accumulation: Can it really help<br />

increase crop yield under drought conditions? Plant Cell Environ. 25:<br />

333-341.


African Journal of Biotechnology Vol. 10(20), pp. 4121-4126, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2406<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Isolation and characterization of a novel sulfuroxidizing<br />

chemolithoautotroph Halothiobacillus from<br />

Pb polluted paddy soil<br />

Jiyan Shi 1 , Huirong Lin 1, 2 *, Xiaofeng Yuan 3 and Yidong Zhao 4<br />

1 Institute of Environmental Science and Technology, Zhejiang University, Hangzhou, 310029, China.<br />

2 Department of Environmental Science and Engineering, Tan Kah Kee College, Xiamen University, Zhangzhou, 363105,<br />

China.<br />

3 Life Science Department, Zhejiang Chinese Medical University, Hangzhou, 310053, China.<br />

4 Institute of High Energy Physics, Chinese Academy of Science, Beijing Synchrotron Radiation Facility, Beijing, 100049,<br />

China.<br />

Accepted 7 April, 2011<br />

A new mesophilic and chemolithoautotrophic sulfur oxidizing bacterium (SOB) strain HT1 was isolated<br />

from a rice rhizosphere soil polluted by Pb using thiosulfate as electron donor at pH 7.0. The 16S rRNA<br />

gene sequence showed that the new isolate was a sulfur oxidizing obligate chemolithotroph belonging<br />

to Gammaproteobacteria, Halothiobacillus and utilizing different reduced sulfur compounds (sulfide,<br />

elemental sulfur, thiosulfate and sulfite) as chemolithotrophic substrates. Strain HT1 was able to use<br />

CO2 as a carbon source responsible for the reduction of nitrate to nitrite, which represented a halophilic<br />

SOB capable of growth within a broad salinity range of 0 to 3 M NaCl and a heavy-metals-tolerant SOB.<br />

HT1 was Gram negative, motile and was proposed as the type strain of a novel species of sulfur<br />

oxidizing bacteria. The soxB gene could not be detected in strain HT1 during thiosulfate oxidation. The<br />

metabolism pathway of HT1 was ‘S4 intermediate’ (S4I) pathway. Sulfur globules accumulated in HT1<br />

were mainly S8.<br />

Keywords: Halothiobacillus, heavy-metals-tolerant, soxB gene, 16S rRNA gene, sulfur globule.<br />

INTRODUCTION<br />

Sulfur oxidizing bacteria play an important role in mineral<br />

cycling in environments. The species of the genus<br />

Thiobacillus include a wide diversity of Gram negative,<br />

rod sulfur oxidizing bacteria which obtain energy from<br />

oxidation of reduced sulfur. They fall into α, β and γ<br />

subclasses of the Proteobacteria and could be classified<br />

as Acidithiobacillus, Halothiobacillus and Thermithiobacillus<br />

(Kelly and Wood, 2000). Biological reduced sulfur species<br />

such as aqueous (hydro) sulfide as well as insoluble<br />

metal sulfides, polysulfides, elemental sulfur, sulfite, thiosulfate<br />

and polythionates are finally oxidized to sulfate, or<br />

more precisely to sulfuric acid. During these processes,<br />

protons are produced. The oxidation of reduced sulfur to<br />

* Corresponding author. E-mail: linhuirong@yahoo.com.cn. Tel:<br />

+86-571-86971424. Fax: +86-571-86971898.<br />

sulfuric acid is of great importance for biohydrometallurgical<br />

technologies. Contrary to its significant role<br />

in the global sulfur cycle and its biotechnological<br />

importance, the microbial fundamentals of sulfur oxidation<br />

are incompletely understood.<br />

Sulfur oxidizing bacterium (SOB) exhibits a wide range<br />

of metabolic flexibility, particularly with respect to processes<br />

involving respiration and energy transduction.<br />

Previous studies concluded that there were at least two<br />

metabolic pathways of SOB during the thiosulfate<br />

oxidation (Friedrich et al., 2001). Some SOB was<br />

involved in the toxicity of heavy metal ion and possesses<br />

unique metabolic and ecophysiological features with<br />

extraordinary properties. Novel SOB with extraordinary<br />

properties was reported (Sorokin et al., 2006; Ghosh and<br />

Roy, 2007). Wood and Kelly (1991) found the first halophilic<br />

SOB capable of growing at very high salt<br />

concentrations (4 M NaCl). Some SOB that is capable of


4122 Afr. J. Biotechnol.<br />

anaerobic growth with sulfur compounds and nitrogen<br />

oxides as electron acceptors play an important role in<br />

mineral cycle.<br />

Herein, we isolated a novel SOB from a Pb polluted<br />

paddy soil. The nearly complete 16 s rRNA gene sequences<br />

and physiological characteristics of the new isolate<br />

were analyzed. Functional soxB gene was detected in<br />

order to investigate its metabolic pathway. Sulfur K-edge<br />

x-ray absorption near edge structure spectroscopy<br />

(XANES) was used to identify the speciation of sulfur in<br />

the cells of HT1.<br />

MATERIALS AND METHODS<br />

Rhizosphere soil of rice was used as the inoculums for enrichment<br />

cultures. Selected physical and chemical properties of the soil used<br />

are: organic matter, 2.26%; pH, 5.63; Pb concentration, 680.09<br />

mgkg -1 ; Zn concentration, 68.96 mgkg -1 ; Cu concentration, 21.10<br />

mgkg -1 ; S concentration, 247 mgkg -1 . Mineral medium used for<br />

enrichment, isolation and cultivation of SOB contained (per liter of<br />

deionised water, added 15 agar for solid medium): Na2HPO4 1.2 g,<br />

KH2PO4 1.8 g, MgSO4·7H2O 0.1 g, (NH4)2SO4 0.1 g, CaCl2 0.03 g,<br />

FeCl3 0.02 g and MnSO4 0.02 g. Ten grams of Na2S2O3 was added<br />

as model sulfur source (Graff and Stubner, 2003). Enrichment of<br />

SOB was conducted with liquid medium on a rotary shaker at 200<br />

rpm at 28°C. For isolation and purification, solid medium was prepared.<br />

0.2 ml of aliquots of the enrichment cultures were transferred<br />

onto the solid medium. The plates were incubated in an incubator at<br />

28°C. Colonies formed on agar plates of the mineral medium were<br />

transferred at least three times to be pure.<br />

DNA of the new isolate -was obtained for amplification and<br />

sequencing of the 16S rRNA gene. The 16S rRNA gene was<br />

amplified with primers BSF8/20: 5'-AGAGT TTGAT CCTGG<br />

CTCAG-3' and BSR1541/20: 5'-AAGGA GGTGA TCCAG CCGCA-<br />

3'. PCR was run using 50 µl reaction volumes and reactant<br />

concentrations in each 50 µl reaction which were 10 to 15 ng of<br />

DNA template, 25 pM of each primer, 2.5 mM deoxynucleotide<br />

triphosphates (dNTPs, Proega, USA), 10×PCR buffer (applied<br />

Biosystems, USA), 0.1 mM MgCl2 solution (Sigma) and 1 U of Taq<br />

polymerase (Applied Biosystems, USA) in nuclease-free water. The<br />

reaction was carried out as follows: 4 min initial denaturation at<br />

94°C, followed by 30 cycles of denaturation at 94°C for 50 s,<br />

annealing at 57°C for 50 s and DNA extension at 72°C for 40 s.<br />

Cycling was completed by a final elongation step of 72°C for 10<br />

min. The PCR product were purified and sequenced by the<br />

Invitrogen Corporation (USA) in China. The nearly complete 16S<br />

rRNA gene sequences of the new isolate were compared using the<br />

BLAST program. A phylogenetic tree was constructed with sequences<br />

aligned with the CLUSTAL X 1.83 and the Paup v.4.0b.8.a<br />

program.<br />

Physiological characteristics were analyzed as described by<br />

Dong and Cai (2001). Cells were suspended in sterile double<br />

distilled water and adhered on copper mesh. Then, the cells were<br />

dyed with 1% uranygl acetate for about 15 s. Transmission electron<br />

microscope (H-7650, HITACHI) was used to observe the morphology.<br />

Different reduced sulfur compounds (thiosulfate, thiocyanate,<br />

elemental sulfur, sulfide, sulfite and tetrathionate) were used to<br />

determine the utilization of substrates as energy sources. The<br />

sulfite solution was prepared in 50 mM EDTA to prevent<br />

autooxidation (Sievert et al., 2000). Nitrogen (nitrate, nitrite) was<br />

used to test as an electron acceptor in the absence of oxygen with<br />

KNO3 and KNO2. Effects of salinity (NaCl) and heavy metal<br />

tolerance (Pb, Zn and Cu) on bacterial growth were examined in<br />

Luria-Bertani medium containing varying concentrations.<br />

PCR amplifications of soxB gene fragments with extracted DNA<br />

were performed as a two-step PCR using the primer sets and<br />

protocols as described by Petri et al., (2001). Sulfur species in the<br />

cell were analyzed by XANES as described by Prange et al., (1999)<br />

at Beijing synchrotron radiation facility, institute of high energy<br />

physics of China. Spectra were recorded at 4B7A beam line and<br />

scanned in the region between 2420 and 2520 eV.<br />

RESULTS AND DISCUSSION<br />

A new isolate using thiosulfate as sulfur was obtained and<br />

named as strain HT1. Colonies grown on mineral medium<br />

with thiosulfate as sulfur source were smooth and whitelight<br />

yellow (1 to 3 mm). The cells of strain HT1 appeared<br />

singly or in pairs and motile with flagellums (Figure 1).<br />

The 16S rRNA genes were amplified using general<br />

bacterial primers. A phylogenetic tree was obtained as<br />

shown in Figure 2. Comparison of the nearly complete<br />

16S rRNA genes showed that strain HT1 was closely<br />

related to Halothiobacillus and belonged to the γ subclass<br />

of the Proteobacteria. Its lineage is Bacteria,<br />

Proteobacteria, Gammaproteobacteria, Chromatiales,<br />

Halothiobacillaceae and Halothiobacillus. The GenBank<br />

accession number for the nearly complete 16S rRNA<br />

gene sequence of Halothiobacillus HT1 is GU013549.<br />

Table 1 shows the physiological characteristics of HT1<br />

when compared with known Halothiobacillus. Reduced<br />

inorganic sulfur compounds sulfide, polysulfides, elemental<br />

sulfur, sulfite and thiosulfate were oxidized as electron<br />

donors for energy by HT1. No growth was observed on a<br />

mineral medium with thiocyanate as energy source.<br />

Under aerobic conditions, the bacterium was able to<br />

grow with nitrate as electron acceptor. However, no<br />

growth was observed with nitrite. It was concluded that<br />

strain HT1 is a nitrate to nitrite reducer and can serve as<br />

a nitrite provider. The isolate grew autotrophically on<br />

thiosulfate and can use carbon dioxide as carbon source.<br />

HT1 was capable of adapting to high salt (3 M) and could<br />

use CO2 as a carbon source, suggesting that it possessed<br />

carboxysomes that contain enzymes involved in<br />

carbon fixation (Tsai et al., 2007).<br />

HT1 could grow in 621 mg.kg -1 of Pb 2+ , 192 mgkg -1 of<br />

Cu 2+ and 325 mgkg -1 of Zn 2+ , respectively, showing<br />

relatively high tolerance of heavy metals. Possible toxicity<br />

and mechanisms of resistance to Cu have been studied<br />

in Sulfolobus solfataricus and Sulfolobus metallicus<br />

(Ettema et al., 2006; Remonsellez et al., 2006). Microbial<br />

sulfur oxidation is of great importance in influencing the<br />

transformation of heavy metals. This useful application<br />

requires heavy-metals-tolerant SOB which can grow in<br />

heavy metals polluted environment. They may possess<br />

genetic determinants for metal resistance encoding<br />

bacterial metallothioneins and heavy metal-transporting<br />

ATPases to exist in toxic heavy metal ions and contribute<br />

to sulfur oxidation (Auernik et al., 2008).<br />

As a result of the phylogenetic and physiological diversity<br />

of sulfur oxidizing bacteria, several different enzymatic


Figure 1. Morphology of cells of strain HT1 grown in LB medium. (a) In pair; (b) in<br />

pair with flagellums; (c) single.<br />

Shi et al. 4123


4124 Afr. J. Biotechnol.<br />

10<br />

65<br />

Escherichia coli MC4100<br />

100<br />

60<br />

100<br />

Acidithiobacillus thiooxidans FJ172634<br />

Acidithiobacillus ferrooxidans FJ157225<br />

Thiomicrospira thyasirae NR_024854<br />

87<br />

Thiomicrospira halophila DQ390450<br />

Thiomicrospirasp AB301715<br />

Thiofaba tepidiphila AB304258<br />

99<br />

100<br />

97<br />

89<br />

97<br />

63<br />

71<br />

Halothiobacillus sp. EF397577<br />

79<br />

HT1<br />

Halothiobacillus sp. EF397570<br />

Halothiobacillus sp. AY096035<br />

Halothiobacillus neapolitanus AB308268<br />

Thiobacillus halophilus THU58020<br />

Thioalkalibacter halophilus EU124668<br />

Thiobacillus neapolitanus AF173169<br />

Halothiobacillus neapolitanus EU871645<br />

Figure 2. Phylogenetic tree derived from 16S rDNA sequence data of strain selected and other related species.<br />

The tree was rooted with Escherichia coli as an out group.<br />

systems and pathways are involved in the dissimilatory<br />

oxidation of thiosulfate. At least two major pathways have<br />

been proposed for different SOB: (1) the sulfur oxidation<br />

pathway (PSO) and (2) the S4 intermediate pathway<br />

involving polythionates (S4I) (Friedrich et al., 2001). The<br />

S4I pathway includes the formation and oxidation of<br />

polythionate or S and sulfite from thiosulfate. In the PSO<br />

pathway, thiosulfate is oxidized directly to sulfate and<br />

does not accumulate intermediate products such as<br />

polythionate, S and sulfite. Thiosulfate oxidation is carried<br />

out by a thiosulfate-oxidizing multi-enzyme system in<br />

which one enzyme is coded by soxB (Anandham et al.,<br />

2008). SoxB contains a prosthetic manganese cluster in<br />

the reaction center and is essential for thiosulfate


Table 1. Comparative characteristics of strain HT1 and typical Halothiobacillus.<br />

Characteristic HT1 Halothiobacillus *<br />

Gram stain test - -<br />

Oxidase / /<br />

Catalase - /<br />

Indole + /<br />

Methyl red test - /<br />

Amylohydrolysis - -<br />

Oxidative fermentation of glucose Ferment /<br />

Nitrate reduction + +<br />

Nitrite reduction - -<br />

Denitrification - -<br />

Gelatin liquefaction - /<br />

H2S + /<br />

Cu tolerance 621 mgkg -1 /<br />

Pb tolerance 192 mgkg -1 /<br />

Zn tolerance 325 mgkg -1 /<br />

NaCl tolerance 175.5 gkg -1 0-234 g.kg -1<br />

Sulfur sources<br />

sulfide + +<br />

S + +<br />

sulfite + +<br />

thiosulfate + +<br />

tetrathionate + +<br />

thiocyanate - -<br />

“/” Denotes this index does not test or exist; “*” denotes reference control<br />

oxidation. HT1 is a sulfur oxidizing obligate chemolithotroph<br />

capable of using thiosulfate as substrate. In<br />

order to detect the pathway of HT1, different primers<br />

were conducted on it to detect the existence of soxB.<br />

PCR-based analysis showed that no specific bands were<br />

obtained in HT1. Our results were consistent with soxB<br />

gene analysis with Halothiobacillus hydrothermalis conducted<br />

by Petri et al., (2001), suggesting that HT1 oxidize<br />

thosulfate via the S4I path way which is enzymatically<br />

different from the PSO path-way.<br />

It was reported that many SOB took up and stored<br />

sulfur globules in the reduced forms (usually as elemental<br />

sulfur). Different bacterial groups stored various forms of<br />

globules (Prange et al., 1999). Sulfur in the globules of<br />

Beggiatoa alba and Thiomargarita namibiensis consisted<br />

of S8, whereas Acidithiobacillus ferrrooxidans stored<br />

polythionates as globules. Purple and green sulfur<br />

bacteria also consisted mainly of polymeric sulfur chains<br />

while the sulfur chains were found in the globules of<br />

Thermoanaerobacter sulfurigignens and<br />

Thermoanaerobacterium thermosulfurigenes. As an<br />

essential macronutrient for microorganisms, plants and<br />

animals, sulfur (S) exists in soils in a great variety of<br />

organic and inorganic species with oxidation states<br />

ranging from -2 to +6. Reference compounds were used<br />

to explore different sulfur oxidation states and chemical<br />

structures. For analysis, the fitting and plotting package<br />

Shi et al. 4125<br />

WinXAS version 3.1 was used. The spectra were<br />

normalized by fitting first and second order polynomial<br />

functions to the pre- and post-edge regions respectively.<br />

Sulfur K-edge XANES analysis showed that sulfur<br />

globules in HT1 fit well with cyclooctasulfur (S8) which<br />

was consistent with the results of Engel et al., (2007)<br />

(Figure 3). This could be either a biosignature of bacteria<br />

that preferentially take up and oxidize cyclooctasulfur (S8)<br />

or a sign that the polymeric form of sulfur is preferred,<br />

thus leaving cyclooctasulfur to accumulate.<br />

HT1 was a heavy-metals-tolerant SOB which might<br />

play an important role in biogeochemical cycle. Microorganisms<br />

are considered to be important contributors to<br />

the biogeochemical cycle of trace elements through<br />

several microbe mediated processes. Most sulfur transformations<br />

are fundamentally controlled by biosphere<br />

processes, especially by the specialized metabolisms of<br />

microorganisms. Biological oxidation was the principal<br />

pathway for mineralization of organic S. Sulfur oxidation<br />

by metal resistant SOB contributed to the formation of<br />

SO4 2- , leading to the transformation of sulfur.<br />

ACKNOWLEDGEMENTS<br />

This work wassupported by Zhejiang Provincial Natural<br />

Science Foundation of China (R5110031), the National


4126 Afr. J. Biotechnol.<br />

Absorption<br />

2.460 2.465 2.470 2.475 2.480 2.485 2.490<br />

Energy (KeV)<br />

Figure 3. Sulfur K-edge XANES spectra of HT1 cells.<br />

Natural Science Foundation of China (40601086,<br />

20777066), and the Fundamental Research Funds for the<br />

Central Universities (2010QNA6025).<br />

REFERENCES<br />

Anandham R, Indiragandhi P, Madhaiyan M, Ryu KY, Jee HJ, Sa TM<br />

(2008). Chemolithoautotrophic oxidation of thiosulfate and<br />

phylogenetic distribution of sulfur oxidation gene (soxB) in<br />

rhizobacteria isolated from crop plants. Res. Microbiol. 159: 579-589.<br />

Auernik KS, Maezato Y, Blum PH, Kelly RM (2008). The genome<br />

sequence of the metal-mobilizing, extremely thermoacidophilic<br />

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Prange A, Arzberger I, Engemann C, Modrow H, Schumann O, Truper<br />

HG, Steudel R, Dahl C, Hormes J (1999). In situ analysis of sulfur in<br />

the sulfur globules of phototrophic sulfur bacteria by X-ray absorption<br />

near edge spectroscopy. BBA-Gen Subjects, 1428: 446-454.<br />

Remonsellez, F, Orell A, Jerez CA (2006). Copper tolerance of the<br />

thermoacidophilic archaeon Sulfolobus metallicus: possible role of<br />

polyphosphate metabolism. Microbiology, 152: 59-66.<br />

Sievert SM, Heidorn T, Kuever J (2000). Halothiobacillus kellyi sp. nov.,<br />

a mesophilic, obligately chemolithoautotrophic, sulfur-oxidizing<br />

bacterium isolated from a shallow-water hydrothermal vent in the<br />

Aegean Sea, and emended description of the genus Halothiobacillus.<br />

Int. J. Syst. Evol. Micr. 50: 1229-1237.<br />

Sorokin DY, Tourova TP, Kolganova TV, Spiridonova EM, Berg IA,<br />

Muyzer G (2006). Thiomicrospira halophila sp nov., a moderately<br />

halophilic, obligately chemolithoautotrophic, sulfur-oxidizing<br />

bacterium from hypersaline lakes. Int. J. Syst. Evol. Micr. 56: 2375-<br />

2380.<br />

Tsai Y, Sawaya MR, Cannon GC, Cai F, Williams EB, Heinhorst S,<br />

Kerfeld CA, Yeates TO (2007). Structural analysis of CsoS1A and the<br />

protein shell of the Halothiobacillus neapolitanus carboxysome. Plos.<br />

Biol. 5: 1345-1354.<br />

Wood AP, Kelly DP (1991). Isolation and characterisation of Thiobacillus<br />

halophilus sp. nov., a sulphur-oxidising autotrophic eubacterium from<br />

a Western Australian hypersaline lake. Arch. Microbiol. 156: 277-280.<br />

Dong XZ, Cai MY (2001). Identification of common Bacterial Systems<br />

usual Manual, Science Press. Beijing.


African Journal of Biotechnology Vol. 10(20), pp. 4127-4132, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2452<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Biomonitoring of some heavy metal contaminations<br />

from a steel plant by above ground plants tissue<br />

M. Ataabadi, M. Hoodaji* and P. Najafi<br />

Islamic Azad University, Khorasgan Branch, Isfahan, Iran.<br />

Accepted 21 March, 2011<br />

Soil and plants growing in the vicinity of industrial areas display increased concentrations of heavy<br />

metals and give an indication of the environmental quality. The contamination source for aluminum,<br />

iron, nickel and lead in the Botanical garden of Mobarakeh Steel Company was recognized by analyzing<br />

the leaves and topsoil of two evergreen species: Quercus brantii and Ligustrum vulgare. Availability of<br />

the studied elements for plants was investigated by measuring their total and extractable concentration<br />

inthe soils. For ensuring air borne source of these metals, plant tissues were washed with distilled<br />

water. Plant available heavy metals of the soils were few in comparison with the total values which were<br />

related to the high pH value and the CaCO3 percentage in the soils around each plant. On the other<br />

hand, significant differences were obtained between the washed and unwashed leaves in both species<br />

indicating metal contaminations from the atmosphere. Significant differences were detected between<br />

the contaminated and background site samples in both plants for Al, Fe and Ni. In addition, the leaves<br />

of L. vulgare accumulated more elements partially than Quercus brantii. Difference in the accumulation<br />

potentials of the plants were related to the diversity of the physical and chemical properties of the<br />

leaves and the type of elements. The enrichment ratio of plants (Ccontaminated/Cbackground) was calculated<br />

and it indicated that, the Fe in both plants was moderately enhanced by anthropogenic activities.<br />

Key words: Industrial contamination, Quercus brantii, Ligustrum vulgare, enrichment factor.<br />

INTRODUCTION<br />

Human activities cause the slow extermination of plant<br />

and animal species in nature through toxic pollution due<br />

to industrial and technological advancement in recent<br />

decades (Ives and Cardinale, 2004). Many heavy metals<br />

emitted mostly from anthropogenic sources, have now<br />

exceeded or equaled their natural emissions (Biney et al.,<br />

1994) and have been posing a serious threat to the<br />

ecosystems (Wen Kuang et al., 2006).<br />

Soil and plants growing in the nearby zone of industrial<br />

areas display increased concentration of heavy metals,<br />

serving in many cases as biomonitors of pollution loads.<br />

Plants take up large quantities of pollutants and translocate<br />

them into vegetative and generative organs at<br />

various rates (Kovács et al., 1993), which make clear the<br />

quality of the environment. Calzoni et al. (2007) in their<br />

studies on the ability of Rosa rugosa for biomonitoring of<br />

*Corresponding author. E-mail: M_Hoodaji@Khuisf.ac.ir Tel:<br />

0311-5354061, 09131172651. Fax: 0311-5354061.<br />

heavy metal indicated that, leaf accumulation was due to<br />

atmospheric deposition rather than to soil uptake (Calzoni<br />

et al., 2007). Chemical foliar analysis has also been employed<br />

to study the impact and extent of air pollutants<br />

(Djingova et al., 1999; Ericsson et al., 1995; Hüttl and<br />

Fink, 1991) and the pollutant accumulation capacity of<br />

different plants (Bicchiega et al., 1994; Somsak et al.,<br />

2000). Leaves of higher plants have been used for biomonitoring<br />

heavy metals since the 1950s (Al-Shayeb et<br />

al., 1995). Pine needles for the determination of airborne<br />

pollutants are also a suitable technique for monitoring<br />

purposes (Holoubek et al., 2000).<br />

Parts of the deposited p<strong>articles</strong> are not removed by<br />

rainfall and become irreversibly adsorbed or incorporated<br />

into the hydrophobic wax layer of the foliage (Rossini and<br />

Raitio, 2003). Therefore, cleaning has an effect on the<br />

foliar concentrations of Al, As, At, Br, Cd, Cr, Fe, Ni, Pb,<br />

V, T and other heavy metals (Rossini and Raitio, 2003).<br />

Aksoy and Öztürk (1996), for example, used date palm<br />

leaves to monitor the distribution of airborne Pb, Cd, Zn<br />

and Cu in the city of Antalya in Turkey. A comparison of


4128 Afr. J. Biotechnol.<br />

Table 1. Mean values of soil properties.<br />

Site pH O.C (%) CEC (meq/100 g) CaCO3 (%) Texture<br />

Contaminated<br />

Q. brantii 8.1 0.3 11.2 68 Sandy loam<br />

L. vulgare 8.3 0.2 10.5 70 Sandy loam<br />

Background<br />

Q. brantii 8.1 1.3 29.1 26 Clay loam<br />

L. vulgare 8 1.2 28.5 23 Clay loam<br />

O.C, organic carbon; CEC, cation exchange capacity.<br />

washed and unwashed samples showed that, leaf<br />

analyses gave a reasonably reliable measure of the total<br />

aerial fallout of heavy metals in the studied area.<br />

Plants contamination in most cases arises from<br />

atmospheric p<strong>articles</strong> accumulation through their foliage<br />

and leaves and the degree of contamination depend on<br />

be smoothness of leaves, wind speed and on the value of<br />

rainfall. Ward et al. (1977) expressed that plant washing<br />

after sampling, decreased the element contents to about<br />

10 to 30% in comparison with unwashed plants (Ward et<br />

al., 1977).<br />

Hoodaji and Jalalian (2003 a,b) showed that, soil and<br />

plant near the Mobarakeh Steel Company were slightly<br />

contaminated with some heavy metals, such as Fe, Zn<br />

and Mn; for example they also reported that, topsoils (0<br />

to 5 cm) and shoot of rice, wheat and bean were enriched<br />

in Fe (Hoodaji and Jalalian, 2003a, 2003b). The plant<br />

contamination was assessed using the enrichment factor.<br />

The enrichment factor (EF) was based on the<br />

standardization of a tested element against a reference<br />

one (Reinmann et al., 2001). The aim of this study was to<br />

assess the leaves of Quercus brantii and Ligustrum<br />

vulgare as possible biomonitors of heavy metal contamination<br />

in the vicinity of industrial area.<br />

MATERIALS AND METHODS<br />

Site description<br />

Mobarakeh Steel Company (MSC) is located at 65 km south west of<br />

Isfahan, near the city of Mobarakeh, Isfahan Province, Iran. It is<br />

Iran's largest steel maker and one of the largest industrial<br />

complexes operating in Iran and is one of the main contamination<br />

sources in this region. This study was done in the Botanical garden<br />

of Mobarakeh Steel Company located in 32°34'15’N and 51°25' 21,<br />

E southwest of Isfahan, Iran. This region has an arid climate with a<br />

mean annual rainfall of 140 mm and wind direction of SW-NE. The<br />

region’s type of soil, according to information obtained from profile<br />

description was Typic Haplocalcids. The garden was approximately<br />

3 ha in area, with 9 plots and 3 replications. The background site<br />

was located at 50 km away in a village with low traffic in the Bagh<br />

Bahadoran region. Minimum and maximum annual temperatures of<br />

this location were 7.6 and 24.33°C, respectively. Relative humidity<br />

was 40% and mean wind speed was 1.77 km/h.<br />

Two species, Q. brantii and L. vulgare were selected. These<br />

species are widely distributed in landscape and can survive under a<br />

wide temperature range and grow in almost any type of soil. They<br />

have different behaviors to metal contaminants due to various<br />

morphological and physico-chemical characteristics of their leaves.<br />

L. vulgare is a shrub with oval to lance-shaped sub-shiny dark<br />

green leaves, thick cuticle and moderate epicuticular waxy layer,<br />

whilst Q. brantii is a tree with spiny shape of the lightly lobed leaves<br />

and thin cuticle.<br />

Sampling, preparation and analysis of plant samples<br />

The sampling of both species was performed in August 2007 from<br />

the studied and background sites. Leaf sampling was done with<br />

wind direction (SW to NE) and from approximate height of 190 and<br />

140 cm for Quercus and Ligustrum, respectively, along 9 plots in 3<br />

replications. After transferring the samples to a laboratory, leaves<br />

were divided in to two parts. One part was washed with de-ionized<br />

water to clean dust and any deposited substances on the leaves<br />

and another part was not cleaned. At first, all samples were air<br />

dried and then oven dried at 70°C for 48 h to constant mass, milled<br />

and sieved through a 35 mesh screen. 1 g milled powder of each<br />

samples were digested with 10 ml 2N HCl (Chapman and Pratt,<br />

1961).<br />

Sampling, preparation and analysis of soil samples<br />

Soil samples were also collected randomly from a depth of 0 to 30<br />

cm around each plant. Soil samples were air dried, ground and<br />

passed through sieve (2 mm).The main soil chemical properties<br />

were determined by laboratory analysis. Organic carbon was<br />

determined by a modified wet oxidation (Nelson and Sommers,<br />

1982). Soil pH was measured using potentiometric titration of the<br />

soil extract. Cation exchange capacity (CEC) was measured by<br />

ammonium acetate extraction (Rhoads, 1982). Calcium carbonate<br />

was determined by back titration (FAO, 1974). Soil texture was<br />

measured by the Hydrometer method (Gee and Bauder, 1986). The<br />

total metal concentrations (Al, Fe, Ni and Pb) were determined after<br />

digestion with 10 ml HNO3 70% (Pyatt, 1999; Soon and Abbund,<br />

1993). The plant available heavy metals in soils were extracted with<br />

diethylen triamine penta acetic acid (DTPA) solution (0.005 M<br />

DTPA + 0.01 M CaCl2 + 0.1 M TEA at pH = 7.3) (Lindsay and<br />

Norvell, 1978). Finally, heavy metal concentrations in plant and soil<br />

samples were determined by ICP- AES (GBC Integra XL model).<br />

Some chemical and physical properties of soils are given in Table<br />

1.<br />

To identify the possible origin of metals in the plants, an<br />

enrichment factor of plant (EFplant), was calculated with Equation 1<br />

for each metal as follows:


Table 2. Total and plant available mean metal concentration (mg kg -1 ) ± Standard error in topsoil around each plant.<br />

Ataabadi et al. 4129<br />

Location/species<br />

Contaminated site<br />

Al<br />

Q. brantii<br />

Fe Ni Pb Al<br />

L. vulgare<br />

Fe Ni Pb<br />

Total 17651.3 ± 1399.9 22693.3 ± 956.7 40.1 ± 3.3 16.6 ± 0.7 15492 ± 1189.7 20005.3 ± 1364.7 36.7 ± 1.9 18.6 ± 4.1<br />

Plant available 0.4 ± 0.2 9.3 ± 1.1 2 ± 0.2 1.1 ± 0.1 0.3 ± 0.1 12.7 ± 3.3 1.5 ± 0.1 0.8 ± 0.4<br />

Available percent* 0.005 0.04 5.07 6.62 0.002 0.06 3.98 4.31<br />

Background site<br />

Total 19250 ± 1000 30000 ± 680 57.2 ± 1 15.9 ± 1 18750 ± 788 30400 ±1500 44.8 ± 5.5 21.5 ± 2<br />

Plant available 2.3 ± 0.1 18.9 ± 3 1.3 ± 0.09 3.3 ± 0.2 2 ± 0.3 30.3 ± 0.75 1.2 ± 0.1 2.9 ± 0.08<br />

Available percent* 0.01 0.06 2.3 19.8 0.01 0.1 2.71 13.5<br />

*Available percent: (plant available / total) × 100.<br />

M<br />

EF = (1)<br />

plant<br />

plant<br />

M control<br />

Where, Mplant and Mcontrol are the concentrations of the<br />

examined elements of the plant in the contaminated and<br />

background sites, respectively (mg kg -1 ) (Reinmann et al.,<br />

2001).<br />

Data analysis was done by a statistical package SPSS<br />

14.0. To evaluate the effect of washing treatment on<br />

element concentration, the statistical significance (p <<br />

0.05) of the differences between unwashed and washed<br />

samples was determined using t-test.<br />

RESULTS AND DISCUSSION<br />

Relationship between soil properties and<br />

heavy metal uptake by plant<br />

The total and plant available heavy metal values<br />

in the soils are given in Table 2. The total metal<br />

concentrations were high, but only a little fraction<br />

of them were available for the plants. These<br />

results can be explained with the consideration of<br />

the chemical properties of the soils in Table 1.<br />

Total soil heavy metal concentration is commonly<br />

used to indicate the degree of<br />

contamination (Karaca, 2004), although, DTPAextractable<br />

concentration provides a more<br />

suitable chemical evaluation of the amount of<br />

metals available for plant uptake (Lindsay and<br />

Norvell, 1978; Pretuzzelli, 1989; Zufiaurre et al.,<br />

1998). Loading and accumulation of heavy metals<br />

in the soil depend on different factors such as<br />

chemical form of elements, pH, organic matter<br />

content, texture and cation exchange capacity<br />

(CEC) of the soil (Logan and Chaney, 1983). With<br />

increasing pH, organic matter content, CEC and<br />

clay percentage and availability of the metals<br />

reduced. In addition to the existence of carbonate,<br />

sulfate, phosphate and sulfide forms of elements<br />

in soil causes an increase in the metal precipitation<br />

and consequently decrease their availability<br />

for plant (Shuman, 1985 and Forstner,<br />

1985).Therefore, in calcareous soils (CaCO3 ><br />

60%) mobility and uptake of heavy metals were<br />

very low. Kabata-Pendias and Pendias (1999)<br />

also expressed that, uptake and disuptake of<br />

elements depend on plant species, growth stage<br />

and composition of soil solution, especially Ca<br />

(Kabata-Pendias and Pendias, 1999).<br />

Consequently, in the contaminated site, the<br />

existence of more than 60% CaCO3 with pH >8<br />

led to decrease in mobility and availability of these<br />

elements in the soils.<br />

Consideration of the available percents of the<br />

metals also confirmed the results, therefore, it can<br />

be concluded that the source of these elements in<br />

plants cannot be the soil.<br />

Concentration of elements in plants<br />

Leaf samples from contaminated site (MSC) had<br />

significantly higher concentrations of Al, Fe and Ni<br />

than the background site for both species. This<br />

result showed the direct effect of atmospheric<br />

contamination in industrial regions. The effects of<br />

industrial activities on heavy metal pollution have<br />

been reported by many authors (El-Hassan et al.,<br />

2002; Rossini and Mingorance, 2006). Comparison


4130 Afr. J. Biotechnol.<br />

Table 3. The mean values of EFplant.<br />

Plant species Al Fe Ni Pb<br />

Q. brantii 1.5 2.6 1.9 0.9<br />

L. vulgare 1.5 2.9 1.9 1.5<br />

Table 4. Elemental concentrations ± standard error in leaves of Q. brantii compared by t-test.<br />

Element<br />

Site<br />

Al<br />

Unwashed Washed<br />

T-test<br />

Fe<br />

Unwashed Washed<br />

T-test<br />

Ni<br />

Unwashed Washed<br />

T-test<br />

Pb<br />

Unwashed Washed<br />

T-test<br />

Contaminated 367.6 ± 28.7 176.5 ± 27.4 * 1001 ± 157.9 471 ± 41.8 * 85.4 ± 5.2 60.08 ± 9.1 * 3.5 ± 0.7 1.2 ± 0.2 *<br />

Background 250.3 ± 25.3 146.8 ± 16.1 * 380.8 ± 45.25 157.08 ± 28.8 * 45.2 ± 6.85 29.6 ± 5.49 ns 3 ± 0.0.1 1.3 ± 0.5 *<br />

T-test * ns ** * * * ns ns<br />

Significance: *p < 0.05, **p < 0.01. ns: not significant.<br />

Table 5. Elemental concentrations ± Standard error in leaves of L. vulgare compared by t-test.<br />

Site<br />

Al<br />

Unwashed Washed<br />

T-test<br />

Fe<br />

Unwashed Washed<br />

T-test<br />

Ni<br />

Unwashed Washed<br />

T-test<br />

Pb<br />

Unwashed Washed<br />

T-test<br />

Contaminated 415 ± 85.2 266.7 ± 34.6 ns 1024 ± 156.6 486.32 ± 51.7 * 85 ± 10.2 45.1 ± 3.9 * 4.7 ± 0.6 1.1 ± 0.2 *<br />

Background 267.2 ± 35.1 60.9 ± 9.2 * 350.3 ± 55.6 100 ± 9.25 * 43.6 ± 2.80 15.3 ± 1.34 * 3 ± 0.2 05 ± 0.08 *<br />

T-test * * ** * ns * ns ns<br />

*p < 0.05; **p < 0.01; ns, not significant.<br />

of the normal content of Fe in plants (100 to 500<br />

mg kg -1 of dry weight) (Pais and Benton, 1997)<br />

with the detected concentrations, showed that the<br />

contamination of Fe in the study area was<br />

considerable.<br />

Enrichment factor of plant<br />

EFplant showed the different ratio of metal bioaccumulation<br />

in each part of the plant in relation<br />

to the control site. EF > 2 indicates sample<br />

enrichment (Mingorance et al., 2007). 1


Investigation of atmospheric source of elements with<br />

water washing treatment<br />

The ability to distinguish airborne and soil borne<br />

contamination was assessed by washing the leaves.<br />

Washing with water was an effective procedure for the<br />

removal of Pb, Fe, Al, Cr and V from the leaves of<br />

ornamental species (Rossini Oliva and Raitio, 2003)<br />

General comparison between the element concentrations<br />

before and after washing in the contaminated site<br />

indicated significant differences in both species except for<br />

Al in Ligustrum vulgare (Table 4 and 5). In the<br />

contaminated site, after washing, element contents of<br />

leaves decreased about 29-64 and 28-74 percents for<br />

Quercus and Ligustrum, respectively. Therefore, it can be<br />

concluded that metal concentrations in the plants in the<br />

studied area were due to atmospheric dust from industrial<br />

activities. Removal efficiency of the studied elements<br />

after washing with water were much higher in comparison<br />

with Ward et al ΄s results (1977), which reported<br />

reduction in element content about 10-30 percents with<br />

washing (Ward et al., 1977). Reduction in element<br />

content after washing with water is different by physical<br />

and chemical characters of pollutants, plant species and<br />

subsequently properties of leaves (Rea et al., 2000,<br />

(Rossini Oliva and Raitio, 2003)<br />

Conclusions<br />

The findings of this study showed that, both<br />

species were suitable biomonitors for Al, Fe and Ni<br />

contamination in the studied area. L. vulgare acted better<br />

than the Q. brantii in some cases which confirmed that<br />

the accu-mulative ability of plant tissues depend on their<br />

surface properties (Tables 4 and 5). Both species were<br />

mode-rately enriched in Fe due to the EFplant > 2.<br />

Considerable differences between the total and DTPAextractable<br />

heavy metals in soils due to high pH value<br />

and CaCO3 percentage disproved the probability of plant<br />

contamination through the soil and fortified the theory of<br />

atmospheric source of these elements in the industrial<br />

area. On the otherhand, the use of water-washing<br />

procedure which led to significant differences in the<br />

heavy metals content of the leaves in both plants in the<br />

contaminated site, demon-strated the atmospheric source<br />

of the metals.<br />

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bioavailability. Agric. Ecosyst. Environ. 27 (1-4): 493-503.<br />

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Reinmann C, Koller F, Frengstad B, Kashulina G, Niskavaara H,<br />

Englmaier P (2001). Comparison of the element composition in<br />

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Northern Europe. Sci. Total. Environ. 278(1-3): 87-112.<br />

Rhoads JD (1982). Cation exchange capacity, in: Page AL (Eds.),<br />

Methods of soil analysis, pp. 149-157. Agron. No. 9, Part 2: Chemical<br />

and mineralogical properties. Am. Soc. Agron. Madison, WI, USA.<br />

Rossini OS, Raitio H (2003). Review of cleaning techniques and their<br />

effects on the chemical composition of foliar samples. Boreal Environ.<br />

Res. 8(3): 263-272.<br />

Rossini OS, Mingorance MD (2006). Assessment of airborne heavy<br />

metal pollution by aboveground plant parts. Chemosphere, 65(2):<br />

177-182.<br />

Shuman LM (1985). Fractionation method for soil microelement. Soil<br />

Sci. 140(1): 11-22.<br />

Somsak L, Simurdova B, Liptak J, Kromka M, Antonio J (2000).<br />

Accumulation of heavy metals by some forest tree species (Tilia<br />

cordata Mill., Acer pseudoplatanus L.). Ecologia.19 (3): 324-330.<br />

Soon YK, Abboud S (1993). Cadmium, Chromium, Lead and Nickel, in:<br />

Carter MR (Eds.). Soil sampling and Method of Analysis. pp: 101-<br />

108. Canadian Society of Soil Science, Lewis Publishers, Boca<br />

Ward NI, Brooks RR, Roberts E (1977). Heavy metal pollution from<br />

automotive emission and its effect on roadside soils and pasture<br />

species in New Zealand. Environ. Sci. Technol. 11(9): 917-920.<br />

Wen Kuang Y, Yi Zhou G, Zhi Wen D, Zhong Liu S (2006). Heavy metal<br />

in bark of Pinus massoniana (Lamb.) as an indicator of atmospheric<br />

deposition near a smeltery at Qujiang, China. Environ. Sci. Pollut.<br />

Res. Int. 14(4): 270-275.<br />

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259.


African Journal of Biotechnology Vol. 10(20), pp. 4133-4137, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1388<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Isolation, purification and identification of bacteria from<br />

the shoes worn by children<br />

Hui Li, Changqing Zhao, Jin Zhou, Huanhuan Shao and Wuyong Chen*<br />

National Engineering Laboratory for Clean Technology of Leather Manufacture, Institute of Life Sciences, Sichuan<br />

University, Chengdu 610065, China.<br />

Accepted 4 April, 2011<br />

13 strains of bacteria were isolated from 12 shoes that were worn by children aged 6 to 12 for more than<br />

half a year. Through morphological observation, physiological and biochemical measurements, as well<br />

as 16SrRNA sequence analysis, the bacteria were identified as follows: Bacillus licheniformis, Bacillus<br />

subtilis (5 subspecies), Bacillus spore (3 subspecies), Bacillus anthracis, Staphylococcus aureus,<br />

Bacillus amyloliquefaciens and Bacillus thuringiensis. The results may contribute to the selection of<br />

efficient antimicrobial agents for children's shoes and insole.<br />

Key words: Children’s shoes, bacteria, isolation, identification.<br />

INTRODUCTION<br />

Shoes are necessary for everyone, especially as they are<br />

worn by all in almost 2/3 of humans’ life time. They are<br />

vulnerable to contamination by microorganisms when<br />

worn. Some published results show that a great amount<br />

of bacteria and fungi attach themselves to the feet and<br />

socks of humans, with the density of 5,000 to 100,000<br />

colonies/cm 2 , and more severely with a density of<br />

10,000,000 to 1,000,000,000 colonies/cm 2 (Xu, 2006). It<br />

is these microorganisms that react with the sweat of<br />

humans and cause an undesired odor. However, various<br />

microorganisms could grow and breed largely in the<br />

micro-environment of inner shoes and would rightly<br />

cause incomparable beriberi by reacting with human’s<br />

sweat. On the other hand, there was little information<br />

about these bacteria and fungi in shoes, although the<br />

pathogens which these microorganisms belong to have<br />

not been reported.<br />

Since children are usually engaged in many physical<br />

activities, they could secrete more sweat than adults for<br />

their vigorous metabolism. As a result, more bacteria<br />

would breed and lead to more serious foot diseases (Cai,<br />

2005). In the long-term result, a series of diseases could<br />

be induced, which would severely do harm to children's<br />

physical and mental health ultimately (Dorman et al., 2000).<br />

*Corresponding author. E-mail: wuyong.chen@163.com.<br />

Tel/Fax: + (86)28 8540 4462.<br />

Shamez had successfully isolated a strain of<br />

Staphylococcus from children’s shoes (Shamez and<br />

Mehdi, 2005), but up till now, no report has been made<br />

on the isolation of other bacteria from children’s shoes. If<br />

the specific pathogenic microorganisms could be isolated<br />

and identified from the shoes, some effective antimicrobial<br />

agents for the different species of bacteria<br />

could be selected for materials used in making shoes to<br />

protect children's feet from being infected by the microorganisms.<br />

For this purpose, the bacteria from children’s<br />

shoes were isolated and identified with morphological<br />

observation, physiological and biochemical tests, extraction<br />

of genomic DNA, PCR amplification and analysis of<br />

16SrRNA sequence.<br />

MATERIALS AND METHODS<br />

12 pairs of shoes that were worn by children aged 6 to 12 for more<br />

than half a year, were selected as the shoes’ sample. Beef extract<br />

peptone medium was used for the isolation of bacteria (Ausubel et<br />

al., 2005). LB medium, TE buffer (pH 8.0), CTAB/NaCl solution (pH<br />

8.0) and dNTPs mixture were selected for 16SrRNA sequence<br />

analysis (Joseph et al., 2001).<br />

Isolation of bacteria<br />

The leather insole, plastic insole and leather lining from the 12 pairs<br />

of shoes were cut into pieces. Then, the pieces were put in a sterile<br />

conical flask with glass beads and 100 ml sterile water was added<br />

under sterile conditions. After the pieces were soaked in sterile


4134 Afr. J. Biotechnol.<br />

water for 1 h, the conical flask was shook in a vibrator (CHZ-82,<br />

Jintan Fuhua Instrument Co., China) at 200 rpm for 3 h to disperse<br />

the cells of germs. When the cells were singly dispersed, 1 ml<br />

sample of the cell suspension and 9 ml sterile water were added<br />

together into a test tube and mixed fully. Then 1 ml mixture suspension<br />

was taken into 9 ml sterile water to obtain the 10 -2 dilution.<br />

According to the same procedure, different concentrations of<br />

bacteria (10 -3 , 10 -4 , 10 -5 , 10 -6 and 10 -7 ) were obtained (Lu et al.,<br />

2006). For isolation of the aerobic bacteria, 0.05 mg/ml nystatin was<br />

added to sterile beef extract peptone medium to inhibit the growth<br />

of molds and yeasts (Papamanoli et al., 2003). When the nystatin<br />

and medium were mixed uniformly, 15 ml of the mixture was poured<br />

into culture plates. After the medium was solidified by cooling, 0.2<br />

ml diluents of 10 -5 , 10 -6 and 10 -7 for each concentration were drawn<br />

into plates by a sterile pipette. Each concentration of germ<br />

suspension was inoculated for 3 plates, and then the plates were<br />

coated by a sterile glass rod uniformly. Lastly, the culture plates<br />

were stored in a biochemical incubator (SPX-80BS-II, Shanghai<br />

Medical Equipment Manufacture Co., China) at 37°C for 2 days.<br />

For isolation of the anaerobic bacteria, 15 ml of beef extract<br />

peptone medium was poured into culture plates. After the medium<br />

was solidified by cooling, 0.2 ml diluents of 10 -4 , 10 -5 and 10 -6 for<br />

each concentration were drawn into plates by a sterile pipette. Each<br />

concentration of germ suspension was inoculated for 3 plates and<br />

then plates were coated by a sterile glass rod uniformly. Lastly, the<br />

culture plates were sealed by sterile Vaseline and placed in a<br />

vacuum dryer. After been vacuumed, the plates were stored in a<br />

biochemical incubator at 37°C for 2 days to enable the anaerobic<br />

bacteria grow largely on the plates.<br />

Purification of the isolates<br />

The morphology of colonies was observed with optical microscope<br />

(XZE-H, Chongqing Optical Instrument Co., China). According to<br />

different morphology of the colonies, the single colony of<br />

predominant bacteria was picked and inoculated to the medium<br />

slant, and in total, there were 13 strains of bacteria identified<br />

preliminarily. Then purified colonies were obtained by repeated<br />

streaking of the single colony on fresh agar plates and their<br />

morphology was recorded as the basis for classification in detail<br />

(Christine, 2002). In the experiment, there were no strict anaerobe<br />

bacteria on the vacuum dryer flat.<br />

Morphological identification<br />

After it was cultured at 37°C for 24 h, the strains were picked from<br />

the slants and were stained with gram as well as spore (Kandler et<br />

al., 1986). Then, the cell and spore of the strains were observed<br />

with optical microscope. At the same time, the common standard<br />

strains of Escherichia coli and Bacillus were selected as references<br />

(Kim et al., 2000).<br />

Physiological and biochemical appraisal<br />

There were a total of 10 trials based on the identification of a<br />

common bacterial system for appraising physiological and<br />

biochemical characteristics of the bacteria (Joseph et al., 2001).<br />

The common standard strains such as E. coli and Bacillus were<br />

also used as references.<br />

Extraction of genomic DNA, amplification and analysis of<br />

16SrRNA<br />

According to the manufacturer’s instructions, the extraction of the<br />

total genomic DNA was performed using DNA extraction kit<br />

(Promega, USA) and PCR amplification was performed. A portion of<br />

the bacterial 16SrRNA gene was amplified using the primers, 27F<br />

(5'-AGAGTTTGATCCTGGCTCAG-3') and 1492R (5'-TACGGCT<br />

ACCTTGTTACGACTT-3') (Mora et al., 1998). The reaction mixture<br />

was set up on ice and it included: 10 × Taq buffer (with Mg 2 + ) (5 μl),<br />

dNTP (3.5 μl), 1.5 μl each for forward and reverse primer, Taq DNA<br />

polymerase (0.5 μl), template DNA (2 μl) and an addition of ddH2O<br />

up to 36 μl as the final volume. The PCR program was denaturized<br />

at 94°C for 5 min, and at 94°C for 30 s, while it was annealed at<br />

57°C for 40 s and extended at 72°C for 90 s. These steps cycled a<br />

total of 32, while the program was finally extended at 72°C for 10<br />

min (Mora et al., 1998). Subsequently, the PCR product was<br />

separated by 1% agar-gel electrophoresis, and the band of expected<br />

size was cut-off and purified with a purification kit (Promega,<br />

USA). The expected bands were sequenced by Huada Genomic<br />

Company (Beijing, China).<br />

Sequence identification was initially estimated using the BLAST<br />

facility of the National Center for Biotechnology Information. All<br />

available subsets of 16SrRNA gene sequences were selected,<br />

analyzed and aligned with CLUSTALX 1.8 (Thompson et al., 1997).<br />

RESULTS AND DISCUSSION<br />

Morphology, physiological and biochemical<br />

identification<br />

According to the different morphology of the colony<br />

(Figure 1), there were 13 strains of bacteria distinctly<br />

labeled from 1 to 13#, respectively. The morphological<br />

characteristics of the bacteria are shown in Table 1, and<br />

the physiological and biochemical characteristics of the<br />

bacteria are shown in Table 2. The colony characteristics<br />

of the isolates could thus be helpful for their genetics<br />

identification.<br />

Identification of the sequences of 16SrRNA<br />

According to Table 3, the similarities of the 13 strains of<br />

16SrRNA sequence reached up to 98% when compared<br />

with the standard strains in the GenBank (Kolbert and<br />

Persing, 1999). Combining it with the morphological and<br />

physiological characteristics (Buchanan et al., 1984;<br />

Breed et al., 1994), these strains were identified as:<br />

Bacillus licheniformis CICC 10037 (1#); Bacillus subtilis<br />

64-3 (2#); Bacillus spore CO64 (3#); B. subtilis SRS-15<br />

(4#); B. subtilis W-9 (5#); B. subtilis I527 (6#); B. subtilis<br />

I3 (7#); Bacillus anthracis (8#); Staphylococcus aureus<br />

(9#); 1Bacillus amyloliquefaciens SDG-3 (10#); B. spore<br />

DC3158 (11#); B. spore LY (12#) and Bacillus<br />

thuringiensis 61436 (13#).<br />

Among the strains isolated from the children's shoes, a<br />

strain of S. aureus accounted for 7.70%, while 12 strains<br />

of Bacillus accounted for 92.30%. Published researches<br />

show that most Bacillus can secrete amylase, lipase and<br />

protease to strongly decompose carbon pollutants, complex<br />

polysaccharides and proteins, and they also play an<br />

important role in decomposing water-soluble organic<br />

matter such as sweat, leading to foot odor (Wan, 2001;


Li et al. 4135<br />

Figure 1. Morphology of the bacteria strains. The morphology of the 13 strains of the bacteria were observed with optical<br />

microscope (labeled from 1 to 13#), respectively; the size of bacteria observed with optical microscope were magnified by<br />

1000 times.<br />

Table 1. Morphological characteristics of bacteria.<br />

S/N Gram Shape Spore Colonies color Morphology Transparency Edge<br />

1 G + Short rod Had a spore Yellowish Round Opaque Irregular<br />

2 G + Short rod Had a spore White Irregular Opaque Irregular<br />

3 G + Short rod Had a spore White Round Sub transparent Regular<br />

4 G + rod Had a spore Yellowish Round Opaque Irregular<br />

5 G + Long rod Had a spore White Round Opaque Irregular<br />

6 G + Short rod Had a spore Yellowish Round Opaque Regular<br />

7 G + Long rod Had a spore Yellowish Round Opaque Regular<br />

8 G + Long rod Had a spore Yellowish Irregular Opaque Irregular<br />

9 G + Spherical No spore Yellowish Round Opaque Regular<br />

10 G + Rod Had a spore Yellowish Round Opaque Irregular<br />

11 G + Rod Had a spore White Round Transparent Regular<br />

12 G + Rod Had a spore White Round Opaque Irregular<br />

13 G + Rod Had a spore Yellowish Round Opaque Irregular<br />

Bruce et al., 1988). B. anthracis could spread widely in<br />

dust pollution and easily cause skin anthrax (Quan et al.,<br />

2005). Also, S, aureus is the most common infection<br />

pathogen of the purulent, and it can produce toxin and<br />

cause serious harm, as aggressive bacteria, to the skin of<br />

people’s feet (Proctor et al., 1995). In this study, 13<br />

strains of bacteria from children’s shoes were identified.<br />

The results of the identification will be helpful in screening<br />

efficient antibacterial agents for shoes and insole to<br />

protect children's feet effectively. Also, the results of the<br />

strain’s identification will provide more useful information<br />

for the medical care of children’s feet.<br />

CONCLUSION<br />

13 strains of bacteria were isolated from the children’s<br />

shoes and were identified as B. licheniformis, Bacillus<br />

subtilis (5 subspecies), B. spore (3 subspecies), B.<br />

amyloliquefaciens, S. aureus, Bacillus amyloliquefaciens<br />

and B. thuringiensis. This is the first report on the<br />

bacteria isolated and identified from children’s shoes in<br />

this area. Based on the results, some efficient antibacterial<br />

agents could be chosen against the pathogenic<br />

microorganisms for children's shoes and insole.<br />

ACKNOWLEDGEMENTS<br />

The authors wish to thank the Ministry of Science and<br />

Technology, China for co-operating in the Science and<br />

Technology project between Romania and the People’s<br />

Republic of China (Item No. 2009DFA42850). Also, the<br />

authors would also like to thank the Agency of Science and


4136 Afr. J. Biotechnol.<br />

Table 2. Characteristics of the physiology and biochemistry of bacteria.<br />

S/N 1 2 3 4 5 6 7 8 9 10 11 12 13<br />

Amylolysis + + + + + + + + − + + + +<br />

Gelatinolytic + + − + + + + + + + + − +<br />

Methyl red test − − − − − + + − + − − − +<br />

Indole test − − − − − − − + − − − − +<br />

Vp + + − + + + + + + − − − +<br />

Urea test − − + − − − − − + − + + −<br />

Sugar fermentation + + + + + + + + + + + + +<br />

Glucose fermentation + + + + + + + + + + + + +<br />

Mannitol fermentation + + + + + + + + + + + + +<br />

Catalase test + + + + + + + + + + + + +<br />

+ Indicates positive reaction results; - indicates negative reaction results.<br />

Table 3. Identification of the sequences of 16S Rrna.<br />

S/N Sequence number Strain number Species number Similarity (%)<br />

1 AY871102.1 CICC10037 B. licheniformis 99.29<br />

2 EF472462.1 64-3 B. subtilis 99.14<br />

3 DQ643066.1 CO64 B. spore 99.89<br />

4 GU056808.1 SRS-15 B. subtilis 99.92<br />

5 EU815066.1 W-9 B. subtilis 99.86<br />

6 GQ199597.1 I527 B. subtilis 98.21<br />

7 GQ199595.1 I3 B. subtilis 100<br />

8 AY138383.1 2000031664 B. anthracis 99.47<br />

9 AB114634.1 A9784 S. aureus 99.31<br />

10 FG436406.1 SDG-31 B. amyloliquefaciens 99.98<br />

11 GU121479.1 DC3158 B. spore 99.49<br />

12 AY787805.1 LY B. spore 98.54<br />

13 FJ932761.1 61436 B. thuringiensis 99.48<br />

Technology of Sichuan Province for financially supporting<br />

this study (Item No. 2009HH0004).<br />

REFERENCES<br />

Ausubel FM, Brent R, Kingston RE, Moore D, Seidman JG, Smith<br />

JA, Kevin S (2005). Short Protocols in Molecular Biology. Science<br />

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Bruce E, Susan (1988). Recent advances in the development of an<br />

improved human anthrax vaccine. Eur. J. Epidemiol. 4(1): 12-19.<br />

Cai Q (2005). Leather shoes’ effect on students’ development and<br />

health. China Leather, 20: 144-145.<br />

Christine G (2002). Guide to yeast genetics and molecular and cell<br />

biology. Elsevier Science. USA.<br />

Dorman HJ, Deans SG (2000). Antimicrobial agents from plants:<br />

antibacterial activity of plant volatile oils. J. Appl. Microbiol. 88(2):<br />

308-316.<br />

Joseph S, David R (2001).Molecular cloning: a laboratory manual (3rd<br />

Edition). Cold Spring Harbor Laboratory Press, New York.<br />

Kim SB, Brown R, Oldfield C, Gilbert SC, Iliarionov S, Goodfellow M<br />

(2000). Gordonia amicalis sp. nov., a novel dibenzothiophenedesulphurizing<br />

actinomycete. Int. J. Syst. Evol. Microbiol. 50(6):<br />

2031-2036.<br />

Kolbert CP, Persing DH (1999). Ribosomal DNA sequencing as a tool<br />

for identification of bacterial pathogens. Curr. Microbiol. 2(3):229-305.<br />

Lu SL, Wu GH, Li KX (2006). Isolation and identification of the lactic<br />

acid bacteria from fermented meat. J. Food Sci. Biotechnol. 25(3):<br />

116-121.<br />

Mora D, Fortina MG, Nicastro G, Parini C, Manachini PL(1998).<br />

Genotypic Characterization of Thermophilic Bacilli: a study on new<br />

soil isolates and several reference strain. Research in Microbiology,<br />

149: 711-722.<br />

Papamanoli E, Tzanetakis N, Litopoulou-Tzanetaki E, Kotzekidou P<br />

(2003). Characterization of lactic acid bacteria isolated from a Greek<br />

dry-fermented sausage in respect of their technological and probiotic<br />

properties. Meat Sci. 65(2): 859-867.<br />

Proctor RA, van Langevelde P, Kristjansson M, Maslow JN, Arbeit RD<br />

(1995). Persistent and relapsing infections associated with small<br />

colony variants of Staphylococcus aureus. Clin. Infect. Dis. 20(1): 95-<br />

102.<br />

Promega, the DNA extraction kits and purification kits were bought from<br />

the company Promega in USA.<br />

Quan CS, Liu Q, Tian WJ, Kikuchi J, Fan SD (2005). Biodegradation of<br />

an endocrine disrupting chemical,di-2-ethylhexyl phthalate,by Bacillus<br />

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Shamez L, Mehdi G (2005). Staphylococcal Skin Infections in Children.<br />

Pediatr. Drugs, 7(2): 77-102.<br />

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(1997).The Clustal-X windows interface: flexible strategies for<br />

multiple sequence alignment aided by quality analysis tools. Nucleic<br />

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and materials in personal protection industry. China Personal<br />

Protection Equipment, 29(5): 21-23.


African Journal of Biotechnology Vol. 10(20), pp. 4138-4146, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1410<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Analyzing the two-dimensional plot of the interannual<br />

climate variability for detection of the climate change in<br />

the Large Karoun River Basin, Iran<br />

Narges Zohrabi 1 *, Ali Reza Massah Bavani 2 , Hossein Sedghi 3 and Abdol RasolTelvari 4<br />

1 Department of irrigation, Science and Research Branch, Islamic Azad University, Khouzestan -Iran.<br />

2 Department of Irrigation and Drainage Engineering, College of Abouraihan, University of Tehran, Iran.<br />

3 Department of Water Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.<br />

4 Department of Civil Engineering, Islamic Azad University, Ahwaz, Iran.<br />

Accepted 20 January, 2011<br />

In most studies on climate change, the first problem often faced by the researcher is detecting the<br />

climate change of the study area during the past periods and attributing it to the greenhouse gases. In<br />

this study, an attempt has been made to introduce a method for detecting the climate change during the<br />

past periods in regional scale and attributing it to greenhouse gases with regard to climate processes<br />

in a region. For this purpose, at first it is necessary to calculate the interannual variability range of the<br />

region climatic variables, resulting from the interaction between the climate systems of the ‘earth’<br />

(atmosphere, biosphere, etc.). Hence, long-term statistics (1000 years) of the temperature and<br />

precipitation, resulting from control run (fix greenhouse gases) of AOGCM models (HadCM3 and<br />

CGCM3), were used for Large Karoun River Basin. Then, based on the two-variant normal distribution,<br />

the interannual climate variability range of the study area was plotted as two-dimensional temperatureprecipitation<br />

graphs. Next, the annual temperature and precipitation anomaly values of the observation<br />

stations in different regions of Large Karoun River Basin were compared with the region interannual<br />

variability range for detecting the climate change of the study area during the past and attributing it to<br />

greenhouse gases. The results show increase in temperature and decrease in precipitation trends,<br />

denoting the fact that the temperature variable has been influenced by the climate change. So, in all<br />

regions of the Large Karoun River Basin, the final years of the period (1971 to 2009) have almost been<br />

located outside the interannual climate variability range, indicating the effect of climate change on the<br />

climatic variables of the said years.<br />

Key words: Interannual climate variability, detecting the climate change, AOGCM models, Large Karoun River<br />

Basin.<br />

INTRODUCTION<br />

Different factors can unbalance the stationary time series<br />

of a region’s climatic variables, and a recognition of this<br />

fact can greatly contribute to the climate assessment of<br />

that specific region in future periods. Part of these factors<br />

relate to the interactions between the components of the<br />

Earth’s climate system (atmosphere, hydrosphere,<br />

cryosphere, land surface and biosphere), such as Atlantic<br />

Multidecadal Oscillation (AMO), Pacific Decadal<br />

*Corresponding author. E-mail:<br />

n.zohrabi@khouzestan.srbiau.ac.ir.<br />

Oscillation (PDO), El Niño/Southern Oscillation (ENSO)<br />

and El Nino which can cause internal variability in time<br />

series of climatic variables (Wang and Schimel, 2003;<br />

Hegerl et al., 2007). Various studies have been<br />

accomplished so far in order to detect such variability.<br />

Kazadi and Kaoru (1996) in their research on interannual<br />

variability, during long term periods of the climate (30<br />

years from 1960 to 1992) in Zaire river basin (Africa),<br />

more attentively dealt with understanding the ENSO<br />

phenomenon, its relationship with it and its effect on<br />

internal climate variability and showed that solar annual<br />

cycles determine the seasonal changes of climatic


variables over a region. Timilsena et al. (2009) investtigated<br />

the influence of interannual/interdecadal climate<br />

variability on the Colorado river basin. In this research,<br />

the relationship between individual impact of ENSO, PDO<br />

and AMO and its combined effect on stream-flow was<br />

determined using the non parametric ‘rank sum’ test. The<br />

results indicated an increase in stream-flow during<br />

ElNiNo and a decrease during LaNiNo phenomena,<br />

respectively in the Colorado river basin. Peel and<br />

McMahon (2006) investigated the recent changes in<br />

internal variability of temperature and precipitation on a<br />

global scale. For this purpose, they used empirical mode<br />

decomposition (EMD) (Huang et al. 1998) for quantifying<br />

the proportion of variation in the annual temperatureprecipitation<br />

variability. They reported that the annual<br />

variability of temperature and precipitation have marginally<br />

decreased in the USA, Canada, Europe, Central<br />

Asia, China, Japan and Australia since 1970.<br />

Another part of the factors causing non-stationary<br />

status in climatic variables in a region may be external<br />

factors related to the changes in solar radiation and<br />

changes in the earth orbital and volcanic activity.<br />

Although changes in solar radiation or in the earth orbital<br />

may occur in a several thousand years scale, the<br />

temperature of the region tends to get cold for a few<br />

months by volcanic eruption. Overall changes due to<br />

natural external factors and internal climatic variability<br />

within the system are called natural climate variability.<br />

Another important factor affecting the stationary status of<br />

the climatic variables in a region and thereby resulting in<br />

different trends in such variables is increasing the<br />

greenhouse gases volume in the atmosphere due to<br />

anthropogenic activity (Wang and Schimel, 2003; Hegerl<br />

et al., 2007; Baede et al., 2001). Many scientists believe<br />

that the primary cause for higher earth's surface temperature<br />

in recent decades has been the increased<br />

concentration of the greenhouse gases (Pagano and<br />

Garen, 2005; Garfin et al., 2008; Milly et al., 2008). To<br />

investigate the effect of the said factors on climatic<br />

variables of a region, the trend tests are usually used for<br />

examining the observation records. Khliq et al. (2009)<br />

documented guidelines of different statistical trend tests<br />

in time series for detecting the hydrological trends on<br />

local scales. Moreover, studies by Chen and Grasby<br />

(2009) demonstrated the impacts of the natural<br />

fluctuations of the quasi-cyclic components on the Mann-<br />

Kendall and Thiel-Sen tests, which are the most common<br />

methods used in data analysis and detection of trend in<br />

time series. Although, from the results of this study and<br />

other similar previous researches, this study provides a<br />

better insight for appropriate temporal trend analyses of<br />

the hydroclimate and associate climate data time series,<br />

inference can be drawn that the main method used in<br />

researches for detecting the climate change during the<br />

past, has been analyzing the trends in climatic variables<br />

using non-parametric tests and one-dimensional test in<br />

most cases. The reason for the fame of such tests, proba-<br />

Zohrabi et al. 4139<br />

bly lie in the fact that for the application of nonparametric<br />

methods, no assumptions on parent<br />

distribution of the time series are necessary (Khliq et al.,<br />

2009). It should be noted that although an increase in<br />

greenhouse gases in the atmosphere can create a trend<br />

(especially in temperature), the opposite case is not true,<br />

that is, the existence of a trend in the climate data of a<br />

region can not necessarily be attributed to the increase in<br />

greenhouse gases. In other words, after proving the<br />

existence of a trend in the past climate data of a region,<br />

the relationship between the trend and the increase in<br />

greenhouse gases should be proved. In this case, it can<br />

be said that the climatic variables of the region in the past<br />

have been affected by the climate change. Therefore, in<br />

the climate impact assessment studies, the system<br />

behavior which is a result of alteration by natural<br />

fluctuations or human-induced climate change needs to<br />

be separately investigated (Sridhar and Nayak, 2010).<br />

Braganza et al. (2004) showed the influence of the<br />

external natural forces (solar radiation and volcanic activities)<br />

and the forces resulting from anthropogenic<br />

activities on the climate change observed throughout the<br />

twentieth century, in the course of considering 5 simple<br />

indices of the surface temperature including: the globalmean<br />

temperature (GM), mean land-ocean temperature<br />

contrast (LO), mean magnitude of the annual cycle in<br />

temperature over land (AC), the meridional temperature<br />

gradient in the northern hemisphere mid-latitudes (MTG)<br />

and the northern/southern hemisphere temperature<br />

contrast (NS). For attributing the changes that occurred in<br />

the temperature indices, they used simple and multiple<br />

linear regression between observation records of the<br />

temperature indices and the simulated data derived from<br />

the control run (under the influence of natural forces and<br />

fix greenhouse gases) of 5 models coupled in the<br />

atmosphere-ocean. The linear trends observed in all the<br />

indices except for the hemispheric temperature contrast<br />

(NS) are significantly larger than the values that resulted<br />

from the simulation of such models.<br />

In this research, the detection and attribution of internal<br />

variability to the greenhouse gases and surveying the uncertainty<br />

of different models has been perfectly performed,<br />

but only in one dimension of “temperature”, while<br />

nothing has been done about the “precipitation” variable.<br />

More detailed researches in the field of detection and<br />

attribution of variability which occurred in greenhouse<br />

gases can be found in the paper presented by the<br />

“International ad hoc detection and attribution group”<br />

(Barnett et al. 2005). The mentioned paper, while<br />

reviewing the best part of the studies regarding the<br />

detection of internal variability and attributing them to the<br />

greenhouse gases, shows that the main goal of detection<br />

and attribution studies during the past several years has<br />

been a comparison of the observed changes in climate,<br />

primarily during the past century, with the data simulations<br />

by the Coupled General Circulation Model<br />

(CGCM) that have been forced by estimates of historical


4140 Afr. J. Biotechnol.<br />

Figure 1. Location of the Large Karoun River Basin in Iran and some of its important<br />

installations.<br />

changes in anthropogenic and (natural external forces)<br />

most frequently in “temperature” on a global-scale. Also,<br />

it is indicated that according to the results of the studies<br />

carried out in different parts of the globe, the temperature<br />

variable has been influenced by the climate change.<br />

Accordingly, although in a study conducted in the UK<br />

by Hulme and Brown (1998), the internal climate<br />

variability range and its attribution to greenhouse gases is<br />

well recognized, but the uncertainty of the simulation<br />

models in internal climate variability calculations has<br />

been ignored. This is why in climate change studies there<br />

are various uncertainty resources in different stages<br />

required by simulation of the climatic variables by<br />

Atmosphere-Ocean General Circulation Mode (AOGCM)<br />

model on regional scales (Jones and Page, 2001)<br />

It can be seen therefore in most previous researches<br />

that first, the natural and internal climate variability have<br />

been investigated often in one-dimensional state using<br />

trend tests in order to detect the climate change that is<br />

not attributed to the greenhouse gases. Secondly, the<br />

uncertainty of the simulation models of the internal<br />

climate variability has not been considered. Thus, the<br />

present study intends to propose a new method for twodimensional<br />

detection of the climate change during the<br />

past periods, considering the uncertainty and the way it is<br />

attributed to greenhouse gases. Meanwhile, considering<br />

the fact that this is contrary to numerous studies in Iran,<br />

concerning the trend detection in climate variables time<br />

series, no works have been carried out regarding the<br />

occurred variability’s attribution to the greenhouse gases<br />

and uncertainty analysis.<br />

Description of the study area<br />

The Large Karoun River Basin is located in the southwestern<br />

part of Iran, and due to the fact that it<br />

encompasses the country's largest water potential, this<br />

basin houses the most and the greatest water projects in<br />

Iran. The basin area of 67,257 km 2 encompasses about<br />

5% of the total area of Iran. 67% of the basin area is<br />

mountainous and the remaining 33% is made of high<br />

plains. Its two main tributaries, including Karoun and Dez<br />

rivers, flow over Khouzestan Plain after journeying separately<br />

through anfractuous routes in mountains and join<br />

together at Band Ghir located 50 km off north of Ahwaz<br />

city. As such, the Karoun River eventually terminates at<br />

the Persian Golf (Figure 1).<br />

A brief description of the study area is thus presented<br />

and details can be found in Jamab (1999). Climatic


Mean Monthly precipitation(m m /m onth)<br />

200<br />

150<br />

100<br />

50<br />

0<br />

Jan Feb Mar Apr Mar Jun Jul Aug Sep Oct Nov Dec<br />

P Khoram abad P Shahrekord P Ahwaz P Pol shalo<br />

P Talezang P Gotvand T Khoramabad T Shahrekord<br />

T Ahwaz T Talezang T T Gotvand<br />

Gotvang Gotvan<br />

T Pol Shalo<br />

Figure 2. Mean monthly precipitation (P) and mean monthly temperature in different regions of the Large<br />

Karoun basin.<br />

variation in Large Karoun River Basin is numerous and<br />

the types of dry desert, semi dry, semi wet, wet, very wet<br />

Mediterranean and cold humid climates are found in it.<br />

Precipitation regime in the basin is Mediterranean, that is,<br />

the dry season exactly matches the summer and the<br />

rainfall season coincides with winter. About 96% of<br />

rainfall occurs between October and May which varies<br />

from 1800 mm /year in the heights of 150 mm/year in<br />

plain areas (Jamab, 1999).<br />

Fundamentally, Figures 2 and 3 show the precipitation<br />

and temperature conditions in different regions of the<br />

Large Karoun River Basin. As it is clear from the figures,<br />

a wide range of precipitation data have been recorded in<br />

basin stations, indicating various climates dominating the<br />

Large Karoun River Basin. This is due to the large extent<br />

and considerable heights of the basin which makes the<br />

investigation of the precipitation variable and climate<br />

conditions analysis dependant on the division of the basin<br />

into its constituting micro-climates. The classification of<br />

the micro-climates has been performed based on the<br />

precipitation pattern in relation with the region<br />

temperature, vegetation and height of different regions<br />

and lesser attention has been paid to the precipitation<br />

volume. This means that in classification of microclimates,<br />

some parameters like altitude, temperature and<br />

vegetation of land are more influential than precipitation<br />

volume. For example, as it can be seen from Figure 3,<br />

Zohrabi et al. 4141<br />

despite the identical volume of the rainfall in pluviometery<br />

stations of Ahwaz and Shahrkurd, these two regions have<br />

different climates due to their different height and<br />

temperature. Also, Sepid-dasht and Yasouj despite their<br />

identical volume of precipitation are located in two<br />

regions with different climates. So, the Large Karoun<br />

River Basin has been divided into four distinct climatic<br />

regions (Figure 1 and Table 1).<br />

Each region will be discussed as a separate uniform subbasin<br />

(Table 1) as follows:<br />

(1) Mountainous region of Karoun River Basin.<br />

(2) Mountainous region of Dez River Basin.<br />

(3) Middle part of the Large Karoun River Basin (from<br />

installed stations at an input of Karoun1 and Dez dams<br />

reservoirs to Ahwaz).<br />

(4) Southern regions of the Large Karoun River Basin<br />

(from Ahwaz to the Large Karoun estuary (Arab, 2009).<br />

MATERIALS AND METHODS<br />

Data<br />

Considering the climatic classification, data verification and<br />

suitability of the statistical period, precipitation data of more than 50<br />

years (1956 to 2009) and temperature data of more than 30 years<br />

(1971 to 2009), four main stations were selected in this basin<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

-5<br />

Mean Monthly T em perature( o C/m onth)


Row<br />

4142 Afr. J. Biotechnol.<br />

Mean annual precipitation (mm)<br />

1000<br />

900<br />

800<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

Shahrekord<br />

Figure 3. Mean annual precipitation (P) during 1956 to 2009 in different regions of the Large Karoun basin.<br />

Table 1. Geographical characteristics of the selected river stations.<br />

Different regions of Large<br />

Karoun River Basin<br />

Station<br />

name<br />

Long Lat<br />

Elevation<br />

masl<br />

Drainage<br />

area (km 2 )<br />

Time period<br />

P T<br />

1 Mountainous region of Karoun River Basin Pol Shalo 50.08 31.45 700 23400 1956- 2008 1971-2009<br />

2 Mountainous region of Dez River Basin Tale Zang 48.46 32.49 480 16213 1956- 2008 1971-2009<br />

3 Middle basin of Large Karoun River Basin Gotvand 48.49 32.15 75 32425 1956- 2008 1958-2009<br />

4 Southern region of Large Karoun River Basin Ahwaz 48.41 31.2 20 60737 1957- 2008 1957-2009<br />

(Table 1). The aforementioned data were acquired from “Iran<br />

Meteorological Organization” and “Ministry of Energy” [Iran Water<br />

Resource Management Company and Khouzestan Water and<br />

Power Authority (KWPA)].<br />

According to this classification, Pol-e Shaloo (located at Karoun3<br />

dam), Tale Zang (located upstream of Dez dam), Gotvand and<br />

Ahwaz stations are considered as the representative of the<br />

mountainous region of Karoun river basin, the mountainous region<br />

of Dez river basin, the middle part of the Large Karoun River Basin<br />

and the southern region of the Large Karoun River Basin,<br />

respectively (Figure 1 and Table 1).<br />

Simulation of climatic variables during the past periods using<br />

HadCm3 and CGCM3 models<br />

One of the methods for simulating internal climate variability within<br />

a region is to explore climatic variables time series in long-term<br />

records (that is, more than several hundred years). Due to the lack<br />

of long-term observation records around the world, the alternative<br />

method will be the use of a three-dimensional coupled ‘atmosphereocean<br />

general circulation model’ or AOGCM (Wilby and Harris,<br />

2006; Mitchell, 2003). These models are based on the laws of<br />

physics represented by mathematical relationships which are<br />

resolved in a three-dimensional network on the earth surface. In<br />

order to simulate the earth’s climate, the main climatic processes<br />

including atmosphere, cryosphere, biosphere and hydrosphere,<br />

were simulated in independent sub-models. So far, different general<br />

Ahwaz<br />

Pol Shalo<br />

Talezang<br />

Gotvand<br />

Station<br />

Sepiddasht<br />

Barz<br />

Armand<br />

circulation models have been developed by different research<br />

institutes including UKMO-HadCM3, CCCma-CGCM3, GFDL_CM2,<br />

CM2.1, NCAR_PCM, CCSM3 and CSIRO-MK3 (cited in IPCC-AR4,<br />

2007). In this research, to consider the uncertainty of the model, the<br />

outputs of two CGCM3 and HadCM3 models with spatial resolution<br />

of roughly 3.75 degrees lat/lon and 2.5/3.75 lat/lon, respectively,<br />

were used. In a specific type of simulation by this model, the<br />

amount of greenhouse gases over simulation time is kept at an<br />

observed level in the year 1850. In this type of simulation, known as<br />

the control run, the climatic variables are often simulated over a<br />

1000-year period. Obviously, due to the fixed amount of<br />

greenhouse gases in such simulations, the time series of the<br />

variable under study is only affected by internal forces of the<br />

climate system and thus determines the internal variability of the<br />

climate system. If it is assumed that no changes will occur in the<br />

external factors including solar radiations and volcanic activities<br />

over future periods (that is, the next one hundred years), one can<br />

conclude that such simulation reflects natural climate variability<br />

(Oldenborgh et al., 2005; Lambert et al., 2005).<br />

Calculation of interannual climate variability<br />

In this study, in order to separate climate changes caused by<br />

greenhouse gases from interannual variability, the variability range<br />

of the temperature and precipitation are first examined. On the<br />

other hand, the recorded statistical periods’ length available at<br />

gauging stations is not adequate for calculating the interannual<br />

Marghak<br />

Yasoj


climate variability of the study area. Also, the observation records of<br />

the recent decades have been probably affected by radiation force<br />

resulting from increasing greenhouse gases, thereby making<br />

separation of interannual variability from climate changes quite<br />

difficult. Thus, in order to show the interannual variability across a<br />

region, long-term records of 1000 years generated by the control<br />

run of AOGCM models are used (Ruosteenoja et al., 2002). To<br />

analyze the interannual variability range of two “temperature” and<br />

“precipitation” variables of the study area, first, their annual<br />

anomaly time series with respect to the average base period is<br />

calculated. [By definition, temperature anomaly is the temperature<br />

difference from a base temperature, while precipitation anomaly is<br />

the precipitation ratio difference from a base precipitation]. The<br />

world meteorological organization (WMO) has suggested that in<br />

order to harmonize the selection of the 30 years base period in<br />

different climate change studies and the possibility of comparing<br />

them, the 1961 to 1990 base period should be considered. On the<br />

other hand, as the organization recommends, where data recorded<br />

on the station of the study area for this period is not available, the<br />

period of 1971 to 2000 will be replaced (IPCC-TGCIA, 1999).<br />

So, because the statistics of the temperature variable of the Large<br />

Karoun River Basin upstream do not cover the 1961 to 1990 period,<br />

the period of 1971 to 2000 is considered as the base period. Then,<br />

it is assumed that the time series of these two variables follow twovariant<br />

normal distribution. With this assumption, the relationship<br />

governing the two-variant normal distribution of the temperature<br />

and precipitation anomaly will be realized as follows (Von Storch<br />

and Zwiers, 2002):<br />

1<br />

1<br />

2<br />

2<br />

⎧ ′ ′ ′ ′<br />

T<br />

⎨<br />

⎩<br />

T<br />

− 2ρ<br />

σ<br />

R<br />

σ<br />

2 2<br />

2<br />

− ρ σ T<br />

T R σ R<br />

+<br />

R<br />

⎫ 2<br />

⎬ = χ<br />

⎭<br />

Where, T ′ and R′ are temperature and precipitation anomalies,<br />

σ T σ and R are standard deviation of temperature and<br />

precipitation and ρ �represents the correlation between the<br />

2<br />

χ temperature and precipitation anomalies. The amount of is<br />

2<br />

χ determined by square distribution of with 2 degrees of freedom<br />

which is extracted from the respective tables at 95% confidence<br />

2<br />

χ level (df = 2, 95% → = 5.99). By plotting Equation (1) for 95%<br />

confidence level, elliptic circuits whose internal area indicates the<br />

interannual climate variability range for temperature and<br />

precipitation are obtained and its external area represents the<br />

variability related to other factors (like greenhouse gases).<br />

RESULTS<br />

Approximation of interannual climate variability in<br />

the study area<br />

Figure 4 shows the interannual climate variability range<br />

with regard to the calculated 95% confidence level in the<br />

study area. In this figure, the horizontal axis represents<br />

temperature anomaly, while the vertical axis shows<br />

precipitation anomaly with respect to the base period<br />

average of 1971 to 2000. As it can be seen from this<br />

figure, most of the points showing annual anomalies are<br />

depicted inside the ellipse or too close to its perimeter. It<br />

means that the interannual climate variability range of the<br />

(1)<br />

Zohrabi et al. 4143<br />

region has been plotted quite well by the ellipses. Overall,<br />

due to low skewness, the depicted figure indicates the<br />

assumed two-variant normal distribution of temperature<br />

and precipitation as acceptable for plotting the<br />

interannual climate variability range of the region under<br />

study. On the other hand, the excellent overlap obtained<br />

from each of the two models shows low uncertainty of the<br />

model selection. Therefore, it can be concluded with 95%<br />

probability that the combined interannual temperatureprecipitation<br />

variability anomaly values of the Large<br />

Karoun River Basin are less than 1.5°C and 75%,<br />

respectively.<br />

After the determination of the interannual climate variability<br />

range within the study area, for evaluating the<br />

significance of climate change in the past half century (its<br />

attribution to greenhouse gases), the values of these<br />

variability were compared with the observed annual<br />

anomalies of temperature and precipitation for each<br />

region of the Large Karoun River Basin. Figure 5 shows<br />

the two-variant trend of temperature-precipitation anomalies<br />

during the past half century with respect to<br />

average (1971 to 2000) and the interannual climate<br />

variability range in different regions of the Large Karoun<br />

River Basin.<br />

Since the inside area of each ellipse represents the<br />

combined interannual temperature-precipitation variability<br />

range within the study area, a point outside this range is<br />

indicative of the temperature and precipitation changes<br />

being dependant on factors other than interannual<br />

climate variability. Frequency time evolution of annual<br />

climate in the Large Karoun River Basin over the last<br />

years (1971 to 2009) can be traced from A to Z. As the<br />

points, A and Z, are considered as the start and ending<br />

years of the recent century, respectively, the results of<br />

the two-dimensional trend of temperature-precipitation<br />

anomalies for the past half-century with respect to the<br />

average (1971 to 2000 period) of four regions specified in<br />

Figure 5 shows an increase in temperature and a<br />

decrease in precipitation. Approximately, in all regions of<br />

the Large Karoun River Basin, especially the most<br />

southern part of it, the “temperature” found throughout<br />

the ending years of this period lies outside the interannual<br />

climate variability range, indicating the significance<br />

of climate change (that is, its relationship with the<br />

increase of greenhouse gases) in these years. The<br />

droughts that occurred in the ending years of the period<br />

confirm these results. Meanwhile, water years of 1999 to<br />

2000 and 2000 to 2001 and also 2007 to 2008 and 2008<br />

to 2009 have been defined as ‘dry years’. A review of<br />

annual precipitation changes in the representative<br />

northern stations of Karoun and Dez river basins, namely<br />

Pol-e Shallo and Taleh Zang stations shows more than<br />

50% decrease in precipitation than under normal<br />

conditions. As such, higher precipitation in these regions<br />

of the basin compared with that of downstream regions,<br />

considerably reduces the basin yield, especially on<br />

upstream Dez and Karoun 3 dams at Pol-e Shallo and<br />

Taleh Zang stations (Arab, 2009). The recent trend towards


4144 Afr. J. Biotechnol.<br />

Figure 4. Interannual temperature-precipitation variability, with respect to the average period of 1971<br />

to 2000 for Large Karoun River Basin.<br />

Figure 5. Two-dimensional trend of annual temperature–precipitation anomalies for the past half<br />

century with respect to the average period of 1971 to 2000 for the Large Karoun River Basin,<br />

together with interannual climate variability range. a: Mountainous region of Karoun river (Pole<br />

Shalo station); b: Mountainous region of Dez river (Talezang station); c: Middle basin of Large<br />

Karoun River Basin (Gotvand station); d: Southern region of the Large Karoun River Basin<br />

(Ahwaz station). Black points: observed data Grey points: Ten last years.


Figure 5. Continued<br />

warming and drying, evidenced in Figure 5 is reinforced<br />

and, in the context of the past half century of Large<br />

Karoun River Basin climate variability, it becomes more<br />

significant. Therefore, detecting the range of inter-annual<br />

climatic variability of a region helps in identifying the<br />

years when extreme events such as drought and flood<br />

occur.<br />

DISCUSSION<br />

In this study, an attempt has been made to present a<br />

method of detecting past climate change in a regional<br />

scale and attributing it to greenhouse gases with regard<br />

to the climate process in a region. For this purpose,<br />

initially the variability range of climate variables related to<br />

the regional interannual variability was determined using<br />

control run data of two AOGCM models. The two models<br />

Zohrabi et al. 4145<br />

data were used to study the uncertainty of two AOGCM<br />

models in interannual variability of the study area. As<br />

such, it was assumed that the probability function of the<br />

temperature and precipitation was a two-variant normal<br />

distribution. With this assumption, the interannual climate<br />

variability range of the region was determined. The<br />

results of this study showed that: Firstly, the assumption<br />

of normality of temperature-precipitation probability function<br />

was acceptable due to low skewness of the plotted<br />

range. Secondly, the uncertainty between AOGCM<br />

models in estimating the natural climate variability range<br />

is low.<br />

The comparison between the two-dimensional observed<br />

temperature-precipitation trend of the region and the<br />

interannual variability range showed that the climatic<br />

variable trend in the past half century in Large<br />

Karoun river basin had led to increased temperature and<br />

decreased precipitation, denoting the fact that the


4146 Afr. J. Biotechnol.<br />

temperature variable has been influenced by the climate<br />

change. Khordadi et al. (2008) studies also show that<br />

regional climate in Iran is becoming dryer and warmer,<br />

and probably this will continue in the future (Montazeri<br />

and Fahmi, 2003). Also, the occurrence of low-flow and<br />

drought crisis in the second half of the century has been<br />

more frequent, incurring considerable damages because<br />

of decreased quality water resources on regional and<br />

national scales. Meanwhile, the impacts of greenhouse<br />

gases are clearly noticeable in the ending years of the<br />

observation period. In general, the proposed method in<br />

this paper can be used as an alternative to conventional<br />

stochastic methods in which only the data trend tests<br />

(such as Mann-Kendall test) for detecting and attributing<br />

climate change in the past periods are used.<br />

ACKNOWLEDGEMENTS<br />

The authors wish to thank organizations and individuals<br />

who supported this work. Also, they wish to thank, in a<br />

special way, the Ministry of Energy, Khouzestan Water<br />

and Power Authority (KWPA) and Iran Water Resource<br />

Management Company for the provision of necessary<br />

data sets and for their valuable support during this study.<br />

REFERENCES<br />

Arab DR (2009). Analysis drought experiance of 2008-2009 water year<br />

in the Large Karoun River Basin and introduce the wayesfor the<br />

future. Rhbord Daneshpoya Consulting Engineers in Association with<br />

KHozestan Water and Power Authority Ministry of Energy, Iran (In<br />

Persian).<br />

Baede AP, Ahlonsou E, Ding Y, Schimel D (2001). The Climate System:<br />

an Overview. In: Climate Change 2001: The Scientific Basis.<br />

Contribution of Working Group I to the TAR of the IPCC. Cambridge<br />

University Press, Cambridge and New York. pp. 525-582.<br />

Braganza K, Karoly DJ, Hirst AC, Stott P, Stouffer RJ, Tett SFB (2004).<br />

Simple indices of global climate variability and change Part II:attribution of<br />

climate change during the twentieth century. Climate Dynamics, 22: 823-<br />

838<br />

Barnett T, Zwiers F, Gabriele H, Allen M, Crowley T, Gillett<br />

N,Hasselmann K, Jones P, Santer B, Schnur R, Stott P, Taylor K,<br />

Tett S, The International AD HOC Detection and Attribution Group<br />

(2005). Detecting and Attributing External Influences on the Climate<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4147-4156, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1905<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Screening and optimization of extracellular lipases by<br />

Acinetobacter species isolated from oil-contaminated<br />

soil in South Korea<br />

Periasamy Anbu # *, Myoung-Ju Noh # , Da-Hye Kim, Jun-Seok Seo, Byung-Ki Hur* and Kyeong<br />

Ho Min<br />

Department of Biological Engineering, College of Engineering, Inha University, Incheon 402-751, Republic of Korea.<br />

Accepted 6 December, 2010<br />

A total of 53 strains of bacteria were isolated from oil contaminated soil collected in South Korea. The<br />

isolated bacteria were screened using spirit blue agar and Rhodamine-B agar media. Two of the<br />

isolated strains exhibited a greater clear zone than the others, indicating higher lipase activity.<br />

Therefore, these two strains (BK43 and BK44) were selected and identified based on their<br />

morphological and physiological characteristics. The 16S rRNA gene sequencing was also<br />

implemented. Phylogenetic analyses based on the results of 16S rRNA gene sequencing revealed that<br />

BK43 and BK44 were close in identity to Acinetobacter junii. The optimum pH and temperature for<br />

lipase production by BK43 were found to be 6.0 at 30°C, after 24 h of incubation, while BK44 were found<br />

to be 6.0 at 25°C, after 12 h of incubation. In addition, increased enzymatic production was obtained<br />

when the organisms were cultured in medium supplemented with 1% sucrose as the carbon source.<br />

Among the different lipase inducers tested, both strains utilized Tween 80 and produced a great level of<br />

extracellular lipase. Overall, the results of the present study demonstrate that the genus Acinetobacter<br />

is good for extracellular lipase production under acidic conditions.<br />

Key words: Acinetobacter, lipase, optimization, screening.<br />

INTRODUCTION<br />

Lipases are triacylglycerol acylhydrolases (EC 3.1.1.3)<br />

that catalyze the hydrolysis of triacylglycerol to glycerol<br />

and fatty acids (Sharma et al., 2001). Lipases are ubiquitous<br />

in nature and produced by animals, plants and<br />

microorganisms. Currently, microbial lipases are receiving<br />

a great deal of attention due to their potential for use<br />

in industrial processes. Most commercial extracellular<br />

products are obtained from microorganisms and have the<br />

ability to catalyze a wide variety of reactions in aqueous<br />

and non-aqueous phases (Saxena et al., 2003). Microbial<br />

lipases have also received more attention due to their<br />

*Corresponding author. E-mail: anbu25@yahoo.com,<br />

biosys@inha.ac.kr. Tel: +82-32-860-7512. Fax: +82-32-872-<br />

4046.<br />

#These authors contributed equally to this work.<br />

selectivity, stability and substrate specificity (Treichel et<br />

al., 2010). Particularly, extracellular bacterial lipases are<br />

of commercial importance in the food, detergent, cosmetic<br />

and pharmaceutical industries, as well as<br />

inprocesses involving organic synthesis and fat/oil degradation<br />

(Jaeger et al., 1994).<br />

Extracellular lipase production by bacteria are influenced<br />

by the composition of the growth medium, cultivation<br />

conditions and many physico-chemical (pH and temperature)<br />

and nutritional factors (carbon, nitrogen and lipid<br />

sources) (Jaeger et al., 1994). Most bacterial lipases are<br />

generally induced in medium that contains the proper<br />

fatty acids and oils (Joseph et al., 2006; Immanuel et al.,<br />

2008; Kiran et al., 2008). However, a few investigators<br />

have reported that the activity of lipase produced by<br />

Pseudomonas aeruginosa EF2 and Acinetobacter<br />

calcoaceticus was repressed by the presence of a lipid<br />

source in the medium (Gilbert et al., 1991; Mahler et al.,<br />

2000). In addition, Lin et al. (2006) have found that


4148 Afr. J. Biotechnol.<br />

vitamins influenced lipase production by the edible Basidiomycetes,<br />

Antrodia cinnamomea.<br />

A variety of extracellular lipases of bacterial origin with<br />

different properties and specificities have been described<br />

and characterized. Extracellular lipase was isolated from<br />

many different bacterial species, including Bacillus<br />

(Ertugrul et al., 2007) and Pseudomonas (Kiran et al.,<br />

2008; Wang et al., 2009). Additionally, many studies have<br />

been con-ducted to evaluate lipase production under<br />

alkaline condi-tions (Chen et al., 1998; Kasana et al.,<br />

2008; Kiran et al., 2008; Wang et al., 2009) but few<br />

studies have focused on acidic lipases (Bradoo et al.,<br />

1999; Liu et al., 2007).<br />

Lipase production by Acinetobacter radioresistens<br />

under alkaline conditions in the presence of n-hexadecane<br />

was evaluated (Chen et al., 1998). In recent<br />

years, most studies conducted to improve lipase production<br />

have focused on their production by one important<br />

genus, Acinetobacter (Chen et al., 1998; Dharmsthiti et<br />

al., 1998). Acinetobacter strains have been isolated from<br />

a variety of sources, including soil (Bompensieri et al.,<br />

1996) and water (Blaise and Armstrong, 1973). However,<br />

industries are still seeking strains of bacteria that produce<br />

a high yield of potent lipase with excellent properties<br />

using cost-effective methods. Therefore, the present<br />

study was conducted to isolate novel lipase producing<br />

bacteria, after having the isolated strains identified and<br />

the culture conditions for optimal production of extracellular<br />

lipase determined.<br />

MATERIALS AND METHODS<br />

Materials<br />

Gum arabic, p-nitrophenyl palmitate, sodium deoxycholate and<br />

tributyrin were purchased from Sigma (USA). Tween 80 was<br />

obtained from Duchefa, Biochemica (The Netherlands). All other<br />

chemicals used in this study were of analytical grade.<br />

Isolation and screening of lipase-producing microorganisms<br />

Fifty three strains of bacteria were isolated from oil contaminated<br />

soil collected in South Korea using serial dilution. The isolates were<br />

maintained on LB agar plates at 4°C and stored at -80°C in glycerol.<br />

The isolated bacteria were screened for the production of lipase<br />

using spirit blue agar containing lipase reagent as Marshall (1992)<br />

method. The lipolytic activities of all isolates were then compared by<br />

measuring the width of the areas of clearing or areas of deep blue<br />

color around the colonies. In addition, the same strains were<br />

screened using the Rhodamine-B method (Kouker and Jaeger,<br />

1987). The bacterial strains were inoculated on the agar plates,<br />

after which the lipolytic activity was determined by the formation of<br />

an orange fluorescent zone around the fungal colonies that was<br />

visible upon UV irradiation (350 nm).<br />

The liquid culture medium (Tryptic soy broth) used for lipase<br />

production contained the following (g/L): Pancreatic casein, 17;<br />

enzymatic digest soybean, 3; NaCl, 5; dipotassium phosphate, 2.5;<br />

glucose, 2.5; pH 7.5. To produce the lipase, an Erlenmeyer flask<br />

(250 ml) containing 50 ml of medium was inoculated with an aliquot<br />

of approximately 1% of the preculture prepared in LB broth (g/L):<br />

Tryptone, 10; yeast extract, 5; NaCl, 10; pH 7.0. The inoculated<br />

flasks were then incubated at room temperature with constant<br />

shaking at 180 rpm. Then, the cell-free supernatant was recovered<br />

by centrifugation (10,000 rpm, 10 min at 4°C) and the clear supernatant<br />

was used to determine the lipase activity. The growth of the<br />

microorganisms was then determined by measuring the absorption<br />

at 600 nm.<br />

Identification of the microorganisms<br />

The lipase producing bacteria was identified by morphological and<br />

biochemical characterizations. A gram (positive/negative) stain<br />

reaction was conducted using the Biomerieux system according to<br />

the manufacturer’s instructions. The biochemical tests were conducted<br />

using the API 20NE system according to the manufacturer’s<br />

protocols (Biomerieux). The identification was further confirmed by<br />

the 16S rRNA gene sequencing method. Briefly, genomic DNA was<br />

extracted using a genomic purification kit (Promega, USA). The<br />

DNA was then amplified by PCR using the following universal 16S<br />

rRNA gene primers, 8-27F: 5’-AGAGTTTGATCCTGGCTCAG-3’<br />

and 1472R: 5’-TACGGYTACCTTGTTACGACTT-3’. PCR was<br />

conducted by subjecting a reaction mixture to initial denaturation at<br />

94°C for 5 min, followed by 35 cycles of 94°C for 45 s, 55°C for 1<br />

min, 72°C for 1 min and a final extension step at 72°C for 10 min.<br />

Phylogenetic analysis<br />

The 16S rRNA gene sequence was compared with sequences<br />

available in the nucleotide database using the BLAST algorithm at<br />

the NCBI. Phylogenetic tree was constructed using the neighbor<br />

joining method (http://www.phylogeny.fr).<br />

Fatty acid analysis<br />

To analyze total cellular fatty acid content, the bacterial cells were<br />

cultured at 30°C for 24 h, after which the fatty acid profiles were<br />

determined based on the method described by Lepage and Roy<br />

(1984) using a gas chromatograph (Hewlett Packard 6890, USA)<br />

equipped with a flame-ionized detector (FID) and a DB23 (30 m ×<br />

0.25 mm × 0.26 µm, Agilent Technologies, USA) capillary column.<br />

Lipase assay<br />

Lipase activity was assayed quantitatively using 4-nitrophenyl<br />

palmitate as the substrate according to the method described by<br />

Winkler and Stuckmann (1979). Briefly, 10 ml of isopropanol<br />

containing 30 mg of 4-nitrophenyl palmitate (pNPP) was mixed with<br />

90 ml of 0.05 M phosphate buffer (pH 8.0) containing 207 mg of<br />

sodium deoxycholate and 100 mg of gum arabic. A total of 2.4 ml of<br />

freshly prepared substrate solution was then pre-warmed at 37°C<br />

and mixed with 0.1 ml of enzyme solution. After incubation at 37°C<br />

for 15 min, the absorbance was measured at 410 nm against an<br />

enzyme free control. One enzyme unit was defined as the amount<br />

of enzyme that liberated 1 µmol of 4-nitrophenol per minute under<br />

the assay conditions.<br />

Optimization of lipase production<br />

Initially, the lipase production was determined after culture in tryptic<br />

soy broth from 6 to 48 h at 28°C. The lipase production was then<br />

evaluated at different pHs ranging from 5.0 to 10.0 and at tempera-


Table 1. Screening isolated bacterial strains for extracellular lipase.<br />

Isolates No.<br />

Sprit blue<br />

agar (mm)<br />

Rhodamine-B agar<br />

(mm)<br />

Isolate No.<br />

Sprit blue<br />

agar (mm)<br />

Anbu et al. 4149<br />

Rhodamine-B agar<br />

(mm)<br />

BK01 - ++ BK28 - -<br />

BK02 ++ - BK29 + -<br />

BK03 ++ + BK30 ++ +<br />

BK04 - - BK31 + +++<br />

BK05 - ++ BK32 ++ +<br />

BK06 + ++ BK33 - +<br />

BK07 ++ ++ BK34 - ++<br />

BK08 - + BK35 - -<br />

BK09 - ++ BK36 ++ +++<br />

BK10 + + BK37 - -<br />

BK11 - - BK38 ++ +<br />

BK12 - - BK39 - ++<br />

BK13 - - BK40 - -<br />

BK14 - + BK41 ++ +<br />

BK15 - - BK42 + -<br />

BK16 - - BK43 +++ +++<br />

BK17 - + BK44 +++ +++<br />

BK18 ++ + BK45 - -<br />

BK19 - - BK46 - -<br />

BK 20 ++ - BK47 - -<br />

BK21 - - BK48 + -<br />

BK22 + - BK49 ++ +<br />

BK23 + - BK50 - -<br />

BK24 + - BK51 + -<br />

BK25 ++ + BK52 ++ ++<br />

BK26 - ++ BK53 - +<br />

BK27 ++ ++<br />

+++, High activity (above 50 mm); ++, moderate activity (above 25 to below 50 mm); +, low activity (below 25 mm); -, no activity.<br />

tures of 20, 25, 30, 37 and 45°C. The pH of the medium was<br />

adjusted prior to autoclaving. Further, the changes in lipase<br />

production in response to the following carbon sources (1%) were<br />

evaluated: glucose (control), fructose, xylose, maltose, lactose,<br />

sucrose, mannitol and starch. The carbon sources were sterilized<br />

separately and then aseptically added to the autoclaved medium.<br />

The following substances were used as lipase inducers (1%): olive<br />

oil, sesame oil, soybean oil, tributyrin and Tween 80. Medium that<br />

contained no lipase inducer was used as a control.<br />

RESULTS AND DISCUSSION<br />

Isolation, screening and identification of lipase<br />

producing bacteria<br />

A total of 53 distinct morphological bacterial strains were<br />

isolated from oil-contaminated soil in South Korea. The<br />

isolated strains were screened for extracellular lipase<br />

using spirit blue agar and Rhodamine-B agar media. Two<br />

of the isolates produced a larger clear zone than the<br />

others, indicating higher lipase activity. These two strains<br />

that produced blue color around bacterial colonies, were<br />

grown on spirit blue agar medium due to the hydrolysis of<br />

tributyrin and Tween 80. Furthermore, a fluorescent zone<br />

on Rhodamine-B agar medium was observed under UV<br />

irradiation (350 nm), indicating that the two strains were<br />

able to hydrolyze olive oil (Table 1). The earlier results<br />

confirmed that the two strains were potent to produce<br />

lipase and also indicate that lipolytic bacteria are widespread<br />

in the oil-contaminated environments. The selected<br />

strains (BK43 and BK44) were then identified based<br />

on morphological, physiological and biochemical characterizations.<br />

The physiological and biochemical characteristics<br />

are presented in Table 2. The results showed that<br />

both strains are gram negative, aerobic and coccoid rod<br />

shape. A biochemical test was conducted using an API<br />

identification kit. Both strains were oxidase negative and<br />

capable of assimilating caprate and malate (Table 2),<br />

which indicates that strains BK43 and BK44 were closely<br />

related to Acinetobacter junii. Taken together, these<br />

characteristics indicated that both strains belong to the<br />

genus Acinetobacter.


4150 Afr. J. Biotechnol.<br />

Table 2. The morphological, biochemical and physiological characteristics of strains BK43 and<br />

BK44.<br />

Tests Reactions BK43 BK44<br />

Gram staining - Negative Negative<br />

Shape - Coccoid rod Coccoid rod<br />

NO3 Nitrate/nitrite reduction - -<br />

TRP indole production - -<br />

GLU Acid production from glucose - -<br />

ADH arginine dihydrolase - -<br />

URE Urease - -<br />

ESC β-glucosidase - -<br />

GEL Protease (gelatin hydrolysis) - -<br />

PNPG β-galactosidase - -<br />

GLU assimilation of glucose - -<br />

ARA assimilation of arabinose - -<br />

MNE assimilation of mannose - -<br />

MAN assimilation of mannitol - -<br />

NAG assimilation of N-acetyl-glucosamine - -<br />

MAL assimilation of maltose - -<br />

GNT assimilation of gluconate - -<br />

CAP assimilation of caprate + +<br />

ADI assimilation of adipate - -<br />

MLT assimilation of malate + +<br />

CIT assimilation of citrate - -<br />

PAC assimilation of phenyl-acetate - -<br />

OX cytochrome oxidase - -<br />

+; Positive result, -; negative result.<br />

Sequencing and phylogenetic analysis<br />

The identities of the bacteria were further confirmed by<br />

16S rRNA sequencing. Approximately 1381 and 1383 bp<br />

sequences were obtained from BK43 and BK44,<br />

respectively, and then aligned with other 16S rRNA sequences<br />

available in the GenBank database. A phylogenetic<br />

tree was then constructed using the neighbor-<br />

joining method by only culturable Acinetobacter species<br />

(Figure 1). The phylogenetic analysis indicated that the<br />

sequences of strain BK43 and BK44 were highly homologous<br />

(99 and 100%, respectively) with the sequence of<br />

A. junii (NCBI accession No. AM184300) followed by<br />

Acinetobacter sp. (NCBI accession No. AM412159). The<br />

16S rRNA sequences of strains BK43 and BK44 were<br />

deposited in GenBank under accession numbers<br />

GQ202270 and GQ202271, respectively. Based on these<br />

results, BK43 and BK44 are Acinetobacter sp.<br />

Fatty acid analysis<br />

The fatty acid profiles of the Acinetobacter species<br />

isolated in this study are presented in Table 3. Although<br />

the patterns of fatty acid compositions of both strains<br />

were similar, the fatty acid contents differed. The fatty<br />

acid profiles were more similar to A. junii (Yoon et al.,<br />

2004) than to other Acinetobacter species such as<br />

Acinetobacter antiviralis (Lee et al., 2009) and A.<br />

radioresistens (Nishimura et al., 1988). The major fatty<br />

acids produced by the strains were C16:0, C16:1 (n-7)<br />

and C18:1 (n-9). However, the C18:1 (n-9) accumulated<br />

more than 50% in both strains. These results further<br />

suggest that the isolated strains BK43 and BK44 are<br />

Acinetobacter sp. The identified bacterial strains BK43<br />

and BK44 were used for further studies to optimize their<br />

extracellular lipase production.<br />

Production of extracellular lipase<br />

Most extracellular bacterial lipases are influenced by<br />

nutritional and physiological factors such as pH, temperature<br />

and carbon sources (Immanuel et al., 2008; Kiran<br />

et al., 2008; Wang et al., 2009). The lipase activity of both<br />

isolates was evaluated from 6 to 48 h. The maximum<br />

lipase production was observed after 12 h of incubation<br />

for BK44 and after 24 h for BK43 (Figure 2). Furthermore,<br />

the enzyme activity was gradually decreased after 12 and<br />

24 h, respectively. Therefore, the optimum incubation


Figure 1. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the<br />

relationships between strains BK43, BK44 and related strains. Bar, 0.005 changes per nucleotide<br />

position.<br />

periods for each strain were maintained throughout the<br />

studies. The results of the present study are similar to<br />

those of several other studies in which the optimum incubation<br />

period for lipase production was found to be 12 to<br />

24 h (Chen et al., 1998; Dharmsthiti et al., 1998).<br />

However, some bacterial species required more than 2<br />

days for the maximum lipase activity to occur (Joseph et<br />

al., 2006; Kiran et al., 2008; Wang et al., 2009).<br />

Anbu et al. 4151<br />

Theresults of the present study indicate that the<br />

organisms isolated here can be used to produce large<br />

quantities of lipase within a short period of time.<br />

Both strains were able to produce a high level of lipase<br />

at pH 6.0. However, the enzyme activity decreased<br />

rapidly at alkaline pHs. Figure 3A shows that both strains<br />

prefer an acidic pH. These findings differ from the results<br />

of other studies in that the optimum lipase production


4152 Afr. J. Biotechnol.<br />

Lipase activity (U/m l)<br />

1.6<br />

1.4<br />

1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

Table 3. Fatty acid profiles of Acinetobacter species.<br />

Fatty acids Contents in BK43 (%) Contents in BK44 (%)<br />

C10:0 1.504 1.864<br />

C12:0 1.602 1.497<br />

C14:0 trace trace<br />

C15:1 3.6 3.09<br />

C16:0 19.2 20.81<br />

C16:1 (n-9) trace 1.506<br />

C16:1 (n-7) 16.31 16.86<br />

C17:0 trace trace<br />

C17:1 trace trace<br />

C18:0 trace trace<br />

C18:1(n-9) 54.2 51.524<br />

Trace: fatty acids present in amounts less than 1%.<br />

BK43<br />

BK44<br />

6 12 24 36 48<br />

Incubation periods (h)<br />

Figure 2. Effect of different incubation periods on lipase production. Each point represents the<br />

mean ± SEM of three independent experiments.<br />

occurred at neutral pH (Joseph et al., 2006) or alkaline<br />

pH (Chen et al., 1998; Kiran et al., 2008; Wang et al.,<br />

2009), but similar at pH 6.0 (Ertugrul et al., 2007). Most<br />

bacterial species are able to produce greater amounts of<br />

lipase at pH 6.5 to 7.0 (Dharmsthiti et al., 1998; Gao et al.,<br />

2004; Joseph et al., 2006). Most reports, available regarding<br />

the production of lipases by fungi, involved studies<br />

conducted under acidic conditions (Cihangir and Sarikaya,<br />

2004; Mhetras et al., 2009).<br />

Among different temperatures tested (20 to 37°C), the<br />

highest production by BK43 was obtained at 30°C, while<br />

the highest production by BK44 was obtained at 25°C<br />

(Figure 3B). In the case of BK44, approximately 25% of<br />

the enzyme activity was lost when the temperature increased<br />

from 25 to 30°C. In addition, the enzyme<br />

production by both strains has decreased dramatically at<br />

37°C, which indicates that these strains are unable to<br />

grow and produce lipase at higher temperatures. Many<br />

species of Acinetobacter have been reported to be<br />

psychrophilic and psychrotrophic (Kasana et al., 2008;


Figure 3. Effect of different pHs (A) and temperatures (B) on lipase production. Each point<br />

represents the mean ± SEM of three independent experiments.<br />

Park et al., 2009), however, the strains isolated here<br />

failed to grow and produce lipase at low temperatures<br />

even after 1 week of incubation. The optimum temperature<br />

for lipase production was 25 to 30°C, which agrees<br />

with the production of lipase by many microorganisms,<br />

including A. radioresistens and A. calcoaceticus LP009<br />

(Chen et al., 1998; Dharmsthiti et al., 1998; Kiran et al.,<br />

2008).<br />

A<br />

B<br />

Anbu et al. 4153<br />

Several studies have shown that lipase production was<br />

influenced by different carbon sources present in media<br />

(Mahler et al., 2000; Immanuel et al., 2008). In general,<br />

the required specific carbon source and its concentration<br />

differ among organisms. Therefore, in this study, various<br />

carbon sources (1%) were added to the culture medium<br />

and their effects on lipase production, by both strains,<br />

were evaluated. The greatest increase in lipase production


4154 Afr. J. Biotechnol.<br />

B<br />

A<br />

Figure 4. Effect of various carbon sources (A) and lipase inducers (B) on lipase production.<br />

Each point represents the mean ± SEM of three independent experiments.<br />

by both strains was observed in response to supplementation<br />

of the culture medium with sucrose as the<br />

carbon source, followed by lactose in the case of BK43<br />

and xylose in the case of BK44 (Figure 4A) compared<br />

with glucose (control). Sucrose has been reported to<br />

have similar effects on lipase production by Bacillus<br />

pumilus SG2 (Sangeetha et al., 2008). The other carbon<br />

sources evaluated in this study, such as fructose, starch


and mannitol, led to a decrease in lipase production by<br />

BK44 of more than 50%. These results suggest that the<br />

above carbon sources act as inhibitors of lipase production<br />

and indicate that the carbon source has the potential<br />

to increase the lipase production significantly.<br />

Lipase inducers were evaluated as shown in Figure 4B,<br />

lipase production by both strains increased dramatically<br />

(2-fold) when 1% Tween 80 was added to the media.<br />

However, a moderate level of lipase production by BK43<br />

and BK44 was obtained when soybean and sesame oil,<br />

respectively, were used as the lipase inducers (Figure<br />

4B). These findings agree with the results of other studies<br />

in which other lipids induced lipase production (Gilbert et<br />

al., 1991; Joseph et al., 2006; Immanuel et al., 2008;<br />

Kiran et al., 2008). Similarly, Dharmsthiti et al. (1998) and<br />

Gao et al. (2004) reported that lipase production by A.<br />

calcoaceticus LP009 and Serratia marcescens ECU1010<br />

was induced by 1 and 0.5% Tween 80, respectively.<br />

Conversely, Joseph et al. (2006) reported that Tween 20<br />

and 80 induced a poor level of lipase production by<br />

Staphylococcus epidermis. In the present study, other<br />

lipase inducer such as tributyrin resulted in very low<br />

enzyme production by both strains.<br />

The results of the present study provide useful information<br />

for the optimization of culture conditions such as<br />

carbon sources and lipase inducers, and physicochemical<br />

properties such as pH and temperature to<br />

provide the best lipase production by Acinetobacter<br />

species. These results clearly demonstrated that lipaseproducing<br />

bacteria are widespread in oil contaminated<br />

soil. The optimized growth conditions developed in this<br />

study can be used for a large scale in industrial purposes.<br />

Furthermore, the majority of studies conducted to date<br />

have evaluated lipase production under alkaline conditions;<br />

therefore, the results of the present study will be<br />

useful for development of methods of lipase production<br />

under acidic conditions. To our knowledge, this is the first<br />

report on the highest lipase production in Acinetobacter<br />

species under acidic conditions. The final optimized medium<br />

resulted to about 5.9 fold (BK43) and 5.7 fold<br />

(BK44) more lipase production when compared with<br />

lipase obtained in the original medium. More studies will<br />

be conducted to purify and characterize the acidic lipase<br />

produced by the two strains isolated here under optimized<br />

culture and physico-chemical conditions.<br />

ACKNOWLEDGEMENT<br />

This work was supported by Inha University Grant, Inha<br />

University, Republic of Korea.<br />

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Review on Microbial Lipases Production. Food Bioprocess Technol.<br />

3: 182-196.<br />

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Purification and characterization of extracellular lipases from<br />

Pseudomonas monteilii TKU009 by the use of soybeans as the<br />

substrate. J. Ind. Microbiol. Biotechnol. 36: 65-73.<br />

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other polysaccharides greatly enhance the formation of exolipase by<br />

Serratia marcescens. J. Bacteriol. 138: 663-670.<br />

Yoon MY, Shin PK, Han YS, Lee SH, Park JK, Cheong CS (2004).<br />

Isolation of an Acinetobacter junii SY-01 strain producing an<br />

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precursor and some properties of the lipase. J. Microbiol. Biotechnol.<br />

14: 97-104.


African Journal of Biotechnology Vol. 10(20), pp. 4157-4165, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2085<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journal<br />

Full Length Research Paper<br />

Antifungal activity of selected plant leaves crude<br />

extracts against a pepper anthracnose fungus,<br />

Colletotrichum capsici (Sydow) butler and bisby<br />

(Ascomycota: Phyllachorales)<br />

Lucy Johnny*, Umi Kalsom Yusuf and R. Nulit<br />

Department of Biology, Faculty of Science, University Putra Malaysia, 43400 UPM<br />

Serdang, Selangor Darul Ehsan, Malaysia.<br />

Accepted 8 April, 2011<br />

The antifungal activities of the leaves extract of 15 selected medicinal plants; Alpinia galanga (L.) Willd.,<br />

Alstonia spatulata Blume., Annona muricata L., Blechnum orientale L., Blumea balsamifera L., Centella<br />

asiatica L., Dicranopteris linearis (Burm. f.) Underw., Dillenia suffruticosa (Griff ex Hook.f. and<br />

Thomson) Martelli, Litsea garciae Vidal., Melastoma malabathricum L., Momordica charantia L.,<br />

Nephrolepis biserrata (Sw.), Pangium edule Reinw., Piper betle L. and Polygonum minus Huds., were<br />

evaluated on the plant pathogenic fungus, Colletotrichum capsici which was isolated from chilli. The<br />

antifungal assay was carried out in potato dextrose media in five different treatments, which were<br />

distilled water as the negative control, crude extract of leaves in methanol, chloroform, acetone and<br />

Kocide 101 as the positive control. They were carried out in three replicates. The two-way analysis of<br />

variance (ANOVA) was carried out on all the data to justify the difference between critical difference<br />

(CD) of mean (P = 0.05) and coefficient of variation (CV %) in terms of mean percent reduction in colony<br />

diameter, sporulation and minimum inhibitory concentration (MICs) of C. capsici to take statistical<br />

decisions. Crude extract of P. betle in all the solvents was found to be the most effective and exhibited<br />

the highest antifungal activities. Crude extract of P. betle in methanol inhibited 85.25% of radial growth<br />

of C. capsici followed by 78.53% leaves crude extract in chloroform and 73.58% leaves crude extract in<br />

acetone at the concentration of 10 µg/ml (p < 0.05). The exact concentrations that had definite potential<br />

to fully restrict the growth (100% inhibition) of C. capsici (MIC) by P. betle was 12.50 µg/ml in methanol,<br />

17.50 µg/ml in chloroform and 15.00 mg/ml in acetone. The sporulation assay also revealed that, P. betle<br />

leaves crude extracts showed the highest inhibition of spore germination rate of C. capsici overall at<br />

the concentration of 10 µg/ml; with 80.93% inhibition by leaves crude extracts in methanol, 74.09% by<br />

leaves crude extracts in chloroform and 72.91% by leaves crude extracts in acetone. Concentration of<br />

plant leaves crude extracts that inhibited 50% or more of the radial growth and sporulation was<br />

considered as effective (LC ≥ 50). As a conclusion, the leaf crude extracts that exhibited effectiveness<br />

by showing more than 50% inhibition against C. capsici should be considered for further evaluation. P.<br />

betle leaf crude extracts was the most effective in inhibiting the fungus respectively and thus, exhibited<br />

the highest potential as a new leading biofungicide in the agriculture field.<br />

Key words: Plant leaves crude extracts, antifungal activities, Colletotrichum capsici.<br />

INTRODUCTION<br />

Pepper fruit anthracnose which is caused by Colleto-<br />

*Corresponding author. E-mail: lucyjohnny13784@yahoo.com.<br />

Tel: +6017-3434717. Fax: +603-86567454.<br />

trichum species is one of the most serious disease which<br />

leads to serious yield loss and quality deterioration in<br />

many Asian countries and in tropical areas (Oanh et al.,<br />

2004; Sang et al., 2007). The most destructive disease of<br />

pepper anthracnose is caused by Colletotrichum capsici<br />

(Sydow) Butler and Bisby (1931) (Ascomycota:


4158 Afr. J. Biotechnol.<br />

Phyllachorales) (Amusa et al., 2004). It is well known for<br />

infection on leaves, stems, mummification of unripe green<br />

pepper fruits, pre-mature fruit drop and fruit rot (Agrios,<br />

1988; Marvel, 2003). It also has been reported that, pre-<br />

and post-harvest fruit losses of up to 50% was caused by<br />

this fungi (Boali, 1991). Generally, Colletotrichum<br />

diseases can be controlled by a wide range of chemicals<br />

such as copper compounds, dithiocarbamates, benzimidazole<br />

and trizole compounds; other fungicides such as<br />

chlorothalonil, imazalil and prochloraz are also effective<br />

against Colletotrichum (Waller, 1992). Although, the use<br />

of systemic fungicides simplifies the management strategy,<br />

not many systemic fungicides are practically in use on<br />

chilli. This limits the choice of systemic fungicides on<br />

chilli, thus, there is a strong need to find alternative<br />

systemic fungicides to the existing chemical carbendazim,<br />

which is the only systemic fungicide currently<br />

used in chilli fields (Gopinath et al., 2006). Furthermore,<br />

there is also the raise of concerns for problems of<br />

fungicide insensitivity, residues on edible produce and for<br />

tree crops; efficiency of spraying has increased in<br />

importance (Bailey and Jeger, 1992). One approach<br />

might be the testing of plants traditionally used for their<br />

antifungal activities as potential sources for drug development.<br />

Hence, this study provided broader options in agriculture<br />

by evaluating the antifungal activity of plant’s<br />

leaves crude extracts from selected medicinal plants as<br />

Alpinia galanga (L.) Willd., Alstonia spatulata Blume.,<br />

Annona muricata L., Blechnum orientale L., Blumea<br />

balsamifera L., Centella asiatica L., Dicranopteris linearis<br />

(Burm. f.) Underw., Dillenia suffruticosa (Griff ex Hook.f.<br />

and Thomson) Martelli, Litsea garciae Vidal., Melastoma<br />

malabathricum L., Momordica charantia L., Nephrolepis<br />

biserrata (Sw.)., Pangium edule Reinw., Piper betle L.,<br />

and Polygonum minus Huds., in order to test their<br />

antifungal potential against phytopathogenic fungi C.<br />

capsici. These plants were selected for extraction due to<br />

their well-known medicinal properties in traditional uses<br />

by local ethnics in Malaysia. The collected plant samples<br />

were identified at Herbarium, Department of Biology,<br />

Universiti Putra Malaysia. Leave samples were extracted<br />

in methanol, chloroform and acetone. Then, C. capsici<br />

was treated with different concentration of plant crude<br />

extract and antifungal activities were determined by<br />

measuring the percentage inhibition of radial growth,<br />

sporulation rate and minimum inhibition concentration<br />

(MIC).<br />

MATERIALS AND METHODS<br />

Plant collection and extraction<br />

The leaves of 15 plants (A. galanga, A. spatulata, A. muricata, B.<br />

orientale, B. balsamifera., C. asiatica, D. linearis, D. suffruticosa, L.<br />

garciae, M. malabathricum, M. charantia, N. biserrata, P. edule, P.<br />

betle, and P. minus) were collected locally from the nearby areas of<br />

Sarikei, Sarawak (Table 1).<br />

The leaf samples were air dried and weighed. Leaves samples<br />

were then, ground using mortar and pestle into coarse powder.<br />

Leaves of the plants were extracted in polar solvent (methanol),<br />

semi-polar solvent (chloroform), and non-polar solvent (acetone) by<br />

following cold percolation method (Valsaraj et al., 1997). Leaves<br />

sample were then, soaked in three different solvents; methanol,<br />

chloroform and acetone, at room temperature for 72 h. The<br />

obtained extract was then filtered through Whatman (no.1) filter<br />

paper extracts solution and was transferred into 250 ml round<br />

bottom flasks which were previously weighed. Then, the extracts<br />

solution was evaporated using Buchi Rotavapor R-210, Switzerland<br />

to concentrate the extracts. Concentrated extracts were allowed to<br />

dry in fume cupboard, weighed again and were kept in 4°C for<br />

bioassays evaluation. Their volume was made up to obtain respective<br />

concentrations.<br />

Source of isolate<br />

The culture of C. capsici from Capsicum annuum L. was obtained<br />

from the Faculty of Agriculture, Universiti Putra Malaysia. Pure<br />

cultures were maintained on potato dextrose agar (PDA) and slants<br />

(Gupta, 2004).<br />

Antifungal assays<br />

Agar-dilution assay<br />

The agar dilution assay was carried out according to Alam (2004)<br />

with a slight modification. 39 g of potato dextrose agar (PDA)<br />

powder was boiled until the agar completely dissolved in 1 L of<br />

distilled water. The solution was then transferred to the blue cap<br />

bottle and sterilized using autoclave at 121°C for 15 min. 19 ml of<br />

the sterilized PDA and 1 ml of plant extract were mixed and plated<br />

on the sterilized Petri dishes (8.5 mm in diameter). 10 mm diameter<br />

of mycelia discs were inoculated at the centre of the medium. The<br />

antifungal assay was divided into five different treatments as crude<br />

extract of leaves in methanol, chloroform and acetone, commercial<br />

fungicide Kocide 101 as positive control and a negative control.<br />

Colony growth was determined on the basis of linear dimensions.<br />

Assay was carried out in three replicates. The percent reduction<br />

(Rr) or stimulation (Rs) of colony diameter by each extract was<br />

determined using the following formula (Nduagu et al., 2008):<br />

Rr =<br />

Rr =<br />

(R1 – R2) x 100<br />

R1<br />

(R2 – R1) x 100<br />

R2<br />

Where, Rr = percent reduction in colony diameter; Rs = percent<br />

stimulation in colony diameter; R1 = colony diameter on the<br />

untreated medium (control); and R2 = colony diameter on the<br />

treated medium.<br />

Minimum inhibitory concentration (MIC) assay<br />

Minimum inhibitory concentration (MIC) was determined using agardilution<br />

method (Yazdani et al., 2007). 1 ml of various crude<br />

extracts concentrations (0.001, 0.005. 0.050, 0.500, 5.0, 12.5, 15.0,<br />

17.5 and 20.0 µg/ml) were prepared in the laboratory universal<br />

bottle containing 9 ml of PDA and were sterilized. The mixture of<br />

PDA and extracts were poured into Petri dish under sterile<br />

condition. Then, 2 µl of adjusted spore suspension was added to


Table 1. Details about plants used, their family, English and local names.<br />

Plant used Family English name Local name<br />

A. galanga (L.) Willd. Zingiberaceae Greater galangal or blue<br />

ginger<br />

A. spatulata Blume. Apocynaceae Hard milkwood or siamese<br />

balsa<br />

A.muricata L. Annonaceae Brazilian pawpaw, soursop,<br />

prickly custard apple<br />

Johnny et al. 4159<br />

Lengkuas (Malay), Engkuas/Lankwas/Puar<br />

(Iban)<br />

Pulai puteh/Rejang (Iban), Pulai basong (Malay)<br />

Hampun kapal (Kadazan), Durin mekah (Iban),<br />

Durian belanda (Malay)<br />

B. orientale L. Blechnaceae Oriental blechnum, Paku ikan/Paku Lipan/Paku ular/Paku ulat<br />

centipede fern<br />

(Malay)<br />

B.balsamifera L. Asteraceae Sambong Susuoh (Bidayuh), Urok bung (Kayan), Dun<br />

supiro (Kiput), Keymabo (Selakau), Sembong<br />

(Malay)<br />

C.asiatica L. Mackinlayaceae Indian pennywort Pegaga (Malay)<br />

D. linearis (Burm. f.)<br />

Underw.<br />

D. suffruticosa (Griff ex<br />

Hook.f. and Thomson)<br />

Martelli<br />

Gleicheniaceae Uluhe, staghorn fern, false<br />

staghorn, resam<br />

Bengkawang (Iban), Resam (Malay)<br />

Dilleniaceae Simpoh ayer Buan (Iban), Abuan (Semai), Bu’ua (Bidayuh),<br />

Simpoh air (Malay)<br />

L. garciae Vidal. Lauraceae Bagnolo, wuru lilin Madang enkala/Pedar (Iban), Pong Labon<br />

(Sabah), Ta’ang (Bidayuh)<br />

M.malabathricum L. Melastomaceae Malabar melastome,<br />

Singapore rhododendron,<br />

senduduk<br />

Sekenduduk/kenduduk/seduduk (Iban),<br />

Senduduk (Malay)<br />

M. charantia L. Cucurbitaceae Bitter melon Peria (Malay)<br />

N. bisserrata (Sw.) Polypodiaceae Giant sword fern Paku larat (Iban), Paku uban (Malay)<br />

P. edule Reinw. Salicaceae football fruit, kepayang,<br />

kluwak<br />

Kepayang (Iban, Malay)<br />

P. betle L. Piperaceae Betel leaf Sireh (Malay, Iban)<br />

P.minus Huds. Polygonaceae Pygmy smartweed Kesum (Malay)<br />

each Petri dish plate. The agar without any plant crude extract<br />

served as the control. Assay was carried out in three replicates. The<br />

minimum inhibitory concentration (MIC) was regarded as the lowest<br />

concentration of the extract that did not show any visible growth<br />

(100% inhibition) after 14 days of incubation (compared with<br />

control). The minimum inhibitory concentration (MIC) was expressed<br />

in µg/ml.<br />

Sporulation assay<br />

The sporulation assay was carried out according to Nduagu et al.<br />

(2008) with a slight modification. The rate of sporulation was<br />

determined by adding 10 ml sterile distilled water to each seven<br />

days old plate that were obtained from agar dilution assay and<br />

gently scraping with a sterile glass rod to dislodge the spores. The<br />

spore suspensions obtained were filtered through sterile cheese<br />

cloth into a sterile 50 ml glass beaker and homogenized by manual<br />

shaking. The spores were then counted using a haemocytometer.<br />

Assay was carried out in three replicates. The percent sporulation<br />

reduction (Sr) or stimulation (Ss) by each extract was<br />

determined using the following formula (Nduagu et al., 2008):<br />

Sr =<br />

(R1 – R2) x 100<br />

R1<br />

(R2 – R1) x 100<br />

Ss =<br />

R2<br />

Where, Sr = percent reduction in sporulation; Ss = percent<br />

stimulation in sporulation; S1 = sporulation on the untreated<br />

medium (control); and S2 = sporulation on the treated medium.<br />

Statistical analysis<br />

The two-way analysis of variance (ANOVA) was carried out on all<br />

the data to justify the difference between critical difference (CD) of<br />

mean (P = 0.05) and coefficient of variation (CV %) in terms of<br />

mean percent reduction in colony diameter, sporulation and MICs of<br />

C. capsici to take statistical decisions (Snedecor and Cochran,<br />

1989). Results with p < 0.05 were considered to be statistically<br />

significant. If the result was significant, CD test was adapted to find<br />

which of the concentrations were same or different in their percent<br />

reduction in colony diameter, sporulation and MICs. For the<br />

calculation of CV, standard deviation was converted into a relative<br />

measure of dispersion for the purpose of comparison. If CV was<br />

greater, it was said that, the treatment was more variable and less<br />

stable in terms of action and vice versa. CD and CV were<br />

calculated using the following formula: CD = Standard error<br />

difference X table value for error degrees of freedom at 5% level<br />

and CV = Standard deviation / mean X 100.


4160 Afr. J. Biotechnol.<br />

RESULTS<br />

Inhibition of radial growth of C. capsici by plant crude<br />

extracts<br />

Table 1 shows that only 5 out of the15 plants screened<br />

showed more than 50% inhibition of radial growth. These<br />

plants were P. betle, A. galanga, C. asiatica, M. charantia<br />

and P. minus. Crude extracts of P. betle in all the<br />

solvents exhibited significant reduction in colony radial<br />

growth against C. capsici in all the concentrations (Table<br />

2). Furthermore, these studies revealed that, the percent<br />

inhibition of radial growth against C. Capsici increased as<br />

the concentration of plant crude extract increased.<br />

Methanol crude extract of P. betle exhibited the highest<br />

antifungal activity with 72.30 to 85.18% inhibition against<br />

C. capsici. This was followed by methanol crude extract<br />

of A. galangal and C. asiatica which exhibited 68.77 to<br />

74.60% and 57.60 to 71.87% inhibition, respectively.<br />

Chloroform crude extracts of P. betle also showed the<br />

highest inhibition (72.36 to 78.53%) against radial growth<br />

of C. capsici followed by A. galangal (50.72 to 63.57%),<br />

M. charantia (57.46 to 61.31%) and C. asiatica (56.58 to<br />

50.61%) (Table 2). While in B. balsamifera and P. edule<br />

less than 50% antifungal activity was exhibited (46.61to<br />

49.82% inhibition), respectively.<br />

Acetone crude extracts of P. betle, A. galanga, M.<br />

charantia, C. asiatica, B. balsamifera and P. edule were<br />

found to be effective against C. capsici which showed<br />

more than 50% inhibition of radial growth with different<br />

concentration (Table 2). P. betle exhibited 75.02%<br />

inhibition in 10.00 µg/ml, 75.38% inhibition in 1.00 µg/ml,<br />

73.73% inhibition in 0.10 µg/ml and 70.36% inhibition in<br />

0.01 µg/ml against C. capsici. This was followed by<br />

acetone crude extract of B. balsamifera which exhibited<br />

74.56% inhibition in 10.00 µg/ml, 74.56% inhibition in<br />

1.00 µg/ml, 70.82% inhibition in 0.10 µg/ml and 65.80%<br />

inhibition in 0.01 µg/ml against C. capsici. Acetone crude<br />

extract of M. charantia exhibited 57.24% inhibition in<br />

10.00 µg/ml, 54.94% inhibition in 1.00 µg/ml, 51.44%<br />

inhibition in 0.10 µg/ml and 51.53% inhibition in 0.01<br />

µg/ml against C. capsici. Acetone crude extract of D.<br />

suffruticosa exhibited effective antifungal activities only in<br />

10.00 µg/ml with 51.33%.<br />

MIC of C. capsici by plant crude extracts<br />

Plant crude solvent extracts with the lowest concentration<br />

that did not show any visible growth (100% inhibition) of<br />

C. capsici after 14 days of incubation (compare to<br />

control) were determined as MIC. Among the plants<br />

screened, P. betle exhibited the lowest MIC value against<br />

C. capsici in 12.5 µg/ml in methanol crude extract. This<br />

was followed by methanol crude extract of A. galanga<br />

(15.00 µg/ml), C. asiatica (17.5 µg/ml) and finally, by M.<br />

charantia and B. balsamifera (20 µg/ml), respectively<br />

(Table 3). In chloroform crude extracts, both P. betle and<br />

A. galanga exhibited the lowest MIC value against C.<br />

capsici in 17.5 µg/ml, followed by C. asiatica and M.<br />

charantia (20.00 µg/ml). The lowest MIC value was<br />

observed in P. betle (15.00 µg/ml), B. balsamifera (17.50<br />

µg/ml) and M. charantia and P. minus (20.00 µg/ml) in<br />

acetone crude extracts (Table 3).<br />

Inhibition/stimulation of sporulation of C. capsici by<br />

plant crude extracts<br />

Inhibition of sporulation of C. capsici by leaf crude<br />

extracts in methanol, chloroform and acetone of the 15<br />

medicinal plants species are summarized in Table 4.<br />

Plant crude solvent extracts with concentration that<br />

inhibited more than 50% of the normal sporulation were<br />

considered as effective (Begum et al., 2007). Among the<br />

plants screened, five species showed 50% and more of<br />

antifungal activity against; C. capsici A. galanga, C.<br />

asiatica, B. balsamifera, M. charantia, P. betle and P.<br />

minus. P. betle exhibited the highest antifungal activity in<br />

all the chosen four treatments of solvent extracts. P. betle<br />

leaf crude extract of 10.00 µg/ml exhibited the highest<br />

percent of inhibition against C. capsici between 72.91<br />

and 80.93%, respectively (Table 4).<br />

DISCUSSION<br />

The findings from this study revealed that, leaf crude<br />

extracts of P.betle exhibited the highest antifungal<br />

activities overall in inhibiting the mycelial growth of C.<br />

capsici among the 15 medicinal plants. The methanol<br />

crude extract of P. betle in 10.00 µg/ml exhibited the<br />

highest inhibition overall with 85.25% inhibition (P <<br />

0.05). Compared with the positive control, commercial C.<br />

capsici fungicide (Kocide 101), the percentage of<br />

inhibition by methanol crude extract of P. betle in 10.00<br />

µg/ml exhibited almost the same percentage of Kocide<br />

101 (87.24%) of the respective concentration. At the<br />

lowest concentration of acetone crude extract which was<br />

0.01 µg/ml, P. betle still effectively inhibited the mycelial<br />

growth with 70.36% inhibition. This showed that the<br />

inhibitory action of the P. betle crude extracts was<br />

recorded even at very low dose, which is a clear indication<br />

that the crude extract contained active components<br />

that have antifungal properties.<br />

The methanol crude extract of P. betle in 10.00 µg/ml<br />

exhibited the highest inhibition in sporulation of C. capsici<br />

overall with 80.93% inhibition (P < 0.05). The positive<br />

control, commercial C. capsici fungicide (Kocide 101),<br />

exhibited 91.73% inhibition of the respective concentration.<br />

At the lowest concentration of acetone crude<br />

extract which was 0.01 µg/ml, P.betle still effectively<br />

inhibited the sporulation with 68.96% inhibition. This<br />

showed that the inhibitory action of the P. betle crude


Johnny et al. 4161<br />

Table 2. Mean ± S.E of inhibiton of radial growth (mm) of C. capsici by leaf extracts in methanol, chloroform and acetone with<br />

various concentrations.<br />

Leaf extract in methanol<br />

Mean ± S.E of inhibiton of radial growth (mm)<br />

0.01 (µg/ml) 0.10 (µg/ml) 1.00 (µg/ml) 10.00 (µg/ml)<br />

A. galanga L. 55.22 ± 1.08* 56.99 ± 0.59* 59.31 ± 1.28* 62.78 ± 1.51*<br />

A. spatulata Blume. 19.13 ± 0.92 19.89 ± 1.04 22.06 ± 0.56 23.64 ± 0.91<br />

A. muricata L. 30.25 ± 1.23 31.86 ± 1.21 35.60 ± 1.20 39.96 ± 1.54<br />

B. orientale L. NI NI 2.68 ± 1.07 4.02 ± 1.13<br />

B. balsamifera L. 25.86 ± 0.73 27.24 ± 1.19 30.37 ±1.22 34.33 ±1.46<br />

C. asiatica L. 54.78 ± 1.48* 46.90 ± 1.80* 55.26 ± 1.58* 59.07 ± 1.44*<br />

D. linearis 4.44 ± 1.35 5.84 ± 0.77 7.85 ± 0.90 9.78 ± 0.85<br />

D. suffruticosa 30.57 ± 0.59 31.08 ± 0.77 33.77 ± 0.78 36.71 ± 0.76<br />

L.garciae Vidal. 13.59 ± 0.84 15.83 ± 1.22 29.34 ± 0.66 31.02 ± 1.41<br />

M. malabathricum L. 30.71 ± 2.52 30.27 ± 1.24 33.41 ± 1.08 34.51 ± 2.16<br />

M.charantia L. 42.17 ± 1.32* 42.42 ± 2.81* 46.25 ± 1.59* 48.32 ± 1.57*<br />

N.bisserrata (Sw.) NI NI 2.89 ± 0.11 3.67 ± 1.13<br />

P.edule Reinw. NI NI 1.68 ± 0.43 4.26 ± 1.17<br />

P. betle L. 61.22 ± 0.53* 65.50 ± 1.10* 66.59 ± 0.89* 71.87 ± 0.78*<br />

P. minus Huds. 39.10 ± 1.72 40.20 ± 1.42 40.37 ± 2.03 46.92 ± 1.11*<br />

Leaf extracts in chloroform<br />

A. galanga (L.) Willd. 42.64 ± 1.30* 46.40 ± 0.72* 48.97 ± 1.36* 53.38 ± 1.05*<br />

A. spatulata Blume. 24.96 ± 1.13 24.74 ± 1.12 27.44 ± 0.72 27.40 ± 0.73<br />

A. muricata L. 8.39 ± 0.84 10.61 ± 1.16 12.65 ± 1.19 18.01 ± 0.92<br />

B. orientale L. NI NI 1.77 ± 1.01 5.33 ± 1.13<br />

B. balsamifera L. 35.50 ± 0.43 39.17 ± 1.35 44.87 ± 1.10* 46.26 ± 1.34*<br />

C. asiatica L. 38.69 ± 1.87 40.82 ± 1.54 42.61 ± 1.01* 47.41 ±1.82*<br />

D. linearis (Burm. f.) Underw. 32.05 ± 1.02 34.23 ± 0.62 36.19 ± 1.13 37.89 ± 0.62<br />

D. suffruticosa 21.41 ± 0.50 22.10 ± 0.93 23.98 ± 1.26 29.90 ± 2.20<br />

L. garciae Vidal. 1.94 ± 1.70 5.84 ± 1.26 8.85 ± 1.99 9.68 ± 1.53<br />

M. malabathricum L. 25.58 ± 1.55 23.56 ± 0.69 27.27 ± 1.13 41.12 ± 1.55<br />

M. charantia L. 48.12 ± 1.53* 50.24 ± 2.12* 51.85 ± 1.94* 50.09 ± 1.56*<br />

N. bisserrata (Sw.) NI NI 3.27 ± 0.15 5.60 ± 0.62<br />

P. edule Reinw. 36.93 ± 1.43 37.73 ± 0.70 41.24 ± 1.17 44.01 ± 1.40*<br />

P.betle L. 61.27 ± 0.75* 63.90 ± 1.72* 65.37 ± 0.90* 66.20 ± 1.15*<br />

P. minus Huds. 20.23 ± 2.27 25.62 ± 1.51 29.43 ± 0.52 31.57 ± 1.38<br />

Leaf extracts in acetone<br />

A. galanga L. 19.70 ± 0.95 21.68 ± 0.66 23.17 ± 1.55 26.94 ± 1.26<br />

A. spatulata Blume. 28.87 ± 0.97 31.06 ± 0.84 34.65 ± 0.43 37.27 ± 1.06<br />

A. muricata L. 16.00 ± 0.85 17.56 ± 1.04 28.75 ± 1.01 33.55 ± 1.25<br />

B. orientale L. NI 3.77 ± 1.32 2.83 ± 1.15 4.70 ± 1.47<br />

B. balsamifera L. 55.86 ± 0.36* 60.06 ± 1.00* 62.55 ± 1.15* 62.44 ± 1.13*<br />

C. asiatica L. 14.47 ± 0.84 24.16 ± 1.24 28.48 ± 1.23 35.28 ± 1.59<br />

D. linearis 21.74 ± 0.99 23.28 ± 1.26 28.25 ± 1.21 34.80 ± 0.91<br />

D. suffruticosa 39.14 ± 0.49 39.14 ± 1.42 38.78 ± 1.38 43.23 ± 1.50*<br />

L. garciae Vidal. NI NI 24.48 ± 1.38 25.48 ± 1.26<br />

M. malabathricum L. 22.74 ± 1.25 31.07 ± 1.63 28.98 ± 1.89 37.72 ± 0.84<br />

M. charantia L. 43.16 ± 0.72* 43.23 ± 1.25* 46.45 ± 0.94* 47.78 ± 1.28*<br />

N. bisserrata (Sw.) NI NI 2.05 ± 0.92 3.18 ± 1.00<br />

P. edule Reinw. 8.12 ± 1.28 36.91 ± 2.03 36.92 ± 1.27 35.36 ± 0.75<br />

P. betle L. 59.57 ± 1.39* 62.17 ± 1.18* 63.77 ± 0.55* 63.56 ± 0.77*<br />

P. minus Huds. 25.34 ± 1.88 27.65 ± 1.73 28.08 ± 1.30 42.64 ± 0.78<br />

Positive control (Kocide 101) 61.60 ± 0.64 66.08 ± 0.90 72.55 ± 0.71 73.54 ± 1.06<br />

Negative control (distiiled water) 84.66 ± 0.24 84.34 ± 0.57 85.00 ± 0.00 84.30 ± 0.65<br />

Each value represented the mean (3 replicates) ± standard error; NI = no inhibition; * represent crude extracts that effectively inhibited growth<br />

(P < 0.05).


4162 Afr. J. Biotechnol.<br />

Table 3. Mean ± S.E of inhibiton of radial growth (mm) of C. capsici<br />

by leaf extracts in methanol, chloroform, and acetone with various<br />

concentrations.<br />

Leaf extracts in methanol Minimum inhibition<br />

concentration (µg/ml)<br />

A. galanga L. 15.00<br />

A. spatulata Blume. >20.00<br />

A. muricata L. >20.00<br />

B. orientale L. >20.00<br />

B.balsamifera L. 20.00<br />

C. asiatica L. 17.50<br />

D. linearis >20.00<br />

D.suffruticosa >20.00<br />

L. garciae Vidal. >20.00<br />

M. malabathricum L. >20.00<br />

M. charantia L. 20.00<br />

N.. bisserrata (Sw.) >20.00<br />

P.edule Reinw. >20.00<br />

P.betle L. 12.50<br />

P.minus Huds. >20.00<br />

Leaf extracts in chloroform<br />

A.galanga L. 17.50<br />

A.spatulata Blume. >20.00<br />

A. muricata L. >20.00<br />

B.orientale L. >20.00<br />

B. balsamifera L. 20.00<br />

C. asiatica L. 20.00<br />

D.linearis >20.00<br />

D. suffruticosa >20.00<br />

L.garciae Vidal. >20.00<br />

M. malabathricum L. >20.00<br />

M.charantia L. >20.00<br />

N.bisserrata (Sw.) >20.00<br />

P. edule Reinw. >20.00<br />

P.betle L. 17.50<br />

P.minus Huds. >20.00<br />

Leaf extracts in acetone<br />

A.galanga L. 20.00<br />

A. spatulata Blume. >20.00<br />

A.muricata L. >20.00<br />

B.orientale L. >20.00<br />

B.balsamifera L. 17.50<br />

C. asiatica L. 20.00<br />

D.linearis >20.00<br />

D. suffruticosa >20.00<br />

L.garciae Vidal. >20.00<br />

M.malabathricum L. >20.00<br />

M.charantia L. >20.00<br />

N. bisserrata (Sw.) >20.00<br />

P. edule Reinw. >20.00<br />

P.betle L. 15.00


Table 3. continued<br />

P.minus Huds. >20.00<br />

Positive control (Kocide 101) 12.50<br />

Negative control (distilled water) NI<br />

NI = No Inhibition<br />

Johnny et al. 4163<br />

Table 4. Mean ± S.E of inhibiton of sporulation (x10 5 ) of C. capsici by leaf extracts in methanol, chloroform, and acetone with<br />

various concentrations.<br />

Leaf extracts in methanol<br />

Mean ± S.E of inhibition/stimulation of sporulation (x10 5 )<br />

0.01 (µg/ml) 0.10 (µg/ml) 1.00 (µg/ml) 10.00 (µg/ml)<br />

A.galanga (L.) Willd. 2.40 ± 0.07* 2.62 ± 0.06* 2.57 ± 0.12* 2.73 ± 0.10*<br />

A. spatulata Blume. 0.84 ± 0.02 0.86 ± 0.03 1.11 ± 0.02 1.09 ± 0.03<br />

A. muricata L. 0.94 ± 0.04 0.91 ± 0.03 1.35 ± 0.06 1.59 ± 0.06<br />

B.orientale L. NI NI NI NI<br />

B.balsamifera L. 1.29 ± 0.08 1.28 ± 0.10 1.43 ± 0.04 1.62 ± 0.08<br />

C.asiatica L. 1.49 ± 0.13 1.57 ± 0.14 2.03 ± 0.10* 2.41 ± 0.09*<br />

D.linearis (Burm. F.) Underw. 0.22 ± 0.04 0.17 ± 0.03 0.32 ± 0.05 0.48 ± 0.04<br />

D. suffruticosa 1.08 ± 0.08 1.30 ± 0.03 1.58 ± 0.13 1.61 ± 0.06<br />

L.garciae Vidal. 0.40 ± 0.02 0.54 ± 0.02 0.93 ± 0.03 0.95 ± 0.04<br />

M. malabathricum L. 1.46 ± 0.03 1.39 ± 0.05 1.59 ± 0.11 1.54 ± 0.12<br />

M.charantia L. 1.65 ± 0.11 1.70 ± 0.14 2.00 ± 0.10* 2.01 ± 0.04*<br />

N.bisserrata (Sw.) NI NI NI NI<br />

P.edule Reinw. NI NI NI NI<br />

P.betle L. 2.78 ± 0.09* 2.92 ± 0.06* 2.95 ± 0.03* 3.20 ± 0.07*<br />

P. minus Huds. 1.81 ± 0.08 1.73 ± 0.03 1.77 ± 0.07 2.06 ± 0.05*<br />

Leaf extracts in chloroform<br />

A. galanga (L.) Willd. 1.91 ± 0.05 1.96 ± 0.15* 2.25 ± 0.09* 2.49 ± 0.06*<br />

A. spatulata Blume. 1.23 ± 0.02 1.17 ± 0.03 1.19 ± 0.03 1.29 ± 0.03<br />

A.muricata L. 0.12 ± 0.03 0.11 ± 0.04 0.45 ± 0.04 0.55 ± 0.04<br />

B. orientale L. NI NI NI NI<br />

B. balsamifera L. 1.53 ± 0.06 1.63 ± 0.13 1.92 ± 0.08 2.13 ± 0.07*<br />

C.asiatica L. 1.50 ± 0.09 1.52 ± 0.15 1.82 ± 0.10 2.00 ± 0.06*<br />

D. linearis (Burm. f.) Underw. 1.16 ± 0.02 1.60 ± 0.03 1.58 ± 0.04 1.57 ± 0.04<br />

D. suffruticosa 1.00 ± 0.04 1.06 ± 0.04 1.07 ± 0.03 1.11 ± 0.03<br />

L. garciae Vidal. 0.06 ± 0.02 0.07 ± 0.02 0.21 ± 0.03 0.30 ± 0.02<br />

M. malabathricum L. 1.09 ± 0.07 1.05 ± 0.11 1.26 ± 0.08 1.76 ± 0.08<br />

M. charantia L. 1.74 ± 0.12 1.88 ± 0.05 2.02 ± 0.05* 2.11 ± 0.04*<br />

N.bisserrata (Sw.) NI NI 0.20 ± 0.03 0.20 ± 0.03<br />

P.edule Reinw. 1.39 ± 0.06 1.58 ± 0.05 1.58 ± 0.04 1.83 ± 0.04<br />

P.betle L. 2.71 ± 0.06* 2.84 ± 0.04* 2.86 ± 0.13* 2.93 ± 0.04*<br />

P.minus Huds. 1.03 ± 0.09 1.25 ± 0.04 1.30 ± 0.09 1.43 ± 0.05<br />

Leaf extracts in acetone<br />

A.galanga (L.) Willd. 0.98 ± 0.08 1.01 ± 0.04 1.01 ± 0.07 1.21 ± 0.10<br />

A. spatulata Blume. 1.31 ± 0.03 1.33 ± 0.03 1.49 ± 0.03 1.47 ± 0.03<br />

A. muricata L. 0.60 ± 0.05 0.53 ± 0.04 1.06 ± 0.04 1.09 ± 0.04<br />

B. orientale L. NI NI NI 0.10 ± 0.03<br />

B. balsamifera L. 1.91 ± 0.07 2.48 ± 0.15* 2.73 ± 0.10* 2.80 ± 0.10*<br />

C. asiatica L. 0.66 ± 0.10 0.89 ± 0.08 1.43 ± 0.06 1.81 ± 0.09<br />

D. linearis (Burm. f.) Underw. 1.05 ± 0.05 1.08 ± 0.03 1.47 ± 0.04 1.56 ± 0.04


4164 Afr. J. Biotechnol.<br />

Table 4. Continued<br />

D. suffruticosa 1.70 ± 0.04 1.67 ± 0.12 1.64 ± 0.03 1.77 ± 0.09<br />

L. garciae Vidal. NI NI 0.83 ± 0.04 0.89 ± 0.04<br />

M. malabathricum L. 1.06 ± 0.04 1.40 ± 0.05 1.41 ± 0.05 1.62 ± 0.10<br />

M.charantia L. 1.66 ± 0.13 1.85 ± 0.06 1.93 ± 0.04* 1.99 ± 0.06*<br />

N. bisserrata (Sw.) NI NI NI 0.07 ± 0.01<br />

P. edule Reinw. NI 1.17 ± 0.04 1.38 ± 0.05 1.42 ± 0.03<br />

P.betle L. 2.71 ± 0.07* 2.82 ± 0.02* 2.83 ± 0.12* 2.88 ± 0.07*<br />

P. minus Huds. 1.14 ± 0.06 1.26 ± 0.13 1.33 ± 0.03 2.05 ± 0.04*<br />

Positive control (Kocide 101) 0.76 ± 0.09 0.79 ± 0.05 0.55 ± 0.04 0.33 ± 0.02<br />

Negative control (distilled water) 3.93 ± 0.02 3.95 ± 0.01 3.97 ± 0.01 3.95 ± 0.02<br />

Each value represented the mean (3 replicates) ± standard error; NI = No Inhibition; * represent crude extracts that effectively inhibited<br />

growth (P < 0.05).<br />

extracts was recorded even at very low dose, which is a<br />

clear indication that the crude extract contained active<br />

components that had antifungal properties. Phangthip et<br />

al. (2005) found that Piper betle leaves have antimicrobial<br />

activity due to the essential oils of the plant which<br />

contained phenolic compounds such as cavicol,<br />

cavibetol, carvacrol, eugenol and allilpyrocatechol. These<br />

compounds are assumed could inhibit bacteria and fungi.<br />

Begum et al. (2007) had found the extract of P.betle to<br />

have a wide spectrum of antifungal activity. It has also<br />

been reported that the leaves of P. betle possess various<br />

medicinal properties such as antioxidant, antibacterial,<br />

digestive, stimulant, antifungal and nematocidal properties<br />

(Phangthip et al., 2006).<br />

Johann et al. (2007) stated that the chemistry of Piper<br />

species has been widely investigated and phytochemical<br />

investigations from all parts of the world have led to the<br />

isolation of a number of physiologically active compounds<br />

such as alkaloids/amides, propenylphenols, lignans,<br />

neolignans, terpenes, steroids, kawapyrones, piperolides,<br />

chalcones, di-hydrochalcones, flavones and flavanones<br />

which exhibited high antimicrobial and antifungal<br />

properties. According to Lee et al. (2004) most Piper<br />

chemistry has been conducted to find potential pharmaceuticals<br />

or pesticides and over 90% of the literature<br />

focuses on compounds that are cytotoxic, antifungal,<br />

antitumor, fragrant or otherwise useful to humans.<br />

The antimicrobial properties of different species of the<br />

genus Piper have also been studied (Johann et al.,<br />

2007). In a screening for medicinal plants with<br />

antimicrobial activity in Colombia, the methanolic extract<br />

of the leaf of Piper lanceafolium showed activity against<br />

Candida albicans, Klebsiella pneumoniae, Enterococcus<br />

faecalis, Mycobacterium phlei, Bacillus subtilis and<br />

Staphylococcus aureus. Piper nigrum (black pepper) is<br />

known to have antifungal activity due to lactones,<br />

terpenoids, alkaloids and saponins. 4,5-Dimethoxy-2,3-<br />

(methylenedioxy)-l-allylbenzene, a natural isolate of Piper<br />

hispidum and Piper aduncum, also has strong<br />

antimicrobial activity. This natural product and three other<br />

related compounds, [4-(5’-hydroxy-5’-nonanyl)-1,2<br />

(methylenedioxy) benzene, 4-(5’-non-4’-enyl)-1,2-<br />

(methylenedioxy) benzene and 6-methoxy-2,3-<br />

(methylenedioxy)-4-allylphenol], were synthesized from<br />

piperonal and screened for their biological activity. These<br />

four compounds showed high levels of antifungal and<br />

antibacterial activity against several fungi and bacteria.<br />

In conclusion, the leaves crude extracts that exhibited<br />

good potential and showed effectiveness as fungicides of<br />

C. capsici should be drawn with an in-depth study of<br />

testing the phytoextracts for their potentiality under in vivo<br />

condition.<br />

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Agrios GN (1988). Plant Pathology. 2nd ed. <strong>Academic</strong> Press, New York,<br />

p. 630.<br />

Alam S (2004). Synthesis, antibacterial and antifungal activity of some<br />

derivatives 2-phenyl-chromen-4-one. J. Chem. Sci. 116: 325-331.<br />

Amusa NA, Kehinde IA, Adegbite AA (2004). Pepper fruit anthracnose<br />

in the humid forest region of south-western Nigeria. Nutr. Food Sci.<br />

34(3): 130-134.<br />

Bailey JA, Jeger MJ (1992). Colletotrichum: Biology, Pathology and<br />

Control. CAB. Int. Wallingford, UK. P. 388.<br />

Boali C (1991). Screening sweet pepper for resistance to anthracnose<br />

caused by Colletotrichum capsici. ARC. Training Rep. pp. 1-5.<br />

Begum J, Yusuf M, Chowdhury JU, Khan S, Nural AM (2007).<br />

Antifungal activity of forty higher plants against phytopathogenic<br />

fungi. Bangladesh J. Microbiol. 24(1): 76-78.<br />

Gopinath K, Radhakrishnana NV, Jayaraja J (2006). Effect of<br />

propiconazole and difenoconazole on the control of anthracnose of<br />

chilli fruits caused by Colletotrichum capsici. Crop Prot. 25: 1024-<br />

1031.<br />

Johann S, Pizzolatti MG, Donnici CL, Resende MA (2007). Antifungal<br />

properties of plants used in Brazilian traditional medicine against<br />

clinically relevant fungal pathogens. Brazilian J. Microbiol. 38: 632-<br />

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evolutionary ecology of Piper amides. Tulane University, New<br />

Orleans, Louisiana.<br />

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(M.S.). Virginia Polytechnic Inst. State University,<br />

Nduagu C, Ekefan EJ, Nwankiti AO (2008). Effect of some crude plant<br />

extracts on growth of Colletotrichum capsici (Synd.) Butler & Bisby,<br />

causal agent of pepper anthracnose. J. Appl. Biosci. 6(2): 184-190.<br />

Oanh LTK, Korpraditskul V, Rattanakreetakul C (2004). A pathogenicity<br />

of anthracnose fungus, Colletotrichum capsici on various Thai chilli<br />

varieties. Kasetsart J. Nat. Sci. 38(6): 103-108.


Phangthip P, Thaewnon-ngiw B, Kanchanarach W, Sangdee A,<br />

Rittideth S (2005). Antifungal efficacy of Piper betle Linn. extract<br />

against the growth of mat fungi. 31st Congress on Science and<br />

Technology of Thailand at Suranaree University of Technology.<br />

Sang HK, Jae BY, Hyo GP (2007). Inheritance of anthracnose<br />

resistance in a new genetic resource, Capsicum baccatum PI594137.<br />

J. Crop Sci. Biotech. 11(1): 13-16.<br />

Snedecor GW, Cochran WG (1989). Statistical methods, 8th edn. Iowa<br />

State University Press, Ames, Iowa.<br />

Waller JM (1992). Colletotrichum diseases of perennial and other cash<br />

crops. Bailey, J.A. and Jeger, M. J., eds. In: Colletotrichum: Biology,<br />

Pathology and Control. CAB. Int. Wallingford, UK. pp. 167-186.<br />

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of selected medicinal plants from India. J. Ethnopharmacol. 58: 75-<br />

83.<br />

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Jamalifar H (2009). Antifungal activity of dried extracts of anise<br />

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dermatophyte and saprophyte fungi. J. Med. Plants, 8(5): 24-29.


African Journal of Biotechnology Vol. 10(20), pp. 4166-4174, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2250<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Isolation, identification and application in lignin<br />

degradation of an ascomycete GHJ-4<br />

Huiju Gao, Yanwen Wang, Wenting Zhang, Weile Wang and Zhimei Mu*<br />

College of Forestry, Shandong Agricultural University, Shandong, China.<br />

Accepted 24 March, 2011<br />

This study was undertaken to isolate an ascomycete producing ligninolytic enzyme and characterize its<br />

lignin degradation capability. Among 20 isolates, GHJ-4 was isolated from decayed wood of Salix<br />

matsudana Koidz in Mount Tai, China, by different indicator compounds assay. The taxonomy of the<br />

fungi was Paraconiothyrium variabile Damm, Verkley and Crous, which had been confirmed by both<br />

morphological and 5.8S rDNA/ITS analyses. The capability of utilizing several lignin model compounds<br />

and decoloration of aromatic dyes by GHJ-4 strain revealed its ligninolytic potentiality. After incubation<br />

for 40 days, the weight loss of the wood was 20.91% and lignin loss was 22.99%, which indicated that,<br />

GHJ-4 strain had higher degradation ability for lignin. To our best of knowledge, this study represented<br />

the first report that P. variabile could produce ligninolytic enzyme and degrade lignin.<br />

Key words: Ligninolytic enzyme, ascomycete, identification, lignin degradation.<br />

INTRODUCTION<br />

Biofuel plays an essential role in replacing petroleumbased<br />

fuels in current worldwide energy situation (Yuan<br />

et al., 2008). Among all the feedstocks, lignocellulosic<br />

biomass, which could be acquired from biomass crop and<br />

agricultural residuals, might be the best choice in the long<br />

term (Smeets and Faaij, 2007). However, the key<br />

obstacle for transitioning lignocellulosic feedstock was<br />

the complicated structure of the plant cell wall,<br />

particularly the presence of lignin. It was highlighted that,<br />

microbial degradation of lignin had potential advantages<br />

over the prevailing chemical degradation, due to energy<br />

and environmental concerns (Keller et al., 2003). However,<br />

degrading lignocellulosic biomass by current<br />

available microorganism is still far to meet the industrial<br />

*Corresponding author. E-mail: ghj@sdau.edu.cn. Tel: (86)538-<br />

8249561. Fax: (86)538-8249164.<br />

Abbreviations: LiP, Lignin peroxidise; MnP, manganese<br />

peroxidase; PDA, potato dextrose agar; SNA, synthetic nutrient<br />

agar medium; OA, oatmeal; CMA, cornmeal; MEA, malt extract;<br />

PDA, potato dextrose; ITS, internal transcribed spacer; PCR,<br />

polymerase chain reaction; BLAST, Basic Local Alignment<br />

Search Tool; NJ, Neighbors joining; RBBR, Remazol Brilliant<br />

Blue R; LiP, lignin peroxidise; MnP, manganese peroxidise.<br />

demands (Shary et al., 2007; Afrida et al., 2009). Thereby,<br />

isolation of new strains for degradation of lignin is still<br />

essential.<br />

Extracellular oxidoreductases, including lignin peroxidase<br />

(LiP), manganese peroxidase (MnP) and laccase<br />

produced by wood-decomposing microorganism, are<br />

directly involved in the degradation of lignin in their<br />

natural lignocellulosic substrates and various xenobiotic<br />

compounds including dyes (Abrahão et al., 2008;<br />

Thurston, 1994; Call and Mücke, 1997; Leonowicz et al.,<br />

2001). Some wood-degrading fungi contain all three<br />

classes of lignin-modifying enzymes, while the others<br />

contain only one or two of these enzymes (Hatakka,<br />

1994; Dhouib et al., 2005). The production of ligninolytic<br />

enzymes is observed as a colourless halo around<br />

microbial growth (Dhouib et al., 2005). So, the lignin<br />

degradation capability of microbes is initially screened<br />

indirectly on solid media containing different indicator<br />

compounds.<br />

Although, wood decay fungi are primarily basidiomycetes,<br />

other microorganisms are also involved in the<br />

lignocellulosic decaying processes (Nilsson et al., 1989).<br />

Wood biodegradation by certain ascomycetes was first<br />

described in detail and designated as “soft rot” by Savory<br />

(1954). Nilsson et al. (1989) demonstrated that, some<br />

higher ascomycetes, particularly Daldinia concentrica,


degraded Aspen wood with the same intensity as<br />

Trametes versicolor, a basidiomycete typically classified<br />

as white-rot fungus. The ascomycete, Chrysonilia sitophila<br />

could degrade rice hull and Pinus radiata bark products<br />

and also produce ligninolytic and cellulolytic enzymes<br />

(Ferraz et al., 1991). Whereafter, different Penicillium<br />

strains was described as potential degraders or was able<br />

to degrade compounds with related lignin structures<br />

(Rodriguez et al., 1994). The family Xylariaceae had<br />

been reported to cause a special type of extensive woodrot,<br />

which could produce laccase and low amounts of<br />

peroxidase as potential ligninolytic enzymes along with<br />

different polysaccharide-cleaving hydrolases as well as<br />

esterase (Liers et al., 2006).<br />

Ascomycetous fungi with coniothyrium-like anamorphs<br />

are common colonizers of woody host plants (Damm et<br />

al., 2008). Nilsson (1973) found that, Coniothyrium<br />

cerealis could degrade wood. A new woody plants hosted<br />

genus Paraconiothyrium was established by Verkley et<br />

al. (2004), which included the old Coniothyrium minitans<br />

and Coniothyrium sporulosum. Later species were frequently<br />

isolated from wood and leaves of Prunus,<br />

Actinidia, Laurus and Dendrobium. Recently, two<br />

additional new species, Paraconiothyrium africanum and<br />

Paraconiothyrium variabile, were identified based on their<br />

DNA sequence data and unique morphological characteristics<br />

(Damm et al., 2008).<br />

In this study, an ascomycete producing ligninolytic<br />

enzyme, forming coniothyrium-like anamorphs, was<br />

isolated from decayed wood of Salix matsudana Koidz in<br />

Mount Tai. It was a new strain with lignin-transformation<br />

capability. The fungus was morphologically and phylogenetically<br />

identified and its ability for lignin degradation<br />

was characterized.<br />

MATERIALS AND METHODS<br />

Isolation of ligninolytic enzyme producing fungi GHJ-4 strain<br />

Different indicator compounds were added to potato dextrose agar<br />

(PDA) in order to detect ligninolytic enzyme production. These<br />

compounds included 0.04% Remazol Brilliant Blue R (RBBR),<br />

0.04% guaiacol and 0.02% tannic acid (Dhouib et al., 2005). The<br />

plates were incubated at 28°C for at least a week under dark.<br />

Positive strains were subcultured when clear positive reactions<br />

were visible.<br />

Morphology<br />

To enhance sporulation, autoclaved wood sawdust was placed onto<br />

the surface of synthetic nutrient agar (SNA) medium (Kwaśna and<br />

Bateman, 2007) and incubated at 25°C for 1 to 4 weeks under<br />

natural light. Measurements, photographs of characteristic structures<br />

and vertical sections through conidiomata were made<br />

according to Damm et al. (2007). Cultural characteristics and radial<br />

growth rates were determined on oatmeal (OA), cornmeal (CMA),<br />

3% malt extract (MEA) and PDA agars (Damm et al., 2008). Plates<br />

were incubated in a growth chamber at 25°C under natural light.<br />

Growth characteristics were studied on MEA plates incubated in the<br />

Gao et al. 4167<br />

dark at temperatures ranging from 5 to 35°C, with 5°C intervals.<br />

DNA isolation, amplification and analyses<br />

Genomic DNA of GHJ-4 strain was extracted from fungal mycelium<br />

grown on PDA plates following previously described protocols<br />

(Pryor and Gilbertson, 2000). The internal transcribed spacer (ITS)<br />

regions of 5.8S rDNA gene was amplified and sequenced using<br />

primer ITS5 (5'-GGAAGTAAAAGTCGTAACAAGG-3') and ITS4 (5'-<br />

TCCTCCGCTTATTGATATGC-3'). Polymerase chain reaction (PCR)<br />

was performed by denaturation for 5 min at 95°C followed by 35<br />

cycles of 1 min at 94°C for 1 min at 56°C and 1 min at 72°C, with a<br />

final extension of 10 min at 72°C. The PCR products with the<br />

expected size (about 600 bp) were cut from gel and purified by DNA<br />

gel extraction kit (TaKaRa, Japan), cloned into pEASY-T3 vector<br />

(TransGen, China) and transformed into Escherichia coli competent<br />

cells DH5α. Sequences were performed with an AB13730XL DNA<br />

autosequencer (Applied Biosystems). Sequence homolog analysis<br />

was performed by Basic Local Alignment Search Tool (BLAST)<br />

(http://www.ncbi.nlm.nih.gov). Fungi identification was based on<br />

5.8S rDNA gene sequence similarity to BLAST hits. Neighbors<br />

joining (NJ) phylogenetic trees were generated based on partially<br />

sequenced 5.8S rDNA and closely related sequences. In the NJ<br />

analyses, the Kimura distance calculation was used. A bootstrap<br />

analysis (1000 replicates using NJ option) was performed to<br />

determine the confidence levels of the nodes.<br />

Cultivations in liquid media<br />

GHJ-4 strain was cultivated on a basic media (Media V) for<br />

production of laccase on 200 rpm at 28°C. Media V contained 15.0<br />

g sucrose and 200.0 g potato extract per liter. Subsequently, it was<br />

cultivated in four types of rich media to improve laccase production.<br />

Media I contained (g/l): 3.0 soluble starch, 2.0 yeast extract, 0.17<br />

KH2PO4, 0.44 MgSO4, 0.37 CaCl2, 0.5 Tween-80 ; media II contained<br />

(g/l): 200.0 potato extract, 25.0 glucose, 3.0 yeast extract,<br />

3.0 KH2PO4, 2.5 MgSO4, 0.1 vitamin B1, pH 6.0; Media III contained<br />

(g/l): 24.0 soluble starch, 24.0 glucose, 10 bran, 3.2 KH2PO4, 0.2<br />

MgSO4, 0.006 CuSO4, 3.2 NH4Cl, pH6.5; Media IV contained (g/l):<br />

30 bran, 2.0 peptone, 3.0 beef extract, 3.0 KH2PO4, 0.5 MgSO4,<br />

0.02 Vitamin B1, 0.01 CaCl2, 0.1 NaCl.<br />

LiP and MnP production by GHJ-4 strain was followed for 14<br />

days. The fungus was inoculated into 250 ml Erlenmeyer flasks<br />

containing 50 ml medium which involve 30.0 g bran, 58.0 g soluble<br />

starch, 3.5 g beef extract, 1.0 g NaNO3, 3.0 g KH2PO4 and 0.1 g<br />

MnSO4.<br />

Laccase activity assay<br />

Laccase activity was measured spectrophotometrically with guaiacol<br />

as substrate. A modified method of Chakraborty et al. (2000)<br />

was used. An aliquot of enzyme solution was incubated in 4.0 ml of<br />

50 mM sodium acetate buffer (pH 4.5) containing 1.0 mM guaiacol<br />

at 30°C. The changes in absorbance due to oxidation of guaiacol in<br />

the reaction mixture was monitored at 465 nm (ε465=12,100 M -1 cm -<br />

1 ). One unit of enzyme activity was defined as the amount of<br />

enzyme that oxidized 1 µmol guaiacol per minute under the<br />

aforementioned condition.<br />

Lignin peroxidase activity assay<br />

The lignin peroxidase activity was evaluated by UV spectrometry of<br />

the veratraldehyde produced ( TM 310 =9,300 M −1 cm −1 ) during veratryl<br />

alcohol oxidation (Moldes et al., 2003). The reactive mixture was


4168 Afr. J. Biotechnol.<br />

composed of 2.5 ml sodium tartrate buffer (100 mM, pH 3.0), 1.0 ml<br />

veratryl alcohol (10 mM), 100 µl hydrogen peroxide (10 mM) and<br />

400 µl enzyme extract. The reaction was started by adding<br />

hydrogen peroxide and the veratraldehyde was determined at 310<br />

nm. One enzyme unit was defined as 1 µmol product formed per<br />

minute under the assay conditions.<br />

Manganese peroxidase activity assay<br />

Manganese peroxidase activity was assayed following the method<br />

of Moldes et al. (2003). The reaction mixture contained 3.4 ml<br />

sodium malonate (50 mM pH 4.5), 0.1 ml MnSO4 (15 mM) and 400<br />

µl enzyme extract. The reaction was started by adding 0.1 ml H2O2<br />

(10 mM) and the produced Mn 3+ complexes was determined at 240<br />

nm (ε240=6,500 M -1 cm -1 ). One activity unit was defined as the<br />

amount of enzyme that oxidized 1 µmol MnSO4 per minute and the<br />

activities were expressed in U ml -1 .<br />

Characterization of ligninolytic potential<br />

GHJ-4 strain was incubated in 250 ml Erlenmeyer flasks containing<br />

25 ml minimal salts medium, which involves 2.0 g NH4Cl, 0.5 g<br />

MgSO4, 1.0 g KH2PO4, 0.007 g CuSO4, 0.2 g Na2HPO4, 0.035 g<br />

MnSO4, 0.007 g FeSO4 per liter and lignin (Sigma-Aldrich) and<br />

guaiacol as sole carbon source. The flasks were inoculated with 2<br />

pieces (1.0 cm diameter) of 7-day precultured agar plates and the<br />

cultures maintained under stationary at 28°C for 15 days. Growth of<br />

the fungus and indication of the lignin degradation capability was<br />

measured based on the dry weight of the mycelia after filtration,<br />

followed by drying at 80°C to constant weight.<br />

Detection of decolourization ability<br />

For dye decolourization studies, GHJ-4 strain was incubated on<br />

PDA plate supplemented with 0.02% RBBR, aniline blue and<br />

phenol red at 28°C (Rodriguez et al., 1996). Decolourization was<br />

observed after 15 days.<br />

Wood biodegradation by GHJ-4 strain<br />

Wood chips (2.0×2.0×0.1 cm) were obtained from Populus bonatii<br />

Levl (10-year old). Wood biodegradation was performed under<br />

solid-state fermentation at 28°C for 40 days. Inoculum was<br />

prepared as follows: 3 pieces (1.0 cm diameter) of 7-day precultured<br />

agar plates were inoculated into a 250 ml Erlenmeyer flask<br />

containing 5% Wood chips, 15% bran and 80% nutrient solution<br />

that was composed of 2.0 g NH4Cl, 0.5 g MgSO4, 1.0 g KH2PO4,<br />

0.007 g CuSO4, 0.2 g Na2HPO4, 0.035 g MnSO4, 0.007 g FeSO4<br />

and 1,000 ml of water. After biodegradation, bio-treated wood chips<br />

were washed to remove the mycelium grown on wood surfaces and<br />

then dried to constant weight at 105°C. Initial and final dry weights<br />

were used to determine weight losses. A set of uninoculated<br />

sterilized wood chips served as a control wood sample.<br />

Decayed and non-decayed wood samples were milled in a knife<br />

mill to pass through a 0.5 mm screen. Klason insoluble and soluble<br />

lignins in benzene/ethanol extracted milled wood samples were<br />

determined by acid hydrolysis as described by Ferraz et al. (2000).<br />

RESULTS<br />

Isolation of GHJ-4 strain<br />

Reactions with three different indicators, guaiacol,<br />

Remazol Brilliant Blue R (RBBR) and tannic acid, were<br />

tested with collected samples. The positive reactions with<br />

guaiacol, RBBR and tannic acid correlated well with each<br />

other. Altogether, 20 fungal strains showing positive<br />

reactions on indicator plates were isolated from decayed<br />

wood of S. matsudana Koidz in Mount Tai. Fungal strain<br />

GHJ-4 was selected for further studies, as the oxidative<br />

polymerization of guaiacol to form reddish brown zones in<br />

the medium was higher than other isolated strains. Its<br />

lignin degradation capability was further confirmed by<br />

other indicators (Figure 1).<br />

Phylogenetic analysis<br />

An expected 589 bp DNA fragment of the 5.8S rDNA/ITS<br />

region was obtained from the GHJ-4 strain by PCR amplification.<br />

The sequence was deposited in the GenBank<br />

database (Accession no. GQ331986). BLAST analysis of<br />

the amplificons indicated that, it had the highest<br />

similarities (over 99%) sequences generated from<br />

Paraconiothyrium or Microdiplodia strains. To clarify the<br />

phylogenetic position of GHJ-4, a phylogenetic tree was<br />

constructed based on the 5.8S rDNA sequences (Figure<br />

2). The result revealed that GHJ-4 strain, P. variabile and<br />

Paraconiothyrium brasiliense formed one cluster, which<br />

implied they were closely related.<br />

Taxonomy<br />

The strain GHJ-4, obtained from wood of S. matsudana<br />

Koidz, could be assigned to P. variabile based on the<br />

DNA sequence data and its morphology (Damm et al.,<br />

2008). Its conidiomata were pycnidia and the shape of<br />

the conidiogenous cells was more variable. Conidia were<br />

smaller than those of most other Paraconiothyrium<br />

species and grew more slowly than P. brasiliense.<br />

Conidiomata pycnidial, produced on wood sawdust on<br />

SNA in 1 to 4 weeks was solitary, subglobose, 1 to 3<br />

ostioles, black, superficial or semi-immersed, 200 to 600<br />

µm diameter, wall consisting of 6 to 8 cell-layers (30 to 45<br />

µm) of thick-walled dark brown textura angularis, becoming<br />

hyaline and thin-walled towards the inside of the<br />

pycnidium, that was surrounded by brown hyphal<br />

appendages. Conidiophore, lining the inner conidiomatal<br />

cavity, was hyaline, branched with conspicuous umbilici,<br />

3 to 10 × 2 to 5 µm. Conidiogenous cells varied in shape,<br />

conical to subulate or subcylindrical, broadly or elongated<br />

ampulliform, phialidic with periclinical wall thickening or<br />

with one or more percurrent proliferations near the apex.<br />

Conidia was pale brown or light green, subcylindrical to<br />

ellipsoidal, both ends obtuse, 1-celled, smooth walled, 3<br />

to 4.5 × 1.5 to 2.5 µm. Vegetative hyphae were 2 to 5 µm<br />

wide, hyaline to pale brown, septate and smooth. On<br />

PDA medium, parts of the hyaline vegetative hyphae was<br />

transformed to very dark-walled hyphal pieces, which<br />

could become locally swollen or accumulate amorphous


Figure 1. Reactions of GHJ-4 strain with different indicators on PDA plates. A, Reddish brown zones of guaiacol; B,<br />

decolourize of RBBR; C, yellow zones of tannic acid; D, decolourize of aniline blue; E, decolourize of phenol red.<br />

Figure 2. 5.8S rDNA/ITS region phylogenetic tree of GHJ-4 strain obtained by the<br />

neighbor-joining method based on the two-parameter Kimura correction of<br />

evolutionary distances. Numbers at the nodes are the bootstrap confidence values<br />

obtained after 1000 replicates. Camarosporium leucadendri was used as the outgroup.<br />

Gao et al. 4169


4170 Afr. J. Biotechnol.<br />

5 µm D<br />

A B C<br />

E F<br />

Figure 3. Morphology of GHJ-4 strain. A, Dark walled hyphae; B, conidia oozing from pycnidia; C, longitudinal section through a<br />

pycnidium; D, pycnidial wall with conidiophorese; E, conidiophores; F, conidia.<br />

brown material on the outer wall surface (Figure 3).<br />

Cultural characteristics<br />

Colonies on OA reached 53.2 mm after 7 days and 85<br />

mm after 14 days (25°C, in diffuse daylight). It was flat,<br />

with an even to slightly ruffled colourless and glabrous<br />

margin, mycelium whitish, aerial mycelium absent or<br />

consisting of sparse, scattered white to grayish tufts.<br />

Colonies on MEA reached 42.6 mm diameter in 7 days<br />

and 68.5 mm in 14 days, with an even to slightly ruffled,<br />

glabrous and colourless margin, colony surface almost<br />

entirely covered by a dense mat of woolly aerial<br />

mycelium, which was pale olivaceous-grey, in the centre<br />

olivaceous-black and near the margin paler to almost<br />

pure white. Colonies on PDA reached 54.7 mm diameter<br />

in 7 days, 82.8 mm diameter in 14 days. It was flat, with<br />

an even, whitish margin, most of the colony surface<br />

covered by felty floccose aerial mycelium, in the centre<br />

becoming olivaceous-grayish. Colonies on CMA reached<br />

85 mm diameter in 14 days (46 mm in 7 days), as on<br />

PDA. It was flat, white, in the centre becoming olivaceousgrayish<br />

(Figure 4).<br />

Growth characteristics<br />

The growth temperature range of GHJ-4 was 5 to 35°C<br />

and the optimum growth temperature was approximately<br />

25°C.<br />

Production of ligninolytic enzyme by GHJ-4 strain<br />

Laccase production by GHJ-4 strain was studied in liquid<br />

cultures and proved to be highly dependent on the<br />

medium. The production level of laccase in liquid cultures<br />

was quite low in basic media. Laccase production was<br />

enhanced by the addition of bran. Among the five media<br />

tested in this study, media IV had the highest laccase<br />

production (Figure 5). The production of laccase activity<br />

occurred on day 2 and reached its maximum (484.72<br />

U/ml) on day 10 and then declined gradually.<br />

Furthermore, GHJ-4 also produced LiP and MnP. LiP<br />

activity first appeared on the 2 nd day (0.31 U/ml) and<br />

reached its highest level of activity (7.28 U/ml) on the 12 th<br />

day, after which the activity started to decrease (Figure<br />

6). As regards MnP activity, it began on the 4 th day (0.73<br />

U/ml) and then it increased peaked on the 8 th day of


Figure 4. Cultural characteristics of GHJ-4 strain incubated on CMA (A), PDA (B), OA (C)<br />

and MEA (D) (25°C, natural light).<br />

-1)<br />

Enzyme activity (U ml -1 )<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

0 2 4 6 8 10 12<br />

Time(day)<br />

MediaⅠ Media Ⅱ Media Ⅲ<br />

Media Ⅳ Media Ⅴ<br />

Figure 5. Time course of extracellular laccase activity of GHJ-4 on different media.<br />

Gao et al. 4171


4172 Afr. J. Biotechnol.<br />

Enzyme activity(U ml<br />

-1 )<br />

cultivation (3.81 U/ml) (Figure 7).<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10 12 14<br />

Time(day)<br />

Figure 6. Time course for LiP activity produced by GHJ-4.<br />

Lignin model compounds utilization capability<br />

The ability of GHJ-4 strain to utilize guaiacol or lignin as<br />

the sole carbon and energy source is shown in Table 1.<br />

Results showed that lignin and guaiacol, particularly<br />

lignin, could be utilized by GHJ-4 strain. So, GHJ-4 was<br />

able to utilize some lignin model substrates.<br />

Dye decolourization ability of GHJ-4<br />

The polymeric dye RBBR, an anthracene derivative, was<br />

used as a starting material in dye production and represented<br />

an important class of often toxic and recalcitrant<br />

organopollutants. Results showed that, GHJ-4 could<br />

readily decolorize RBBR (Figure 1). We had also found<br />

the decolourization of another two polymeric dyes, aniline<br />

blue and phenol red, by GHJ-4 in solid culture (Figure 1).<br />

Biodegradation capacity for wood<br />

The decay capacity of GHJ-4 strain for wood blocks was<br />

examined. Results showed that, GHJ-4 had 20.91%<br />

losses of wood weight and approximately 22.99% lignin<br />

loss after 40 days incubation period. So, GHJ-4 strain<br />

could be considered as an efficient wood degrader.<br />

DISCUSSION<br />

P. variabile was frequently isolated from different plant<br />

species worldwide. Riccioni et al. (2007) isolated it from<br />

wood of Actinidia chinensis and Actinidia deliciosa in<br />

association with trunk or vine disorders and from necrotic<br />

wood under pruning cut surfaces. There was also a<br />

report on the isolation of this species from leaves of<br />

Laurus nobilis (Göre and Bucak, 2007) and branches of<br />

Prunus persica and Prunus salicina with dieback symptoms<br />

or pruning debris (Damm et al., 2008). However,<br />

there is no isolation of P. variabile having been reported<br />

in China. Our present study represents the first report of<br />

isolation of this species. This indicated its broad host<br />

spectrum, including several distantly related host plants<br />

and a wide geographical distribution.<br />

The basidiomycetous white-rot fungi and related litterdecomposing<br />

fungi are the most efficient lignin-degrading<br />

organisms in nature (Fackler et al., 2006; Ohkuma et al.,<br />

2001). However, the degradation of lignocellulose by<br />

ascomycetes is an important route for carbon cycling in<br />

plant litter and soils (Nilsson and Daniel, 1989; Liers et


Enzyme activity(U ml<br />

-1 )<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 2 4 6 8 10 12 14<br />

Time(day)<br />

Figure 7. Time course for MnP activity produced by GHJ-4.<br />

Table 1. Growth of GHJ-4 on different medium.<br />

Carbon source<br />

3 days<br />

Dry weight of mycelial (mg)<br />

6 days 9 days 12 days 15 days<br />

Lignin 2.2 4.9 10.0 16.9 25.5<br />

Guaiacol 0.5 1.2 6.4 8.8 12.3<br />

al., 2006). Our results showed that, the newly isolated<br />

ascomycete GHJ-4 could produce extracellular oxidoreductases<br />

including laccase, lignin peroxidase (LiP) and<br />

manganese peroxidase (MnP), which is the first record of<br />

P. variabile producing ligninolytic enzyme. Furthermore,<br />

laccase production by GHJ-4 was largely affected by<br />

culture conditions, particularly bran, which was in<br />

agreement with the reported results (Lee et al., 1999;<br />

Schlosser et al., 1997; Dong et al., 2005). Chen et al.<br />

(1982) had clearly demonstrated that, part of lignin<br />

degradation proceeds via low-molecular-weight aromatic<br />

acids and the dye serves as a substrate for fungal enzymes<br />

possibly related to lignin degradation (Glenn and<br />

Gold, 1983). Our results showed that, the newly isolated<br />

P. variabile GHJ-4 strain was capable of utilizing several<br />

lignin model compounds and decoloration of aromatic<br />

dyes, which provided additional evidence of degrading<br />

lignin of GHJ-4. In addition, this finding proved that GHJ-<br />

4 was able to degrade natural lignin.<br />

In conclusion, our results showed that this new isolated<br />

P. variabile GHJ-4 had a certain lignin degradation<br />

capacity and provided a new microorganism resource for<br />

Gao et al. 4173<br />

lignin degradation. The ability of this fungi strain could be<br />

of interest for lignocellulosic biomass degradation as well<br />

as treatments of pulp and paper mill effluent. However, it<br />

remains to be studied concerning the role of every<br />

ligninolytic enzyme of GHJ-4 strain on lignin biodegradation<br />

and how lignin is degraded by it. Furthermore,<br />

it would be more informative to compare the ligninolytic<br />

capabilities of this fungus with other lignin-degrading<br />

ascomycetes and basidiomycetes and further research<br />

concerning the role of ascomycetes on lignin biodegradation<br />

should be carried out using P. variabile GHJ-4<br />

and other microorganisms of this class.<br />

ACKNOWLEDGEMENT<br />

This work was funded by Natural Science Foundation of<br />

Shandong province, China (Grant No. Q2008D08).<br />

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421-429.


African Journal of Biotechnology Vol. 10(20), pp. 4175-4182, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2285<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Improved taxol production in Nodulisporium sylviforme<br />

derived from inactivated protoplast fusion<br />

Kai Zhao 1,2 , Lixin Sun 3 , Xi Ma 1 , Xiuliang Li 1 , Xin Wang 1 , Wenxiang Ping 1 and Dongpo Zhou 1 *<br />

1 Key Laboratory of Microbiology, College of Life Science, Heilongjiang University, 74 Xuefu Road, Harbin 150080, China.<br />

2 Biotechnology Research Center, Heilongjiang Academy of Agricultural Sciences, 368 Xuefu Road, Harbin 150086,<br />

China.<br />

3 Hospital of Heilongjiang University, Harbin 15008.<br />

Accepted 6 April, 2011<br />

Inactivated protoplast fusion by UV irradiation and UV+LiCl mutation was conducted using<br />

Nodulisporium sylviforme strain UV40-19 and UL50-6 to breed a high taxol-producing fungus. Qualitative<br />

and quantitative analysis of taxol production was confirmed using thin-layer chromatography, high<br />

performance liquid chromatography and mass spectrometry. The protoplasts of UV40-19 and UL50-6 were<br />

fully inactivated by heating at 54°C for 5 min and by UV irradiation (30 w UV light and vertical distance 30<br />

cm) for 85 s. The highest fusion rate (14.31 ± 1.13%) between UV40-19 and UL50-6 was obtained under the<br />

conditions of 35% PEG, 90 s fusion time and the addition of 0.01 mol/l CaCl2. One high taxol<br />

production strain HDF-68 was obtained. The taxol production was up to 468.62 ± 37.49 �g/l, which was<br />

increased by 24.51 and 19.35% compared with the parental strain UV40-19 and UL50-6, respectively. This<br />

study provided a good basis for the application of this technique to the breeding of the strains<br />

with high taxol output.<br />

Key words: Taxol, endophytic fungi, protoplast preparation, protoplast fusion.<br />

INTRODUCTION<br />

Taxol is a diterpenoid with anticancer activities. It was first<br />

isolated from the bark of Taxus brevifolia Nutt by Wani et<br />

al. (1971) and is still mainly extracted from the bark of<br />

yews. The action of taxol is to inhibit the depolymerization<br />

of microtubulin and disturb the function of microtubes thus,<br />

affect the formulation of spindle and inhibit tumor cell<br />

mitosis (Zhou et al., 2003). Recently, great effort has been<br />

made to develop alternative means of taxol production,<br />

including complete chemical synthesis (Holton et al.,<br />

1994a, b; Nicolaou et al., 1994), semi-synthesis<br />

(Comnercon et al., 1995; Holton et al., 1995) and the<br />

Taxus spp. plant cell culture (Christem et al., 1991; Arteca<br />

and Wickremesinhe, 1993; Ketchum et al., 1995;<br />

Furmanowa and Syklowska-Baranek, 2000; Wang at al.,<br />

2001).<br />

Using microbe fermentation to produce taxol is a<br />

*Corresponding author. E-mail: zhoudp2003@yahoo.<br />

com.cn. Tel: +86 0451 86609016. Fax: +86 0451<br />

86609016.<br />

very prospective method for obtaining a large<br />

amount of taxol. Several endophytic fungi that produce<br />

taxol have been isolated (Stierle et al., 1993; Strobel et al.,<br />

1996; Zhou et al., 2009). Since 1993, the authors have<br />

isolated five endophytic fungal species that can produce<br />

taxol by screening samples from the inner bark<br />

(phloem-cambium) and xylem of Taxus cuspidata Sieb. et<br />

Zucc. These fungi are Nodulisporium sylviforme (Zhou et<br />

al., 2001), Pleurocytospora taxi (Sun et al., 2003),<br />

Alternaria taxi (Ge et al., 2004), Botrytis (Zhao et al.,<br />

2008a) and Aspergillus niger var. taxi (Zhao et al., 2009).<br />

However, the method is still at the experimental<br />

stage due to the low yield of the isolated and bred<br />

strain, which makes industrial production difficult.<br />

Therefore, the bottleneck lies in the breeding of high<br />

yield strain (Zhou et al., 2003). Two high taxol-<br />

production mutants UV40-19 and UL50-6, were screened<br />

from N. sylviforme HQD33 by UV irradiation and UV+LiCl<br />

mutating in our lab to induce mutagenesis. The<br />

common mutagenesis may have little effect on taxol<br />

production. Alternatively, protoplast fusion can be used<br />

to produce high yield stable strain and is widely applied to


4176 Afr. J. Biotechnol.<br />

fungal breeding (Gokhale, 1992; Muralidhar and Panda,<br />

2000). Up to date, no report on the breeding of high<br />

taxol-production strain by inactivated protoplast fusion<br />

is available. In this study, we report the production<br />

of a high taxol-producing strain by inactivated<br />

protoplast fusion of two parental strains.<br />

MATERIALS AND METHODS<br />

Strains<br />

The spores from N. sylviforme HQD33 (a taxol-producing endo-<br />

phytic fungus isolated from T. cuspidata in China, CCTCC M 202049)<br />

with a taxol output of 51.06 to 125.70 µg/l were subjected to<br />

a series of mutagenesis screening (UV, EMS, 60 Co and NTG).<br />

A mutagenesis-derived strain NCEU-1 with a taxol output of<br />

314.07 μg/l was used as the primary starting strain. UV 40-19<br />

with taxol output of 376.38 µg/l and UL50-6 with taxol output<br />

of 392.63 µg/l were the mutants from strain NCEU-1<br />

protoplasts which underwent UV mutagenesis and the<br />

combined mutagenesis by UV and LiCl, respectively (Zhao<br />

and Zhou, 2004). UV40-19 and UL50-6 were used as parental strains in<br />

this study for inactivated protoplast fusion.<br />

Media<br />

Potato dextrose agar (PDA) medium and potato dextrose liquid<br />

medium (Shen et al., 1999) were used as the growing medium. For<br />

the regeneration of protoplasts, solid regeneration medium (PDA<br />

medium containing 0.7 mol/l NaCl) and semi-solid regeneration<br />

medium (reducing the content of agar in solid regeneration medium<br />

to 6 to 8 g/l) were used as hypertonic media. S-7 medium (Stierle<br />

et al., 1993) with the addition of tyrosine, linoltic acid and<br />

phenylalanine at a final concentration of 1.5 to 5.0 mg/l was<br />

used as the fermentation medium.<br />

Lytic enzyme solution<br />

Lytic enzyme solution was prepared by dissolving 30 mg/ml<br />

lywallzyme (Institute of Microbiology of Guangdong, Guangzhou,<br />

China), 20 mg/ml snailase (Beijing BioTech Co., China) and 10<br />

mg/ml lysozyme (Institute of Biochemistry, Academy of China) in 0.7<br />

mol/l NaCl, followed by clarifying the solution by centrifuged at 4000<br />

r/min at 4°C for 15 min. The supernatants were collected by filtration<br />

and the pH was adjusted to 5.5 to 6.0.<br />

Osmotic stabilizer and fusogen<br />

NaCl at 0.7 mol/l was used as the osmotic stabilizer. Polyethylene<br />

glycol (PEG, MW 6000) was dissolved in the osmotic stabilizer to<br />

yield final concentration of 25, 30, 35and 40% (w/v), respectively.<br />

The PEG solutions containing 0.01 mol/l CaCl2 and 0.05 mol/l<br />

glycine were used as fusogen.<br />

Preparation and regeneration of protoplasts<br />

Preparation and regeneration of protoplasts were carried out<br />

as previously described (Zhao and Zhou, 2004).<br />

Inactivation and fusion of protoplasts<br />

Protoplasts of strain UV40-19 were inactivated by heating at 54°C for<br />

5 min. Protoplasts of strain UL50-6 were inactivated by UV irradiation<br />

(30 w UV light and vertical distance 30 cm) for 85 s. Two<br />

inactivated protoplast suspensions were selected<br />

randomly with a concentration of 1.0×10 6 protoplasts/ml. 1<br />

ml of each was mixed and centrifuged at 3000 r/min for 10<br />

min. The protoplasts were collected and suspended in 0.2 ml<br />

osmotic stabilizer, then 1.8 ml different concentrations of<br />

PEG preheated at 30°C was added to the suspensions. The<br />

mixed liquid was treated at a 30°C water bath for different<br />

periods, then 5 ml osmotic stabilizer at 4°C were added to<br />

stop the fusion, followed by washing and centrifugation to<br />

discard the fusion agent. The washed protoplasts were<br />

resuspended into osmotic stabilizers and regenerated by<br />

double-layer culture for 3 to 5 days at 28°C (Zhao et al., 2008b).<br />

The fusion rate was calculated based on the regeneration of<br />

syzygies and inactivated parents.<br />

The fusion time was set at 60 s with PEG concentrations at<br />

25, 30, 35 and 40%. Then, the fusion time was set at 30, 60,<br />

90 and 120 s under the optimal PEG concentration. In<br />

addition, the effect of Ca 2+ (0.01 mol/l CaCl2) in the fusion<br />

reagents on the fusion rate of the protoplasts was estimated.<br />

The fusion rate of the protoplasts was calculated as follows<br />

(Zhao et al., 2008b):<br />

a= ((b-c)/d) ×100%<br />

Where, a, refers to the fusion rate of the protoplasts; b refers<br />

to the number of colonies on the regeneration plate; c refers<br />

to the number of colonies on the inactivated parent<br />

regeneration plate; d refers to the number of parent colonies<br />

on regeneration plate.<br />

Screening of fusants with high taxol yield<br />

The obtained fusants with good mycelia growth and spore-<br />

production abilities were successively transferred and cultured.<br />

They were transferred onto plates containing 135 μg/ml Nystatin and<br />

cultured at 28°C for 3 days (Zhao et al., 2005). Single colony<br />

growing fast on the plates with large diameter was selected as<br />

resistant strains through primary screening which were used for the<br />

screening of high-output strains. Other colonies were discarded.<br />

The fusants obtained by primary screening were activated on PDA<br />

slope culture at 28°C, then transferred into 50 ml PDA liquid medium<br />

in 250 ml flask and cultured at 28°C for 3 days. The products were<br />

inoculated into modified S-7 culture at the concentration of 3% (v/v)<br />

and fermented at 28°C and 150 r/min for 12 days. At the end of<br />

fermentation, the filtrate and mycelium were collected. The filtrate<br />

was extracted twice using acetic ether, one hour each time and<br />

supernatants were collected. The mycelium was whetted fully and<br />

extracted using 30 ml acetic ether for 1 h. The organic phase was<br />

combined and then, distilled to remove the organic solvent.<br />

Purification by column chromatography<br />

The silica gel used for 60 to 100 um column chromatography<br />

was dipped in CHCl3 overnight and packed (15 × 260 mm) by<br />

gravity settling. The impurities were washed out from silica<br />

gel thoroughly using CHCl 3. The sample was dissolved into<br />

the CHCl3 and loaded. The unabsorbed impurities were<br />

washed out using CHCl3. Thereafter, methanol: CHCl3 (3:97,<br />

v/v) was used for elution and the peaks were collected. All<br />

the process was carried out at room temperature.<br />

Thin-layer chromatography (TLC) analysis<br />

The chloroform-methanol (7:1, v/v) was used as developer


Regeneration rate of protoplasts (%)<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1 2 3 4 5 6 7 8 9 10 11 12<br />

Heat inactivation time (min)<br />

Figure 1. Effect of heat inactivation time and temperature on<br />

regeneration rate of strain UV40-19 protoplasts.<br />

and taxol standard (Sigma Ltd) was used as the control. 1%<br />

vanillin-concentrated sulfuric acid was used as<br />

chromatography agent. After TLC developing,<br />

chromategenic agent was sprayed and dried at 90 to 105°C<br />

for chromatogenic reaction.<br />

High performance liquid chromatography (HPLC) analysis<br />

Using taxol standard as control, the corresponding TLC area of 1<br />

cm 2 of the sample was scratched and dissolved using 1 ml methanol<br />

and eluted using ultra sonication. The eluate was filtered. A Waters<br />

Millennium32 HPLC workstation equipped with a photodiode array<br />

detector was used for quantitative analysis. An aliquot of taxol<br />

extract (10 μl) was lyophilized and dissolved in 1% methanol and<br />

was injected onto a 250 × 4.6 mm Taxsil-3 C18 reverse phase<br />

column. The mobile phase was a mixture of methanol-water (60:40)<br />

and the flow-rate was set at 1.0 ml/min. Taxol in the eluent was<br />

detected by measuring the absorbance at 227 nm where taxol has<br />

the maximum absorbance. Qualification was achieved using the<br />

standard curve generated from the taxol standard over a<br />

concentration range of 0.05 to 1.00 mg/ml at which the peak area<br />

showed linear relationships with the absorbance (r = 0.9988).<br />

Mass spectrometry analysis<br />

The HPLC peak with the same retention time as the standard<br />

was collected and dried. The structure of the extracted taxol was<br />

confirmed with a waters triple quadrupole tandem LC-MS system<br />

(Waters, MA, USA). The HPLC portion was run isocratically with<br />

acetonitrile: water (49:51) as mobile the phase. The sample was<br />

loaded onto a 250 × 4.6 mm Taxsil-3 C18 reverse phase column<br />

(Metachem, Co. Ltd) and separated at a flow rate of 0.8 ml/min with<br />

the column temperature at 35°C. The MS scanning ranged from 100<br />

to 1000 m/z and the shell gas (N2) and assistant gas (N2) were 65<br />

international units (IU) and 20 IU, respectively. The discharge<br />

current was 5 µA. The evaporator and capillary temperatures were<br />

465 and 180°C, respectively.<br />

Measurement of hereditary stability of fusants<br />

Fusants with high taxol output were cultured for ten gene-<br />

Zhao et al. 4177<br />

44°C<br />

52°C<br />

54°C<br />

rations. Strains with good hereditary stability and high yield<br />

of taxol were stored.<br />

RESULTS<br />

Preparation, inactivation and fusion of protoplasts<br />

The yield of N. sylviforme UV40-19 and UL50-6 protoplasts<br />

was up to 1.26 × 10 and 1.82 × 10 7 /ml, respectively.<br />

Regeneration tests of inactivated protoplasts of both<br />

strains showed that no colony grew on the regeneration<br />

medium (Figures 1 and 2), demonstrating that the<br />

inactivation process was successful.<br />

The protoplast fusion rate at different PEG<br />

concentration and different fusion time was shown in<br />

Tables 1 and 2, respectively. It can be seen that both PEG<br />

concentration and fusion time had great effects on the<br />

protoplast fusion. The optimal PEG concentration was<br />

35% and the optimal fusion time was 90 s.<br />

The addition of Ca 2+ into the fusion agent can<br />

improve the fusion rate of the protoplasts signifi-<br />

cantly. Figure 3 showed that under conditions of 90<br />

s and 35% PEG, the addition of 0.01 mol/l CaCl2<br />

increased the fusion rate of the protoplasts, from<br />

10.92 ± 0.76 to 14.31 ± 1.13%.<br />

Screening of fusants with high taxol output<br />

Isolated fusants were transferred onto the PDA medium<br />

and incubated at 28°C for 2 to 3 days. There were great<br />

differences on the morphological characters and growth<br />

rate among fusants. The fusants growing faster were<br />

selected out and employed to fermentation and hereditary<br />

stability tests. From thirty five fusants, one high yield<br />

fusant HDF-68 was obtained. Morphological comparisons<br />

between parents and HDF-68 were shown in Table 3.


4178 Afr. J. Biotechnol.<br />

Regeneration rate of protoplasts (%)<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

30 40 50 60 70 80 90 100<br />

UV irradiation time<br />

Figure 2. Effect of UV irradiation time on regeneration rate of strain UL50-6 protoplasts.<br />

Table 1. Effect of PEG concentration on fusion rate.<br />

PFG concentration (%, w/v) Fusion rate (×10 -2 )*<br />

25 1.53 ± 0.11<br />

30 4.92 ± 0.21<br />

35 9.61 ± 0.52<br />

40 6.44 ± 0.48<br />

*Data were shown as Means ± SD and mean values were based<br />

on five replicates.<br />

Clearly, the morphological characters of fusant HDF-68<br />

were not identical to either of the parents. It displayed<br />

mixed characters of both parents’ strains.<br />

Taxol production in the fusant HDF-68<br />

TLC analysis showed that the fermentation extractions<br />

from the fusant HDF-68 appeared one blue dot located at<br />

the same place as the standard taxol Rf. This test<br />

indicated that the fusant HDF-68 can produce taxol or<br />

taxol-like compounds. Extracted from fermented fungal<br />

culture, the taxol sample showed the characteristic peaks<br />

as the standard taxol in the HPLC chromatogram (Figure<br />

4a and b). After the addition of the taxol standard into the<br />

samples, the peaks from the samples increased,<br />

supporting that the purified fermentation product from the<br />

fusant HDF-68 is taxol. Based on taxol standard curve,<br />

the taxol content produced in the sample was 468.62 ±<br />

37.49 �g/l. The taxol output of the fusant HDF-68 was<br />

higher than their parent strains N. sylviforme UV40-19 and<br />

UL50-6 by 24.51 and 19.35%, respectively (p < 0.01).<br />

Waters LC-MS analysis confirmed that purified product<br />

Table 2. Effect of fusion time on fusion rate.<br />

Fusion time (s) Fusion rate (×10 -2 )*<br />

30 4.08 ± 0.26<br />

60 6.18 ± 0.28<br />

90 10.92 ± 0.76<br />

120 8.27 ± 0.41<br />

*Data were shown as Means ± SD and mean values<br />

were based on five replicates.<br />

is taxol with the expected molecular ion mass (M+H) + (m/z<br />

854.92) (Figure 5).<br />

Stability of strain HDF-68<br />

After ten generations of successive subculturing, the<br />

colony morphological characteristics of strain HDF-68<br />

were identical to those of the original fusant strain and the<br />

taxol output of successive strain of the fusant HDF-68<br />

was almost the same as the original fusant strain (Table<br />

4). The results showed that strain HDF-68 remained<br />

stable after being cultured for ten generations.<br />

DISCUSSION<br />

Effects of PEG concentration and fusion time on<br />

fusion rate<br />

PEG is the most commonly used fusogen and its con-<br />

centration has a significant effect on the rate of protoplast<br />

fusion (Gokhale, 1992). Previous studies showed that, in


Fusion rate (%)<br />

16<br />

15<br />

14<br />

13<br />

12<br />

11<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

(%)<br />

A B<br />

Figure 3. Effect of Ca 2+ on fusion rate. (A) With 0.01 mol/l Ca 2+ ; (B) without Ca 2+ .<br />

Table 3. Morphological characters of parents and fusant HDF-68.<br />

Strain UV40-19 UL50-6 HDF-68<br />

Colony morph<br />

Colony diameter<br />

(PDA, 5 days)<br />

Colonies loose, hoary,<br />

reverse light yellow, margin<br />

irregular, mycelium effuse<br />

Colonies dense, hoary,<br />

reverse light brown, margin<br />

regular, mycelium effuse<br />

5.8-6.7 cm 5.4-6.2 cm 6.1-6.2 cm<br />

Zhao et al. 4179<br />

Colonies dense, hoary,<br />

reverse light yellow,<br />

margin irregular,<br />

mycelium effuse<br />

Spore volume* 33.68 ± 7.58 �m 3 29.45 ± 12.77 �m 3 36.95 ± 6.36 �m 3<br />

*Spore volume was calculated by the equation: V = 4/3·π·a/2·(b/2) 2 . a: length of long axis; b: length of minor axis. Data were<br />

shown as Means ± SD and mean values were based on ten replicates.<br />

case of fungi, 25 to 40% PEG had the optimal effect on<br />

improving fusion rate (Zhou and Ping, 1990). In this study,<br />

35% PEG was the optimal concentration for protoplast<br />

fusion. Compared with the concentration of fusogen,<br />

fusion time has less influence on the fusion rate<br />

(Wesseling, 1982; Zhou and Ping, 1990). Only short<br />

period (about 1 min) of exposure to PEG was enough to<br />

induce protoplast fusion and with the prolonged fusion<br />

time, the fusion frequency did not increase accordingly<br />

(Hopwood and Wright, 1979; Baltz and Matsushima,<br />

1981). The results of this study showed that, over the<br />

range of 30 to 90 s, with the increasing of fusion time, the<br />

fusion rate increased. The optimal fusion time for N.<br />

sylviforme was 90 s. Further prolonging the fusion time<br />

will reduce the fusion rate. The optimal fusion time varies<br />

with the diffe- rent species.<br />

Production of HDF-68 using inactivated protoplast<br />

fusion<br />

In this study, the inactivation rates of both parents were<br />

100%, so all the colonies growing on the regeneration<br />

medium should be fusants, which made the selection<br />

procedure of fusants easier. The regeneration rate in this<br />

study was up to 14.31 ± 1.13%. This is because heat


4180 Afr. J. Biotechnol.<br />

Figure 4. HPLC chromatograms of taxol extracted from strain HDF-68. Arrows indicate the taxol-specific peaks. A, Taxol<br />

sample extracted from strain HDF-68; B, taxol molecule standard.<br />

treatment and UV-irradiation affected the different<br />

processes of the protoplasts. For example, UV-irradiation<br />

could enhance crossing over between the two genomes,<br />

leading to high complementation ability (Gokhale, 1992).<br />

Although, a lot of fusants were obtained, many were<br />

unstable. This may be because the protoplasts derived<br />

from mycelium of N. sylviforme contain several nuclei,<br />

which usually leads to multinucleate protoplasts (Gokhale,<br />

1992).<br />

Through protoplast fusion with inactivated parents, we<br />

have succeeded in obtaining a high yield fusant HDF-68<br />

that could produce 468.62 �g/l taxol and the fusant HDF-<br />

68 exhibited characteristics of both parents and genetic<br />

stability after subculturing. These results suggest that<br />

intraspecific chromosomal recombination between N.<br />

sylviforme UV40-19 and UL50-6 might have occurred since<br />

the parents were inactivated.<br />

Up to date, there is no report on using inactivated<br />

protoplast fusion to produce a strain with high taxol<br />

output. This is the first successful application of the<br />

methods in improving taxol output of endophytic fungi.<br />

Although, the yield of taxol obtained in this study is<br />

insufficient for industrial production, we proved that the<br />

inactivated protoplast fusion is an effective method in<br />

fungus breeding and provided a good basis for the<br />

application of this technique to the breeding of the<br />

strains with high taxol output. Further improvement of<br />

strain HDF-68 and the optimization of fermentation<br />

conditions and culture medium might lead to higher<br />

production of taxol.<br />

ACKNOWLEDGEMENTS<br />

This study was supported by National Natural<br />

Science Foundation of China (30970090), China<br />

Postdoctoral Science Foundation (20090450136),<br />

Innovation Foundation of Harbin (2010RFQXS043),<br />

Program for New Century Excellent Talents in<br />

Heilongjiang Provincial University, Research<br />

Program Heilongjiang Education Bureau (11551377),<br />

High-level Talents (innovation team) Project of


Figure 5. Mass spectrum of taxol extracted from strain HDF-68. Arrow indicates the molecular ion of taxol at m/z 855(M+H) +<br />

Table 4. Properties of HDF-68 after 10 generations.<br />

Heilongjiang University (Hdtd2010-17) and<br />

Outstanding Youth Science Fund of Heilongjiang<br />

University.<br />

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2623-2625.


African Journal of Biotechnology Vol. 10(20), pp. 4183-4189, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2286<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Production of ethanol from mango (Mangifera indica L.)<br />

peel by Saccharomyces cerevisiae CFTRI101<br />

Lebaka Veeranjaneya Reddy 1 *, Obulam Vijaya Sarathi Reddy 2 and Young-Jung Wee 3 *<br />

1 Department of Microbiology, Yogi Vemana University, Kadapa (A.P.) 516 003, India.<br />

2 Department of Biochemistry, Sri Venkateswara University, Tirupati 517 502, India.<br />

3 Department of Food Science and Technology, Yeungnam University, Gyeongsan, Gyeongbuk 712-749, Korea.<br />

Accepted 4 April, 2011<br />

Mango fruit processing industries generate two types of waste, including solid waste (peel and stones)<br />

and liquid waste (juice and wash water). Utilization of this waste is both a necessity and challenge. This<br />

work was aimed to investigate the suitability of dried mango peel for ethanol production. The mango peel<br />

contained good amount of reducing sugars up to 40% (w/v). Direct fermentation of mango peel extract<br />

gave only 5.13% (w/v) of ethanol. The rate of the fermentation was very slow. Nutrients such as yeast<br />

extract, peptone and wheat bran extract were tested for the supplementation of mango peel medium and<br />

it was observed that the nutrient supplementation increased the ethanol production significantly up to<br />

7.14% (w/v). The suitability of wheat bran extract (WBE) based medium, which is cheap and abundantly<br />

available for mango peel fermentation was also discussed.<br />

Key words: Mango peel, ethanol fermentation, nutrient supplementation, wheat bran extract.<br />

INTRODUCTION<br />

The excessive consumption of fossil fuels, particularly in<br />

large urban areas, has greatly contributed to generation<br />

of high levels of pollution. There is a need for environmentally<br />

sustainable energy sources to find a viable and<br />

long-term substitute for liquid petroleum. As a step to<br />

solve this problem, the use or addition of biofuels to<br />

gasoline, which reduces emission of carbon monoxide<br />

and unburned hydrocarbons that form smog, has widely<br />

been enforced in recent years (Wyman, 1994). In this<br />

regard, India reforms are taken by blending 10 to 15%<br />

ethanol in its gasoline usages. Converting a renewable<br />

non-fossil carbon, such as organic wastes and biomass<br />

consisting of all growing organic matter (plants, grasses,<br />

fruit wastes and algae) to fuel would assure a continual<br />

energy supply (Wyman, 1996).<br />

The economics of ethanol production by fermentation<br />

*Corresponding author. E-mail: lvereddy@yahoo.com;<br />

yjwee@ynu.ac.kr. Tel: +91 92909 75611; +82 53 810 2951.<br />

Fax: +82 53 810 4662.<br />

are significantly influenced by the cost of the raw materials,<br />

which accounts for more than half of the production costs<br />

(Classen et al., 1999). To achieve a lower production<br />

cost, the supply of cheap raw material is thus a necessity.<br />

Production of value added products from agro-industrial<br />

and food processing wastes is now a focusing area, as it<br />

reduces pollution in the environment in addition to energy<br />

generation. The annual availability of these wastes<br />

amounts to 1.05 billion tons (Anonymous, 2004). The<br />

major part of this is mostly discarded and it is the main<br />

source for increasing the pollution in environment on<br />

occasions and also, the discarding process become a<br />

very expensive step due to high transportation costs.<br />

Majority of fruit and vegetable wastes available from their<br />

processing industries are seasonal and they do not<br />

decompose rapidly. The mechanical drying of these<br />

wastes (mango peel, citrus peel, pineapple peel and<br />

tomato processing wastes) gave opportunity to store the<br />

substrate all over the year. The yeast Saccharomyces<br />

cerevisiae and facultative bacterium Zymomonas mobilis<br />

are better candidates for industrial alcohol production. Z.<br />

mobilis possesses advantages over S. cerevisiae with


4184 Afr. J. Biotechnol.<br />

respect to enthanol productivity and tolerance. However,<br />

ethanol is produced commercially by yeast because it<br />

ferments glucose to ethanol as a virtually sole product<br />

and it is known for its high ethanol tolerance, rapid<br />

fermentation rates and insensitivity to temperature and<br />

substrate concentration (Linden and Hahn-Hägerdal,<br />

1989).<br />

Mango is processed to a maximum extent, thereby producing<br />

high quality of solid and liquid wastes. Solid<br />

wastes, stones, stalks, trimmings and fibrous materials<br />

are obtained during the preparation of raw material. This<br />

contributes about 40 to 50% of total fruit waste out of<br />

which, 5 to 10% is pulp waste and 15 to 20% is kernel<br />

(Anonymous, 2004; Madhukara et al., 1993; Maini et al.,<br />

2000; Pandey et al., 2000). Liquid waste is the waste<br />

material that comes out of a factory after washing of<br />

fruits, packaging, blanching, cooling and plant and machinery<br />

clean up and so on. Utilization of this mango waste<br />

is both a necessity and a challenge. If a factory is<br />

processing five tons of Totapuri mangoes per hour, about<br />

six tons of peel would be available as waste per day of 8<br />

h work. Approximately, 0.4 to 0.6 million tons of mango<br />

peel is generated annually in India (Anonymous, 2004).<br />

This waste is either used as cattle feed or dumped in<br />

open areas, where it adds to environmental pollution. The<br />

use of mango peel as a source of pectin and fibre<br />

production also has been reported (Pandia et al., 2004).<br />

Grohmann et al. (1994; 1995; 1996; 1998) previously<br />

reported ethanol production from orange peel. Ethanol<br />

production from banana (Manikandan et al., 2008) and<br />

pineapple peels (Ban-koffi and Han, 1990) were also<br />

investigated. Mango peel is difficult to decompose, as it<br />

takes a very long time, because of its complex composition.<br />

Suitability of mango peel for biogas production was<br />

investigated by Madhukara et al. (1993). However,<br />

ethanol fermentation from fruit and vegetable wastes like<br />

mango peel appears to give better returns. The presence<br />

of high amount of reducing sugars in dried and fresh<br />

mango peel prompted us to make an attempt to utilize it<br />

as a raw material for ethanol production and development<br />

of cheap medium. As far as we know, this is the first<br />

report of its kind on ethanol production from mango peel.<br />

MATERIALS AND METHODS<br />

Strain and medium<br />

Non-amylolytic and ethanol-producing yeast strain S. cerevisiae<br />

CFTRI 101 was used throughout the experiments; was obtained<br />

from CFTRI, Mysore, India. The culture was maintained on MPYD<br />

(malt extract 0.3%, peptone 0.5%, yeast extract 0.3% and dextrose<br />

2%) agar (1.5%) slants at 4°C. The inoculum was prepared by<br />

inoculating the slant culture into 25 ml of the sterile MPYD liquid<br />

medium in 100 ml conical flask and growing it on a rotary shaker<br />

(100 rpm) for 48 h. 10% (v/v) inoculum (3 × 10 4 cells ml -1 ) was<br />

inoculated into 100 ml sterile mango peel extract broth in 250 ml<br />

conical flask and was incubated up to 5 days under stationary<br />

conditions. All the stated experiments were conducted at pH 5.0<br />

and 30°C.<br />

Mango peel<br />

Mango peel was procured from local mango pulp industry (Vinsari<br />

Fruit Pulp Industries Ltd., Renigunta, Tirupati, India). It was dried<br />

and milled to a particle size of 40 BS (British Standard) mesh in an<br />

apex mill.<br />

Extraction of sugars from mango peel<br />

Mango powder (100 g) was mixed with water (1:3) and left overnight.<br />

The liquid containing sugars was extracted with the help of<br />

cheesecloth by squeezing. This acted as control. In the case of<br />

enzymatic digestion with 1% (v/v) pectinase, Trizyme 50 (Triton<br />

Chemicals, Mysore, India) was used for improved results. The<br />

extraction medium pH was 5.0 and the temperature was 37°C. The<br />

extract was suitably diluted to obtain the desired concentration of<br />

sugars (15-17%, w/v), and was supplemented with various nutrients<br />

(yeast extract 1%, peptone 1.5%, ammonium phosphate 2% and<br />

wheat bran 3%) in order to study the effect of nutrients on fermentation.<br />

The unsupplemented medium acted as the control. In the<br />

case of wheat bran extract supplementation experiments, mango<br />

peel sugars were extracted into the wheat bran extract solution<br />

instead of water.<br />

Preparations of wheat bran extract (WBE)<br />

Wheat bran obtained from the local market was used in preparation<br />

of the wheat bran extract. Wheat bran (30 g) was boiled with 500 ml<br />

of water for 10 min. After cooling, it was filtered and equal volume<br />

(500 ml) of the extract was collected by washing the residue and<br />

made to 1 L (Shamala and Sreekantiah, 1988).<br />

Analytical methods<br />

Mango peel analysis for the determination of moisture, non-reducing<br />

sugars, protein, total soluble solids, cellulose and lignin was<br />

carried out according to the methods of Ranganna (1986).<br />

Reducing sugar concentration was estimated by Shaffer and<br />

Somogyi (1933) method. Ethanol and other metabolites were determined<br />

by gas chromatography coupled with flame ionization detector<br />

(Antony, 1984). Final cell biomass was estimated by weighing the<br />

dried yeast cells after fermentation. All data are shown as the<br />

average values and standard deviations from three independent<br />

experiments, unless otherwise stated.<br />

RESULTS<br />

Extraction of sugars from dried mango peel<br />

From the aqueous extraction, low amount of sugars were<br />

obtained; only 20% (w/v). Mango peel treated with crude<br />

pectinase yielded higher levels of solubilisation and<br />

reducing sugars (30 ± 5%, w/v) (Tables 1 and 2). The<br />

optimum incubation period for solubilisation of the maximum


Table 1. Composition of fresh and dried mango peel used in this<br />

study.<br />

Content Fresh mango<br />

peel<br />

sugars was found to be 24 h (Figure 1). The results also<br />

indicated a relatively low inhibition of hydrolytic enzymes<br />

(amylases and cellulases) by the sugars released from<br />

Dried mango<br />

peel<br />

Moisture 70 ± 5 10 ± 1.2<br />

Total solids 25.6 ± 4.6 70.5 ± 2.7<br />

Reducing sugars 7.0 ± 1.8 30 ± 2.5<br />

Non-reducing sugars 5.9 ± 0.4 4.3 ± 0.5<br />

Protein 3.5 ± 0.5 4.0 ± 0.8<br />

Cellulose and lignin 25.2 ± 2.0 23 ± 1.2<br />

Table 2. Effect of pectinase enzyme (1%, v/v) on sugar extraction<br />

from dried mango peel.<br />

Time (h)<br />

Reducing sugar (%, w/v)<br />

Pectinase non-treated Pectinase treated<br />

5 5.8 ± 0.5 10 ± 0.63<br />

10 10 ± 0.65 15.6 ± 2.3<br />

15 15.5 ± 1.5 21 ± 1.6<br />

20 18 ± 1.3 24.3 ± 1.3<br />

25 20 ± 1.5 30 ± 5.5<br />

Figure 1. Total percentage of water soluble solids and sugars in the<br />

dried mango peel extract after pectinase (1%, v/v) treatment. –●–,<br />

total water soluble solids; –■–, soluble sugars.<br />

Reddy et al. 4185<br />

the mango peel. Another significant observation made<br />

during this study was decrease in the initial pH from 5 to<br />

4.5 at the end.


4186 Afr. J. Biotechnol.<br />

Effect of pH, temperature and nutrients on the dried<br />

mango peel fermentation<br />

The levels of reducing sugars were adjusted to 15% (w/v)<br />

with the dilution and the required nutrients were supplemented<br />

for fermentation. The direct fermentation of<br />

mango peel extract gave 5.14% (w/v) ethanol. The<br />

results of optimizing the culture conditions such as pH<br />

and temperature indicated that, the changes in pH and<br />

temperature could affect the final ethanol concentration.<br />

The final ethanol concentration at different pH and temperature<br />

experiments (Figure 2a, b) showed that 30°C<br />

and pH 4.5 were optimum for ethanol production from<br />

mango peel extract.<br />

The supplementation of nutrients significantly increased<br />

the ethanol concentration and fermentation rate. Yeast<br />

extract alone and combination with peptone supple-<br />

Figure 2. Effect of (a) pH and (b) temperature on ethanol<br />

fermentation from the dried mango peel extract.<br />

mentation attributed to the ethanol formation very rapidly<br />

and formed 7.0 and 7.14% (w/v) ethanol, respectively,<br />

instead of 5.14% (w/v) from unsupplemented media at<br />

the end of the fermentation. The data on fermentation of<br />

mango peel extract with nutrient supplementation are<br />

presented in Table 3. The mango peel extract with wheat<br />

bran extract medium significantly increased the yeast<br />

growth and the ethanol formation when compared with<br />

the peel extract alone (Table 3). The wheat bran extract<br />

increased the ethanol concentration from 51.4 to 67.5 g l -<br />

1 (Figure 3). We also tried the fresh mango peel, which<br />

contained low levels of reducing sugars (7 to 10%, w/v)<br />

because of its high amount of water (90%, v/v). Experiments<br />

with the fresh mango peel extract without supplementation<br />

of nutrients was also done, but it gave low<br />

ethanol productivity (3%, w/v).<br />

For cell viability when compared with the control medium,


Table 3. Periodical analysis of ethanol and final cell mass during fermentation of mango peel extract supplemented with various nutrients a .<br />

Supplement<br />

Ethanol<br />

concentration<br />

(g L -1 )<br />

24 h 48 h 72 h<br />

Theoretical<br />

ethanol<br />

yield (%)<br />

Volumetric<br />

productivity<br />

(g L -1 h -1 )<br />

Ethanol<br />

concentration<br />

(g L -1 )<br />

Theoretical<br />

ethanol<br />

yield (%)<br />

Volumetric<br />

productivity<br />

(g L -1 h -1 )<br />

Ethanol<br />

concentration<br />

(g L -1 )<br />

Theoretical<br />

ethanol yield<br />

(%)<br />

Reddy et al. 4187<br />

Volumetric<br />

productivity<br />

(g L -1 h -1 )<br />

Control 23 30.7 0.95 45.6 60.0 0.93 51.3 68.4 0.71 5.2<br />

Peptone 30 40 1.25 55.4 73.3 1.15 68.8 91.7 0.95 6.3<br />

Yeast extract 33.2 44.3 1.38 60.5 80.7 1.26 70.0 93.7 0.92 6.6<br />

Ammonium<br />

phosphate<br />

25.4 33.6 1.05 46.7 62.3 0.97 53.2 70.9 0.73 5.1<br />

Peptone +<br />

yeast extract<br />

34.5 46.0 1.43 62.2 82.9 1.29 71.4 95.2 0.99 6.8<br />

Wheat bran<br />

extract<br />

30.8 41.1 1.28 53.9 71.9 1.12 67.5 90 0.93 6.2<br />

a The values presented in the table are mean values of three independent experiments.<br />

the supplemented medium had high cell count<br />

at the end of the fermentation (data not shown).<br />

The stated results were supported by the increase<br />

of final biomass in the nutrient supplemented<br />

mango peel extract medium (Table 2).<br />

DISCUSSION<br />

The dried mango peel contained high amount of<br />

reducing sugars (up to 45%, w/v) and the results<br />

are in accordance with those of previous reports<br />

(Anonymous, 2004; Madhukara et al., 1993). In<br />

the case of aqueous extraction, the sugar content<br />

was very low. The reason for the low content<br />

could be due to the presence of pectin, which held<br />

the sugar molecules and could not be released<br />

with simple water extraction. The presence of<br />

other enzymes like amylase and cellulase in the<br />

crude pectinase, may aid to increase sugar concentration<br />

by hydrolyzing the respectable substances<br />

(Grohmann et al., 1995). The significant<br />

pH drop during the enzymatic hydrolysis of mango<br />

peel is undoubtedly caused by the release of Dgalacturonic<br />

acid from pectin. The pKa value of Dgalacturonic<br />

acid is 3.51 (Filippov et al., 1978) and<br />

the pH values of peeled hydrolyzates appeared be<br />

to stabilized in the range of 3.3 and 3.5. The low<br />

yields of ethanol from dried mango peel increase<br />

the cost of production. Increase in the ethanol<br />

production up to 7 to 7.5% (w/v) as in general<br />

industrial output from molasses can economize<br />

the process. The development of cheap medium<br />

for fruit waste fermentation to ethanol also<br />

required low-cost ethanol production.<br />

To improve the concentration of ethanol, the fermentation<br />

medium was supplemented with variety<br />

of nutrients like yeast extract, peptone and<br />

Biomass<br />

(g L -1 )<br />

ammonium phosphate to overcome the nutritional<br />

deficiency. The result presented in Table 3 clearly<br />

indicates that, in the case of supplementation of<br />

nutrients, not only the rate of ethanol synthesis<br />

but also the final ethanol concentration increased<br />

significantly. The combination of yeast extract and<br />

peptone gave the maximum improvement in rate<br />

of ethanol synthesis as well as final concentration<br />

in the medium. The ethanol production as well as<br />

viable cell count was significantly increased up to<br />

50 and 20%, respectively, in the mango peel<br />

extract with yeast extract and peptone supplementation.<br />

However, the ammonium phosphate<br />

supplemented one did not stimulate the ethanol<br />

production. Similar results were also obtained in<br />

the case of ethanol fermentation from orange peel<br />

by genetically modified Escherichia coli, which<br />

can utilize the glucose, galactose and galcturonic<br />

acid for ethanol product (Grohmann et al., 1994,


4188 Afr. J. Biotechnol.<br />

Figure 3. Effect of wheat bran extract on the conversion of mango peel to<br />

ethanol fermentation. –▲–, mango peel extract medium supplemented with<br />

wheat bran extract; –■–, control (unsupplemented medium).<br />

1996). It is possible to produce high ethanol<br />

concentrations by extending exponential growth phase of<br />

yeast to longer periods and soluble sugar concen-tration<br />

as in the case of beer production (Kirsop, 1978; Casey<br />

and Magnus, 1984). It is expected that the nutrient<br />

supplementation would overcome nutritional deficiencies<br />

of yeast and allow them to stay longer in growth phase. In<br />

order to verify whether the amount of nutrients and their<br />

mode of feeding influenced the alcoholic fermentation by<br />

S. cerevisiae, experiments were conducted in batch fermentation<br />

with various amounts of nutrients and different<br />

feeding strategies.<br />

Compared with initial total supplementation, exponential<br />

feeding strategy improved the performance of the<br />

fermentation process and the ethanol tolerance of the<br />

yeast. In a recent study reported by Reddy and Reddy<br />

(2005), the nutrients and polyphenols rich horse gram<br />

flour improved the ethanol formation in very high gravity<br />

fermentation. The suitability of wheat bran extract as a<br />

medium for ethanol production from mango peel investigations<br />

successfully replaced the costly medium components<br />

and developed a novel wheat bran extract (WBE)<br />

medium which could provide a cheap source of amino<br />

acids and other nutrients (Shamala and Sreekantiah,<br />

1988). Reddy and Basappa (1996) also successfully<br />

replaced the nutrients with wheat bran extract in the<br />

direct fermentation of starch to ethanol by Endomycopsis<br />

fibuligera and Z. mobilis. However, supplementation with<br />

yeast extract and peptone was superior to that of wheat<br />

bran extract. This showed that wheat bran extract has<br />

limited amount of nutrients when compared with yeast<br />

extract or peptone. Further optimization studies on the<br />

supplementation of WBE are to be made to make the<br />

process economically viable. The initial fermentability of<br />

the unsupplemented peel extracts by S. cerevisiae was<br />

extremely poor because of insufficient growth nutrients in<br />

the peel medium. The fermentation of mango peel extract<br />

was stimulated by supplementation with low amounts of<br />

yeast extract and peptone. The wheat bran extract<br />

though stimulated not only the rate of fermentation and<br />

also the final concentration of ethanol, but it was not as<br />

good as the yeast extract and peptone. However, higher<br />

concentrations of WBE is needed to be supplemented to<br />

make the mango peel extract fermentation process more<br />

economical since the supplementation with yeast extract<br />

and peptone is obviously more expensive. Given the<br />

promise of the proposed WBE based medium for ethanol<br />

fermentation, it should be tested beyond the bench scale.<br />

Generally, the production concentration in commercial<br />

ethanol production plants is between 7.5 and 10% (w/v).<br />

Based on previous reports, the ethanol production<br />

concentration was 4.02% (w/v) in citrus peel waste, 3.5%<br />

(w/v) in grape fruit peel and 4.2% (w/v) in pineapple peel<br />

(Ban-koffi and Han, 1990; Nishio et al., 1980; Wilkins et<br />

al., 2007a, b).<br />

In this study, mango peel was proved as one of the<br />

novel and potential raw material for ethanol production.<br />

Ethanol production from mango peel requires supplementation<br />

of nutrients because of its low nutrient availability.<br />

Supplementation of yeast extract, peptone and<br />

optimization of fermentation conditions enhanced the<br />

fermentation rate and final ethanol concentration. WBE<br />

supplementation showed comparable improvement in all<br />

terms with the very expensive, yeast extract and peptone.<br />

Further optimization studies on peel hydrolysis using<br />

commercial enzymes and optimization of WBE supple-


mentation will make the process economically viable and<br />

it should be tested beyond the bench scale.<br />

ACKNOWLEDGMENTS<br />

We profusely thank Dr T.N Bhavanishankar, plant manager,<br />

Bacardi-Martine India Limited (Nanjangud, Karnataka<br />

State) for his support in the GC–FID analysis. Special<br />

thanks to Dr S. C. Basappa, former deputy director and<br />

scientist, Central Food Technological Research Institute<br />

(CFTRI), Mysore, for his encouragement and critical<br />

comments on the manuscript.<br />

REFERENCES<br />

Anonymous (2004). By-products and waste utilization (value addition of<br />

mango processing waste). Food Digest. 27: 14-17.<br />

Antony JC (1984). Malt beverages and malt brewing materials: gas<br />

chromatographic determination of ethanol in beer. J. Assoc. Anal.<br />

Chem. 67: 192-193.<br />

Ban-koffi L, Han YW (1990). Alcohol production from pineapple waste.<br />

World J. Microbiol. Biotechnol. 6: 281-284.<br />

Casey GP, Magnus CA (1984). High gravity brewing: effects of nutrition<br />

on yeast composition, fermentative ability and alcohol production.<br />

Appl. Environ. Microbiol. 48: 639-646.<br />

Classen PAM, Sijistsma L, Stams AJM, Deveries SS, Westhuls RA<br />

(1999). Utilization of the biomass for the supply of energy carries.<br />

Appl. Microbiol. Biotechnol. 52: 741-755.<br />

Filippov MP, Shkolenko GA, Kohn R (1978). Determination of the<br />

esterification degree of the pectin of different origin and composition<br />

by the method of infrared spectroscopy. Chem. Zvesti. 32: 218-222.<br />

Grohmann K, Baldwin EA, Buslig SB (1994). Production of ethanol from<br />

enzymatically hydrolyzed orange peel by yeast Saccharomyces<br />

cerevisiae. Appl. Biochem. Biotechnol. 45/46: 383-388.<br />

Grohmann K, Cameron GR, Buslig SB (1995). Fermentation of sugars<br />

in orange peel hydrolisates to ethanol by recombinant E. coli KO11.<br />

Appl. Biochem. Biotechnol. 51/52: 383-388.<br />

Grohmann K, Cameron GR, Buslig SB (1996). Fermentation of orange<br />

peel hydrolysates by ethanogenic E. coli: effects of nutrient<br />

supplements. Appl. Biochem. Biotechnol. 57/58: 383-388.<br />

Grohmann K, Manthey JA, Cameron RG, Buslig BS (1998).<br />

Fermentation of galacturonic acid and pectin-rich materials to ethanol<br />

by genetically modified strains of Erwinia. Biotechnol. Lett. 20: 195-<br />

200.<br />

Reddy et al. 4189<br />

Kirsop BH (1978). European Brewer’s Convention Monograph. V:<br />

Fermentation and Storage Symposium. Zoeterwoude, Elsevier,<br />

Amsterdam, Netherland.<br />

Linden T, Hahn-Hägerdal B (1989). Fermentation of lignocellulosic<br />

hydrolysates with yeast and xylose isomerase. Enzyme Microb.<br />

Technol. 11: 583-589.<br />

Madhukara K, Krishnanad N, Srilatha HR (1993). Ensilage of mango<br />

peel for methane generation. Process Biochem., 28: 119-123.<br />

Manikandan K, Sreenivasan V, Viruthagiri T (2008). Kinetics studies on<br />

ethanol production from banana peel waste using mutant strain S.<br />

cerevisiae. Ind. J. Biotechnol. 7: 83-88.<br />

Pandey A, Soccol CR, Nigam P, Soccol VT (2000). Biotechnological<br />

potential of agro-industrial residues. I: Sugarcane bagasse. Bioresour.<br />

Technol. 74: 69-80.<br />

Pandia B, Stephen K, Louise W (2004). Texture and distribution of<br />

pectic substances of mango as affected by infusion of pectin methyl<br />

esterase and calcium. J. Sci. Food Agric. 8: 1493-1499.<br />

Ranganna S (1986). Handbook of Analysis and Quality Control of Fruit<br />

and Vegetable Products. Tata McGraw-Hill publishing Company,<br />

New Delhi, India.<br />

Reddy LVA, Reddy OVS (2005). Improvement of ethanol production in<br />

very high gravity fermentation by horse gram (Dolichos biflorus) flour<br />

supplementation. Lett. Appl. Microbiol. 41: 440-444.<br />

Reddy OVS, Basappa SC (1996). Direct fermentation of starch to<br />

ethanol by Endomycopsis fibuligera and Zymomonas mobilis:<br />

synergism and limitations. Biotechnol. Lett. 18: 1315-1318.<br />

Shaffer PA, Somogyi M (1933). Copper-iodometric reagents for sugar<br />

determination. J. Biol. Chem. 100: 695-713.<br />

Shamala TR, Sreekantiah KR (1988). Use of wheat bran as a nutritive<br />

supplement for the production of ethanol by Zymomonas mobilis., J.<br />

Appl. Bacteriol. 65: 433-436.<br />

Wilkins MR, Widmer WW, Grohmann K (2007a). Simultaneous<br />

saccharification and fermentation of citrus peel waste by<br />

Saccharomyces cerevisiae to produce ethanol. Process Biochem. 42:<br />

1614-1619.<br />

Wilkins MR, Widmer WW, Grohmann K, Cameron RG (2007b).<br />

Hydrolysis of grapefruit peel waste with cellulase and pectinase<br />

enzymes. Bioresour. Technol. 98: 1596-1601.<br />

Wyman CE (1994). Ethanol from lignocellulosic biomass: technology,<br />

economics, and opportunities. Bioresour. Technol. 50: 3-15.<br />

Wyman CE (1996). Handbook on Ethanol: Production and Utilization.<br />

Taylor & Francis, Bristol, Paris, France.


African Journal of Biotechnology Vol. 10(20), pp. 4190-4196, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2298<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Secretory expression of Rhizopus oryzae α-amylase in<br />

Kluyveromyces lactis<br />

Song Li, Wei Shen, Xianzhong Chen, Guiyang Shi and Zhengxiang Wang*<br />

Research Center of Bioresource and Bioenergy, School of Biotechnology, Jiangnan University, 1800 Lihu Avenue, Wuxi<br />

214122, China.<br />

Accepted 17 March, 2011<br />

Kluyveromyces lactis is a non-conventional yeast species extensively used in the expression of<br />

heterologous genes. In this study, a genetically modified K. lactis with high-level expression of αamylase<br />

from Rhizopus oryzae was obtained, which could successfully hydrolyze and use starch for<br />

growth very well. Shake flask fermentation indicated that, the recombinant yeast was able to produce<br />

the α-amylase at considerable secretion levels using a variety of carbon sources. The highest level of<br />

amylase expression was 22.4 U/ml when cultivated at 30°C and pH 7.0 in the presence of galactose.<br />

Moreover, it was shown that the recombinant yeast, which could efficiently degrade starch, yielded a<br />

final biomass of 12.25 g/l with enzyme activity of 11 U/ml in the culture medium using 20 g soluble<br />

starch/l as the sole carbon source.<br />

Key words: Kluyveromyces lactis, α-amylase, secretion, starch, fermentation.<br />

INTRODUCTION<br />

Yeasts are eukaryotic micro-organisms that have been<br />

used for centuries in traditional fermented food (Romanos<br />

et al., 1992). They have recently become attractive host<br />

organisms for the production of foreign proteins because<br />

of developments in recombinant DNA technology (Romanos<br />

et al., 1992; Dominguez et al., 1998). Compared with the<br />

extensively used Escherichia coli expression system, the<br />

yeast expression system has important advantages in the<br />

expression of proteins from eukaryotic micro-organisms;<br />

these advantages stem from its effective posttranslational<br />

modification system and ability to produce<br />

foreign proteins in soluble and correctly folded form (van<br />

Ooyen et al., 2006).<br />

Kluyveromyces lactis is a Crabtree-negative, nonconventional<br />

yeast that is able to grow solely on lactose<br />

as the carbon source (Dominguez et al., 1998). For decades,<br />

K. lactis has been used in the production of lowlactose<br />

milk because of its lactase-producing ability,<br />

which is necessary for lactose degradation (Freitas et al.,<br />

2008). Its GRAS (generally regarded as safe) status, efficient<br />

secretion capacity and low catabolite repression<br />

*Corresponding author. E-mail: zxwang@jiangnan.edu.cn.<br />

Tel/Fax: +86-510-85918121.<br />

makes it an attractive alternative expression system to<br />

traditional baker’s yeast in the production of certain<br />

proteins (Dominguez et al., 1998; Schaffrath and Breunig,<br />

2000). As an expression host, K. lactis is best known for<br />

its use in the production of bovine chymosin on an<br />

industrial scale, widely recognised as a major biotechnological<br />

achievement (van Ooyen et al., 2006). The yeast<br />

was successfully used in the production of β-galactosidase<br />

in the food industry (Dagbagli and Goksungur,<br />

2008) and was able to achieve high-level expression of<br />

human serum albumin (Lodi et al., 2005) and human<br />

interleukin-1β (Fleer et al., 1991) in pharmaceutical<br />

research. In addition, a large variety of proteins from<br />

different sources such as bacteria, fungi, plants and<br />

mammals (van Ooyen et al., 2006), have been produced<br />

by K. lactis, including α-amylase from Bacillus<br />

amyloliquefaciens (Bartkeviciute and Sasnauskas, 2003),<br />

mouse (Tokunaga et al., 1997) and wheat (Russell et al.,<br />

1993).<br />

The aim of this study was to enhance the expression<br />

and secretion of the Rhizopus oryzae α-amylase using K.<br />

lactis. The amylase gene was integrated into the K. lactis<br />

genome and expressed under the control of the K. lactis<br />

lactase (LAC4; β-galactosidase) promoter and<br />

Saccharomyces cerevisiae α-mating factor pre-pro<br />

sequence. Different cultivation conditions, including tem-


perature, pH and carbon sources were investigated to<br />

study their effects on the production of the R. oryzae αamylase<br />

in K. lactis. Specifically, the starch fermentation<br />

characteristics of the recombinant K. lactis strain were<br />

also observed.<br />

MATERIALS AND METHODS<br />

Strains, plasmids and culture media<br />

E. coli JM109 was used for the propagation of plasmids. The host<br />

strain K. lactis and the expression plasmids pKLAC1 were<br />

purchased from New England BioLabs Company. Recombinant<br />

plasmid pMD-RoAmy containing the R. oryzae α-amylase gene<br />

coding sequence was constructed in previous work (Li et al., 2011)<br />

LB medium (5 g yeast extract, 10 g peptone, 10 g NaCl per litre)<br />

was used for cultivation of E. coli. YPD medium (10 g yeast extract,<br />

20 g peptone, 20 g dextrose per litre) and YCBA agar plate (10 g<br />

yeast carbon base, 15 g agar powder per litre, 5 mM acetamide)<br />

were prepared for the pre-cultivation of K. lactis and selection of<br />

yeast recombinants, respectively. YPDS agar plate (YPD medium<br />

supplemented with 5 g soluble starch, 15 g agar powder per litre)<br />

was used for halo assays of α-amylase activity. YPX medium (10 g<br />

yeast extract, 20 g peptone, 20 g carbon source per litre) was used<br />

for the expression of α-amylase.<br />

Construction and transformation of expression plasmid<br />

The mature RoAmy coding sequence (RA) was amplified by the<br />

polymerase chain reaction (PCR) from pMD-RoAmy with primers:<br />

5'-ATTGTCGACGTGCCTGTCATCAA-3' and 5'-GTAGCGGCCGCG<br />

ATAAGCTTGCACAAACGAAC-3'. The amplification yielded a copy<br />

of the gene flanked by SalI and NotI sites provided by the two<br />

primers (underlined), respectively. The PCR product was gelpurified,<br />

digested with the two indicated enzymes and inserted at<br />

the corresponding site of pKLAC1 vector; this procedure yielded a<br />

recombinant expression plasmid pKLRA, in which the α-amylase<br />

gene was under the control of the K. lactis lactase (LAC4; βgalactosidase)<br />

promoter and the S. cerevisiae α-mating factor prepro<br />

sequence.<br />

The secretion cassette pKLRA was linearized with SacII and<br />

introduced into K. lactis cells by electroporation transformation<br />

method (Delorme, 1989). The electroporated cells were spread on<br />

YCBA agar plates. After incubation, transformants appeared on the<br />

plates at 30°C for 3 to 4 days and were selected for further study.<br />

α-Amylase halo assay<br />

For halo assay, the transformed yeast cells were patched onto<br />

YPDS agar plates and incubated for 48 h at 30°C. The halo-forming<br />

ability of transformants was detected by staining with weak iodine<br />

solution (20 g KI and 2 g I2 per litre).<br />

Expression of α-amylase<br />

The selected K. lactis transformants with different halo-forming abilities<br />

were cultured in shake flasks to screen the RoAmy expression<br />

levels. The recombinant strains were inoculated into 10 ml YPD<br />

medium and grown in a shaking incubator with 200 rpm at 30°C<br />

overnight; 0.2 ml of the overnight culture was transferred into 50 ml<br />

fresh medium and cultivated to an OD600=6.0 to 10.0. Then, the precultures<br />

were inoculated into 50 ml YPX medium to a final optical<br />

Li et al. 4191<br />

density (600 nm) of 0.2. In all the shake flask cultivation processes,<br />

250 ml baffled flasks were used.<br />

Analytical techniques<br />

The α-amylase activity was determined as follows: 1 ml 1% (w/v)<br />

soluble starch was mixed with 0.25 ml citric acid–Na2HPO4 buffer<br />

(0.2 M, pH 5.0) and incubated at 55°C for 5 min, followed by<br />

addition of 0.1 ml enzyme solution. It was further incubated for 5<br />

min. The reducing sugar formed was determined according to the<br />

method described previously (Miller, 1959), using maltose as a<br />

standard. One unit of α-amylase activity was defined as the amount<br />

of enzyme that released 1 mg reducing sugar per minute under the<br />

mentioned conditions.<br />

The yeast growth was measured in terms of dry weights, which<br />

were determined by drying 3 ml samples to constant weight at<br />

65°C. The starch concentration was quantified according to the method<br />

described by Xiao et al. (2006).<br />

RESULTS<br />

Expression of α-amylase in K. lactis<br />

More than one hundred transformants appeared on YCBA<br />

agar plates. Eleven colonies were randomly selected and<br />

replicated to YCBA agar plates for further purification.<br />

Then, the purified clones were patched onto YPDS agar<br />

plates and grown at 30°C for 3 to 4 days. After staining<br />

with weak iodine solution, clear zones were formed<br />

around clones no. 1, 2, 5 and 11, as shown in Figure 1. It<br />

was seen that clones no. 1 and 11 shown larger zones on<br />

the plate assay, but the α-amylase activities observed in<br />

shake flask fermentation were almost the same (data not<br />

shown).<br />

Effects of culture conditions on α-amylase<br />

expression in K. lactis<br />

To investigate the effects of initial pH on α-amylase<br />

expression, this study tested the YPD media with initial<br />

pH values ranging from 4.0 to 8.0. The highest obtained<br />

level of amylase expression, calculated from the triplicate<br />

fermentations, ranged from 1.4 to 11.2 U/ml, as shown in<br />

Figure 2a. To study the effects of temperature on αamylase<br />

expression, the temperature of the shake flask<br />

incubator was set from 20 to 35°C and the initial pH value<br />

of the medium was adjusted to 7.0. Among the cultivation<br />

temperatures observed, the highest amylase expression<br />

level (11.8 U/ml) was achieved at 30°C (Figure 2b).<br />

α-Amylase expression with different carbon sources<br />

The carbon source for amylase expression in the shake<br />

flask culture was screened and the initial amount of<br />

different carbon source was kept at 20 g/l. Figure 3<br />

shows that, amylase was successfully secreted in all the


4192 Afr. J. Biotechnol.<br />

Figure 1. Test of the amylase activity of selected clones of the<br />

K. lactis transformats. The clones’ labelled no. 3, 4, 6 to 10<br />

and the colony labelled “C” of non-transformed control host K.<br />

lactis cells show no clearance zones indicating the absence of<br />

amylase activity.<br />

tested culture media, of which the galactose-containing<br />

culture provided the highest level of amylase secretion at<br />

22.4 U/ml- approximately two times higher than that<br />

obtained in other carbon source-containing cultures.<br />

However, the highest biomass (15.75 g/l) was achieved<br />

using glycerol as the carbon source. Interestingly, at the<br />

end of the shake flask fermentation, the starch- and<br />

maltose-containing cultures yielded similar biomass,<br />

which was slightly higher than that observed in the<br />

glucose-containing culture. Samples from the galactosecontaining<br />

culture media of recombinant K. lactis were<br />

analyzed by SDS-PAGE for the presence of the αamylase,<br />

as shown in Figure 4, both glycosylated and<br />

non-glycosylated α-amylases were secreted into the<br />

culture medium.<br />

Starch fermentation characteristics of the<br />

recombinant K. lactis strain<br />

The characterisation of the growth of the recombinant K.<br />

lactis strain and the K. lactis host strain as well as their<br />

starch hydrolysis and fermentation, were observed using<br />

soluble starch as the sole carbon source. Figure 5a<br />

shows that, the native K. lactis strain could not attain<br />

continuous growth in starch, whereas the recombinant<br />

strain, which has the α-amylase secretion cassette,<br />

displayed a high growth rate in starch. The effects of<br />

initial starch concentrations ranging from 10 to 40 g/l<br />

were examined to study the growth of recombinant yeast.<br />

Because of the α-amylase secreted by the recombinant<br />

yeast, the starch in the cultures was efficiently and com-<br />

Figure 2. (A) Effects of pH and (B) temperatures on αamylase<br />

production in YPD culture medium. Samples<br />

were harvested from 48 h fermentation cultures. All data<br />

are mean values of three independent experiments; error<br />

bars indicate standard deviation.<br />

pletely degraded during fermentation from 12 to 24 h<br />

(Figure 5b). The maximum cell density increased with<br />

rising initial starch concentrations from 10 to 30 g/l;<br />

although, the 40 g starch/l in the medium was completely<br />

degraded in the first 24 h of fermentation, the maximum<br />

cell density observed at 84 h was slightly lower than that<br />

obtained at 20 and 30 g starch/l concentrations. In<br />

addition, the maximum yeast growth rate during the first<br />

12 h was achieved with 10 g starch/l and the yeast exhibited<br />

better growth with 20 g starch/l during the 24 to 60 h<br />

cultivation time. Further details are given in Table 1.<br />

DISCUSSION<br />

It is difficult to accurately compare the expression levels<br />

of various α-amylases in K. lactis, because of variations<br />

in the starch origin and α-amylase activity definition, as<br />

well as in the details of the enzyme assays. However, the


Figure 4. SDS-PAGE analyses of α-amylase<br />

produced in galactose-containing culture medium by<br />

recombinant K. lactis. Proteins were concentrated 5fold<br />

by 10% (w/v) trichloroacetic acid precipitation,<br />

before loading (15 µl). Protein bands were stained<br />

with Coomassie brilliant blue R-250. Lane 1 to 5,<br />

samples from 0, 6, 12, 24 and 48 h fermentation<br />

cultures, respectively; lane M, molecular mass<br />

marker.<br />

highest yield of the R. oryzae α-amylase obtained in the<br />

galactose-containing culture medium by shake-flask<br />

fermentation was 22.4 U/ml (approximately 20 mg/l),<br />

Figure 3. Effects of carbon sources on α-amylase secretion and<br />

biomass production. Samples were harvested from 48 h fermentation<br />

cultures. All data are mean values of three independent experiments;<br />

error bars indicate standard deviation.<br />

Li et al. 4193<br />

which was much higher than the expression level of<br />

mouse α-amylase (0.527 U/ml) (Tokunaga et al., 1997) or<br />

Schwanniomyces occidentalis α-amylase (30 mU/ml)<br />

(Strasser et al., 1989) obtained in K. lactis. To the best of<br />

this study’s knowledge, among various α-amylases expressed<br />

in K. lactis, the expression level of the R. oryzae<br />

α-amylase obtained in this study is one of the highest<br />

reported? In the previous work of these authors, the R.<br />

oryzae α-amylase expression levels observed in E. coli<br />

and S. cerevisiae were only approximately 0.11 and 1.3<br />

U/ml, respectively. In addition, the α-amylase expression<br />

level obtained by recombinant Pichia pastoris was up to<br />

45 U/ml in shake-flask fermentation, however, the<br />

application of recombinant α-amylase in food industry<br />

could be limited due to the characteristics of the host<br />

stain (not a GRAS status strain) and slight residual<br />

methanol in the final fermentation broth. Thus, it was<br />

conclude that K. lactis could be more promising for the<br />

expression of the R. oryzae α-amylase at food status.<br />

Among physical parameters, cultivation temperature<br />

and pH of growth media are important for organism<br />

growth and enzyme secretion (Gupta et al., 2003). Similar<br />

to the temperatures used in many studies (Rocha et<br />

al., 1996; Mincheva et al., 2002), 28 to 30°C yielded the<br />

highest α-amylase activity and biomass. Attempts to<br />

express amylase at an initial pH of 4.0 resulted in an<br />

absence of enzyme activity and the amylase activity<br />

produced at pH 8.0 was only half of the highest amylase<br />

expression level at pH 7.0 (Figure 2). This result indicates<br />

that pH control is crucial for R. oryzae α-amylase<br />

expression in K. lactis.<br />

The expression and secretion of R. oryzae α-amylase


4194 Afr. J. Biotechnol.<br />

Figure 5. Time courses in the fermentation of starch using<br />

recombinant K. lactis and host strain. Biomass produced<br />

(A) and starch hydrolyzed (B) by recombinant K. lactis with<br />

initial starch concentrations of 10 g/l (●), 20 g/l (▲), 30 g/l<br />

(▼) and 40 g/l ( ) and host strain with 20 g starch/l (■). All<br />

data are mean values of three independent experiments;<br />

error bars indicate standard deviation.<br />

in K. lactis was under the control of the LAC4 promoter,<br />

which is one of the most frequently used promoters for<br />

high-level heterologous gene expression in K. lactis and<br />

induced by the presence of lactose or galactose in the<br />

growth medium, but not fully repressed in the absence of<br />

the inducer (van Ooyen et al., 2006). A number of carbon<br />

sources were tested for the growth and α-amylase<br />

expression of recombinant K. lactis. Galactose generated<br />

the highest α-amylase expression probably because the<br />

LAC4 promoter was induced by galactose present in the<br />

culture medium (Rubio-Texeira, 2006). By contrast, αamylase<br />

expressed in lactose-containing cultures were<br />

almost the same as that observed in other carbon source<br />

cultures, indicating that lactose failed to induce the LAC4<br />

promoter for the enhancement of α-amylase expression.<br />

From another point of view, the LAC4 promoter was not<br />

repressed by the presence of a variety of studied carbon<br />

sources. However, considering the price of galactose,<br />

other carbon sources, such as glucose, glycerol, lactose<br />

and starch, are more suitable for α-amylase production.<br />

Most of the wild-type yeast strains cannot directly utilise<br />

starches because of their inability to produce starchdecomposing<br />

enzymes (Jamai et al., 2007). Numerous<br />

studies have demonstrated that, both α-amylase and<br />

glucoamylase are required for efficient starch hydrolysis<br />

in industrial ethanol production using S. cerevisiae strains<br />

(Knox et al., 2003; Kosugi et al., 2009). In previous study,<br />

R. oryzae α-amylase was secreted through an S.<br />

cerevisiae strain. However, the recombinant strain in the<br />

starch-containing culture medium showed extremely low<br />

α-amylase activity (approximately 0.06 U/ml), a level insufficient<br />

for efficient starch degradation without exogenous<br />

glucoamylase. In this study, the host K. lactis strain<br />

used could not grow in the medium with starch as the<br />

sole carbon source, whereas the recombinant K. lactis<br />

strain obtained was able to hydrolyse soluble starch<br />

efficiently because of its ability to express α-amylase at<br />

high concentrations in the starch-containing culture (11.2<br />

U/ml), as shown in Figure 5 and Table 1.<br />

The maltose uptake system of S. cerevisiae has been<br />

extensively studied and is a highly specific strain-dependent.<br />

For example, Weusthuis et al. (1993) observed a<br />

linear decrease in cell yield with increasing amounts of<br />

maltose in the medium feed for S. cerevisiae CBS 8066<br />

strain, whereas Batistote et al. (2006) reported that, S.<br />

cerevisiae VIN7 wine strain yielded a higher final biomass<br />

in the presence of maltose rather than glucose under<br />

certain conditions. Similar results were found for both S.<br />

cerevisiae 70 and 254 strains, as described by Zastrow et<br />

al. (2000). These findings are similar with those observed<br />

in the recombinant K. lactis strain obtained in this study.<br />

Specifically, the recombinant K. lactis produced higher<br />

final cell density in the presence of soluble starch rather<br />

than glucose, probably because of its ability to produce<br />

R. oryzae α-amylase. Unlike bacterial α-amylase, fungal<br />

α-amylase can be used to produce high-maltose syrup<br />

(Doyle et al., 1989), in which the maltose concentration is<br />

up to 50% (w/w) and the glucose concentration is usually<br />

around 10% (w/w). In addition, considerable amounts of<br />

maltotriose, which also yielded higher final biomass than<br />

in the presence of glucose (Zastrow et al., 2000), can be<br />

released during starch hydrolysis (Doyle et al., 1989). In<br />

previous study, soluble starch hydrolysed with R. oryzae<br />

α-amylase yielded a final concentration of glucose and<br />

maltose at 12 and 67% (w/w), respectively and a large<br />

amount of maltotriose was still released at the initial<br />

hydrolysis stage of the gelatinised starch (data not<br />

shown). Overall, it can be conclude that the ability of R.<br />

oryzae α-amylase to produce high levels of maltose and<br />

maltotriose accounts for the higher cell density obtained<br />

by the recombinant K. lactis in the presence of soluble


starch.<br />

Conclusion<br />

Table 1. Soluble starch fermentation characteristics of recombinant K. lactis strain.<br />

Parameter<br />

Biomass (g l -1 h -1 ) a<br />

Starch (g l -1 h -1 ) b<br />

Starch concentration (g/l)<br />

Time (h) 10 20 30 40<br />

0-12 0.064 0.064 0.063 0.601<br />

12-24 0.289 0.343 0.261 0.262<br />

24-36 0.031 0.333 0.292 0.281<br />

36-84 0.146 0.271 0.563 0.261<br />

0-6 0.717 0.852 0.683 0.883<br />

6-12 - c 1.667 1.517 1.602<br />

12-15 - 4.001 2.933<br />

15-18 - 3.967<br />

18-21 -<br />

a Biomass production rate, gram of dry weight per litre per hour; b starch degradation rate,<br />

gram of soluble starch per litre per hour; c the calculation of starch degradation rate in its<br />

running out time is not accurate and the data are not shown. All data are mean values of<br />

three independent experiments.<br />

In conclusion, because of the high-level expression and<br />

secretion of R. oryzae α-amylase in the culture medium,<br />

the recombinant K. lactis was able to efficiently grow<br />

using soluble starch as the sole carbon source and<br />

attained a relatively high cell density probably because of<br />

the considerable amounts of maltose and maltotriose<br />

released by R. oryzae α-amylase. These findings indicate<br />

that, the production of heterologous proteins or other<br />

specific products from K. lactis using starchy materials as<br />

the sole carbon source may be achieved through the coexpression<br />

of the genes of interest and R. oryzae αamylase<br />

gene.<br />

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maltose and glucose fermentation by brewing and wine yeasts<br />

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FM, Garcia S, Herrero AB, Vicente AS, Cabello J, Prado M, Iglesias<br />

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Doyle EM, Kelly CT, Fogarty WM (1989). The high maltose-producing<br />

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(2008). Kluyveromyces lactis but not Pichia fermentans used as<br />

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Dairy. Sci. 91: 531-543.<br />

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Jamai L, Ettayebi K, Yamani JE, Ettayebi M (2007). Production of<br />

ethanol from starch by free and immobilized Candida tropicalis in the<br />

presence of α-amylase. Bioresour. Technol. 98: 2765-2770.<br />

Knox AM, du Preez JC, Kilian SG (2003). Starch fermentation<br />

characteristics of Saccharomyces cerevisiae strains transformed with<br />

amylase genes from Lipomyces kononenkoae and<br />

Saccharomycopsis fibuligera. Enzyme Microb. Technol. 34: 453-460.<br />

Kosugi A, Kondo A, Ueda M, Murata Y, Vaithanomsat P, Thanapase W,<br />

Arai T, Mori Y (2009). Production of ethanol from cassava pulp via<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4197-4206, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2139<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Volatile compounds of maari, a fermented product from<br />

baobab (Adansonia digitata L.) seeds<br />

Charles Parkouda 1 *, Brehima Diawara 1 , Samuel Lowor 2 , Charles Diako 3 , Firibu Kwesi Saalia 4 ,<br />

Nana T Annan 3 , Jan S Jensen 5 , Kwaku Tano-Debrah 4 and Mogens Jakobsen 6 .<br />

1 Département Technologie Alimentaire/IRSAT/CNRST 03 BP 7047 Ouagadougou 03, Burkina Faso.<br />

2 Cocoa Research Institute of Ghana, Physiology/Biochemistry Division P.O. Box 8, Akim-Tafo, Ghana.<br />

3 Council for Scientific and Industrial Research, Food Research Institute, P.O. Box M-20, Accra, Ghana.<br />

4 Department of Nutrition and Food Science, University of Ghana, Legon, Accra, Ghana.<br />

5 University of Copenhagen, Faculty of Life Science, Forest and Landscape, DK-2970, Hørsholm, Denmark.<br />

6 University of Copenhagen, Faculty of Life Science, Centre for Advance Food Studies, Department of Food Science,<br />

Rolighedsvej 30 DK 1958 Frederiksberg C, Denmark.<br />

Accepted 1 April, 2011<br />

The volatile compounds associated with baobab seeds fermentation for Maari production were<br />

extracted and analysed by Likens-Nickerson simultaneous steam distillation-extraction method and gas<br />

chromatography-mass spectrometry (GC-MS), respectively. Furthermore, the titratable acidity, tannin<br />

content and proximate composition were evaluated. A total of 96 compounds were identified with<br />

esters, acids, alcohols and ketones being quantitatively the major groups. Fermentation led to an<br />

increase in the concentration of total volatile compounds from 121.6 in unfermented cooked seeds to<br />

809.1 mg kg -1 in the fermented product. Drying resulted in a significant loss of up to 80.7% of the total<br />

volatiles.<br />

Key words: Volatile compounds, maari, baobab, fermentation.<br />

INTRODUCTION<br />

Several fermented food condiments are commonly found<br />

in several African and Asian countries (Parkouda et al.,<br />

2009). In these countries, they are extensively used due<br />

to their pleasant taste and particular odour as well as<br />

their important nutritional qualities (Azokpota et al., 2008;<br />

Ouoba et al., 2005; Owens et al., 1997). Volatile compounds<br />

are one of the most valuable traits contributing to<br />

their quality and sensorial attributes (Beaumont, 2002).<br />

Maari is one of these fermented food condiments<br />

obtained by processing and spontaneous fermentation of<br />

seeds from the baobab tree (Adansonia digitata L.) in<br />

Burkina Faso. The process is laborious, energy- and<br />

time-consuming and procedures are based on traditional<br />

knowledge and experience of each processor. Contrary<br />

to similar fermented condiments produced from African<br />

locust beans (Soumbala, afitin, iru, sonru and netetu), the<br />

*Corresponding author. E-mail: cparkouda@yahoo.fr.<br />

baobab cooked seeds were not dehulled before the<br />

fermentation; this can lead to a difference in the chemical<br />

content and the profile of volatile compounds. Maari is<br />

especially used as flavouring agent for sauces, soups<br />

and other dishes in some African countries (Chadare et<br />

al., 2008; Parkouda et al., 2010). Traditional maari is<br />

characterized by a specific strong odour which is the<br />

main criterion used by consumers to appreciate the<br />

quality of the condiment. Similar products like afitin,<br />

chungkuk-jang, iru, natto, sonru, soumbala and thua-nao<br />

have been extensively studied and a diversity of volatile<br />

compounds reported (Azokpota et al., 2008;<br />

Leejeerajumnean et al., 2001; Ouoba et al., 2005;<br />

Tanaka et al., 1998). The flavour of these condiments<br />

has mainly been attributed to various volatile compounds<br />

produced through the metabolic activities of microorganisms<br />

during fermentation or the processing conditions<br />

(Azokpota et al., 2008; Leejeerajumnean et al.,<br />

2001; Ouoba et al., 2005). Differences in the traditional<br />

processes for fermented condiments occur among ethnic


4198 Afr. J. Biotechnol.<br />

tribes and these differences presumably influence the<br />

quality of the final products. The identification of volatile<br />

compounds is one of the steps which could give information<br />

for a future selection of starter culture to be used<br />

in controlled fermentation (Azokpota et al., 2010). In<br />

afitin, iru and sonru, compounds belonging to pyrazines,<br />

aldehydes, ketones, esters, alcohols, acids, alkanes,<br />

alkenes, benzenes, phenols, sulphurs and furans groups<br />

were identified (Azokpota et al., 2008). In addition to<br />

these compounds, Ouoba et al. (2005) found amines and<br />

pyridines groups in soumbala. However, volatile compounds<br />

that characterize maari have not yet been<br />

reported. The aim of the present study was to investigate<br />

the volatile compounds associated with spontaneous<br />

fermentation of baobab seeds for maari production using<br />

Likens-Nickerson simultaneous distillation-extraction<br />

method and gas chromatography mass spectrometry<br />

(GC-MS).<br />

MATERIALS AND METHODS<br />

Maari processing and sampling<br />

Maari samples were obtained by spontaneous fermentation of<br />

baobab seeds by three producers (V, C and B) from Pousghuin (a<br />

village in Zorgho, Burkina Faso) according to their own procedure.<br />

Briefly, maari production was done as follows: The baobab seeds<br />

were cleaned and boiled for about 36 h. After the 24 h of boiling, an<br />

ash lye solution was added as softening agent. After the boiling<br />

period, the seeds were drained and transferred into a basket and<br />

left to ferment spontaneously (first fermentation) for 72 h at room<br />

temperature (30 to 35°C). The fermenting mash was pounded and<br />

moulded with further addition of the alkaline ash lye solution. It was<br />

left to undergo a second spontaneous fermentation for about 24 h<br />

at room temperature before drying, including an initial steam<br />

cooking step. The final product obtained was characterized by dark<br />

brownish colour, stickiness and strong smell. Maari is sometime<br />

slightly roasted to give a specific trait to the product. For each of the<br />

three producers, duplicate unfermented boiled seeds, fermenting<br />

mash just before steam cooking and the final dried maari were<br />

collected from the producers and stored at -20°C before analysis.<br />

Additional commercial dried maari ready for consumption was also<br />

collected at Toulfé (a village in Burkina Faso) for comparison. The<br />

analyses were performed in triplicate.<br />

Proximate analysis<br />

Moisture, protein, lipid and ash analyses were determined according<br />

to AOAC official methods (AOAC, 2005). The tannins content<br />

of the samples were estimated by the vanillin-HCl colorimetric<br />

method as described by Addy et al. (1995). The tannins were<br />

extracted with methanol (Merck, Darmstadt, Germany) and made to<br />

react with the vanillin reagent (Merck, Darmstadt, Germany), to<br />

produce a colour reaction, which was measured spectrophotometrically<br />

at 500 nm. The calibration curve was established with<br />

(+)-catechin (Merck, Darmstadt, Germany). For titratable acidity<br />

(TA), 5 g of sample was mixed with 50 ml of distilled water and<br />

mixed in a stomacher (Stomacher 400 Lab Blender, London,<br />

England) at normal speed for 4 min. After filtration through a<br />

Whatman paper filter, the TA was evaluated by titrating the filtrates<br />

with 0.1 N sodium hydroxide (Merck, Darmstadt, Germany) using<br />

phenolphthalein as the indicator (Jideani and Okeke, 1991).<br />

Extraction and identification of the volatile compounds<br />

Extraction of volatile compounds<br />

The simultaneous distillation and extraction method described by<br />

Nickerson and Likens (1966) was used for the investigation of the<br />

volatile compounds of the different types of maari. The volatile<br />

compounds of the samples were extracted using a microscale<br />

steam distillation low density solvent extraction device (micro-SDE;<br />

Chrompack, Middelburg, the Netherlands) as described by Annan<br />

et al. (2003) and modified as follows: a known quantity of pounded<br />

samples (according to their moisture content) was mixed in 400 ml<br />

distilled water to obtain 2.5% slurries (on dry weight basis) of<br />

samples (w/v). A 1 ml internal standard solution (2-methyl-1propanol)<br />

was added to the sample slurry in a 1000 ml Erlenmeyer<br />

flask. About 6 ml of a mixture of pentane and diethyl ether (1:1) was<br />

placed in a 9 ml pear-shaped solvent flask. Both flasks were<br />

connected to the distillation apparatus and the solutions were<br />

brought to boil. Extraction of volatile compounds was carried out for<br />

30 min, from the beginning of condensation of vapours on the walls<br />

of the condenser. The organic solvent phase was collected and<br />

stored at -20°C to freeze out any water present. The solvent extract<br />

was poured off, dried over 2 g of anhydrous Na2SO4 and concentrated<br />

to 100 mg by gently blowing N2 gas over the surface. The<br />

concentrated extract was analyzed for volatile compounds using<br />

gas chromatography and mass spectrometry (GC-MS). Extractions<br />

were performed in triplicate.<br />

Separation and identification of the volatile compounds by GC-<br />

MS<br />

Separation and identification of volatile compounds in the<br />

concentrated extract was performed on a Varian CP 3900 GC/MS<br />

equipped with Varian CP-8400 Autosampler (GC-MS; Varian, NA,<br />

USA). Two microlitres of extract were injected (split ratio, 1:20) into<br />

Varian factor four capillary column (VF-5ms) (30 m x 0.25 µm x<br />

0.39 mm film thickness) using the temperature program: 10 min at<br />

40°C, raised at 6°C min -1 to 240°C and then, maintained for 30 min<br />

at 240°C. The carrier gas was helium with a constant flow rate of 1<br />

ml min -1 .<br />

The MS detector conditions were as follows; transfer line<br />

temperature, 250°C; manifold temperature, 80°C; ion trap<br />

temperature, 20°C; ionisation mode, EI auto; mass range, 25 to 550<br />

m/z; multiplier delay, 1.77 min.<br />

Identification of volatile compounds was determined in the total<br />

ion mode scanning a mass to charge ratio (m/z) range between 25<br />

and 550. Further identification was obtained by probability-based<br />

matching with mass spectra in the NIST 05 mass spectral library<br />

(Varian). Only compounds showing high quality index (degree of<br />

agreement between mass spectrum of sample and mass spectrum<br />

in database ≥ 90) were retained. Concentrations of volatile compounds<br />

were estimated by comparing the relative peak areas of the<br />

compounds with that of the 2-methyl-1-propanol internal standard<br />

and reported in mg kg -1 based on the concentration of the internal<br />

standard.<br />

Statistical analysis<br />

Differences between mean values were determined by analysis of<br />

variance and Student-Newman-Keuls test using SAS statistical<br />

software package (SAS, release, 8.1, Cary, N.C., USA).


RESULTS<br />

As seen from Table 1, during fermentation, protein content<br />

decreased from 156 ± 4.1 g kg -1 to values ranging<br />

from 147 ± 0.7 to 134 ± 0.5 g kg -1 dry weight basis, while<br />

lipid content increased from 122 ± 5.3 g kg -1 to values<br />

ranging from 151 ± 3.8 to 181 ± 1.5 g kg -1 . Ash content<br />

increased from 45 ± 0.4 up to 88 ± 3.6 g kg -1 . The<br />

titratable acidity of unfermented baobab seeds had a<br />

value of 0.17% OAE and increased to 1.87% in the<br />

fermented product. The tannins content decreased from<br />

0.29 mg g -1 CE to values between 0.25 and 0.09 mg g- 1<br />

after fermentation. Changes resulting from the<br />

fermentation were statistically significant (P < 0.05).<br />

The results in Table 2 show that, a variety of volatile<br />

compounds characterized the studied samples and a<br />

total of 96 volatile compounds were found. They belonged<br />

to 10 groups of compounds including acids (6),<br />

alcohols (13), aldehydes (6), alkanes (2), alkenes (2),<br />

esters (23), ketones (22), pyrazines (7), sulphur compounds<br />

(4) and others (11). Esters, ketones, alcohols<br />

groups constituted the groups with the largest number of<br />

volatile compounds.<br />

No volatile compounds belonging to the aldehydes,<br />

alkenes and pyrazines group were found in the unfermented<br />

cooked seeds (UCS). Fermentation led to an<br />

increase in the concentration of total volatile compounds<br />

from 121.6 mg kg -1 in an unfermented cooked seeds<br />

(UCS) up to 809.1 mg kg -1 in the fermented product<br />

(ZV1). In the fermented samples, the total volatile compounds<br />

were 809.1, 582.9 and 636.8 mg kg -1 ,<br />

respectively, for ZV1, ZC1 and ZB1; after the drying<br />

process, they were 291.3, 204.03 and 123 mg kg -1 for<br />

ZV1, ZC1 and ZB1, respectively. Drying process resulted<br />

in an important loss up to 80.7% of the total volatiles<br />

including principally esters, alcohols and acids groups.<br />

The amount of the volatile compounds in the dried commercials<br />

maari sample (DTA) was 352.9 mg kg -1 .<br />

Qualitatively, only few volatile compounds including 2nonadecanone,<br />

γ-dodecalactone, 2-decanone, 3-ethyl-2pentanone,<br />

14-methyl pentadecanoate, di-tert-Butyl<br />

dicarbonate, ethyl acetate, Z,Z,Z-4,6,9-nonadecatriene,<br />

nonadecane, benzeneacetaldehyde and 2,4-dimethyl-3pentanol<br />

were common in all dried fermented samples<br />

from the three producers, showing a specificity of each<br />

sample. Table 3 shows that, the relative amounts of the<br />

compound groups varied widely among samples and<br />

ranged from 0.0 to 65.4%. The major compounds group<br />

found in unfermented cooked seeds was sulphur compounds<br />

(26% of its total amount of volatiles). No<br />

aldehydes, alkynes, furans, phenols and pyrazines compounds<br />

were found in the unfermented cooked seeds. In<br />

the fermented products, the major compounds found<br />

generally were alcohols, aldehydes, alkanes, esters and<br />

ketones groups. The sample ZB1 showed the highest<br />

relative amount of esters (65.4%), ZV1 for ketones<br />

(37.3%) and ZC1 for alcohols (26%), which were the<br />

Parkouda et al. 4199<br />

common components groups among all the samples. The<br />

commercial samples DTA stands out significantly as the<br />

sample richest in the content in pyrazines group (20%).<br />

DISCUSSION<br />

Production of maari resulted in a decrease of carbohydrates.<br />

Decrease in carbohydrates has been reported<br />

in previous studies on similar products like bikalga and<br />

daddawa (Parkouda et al., 2008; Ibrahim and Antai,<br />

1986). The decrease is likely to be explained by cooking<br />

and loss of carbohydrate in the cooking water and by the<br />

fermentation where carbohydrates are metabolised by<br />

the microorganisms responsible for fermentation<br />

(Parkouda et al., 2008). The formation of some volatile<br />

aroma compounds belonging to ketones and aldehydes<br />

groups which are generally formed via Maillard reactions<br />

between saccharides and peptides may also play a role<br />

(Ledauphin et al., 2003). The increase of the titratable<br />

acidity observed is likely due to the accumulation of acid<br />

from the hydrolytic activities of the amylolytic enzymes<br />

(Schaffner and Beuchat, 1986) as well as the role of<br />

microbial metabolism such as lactic acid bacteria and<br />

Bacillus spp. during fermentation. The observed decrease<br />

in tannins during fermentation is in line with previous<br />

studies on baobab seeds (Addy et al., 1995; Nnam and<br />

Obiakor, 2003). Hydrolysis of the polyphenolic compounds<br />

to simpler substances by the enzyme polyphenol<br />

oxidase or the breakdown of the tannin complexes for<br />

example, tannin-protein, tannic acid-starch and tanniniron<br />

complexes to release free nutrients could explain this<br />

decrease (Obizoba and Atti, 1991). Chemical content,<br />

including titratable acidity and tannins is expected to<br />

contribute to the sensorial quality and volatile compounds<br />

profiles of the different samples. For instance, free fatty<br />

acids are known to contribute positively to the production<br />

of characteristic flavours in food but high levels of fatty<br />

acids may easily cause rancidity (Nawar, 1985).<br />

In maari, as other fermented condiments, volatile aroma<br />

compounds are important for quality and sensorial<br />

attributes. A number of volatile compounds are present in<br />

the unfermented baobab cooked seeds; others are<br />

produced during fermentation. The volatile compounds<br />

found in the unfermented cooked seeds can be explained<br />

by a complex sequence of chemical reactions, for example,<br />

strecker degradation, taking place as a function of<br />

moisture, cooking temperature and duration (Rodríguez-<br />

Bernaldo De Quirós et al., 2000). Esters group found in<br />

the unfermented cooked seeds were also reported<br />

previously in unfermented cooked Africa locust bean<br />

(Azokpota et al., 2008; Ouoba et al., 2005). In contrast,<br />

no ester was reported in unfermented cooked Africa<br />

locust bean during controlled production (Azokpota et al.,<br />

2010). The latter result can be explained by the severe<br />

heat treatments applied to the locust beans, leading to<br />

complete loss of esters due to thermal degradation


4200 Afr. J. Biotechnol.<br />

Table 1. Chemical composition † of Unfermented and Fermented baobab seeds*.<br />

Sample<br />

Compound<br />

Moisture (g kg -1 ) Protein (g kg -1 ) Lipid (g kg -1 ) Ash (g kg -1 ) Carbohydrate (g kg -1 ) Titratable acidity (% OAE) Tannin (mg g -1 CE)<br />

Seeds 59 ± 0.5 d 156 ± 4.1 a 122 ± 5.3 c 45 ± 0.4 d 619 0.17 ± 0.03 d 0.29 ± 0.09 a<br />

ZB2 134 ± 0.5 a 147 ± 0.7 b 181 ± 1.5 a 73 ± 3.1 b 465 1.47 ± 0.07 b 0.10 ± 0.06 b<br />

ZC2 103 ± 0.6 c 142 ± 4.1 c 177 ± 3 a 68 ± 1.3 c 511 1.87 ± 0.08 a 0.25 ± 0.08 a<br />

ZV2 131 ± 0.2 b 134 ± 0.5 d 151 ± 3.8 b 88 ± 3.6 a 491 0.77 ± 0.01 c 0.09 ± 0.01 b<br />

Results are expressed on dry weight basis. *Data are expressed as mean ± standard deviation (n = 3). Means values in a column with the same letter are not significantly different at 95% confidence.<br />

ZC2, ZV2 and ZB2, Dried maari samples ready for consumption collected respectively from producer C, V and B; CE, catechin equivalents; OAE, oleic acid equivalent.<br />

Table 2. Volatile compounds of cooked unfermented baobab seeds (UCS) and various samples of maari.<br />

RT<br />

Mean concentration (mg kg -1 Acid (6)<br />

Volatile compound UCS<br />

of product dry weight basis)<br />

ZV 1 ZV2 ZC1 ZC 2 ZB 1 ZB 2 DTA<br />

12.14 2,2-dimethyl propanoic acid 1.6 b - - - - 7.5 a - -<br />

14.67 2-methyl-Propanoic acid - - - - 13 a 0.7 b - -<br />

19.99 2-(aminooxy) pentanoic acid 1.3 b - - - - 4 a - -<br />

22.7 Benzoic acid - - - - - 1.0 a 0.7 a -<br />

38.78 Palmitic acid 2.9 f - 8.1 d 30.6 a 5.3 e 18.5 b - 14.7 c<br />

41.58 Oleic acid - 44.3 a 2.7 e 6.5 d - 14.4 b 0.9 f 8.7 c<br />

Total acids 5.83 44.34 10.78 37 18.35 46.18 1.6 23.39<br />

Alcohol (13)<br />

13.88 1-isopropoxy-2-methyl-2-Propanol 1 d 5.5 a - 4.4 b - 2.5 c - -<br />

14.91 3,3-Dimethyl-2-pentanol 0.2 b - - - - 6.8 a 6.4 a -<br />

18 2-methyl-3-hexanol 0.8 d 9.2 a 4.5 b - 1.5 c - - 1.1 c,d<br />

22.2 2,4-dimethyl-3-pentanol 3.6 f 86 a 19 c 50.3 b 14.3 d 4 f 4.3 f 11.3 e<br />

22.22 2,4,4-trimethyl-1-pentanol 0.5 d 75 a 11.5 c - 19.7 b - - -<br />

22.37 1,5-hexadien-3-ol 12 c - - 61.2 a - 48.1 b 13.7 c -<br />

22.43 5-methyl-4-octanol - 12.5 a - 3.9 b - - - -<br />

23.53 2-dodecanol 0.2 b - - - - 0.6 a - -<br />

25.07 2-pentadecyn-1-ol - - - 31.6 a 1.1 b - - -<br />

26.42 2,5-dimethyl-1,5-hexadiene-3,4-diol - - - - - 9.3 a 3.5 b -<br />

26.43 2-(hydroxymethyl)-2-methyl-1,3-propanediol 1.8 a - - - - 1.7 a - -<br />

30.93 1-hexadecanol - - - - - 1.2 a 1.0 b -


Table 2 cont.<br />

Parkouda et al. 4201<br />

45.11 2-hexyl-1-octanol 1.0 c 7.2 a - - - 1.5 b 0.8 c -<br />

Total alcohols 21.04 195.19 34.88 151.28 36.53 75.67 29.62 12.45<br />

Aldehyde (6)<br />

6.69 3-Bromopropionaldehyde Ethylene acetal - - - - - 30.6 b 15.6 c 44.1 a<br />

13.26 Heptanal - - - 4.8 a - - - 1.3 b<br />

17.58 Octanal - - 1.6 d 21.3 a - 3.7 c 0.2 e 4.3 b<br />

19.01 Benzeneacetaldehyde - - 22.6 a - 8.3 c 2.8 d 1.8 e 9.7 b<br />

26.41 (E,E)-2,4-nonadienal - - 2.9 b 56.5 a 3.6 b - - -<br />

26.42 2,4-Decadienal - - - 15.4 a - 1.2 c - 2.9 b<br />

Total aldehydes 0 0 27.1 97.95 11.86 38.3 17.61 62.35<br />

Alkane (2)<br />

45.52 Nonadecane - - 1.1 c 16.1 a 1.4 b 1 c,d 1 d -<br />

47.68 Tetratetracontane 0.9 d - - 8.3 a 0.8 e 1.7 b 0.6 f 1.3 c<br />

Total alkanes 0.9 0 1.11 24.35 2.22 2.69 1.51 1.3<br />

Alkenes(2)<br />

20.85 Z-1,9-hexadecadiene - - - 5.3 a 4.2 b - 1.8 c 5.1 a<br />

33.47 Z,Z,Z-4,6,9-Nonadecatriene - - 9.7 a 4.8 b 0.9 d - 1.9 c 1.5 c,d<br />

Total alkenes 0 0 9.7 10.08 5.06 0 3.7 6.55<br />

Ester (23)<br />

7.7 Methoxyacetic acid, pentyl ester 1.2 b - - - - - - 5.2 a<br />

13.96 Isobutyl isobutyrate 2.1 c 10.3 a - 9.4 b 2.4 9.2 a,b 2.6 c 2.1 c<br />

14.29 2-butanol, 2-nitrosoacetate 1.3 a - - - 0.8 b - - -<br />

14.74 Ethyl acetate 2.1 c - 2.6 c 10.3 a 3.5 b 3.4 b 3.4 b 2.4 c<br />

18.79 Vinyl butyrate 5.9 b - - 11.8 a 2.2 d 2.7 c 2.3 c 2.1 c,d<br />

24.87 2-phenylethyl acetate - - 1.1 c 15.2 a 1.3 b - - -<br />

24.98 di-tert-butyl dicarbonate 5 c 37.8 a 5 c 28 b 1.5 d 5.4 c 1 e 1.1 d,e<br />

38.11 14-methyl pentadecanoate - - 4.7 c 14.3 b 17.1 a - 2.2 d -<br />

38.12 Methyl hexadecanoate 0.3 d 4.7 c - - - 12 b - 13.3 a<br />

38.89 L-(+)-ascorbic acid 2,6-dihexadecanoate - 116.9 a - - - 64.1 b - -<br />

39.22 Ethyl hexadecanoate 0.9 f 26 b 14.6 d 9.7 d 7.9 e 109.5 a - 15.3 c<br />

40.36 Methyl 7,10-octadecadienoate - - - - - 4 a - 1.3 b<br />

40.72 Propyl hexadecanoate - - 1.5 b - - 7.8 a - -<br />

40.78 Methyl 9,12-octadecadienoate - 7 c 1.9 f 5.2 d 2.5 e 18.1 a - 7.7 b<br />

40.9 Methyl (Z)-9-octadecenoate 10.6 b 3 f 6.9 d 3.6 e 20.5 a 8.3 c


4202 Afr. J. Biotechnol.<br />

Table 2. cont.<br />

41.36 9,12-octadecadienoate - - - - - 52.5 - -<br />

41.83 Ethyl (Z,Z) 9,12-octadecadienoate - - 5.3 c - 2.3 d 33.1 a - 6.4 b<br />

41.84 Ethyl linoleate 0.5 b 17.8 a - - - 0.2 c - -<br />

41.87 Ethyl (E)-9-octadecenoate - - - 6.7 b - - - 11.1 a<br />

41.9 Ethyl oleate 0.6 f 8 c 8.2 b 4.6 d 3 e 68.4 a - 8 b,c<br />

42.21 Butyl hexadecanoate - 7.8 a - - - 0.7 b - -<br />

44.06 Isopropyl linoleate - 8.9 a - - - 2.5 b - -<br />

44.39 Decyl oleate - 11.8 a - - - 2.3 b - -<br />

Total esters 20.47 267.46 47.79 121.98 48.13 416.31 11.51 84.19<br />

Ketone (22)<br />

8.23 3,4-dimethyl-2-pentanone 9.1 b - - - - 10.5 b 10.3 b 15.8 a<br />

8.24 3-methyl-2,4-pentanedione - - 16.9 a - 15.3 a - - -<br />

8.96 3-ethyl-2-pentanone 3 d - 4.7 b 18 a 4.1 c 1 e 0.9 e 4.2 b,c<br />

9.77 4-methyl-2-hexanone 0.4 e - 4.2 b 26.1 a 3.5 c 2 d - 3.5 c<br />

14.31 3-methyl-2-hexanone 2.2 b 5.3 a - - 1.2 c 2.1 b - -<br />

14.81 3-hydroxy-2-butanone 2.8 a - - - - - 2.6 b 3 a<br />

15.94 2-chloro-3-methyl-1-phenyl-1-butanone - 26.7 a - - 7.8 b - - -<br />

15.95 2-chloro-acetophenone - - 17.9 b - 0.6 c - 16.5 b 21.1 a<br />

16.01 2,2-dihydroxy-1-phenyl-ethanone - - - - 1.7 b - - 7.4 a<br />

18.78 3-Hydroxybutanone - 74.1 a - - - - - 12.3 b<br />

20.48 2,5-dimethyl-4-hydroxy-3-hexanone 1.3 d 19 a - 8.2 b 4 c 1.2 d - -<br />

23.24 2-decanone - 27.9 a 5.5 c 14.6 b 1.9 e 2.6 e 1 f 4.1 d<br />

25.46 4,4,6-trimethyl-2-Cyclohexen-1-one - - - - 0.8 b - - 3.4 a<br />

25.75 2-undecanone - - 3.3 a - - - 2.7 b -<br />

26.88 3,5-dimethyl-2-octanone - 78.9 a 16.5 b 9.4 c 1 e 1.5 d - -<br />

26.89 3-methyl-2-heptanone - - - - 2.4 a - 0.9 b -<br />

28.05 2-dodecanone - 16.9 a - 2.6 b - 0.6 c - -<br />

29.12 1-cyclododecyl-ethanone - 14.9 a - - - 0.4 c 1 b -<br />

29.57 2,5-cyclohexadiene-1,4-dione 1.3 e 21.8 a 2.1 d 11.5 b - 7.3 c 0.9 f -<br />

30.21 2-tridecanone - - 6.7 a - - 1.7 b 1.4 b -<br />

33.91 Gamma. dodecalactone - 16.7 a 8.3 b - 1.6 c 0.8 d 0.6 d -<br />

34.16 2-nonadecanone - - 5.6 b 11.1 a 1.2 d 1 d 0.9 d 4.1 c<br />

Total ketones 20.12 302.1 91.55 101.49 46.91 32.65 39.67 78.91<br />

Pyrazine (7)<br />

17.65 Trimethyl-pyrazine - - - - - - - 2.4


Table 2 cont.<br />

Parkouda et al. 4203<br />

19.38 1-(2-tetrahydrofurylmethyl) pyrazine - - - - - 1.7 - -<br />

20.32 Tetramethyl-pyrazine - - - - - - 56.9<br />

21.79 2-isobutyl-3-methylpyrazine - - - - - 0.4 - -<br />

22.32 2,3,5-trimethyl-6-ethylpyrazine - - - - - - - 9.9<br />

25.36 2-(2-methylpropyl)-3,5,6-trimethylpyrazine - - - - - - - 1.4<br />

27.59 2,6-Bis(2-methylpropyl)pyrazine - - - - - 2.2 a 2 a -<br />

Total pyrazines 0 0 0 0 0 4.27 1.98 70.61<br />

Sulphur compounds (4)<br />

2.66 Thioacetic acid 29.3 b 52.3 a - - - - -<br />

4.52 Disulfide, dimethyl - - - - 3.6 b 4.1 a - -<br />

12.93 Diacetyl sulphide 0.8 b - - - - 4.3 a 0.5 c -<br />

16.08 Dimethyl trisulfide 1.5 d - - 7.4 b 7.8 a 3.1 c 3.9 c 1.7 d<br />

Others (11)<br />

Total sulphur compounds 31.63 0 52.28 7.44 11.48 11.56 4.44 1.71<br />

4.02 Tetrahydro-thiazole 20.3 a - - - - - 9.4 b -<br />

11.79 d-Threo-O-ethylthreonine 1.1 b - - 5.5 a - - 0.8 b 1.6 b<br />

16.92 Phenol - - 7.6 b - 9.3 a - - -<br />

17 2-pentyl-furan - - - 4.5 a - 1.2 b - -<br />

17.13 O-(3-methylbutyl)-hydroxylamine - - - - - 1.2 a - 1.4 a<br />

18.19 1-undecyne - - 5.5 b 21.3 a 5.1 b 0.1 c - -<br />

25.91 Indole - - 1.8 b - 9.1 a - - 1.5 c<br />

26.25 2-methoxy-4-vinylphenol - - - - - 1.2 a - 1.5 a<br />

35.73 Benzamide - - 1.2 b - - 1.9 a 1.2 a,b 1.6 a,b<br />

35.93 O-decyl-hydroxylamine 0.2 b - - - - - - 1.5 a<br />

37.88<br />

7,9-di-tert-butyl-1-oxaspiro(4,5)deca-6,9-<br />

Diene-2,8-dione<br />

- - - - - 3.6 a - 2.3 a<br />

Total others 21.64 0 16.14 31.32 23.49 9.15 11.35 11.41<br />

Total all compounds (96) 121.63 809.09 291.33 582.89 204.03 636.78 122.99 352.87<br />

Only compounds showing high quality index were retained. Values are means of triplicate determinations. Means with the same letters in the same compound in a row are not significantly different (P <<br />

0.05). –Compound not detected. UCS, Unfermented cooked beans; ZV1 and ZV2, maari samples from the producer V, collected respectively at the end of the fermentation (before the drying process)<br />

and after drying process; ZC1 and ZC2, maari samples from the producer C, collected respectively at the end of the fermentation (before the drying process) and after drying process; ZB1 and ZB2,<br />

maari samples from the producer B, collected respectively at the end of the fermentation (before the drying process) and after drying process; DTA, commercial sample collected at Toulfé in Burkina<br />

Faso; RT, retention time.


4204 Afr. J. Biotechnol.<br />

Table 3. Relative amounts of volatile compound groups identified in baobab unfermented cooked seeds and maari samples.<br />

Aroma compound<br />

group<br />

Relative amount of the compound groups (%) a<br />

UCS b ZV1 ZV2 ZC1 ZC2 ZB1 ZB2 DTA<br />

Acids 4.8 5.5 3.7 6.3 9.0 7.3 1.3 6.6<br />

Alcohols 17.3 24.1 12.0 26.0 17.9 11.9 24.1 3.5<br />

Aldehydes 0.0 0.0 9.3 16.8 5.8 6.0 14.3 17.7<br />

Alkanes 0.7 0.0 0.4 4.2 1.1 0.4 1.2 0.4<br />

Alkenes 0.0 0.0 3.3 1.7 2.5 0.0 3.0 1.9<br />

Esters 16.8 33.1 16.4 20.9 23.6 65.4 9.4 23.9<br />

Ketones 16.5 37.3 31.4 17.4 23.0 5.1 32.3 22.4<br />

Pyrazines 0.0 0.0 0.0 0.0 0.0 0.7 1.6 20.0<br />

Sulfur Compounds 26.0 0.0 17.9 1.3 5.6 1.8 3.6 0.5<br />

Others 17.8 0.0 5.5 5.4 11.5 1.4 9.2 3.2<br />

a % Concentration of volatile compounds relative to the total concentration of volatile compounds identified; b unfermented cooked<br />

baobab seeds– group not detected; ZV1 and ZV2, maari samples from the producer V, collected respectively at the end of the<br />

fermentation (before the drying process) and after drying process; ZC1 and ZC2, maari samples from the producer C, collected<br />

respectively at the end of the fermentation (before the drying process) and after drying process; ZB1 and ZB2, maari samples from<br />

the producer B, collected respectively at the end of the fermentation (before the drying process) and after drying process; DTA,<br />

commercial sample collected at Toulfé in Burkina Faso.<br />

(Rodríguez-Bernaldo De Quirós et al., 2000).<br />

This study showed that, the fermentation of the baobab<br />

seeds for maari production led to an increase of volatile<br />

compounds. Increase of volatile compounds in other<br />

fermented condiments during fermentation was also<br />

reported in previous studies (Azokpota et al., 2008;<br />

Ouoba et al., 2005; Owens et al., 1997). The formation of<br />

volatile compounds during fermentation observed is<br />

obviously due to the microorganisms involved in<br />

fermentation as well as the processing factors such as<br />

boiling or roasting (Azokpota et al., 2010; Dakwa et al.,<br />

2005; Ouoba et al., 2005; Yuliana and Garcia, 2009).<br />

Indeed, difference between the volatile compounds<br />

profiles of soumbala samples was reported to rely on the<br />

variable ability of the species of microorganism to<br />

degrade the proteins, lipids and carbohydrates of African<br />

locust beans (Ouoba et al., 2005). Comparing volatile<br />

compounds produced during spontaneous and controlled<br />

fermentation of afitin, iru and sonru, a very pronounced<br />

increase of the concentration of total volatile compounds<br />

was reported during the use of Bacillus subtilis as starter<br />

culture (Azokpota et al., 2010). This increase was<br />

explained by the use of pure culture (Azokpota et al.,<br />

2010; Leejeerajumnean et al., 2001). Investigating on<br />

processing factors, Dakwa et al. (2005) found pretreatment<br />

of soybeans by either boiling or roasting before<br />

fermentation to generate different volatile compounds<br />

profiles of soy-dawadawa.<br />

The amount of the total volatile compounds decreased<br />

during the drying process resulting in a loss of up to<br />

80.7% of the total aroma volatile compounds. A previous<br />

study on Bacillus fermented soybeans also reported a<br />

loss of aroma compounds during drying<br />

(Leejeerajumnean et al., 2001). This loss is attributable to<br />

most of the compounds simply evaporating during the<br />

open-air drying process. On the other hand, other volatile<br />

components like 2-undecanone, 2-chloro-acetophenone<br />

and 3-methyl-2-heptanone appeared in the dried maari<br />

and a few volatile compounds like dimethyl trisulfide were<br />

higher in the dried maari than in the fermented non-dried<br />

maari. These changes could probably be related to<br />

variable factors such as enzymatic activities, Maillard<br />

reaction, strecker degradation or microbial metabolism<br />

that could continue to occur during the drying process.<br />

Overall, the volatile compounds reported in this study<br />

are highly variable and confirmed the non-standard<br />

production practices among producers. The present<br />

results support earlier studies that show the diversity of<br />

aroma volatile compounds in fermented food condiments<br />

such as Beninese afitin, iru and sonru, Burkinabe soumbala,<br />

Ghanaian soy-dawadawa, Japanese natto, Korean<br />

chungkuk-jang and Thai thua-nao (Azokpota et al., 2010;<br />

Azokpota et al., 2008; Dakwa et al., 2005;<br />

Leejeerajumnean et al., 2001; Ouoba et al., 2005;<br />

Tanaka et al., 1998). For soumbala, Ouoba et al. (2005)<br />

revealed the presence of pyrazines, aldehydes, ketones,<br />

esters, alcohols, acids, alkanes, alkenes, benzenes, phenols,<br />

sulphurs, furans pyridines and amines. Amines and<br />

pyridines were not found in afitin, iru and sonru (Azokpota<br />

et al., 2008). In addition to the chemical groups found in<br />

soumbala, (excluding pyridines) in this study, the<br />

presence of alkynes compounds was reported. In natto<br />

and thua-nao, ketones, acids and pyrazines were reported<br />

to be the major volatile compounds (Owens et al.,<br />

1997). Ester, mainly formed by esterification of carboxylic<br />

acids and alcohols was reported to determine the<br />

characteristic pleasant aromatic notes (Klesk and Qian,<br />

2003; Rodríguez-Bernaldo De Quirós et al., 2000).<br />

According to this study, maari shows a low level of<br />

pyrazines contrary to what has been reported for the


African locust bean fermented condiments such as afitin,<br />

iru, sonru and soumbala (Azokpota et al., 2008; Ouoba et<br />

al., 2005). Similar to our results, low presence of<br />

pyrazines was also recorded in soy-dawadawa obtained<br />

by boiled soybeans compared with roasted soybeans<br />

(Dakwa et al., 2005). The formation of pyrazines is<br />

generally associated with heating (Owens et al., 1997).<br />

Shu (1998) revealed that, pyrazines are characterized by<br />

their extremely high volatility and reactivity. Due to the<br />

physical proprieties of baobab seeds, the seeds are<br />

intensively cooked for about 36 h prior to the fermentation;<br />

this may be explained as the difference observed<br />

in the pyrazines content in the present study. The<br />

presence of arginine was also reported to decrease the<br />

yield of the pyrazines production (Hwang et al., 1995). In<br />

others studies, arginine content was recorded to be<br />

higher in baobab seeds (2.21 mg g -1 ) than in African<br />

locust bean (0 mg g -1 ), (Konlani et al., 1999; Glew et al.,<br />

1997) which could also explain the low content of<br />

pyrazines in fermented baobab seeds.<br />

Diversity of the volatile components from each typical<br />

sample was observed. This difference may be explained<br />

by the specificity of each typical product giving specific<br />

compounds which are presumably more critical for the<br />

sensory characteristics as perceived (and probably<br />

expected) by consumers in tasting the product. In<br />

previous studies, the use of pure culture of microorganisms<br />

led to uniform final fermented product<br />

preferred by a panel of consumers (Ouoba et al., 2005;<br />

Azokpota et al., 2010). This study is one of the steps<br />

which could give information for a future selection of<br />

starter culture to be used in controlled fermentation.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the Danida (Danish<br />

International Development Agency) funded project titled<br />

“Improving food potential in West African parkland trees”.<br />

Special thanks to the women who helped us with the<br />

maari processing during the study.<br />

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(Rubus spp. hyb) and Evergreen (R. laciniatus L.) Blackberries by<br />

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compounds in Bacillus fermented soybeans. J. Sci. Food. Agric. 81:<br />

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compounds of Soumbala, a fermented African locust bean Parkia<br />

biglobosa, food condiment. J. Appl. Microbiol. 99: 1413-1421.<br />

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volatiles compounds during Bacillus subtilis fermentation of soya<br />

beans. J. Sci. Food. Agric. 74: 132-140.<br />

Parkouda C, Diawara B, Ouoba LII (2008). Technology and physicochemical<br />

characteristics of Bikalga, alkaline fermented seeds of<br />

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Castro MJ, De la Cruz-García C, Simal-Lozano J (2000).<br />

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Sugars, a Pathway Other than Strecker Degradation. J. Agric. Food<br />

Chem. 46: 1515-1517.<br />

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Kuchi K (1998). Comparison of Volatile Compounds from Chungkuk-<br />

Jang and Itohiki-Natto. Biosci. Biotechnol. Biochem. 62:1440-1444.<br />

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Biotechnol. 8: 304-310.


African Journal of Biotechnology Vol. 10(20), pp. 4207-4211, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2476<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Antioxidant activities of Rosmarinus officinalis L.<br />

essential oil obtained by hydro-distillation and solvent<br />

free microwave extraction<br />

Okoh O. O. 1 , Sadimenko A. P. 1 and Afolayan A. J. 2 *<br />

1 Department of Chemistry, University of Fort Hare Alice, 5700, South Africa.<br />

2 Department of Botany, University of Fort Hare Alice, 5700, South Africa.<br />

Accepted March 3, 2011<br />

The essential oils of Rosmarinus officinalis L. growing in a rural area within the Nkonkobe Municipality<br />

of the Eastern Cape, South Africa, were extracted using the solvent free microwave extractor (SFME)<br />

and hydro-distillation (HD) methods. The antioxidant and free radical scavenging activity of the<br />

obtained oils were tested by means of 1,1-diphenyl-2-picrylhydrazyl radical (DPPH + ) assay and βcarotene<br />

bleaching test. In the DPPH + assay, while the free radical scavenging activity of the oil<br />

obtained by SFME method showed percentage inhibitions of 48.80, 61.60 and 67.00%, the HD oil<br />

showed inhibitions of 52.20, 55.00 and 65.30% at 0.33, 0.5 and 1.00 mg/ml, respectively. In the βcarotene<br />

bleaching assay, the percentage inhibition increased with increasing concentration of both<br />

oils, with a high antioxidant activity of the oil obtained through the SFME than through the HD method.<br />

The significance of this observation is discussed with respect to the properties of essential oils<br />

obtained using different methods.<br />

Key words: Essential oil, antioxidant, hydrodistillation, solvent free microwave extraction; Rosmarinus<br />

officinalis.<br />

INTRODUCTION<br />

Plants, especially herbs and spices, have many phytochemicals<br />

which are potential sources of natural antioxidants.<br />

These include phenolic diterpenes, flavonoids,<br />

tannins and phenolic acids (Dawidowicz et al., 2006).<br />

Some antioxidants have been widely used as food<br />

additives to protect food against oxidative degradation by<br />

free radicals. Spices which are used in different types of<br />

food to improve flavors are well known for their<br />

antioxidant properties (Madsen and Bertelsen, 1995).<br />

Recently, there has been increasing interest in the use of<br />

natural antioxidants such as tocopherols, flavonoids and<br />

extracts from rosemary (Rosmarinus officinalis L.) for<br />

food preservation (Hras et al., 2000; Bruni et al., 2004;<br />

Williams et al., 2004; Fruitos and Hernandez-Herrero,<br />

2005). According to these authors, these natural<br />

*Corresponding author. E-mail: aafolayan@ufh.ac.za. Fax:<br />

+27866282295.<br />

antioxidants do not present health problems that may<br />

arise from the use of synthetic antioxidants such as<br />

butylated hydroxy anisole (BHA), butylated hydroxy<br />

toluene (BHT) and propyl gallate (PG) which have side<br />

effects (Amarowicz et al., 2000; Aruoma et al., 1992).<br />

Antioxidants are compounds that neutralize chemically<br />

active products of metabolism, such as free radicals<br />

which can damage the body. It has been documented<br />

that plant phenols, with their potential to act as<br />

antioxidants, play a major role in the prevention of<br />

cancer, cardiovascular and neurogenerative diseases<br />

which are believed to be caused by oxidative stress<br />

(Losso et al., 2007).<br />

R. officinalis L. is a perennial herb with ever-green<br />

needle like leaves that belongs to the Lamiaceae family.<br />

The Lamiaceae is a large family, rich in aromatic species<br />

that are used as culinary herbs, in folk medicines and<br />

fragrances, and many members of this family possess<br />

essential oils that are secreted by glandular trichomes<br />

(Marin et al., 2006). Previous studies have shown that rose-


4208 Afr. J. Biotechnol.<br />

mary essential oil have antimicrobial, antioxidant, anticarcinogenic,<br />

cognition-improving and certain glucose<br />

level lowering properties which make it useful as a<br />

natural animal feed additive (Fahim et al., 1999;<br />

Debersac et al., 2001; Fu et al., 2007).<br />

Whilst the general antioxidant potential of R. officinalis<br />

essential oil have been reported before (Gachkar et al.,<br />

2007), there is no information on the possible effect of the<br />

method of extraction of the essential oils on the<br />

antioxidant property of this herb. The biological and<br />

phytochemical properties of essential oils extracted<br />

through different methods have been found to depend on<br />

the extraction method (Okoh et al., 2010). In this paper,<br />

we report the effects of solvent free microwave extraction<br />

and hydro-distillation extraction methods on the<br />

antioxidative properties of the essential oils of R.<br />

officinalis. The effects of these two extraction methods on<br />

the chemical compositions and antimicrobial activities of<br />

the oils have been previously reported in our laboratory<br />

(Okoh et al., 2010).<br />

MATERIALS AND METHODS<br />

All solvents and reagents used in these experiments such as<br />

methanol, chloroform and ethanol were of analytical grade and<br />

together with 2,2-diphenyl-2-picylhydrazyl hydrate (DPPH), 3,5-ditert-butyl-4-hydroxytoluene<br />

(BHT) -tocopherol, gallic acid (GA),<br />

rutin, β-carotene, linoleic acid and Tween 40, were all purchased<br />

from Sigma Aldrich (Pty) Ltd- Johannesburg, South Africa.<br />

Collection of plant material and extraction of the essential oil<br />

Collection, processing of the plant materials and extraction of the<br />

essential oils using SFME and HD methods were in accordance<br />

with our previous report (Okoh et al., 2010). Briefly, two samples of<br />

fresh leaves (250 g each) of R. officinalis were collected in<br />

February, 2009 from the vicinity of the University of Fort Hare, Alice<br />

campus in the Eastern Cape Province of South Africa (latitudes<br />

30°00-34°15S and longitudes 22°45-30°15E). The plant was<br />

identified by Prof Don Grierson of the Botany Department,<br />

University of Fort Hare, Alice and a voucher specimen (Okoh/10)<br />

was deposited at the University herbarium.<br />

SFME was carried out with a Milestone DryDIST (2004)<br />

apparatus. The multimode reactor has a twin magnetron (2 × 800<br />

W, 2450 MHz) with a maximum delivered power of 500 W in 5 W<br />

increments. A rotating microwave diffuser ensures homogeneous<br />

microwave distribution throughout the plasma coated PTFE cavity.<br />

The temperature was monitored by an external IR sensor. Constant<br />

conditions of temperature and water were guaranteed by the reflux<br />

of condensed water, which was achieved by a circulating cooling<br />

system at 5°C. Two hundred and fifty grams (250 g) of the plant<br />

leaves were placed into the reactor without addition of water or any<br />

solvent. The exhaustive extraction of the essential oil was obtained<br />

in 40 min.<br />

For the HD, 250 g of the plant leaves were hydrodistilled for 3 h<br />

in an all-glass Clevenger apparatus in accordance with the<br />

description of the British Pharmacopoeia (1980). Heat was supplied<br />

to the heating mantle (50°C) and the essential oil was extracted<br />

with 4 L of water for 3 h (until no more essential oil was released).<br />

The oils collected from both extraction methods were analyzed<br />

immediately after each collection using GC-MS. The compositions<br />

of these oils have been previously reported (Okoh et al., 2010).<br />

Antioxidant activity<br />

DPPH radical scavenging activity<br />

The method of Liyana-Pathiranan and Shahidi (2005) was used for<br />

the determination of scavenging activity of DPPH free radical in the<br />

essential oils. A solution of 0.135 mM DPPH in methanol was<br />

prepared and 1.0 ml of this solution was mixed with 1.0 ml of oil<br />

prepared in methanol containing 0.025 to 0.5 mg of the essential oil<br />

and standard drugs (BHT and rutin). The reaction mixture was<br />

vortexed thoroughly and left in the dark at room temperature for 30<br />

min. The absorbance of the mixture was measured spectro-photometrically<br />

at 517 nm. The ability of the plant essential oils to<br />

scavenge DPPH radical was calculated by the following equation:<br />

DPPH radical scavenging activity = {(Abscontrol – Abssample)} / (Abs<br />

control} × 100<br />

where, Abscontrol is the absorbance of DPPH radical + methanol,<br />

Abssample is the absorbance of DPPH radical + sample oil /standard.<br />

β- carotene bleaching assay<br />

This method evaluates the capacity of the oil to reduce the<br />

oxidative loss of β-carotene in a β-carotene linoleic acid emulsion<br />

(Taga et al., 1984). β-Carotene (10 mg) was dissolved in 10 ml of<br />

chloroform (CHCl3). An aliquot (0.2 ml) of this solution was added<br />

into a boiling flask containing 20 mg of linoleic acid and 200 mg of<br />

Tween 40. The chloroform was removed using a rotary evaporator<br />

at 40°C for 5 min. Distilled water (50 ml) was slowly added to the<br />

residue with vigorous agitation, to form an emulsion. The emulsion<br />

was added to a tube containing 0.2 ml of essential oil. The<br />

absorbance was immediately measured at 470 nm and the test<br />

emulsion was incubated in a water bath at 50°C for 5 min, after<br />

which the absorbance was measured again. BHT was used as the<br />

positive control. In the negative control, the essential oils were<br />

substituted with an equal volume of ethanol. The antioxidant activity<br />

(%) of the oil was evaluated in terms of the bleaching of the βcarotene<br />

using the following formula:<br />

% inhibition = {(At-Ct) / (CO-Ct)} × 100<br />

where, At and Ct are the absorbances measured for the oil and<br />

control, respectively, after incubation for 5 min, and CO is the<br />

absorbance values for the control measured at zero time during the<br />

incubation.<br />

The oil concentration providing 50% antioxidant activity (EC50)<br />

was calculated by plotting antioxidant percentage against oil<br />

concentration.<br />

RESULTS AND DISCUSSION<br />

The principle of antioxidant activity is based on the<br />

availability of electrons to neutralize free radicals. In this<br />

study, the antioxidant activity of R. officinalis oil was<br />

evaluated by two complementary tests: scavenging of<br />

DPPH + free radicals and the β-carotene bleaching test.<br />

The results are as shown in Figures 1 and 2, respectively.<br />

The free radical scavenging activity of essential oil of R.<br />

officinalis obtained by SFME revealed percentage<br />

inhibitions of 48.80 , 61.60 and 67.00%, while that of the<br />

HD oil showed percentage inhibitions of 52.20, 55.00 and


Inhibition of beta carotene (%)<br />

Inhibition of DPPH + (%)<br />

65.30% both at concentrations of 0.33 , 0.5 and 1.0<br />

mg/ml, respectively. These results show that activity<br />

increases as the concentrations of the oils were<br />

increased, at least within the limit of the test concentrations<br />

of the oils (Figure 1). The SFME essential oil<br />

showed a slightly higher DPPH-radical scavenging<br />

activity (IC50 = 0.34 mg/ml) than the hydrodistilled<br />

essential oil (IC50 = 0.46 mg/ml), whereas for BHT, IC50<br />

Figure 1. Free radical-scavenging activity of R. officinalis<br />

essential oil evaluated by the 1,1-diphenyl-2-picrylhydrazyl<br />

(DPPH).<br />

Figure 2. Antioxidant activity of R. officinalis L. essential oil<br />

determined by β-carotene bleaching test.<br />

Okoh et al. 4209<br />

was 0.22 mg/ml at concentration of 0.33 mg/ml.<br />

The result of lipid peroxidation inhibitory activity of the<br />

essentials oils, assessed by the β-carotene bleaching test<br />

are shown in Figure 2. β-Carotene usually undergoes<br />

rapid discoloration in the absence of an antioxidant. This<br />

is because the oxidation of β-carotene and linoleic acid<br />

generates free radicals (Jayaprakasha et al., 2001). The<br />

linoleic acid free radical formed upon the abstraction of a


4210 Afr. J. Biotechnol.<br />

hydrogen atom from one of its diallylic methylene groups<br />

attacks the highly unsaturated β-carotene molecule,<br />

hence β-carotene is oxidized, losing its orange color<br />

which is then monitored spectrophotometrically (Shon et<br />

al., 2003). The results obtained from this assay are<br />

similar to the data obtained from DPPH test. The<br />

percentage inhibitions were 48.62, 68.06 and 86.79% for<br />

hydrodistilled oil; and 35.87, 76.29 and 91.19% for<br />

solvent free microwave extracted oil at concentrations of<br />

0.33, 0.5 and 1.0 mg/ml, respectively. Although, both oils<br />

prevented the bleaching of β-carotene, the SFME<br />

extracted oil had a slightly higher activity than the HD<br />

extracted oil. These results are also consistent with the<br />

results obtained from DPPH test. The concentrations<br />

providing 50% inhibition were 0.338, 0.282, and 0.22<br />

mg/ml for HD, SFME and BHT, respectively. It was noted<br />

that the antioxidant activities of the tested samples were<br />

dependent on their concentrations. The IC50 of SFME was<br />

however lower than that of HD essential oil.<br />

In plant essential oils, oxygenated monoterpenes and<br />

monoterpene hydrocarbons are mainly responsible for<br />

the antioxidant potential (Ruberto and Baratta, 2000), and<br />

in our previous findings (Okoh et al., 2010) on the<br />

chemical constituents component of this study, we<br />

reported that oxygenated monoterpenes and monoterpene<br />

hydrocarbons were the main components of R.<br />

officinalis essential oil.<br />

Many reports on the investigations of the activity of R.<br />

officinalis have shown that there are biologically active<br />

compounds in R. officinalis essential oil that exhibit<br />

cytotoxic, antioxidant, anti-carcinogenic and cognitionenhancing<br />

properties (Okamura et al., 1994; Frankel et<br />

al., 1996; Thorsen and Hildebrandt, 2003). These<br />

compounds that have the potential to influence glucose<br />

level in diabetic patients, modify rumen microbial<br />

fermentation and enhance bone desorption, but do not<br />

enhance immune response (Oluwatuyi et al. 2004; Wang<br />

et al., 2008). Essential oils, despite their wide uses and<br />

fragrances, constitute effective alternatives to synthetic<br />

compounds produced by chemical industry without<br />

showing the same side effects as the latter (Faixova and<br />

Faix, 2008). In this study, both SFME and HD extracted<br />

oil exhibited remarkable antioxidant activities. In general,<br />

the essential oil obtained from SFME showed greater<br />

activity than the one obtained from HD.<br />

It is very difficult to attribute the antioxidant effect of a<br />

total essential oil to one or a few active principles<br />

because an essential oil always contains a mixture of<br />

different chemical compounds. In addition to the major<br />

compounds, minor molecules may make significant<br />

contributions to the oil activity. Therefore, the antioxidant<br />

property of the oils from this herb might be the combined<br />

activities of the various major and minor components of<br />

the oils.<br />

In conclusion, the results of this study showed some<br />

differences in the antioxidant activities and chemical<br />

composition of the essential oils obtained by SFME and<br />

HD extraction methods. The SFME extracted oil showed<br />

a higher activity than that obtained by HD. This is probably<br />

due to the higher proportions of oxygenated compounds<br />

in SFME extracted oils. According to Okoh et al. (2010),<br />

higher amounts of oxygenated compounds with lower<br />

amounts of monoterpene hydrocarbons were present in<br />

the essential oils of this plant isolated by SFME in<br />

comparison with the oil obtained by traditional hydrodistillation.<br />

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and prooxidant properties of active rosemary constintuents: Carnosol<br />

and carnosic acid. Xenob. 22: 257- -268.<br />

British Pharmacopoeia (1980). H. M. S. Office. 2, London, pp. 109-110.<br />

Bruni R, Muzzoli M, Ballero M, Loi MC, Fantin G, Poli F (2004).<br />

Tocopherols, fatty-acids and sterols in seeds of four<br />

Sardinian wild Euphorbia species. Fitoter. 75: 50-61.<br />

Debersac P, Heydel JM, Amiot MJ, Goudonnet H, Artur Y, Suschetet M,<br />

Siess MH (2001). Induction of cytochrome P 450 and/or detoxication<br />

enzymes by various extracts of rosemary: description of specific<br />

patterns. Fd. Chem. Toxicol. 39: 907-918.<br />

DryDIST (2004). Milestone srl, Via Fratebenefratelli, 1/5, I-24010<br />

Sorisole, Bergamo, Italy. Available from www.milestonesrl.com.<br />

Fahim FA, Esmat AY, Fadel HM, Hassan KF (1999). Allied studies on<br />

the effect of Rosmarinus officinalis L. on experimental hepatotoxicity<br />

and mutagenesis. Intl. J. Food. Sci. Nutri. 50: 413-427.<br />

Faixova Z, Faix S, S (2008). Biological effects of rosemary (Rosmarinus<br />

officinalis L. essential oil (A Review) .University of Veterinary<br />

Medicine, Komenskho 73, 041 81 Kosice lnstitute of Animal<br />

Physiology Slovak Academy of Sciences, Soltesovej 4, 040 0l,<br />

Kosice, The Slovak Republic.<br />

Frankel EN, Huang SW, Aeschbach R, Prior E (1996). Antioxidant<br />

activity of a rosemary extract and its constituents, carnosic acid,<br />

carnosol and rosmarinic acid in bulk oil and oil in water emulsion. J.<br />

Agri. Food. Chem. 44: 131-135.<br />

Fruitos MJ, Hernandez–Herrero JA (2005). Effects of rosemary extract<br />

(Rosmarinus officinalis) on the stability of bread with an oil, garlic and<br />

parsley dressing. Lebensmittel-Wissenschaft und Technologic, 38 :<br />

651-655.<br />

Fu Y, Zn Y, Chen L, Shi X, Wang Z, Sun S, Efferth T (2007).<br />

Antimicrobial activity of clove and rosemary essential oils alone and<br />

in combination. Phytoth. Res. 1: 989-994.<br />

Gachkar L, Yadegari D, Rezaei MB, Taghizadeh M, Alipoor AS, Rasooli<br />

I (2007). Chemical and biological characteristics of Cuminum<br />

cyminum and Rosmarinus officinalis essential oils. Food. Chem. 102:<br />

898-904.<br />

Hras AR, Hadolin M, Knez Z, Bauman D (2000). Comparison of<br />

antioxidative and synergistic effects of rosemary extract with<br />

tocopherol, ascorbyl palmitate and citric acid in sunflower oil. Food.<br />

Chem. 71: 229-233.<br />

Jayaprakasha GK, Singh RP, Sakariah, KK (2001). Antioxidant activity<br />

of grape seed (Vitis vinifera) extracts on peroxidation models in vitro.<br />

Food. Chem. 73: 285–290.<br />

Liyana- Pathiranan CM, Shahidi F (2005). Antioxidant activity of<br />

commercial soft and hard wheat (Triticum aestivum L) as affected by<br />

gastric conditions. J. Agric. Food . Chem.. 53: 2433-2440.<br />

Losso JN, Shahidi F, Bagchi D (2007). Anti-angiogenic functional and<br />

medicinal foods. Boca Raton, FL: Taylor & Francis.<br />

Madsen HL, Bertelsen G (1995). Spices as antioxidants. Trds. Food<br />

Sci. Tech. 6: 271-277.<br />

Marin M, Koko V, Duletic-Lausevic S, Marin PD, Rancic D, Dajic–<br />

Stevanovic Z (2006). Glandular trichomes on the leaves of<br />

Rosmarinus officinalis: Morphology, stereology and histochemistry.<br />

South Afr. J. Bot. 72: 378-382.<br />

Okamura N, Fujimoto Y, Kuwabara S, Yagi A (1994). High performance<br />

liquid chromatographic determination of carnosic acid and carnosic


acid and carnosol in Rosmarinus officinalis and salvia officinalis. J.<br />

Chrom. A, 679: 381-386.<br />

Okoh OO, Sadimenko AP, Afolayan AJ (2010). Comparative evaluation<br />

of the antibacterial activities of the essential oils of Rosmarinus<br />

officinalis L. obtained by hydrodistillation and solvent free microwave<br />

extraction methods. Food Chem. 120: 308-312.<br />

Oluwatuyi M, Kaatz GW, Gibbons S (2004). Antibacterial and resistance<br />

modifying activity of Rosmarinus officinalis. Phytochem. 65(24):<br />

3249-3254.<br />

Ruberto G, Baratta MT (2000). Antioxidant activity of selected essential<br />

oil components in two lipid model systems. Food Chem. 69: 167-174.<br />

Taga MS, Miller EE, Pratt DE (1984). Chia seeds as a source of natural<br />

lipid antioxidant. J. Amer. oil Chem. Soc. 61: 928-931.<br />

Thorsen MA, Hildebrandt KT (2003). Quantitative determination of<br />

phenolic diterpenes in rosemary extracts. Aspects of accurate<br />

quantification. J. Chroma. A. 995: 119-125.<br />

Okoh et al. 4211<br />

Williams RJ, Spencer JPE, Rice-Evans C (2004). Flavonoids:<br />

Antioxidants or signaling molecules? Free Rad. Biol. Med. 36 (7):<br />

838-849.


African Journal of Biotechnology Vol. 10(20), pp. 4212-4216, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2656<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Effects of bagging on sugar metabolism and the activity<br />

of sugar metabolism related enzymes during fruit<br />

development of Qingzhong loquat<br />

Zhaojun Ni 1 , Zhen Zhang 1 , Zhihong Gao 1 *, Linping Gu 2 and Leifang Huang 2<br />

1 College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu, People’s Republic of China.<br />

2 Service Centre of Agriculture and Forestry, Suzhou, Jiangsu, People’s Republic of China.<br />

Accepted 17 March, 2011<br />

To investigate the effects of bagging on sugar metabolism and the activity of sugar metabolism related<br />

enzymes in Qingzhong loquat fruit development, the contents of sucrose, glucose and soluble solids as<br />

well as the activities of sugar metabolism related enzymes were evaluated. The content of sucrose,<br />

glucose and soluble solids increased, while the content of fructose, sorbitol and titratable acidity<br />

decreased in ripe fruit in response to bagging. In addition, the activities of acid invertase (AI) and<br />

neutral invertase (NI) in the bagged fruit were lower than that in the non-bagged fruit, and the activities<br />

of sucrose synthase (SS) and sucrose-phosphate synthase (SPS) in the bagged fruit were higher than<br />

that in the non-bagged fruit. The activities of SDH (sorbitol dehydrogenase) and SOX (sorbitol oxidase)<br />

in the bagged fruit were lower than those in the non-bagged fruit, but there was no significant<br />

difference, whereas the activities of SS and SPS in the bagged fruit were significantly higher than that<br />

in the non-bagged fruit, suggesting that bagging mainly increased the products of photosynthesis by<br />

enhancing the activities of SS and SPS.<br />

Key words: Loquat, bagging, sugar metabolism.<br />

INTRODUCTION<br />

Bagging is an effective method of improving fruit quality<br />

in fruit production and has been widely used to improve<br />

fruit appearance, decrease pesticide residues and<br />

increase commercial value. Moreover, bagged fruit is<br />

preferred by the consumers. Yang et al. (2009) proved<br />

that bagging could modify the microenvironment during<br />

fruit development, decreasing the rate of fruit drop and<br />

reducing the content of organic acid in longan fruit. Kim et<br />

al. (2008) reported that the appearance of bagged<br />

peaches improved, while the content of soluble solids,<br />

anthocyanin and chlorophyll increased in white coloured<br />

*Corresponding author. E-mail: gaozhihong@njau.edu.cn. Tel:<br />

+86 2584395724. Fax: +86 2584395266.<br />

Abbreviations: AI, Acid invertase; NI, neutral invertase; SS,<br />

sucrose synthase; SPS, sucrose-phosphate synthase; SDH,<br />

sorbitol dehydrogenase; SOX, sorbitol oxidase.<br />

bags. Lin et al. (2008) demonstrated that bagged pear<br />

fruits were more attractive with less russet and visible<br />

dots than non-bagged fruit, while the residues of<br />

chlorpyrifos carbendazim and cyhalothrin were also greatly<br />

reduced. Consumers also showed preference for bagged<br />

fruit.<br />

Loquat (Eriobotrya japonica Lindl.) originated in China,<br />

is distributed in Zhejiang, Fujian and Jiangsu Province<br />

(Qiu and Zhang, 1996). ‘Qingzhong’ loquat is a local<br />

cultivar from Suzhou, Jiangsu Province. The fruit has<br />

good flavour and storage ability. Xu et al. (2008, 2010)<br />

and Feng et al. (2009) studied the effects of bagging on<br />

‘Baiyu’ loquat and ‘Ninghaibai’ loquat fruit quality and<br />

antioxidative capacity. However, the effects of bagging on<br />

sugar metabolism during fruit development were not<br />

explored. The purpose of this study was to determine the<br />

effects of bagging on sugar metabolism and the activities<br />

of related enzymes during loquat fruit development, and<br />

establish a basis for the improvement of this cultivation<br />

technique.


MATERIALS AND METHODS<br />

Materials<br />

Thirty-year-old ‘Qingzhong’ loquat trees grown at Suzhou, Jiangsu<br />

Province were used in this project. The fruits were bagged (white,<br />

single-layer sulphuric acid paper) about 40 days after initial fruit set,<br />

with bagging 80 fruits per plant. Ten fruits were sampled every 15<br />

days until harvest. Sampling was repeated three times. Flesh was<br />

separated from the fresh fruit for each treatment and frozen at -<br />

70°C for further study.<br />

Sugar content<br />

Dried fruit (0.1 to 0.2 g) was powdered in a chilled mortar with 5 ml<br />

of distilled water. The homogenate was centrifuged at 5000 ×g for<br />

10 min. The supernatant was poured into a Sephadex G-25 column<br />

and re-extracted once. The supernatants were combined and the<br />

volume was increased to 25 ml. The contents of sucrose, glucose<br />

and fructose were determined by the anthrone colorimetric method.<br />

Sampling was repeated three times.<br />

Frozen fruit was powdered in a mortar chilled with liquid nitrogen.<br />

Two grams of fruit were added to 7 ml 70% ethanol and mixed into<br />

a homogenate for about 20 min in 35°C water. Then, the<br />

homogenate was centrifuged at 10, 000 ×g for 5 min. The<br />

supernatant was poured into a Sephadex G-25 and re-extracted<br />

once. The supernatants were combined and the volume increased<br />

to 25 ml. A 2 ml sample of supernatant was evaporated to dryness<br />

and dissolved with 1 ml of distilled water. The content of sorbitol<br />

was quantified by HPLC (high performance liquid chromatography,<br />

Agilent 1100). A 15 µl aliquot was passed through a CA column (10<br />

µm diameter). Flowing water was used for the mobile phase. The<br />

temperature of the column was 85°C. Sampling was repeated three<br />

times.<br />

Enzyme activity<br />

Extraction and determination of acid invertase (AI), neutral<br />

invertase (NI), sucrose synthase (SS) and sucrose-phosphate<br />

synthase (SPS) were determined by the method described by<br />

Nielsen et al. (1991). Frozen fruit was powdered in a mortar chilled<br />

with liquid nitrogen. Fruit (1 g) was added to 5 ml of pre-cooled<br />

extraction buffer (0.2 M Tris-Hcl buffer, pH = 8.8) containing 25 mM<br />

MgCl2 and 15 mM NaN3, and made into a homogenate in an icebath.<br />

Then, the homogenate was centrifuged at 10,000 ×g for 15<br />

min. The supernatant was poured into a Sephadex G-10 and reextracted<br />

once. The supernatants were combined and the volume<br />

was increased to 10 ml, which was used as the enzyme extract.<br />

Sampling was repeated three times.<br />

The activity of sorbitol dehydrogenase (SDH) was determined by<br />

the following method: Enzyme solution (150 l) and 1.05 ml of 25<br />

mM NAD + were combined, to which 1.05 ml of 150 mM D-sorbitol<br />

was added. The absorbance was determined at 340 nm. In the<br />

enzyme-free reaction system, 150 l of 0.2 M Tris-HCl (pH = 8.8)<br />

was used as the control instead of enzyme solution. The treatment<br />

was repeated three times. The units (OD • mL –1 • min –1 ) of SDH<br />

activity was the change of absorbance of 1 ml reaction solution per<br />

minute. The activity of SOX (sorbitol oxidase) was determined by<br />

the method of Yamaki (1980) and Yamaki and Ishikawa (1986).<br />

Statistical analysis<br />

Statistical analysis was carried out using analysis of variance and<br />

the significance was determined using SPSS 16.0 (Statistical<br />

package for the social science) with LSD (least significant<br />

difference) values at P < 0.05.<br />

RESULTS<br />

Effects of bagging on the content of sugar<br />

Ni et al. 4213<br />

The glucose content in ripe fruit increased in response to<br />

bagging (P < 0.05), while the levels of sorbitol and titratable<br />

acid decreased (Table 1). Soluble solid to acidity ratio<br />

increased in bagged fruit. The contents of sucrose,<br />

fructose and glucose in the bagged and non-bagged fruit<br />

increased with fruit development (Figure 1 A, B and C).<br />

The content of fructose in the bagged fruit was slightly<br />

lower than that in the non-bagged fruit before 70 days<br />

after initial fruit set and decreased by 2.01 mg·g -1 in ripe<br />

fruit when compared with control. The amount of sucrose<br />

and glucose in the bagged fruit were slightly lower than<br />

those in the non-bagged fruit before 85 days after initial<br />

fruit set, after which the amounts were higher for bagged<br />

than non-bagged fruit. The contents of sucrose and<br />

glucose were higher in bagged than in non-bagged fruits<br />

by 1.30 mg·g -1 and 2.75 mg·g -1 in ripe fruit, respectively.<br />

The accumulation of sorbitol in the bagged fruit was<br />

very similar to that in non-bagged fruit during fruit development,<br />

decreasing at first and then increased during<br />

development. The content of sorbitol in the bagged fruit<br />

was lower than that found in the non-bagged fruit (Figure<br />

1D).<br />

Effects of bagging on the activities of sucrose<br />

metabolism related enzymes<br />

Invertase belongs to an enzyme class in which the<br />

regulation of sucrose conversion into fructose and<br />

glucose in the plant is mediated by NI and AI (Ni et al.,<br />

2009). The activities of NI and AI in the bagged fruit were<br />

quite similar during fruit development (Figure 2A and B).<br />

The activities of NI and AI in the non-bagged fruit initially<br />

increased faster and then more slowly until the fruit<br />

ripened. The activity of AI was slightly higher in the<br />

bagged fruit than in the non-bagged fruit when fruit<br />

ripening approached.<br />

SS is an enzyme that plays a key role in sucrose<br />

decomposition in the course of sucrose metabolism and<br />

SPS is a key enzyme that regulates sucrose synthesis in<br />

the plant (Zheng et al., 2006). The activity of SS in the<br />

bagged fruit increased during fruit development and was<br />

higher than that in the non-bagged fruit (Figure 2C). The<br />

change in SS and SPS activities in the bagged and nonbagged<br />

fruit was almost the same before 85 days after<br />

the initial fruit set. After this date, the activities of SS and<br />

SPS in the bagged fruit increased more rapidly (Figure<br />

2D).<br />

Effects of bagging on the activities of sorbitol<br />

metabolism related enzymes<br />

SDH is an enzyme that catalyses the conversion of sorbitol


4214 Afr. J. Biotechnol.<br />

Table 1. Effects of bagging on the contents of sugar, sucrose, fructose, glucose, sorbitol, soluble solids and titratable acidity in fruit of<br />

Qingzhong loquat.<br />

Treatment<br />

Content<br />

of sugar<br />

(mg·g – 1 )<br />

Content of<br />

sucrose<br />

(mg·g – 1 )<br />

Content of<br />

fructose<br />

(mg·g – 1 )<br />

Content of<br />

glucose<br />

(mg·g – 1 )<br />

Content of<br />

sorbitol<br />

(mg·g – 1 )<br />

Soluble<br />

solid<br />

(%)<br />

Titratable<br />

acidity<br />

(%)<br />

Solid/acid<br />

ratio<br />

Control 60.04 b 21.62 a 24.46 a 7.55 b 6.41 a 14.35 a 0.45 a 31.89<br />

Bagged 57.95 a 22.92 a 22.45 a 10.3 a 2.28 b 15.13 a 0.35 b 43.23<br />

The different letters indicate significant difference at 0.05 level; sugar = sucrose + fructose + glucose + sorbitol. Solid/acid ratio represents the<br />

ratio of soluble solid to titratable acidity.<br />

Content of sucrose(mg.g-1)<br />

Content of glucose(mg.g-1)<br />

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Figure 1. Effects of bagging on the content of (A) sucrose, (B) fructose, (C) glucose and (D) sorbitol in fruit<br />

of Qingzhong loquat.<br />

to fructose and SOX is an enzyme that catalyses the<br />

conversion of sorbitol to glucose (Liang et al., 2004). The<br />

activities of SDH and SOX in the bagged and nonbagged<br />

fruit were quite similar during fruit development<br />

and decreased before 85 days after initial fruit set before<br />

increasing slowly until the fruit ripened (Figure 3A and B).<br />

The correlation between sugar accumulation and<br />

activities of sucrose and sorbitol-metabolizing<br />

enzymes during fruit development<br />

Sucrose content displayed a very significant positive<br />

correlation with the activities of SS and SPS during<br />

bagged fruit development, while glucose content also<br />

positively correlated very significantly with the activity of<br />

sucrose-metabolizing enzymes. Sorbitol content also<br />

exhibited a significant positive correlation with the activity<br />

of SDH. The content of sucrose, fructose, glucose and<br />

the activity of sucrose-metabolizing enzymes during nonbagged<br />

fruit development showed a very significant<br />

positive correlation, suggesting that bagging affects the<br />

accumulation of fructose and the activity of sucrosemetabolizing<br />

enzymes (Table 2).<br />

DISCUSSION<br />

The results demonstrated that average fruit weight in the<br />

bagged fruit was lower than that in non-bagged fruit. The


Activity of neutral invertase<br />

(mg.g-1FW.h-1)<br />

Activity of sucrose synthase<br />

(mg.g-1 FW.h-1)<br />

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Activity of acid invertase<br />

(mg.g-1FW.h-1)<br />

Acticity of sucrose phosphate<br />

synthase<br />

(mg/g.h FW)<br />

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Figure 2. Effects of bagging on the activities of (A) neutral invertase, (B) acid invertase, (C) sucrose synthase and (D)<br />

sucrose-phosphate synthase in fruit of Qingzhong loquat.<br />

Activity of sorbitol dehydrogenase<br />

(OD.ml-1.min-1FW)<br />

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Activity of sorbitol oxidase<br />

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Ni et al. 4215<br />

Figure 3. Effects of bagging on the activities of (A) sorbitol dehydrogenase and (B) sorbitol oxidase in fruit of Qingzhong loquat.<br />

trend in sucrose, fructose, glucose and sorbitol accumulation<br />

were quite similar but the rates of accumulation<br />

were not synchronous in the bagged and non-bagged<br />

fruit during fruit development. The accumulation of<br />

sucrose and glucose in the bagged fruit increased, while<br />

the accumulation of fructose and sorbitol decreased. The<br />

content of soluble solids in the bagged fruit increased and<br />

the content of titratable acidity decreased when compared<br />

with the non-bagged fruit. These results coincide with<br />

what Xu et al. (2008, 2010) report on the ‘Baiyu’ loquat<br />

treated with a white single-layer paper bag.<br />

This study found that the content of sorbitol in<br />

‘Qingzhong’ loquat mature leaf was 24.52 mg·g -1 , 3.83<br />

times that of the mature fruit (data was not shown in the<br />

results), which revealed that the content of sorbitol in the<br />

mature fruit was much lower than that in the mature leaf.


4216 Afr. J. Biotechnol.<br />

Table 2. The correlation between sugar accumulation and activities of sucrose-metabolizing enzyme and<br />

sorbitol-metabolizing enzyme during fruit development.<br />

Treatment Sugar content NI AI SS SPS SDH SOX<br />

Sucrose 0.996** 0.990** 0.991** 0.986** — —<br />

Control<br />

Fructose<br />

Glucose<br />

0.988**<br />

0.994**<br />

0.978**<br />

0.989**<br />

0.977**<br />

0.983**<br />

0.970**<br />

0.981**<br />

—<br />

—<br />

—<br />

—<br />

Sorbitol — — — — 0.836 0.76<br />

Bagging<br />

Sucrose 0.981* 0.984* 0.994** 0.999** — —<br />

Fructose 0.957* 0.958* 0.972* 0.984* — —<br />

Glucose 0.993** 0.993** 0.997** 0.994** — —<br />

Sorbitol — — — — 0.968* 0.558<br />

**Correlation is significant at the 0.01 level (2-tailed); *correlation is significant at the 0.05 level (2-tailed); — correlation is<br />

negative. AI, acid invertase; NI, neutral invertase; SS, sucrose synthase; SPS, sucrose-phosphate synthase; SDH,<br />

sorbitol dehydrogenase; SOX, sorbitol oxidase.<br />

However, the accumulation of sorbitol in bagged fruit was<br />

lower than that of the non-bagged fruit. Ruan et al. (1997)<br />

reported that the difference in sugar content in fruit was<br />

independent of export from a source leaf but the transport<br />

capacity of sugar was different in different kinds of fruit<br />

trees, which suggested that the content of sorbitol<br />

entering the fruit did not depend on the output capacity of<br />

the leaf but on the gathering ability of the fruit. A possible<br />

reason why the content of sorbitol in the bagged fruit was<br />

lower than that in the non-bagged fruit is that bagging<br />

might affect the ability to transport sorbitol from the<br />

leaves to the fruits. Bagging influenced the activities of<br />

sucrose and sorbitol metabolism related enzymes. The<br />

activities of NI and AI were lower in bagged fruit than<br />

those in the non-bagged fruit and were significantly<br />

different before 85 days after initial fruit set. The activity<br />

of NI was similar in the bagged and non-bagged fruit,<br />

whereas the activity of AI was higher in the bagged than<br />

in the non-bagged fruit until the fruit ripened. The<br />

activities of SS and SPS were higher in the bagged than<br />

in the non-bagged fruit, which suggested that bagging<br />

mainly increased the activities of sucrose metabolism<br />

related enzymes.<br />

Sugar introduced into the fruit from the leaf depends on<br />

the sink strength of the fruit to a large extent. An important<br />

physiological marker that determines sink strength is<br />

the activities of sucrose metabolism related enzymes<br />

(Vizzotto et al., 1996). As photosynthesis in fruit decreased<br />

after bagging (Xu et al., 2010), the activities of sugar<br />

related enzymes may be required to increase the sink<br />

strength of the fruit to obtain more products of photosynthesis.<br />

This study suggests that bagging mainly<br />

offsets the loss induced by lack of sunlight by increasing<br />

the activities of SS and SPS.<br />

REFERENCES<br />

Feng JJ, Chen JW, Xu HX, Zhang YC, Xie M, Hu YC (2009). Effects of<br />

different light transmittance paper bags on fruit quality and<br />

antioxidant capacity in Ninghaibai loquat cultivar. J. Fruit Sci. 26: 66–<br />

70.<br />

Kim YH, Kim HH, Youn CK, Kweon SJ, Jung HJ, Lee CH (2008).<br />

Effects of bagging material on fruit coloration and quality of<br />

‘Janghowon Hwangdo’ peach. Acta Hort. 772: 81-86.<br />

Liang D, Ma FW, Guan QM, Zhang JK, Xu LF (2004). Advances in the<br />

research of enzymes related to sorbitol metabolism in plants of<br />

Rosaceae. Acta Bot. Bor.-Occi. Sinica. 24: 1362–1366.<br />

Lin J, Chang YH, Yan ZHM, Li XG (2008). Effects of bagging on the<br />

quality of pear fruit and pesticide residues. Acta Hort. 772: 315-318.<br />

Ni ZJ, Shen DT, Gu LP, Zhang Z, Huang LF, Gao ZH (2009). Sugar<br />

accumulation and related enzyme activity during the loquat fruit<br />

development. Acta Bot. Bor.-Occi. Sinica. 29: 478–493.<br />

Nielsen TH, Skjærbæk HC, Karlsen P (1991). Carbohydrate metabolism<br />

during fruit development in sweet pepper(Capsicum annuum) plants.<br />

Physiol. Plantarum. 82: 311–319.<br />

Qiu WL, Zhang HZ (1996). China Fruit Records - Logan and Loquat.<br />

China forestry press, Beijing, China.<br />

Ruan YL, Patrick JW, Bardy C (1997). Protoplast hexose carrier activity<br />

is a determinate of genotypic different in hexose storage in tomato<br />

fruit. Plant Cell Environ. 20: 341–349.<br />

Vizzotto G, Pinton R, Varanini Z, Costa G (1996). Sucrose accumulation<br />

in developing peach fruit. Physiol. Plant. 96: 225-230.<br />

Xu HX, Chen JW, Xie M (2010). Effect of different light transmittance<br />

paper bags on fruit quality and antioxidant capacity in loquat. J. Sci.<br />

Food Agri. 90: 1783-1788.<br />

Xu HX, Chen JW, Zhang YC, Xie M, Zhou LM, Qian JL, Tang QM, Xu<br />

CM (2008). Effects of bagging on fruit quality and antioxidant capacity<br />

in ‘Baiyu’ loquat. Acta. Hort. Sinica. 35: 1193-1198.<br />

Yamaki S (1980). A sorbitol oxidase that converts sorbitol to glucose in<br />

apple leaf. Plant Physiol. 21: 591-599.<br />

Yamaki S, Ishikawa K (1986). Roles of four sorbitol related enzymes<br />

and invertase in the seasonal alteration of sugar metabolism in apple<br />

tissue. J. Am. Soc. Hort. Sci. 111: 134–137.<br />

Yang WH, Zhu XC, Bu JH, Hu GB, Wang HC, Huang XM (2009).<br />

Effects of bagging on fruit development and quality in cross-winter<br />

off-season longan. Sci. Hort. 120: 194-200.<br />

Zheng GQ, Song YX, Guo SH, Ma HA, Niu DL (2006). Soluble sugar<br />

accumulation and the activities of sugar metabolism related enzymes<br />

in cistanche deserticola and its host haloxylon ammodendron. Acta<br />

Botanica Boreali-Occidentalia Sinica. 26: 1175-1182.


African Journal of Biotechnology Vol. 10(20), pp. 4217-4225, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2181<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Anti-inflammatory evaluation of immature fruit and seed<br />

aqueous extracts from several populations of Tunisian<br />

Citrullus colocynthis Schrad<br />

Belsem Marzouk 1¥ *, Zohra Marzouk 2¥ , Ehsen Haloui 2 , Manel Turki 3 , Abderrahman Bouraoui 3 ,<br />

Mahjoub Aouni 1 and Nadia Fenina 2<br />

1 Laboratoire des Maladies Transmissibles et Substances Biologiquement Actives, Faculté de Pharmacie de Monastir,<br />

Rue AVICENNE 5000 Monastir, Tunisie.<br />

2 Unité de Pharmaco-économie et Développement des Médicaments, Laboratoires de Biologie Végétale et Laboratoire<br />

de Pharmacologie, Faculté de Pharmacie de Monastir, Tunisie.<br />

3 Unité de recherche URSAM, Laboratoire de Pharmacologie, Faculté de Pharmacie, Monastir, Tunisie.<br />

Accepted 21 February, 2011<br />

Plant extracts are some of the most attractive sources of new drugs and have shown promising results<br />

for the treatment of inflammation and immune-related diseases, including rheumatoid arthritis. Citrullus<br />

colocynthis Schrad. (Cucurbitaceae) endemic in Tunisia, is widely used in folk medicine to treat many<br />

inflammation disorders. The aim of this study is to quantify the alkaloid and the flavonoid levels of<br />

different populations of C. colocynthis fruit and seed aqueous extracts at immature state. After acute<br />

toxicity assay, these extracts were screened for anti-inflammatory activity using the carrageenaninduced<br />

paw edema assay in rats. Alkaloid and flavonoid levels vary among the population. The best<br />

anti-inflammatory activities were obtained with immature fruits from south Tunisia. Therefore, C.<br />

colocynthis Schrad. could be a potential useful product suitable for further evaluation for inflammatory<br />

diseases.<br />

Key words: Citrullus colocynthis Schrad., alkaloids, flavonoids, toxicity, anti-inflammatory, Tunisia.<br />

INTRODUCTION<br />

Since ancient times, several diseases have been treated<br />

by administration of plant extracts. Interest in ethnopharmacy<br />

as a source of active compounds has increased<br />

worldwide, particularly for the development of antiinflammatory<br />

drugs. Plants with analgesic and antiinflammatory<br />

activities have become more interesting<br />

because some of these plants are part of the arsenal of<br />

*Corresponding author. E-mail: belsemmarzouk@yahoo.fr. Tel:<br />

216 73 450 389.<br />

Abbreviations: TOF, Total oligomeric flavonoids; TLC, thin<br />

layer chromatography; ASL, acetyl salicylate of lysine.<br />

¥ These authors contributed equally.<br />

modern medicine and many people are aware of<br />

problems associated with the over-prescription and<br />

misuse of usual drugs.<br />

Citrullus colocynthis Schrad. (Cucurbitaceae), growing<br />

in Tunisia (Pottier-Alapetite, 1981), is widely used in<br />

Tunisian folk medicine for treating many diseases such<br />

as various contagious diseases, hypertension and<br />

rheumatism (Le Flock, 1983; Boukef, 1986). Anti-inflammatory<br />

traditional healers seem not to pay attention to the<br />

fruit’s degree of maturity and literature rarely mention if<br />

seeds are present in preparations involving ground<br />

fruit/pulp. Common preparations use juice, fresh or dried<br />

(often ground) fruit material. Extracts (maceration or<br />

boiling) are prepared either in water or in aqueous<br />

mixtures (honey, milk and water/olive oil at various ratios).<br />

Methods of administration are by ingestion or massage<br />

(Le Flock, 1983; Boukef, 1986; Bellakhdar, 1999; El-


4218 Afr. J. Biotechnol.<br />

Ghadi and Bshana, 1988).<br />

Some studies have demonstrated the medicinal effect<br />

of C. colocynthis Schrad. as anti-tumour (Tannin-Spitz et<br />

al., 2007), immunostimulant (Bendjeddou et al., 2003),<br />

anti-microbial (Marzouk et al., 2009, 2010a) and antioxidant<br />

(Marzouk et al., 2010b), and against hepatic diseases<br />

(Gebhardt, 2003), hyperglycaemia (Al-Gaithi et al., 2004)<br />

and hair loss (Roy et al., 2007).<br />

However, plants in the environment are exposed to a<br />

range of abiotic stresses like osmotic, salinity, temperature<br />

and heavy metal toxicity which affects their growth<br />

and other metabolic processes such as alkaloid and<br />

flavonoid productions. These secondary metabolites were<br />

synthesized by plants to defend themselves against the<br />

harmful action of external agents (Heller et al., 1993;<br />

Waller and Nowacki, 1978). Thus, alkaloid and flavonoid<br />

contents depend on the geographical distribution.<br />

In a previously published paper, C. colocynthis<br />

immature fruits and seeds were demonstrated as the<br />

most efficient analgesic and anti-inflammatory parts<br />

(Marzouk et al., 2010c). The current study measured in<br />

vivo toxicity and anti-inflammatory activity of seven<br />

populations of C. colocynthis Schrad. using mice and rat<br />

as models. Preparation and tests were carried out on the<br />

reconstituted lyophilized aqueous extracts.<br />

MATERIALS AND METHODS<br />

Plant materials<br />

C. colocynthis Schrad. plants were collected in August (2007) from<br />

seven stations (Table 1 and Figure 1). The identification was<br />

performed according to the flora of Tunisia (Pottier-Alapetite, 1981)<br />

and voucher specimens were deposited in the biological laboratory<br />

of the Faculty of Pharmacy of Monastir.<br />

Extraction protocol<br />

The extraction was performed on fresh immature fruits or seeds.<br />

Each plant part was ground with a mixer and added to distilled<br />

water. The mixture was allowed to reflux for 30 min, after which the<br />

solution was allowed to cool (4 h at 4°C). The mixture was then<br />

filtered using filter paper (Whatman no.1) under the vacuum of a<br />

water pump. The filtrate obtained was lyophilized, yielding the<br />

lyophilized aqueous extract. Yields are given in Table 2.<br />

Quantitative alkaloid screening<br />

Alkaloids were quantified according to the volumetric procedure of<br />

the Official Method of European Pharmacopoeia. Briefly, to 3 g of<br />

each dried plant parts, ammonium hydroxide (5 ml), ethanol (10 ml)<br />

and diethyl ether (30 ml) were successively added. After 4 h of<br />

maceration, the mixture was lixiviated by 150 ml of ether and 50 ml<br />

of chloroform. The obtained solution was reduced to 50 ml by a<br />

rotavapory (Heidolph) and then treated with sulphuric acid (0.5 N, 3<br />

x 20 ml). Bases were removed from the extract through precipitation<br />

with an excess of ammonium hydroxide (3 ml). The supernatant<br />

was then extracted with chloroform (3 x 10 ml). The precipitate<br />

containing alkaloids was separated by means of filtration and<br />

treated again with chloroform which was evaporated under low<br />

pressure. The presence of alkaloids was verified by Dragendorff’s<br />

reagent confirmed with Bouchardat’s and Meyer’s reagent (Treas<br />

and Evans, 1984). To the residue, 20 ml of sulphuric acid was<br />

added. The excess sulphuric acid was titrated with sodium<br />

hydroxide (0.02 N) using the phenolphthalein indicator. The<br />

percentage of total alkaloids was then calculated according to the<br />

following formula:<br />

Alkaloid level (%) = ((VH2SO4-V H2SO4ex) x 5.788 / W) x 100<br />

Where, VH2SO4 = 20 ml, V H2SO4ex = volume of excess sulphuric acid,<br />

W = 3 g and 1 ml of sulphuric acid correspond to 5.788 mg of<br />

alkaloids.<br />

Quantitative oligomeric flavonoid screening<br />

In order to obtain total oligomeric flavonoids (TOF), the powdered<br />

seeds were macerated separately for 24 h in a mixture of<br />

acetone/water (2:1). Each extract was then filtered and the acetone<br />

was evaporated under low pressure. Tannins were removed from<br />

the aqueous phase through precipitation with NaCl for 24 h at 5°C<br />

and the supernatant was then extracted with ethyl acetate,<br />

concentrated and precipitated with excess chloroform. The<br />

precipitate containing TOF was separated by means of filtration<br />

(Paris and Moyse, 1976). The presence of flavonoids was verified<br />

by the reaction of ‘cyanidine’ in the presence of hydrochloric acid<br />

and magnesium. After release of hydrogen, an orange colour with<br />

red purple indicates the presence of the flavonoids. The<br />

appearance of the spots corresponding to the flavonoids on the<br />

plates of thin layer chromatography (TLC) is done by pulverization<br />

using a solution of 2% AlCl3 in methanol. The plates of TLC are<br />

then observed under UV with 366 nm; the spots corresponding to<br />

the flavonoids have a yellow fluorescence at intense yellow<br />

fluorescence (Paris and Moyse, 1976). The percentage of total<br />

oligomer flavonoids was then calculated according to the following<br />

formula:<br />

Total oligomer flavonoids level (%) = (weight of total oligomer<br />

flavonoids / powdered material weight) x 100<br />

Animals<br />

Male adult Wistar rats weighing 160 to 180 g and Swiss albino mice<br />

(weighing 18 to 25 g) of both sex were obtained from Pasteur<br />

institute (Tunis, Tunisia). They were housed in polypropylene cages<br />

and were left for 2 days for acclimatization to animal room<br />

maintained under controlled condition (a 12 h light – dark cycle at<br />

22 ± 2°C) on standard pellet diet and water ad libitum. Before the<br />

day of assay, only the Wistar rats were fasted overnight with free<br />

access to water. Housing conditions and in vivo experiments<br />

approved according to the guidelines established by the European<br />

Union on Animal Care (CFE Council (86/609)) were used. The rats<br />

were used for the anti-inflammatory evaluation of the aqueous<br />

extracts, while the mice were used for the analgesic investigation<br />

and for the acute toxicity testing. Animals were divided into drugtreated<br />

‘test’ and saline-treated ‘control’ groups of six or eight<br />

animals per group.<br />

Acute toxicity<br />

For acute toxicity, mice were divided into groups of eight animals<br />

each. One group served as a control and received 0.9% NaCl alone<br />

(10 ml/kg) given intraperitoneally (i.p.), while the remaining groups<br />

were treated with increasing doses of the aqueous extract; 50, 100,


Table 1. Sites and voucher specimens of C. colocynthis Schrad. populations.<br />

Population Site Voucher specimens<br />

Hammamet Hammamet Sud (36°25 N, 10°34 W) C.C-07.07<br />

Mahdia Chorban (35°20 N, 10°32 W) C.C-06.07<br />

Kasserine Mozgam (35°11 N, 8°46 W) C.C-05.07<br />

Sbeitla Sbitla (35°14 N, 9°07 W) C.C-04.07<br />

Sidi-Bouzid Jelma (35°16 N, 9°25 W) C.C-03.07<br />

Sfax Skhira (34°10 N, 10°04 W) C.C-02.07<br />

Medenine Sidi Makhlouf (33°33 N, 10°27 W) C.C-01.07<br />

N: North; W: west.<br />

Figure 1. Geographical map of Tunisia.<br />

250, 500, 750, 1000, 1500, 2000, 3000 and 4000 mg/kg (i.p.),<br />

respectively.<br />

The mortality rate within a 48 h period was determined and the<br />

LD50 was estimated according to the method described by Miller<br />

and Tainter (1944). According to the results of acute toxicity test,<br />

doses were chosen for pharmacological evaluations. After the last<br />

observation, the mice were killed and the liver, lungs, heart, spleen<br />

and kidneys were withdrawn, weighed and stored for next<br />

evaluations.<br />

Anti-inflammatory activity<br />

The anti-inflammatory activity was assessed on the basis of<br />

Marzouk et al. 4219<br />

inhibition of paw edema induced by the injection of carrageenan (an<br />

edematogenic agent) into the subplantar region of the right hind<br />

paw of the rat (Winter et al., 1962). Male Wistar rats were divided<br />

into different groups of eight animals. The control group received<br />

2.5 ml/kg of saline, the standard group received the reference drug<br />

(acetyl salicylate of lysine (ASL), 300 mg/Kg) and the test groups<br />

received different population extracts of C. colocynthis at a dose of<br />

1 and 4 mg/kg. Thirteen minutes after intraperitoneal administration<br />

of different substances, 0.05 ml of 1% of carrageenan suspension<br />

was injected into all animals in the right hind paw.<br />

The paw volume, up to tibiotarsal articulation, was measured<br />

using a plethysmometer. The measures were determined at 0 h (V0:<br />

before edematogenic agent injection) and 1, 2, 3, 4, 5, 6 and 24 h<br />

intervals later (VT). The difference between VT (1, 2, 3, 4, 5, 6 and


4220 Afr. J. Biotechnol.<br />

Table 2. Extraction yields (w/w %), alkaloid and oligomeric flavonoid levels (%) and LD50 (mg/Kg) of different populations of C. colocynthis Schrad. seeds and fruits.<br />

Population of Citrullus colocynthis Schrad.<br />

Parameter Hammamet Mahdia Kasserine Sbeitla Sidi-Bouzid Sfax Medenine<br />

Seeds Fruits Seeds Fruits Seeds Fruits Seeds Fruits Seeds Fruits Seeds Fruits Seeds Fruits<br />

Extraction yields 1.68 0.93 1.90 1.70 2.88 2.94 1.93 2.68 1.76 2.44 2.15 2.81 2.94 2.76<br />

Alkaloid levels 2.01 1.57 3.10 2.08 2.74 1.61 2.48 1.55 2.90 1.71 3.90 2.86 3.87 2.90<br />

Flavonoid levels 0.24 - 0.18 - 0.18 - 0.20 - 0.17 - 0.13 - 0.10 -<br />

LD50 2043.84 795.45 818.61 749.97 653.51 750.03 1535.21 799.64 2298.48 795.49 438.62 385.54 744.15 553.73<br />

24 h) and V0 was taken as the edema value. The<br />

percentage of inhibition was calculated according to the<br />

following formula:<br />

Percentage inhibition = ((VT-V0) control – (VT-V0) treated group) x<br />

100 / (VT-V0) control<br />

Statistical analysis<br />

Data obtained from animal experiments were expressed as<br />

mean ± S.E.M. and as percentage. Results were statistically<br />

evaluated by ANOVA and using student’s t-test.<br />

P ≤ 0.05 were considered significant.<br />

RESULTS<br />

Extraction yields<br />

After all population (Table 1 and Figure 1)<br />

extractions, experimental results (Table 2) reveal<br />

that seeds and fruits from Kasserine, Sfax and<br />

Medenine have significantly more higher extraction<br />

yields than the other population plant parts.<br />

Hammamet population showed the lowest yield.<br />

Quantitative alkaloid and oligomeric flavonoid<br />

screening<br />

Alkaloid presence was reported in all C.<br />

colocynthis organs (immature seeds and fruits<br />

whose alkaloids are quantified in this study)<br />

except the roots (Marzouk et al., 2009). Results<br />

(Table 2) were dependent upon the population.<br />

Sfax (3.90 and 2.86%, respectively, for seeds and<br />

fruits) and Medenine (3.87 and 2.90% correspondingly,<br />

for seeds and fruits) populations<br />

contained more alkaloids, but Hammamet organs<br />

presented the lowest amounts of it. Differences<br />

were also noted between plant parts: seeds<br />

showed better percentage (from 2.01 to 3.90%)<br />

than fruits (from 1.55 to 2.90%). Flavonoids which<br />

are only detected in seeds (Marzouk et al., 2009)<br />

were present just at low levels (from 0.10 to<br />

0.24%, Table 2). Hammamet was the richest<br />

population in these components.<br />

Toxicity studies<br />

Swiss-albino mice were observed for 48 h and<br />

morbidity and/or mortality were recorded, for each<br />

group at the end of observation period. Due to<br />

death index, the LD50 of all extracts were<br />

determined (Table 2). This value is in relation with<br />

plant parts and also with origin states. The LD50 of<br />

seeds ranged from 438.62 mg/kg (Sfax<br />

population) to 2298.48 mg/kg (Sidi-Bouzid<br />

population). For the C. colocynthis fruits, Sfax<br />

population had the lowest LD50 (385.54 mg/kg)<br />

and that of Sbeitla was evaluated as the less toxic<br />

(LD50 = 799.64 mg/kg). Except Kasserine<br />

population, immature seeds were less toxic than<br />

immature fruits. C. colocynthis seeds and fruits<br />

from Sfax seem to be the most toxic plant parts of<br />

all. Regarding the LD50, the quantitative alkaloid<br />

and oligomeric flavonoid screening, this toxicity<br />

could be, probably, attributed to the alkaloid<br />

levels.<br />

Anti-inflammatory effect<br />

In carrageenan-induced rat paw edema, all extracts<br />

produced a significant reduction of the edema<br />

throughout the entire period of observation<br />

(Tables 3 and 4). The intraperitoneal administration<br />

of the aqueous extracts of seeds and fruits<br />

significantly reduced the paw edema induced by<br />

the noxious agent. This inhibition differs with the<br />

plant part aqueous extract and its origin state. For<br />

this second assessment of the anti-inflammatory<br />

activity, the obtained results demonstrated that<br />

the reduction of the paw edema vary in a dose<br />

dependent fashion with its maximum at 4 mg/kg.<br />

On the contrary, at 1 mg/kg, only a weak to<br />

moderate activities were noted. In terms of plant<br />

parts, immature fruits showed better activity than<br />

immature seeds. Experimental results, at 4 mg/kg,<br />

reveal that the anti-inflammatory effect seems to<br />

remain moderate with Mahdia seeds and<br />

Hammamet fruits which showed a very weak<br />

property during the first phase and increase


Table 3. Effects of different populations of C. colocynthis Schrad. seed aqueous extracts and reference drug on carrageenan-induced paw edema.<br />

Seed population Dose (mg/Kg)<br />

Mean swelling thickness (10-2) ± S.E.M. (% inhibition)<br />

1 h 2 h 3 h 4 h 5 h 6 h 24 h<br />

Marzouk et al. 4221<br />

C1 - 15.00±1.76 34.50±4.33 57.00±6.22 61.50±6.42 67.00±7.37 71.00±6.39 40.50±5.84<br />

C2 - 33.00±3.66 48.00±4.77 61.50±7.20 76.25±7.37 95.00±9.20 106.25±9.85 77.75±6.66<br />

C3 - 15.00±1.76 24.00±2.66 49.00±4.77 57.50±5.56 59.50±5.25 64.50±8.20 32.50±3.51<br />

Hammamet 1<br />

(C1)<br />

4<br />

(C2)<br />

Mahdia 1<br />

(C2)<br />

4<br />

(C2)<br />

Kasserine 1<br />

(C2)<br />

4<br />

(C2)<br />

Sbeitla 1<br />

(C1)<br />

4<br />

(C2)<br />

Sidi-Bouzid 1<br />

(C3)<br />

4<br />

(C2)<br />

Sfax 1<br />

(C1)<br />

4<br />

(C2)<br />

14.00±1.41 ns<br />

(6.67)<br />

15.75±0.96***<br />

(52.27)<br />

33.00±0.82 ns<br />

(0.00)<br />

27.00±1.15***<br />

(18.18)<br />

23.75±1.71***<br />

(28.03)<br />

12.75±0.96***<br />

(61.36)<br />

20.00±1.63***<br />

(39.39)<br />

18.00±0.82***<br />

(45.45)<br />

14.00±1.41 ns<br />

(6.67)<br />

14.50±1.29***<br />

(56.06)<br />

15.00±2.45 ns<br />

(0.00)<br />

14.75±1.50***<br />

(55.30)<br />

30.50±1.91*<br />

(11.59)<br />

22.50±1.29***<br />

(53.13)<br />

40.25±1.26***<br />

(16.15)<br />

35.25±0.96***<br />

(26.56)<br />

31.00±1.41***<br />

(35.42)<br />

18.50±1.29***<br />

(61.45)<br />

25.00±1.15***<br />

(47.91)<br />

22.00±2.16***<br />

(54.17)<br />

16.75±2.52***<br />

(30.21)<br />

20.00±2.16***<br />

(58.33)<br />

31.50±2.38 ns<br />

(8.69)<br />

19.75±0.96***<br />

(58.85)<br />

44.25±2.75***<br />

(22.37)<br />

20.50±0.58***<br />

(66.66)<br />

33.00±0.82***<br />

(46.34)<br />

32.00±1.41***<br />

(47.97)<br />

29.00±2.16***<br />

(52.85)<br />

23.50±1.29***<br />

(61.79)<br />

28.50±1.29***<br />

(53.66)<br />

25.75±1.71***<br />

(58.13)<br />

33.25±2.16***<br />

(32.14)<br />

24.50±1.29***<br />

(60.16)<br />

44.25±2.75***<br />

(22.37)<br />

23.50±2.52***<br />

(61.79)<br />

46.75±3.10***<br />

(23.98)<br />

19.00±1.41***<br />

(75.08)<br />

31.00±2.31***<br />

(59.34)<br />

26.75±1.26***<br />

(64.92)<br />

32.50±2.52***<br />

(57.38)<br />

24.00±0.82***<br />

(68.52)<br />

35..00±0.82***<br />

(54.10)<br />

26.75±1.71***<br />

(64.92)<br />

31.75±1.29***<br />

(44.78)<br />

28.00±0.82***<br />

(63.28)<br />

47.00±3.16***<br />

(23.58)<br />

28.00±0.82***<br />

(63.28)<br />

36.00±2.16***<br />

(46.27)<br />

22.75±0.96***<br />

(76.05)<br />

30.50±0.58***<br />

(67.89)<br />

29.75±0.96***<br />

(68.68)<br />

34.50±1.91***<br />

(63.68)<br />

29.00±0.82***<br />

(69.47)<br />

30.50±1.73***<br />

(67.89)<br />

25.75±1.71***<br />

(72.89)<br />

34.50±1.29***<br />

(43.69)<br />

24.25±2.06***<br />

(74.47)<br />

53.00±1.83***<br />

(20.89)<br />

28.75±0.96***<br />

(69.74)<br />

32.00±2.16***<br />

(54.93)<br />

21.75±0.96***<br />

(79.53)<br />

27.00±0.82***<br />

(74.59)<br />

25.75±0.96***<br />

(75.76)<br />

28.25±2.06***<br />

(73.41)<br />

19.00±1.41***<br />

(82.12)<br />

30.00±1.63***<br />

(71.76)<br />

18.25±0.96***<br />

(82.82)<br />

29.50±3.41***<br />

(54.26)<br />

23.00±2.16***<br />

(78.35)<br />

49.50±1.91***<br />

(25.00)<br />

20.50±1.29***<br />

(80.71)<br />

18.25±1.71***<br />

(54.94)<br />

14.00±0.82***<br />

(81.99)<br />

20.50±0.58***<br />

(73.63)<br />

17.75±0.96***<br />

(77.17)<br />

24.50±1.29***<br />

(68.49)<br />

13.75±0.50***<br />

(82.31)<br />

24.50±1.29***<br />

(68.49)<br />

12.75±0.96***<br />

(83.60)<br />

14.50±1.29***<br />

(55.38)<br />

16.00±0.82***<br />

(79.42)<br />

28.00±0.82***<br />

(30.86)<br />

8.75±1.71***<br />

(88.75)


4222 Afr. J. Biotechnol.<br />

Table 3. Contd.<br />

Seed population Dose (mg/Kg)<br />

Medenine<br />

1<br />

(C3)<br />

4<br />

(C3)<br />

ASL 300<br />

(C1)<br />

Mean swelling thickness (10-2) ± S.E.M. (% inhibition)<br />

1 h 2 h 3 h 4 h 5 h 6 h 24 h<br />

14.50±2.89 ns<br />

19.25±2.21** 33.25±2.21*** 32.50±2.38*** 39.00±3.91*** 29.25±3.86*** 14.25±0.96***<br />

(3.33)<br />

(19.79) (32.14) (43.48) (34.45) (54.65) (56.15)<br />

1.75±0.96*** 2.00±0.82*** 3.50±0.58*** 1.50±1.29*** 2.50±1.29*** 1.25±0.50*** 0.75±0.95***<br />

(88.33) (91.66) (92.86) (97.40) (95.80) (98.06) (97.69)<br />

7.25±0.96***<br />

(51.66)<br />

14.25±1.71***<br />

(58.69)<br />

17.50±2.38***<br />

(69.30)<br />

15.75±2.22***<br />

(74.40)<br />

19.50±2.08***<br />

(70.89)<br />

19.50±1.29***<br />

(72.53)<br />

23.75±1.71***<br />

(41.36)<br />

C1,: Control 1; C2, control 2; C3, control 3; 1 (C1) and 4 (C1), in comparison with control 1; 1 (C2) and 4 (C2), in comparison with control 2; 1 (C3) and 4 (C3), in comparison with control 3.<br />

Values are expressed as mean ± M.S.E. (n = 8); *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 significant from the control; ns, not significant from the control; ASL, acetyl salicylate of lysine.<br />

Table 4. Effects of different populations of C. colocynthis Schrad. fruit aqueous extracts and reference drug on carrageenan-induced paw edema.<br />

Fruit population Dose (mg/kg)<br />

Mean swelling thickness (10-2) ± S.E.M. (% inhibition)<br />

1 h 2 h 3 h 4 h 5 h 6 h 24 h<br />

C1 - 15.00±1.76 34.50±4.33 57.00±6.22 61.50±6.42 67.00±7.37 71.00±6.39 40.50±5.84<br />

C2 - 33.00±3.66 48.00±4.77 61.50±7.20 76.25±7.37 95.00±9.20 106.25±9.85 77.75±6.66<br />

C3 - 15.00±1.76 24.00±2.66 49.00±4.77 57.50±5.56 59.50±5.25 64.50±8.20 32.50±3.51<br />

Hammamet 1<br />

15.00±2.45<br />

(C1)<br />

ns<br />

31.75±1.26* 46.50±2.08*** 47.00±3.16*** 53.00±1.83*** 53.25±3.20*** 18.00±0.82***<br />

(0.00) (7.97) (18.42) (23.58) (20.90) (30.28) (30.86)<br />

4<br />

(C2)<br />

Mahdia 1<br />

(C2)<br />

4<br />

(C2)<br />

Kasserine 1<br />

(C1)<br />

4<br />

(C2)<br />

Sbeitla 1<br />

(C2)<br />

4<br />

(C2)<br />

24.00±0.82***<br />

(27.27)<br />

18.75±0.96 ***<br />

(43.18)<br />

17.00±0.82***<br />

(48.48)<br />

10.50±1.71***<br />

(30.00)<br />

17.75±0.96***<br />

(46.21)<br />

23.50±1.73***<br />

(28.79)<br />

19.25±0.96***<br />

(41.67)<br />

27.00±0.82***<br />

(43.75)<br />

24.75±1.26***<br />

(48.44)<br />

22.75±1.71***<br />

(52.60)<br />

23.25±1.41***<br />

(32.61)<br />

24.25±0.96***<br />

(49.48)<br />

26.50±1.29***<br />

(44.79)<br />

22.50±1.29***<br />

(53.13)<br />

31.00±0.58***<br />

(49.59)<br />

31.25±0.96***<br />

(49.19)<br />

27.5±0.58***<br />

(55.28)<br />

33.25±2.08***<br />

(41.67)<br />

29.75±1.71***<br />

(51.63)<br />

33.25±2.21***<br />

(45.93)<br />

22.75±2.06***<br />

(63.01)<br />

23.00±0.82***<br />

(69.84)<br />

30.50±1.29***<br />

(60.00)<br />

27.75±1.71***<br />

(63.61)<br />

27.00±0.82***<br />

(56.10)<br />

24.00±1.41***<br />

(68.52)<br />

32.50±2.38***<br />

(57.38)<br />

25.25±1.71***<br />

(66.89)<br />

23.75±0.96***<br />

(75.00)<br />

32.50±2.08***<br />

(65.79)<br />

22.50±0.58***<br />

(76.32)<br />

36.00±2.16***<br />

(46.27)<br />

23.00±1.86***<br />

(75.79)<br />

30.50±1.73***<br />

(67.89)<br />

22.00±2.16***<br />

(76.84)<br />

15.75±0.96***<br />

(85.18)<br />

25.50±2.08***<br />

(76.00)<br />

20.50±0.58***<br />

(80.71)<br />

32.00±2.06***<br />

(54.93)<br />

17.50±1.29***<br />

(83.53)<br />

30.00±1.63***<br />

(71.76)<br />

16.00±0.82***<br />

(84.94)<br />

11.25±0.96***<br />

(85.83)<br />

17.25±0.96***<br />

(77.81)<br />

14.25±0.96***<br />

(81.67)<br />

13.00±1.15***<br />

(67.90)<br />

12.75±0.50***<br />

(83.60)<br />

24.50±1.29***<br />

(68.49)<br />

11.25±0.96***<br />

(85.53)


Table 4. Contd.<br />

Sidi-Bouzid 1<br />

(C3)<br />

4<br />

(C2)<br />

Sfax 1<br />

(C2)<br />

4<br />

(C2)<br />

Medenine 1<br />

(C3)<br />

4<br />

(C3)<br />

ASL 300<br />

(C1)<br />

14.50±2.89 ns<br />

(3.34)<br />

18.25±1.71***<br />

(44.96)<br />

33.00±2.08 ns<br />

(0.00)<br />

14.50±3.11***<br />

(56.06)<br />

13.25±2.22<br />

(11.67)<br />

1.50±0.57***<br />

(90.00)<br />

7.25±0.96***<br />

(51.66)<br />

21.75±1.50***<br />

(9.38)<br />

22.50±1.29***<br />

(53.13)<br />

40.25±1.26***<br />

(16.14)<br />

16.75±0.96***<br />

(65.10)<br />

16.75±3.30**<br />

(30.21)<br />

1.75±0.96***<br />

(92.71)<br />

14.25±1.71***<br />

(58.69)<br />

42.75±2.16***<br />

(12.76)<br />

26.00±0.82***<br />

(57.72)<br />

43.75±1.26***<br />

(43.50)<br />

20.75±1.71***<br />

(66.26)<br />

29.00±2.16***<br />

(40.82)<br />

2.75±0.50***<br />

(94.39)<br />

17.50±2.38***<br />

(69.30)<br />

37.50±2.38***<br />

(34.78)<br />

25.75±1.71***<br />

(66.23)<br />

32.50±2.52***<br />

(57.38)<br />

15.75±1.50***<br />

(79.34)<br />

31.75±3.86***<br />

(44.78)<br />

1.75±0.96***<br />

(97.65)<br />

15.75±2.22***<br />

(74.40)<br />

39.00±1.29***<br />

(34.45)<br />

21.50±2.08***<br />

(77.37)<br />

34.50±1.92***<br />

(63.68)<br />

17.50±0.58***<br />

(81.58)<br />

34.50±1.29***<br />

(42.02)<br />

2.75±0.96***<br />

(95.38)<br />

19.50±2.08***<br />

(70.89)<br />

29.25±2.08***<br />

(54.65)<br />

21.00±2.54***<br />

(80.24)<br />

27.00±0.82***<br />

(74.59)<br />

14.75±1.26***<br />

(86.12)<br />

21.75±3.95***<br />

(66.28)<br />

0.75±0.96***<br />

(98.84)<br />

19.50±1.29***<br />

(72.53)<br />

Marzouk et al. 4223<br />

17.75±1.71***<br />

(45.38)<br />

5.75±0.25***<br />

(92.60)<br />

24.50±1.29***<br />

(68.49)<br />

5.50±0.50***<br />

(92.93)<br />

16.75±2.22***<br />

(48.46)<br />

0.50±0.58***<br />

(98.46)<br />

23.75±1.71***<br />

(41.36)<br />

C1: Control 1; C2: Control 2; C3: Control 3; 1 (C1) and 4 (C1): in comparison to control 1; 1 (C2) and 4 (C2): in comparison to control 2; 1 (C3) and 4 (C3): in comparison to control 3; Values are<br />

expressed as mean ± M.S.E. (N=8); *p ≤ 0.05, **≤0.01, ***≤0.001 significant from the control; ns: not significant from the control; ASL: Acetyl Salicylate of Lysine.<br />

significantly at the second one, the other populations<br />

throughout the experiment, showed an<br />

important effect. This difference may be correlated<br />

to the process of synergism or antagonism<br />

between all extract components (Marzouk et al.,<br />

2009). With all extracts, 3 h after carrageenan<br />

injection, the anti-inflammatory activity instigated<br />

unambiguous increase to attain the maximum<br />

level at 6 and 24 h. The inhibition percentages range<br />

at 6 and 24 h respectively, are from 75.76 to<br />

98.06% and from 77.17 to 97.69% for seeds and<br />

from 80.24 to 98.84% and 81.67 to 98.46% for<br />

fruits. South Tunisia aqueous extracts (at 4<br />

mg/kg) were strongly more active than the other<br />

population (1 to 6 h) and seem to have close<br />

values after 24 h after the carrageenan injection.<br />

The highest activity was found for immature fruit<br />

extract from Medenine. Standard drug decreased<br />

paw edema by a maximum of 74.39% after 4 h.<br />

DISCUSSION<br />

This is the first study evaluating the in vivo acute<br />

toxicity and the anti-inflammatory activities of<br />

extracts from different population of Tunisian C.<br />

colocynthis immature fruits and seeds.<br />

The study clarified complexes of biodiversity<br />

pictures in terms of plant parts and plant geographical<br />

distribution. Results previously obtained<br />

(Marzouk et al., 2010c) showed the importance of<br />

immature seeds and fruits. Fruits and seeds<br />

differed, as made obvious by their extraction<br />

yields, analgesic and anti-inflammatory activeties.<br />

The present investigation showed, in addition, that<br />

for a given plant part, the intensity of the pharmacological<br />

activity can change from a population to<br />

another. The trend for all the populations to have<br />

higher activity for immature fruit aqueous extracts<br />

and immature seeds points towards various<br />

active, potential or antagonistic compounds present<br />

in various concentrations according to the plant


4224 Afr. J. Biotechnol.<br />

population, especially flavonoids and alkaloids. These<br />

two phytochemical key families are quantified and the<br />

results indicated that the geographical distribution of C.<br />

colocynthis Schrad. influenced second metabolite levels<br />

and subsequently their toxicity and biological activities.<br />

Based on the LD50 calculation, the acute administration<br />

doses of all population aqueous extracts were estimated<br />

(1 and 4 mg/kg). Carrageenan has been widely used as a<br />

noxious agent which is able to induce experimental<br />

inflammation for the screening of compounds possessing<br />

anti-inflammatory activity. This phlogistic agent, when<br />

injected locally into the rat paw, produced a severe<br />

inflammatory reaction, which was discernible within 30<br />

min (John and Nodine, 1999). The development of<br />

edema induced by carrageenan is a biphasic event: The<br />

early phase (90 to 180 min) of the inflammation is due to<br />

the release of histamine, serotonin and similar substances.<br />

The later phase (270 to 360 min) is associated<br />

with the activation of kinin-like substances and the<br />

release of prostaglandins, proteases and lysosome<br />

(Olajide et al., 1999). All population extracts inhibited hind<br />

paw edema and showed a dose-dependent anti-inflammatory<br />

activity but the results were different for each<br />

population plant parts depending on the early/later<br />

phases. All tested extracts inhibited both the phases of<br />

the carrageenan-induced edema by reducing the release<br />

of histamine and serotonin and also the kinin-like substances<br />

and prostaglandins. Pharmacological properties<br />

of all C. colocynthis Schrad. populations may be attributed<br />

to a possible molecular mechanism by effectively<br />

decreasing the production of the pro-inflammatory<br />

cytokines like IL-6 and IL-1β and the expression of COX-<br />

2, and simultaneously elevating the level of anti-inflammatory<br />

cytokine IL-4 in the carrageenan-injected rat paw<br />

tissues (Moulin and Coquerel, 2002).<br />

Differences in the LD50 and the anti-inflammatory<br />

efficacy are related to the plant population compositions.<br />

Alkaloids and flavonoids found in C. colocynthis plant part<br />

were dependent upon the population. At any rate, these<br />

results indicate that the anti-inflammatory activities could<br />

not be imputed to one family of phytochemicals only (or<br />

its absence). Alkaloids are commonly found to have antiinflammatory<br />

properties (Moulin and Coquerel, 2002).<br />

Flavonoids (detected in all the seed extracts) are known<br />

to have the same activities (Borgi et al., 2008). However,<br />

alkaloids and flavonoids cannot be only responsible for<br />

the pharmacological effect. Steroids and iridoids which<br />

are present in this plant (Marzouk et al., 2009) may<br />

contribute to better performance as an anti-inflammatory<br />

agent (Bames and Adcock, 2009). Differences found<br />

between the seven populations tested, in the alkaloid and<br />

flavonoid levels, in the toxicity and in the pharmacological<br />

activities, may be attributed to the climatic conditions and<br />

soils.<br />

But, despite the complexity of the chemistry of the<br />

inorganic and organic nature, it is possible to find some<br />

general trends like genetics and breeders which are more<br />

and more interested in the link between genetic factors<br />

and phenotypic variation of qualitative and quantitative<br />

composition.<br />

With these anti-inflammatory property, C. colocynthis<br />

Schrad., the Tunisian population, can be considered an<br />

effective agent to treat inflammation diseases. Immature<br />

seeds and fruits demonstrated a high activity at very low<br />

aqueous extract doses (1 and 4 mg/kg). The study<br />

corroborated the pharmacological effects of this species,<br />

justified and supported scientifically, the use of C.<br />

colocynthis as an anti-inflammatory agent to treat pain<br />

and rheumatoid arthritis. Additional studies are ongoing<br />

to confirm this C. colocynthis Schrad. properties with<br />

other models. Further, attempts are made to isolate and<br />

define the active anti-inflammatory fractions and its<br />

components.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4226-4233, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB07.500<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Effects of artemether on the plasma and urine<br />

concentrations of some electrolytes in rats<br />

R.O. Akomolafe 1 *, I.O. Adeoshun 1 , J.B. Fakunle 2 , E.O. Iwalewa 3 , A.O. Ayoka 1 , O.E. Ajayi 1 , O.M.<br />

Odeleye 4 and B.O. Akanji 5<br />

1 Department of Physiological Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.<br />

2 Department of Chemical Pathology, Obafemi Awolowo University, Ile-Ife, Nigeria.<br />

3 Department of Pharmacology, Obafemi Awolowo University, Ile-Ife, Nigeria.<br />

4 Department of Pharmacognosy, Obafemi Awolowo University, Ile-Ife, Nigeria.<br />

5 Department of Chemical Pathology, Obafemi Awolowo University Teaching Hospital Complex, Ile-Ife, Nigeria.<br />

Accepted 24 March, 2011<br />

This study was carried out to determine the changes in the urine levels of sodium (Na + ), potassium (K + ),<br />

and calcium (Ca 2+ ) of rats during a week of intramuscular administration of artemether (12.5 to 50.0<br />

mg/kg/day), another one week thereafter and their concentrations in the plasma at the end of the study.<br />

At 12.5 and 25.0 mg/kg of artemether, urine Na + concentration was significantly increased throughout<br />

the study (p < 0.05), except on Day 7 (at 12.5 mg/kg) and Day 11 (at 25.0 mg/kg), when it was not<br />

significantly different from the control. At 12.5 mg/kg of the drug, urine K + concentration was<br />

significantly increased throughout the study (p < 0.05). Artemether caused no significant changes in<br />

urine Ca 2+ concentration in the control rats as well as those that received 12.5 and 25.0 mg/kg of<br />

artemether. Progressive and significant reductions in the urine concentrations of all the electrolytes at<br />

50.0 mg/kg of artemether were observed. Their concentrations in the plasma were also significantly<br />

reduced at this dose of the drug. A dose-dependent degeneration of the renal tissue of all the<br />

experimental rats was also observed. We concluded that high doses of artemether caused progressive<br />

degeneration of the renal tissue of rats, inability of the damaged kidneys to concentrate urine, which<br />

manifested as excessive water loss and electrolyte depletion.<br />

Key words: Artemether, electrolytes in plasma, urine concentrations, rats.<br />

INTRODUCTION<br />

Artemether, one of the derivatives of artemisinin, is<br />

reputed for its efficacy in the treatment of malaria,<br />

including those resulting from infection by chloroquineresistant<br />

strains of plasmodium (Qinghaosu antimalarial<br />

coordinating research group, 1979; China cooperative<br />

research group on Qinghaosu and its derivatives as antimalarials,<br />

1982). Though in combination with other antimalarials,<br />

it is gaining ground as one of the first lines of<br />

treatment of cerebral malaria caused by chloroquineresistant<br />

plasmodium (Van Vugt et al., 1999; Nosten et<br />

al., 2000). It has been reported that intramuscular administration<br />

of multiple doses of the drug to dogs, rats<br />

and rhesus monkeys produced neurotoxic effects such as<br />

*Corresponding author. E-mail: rufakom@yahoo.co.uk.<br />

gait disturbances, loss of spinal and pain reflexes (Petras<br />

et al., 1997; Sumalee et al., 1997; Nontprasert et al.,<br />

1998; 2000; Xiao et al., 2002). High doses of artemether<br />

were also reported to have caused neuronal necrosis in<br />

the region of the brainstem of rats (Raymond et al., 1998;<br />

Xiao et al., 2002). Anorexia and a dose-dependent<br />

reduction in body weight have also been reported at<br />

these high doses (Qigui et al., 1998). We have studied<br />

the changes in some of the visceral functions of Wistar<br />

rats following one week of intramuscular administration of<br />

12.5 to 50.0 mg/kg of artemether (Akomolafe et al.,<br />

2006). We reported a pattern of anorexia which<br />

manifested as a significant reduction in the food and<br />

water intake of all the treated rats. This was accompanied<br />

by significant increases in their urine output. These<br />

effects persisted until even one week after the stoppage<br />

of drug administration in those rats that received 50.0


mg/kg of the drug, whereas those that received lower<br />

doses had only their food intake restored during this<br />

period (Akomolafe et al., 2006). We concluded that the<br />

significant increase in urine output without a corresponding<br />

increase in the water intake of the rats could<br />

exacerbate dehydration and lead to a deleterious effect<br />

on the ionic balance of the body fluid of the rats<br />

(Akomolafe et al., 2006). We also postulated that high<br />

doses of artemether could cause impaired renal function<br />

of the treated rats and that the significant increase in<br />

urine output could be due to other effects of the drug on<br />

thirst, anti-diuretic hormone output and the osmotic<br />

pressure of their blood (Akomolafe et al., 2006). The<br />

plasma levels of some electrolytes namely sodium (Na + ),<br />

potassium (K + ), and calcium (Ca 2+ ) are very important for<br />

the proper functioning of the neuromuscular and<br />

cardiovascular systems (Guyton and Hall, 2001; Ganong,<br />

2003). Excessive loss of these ions form the body<br />

through urine stool or sweat could have serious<br />

deleterious effects on these two systems likewise their<br />

excessive retention (Guyton and Hall, 2001; Ganong,<br />

2003). There is a dearth of information on the influence of<br />

artemether on the plasma and urine levels of these<br />

important electrolytes of the body fluid in laboratory<br />

animals, especially rats. This study was carried out to<br />

determine the effects of artemether on the plasma and<br />

urine levels of Na + , K + , and Ca 2+ of rats with a view to<br />

shedding more light on its toxicity in their body fluid and<br />

renal tissue.<br />

MATERIALS AND METHODS<br />

Experimental animals<br />

Eighty adult Wistar rats (200 to 250 g) were used for this study. The<br />

rats were obtained from the Animal Holding of the Department of<br />

Physiological Sciences, Obafemi Awolowo University, Ile-Ife,<br />

Nigeria. They were kept in the laboratory under natural light/dark<br />

cycle and were fed on normal mouse cubes (Ladokun feeds,<br />

Ibadan, Nigeria) and water. The rats were divided into four groups<br />

labeled I, II, III and IV. Each of the groups consisted of twenty rats,<br />

ten males and ten females. Each of the rats was housed in a<br />

separate metabolic cage (Ohaus R Model; Ohaus, Pine Brook, NJ,<br />

USA) with access to food and water ad libitum. The rats were<br />

acclimatized for 2 weeks before the commencement of the<br />

experiments.<br />

Drug administration<br />

Injectable form of artemether (80 mg/ml) manufactured by Kunming<br />

Pharmaceutical Factory, Kunming, People’s Republic of China) was<br />

dispensed in 1 ml ampoules for intramuscular injection.<br />

Dose regimens<br />

Each rat in Group I that weighed 250 g was given 0.16 ml of normal<br />

saline (equivalent to the volume of the drug that was administered<br />

to each 250 g rat that received 50.0 mg/kg/day) for 1 week. This<br />

group served as the control. Each of the rats in Groups II, III and IV<br />

Akomolafe et al. 4227<br />

received 12.5, 25.0 and 50.0 mg/kg/day of artemether respectively<br />

via the intramuscular route for 1 week.<br />

Urine samples were collected into clean specimen bottles for 24<br />

h on the day before the commencement of drug administration and<br />

this was taken as the Day 0 urine for each of the rats. This<br />

procedure was repeated for Days 3, 7, 11 and 14 of the study, that<br />

is, one week of drug administration and another one week later.<br />

The concentrations of Na + , K + and Ca 2+ in the samples were<br />

measured. The urine concentrations of Na + and K + were determined<br />

by Flame Photometry using Coming 410C Flame Photometer. The<br />

Ca 2+ level was measured using Cresolphthalein Complexone<br />

method (Burtis and Ashwood, 2001).<br />

On Day 14, the rats were sacrificed under chloroform anaesthesia.<br />

A midline incision was made with a surgical blade to expose<br />

the abdominal organs. Blood was collected from the hearts of the<br />

rats by cardiac puncture and delivered into lithium heparinized<br />

specimen bottle. A new syringe was used for the collection of blood<br />

from each rat; the blood was immediately centrifuged at 3000<br />

revolutions per minute for 20 min. The plasma was thereafter<br />

separated into a specimen bottle in readiness for analysis. The<br />

concentrations of Na + , K + , and Ca 2+- in the samples were<br />

determined using the same methods that were used in the analysis<br />

of urine.<br />

The rats kidneys were dissected out and kept inside 10%<br />

formalin until their sections were cut and stained with eosin and<br />

hematoxylin for histological studies. Photomicrographs of the<br />

tissues were taken using Lect3 Dialux Microscope (Bright Field) at<br />

×40 magnification.<br />

Statistical analysis<br />

The results were expressed as mean ± SEM and subjected to oneway<br />

analysis of variance (ANOVA). Significant differences were<br />

further tested by the Duncan’s Multiple Range and Student Neuman<br />

Keuls tests. Student’s t-test was used to compare the urine<br />

concentration of the electrolyte for each day with the Day 0 value<br />

for each group. Differences with probability values of p < 0.05 were<br />

considered significant.<br />

RESULTS<br />

Effect of artemether on urine concentration of<br />

electrolytes<br />

Sodium (Na + ): Throughout the study, there was no<br />

significant change in the concentration of Na + in the urine<br />

of the control rats (Figure 1). At 12.5 and 25.0 mg/kg,<br />

urine Na + concentration was significantly higher than the<br />

Day 0 value and the control rats throughout the study (p <<br />

0.05), except on Day 7 (at 12.5 mg/kg) and Day 11 (at<br />

25.0 mg/kg), when it was not significantly different from<br />

these values. At 50.0 mg/kg, the urine Na + concentration<br />

decreased gradually and significantly throughout the<br />

study (p < 0.05).<br />

Potassium (K + ): The K + concentration in the urine of the<br />

control rats did not vary significantly throughout the study<br />

(Figure 2). At 12.5 mg/kg, K + concentration in the urine<br />

was significantly higher than that of the control rats and<br />

that of the Day 0 value throughout the study (p < 0.05).<br />

At 25.0 mg/kg, there was no significant change in K +


4228 Afr. J. Biotechnol.<br />

Urinary potassium concentration (mmol/L)<br />

Urinary concentration of sodium (mmol/L)<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

*<br />

*<br />

NS<br />

12.5 mg/Kg<br />

25.0 mg/Kg<br />

50.0 mg/Kg<br />

a<br />

*<br />

a * a<br />

a<br />

* *<br />

0<br />

0 3 7 11 14<br />

Figure 1. Variation in the urine concentration of sodium due to a week of intramuscular administration of<br />

artemether to rats. Each point is mean ± SEM (n = 20). *, Significantly different from the Day 0 value (p <<br />

0.05); a, significantly different from control (NS) (p < 0.05).<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

(mmol/L)<br />

*<br />

*<br />

a<br />

a<br />

a<br />

Day<br />

0 3 7 11 14<br />

Day<br />

a<br />

NS<br />

12.5 mg/Kg<br />

25.0 mg/Kg<br />

50.0 mg/Kg<br />

Figure 2. Variation in the urine concentration of potassium due to a week of intramuscular administration of<br />

artemether to rats. Each point is mean ± SEM. (n = 20). *, Significantly different from the Day 0 value (p


DISCUSSION<br />

Urinary concentration of calcium (mmol/L)<br />

1.6<br />

1.4<br />

1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

(mmol/L)<br />

*<br />

a a<br />

0<br />

0 3 7 11 14<br />

*<br />

Day<br />

*<br />

NS<br />

Akomolafe et al. 4229<br />

12.5 mg/Kg<br />

25.0 mg/Kg<br />

50.0 mg/Kg<br />

Figure 3. Variation in the urine concentration of calcium due to a week of intramuscular administration of<br />

artemether to rats. Each point is mean ± SE (n = 20). *, Significantly different from the Day 0 value (p <<br />

0.05). a, significantly different from control (NS) (p < 0.05)<br />

This study showed a dose-dependent degeneration of the<br />

renal tissue of the rats under the influence of high doses<br />

of artemether (Plates 1 to 4). Chemical compounds which<br />

furnish oxygen based radicals are reputed for their cell<br />

membrane lipid peroxidation properties. Lipid<br />

peroxidation refers to the oxidative degradation of lipids.<br />

It is the process whereby free radicals take electrons<br />

away from lipids in cell membranes, resulting in cell<br />

damage. The endoperoxide bridge in artemether molecule<br />

produces free radicals which are responsible for the lipid<br />

peroxidation properties of the drug (Goodman and<br />

Gilman, 1985; Meshnick, et al., 1991, 1993; Maeno et al.,<br />

1993). The degenerative changes observed in the renal<br />

tissue of the treated rats could be attributed to the<br />

destruction of the membrane of the renal tubular cells of<br />

the rats by the free radicals produced by the drug.<br />

Analysis of the urine of the rats for electrolytes revealed<br />

a progressive and significant reduction in the concentration<br />

of the electrolytes at 50.0 mg/kg of artemether.<br />

This indicated that the rats that received this dose of<br />

artemether produced more dilute urine with each passing<br />

day of the study, despite the anorexia induced by the<br />

drug. Inability of the kidney to concentrate or dilute the<br />

urine is one of the features of damaged nephrons (Leaf<br />

and Cotran, 1980; Neinman, and Lorenz, 1989; Guyton<br />

and Hall, 2001; Dunn, 2003; Ganong, 2003). Rapid<br />

tubular flow occurs in the remaining nephrons of the<br />

diseased kidneys. The renal tubules lose their ability to<br />

concentrate or dilute the urine (Guyton and Hall, 2001).<br />

This study indicated that high doses of artemether are<br />

toxic to the renal tissue of the rats. We have earlier<br />

reported a significant increase in the volume of the urine<br />

produced by rats that received 50.0 mg/kg of artemether,<br />

during treatment and even one week post-treatment,<br />

without a corresponding increase in their food and water<br />

intake for the same period (Akomolafe et. al., 2006). The<br />

excessive fluid loss of rats that received this dose of<br />

artemether could lead to dehydration and a severe<br />

depletion of the major electrolytes of their body fluid. The<br />

photomicrograph of the kidney of rats that were given this<br />

dose of artemether showed a very high degree of tissue<br />

degeneration. The continuous significant decreases in<br />

the urine concentration of the electrolytes could not have<br />

been due to increased reabsorption of the electrolytes by<br />

the renal tubules, but rather to the artemether-induced<br />

anorexia and the excessive water loss that usually<br />

accompanies increased electrolyte loss in urine (osmotic<br />

diuresis).<br />

Throughout the study, there was no significant change<br />

in the concentration of Na + in the urine of the control rats<br />

(Figure 1). This is an indication that the kidney function of<br />

the rats was not impaired, as evidenced by the photomicrograph<br />

of their kidneys (Plate 1). At 12.5 and 25.0<br />

mg/kg, urine Na + concentration was significantly higher<br />

than the Day 0 and control values throughout the study (p<br />

< 0.05), except on Day 7 (at 12.5 mg/kg) and Day 11 (at<br />

25.0 mg/kg), when it was not significantly different from<br />

these values. Our earlier report indicated that rats that<br />

*<br />

a


4230 Afr. J. Biotechnol.<br />

M<br />

S<br />

G<br />

B<br />

Plate 1: Photomicrograph of the kidney of rats that received normal saline i.m. for 7 days (Control 1 rats). Mag x 400.<br />

The kidney tissue shows no pathological changes, as reflected by the Bowman’s capsule (B), the glomerulus (G), renal<br />

tubules (T) and other cells of the renal tissue. The glomerulus (G) and the capsular space (S) are distinct and intact.<br />

The tubules retain their normal shapes and the tubular cells have well defined boundaries, and nuclei. The mesangial<br />

cells (M) are normal in size shape and number.<br />

.<br />

T<br />

C<br />

Plate 2. Photomicrograph of the kidney of rats that received 12.5 mg/kg of artemether i.m. for 7 days.<br />

Mag×400. The glomerulus (G) has expanded to the extent of almost closing the capsular space(S). The tubular<br />

cells (C) are densely stained. The tubules (T) have started losing their integrity as reflected in the distortion of<br />

their shape.<br />

received 25.0 mg/kg of artemether had significantly<br />

increased urine output which lasted for even a week after<br />

treatment, without a corresponding increase in food and<br />

water intake, most especially during treatment (Akomolafe<br />

et al., 2006).<br />

The significant increase in urine Na + concentration at<br />

25.0 mg/kg of artemether is an evidence of dehydration<br />

induced by the drug. The integrity of the nephrons of the<br />

rats had been severely compromised as revealed by<br />

Plate 3. The significant increase in urine Na +<br />

concentration at this dose of the drug could also be a<br />

reflection of excessive sodium loss by the damaged<br />

T<br />

G<br />

kidneys of the rats.<br />

The K + concentration in the urine of the control rats did<br />

not vary significantly throughout the study (Figure 2). At<br />

12.5 mg/kg, K + concentration in the urine was significantly<br />

higher than the control and Day 0 values throughout the<br />

study (p < 0.05). At 25.0 mg/kg, there was no significant<br />

change in K + concentration throughout the study.<br />

Potassium, once absorbed by the intestinal tract, is<br />

partially removed from the plasma by glomerular filtration<br />

and is then nearly completely reabsorbed in the proximal<br />

tubule. Unlike sodium, it is effectively re-excreted by the<br />

distal tubules There is no threshold level for K + ( Guyton<br />

S


.<br />

Plate 3. Photomicrograph of the kidney of rats that received 25.0 mg/kg of artemether, i.m. for 7 days.<br />

Mag×400. The Bowman’s capsule (B) started breaking down. The glomerulus (G) has undergone<br />

degeneration. The capsular space (C) has been completely obliterated. The tubular cells (S) are still<br />

densely stained. The tubules (T) have lost much of their integrity as their boundaries are no more well<br />

defined. The intertubular space (P) are almost completely closed due to inflammation of the tubules.<br />

T<br />

C<br />

B<br />

T<br />

C<br />

G<br />

B<br />

Akomolafe et al. 4231<br />

Plate 4.Photomicrograph of the kidney of rats that received 50.0 mg/kg of artemether i.m. for 7 days. Mag×400. The<br />

Bowman capsule (B) is almost non-existent due to degeneration. The densely stained tubular cells (C) are still<br />

observable, though the tubular intergrity (T) has been grossly distorted as a result of inflammation and degenerative<br />

changes.<br />

and 25.0mg/kg of artemether in this study could be<br />

attributed to the differences in the renal handling of the<br />

two electrolytes. Potassium is mainly an intracellular<br />

electrolyte. The damaged renal tissue could also be a<br />

source for additional K + in the body fluid of the rats.<br />

Artemether caused no significant change in urine Ca 2+<br />

concentration in the control rats as well as those that<br />

received 12.5 and 25.0 mg/kg of artemether, throughout<br />

the study (Figure 3). It could be due to the fact that<br />

artemether does not have any appreciable effects on<br />

renal Ca2 + excretion at these doses of the drug.<br />

However, this needs further verification.<br />

The plasma Na + concentration was significantly increased<br />

at 25.0 mg/kg of artemether only (p < 0.05) (Figure<br />

4). This is in conformity with the observed significant<br />

elevation of the urine concentration of this electrolyte in<br />

rats that received this dose of artemether. The<br />

significantly increased Na + concentration in the plasma of<br />

rats that received 25.0 mg/kg of the drug could be due to<br />

the same reasons given for the elevated urine level of the<br />

electrolyte. The reductions observed at 12.5 and 50.0<br />

mg/kg of the drug were not significant. The plasma K +<br />

concentration increased significantly at all the doses of<br />

artemether studied, except at 50.0 mg/kg where it was<br />

significantly reduced (Figure 5). The significant increase<br />

in the plasma concentrations of this electrolyte at lower<br />

doses of artemether could be as a result of the druginduced<br />

renal tissue damage at these doses, while the


4232 Afr. J. Biotechnol.<br />

Potassium (mmol/L)<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

Sodium (mmol/L)<br />

(mmol/L)<br />

142<br />

140<br />

138<br />

136<br />

134<br />

132<br />

130<br />

128<br />

(mmol/L)<br />

NS 12.5 25.0 50.0<br />

Dose (mg/kg)<br />

Figure 4. Effect of artemether on the plasma sodium concentration of rats. *Significantly different<br />

from control (p < 0.05). The plasma Na + concentration was significantly increased at 25.0 mg/kg of<br />

artemether only (p < 0.05). The reduction observed at 12.5 and 50.0 mg/kg of the drug was not<br />

significant.<br />

*<br />

NS 12.5 25.0 50.0<br />

Dose (mg/kg)<br />

Figure 5. Effect of artemether on the plasma potassium concentration of rats. *Significantly different from control (p <<br />

0.05). The plasma K + concentration increased significantly at all the doses of artemether studied, except at 50.0 mg/kg<br />

where it was significantly reduced.<br />

significant decrease at 50.0 mg/kg could be attributed to<br />

the earlier reported sustained significant reduction in food<br />

consumption, increased urine output, as well as much<br />

degeneration of the nephrons induced by artemether.<br />

There was no significant difference in the plasma Ca 2+<br />

level of the control rats and those that received 12.5 and<br />

25.0 mg/kg of artemether (Figure 6). This is an indication<br />

that, at these doses of artemether, calcium excretion was<br />

not adversely affected by the renal tubular damage<br />

induced by the drug. However, a significant decrease in<br />

*<br />

*<br />

the plasma level of this electrolyte was observed at 50.0<br />

mg/kg of the drug.<br />

Conclusion<br />

High doses of artemether caused progressive degeneration<br />

of the renal tissue, inability of the nephrons to<br />

concentrate urine, excessive water loss and electrolyte<br />

depletion in rats.<br />

*


Calcium (mmol/L)<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

NS 12.5 25.0 50.0<br />

Dose (mg/ ) kg)<br />

Akomolafe et al. 4233<br />

Figure 6. Effect of artemether on the plasma calcium concentration of rats. *Significantly different from control (p < 0.05).<br />

There was no significant difference in the plasma Ca 2+ level of the control rats and those that received 12.5 and 25.0 mg/kg<br />

of artemether. At 50.0 mg/kg, plasma Ca 2+ decreased significantly.<br />

ACKNOWLEDGMENTS<br />

We are grateful to Obafemi Awolowo University, Ile-Ife for<br />

financing this study and to Mr. J.A. Ibeh, of the<br />

Department of Anatomy and Cell Biology, and Messrs T.<br />

A. Ogundoyin, F. A. Abidoye, C. O. Ola, R. T. Olatoye,<br />

and A. E. Adebiyi of the Department of Physiological<br />

Sciences for their technical assistance in the process of<br />

carrying out this research work<br />

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Am. J. Trop. Med. Hyg. 62(3): 409-412.<br />

Petras JM, Kyle DE, Gettayacamin M, Young GD, Bauman RA,<br />

Webster HK, Corcoran KD, Peggins JD, Vane MA, Brewer TG<br />

(1997). Arteether; Risk of two-week administration of Macaca<br />

mulatta. Am. J. Trop. Med. Hyg. pp. 390-396<br />

Qigui L, Thomas GB, James OP (1998). Anorexic toxicity of<br />

dihydroartemisinin, artemether, and arteether in rats following<br />

multiple intramuscular doses. Int. J. Toxicol. 17: 663-676<br />

Qinghaosu Antimalarial Coordinating Research Group (1979).<br />

antimalarial studieson qinghaosu. Chin. Med. J. 92: 811-816<br />

Qinghaosu Antimalarial Coordinating Research Group, Haiman Island<br />

(1979). Observations on the clinical effect of qinghaosu in the<br />

treatment of chloroquine-resistant malaria. J. Nat. Drug. 9: 12-16.<br />

Nosten F, Van Vugt M, Prince R, Luxemburger C, Thyway KL,<br />

Brockman A, McGready R Kuile F, Looareesuuvan S, White NJ<br />

(2000). Effects of artesimate-mefloquine combination on incidence of<br />

plasmodium falciparum malaria and mefloquine resistance in<br />

Western Thailand; A prospective study. Lancet. 356: 297-302.<br />

Raymond GG, Donald BN, Qigui Li JO, Thomas JB (1998). Dosedependent<br />

brainstem neuropathology following repeated arteether<br />

administration in rats. Brain Res. Bull. 45 (2): 199-202<br />

Sumalee K, Paul M, Paul H, Herman Z, Steven RM (1997). Artemisinin<br />

neurotoxicity: Neuropathology in rats and mechanistic studies in vitro.<br />

Am. J. Trop. Med. Hyg. 56(1): 7-12<br />

Van Vugt M, Wilariratana P, Gemperti B, Gathman I, Phaipum L,<br />

Brockman A, Luxemburger C, White NJ, Nosten F, Looareesuwan S<br />

(1999). Efficacy of six doses of artemether-lumefantrine (Benflumetol)<br />

in multidrug-resistant plasmodium falciparum malaria. Am. J. Trop.<br />

Med. Hyg. 60(6): 736-942.<br />

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Hyg. 66(1): 30-34.<br />

*


African Journal of Biotechnology Vol. 10(20), pp. 4234-4241, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2174<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Expression of biological active VHH camelid single<br />

domain antibody in transgenic tobacco<br />

Behnaz Korouzhdehy 1 , Mehdi Dadmehr 1 *, Issa Piri 1 , Fatemeh Rahbarizadeh 2 and Mahmood<br />

Solouki 3<br />

1 Department of Agriculture, University of Payame Noor, Tehran, Iran.<br />

2 Department of Medical Biotechnology, University of Tarbiat Modares, Tehran, Iran.<br />

3 Department of Agriculture, University of Zabol, Zabol, Iran.<br />

Accepted 1 April, 2011<br />

Functional VHH single domain antibody lacking light chains occur naturally in Camelidae. The single<br />

domain nature of VHH gives rise to several unique features when compared to antigen-binding<br />

derivatives of conventional antibodies. The level of expression in Escherichia coli was found to be too<br />

low for therapeutic purposes. Therefore, there is a need to examine other production systems such as<br />

plants. Several plants are the facile and economic bioreactor for large-scale production of industrial<br />

and pharmaceutical agents like proteins and antibodies. Here, we have selected tobacco as the host<br />

plant because of large scale production capability and many other advantages such as greater safety<br />

and lower production costs when compared to animal-based systems. In this study, we have subcloned<br />

VHH gene into pBI121 using phasmid pCANTAB5E. The new construct was used to transform the<br />

Agrobacterium strains C58GV3101 and LBA4404. Agrobacterium strain C58GV3101 showed a higher<br />

virulence on leaf disks of Nicotiana tabacum (NC25). Transgenic tobacco plants were then developed by<br />

introducing VHH gene under the control of CaMV 35S promoter. The presence of the VHH antibody gene<br />

in the plant genome was verified by PCR analysis and Southern hybridization experiments. Northern<br />

blot analysis showed that the genes coding for the VHH could be expressed in tobacco plants. Three<br />

lines of transgenic plant that expresses high levels of mRNA were screened in a further analysis. The<br />

expression of VHH was then observed in transgenic plants by ELISA using the specific antibody<br />

developed, the results showed three to five folds higher than non-transgenic tobaccos.<br />

Key words: VHH antibody fragment, subcloning, antibodies, transgenic tobacco, bioreactor.<br />

INTRODUCTION<br />

Antibodies have been used as diagnostic or therapeutic<br />

agents in vivo as well as ex vivo for the last two decades.<br />

Their clinical applications are evident in the treatment of<br />

diseases such as cancer, transplantation, autoimmunity<br />

and cardiovascular disorders. They have been specifically<br />

used in cancer therapy because of their high<br />

specificity for tumour antigens and low cross-reactivity<br />

with normal cells. VHHs are heavy chain variable domains<br />

derived from immunoglobulins (IgG) naturally devoid of<br />

light chains such as those derived from Camelidae in pre-<br />

*Corresponding author. E-mail: mehdidadmehr@yahoo.com.<br />

vious studies (Hamers-Casterman et al., l993) Furthermore,<br />

their H chain is devoid of the CH1 domain due to<br />

an unconventional splicing event during mRNA maturation.<br />

Therefore, the antigen-binding fragment of the heavychain<br />

antibody consists of a single domain referred to as<br />

VHH that replaces a four-domain Fab fragment in the<br />

immunoglobulin structure (Muyldermans et al., 1994).<br />

VHH molecules are about 10 times smaller than IgG<br />

molecules. They are single polypeptides and very stable,<br />

resisting extreme pH and temperature conditions.<br />

Moreover, they are resistant to the action of proteases<br />

which is not the case for conventional antibodies.<br />

Furthermore, in vitro expression of VHH’s produces high<br />

yield, properly folded functional VHHs. In addition,<br />

antibodies generated in Camelids will recognize epitopes


than those recognised by antibodies generated in vitro<br />

through the use of antibody libraries or through immunization<br />

of mammals other than Camelids (Ghahroudi et<br />

al., 1997). As such, anti-MUC1 VHHs may interact more<br />

efficiently with its target than conventional antibodies,<br />

thereby blocking its interaction with the target ligands<br />

more efficiently. Since VHH’s are known to bind into<br />

unusual epitopes such as cavities or grooves (Spinelli et<br />

al., 2000), the affinity of such VHH's may be more<br />

suitable for therapeutic treatment. Besides the<br />

advantages of easy cloning (single gene) and selection<br />

from in vivo matured library, it has other technological,<br />

physiochemical and functional advantages, such as close<br />

homology to human VH fragments, high expression yield,<br />

highly soluble and the generation of antigen-specific high<br />

affinity binders (Nguyen et al., 2001). Recently, Camelid<br />

single domain antibodies have been used to target MUC1<br />

antigens in breast cancer (Taylor-Papadimitriou et al.,<br />

2002). These fragments have been expressed in both<br />

Escherichia coli and P. pastoris (Rahbarizadeh et al.,<br />

2006). However, these expression systems have several<br />

limitations that hinder maximum output of biologically<br />

active and safe therapeutic agents. Some of these<br />

limitations that have been reported are: (1) formation of<br />

inclusion bodies in bacteria, (2) formation of non-native<br />

proteins having different biological activities in yeast, (3)<br />

low transgene expression levels, (4) transgene induced<br />

instability of certain cell lines in mammalian cell cultures<br />

and (5) contamination of animal-based products with<br />

human pathogens (Koprowski et al., 2005). Such<br />

shortcomings invite alternative methods of production to<br />

ensure the safety and economical benefits of recombinant<br />

therapeutic proteins (Carmer et al., 1999). Plantbased<br />

systems are increasingly used for the production<br />

of recombinant proteins including antibodies (During et<br />

al., 1990; Peeters et al., 2001; Torres et al., 1999;<br />

Schillberg et al., 2005). Plant-based systems have<br />

several advantages over the other production systems,<br />

such as the ability to carry out necessary posttranslational<br />

modifications not available in bacterial<br />

systems, as well as greater safety and lower production<br />

costs when compared to animal-based systems. Plantbased<br />

technology has been recently reviewed, with full<br />

description of commonly used plants (Hellwig et al.,<br />

2004). Processing of transgenic crops would require<br />

relatively little capital investment, making the commercial<br />

production of biopharmaceuticals an exciting prospect. It<br />

has been estimated that the cost of producing<br />

recombinant proteins in plants could be 10 to 50 fold<br />

lower than that for producing the same protein in E. coli<br />

or mammalian cells (Stoger et al., 2000, 2002). Several<br />

proteins, enzymes and antibodies have been produced in<br />

plants and used in clinical trials, with a prospect of<br />

commercial exploitation (Ma et al., 2003). In this report,<br />

which is the first of its kind, we described the cloning and<br />

expression of VHH single domain antibody in tobacco<br />

plants as a first step in the development of a plant based<br />

Korouzhdehy et al. 4235<br />

vaccine that could produce VHH and a low-cost biomass<br />

scale-up was performed with this bioreactor.<br />

MATERIALS AND METHODS<br />

Construction of the expression vector pBI-VHH<br />

The phasmid vector pCANTAB5E containing the VHH coding<br />

sequence that was partially optimized for expression in competent<br />

E. coli TG1 was obtained from the Department of Medical<br />

Biotechnology, Tarbiat Modares University (AY544575). The VHH<br />

encoding region was amplified from pCANTAB5E phasmid DNA<br />

using the primers back: 5´-<br />

GGAAATTCGAGCTCTTAGTGAGATGGTGAC-3´ and forward:<br />

5´TCTAGAGGA TCCTAAACAATGGTCCTGCTACAGTCA-3´. Each<br />

PCR mixture was prepared in a final volume of 50 µl containing 50<br />

ng pCANTAB5E phasmid DNA template, 50 pM forward primer, 50<br />

pM of the corresponding backward primer, 40 pM dNTPs, 25 mM<br />

MgCl2, 1.25 U Taq DNA polymerase (Cinnagen) and 5 µl 10 × PCR<br />

buffer II (Cinnagen). Hot start PCR was performed at 95°C for 5<br />

min, followed by 35 cycles of denaturation at 94°C for 30 s,<br />

annealing at 52°C for 45 s and elongation at 72°C for 1 min. The<br />

reaction was completed by a final extension time at 72°C for 10<br />

min. The amplified variable regions were purified by electrophoresis<br />

on a 1.5% agarose gel and subsequently extracted with an<br />

AccuePrep Gel Extraction Kit (Bioneer) according to the<br />

manufacturer’s instructions.<br />

Amplified DNA was cloned into T/A vector (pTZ57R) using the<br />

InsT/A clone PCR product cloning kit from Fermentas. pTZ57R<br />

plasmid was cut with BamH I and Sac I (Roche Applied Science).<br />

After another electrophoresis on a 1.5% agarose gel, the variable<br />

regions were excised and extracted with the AccuPrep Gel<br />

Extraction Kit (Bioneer). The fragment of interest was ligated with<br />

the corresponding cut vector pBI 121 in a 10 µl volume containing<br />

50 ng vector DNA, threefold molar excess of the PCR product and<br />

5 U of T4 DNA ligase (Fermentas) for 16 h at 14°C. E. coli TG1<br />

cells (50 µl) were transformed with 2 µl of the ligation product via<br />

CaCl2 method. One milliliter of prewarmed SOC medium<br />

(Sambrook et al., 2001) was immediately added, and the cells were<br />

grown at 37°C for 1 h shaking with 250 rpm. Cells were plated on<br />

LB agar medium containing kanamycin (25 µg/ml) and incubated<br />

overnight at 30°C.<br />

Colonies were picked for plasmid extraction using the Accuprep<br />

Plasmid Extraction Kit (Bioneer). Agrobacterium tumefaciens strains<br />

C58GV3101 and LBA4404 have been previously described<br />

(Hoekema et al., 1983; Koncz et al., 1986). The engineered pBI 121<br />

plasmids were used to transform the both earlier mentioned<br />

Agrobacteriums using a freeze and thawing standard protocol<br />

(Sambrook et al., 2001).<br />

Transformation<br />

Axenic plants of tobacco (Nicotiana tabaccum var.NC25) were<br />

maintained under in vitro growth conditions at 26°C and 16 h<br />

photoperiod in the laboratory. For tobacco transformation,<br />

Agrobacterium cells were used for transformation. Leaf explants of<br />

in vitro-grown were inoculated with Agrobacterium in a YEP liquid<br />

medium for 10 min. For effective transformation, the explants were<br />

placed in a co-culture medium containing 2.0 mg/l BAP and 0.01<br />

mg/l NAA. Two days later, the explants were transferred to the<br />

regeneration medium (MS medium, supplemented with 2.0 mg/l<br />

BAP, 0.01 mg/l NAA, 200 mg/l cefatoxim and 100 mg/l kanamycin).<br />

The explants were transferred to the fresh medium at 2 weeks<br />

intervals. As a control, non-inoculated explants were cultured in the<br />

same medium without hormones and antibiotics. The induced


4236 Afr. J. Biotechnol.<br />

shoots were then dissected from the explants and transferred to<br />

free hormone MS rooting medium containing cefatoxim (200 mg/l)<br />

for Agrobacterium elimination and kanamycin (100 mg) as a<br />

selective antibiotic. Also, specific modified MS media were<br />

developed and used for co-culture, regeneration and rooting steps<br />

by Dadmehr (Unpublished data). When the roots were induced on<br />

the regenerated shoots, plantlets were transplanted to moist<br />

vermiculite for acclimatization. When the shoots had began to grow,<br />

the plantlets were transplanted to moist soil and the plants were<br />

grown to maturity.<br />

PCR analysis and Southern blot hybridization<br />

Genomic DNA from 200 mg each of non-transgenic plants as<br />

negative control and all putative kanamycin resistant plants was<br />

extracted from transgenic plants using the CTAB method (Rogers et<br />

al., 1994). Transformed and control plant genomic DNA was used<br />

as a template to detect the VHH gene by polymerase chain reaction<br />

(PCR) under the conditions that were described before and with<br />

specific primers. The 327 bp amplified DNA fragments were<br />

analyzed by electrophoresis on a 1.5% agarose gel stained with<br />

EtBr and observed under UV illumination. The genomic DNA also<br />

was digested with SacI to confirm the copy number of inserted T-<br />

DNAs for the VHH derived transformants. The digested DNA was<br />

electrophoresed on a 1.0% agarose gel and then transferred to<br />

positively charged nylon membrane (Roche Co., Germany) using a<br />

Turboblotter system (Schleicher and Schuell). Dig-labeled probes<br />

were generated by PCR Dig Labeling Mix (Roche Co., Germany)<br />

with the specific primer set for the VHH gene. DNA gel blots were<br />

hybridized at 50°C in a DIG easy hybridization buffer. After<br />

hybridization overnight, the membrane was washed in an SSC<br />

buffer series and then detected using the Dig Detection Kit following<br />

the manufacturer’s instructions (Roche Co., Germany).<br />

Northern blot analysis<br />

Total RNA from the leaves of transformed plants was isolated using<br />

the RNAgents ® Total RNA isolation system (Promega Co., USA)<br />

according to the manufacturer’s instructions. Samples of 30 µg of<br />

total RNA were denatured with formaldehyde and formamide and<br />

fractionated in a 3.0% agarose gel using a 3-(N-morpholino)<br />

propane sulfonic acid (MOPS) buffer. The RNA was blotted to a<br />

positively charged nylon membrane, and fixed by ultraviolet<br />

irradiation. The membranes were hybridized with Dig-labeled<br />

probes using a template containing most of the coding region for<br />

VHH. After hybridization for 10 h at 68°C, the blots were washed in<br />

an SSC buffer series and then detected by means of the Dig<br />

Detection Kit according to manufacturer’s instructions (Roche Co.,<br />

Germany).<br />

Quantification of VHH levels in transgenic tobaccos<br />

Antibodies from leaves were obtained by homogenization in a<br />

blender with liquid nitrogen, and the resulting powder was<br />

resuspended in cold extraction buffer containing PBS, pH 7.2, 10<br />

mM EDTA, 0.03% Triton X-100, 5 mM mercaptoethanol and 1 mM<br />

PMSF (1 g of fresh weight/ml). The extract was filtered and<br />

centrifuged for 20 min at 12,000 ×g and the resulting supernatant<br />

was used for the VHH protein expression analysis. ELISA plates<br />

were coated with 100 µl of coating buffer containing the sample<br />

proteins from the transgenic plants overnight at 4°C. After standing<br />

overnight, the plates were washed and blocked 2 h at RT with 5%<br />

skim milk in PBS-Tween 20. The plates were then washed three<br />

times with 0.05% Tween 20 in PBS and 100 µl of MUC1 synthetic<br />

peptide TSA-P1-24 as the primary antibody diluted at 1:1000 in<br />

PBS-Tween 20% was added to each well and allowed to react for 2<br />

h at RT. The plates were again washed three times, and treated<br />

with 100 µl of anti-(camel) rabbit antibodies conjugated with<br />

horseradish peroxidase as the second-antibody, diluted at 1:2000 in<br />

PBS-Tween 20 for 2 h at RT. Finally, the plates were again washed<br />

four times, and 200 µl of a freshly prepared solution of<br />

ophenylenediamine dihydrochloride and H2O2 was added.<br />

Reactions were stopped by adding 2.5 M H2SO4. The absorbance<br />

was measured in a Multiskan ELISA Reader (Labsystems, Helsinki,<br />

Finland) using a 492-nm filter.<br />

RESULTS<br />

Construction and transformation of vectors<br />

Single domain antibody gene of the pCANTAB5E was<br />

subcloned into the expression vector pBI121. The<br />

transfer of this gene is schematically shown in Figure 1.<br />

The isolation and PCR amplification of the gene encoding<br />

the VHH antibody was performed using pCANTAB5E<br />

phasmid DNA as template. Targeting the restriction sites<br />

BamH1 and Sac1 in pTZ57R plasmid facilitated<br />

subcloning. New construct (plasmid) was transformed<br />

into TG1 E. coli and the colonies were appeared on the<br />

kanamycin containing plate. After the plasmid extraction,<br />

both pTZ57R and pBI121 plasmids were cut by BamH1<br />

and Sac1 restriction enzymes. Electrophoresis showed<br />

327 bp bands from pTZ57R and 12000 and 1900 bp GUS<br />

removed from pBI121. The amplified 327 and 12000 bp<br />

bands were gel-purified from agarose. During the ligation,<br />

VHH gene was inserted into pBI121 plasmid and was<br />

called PBI-VHH (Figure 1). PBI-VHH plasmid was<br />

transferred to Agrobacterium strains C58GV3101 and<br />

LBA4404.<br />

Effects of two strains of Agrobacterium on the<br />

efficiency of transformation in tobacco<br />

To improve the efficiency of transformation, this study<br />

examined the effects of two Agrobacterium strains on<br />

shoot formation from leaf disks. 168 and 162 leaf disks<br />

were infected by Agrobacterium strains C58GV3101 and<br />

LBA4404, respectively with a copy of pBI-VHH. All of<br />

these were transferred to plates with media containing<br />

cefatoxim. The frequency of regenerated shoots from leaf<br />

disks that were infected with C58GV3101 was higher.<br />

Fourteen (14) transformants were obtained from leaf<br />

disks infected with the Agrobacterium strain LBA4404<br />

after 3 months in culture. In this experiment, the<br />

transformation efficiency was at least 8.3%, a ratio of<br />

about 7.8-fold of C58GV3101 (Table 1). These results<br />

indicated that kind of Agrobacterium strains affects the<br />

efficiency of transformation in N. tabacum. When the leaf<br />

explants were inoculated with Agrobacterium immediately<br />

after excision, shoots on the cut edges of the explants<br />

were observed in the presence of 100 mg/l kanamycin<br />

and 200 mg/l cefatoxim after two weeks. The putatively


Figure 1. Schematic representation of pBI-VHH construction. VHH gene inserted<br />

between CaMV 35S promoter and NOS terminator.<br />

Table 1. Effect of two Agrobacterium strains on transformation frequency.<br />

Number of experiment Strain<br />

EX1<br />

EX2<br />

EX3<br />

Total<br />

transformed shoots were excised when they were about<br />

1 cm tall and transferred to a shoot elongation medium<br />

containing cefatoxim and kanamycin.<br />

Consequently, shoots were transferred to rooting media<br />

and after hardenization to the greenhouse. The genes<br />

that had been stably integrated into the plant genome<br />

were transcripted under the control of CaMV35S,<br />

resulting in the expression of the VHH gene.<br />

Number of leaf<br />

disk<br />

Number of<br />

regeneration shoot<br />

Korouzhdehy et al. 4237<br />

Number of<br />

transgenic shoot<br />

C58GV3101 68 26 7<br />

LBA4404 52 10 3<br />

C58GV3101 24 3 1<br />

LBA4404 30 0 0<br />

C58GV3101 76 28 6<br />

LBA4404 80 14 0<br />

C58GV3101 168 57 14 (8.3%)<br />

LBA4404 162 24 3 (1.85%)<br />

Expression of VHH antibody fragment in plants and<br />

molecular analysis<br />

More than 160 kanamycin-resistant putative transformants<br />

were obtained (Table 1) and carried out further<br />

analysis of VHH gene expressions on selected transgenic<br />

plants. Untransformed tobacco plants that had been<br />

regenerated from leaf discs without kanamycin selection,<br />

were used as negative controls. PCR analysis was


4238 Afr. J. Biotechnol.<br />

carried out as the first method to confirm the transgenic<br />

nature of the regenerated plants. The presence of VHH<br />

DNA in the genomic DNA isolated from regenerated<br />

tobacco was confirmed. Transformants were detected by<br />

PCR amplification of inserted VHH with specific primers.<br />

The expected 327 bp VHH bands were found in the<br />

transformants (Figure 2). No DNA product was detected<br />

in untransformed control plant DNA. The same fragment<br />

was amplified using plasmid pBI 121 as our positive<br />

control. Southern blot analysis of PCR positive transgenic<br />

lines (T1) was done to verify site-specific integration and<br />

to establish copy number. In order to determine the T-<br />

DNA copy number in each transformant, the DNA was<br />

digested with SacI, which cuts the T-DNA between VHH<br />

Figure 2. Agarose gel electrophoresis of VHH amplification<br />

products from transgenic plants. Lane M: 100 bp ladder; lane WT:<br />

wild type tobacco; lanes 1 to 7: transgenic tobacco plants lines 2,<br />

3, 6, 7, 12, 18 and 19.<br />

Figure 3. Southern blot analysis of transgenic tobacco lines 1, 9 and<br />

22 for the presence of VHH gene. Lane WT: genomic DNA from nontransgenic<br />

tobacco; Lanes 1 to 5: genomic DNA from transgenic<br />

tobacco lines 2, 6, 7, 9, 12 and 18.<br />

Figure 4. Expression of VHH mRNA extracted from leaf tissue.<br />

Lane WT: non-transgenic tobacco; Lanes 1 to 4: transgenic<br />

tobacco lines 2, 6, 7 and 12.<br />

and the nos terminator. The probe then hybridizes to one<br />

T-DNA end fragment from each single-copy insertion,<br />

thus permitting the copy number of the VHH gene to be<br />

established. The transgene copy number as estimated by<br />

Southern hybridization ranged from one to two copies<br />

(Figure 3).<br />

Detection of the VHH transcripts<br />

The transformants were analyzed by hybridizing RNA<br />

samples with a labeled probe encompassing the coding<br />

region of the VHH gene. Figure 4 shows the results of an<br />

experiment, where selected transformants harboring the


Figure 5. VHH expression levels in transgenic tobacco lines. Production of VHH in tobaccos<br />

of four independent transgenic plants (T2, T6, T7 and T12) and one wild type plant (WT) was<br />

analyzed by ELISA. Mean values and standard deviations of three independent analysis are<br />

represented. A reaction buffer (B) was used as a blank control.<br />

pBI 121constructs and a non-transgenic control were<br />

probed. A VHH transcript was found in the four lines of<br />

transgenic tobacco (nos. 2, 6, 7 and 12), and the mRNA<br />

levels in individual transgenic lines were all quite different<br />

(Figure 4). A high level of a VHH transcript was found in<br />

the 6 and 7 transgenic lines. The signal was variable<br />

among different transformants, due to random integration<br />

of the foreign gene into the host tobacco genome. The<br />

size of VHH specific transcript was confirmed by RNA<br />

Century TM Size Markers (Ambion, Inc., Austin, TX USA)<br />

and supplied manuals. Five micrograms of RNA Century<br />

Markers was electrophored along with RNA transcripts<br />

from transformants and cutted for staining with EtBr. The<br />

transcripts from the pBI 121 transformants were ≈ 327 bp<br />

in length by comparison with stained RNA Century<br />

Markers, which is consistent with the expected size.<br />

Detection of VHH protein expression in transgenic<br />

plants<br />

Based on northern analysis, the transformed plants were<br />

further checked for recombinant protein expression by<br />

ELISA analysis using a monoclonal specific antibody. As<br />

a result, the expression of recombinant VHH protein was<br />

confirmed by an ELISA assay. The results demonstrated<br />

that concentrated extracts from all selected plants were<br />

positive by ELISA (Figure 5). Expression level of VHH<br />

varied significantly among the four transformed plants.<br />

Plant derived protein in the transformed plants ranged<br />

from 0.9 to 2.5 ng/50 µg of total soluble protein.<br />

Transgenic plant line 6 showed the highest level of<br />

Korouzhdehy et al. 4239<br />

expression, accounting for 0.005% of the total soluble<br />

protein.<br />

DISCUSSION<br />

Expression of the first recombinant antibody in tobacco<br />

plant opened the field of the expression of recombinant<br />

antibodies as a real alternative to eliminate many<br />

constraints of monoclonal antibody production in<br />

bioreactors (Hiatt et al., 1989). Expression of antibodies<br />

in plants is being studied for their potential uses in<br />

biotechnology. Camelidae are known to produce<br />

immunoglobulin (Igs) devoid of light chains and constant<br />

heavy-chain domains (CH1). Antigen-specific fragments<br />

of these heavy-chains IgGs (VHH) are of great interest in<br />

biotechnology applications (Muyldermans et al., 2001).<br />

VHH single domain antibody fragments against MUC1<br />

antigen have been produced, but exclusively in bacteria<br />

and yeast. We have described here for the first time, the<br />

expression of a MUC1 specific VHH antibody in plants.<br />

Selecting the most appropriate vector for use in plant<br />

transformation can be a complex task and various factors<br />

need to be considered. Here, we have used pBI-VHH<br />

plasmid which carries origins of replication from spa and<br />

colE1 to facilitate maintenance in Agrobacterium and E.<br />

coli, respectively. The presence of unique multiple<br />

cloning sites (MCSs) for introducing target genes into the<br />

T-DNA region and a bacterially expressed marker gene<br />

(kanamaycin), permits selection and maintenance of the<br />

vector in E. coli and Agrobacterium. To facilitate immunohistochemical,<br />

biochemical and bioassay investigation,


4240 Afr. J. Biotechnol.<br />

large amount of VHH is required; therefore, we used the<br />

CaMV 35S promoter which is a very strong constitutive<br />

promoter, causing high levels of gene expression in dicot<br />

plants. Prior to that, we used the T/A cloning vector<br />

(PTZ57R) to take advantage of inserted MCS (multi<br />

cloning site) which is beneficial for cloning. M13 primers<br />

around the MCS that facilitate the gene sequencing were<br />

also used. The resulting PCR product ligated into a linear<br />

vector with a 3´ terminal 'T' or 'U' at both ends. Tobacco<br />

as a laboratory bench model was our target plant<br />

because of its large scale production and as compared to<br />

other plants represents a potentially safer production<br />

bioreactor for human proteins from the standpoint of<br />

containment.<br />

This study established an efficient protocol for plant<br />

regeneration and the Agrobacterium mediated<br />

transformation of tobacco. The effects of different<br />

Agrobacterium strains C58GV3101 and LBA 4404 on<br />

transformation rate of tobacco was investigated. The<br />

results indicate that the presence of pBI-VHH plasmid<br />

with kanamycin resistance in C58GV3101 increased the<br />

level of T-DNA transfer into the tobacco cells. This may<br />

be due to the higher sensitivity of C58GV3101 when<br />

compared to LBA4404. Therefore, using this<br />

Agrobacterium strain may provide a better opportunity to<br />

use tobacco for genetic engineering. In an effort to study<br />

the safety and reproducibility of VHH single domain<br />

antibody production in plant-based systems, a transgenic<br />

tobacco plant expressing this antibody was grown as a<br />

leaf disk culture on selective medium. Two weeks later,<br />

the plant cell cultures were initiated in selective medium<br />

and examined for VHH antibody production. Expression<br />

of the VHH appeared to remain constant throughout the<br />

growth periods, with no effect on the growth rate.<br />

Transient and stable plant system used here to express<br />

VHH gene, has the same advantages and limitations that<br />

have been already described in literature for similar<br />

cases. Various methods have been recently applied to<br />

produce and select functional antibodies. The transgene<br />

copy number as estimated by Southern hybridization<br />

ranged from one to two copies (Figure 3). According to<br />

the same experiment (Olhoft et al., 2001), we can<br />

conclude that multiple integrations of the T-DNA are due<br />

to the nature of the binary plasmid. Usually, the<br />

correlation between transcript level and T-DNA copy<br />

number is known in the transgenic plant. However, we<br />

guess that differences in the amount of specific transcript<br />

for foreign gene could be due to the promoter used or to<br />

a position effect, rather than to the number of transgene<br />

copies. One of the most commonly used methods to<br />

estimate the expression level of the recombinant antibody<br />

produced in transgenic plants is the enzyme-linked<br />

immunosorbent assay. In this work, we reported the<br />

validation of an enzyme (alkaline phosphatase)-linked<br />

immunosorbent assay to determine a plant-derived<br />

antibody directed against the MUC1 concentrations up to<br />

2.5 ng//50 µg of total protein. The binding between MUC1<br />

synthetic peptide and the plant-derived antibody in this<br />

assay was not affected by the impurities of the samples,<br />

demonstrating that our assay is free from interference in<br />

the range of concentrations. This VHH appears to be an<br />

intrinsically stable molecule, able to accumulate in the<br />

plant cell cytosol and to maintain its functionality. At<br />

present, the expression levels of a foreign antibody in<br />

transformed plants have been shown in relatively small<br />

amounts (0.01 to 0.1% of the total soluble protein). The<br />

highest expression level for the cholera toxin B subunit in<br />

transgenic tobacco chloroplasts, up to 4.1% of the total<br />

soluble protein has been reported (Daniell et al., 2001).<br />

The use of different promoters (Arakawa et al., 2001;<br />

Chong et al., 1997), the use of plant-derived leader<br />

sequences and signal peptides (Kong et al., 2001) and<br />

mainly the modification of codon usage of the foreign<br />

protein (Mason et al., 1980) could improve expression<br />

levels in plants. More studies are required to use the<br />

different subcloning procedures by different plant vectors,<br />

and optimize the expression and production of VHH gene<br />

in plants and the extraction/purification procedures that<br />

have substantial impacts on the final outcome<br />

ACKNOWLEDGEMENTS<br />

The authors thanks Dr. Reza Sheikhnejad (ProNAi<br />

Therapeutics Inc., Kalamazoo, Michigan, USA) for his<br />

valuable advice and support in this study.<br />

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camel heavy-chain antibodies. FEBS Lett. 414: 521–526<br />

Hamers-Casterman C, Atarhouch T, Muyldermans S, Robinson G,<br />

Hamers C, Bajyana Songa E, Bendahman N, Hamers R<br />

(1993).Naturally occurring antibodies devoid of light chain. Nature,<br />

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Hellwig S, Drossard J, Twyman RM, Fischer R (2004). Plant cell<br />

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binary plant vector strategy based on separation on vir- and Tregion<br />

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Koncz C, Schell J (1986). The promoter of TL-DNA gene 5 controls the


tissue-specific expression of chimaeric genes carried by a novel type<br />

Agrobacterium binary vector. Mol Gen Genet 204: 383–396.<br />

Kong Q, Richter L, Yang YF, Arntzen CJ, Mason HS, Thanavala Y<br />

(2001). Oral immunization with hepatitis B surface antigen expressed<br />

in transgenic plants. Proc. Natl. Acad. Sci. U.S.A. 98: 11539-11544.<br />

Koprowski H (2005). Vaccines and sera through plant biotechnology.<br />

Vaccine. 23: 1757–1763.<br />

Ma JK, Drake PM, Christou P (2003). The production of recombinant<br />

pharmaceutical proteins in plants. Nat. Rev. Genet. 4: 794-805.<br />

Mason HS, Haq TA, Clements JD, Arntzen CJ (1980). Edible vaccine<br />

protects mice against Escherichia coli heat-labile enterotoxin (LT):<br />

potatoes expressing a synthetic LT-B gene. Vaccine, 16: 1336–1343.<br />

Muyldermans S (2001). Single domain camel antibodies: current status.<br />

J. Biotechnol. 74: 277-302.<br />

Muyldermans S, Atarhouch TS, Barbosa JARG, Hamers R (1994).<br />

Sequence and structure of VH domain from naturally occurring camel<br />

heavy chain immuno- globulins lacking light chains. Protein<br />

Engineering. 9: 1129-1135.<br />

Nguyen VK, Desmyter A, Muyldermans S (2001). Functional heavychain<br />

antibodies in Camelidae. Advance Immunology, 79: 261-96.<br />

Olhoft PM, Somers A (2001). l-Cysteine increases Agrobacterium<br />

mediated T-DNA delivery into soybean cotyledonary-node cells, Plant<br />

Cell Rep. 20: 706-711.<br />

Peeters K, De Wilde C, De Jaeger G, Angenon, Depicker A (2001).<br />

Production of antibodies and antibody fragments in plants. Vaccine,<br />

19: 2756–2761.<br />

Rahbarizadeh F, Rasaee MJ, Forouzandeh Moghadam M, Allameh AA<br />

(2006). Over expression of anti-MUC1 single-domain antibody<br />

fragments in the yeast pichia pastoris. Mol. Immunol., 43: 426-435.<br />

Sambrook J, Russell DW (2001). Molecular cloning, a laboratory<br />

manual. pp:12.1-114 Cold Spring Harbor Laboratory Press. New<br />

York,USA.<br />

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Spinelli S, Frenken LG, Hermans P, Verrips T, Brown K, Tegoni M,<br />

Cambillau C (2000). Camelid heavy-chain variable domains provide<br />

efficient combining sites to haptens. Biochemistry, 39: 1217-1222<br />

Stoger E, Sack M, Perrin Y, Vaquero C, Torres E, Twyman RM (2002).<br />

Practical considerations for pharmaceutical antibody production in<br />

different crop systems. Mol. Breed 9: 149-158.<br />

Stoger E, Vaquero C, Torres E, Sack M, Nicholson L, Drossard J<br />

(2000). Cereal crops as viable production and storage systems for<br />

pharmaceutical scFv antibodies. Plant Mol. Biol. 42: 583–590.<br />

Taylor-Papadimitriou J, Burchell JM, Plunkett T, Graham R, Correa I,<br />

Miles D, Smith M (2002). MUC and the immunobiology of cancer. J.<br />

Mammary Gland Biol. Neoplasia. 7: 209-221.<br />

Torres E, Vaquero C, Nicholson L, Sack M, Stoger E, Drossard J<br />

(1999). Rice cell culture as an alternative production system for<br />

functional diagnostic and therapeutic antibodies. Transgenic Res 8:<br />

441-449.


African Journal of Biotechnology Vol. 10(20), pp. 4242-4248, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2343<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Aloe arborescens aqueous gel extract alters the<br />

activities of key hepatic enzymes and blood<br />

concentration of triglycerides, glucose and insulin in<br />

alloxan-induced diabetic rats<br />

Motetelo Alfred Mogale 1 , Sogolo Lucky Lebelo 2 , Leshweni Jeremia Shai 3 * and Jacobus<br />

Nicholaas Eloff 4<br />

1 Department of Physiology, Faculty of Medicine, University of Limpopo, P. O. Box 130, Medunsa 0204, South Africa.<br />

2 Department of Life and Consumer Sciences, University of South Africa, Private Bar X6, Florida 1710, South Africa.<br />

3 Department of Biomedical Sciences, Tshwane University of Technology, Acardia campus, Pretoria, South Africa.<br />

4 Phytomedicine Programme, University of Pretoria, Onderstepoort, South Africa.<br />

Accepted 22 February, 2011<br />

The present study investigated the antidiabetic activity and the possible mechanisms of action of<br />

aqueous extract of Aloe arborescens leaf gel (AALGEt) on normal and alloxan-induced diabetic rats.<br />

Diabetes was induced in 12 h fasted rats by intraperitoneal injection of 140 mg/kg body weight of<br />

alloxan. Blood glucose levels, body weight and water intake were determined on day 7, 14 and 21 of<br />

AALGEt treatment. Plasma insulin and triglycerides levels, as well as activities of hepatic glucokinase<br />

and glucose 6-phosphatase (G6Pase) were determined at the end of the study. Blood glucose levels,<br />

plasma triglyceride and insulin levels, as well as the activity of hepatic G6Pase were significantly<br />

increased in diabetic rats. With the exception of hepatic glucokinase activity, daily oral administration<br />

of AALGEt to diabetic rats significantly reversed the effects induced by alloxan. The activities of<br />

glucokinase and glucose-6-phosphatase as well as plasma insulin levels in AALGEt-treated normal rats<br />

were comparable with those observed in untreated normal rats. The results suggest that AALGEt<br />

ameliorates physiological parameters altered by the diabetic state. These effects may be mediated in<br />

part, through the protection of pancreatic beta cells from further damage by alloxan.<br />

Keywords: Aloe arborescens, alloxan, diabetic rats, antidiabetic activity, hepatic enzymes.<br />

INTRODUCTION<br />

Ethnomedical reports suggest that more than 1200 plants<br />

are used to control diabetes mellitus in traditional medicinal<br />

systems of different cultures, worldwide (Marles and<br />

Farnsworth, 1995; Grover et al., 2002). The hypoglycemic<br />

*Corresponding author. E-mail: shailj@tut.ac.za. Tel: +2712 382<br />

6342. Fax: +2712 382 6342.<br />

Abbreviations: AALGEt, Aqueous Aloe arborescens leaf gel<br />

extract; FFAs, Free fatty acids; G6Pase, glucose 6phosphatase;<br />

HDL, high density lipoprotein; HSL, hormone<br />

sensitive lipase; LPL, lipoprotein lipase; SANBI, South African<br />

National Biodiversity Institute.<br />

effects of a large number of these plants have been<br />

evaluated and confirmed in animal models of diabetes<br />

(Day and Bailey, 2006; Frode and Medeiros, 2006) as<br />

well as in clinical studies (Jayawardena et al., 2005; Day<br />

and Bailey, 2006). However, many of these plants still<br />

need to be validated and characterized in terms of<br />

toxicity, active principles and hypoglycemic mechanism of<br />

action.<br />

Aloe arborescens Miller., also known as Krantz aloe, or<br />

Kidachi aloe, is a multi-stemmed succulent shrub with a<br />

height of about 3 m. It belongs to the Asphodelaceae<br />

family (van Wyk and Smith, 2004; Smith et al., 2008). It is<br />

indigenous to southern Africa but it is reported to be<br />

cultivated all over the world (Smith et al., 2008). Some<br />

black communities in the Northwest Province (Odi district)


of South Africa use the leaf components (gel and juice) of<br />

A. arborescens as antidiabetic remedies (Mogale,<br />

personal communication). The hypoglycemic activity of A.<br />

arborescens leaf components as evaluated and confirmed<br />

in experimental animal models of diabetes (Beppu et al.,<br />

1993; 2006) are attributed to the presence of the<br />

polysaccharides, arboran A and B in the leaves of this<br />

plant (Hikino et al., 1986; Beppu et al., 2006). Katerere<br />

and Eloff (2005) also discussed the use of Aloes in<br />

diabetes. However, the mechanism whereby A.<br />

arborescens leaf components exert their hypoglycaemic<br />

effect remains unknown.<br />

An antidiabetic agent may be effective in reducing<br />

blood glucose concentration through: 1) stimulating<br />

insulin secretion from pancreatic beta-cells; 2) enhancing<br />

glucose uptake by fat and muscle cells; 3) altering the<br />

activity of some enzymes (e.g. α-glucosidase, α-amylase,<br />

glucokinase and glucose-6-phosphatase) that are<br />

involved in glucose metabolism and 4) slowing down the<br />

absorption of sugars from the gut (Tanira, 1994; Klover<br />

and Mooney, 2004; Cheng and Fantus, 2005). The<br />

present study was undertaken to investigate the effects of<br />

aqueous A. arborescens leaf gel extract on fasting blood<br />

glucose levels, insulin secretion and activities of selected<br />

hepatic enzymes in normal and alloxan-induced diabetic<br />

rats.<br />

MATERIALS AND METHODS<br />

Plant material and preparation of AALGEt<br />

Leaves of A. arborescens were collected from a private garden in<br />

the North West province of the Republic of South Africa and<br />

confirmed as those of A. arborescens (Miller) by the South African<br />

National Biodiversity Institute (SANBI) (Genspec no. 2206- 12).<br />

Leaf gels were dried and milled into a fine powder after which<br />

AALGEt was prepared by homogenizing 25 g of the powder in 250<br />

ml of water, followed by centrifugation at 3000 xg for 20 min. The<br />

resulting supernatants were pooled and stored at 4°C until use.<br />

Animals and induction of diabetes<br />

Male albino Wistar rats weighing 220 to 280 g were obtained from<br />

the animal facility of the University of Cape Town, South Africa. All<br />

animals were kept in individual cages in an environmentally<br />

controlled room with a 12 h light/12 h dark cycle. The animals had<br />

free access to water and standard rat diet. The study was approved<br />

by the Ethics Committee of the University of Limpopo, South Africa<br />

(Animal Ethics Approval number AEC09/06). Diabetes mellitus was<br />

induced in 12 h fasted animals by intraperitoneal injection of alloxan<br />

monohydrate (Sigma, St. Louis, MO., USA) dissolved in sterile<br />

normal saline at a dose of 140 mg/kg body weight. Since alloxan is<br />

capable of producing fatal hypoglycaemia as a result of massive<br />

pancreatic insulin release (Szudelski, 2001; Dhandapani et al.,<br />

2002), rats were treated with 20% glucose solution intraperitoneally,<br />

8 h after alloxan treatment. The rats were then kept for the next 24<br />

h in their cages with 5% glucose in dispenser bottles to prevent<br />

hypoglycaemia (Dhandapani et al., 2002). Diabetes was confirmed<br />

in rats by measuring fasting blood glucose, 72 h post alloxan<br />

treatment. Rats with marked hyperglycaemia (blood glucose level<br />

above 11.0 mM) were selected for use in the study. The highest<br />

Mogale et al. 4243<br />

blood glucose concentration measured in a diabetic rat was 25 mM.<br />

Experimental procedure<br />

The experiment was carried out using four groups of eight rats<br />

each: Group I (untreated normal rats), group II (treated normal rats),<br />

group III (untreated diabetic rats) and group IV (treated diabetic<br />

rats). Experimental animals (groups II and IV) received a daily dose<br />

of 300 mg/kg body weight of AALGEt incorporated in their drinking<br />

water for 3 weeks. Control animals received water without AALGEt<br />

during the same period. Fasting blood glucose levels were<br />

determined by means of MediSense ’s Optimum Xceed Diabetes<br />

Monitoring system and blood glucose test strips before treatment<br />

(day 0) and on day 1 (4 h), day 7, day 14 and day 21 after initiation<br />

of treatment. Body weights and water intake of all groups of rats<br />

were assessed on the same days that blood glucose levels were<br />

measured.<br />

On day 22, blood was withdrawn from the heart of each rat under<br />

general anaesthesia. The collected blood was heparinised and<br />

centrifuged for 20 min at 3000 xg and used for the mea-surement of<br />

plasma glucose, plasma triglycerides and plasma insulin. Following<br />

blood collection, rats were euthanized using sodium thiopentone<br />

(200 mg/kg). Liver tissue was removed from each animal, washed<br />

with saline and stored at -70°C until used for the assay of<br />

glucokinase and glucose-6-phosphatase activities.<br />

Determination of plasma glucose, triglycerides and insulin<br />

levels<br />

Plasma glucose and plasma triglyceride levels were measured<br />

using commercially available kits based, respectively on the glucose<br />

oxidase and the glycerol blanked methods. Both methods<br />

were adapted to the Beckman Coulter®’s UniCell DXC 800<br />

Synchron® Clinical System. Plasma insulin levels were determined<br />

by the enzyme linked immunosorbant assay (ELISA) adapted to the<br />

Beckman Coulter® Ireland Inc’s UniCell DXI 800 Access®<br />

Immunoassay System.<br />

Measurement of hepatic glucokinase activity<br />

About 500 mg liver tissues from each rat was homogenized in 5 ml<br />

ice-cold homogenization buffer containing 100 mM KCl and 20 mM<br />

HEPES (pH 7.9). The homogenates were centrifuged at 3000 xg for<br />

20 min at 4°C. Glucokinase activity in the supernatants was<br />

measured by the pH sensitive colorimetric assay published by<br />

Chapman and Wong (2002) in a reaction mixture containing 20 mM<br />

HEPES pH 7.9, 5 mM ATP, 5 mM MgCl2, 5 mM D-glucose and 0.2<br />

mM Cresol Red. Absorbance measurements were taken at 570 nm<br />

after incubation at 37°C for 30 min. The glucokinase activity in the<br />

supernatants was expressed as units/mg protein. One unit of<br />

glucokinase is defined as the amount of protons liberated/minute at<br />

37°C under the specified assay conditions. Protein concentration in<br />

supernatants was assayed by the method of Lowry et al. (1951)<br />

using bovine serum albumin as a standard.<br />

Assay of hepatic glucose-6-phosphatase activity<br />

Liver microsomal fractions were prepared according to the ultracentrifugation<br />

method published by Pari and Satheesh (2006).<br />

Briefly, rat liver (1.0 g) was homogenized in 5 ml ice-cold 5 mM<br />

HEPES (pH 7.4) containing 0.25 M sucrose. The homogenate was<br />

centrifuged at 10 000 ×g for 20 min, at 4°C after which the<br />

supernatant was centrifuged again at 105 000 ×g for 60 min. The<br />

microsomal pellets obtained were re-suspended in same buffer and


4244 Afr. J. Biotechnol.<br />

Table 1. Effects of 3 weeks treatment with AALGEt (300 mg/kg body weight) on blood glucose<br />

levels of normal and alloxan-induced diabetic rats.<br />

Rat groups<br />

Average blood glucose (mmol/L)<br />

Day 0 Day 7 Day 14 Day 21<br />

Normal control rats 4.1 ±0.5 5.9 ±0.6 4.7±0.9 4.8 ±0.7<br />

Normal + AALGEt 4.3 ±1.3 5.2 ±0.8 4.6 ±0.5 5.1 ±0.7<br />

Diabetic control rats 1.5 ±1.3 2.2 ±8.2 >27.8** >27.8**<br />

Diabetics + AALGEt 20.1 ±4.2 1.2 ±5.6 ¥ 9.4 ±4.3 ¥¥ 7.2 ±6.8 ¥¥<br />

Each value represents ± SD, n = 8. Mean values were significantly different from those of normal control<br />

rats. *p < 0.01, **p < 0.001. Mean values were significantly different as compared to diabetic control<br />

rats, ¥ p < 0.01, ¥¥ p < 0.001.<br />

their glucose-6-phosphatase enzyme activity was assayed according<br />

to the method developed by Baginski et al. (1974). In this<br />

method, glucose-6-phosphate is converted by glucose-6-phosphatase<br />

(G6Pase) in liver microsomal fractions into glucose and<br />

inorganic phosphate. The inorganic phosphate liberated is allowed<br />

to react with ammonium molybdate in the presence of ascorbic acid<br />

(Fiske and Subbarow, 1925). The amount of phosphate liberated<br />

per unit time determined as the blue phosphomolybdenum complex<br />

at 700 nm is a measure of G6Pase. G6Pase activity was expressed<br />

as units/mg of protein. One unit of glucose-6-phosphatase activity<br />

was defined as the amount of Pi liberated/min at 37°C under the<br />

specified assay conditions.<br />

Water consumption and body weight determination<br />

Daily water consumption was determined by calculating the difference<br />

between amount of water (200 ml) supplied and the volume<br />

of water remaining after 24 h. Body weight was determined<br />

gravimetrically.<br />

Statistical analysis<br />

Data expressed as mean ± SD were analyzed using the Sigma Stat<br />

statistical program (version 8.0). Comparisons were made between<br />

normal and alloxan-induced diabetic rats as well as between<br />

treated and untreated alloxan-induced diabetic rats by means of<br />

unpaired Student’s t-test and their significance were established by<br />

analysis of variance analysis (ANOVA). Differences of p < 0.05<br />

were considered statistically significant.<br />

RESULTS<br />

There was no significant difference in the fasting blood<br />

glucose levels of normal rats treated with AALGEt when<br />

compared with that of normal untreated rats (Table 1).<br />

However, a steady increase in the blood glucose levels of<br />

diabetic control rats was observed throughout the entire<br />

experiment. The increase in the blood glucose levels of<br />

untreated diabetic rats was significantly higher on day 7<br />

(p < 0.01), day 14 (p < 0.001) and day 21 (p < 0.001)<br />

when compared with normal control rats. Treatment of<br />

diabetic rats with AALGEt for 3 weeks significantly<br />

reduced their blood glucose levels when compared with<br />

those of diabetic control rats on day 7 (p < 0.01), day 14<br />

(p < 0.001) and day 21 (p < 0.001).<br />

At the end of the experimental period, plasma glucose,<br />

triglyceride and insulin were measured. Plasma glucose<br />

and triglyceride levels in untreated diabetic animals were<br />

significantly higher (p < 0.001 and p < 0.05, respectively)<br />

(Figure 1A and B).<br />

Treatment of diabetic rats with AALGEt for 3 weeks<br />

significantly reduced plasma glucose (p < 0.01) by 66.7%<br />

and plasma triglycerides by 25% when compared with<br />

untreated diabetic rats. Oral administration of AALGEt to<br />

diabetic rats for 3 weeks significantly increased plasma<br />

insulin levels when compared to diabetic controls (Figure<br />

1C).<br />

Changes in body weight and water intake of normal<br />

control, treated normal rats, diabetic controls and<br />

AALGEt treated diabetic rats on days 1, 14 and 21 of<br />

treatment are shown in Figure 2A and B. The changes in<br />

the activities of hepatic glucokinase (GK) and G6Pase in<br />

normal and diabetic control are shown in Table 2. Alloxan<br />

treatment caused a decrease in the hepatic GK activity<br />

and a significant increase (p < 0.05) in the activity of<br />

hepatic G6Pase of diabetic rats when compared to<br />

normal control rats (Table 2). Furthermore, oral administration<br />

of AALGEt to normal and diabetic rats did not<br />

cause any significant difference in the activity of hepatic<br />

GK. On the other hand, oral administration of AALGEt for<br />

3 weeks resulted in a significant decrease (p < 0.05) in<br />

hepatic G6Pase activity.<br />

A significant decrease in body weight was observed in<br />

untreated diabetic rats when compared with normal<br />

control rats on day 14 (p < 0.01) and day 21 (p < 0.001)<br />

(Figure 2A). There was a significant increase in the water<br />

intake of diabetic rats than in normal control rats on days<br />

7, 14 and 21 (p < 0.05, p < 0.01 and p < 0.001, respecttively)<br />

(Figure 2B). Treatment of diabetic rats with<br />

AALGEt did not significantly attenuate the observed<br />

weight loss. However, treatment of diabetic rats with<br />

AALGEt significantly reduced the water intake to lower<br />

levels than untreated diabetic rats (p < 0.01 on day 14<br />

and p < 0.001 on day 21).


Plasma glucose (mM/L)<br />

50Normal controls<br />

AALGEt treated normals<br />

2.0<br />

Diabetic controls<br />

AALGEt treated diabetics 1.8 B<br />

40<br />

30<br />

20<br />

10<br />

0<br />

A<br />

Rat groups<br />

**<br />

¥¥<br />

Plasma triglyceride (mmol/L)<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

B<br />

Rat groups<br />

Plasma insulin (umol/L)<br />

250<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

Mogale et al. 4245<br />

Rat groups<br />

Figure 1. Effects of 3 weeks treatment with AALGEt (300 mg/kg body weight) on plasma glucose (A), plasma triglyceride (B) and<br />

plasma insulin (C) levels of normal and alloxan-induced diabetic rats. Mean values were significantly different as compared to normal<br />

Figure 1: Effects of 3 weeks treatment with AALGEt (300 mg/kg body weight) on plasma glucose (A)<br />

plasma triglyceride (B) and plasma insulin (C) levels of normal and alloxan-induced diabetic rats. Mean<br />

values were significantly different compared to normal control rats, * P < 0.05, ** P < 0.01. Mean values<br />

were significantly different compared to diabetic control rats, ¥ P < 0.05, ¥¥ control rats, *p < 0.05, **p < 0.01. Mean values were significantly different as compared to diabetic control rats,<br />

P < 0.01.<br />

¥ P < 0.05, ¥¥ p < 0.01.<br />

DISCUSSION<br />

mice.<br />

Alloxan induces diabetes by damaging the insulin secreting<br />

cells of the pancreas leading to hypoinsulinemia and<br />

hyperglycaemia (Szudelski, 2001). In agreement with<br />

these known effects of alloxan, the blood glucose levels<br />

of untreated alloxan-induced diabetic rats were significantly<br />

increased throughout the current study when<br />

compared to those of normal control rats. Continuous<br />

treatment of alloxan-induced diabetic rats with AALGEt<br />

(300 mg/kg body weight) for a period of 3 weeks resulted<br />

in a significant decrease in the blood glucose levels of<br />

treated diabetic rats when compared to diabetic controls<br />

but no such effect was observed in normal treated rats.<br />

Thus, unlike the use of insulin or sulfonylurea drugs,<br />

which cause severe hypoglycaemia when taken in excessive<br />

doses (Bastaki, 2005; Cheng and Fantus, 2005),<br />

continuous use of AALGEt or its accidental overdose will<br />

not result in hypoglycaemic shock. Furthermore, results<br />

of the current study suggest that the blood glucose<br />

lowering effect of AALGEt can last for a longer period of<br />

time. These observations concur with the findings of<br />

Beppu et al. (1993, 2006) in alloxan-induced diabetic<br />

*<br />

¥<br />

Continuous treatment of alloxan-induced diabetic rats<br />

with AALGEt (300 mg/kg body weight) for 3 weeks also<br />

significantly increased (but did not normalize) the plasma<br />

insulin levels of diabetic rats as compared to diabetic<br />

controls. However, AALGEt did not significantly alter<br />

plasma insulin levels of normal rats. Thus, like the aloe<br />

vera leaf gel extract (Reynolds and Dweck,1999),<br />

AALGEt might exert its blood glucose lowering effects<br />

through stimulation of insulin secretion from pancreatic<br />

beta cells. However, the fact that AALGEt did not<br />

significantly alter the plasma insulin levels of normal rats<br />

but significantly increased plasma insulin levels of alloxan<br />

induced-diabetic rats towards the normal value, suggest<br />

that, AALGEt may either regenerate damaged pancreatic<br />

beta cells or protect them from further damage by alloxan.<br />

Since alloxan is known to exert its diabetogenic<br />

effect through generation of oxygen free radicals, this<br />

hypothesis is in agreement with the findings of Beppu et<br />

al. (2003) and Chacko et al. (2008), who reported that A.<br />

arborescens components possess free radical scavenging<br />

effects that may prevent pancreatic islet beta-cell<br />

destruction by free radicals generated by alloxan. Thus,<br />

C<br />

**<br />

C<br />

¥


4246 Afr. J. Biotechnol.<br />

Water intake (ml/rat/day)<br />

Figure 2. Effects of 3 weeks treatment with AALGEt (300 mg/kg body weight) on body weight (A) and water intake (B) of<br />

normal and alloxan-induced diabetic rats. Mean values were significantly different compared to normal control rats, * p <<br />

0.05, *** p < 0.001. Mean values were significantly different compared to diabetic control rats, ¥ p < 0.05, ¥¥ p < 0.01, ¥¥¥ p <<br />

0.001.<br />

Table 2. Effects of treatment with AALGEt (300 mg/kg body weight) on the activities of hepatic glucokinase<br />

and glucose-6-phosphatase<br />

Rat groups Glucokinase (U/g protein) Glucose 6- phosphatase (U/mg protein)<br />

Normal control rats 298.01 ± 11.4 0.198 ± 0.05<br />

Normal + AALGEt 304.56 ± 8.34 0.213 ± 0.06<br />

Diabetic control rats 282.82 ± 6.18 0.521 ± 0.02*<br />

Diabetics + AALGEt 288.13 ± 9.81 0.282 ± 0.06 ¥<br />

Each value represents ± SD, n = 8. Mean value was significantly different from those of normal control rats. *p <<br />

0.05. Mean value was significantly different as compared to diabetic control rats, ¥ p < 0.05.<br />

in this respect, AALGEt probably act like plant ex-tracts of<br />

Gymnema sylverstre (Chattopadhyay, 1998) and Ipomea<br />

batatas L. (Kusano and Abe, 2000) which are reported to<br />

repair pancreatic islet cells damaged by either alloxan or<br />

streptozotocin (Bnouham et al., 2006).<br />

Uncontrolled diabetes mellitus is often associated with<br />

abnormal plasma lipid levels, in particular, elevated<br />

plasma triglyceride levels and reduced plasma HDLcholesterol<br />

levels (Sniderman et al., 2002; Mooradian,<br />

2009). Hypertriglyceridemia represents an independent<br />

risk factor for the development of coronary heart disease<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

in people with type 2 diabetes (Ooi and Ooi, 1998;<br />

Sniderman et al., 2002). We have observed in this study,<br />

that continuous treatment of alloxan-induced diabetic rats<br />

with AALGEt (300 mg/kg body weight) for a period of 3<br />

weeks significantly reduced their plasma triglyceride<br />

levels when compared with diabetic control rats. Under<br />

normal circumstances, insulin inhibits the enzyme hormone<br />

sensitive lipase (HSL), which mobilizes free fatty<br />

acids (FFAs) from adipose tissues (Kwiterovich, 2000;<br />

Smith et al., 2005). FFAs released by the action of HSL<br />

are the major substrates for the hepatic triglyceride


synthesis (Kwiterovich, 2000). Insulin also activates the<br />

enzyme lipoprotein lipase (LPL), which clears triglyceride<br />

rich proteins from blood plasma (Kwiterovich, 2000;<br />

Smith et al., 2005). However, in a diabetic state, HSL is<br />

not inhibited and LPL is not activated due to insulin<br />

deficiency (Kwiterovich, 2000; Mlinar et al., 2007). Thus,<br />

the effect of AALGEt on plasma triglyceride levels could<br />

be attributed to its effects on plasma insulin levels.<br />

Hepatic glycogenolysis and gluconeogenesis are major<br />

causes of fasting hyperglycemia seen in both type 1 and<br />

type 2 diabetes mellitus (Smith et al., 2005). Inhibition of<br />

enzymes involved in gluconeogenesis and/or glycolgenolysis<br />

therefore constitutes an alternative approach to<br />

suppress hepatic glucose production and lower fasting<br />

plasma glucose (Agius, 2007). G6Pase catalyses the<br />

final reaction in hepatic glucose production by both gluconeogenesis<br />

and glycogenolysis, and has been proposed<br />

as a potential target for antihyperglycaemic drugs for<br />

type-2 diabetes (Pari and Satheesh, 2006; Agius, 2007).<br />

A significant increase in the activity of the hepatic<br />

G6Pase of untreated alloxan-induced diabetic rats as<br />

compared to normal rats was observed in the current<br />

study. Treatment of diabetic rats with AALGEt (300 mg/kg<br />

body weight) for 3 weeks resulted in a significant<br />

reduction of GPAase activity when compared to diabetic<br />

controls. Thus, AALGEt could contain substances that act<br />

like the oral hypoglycaemic agent, metformin (Bastaki,<br />

2005; Cheng and Fantus, 2005) and plant extracts of<br />

Boerhaavia diffusa L. (Pari and Satheesh, 2004) and<br />

Pterocarpus marssupium (Pari and Satheesh, 2006)<br />

which have been shown to lower blood sugar levels by<br />

inhibiting hepatic production of glucose.<br />

Glucokinase is a rate limiting enzyme involved in the<br />

hepatic storage and utilization of glucose (Smith et al.,<br />

2005). Following a carbohydrate rich meal, hepatic GK<br />

clears a significant amount of glucose from the blood<br />

circulation and facilitates its conversion into glycogen and<br />

fatty acids (Smith et al., 2005; Agius, 2007). Thus,<br />

hepatic GK play a significant role in the prevention of<br />

postprandial hyperglycemia. The activity of hepatic GK is<br />

reported to be reduced in alloxan-induced experimental<br />

diabetes (Zhang et al., 2007) and some antidiabetic plant<br />

extracts are reported to exert their hypoglycemic activity,<br />

in part by increasing the activity of this enzyme (Pari and<br />

Satheesh, 2006). In agreement with the known effects of<br />

alloxan on the activity of GK (Zhang et al., 2007), we<br />

have observed in this study that the hepatic GK activity<br />

was significantly reduced when compared to normal<br />

controls. However, oral administration of AALGEt (300<br />

mg/kg body weight) to both normal and alloxan-induced<br />

diabetic rats for 3 weeks did not significantly alter the<br />

activity of hepatic GK in these animals.<br />

Uncontrolled diabetes mellitus is also associated with<br />

body weight loss, polyurea, polydypsia and polyphagia<br />

(Bastaki, 2005). Weight loss in diabetes mellitus results<br />

from a combination of dehydration (caused by frequent<br />

urination), increased breakdown of muscle proteins (for<br />

Mogale et al. 4247<br />

provision of gluconeogenic amino acids) and enhanced<br />

mobilization of fat stores (provision of FFAs to be used as<br />

fuel) (Bastaki, 2005; Smith et al., 2005). These events<br />

are directly or indirectly related to insulin deficiency or<br />

lack of insulin actions (Smith et al., 2005). We have<br />

observed a significant decrease in the body weight of<br />

untreated alloxan-induced diabetic rats as compared to<br />

normal control rats. The loss of weight in alloxan-induced<br />

diabetic rats was accompanied by increased water intake<br />

(polydypsia) by these rats, suggesting that dehydration<br />

was a contributing factor towards weight loss. Continuous<br />

treatment of alloxan-induced diabetic rats with AALGEt<br />

for 3 weeks significantly prevented body weight loss.<br />

However, the mean body weight of AALGEt treated rats<br />

was still significantly reduced when compared to that of<br />

the normal control rats. The marked improvement in body<br />

weight loss of treated diabetic rats as compared to<br />

untreated alloxan induced diabetic rats could also be<br />

attributed to the effect of AALGEt on plasma insulin levels<br />

and hence on improved glucose metabolism in these<br />

rats.<br />

The findings of this study suggest that oral administration<br />

of an aqueous extract of the leaf gel of A.<br />

arborescens (AALGEt) (300 mg/kg body weight) for 3<br />

weeks brings about significant beneficial effects in<br />

various physiological/biochemical parameters altered by<br />

the diabetic state. Although, the exact chemical compound(s)<br />

responsible for the antidiabetic activity of<br />

AALGEt are currently unknown, AALGEt appears to exert<br />

its blood glucose lowering effect in alloxan-induced<br />

diabetic rats by protecting insulin secreting pancreatic<br />

beta cell from further damage by alloxan. Further studies,<br />

in particular, histological studies of pancreatic beta cells<br />

of AALGEt treated alloxan-induced diabetic rats are<br />

needed in order to confirm this hypothesis. Furthermore,<br />

the isolation and identification of active compounds<br />

AALGEt will go a long way in promoting the use and<br />

acceptance of A. arborescens leaf as an antidiabetic<br />

remedy. Although, lower doses may also have led to a<br />

positive effect, the dosage that was used in these experiments<br />

(equivalent to 2.4 g/day per 80 kg human) were<br />

probably higher than the dosage used by traditional<br />

healers. In general, these results strongly support the<br />

traditional use and preparation of AALGEt for treating<br />

diabetes in humans.<br />

ACKNOWLEDGEMENTS<br />

The authors would like to thank Mrs A. Freitas for her<br />

assistance in handling and maintaining the animals. The<br />

study was funded by the Department of Physiology,<br />

University of Limpopo, South Africa. The authors would<br />

also like to thank Prof Leon Hay, Head of the Department,<br />

for making funds available for this study. L.J. Shai<br />

is a recipient of NRF funding under the Thutuka-REDIBA<br />

programme.


4248 Afr. J. Biotechnol.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 4249-4255, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2158<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Increased vascular endothelial growth factor (VEGF)<br />

expression in rats with spinal cord injury by<br />

transplantation of bone marrow stromal cells<br />

Deshui Yu 1,3 , Libo Liu 2 , Xiaodong Zhi 3 , Yang Cao 3 and Gang lv 1 *<br />

1 Department of Orthopaedics, the First Affiliated Hospital, China Medical University, Shenyang 110001, People’s<br />

Republic of China.<br />

2 Department of Neurobiology, College of Basic Medicine, China Medical University, Shenyang 110001, People’s<br />

Republic of China.<br />

3 Department of Orthopaedics, The First Affiliated Hospital, Liaoning Medical University, Jinzhou 121001, People’s<br />

Republic of China.<br />

Accepted 24 March, 2011<br />

Vascular endothelial growth factor (VEGF), a well known angiogenic factor, has been shown to have<br />

direct and/or indirect influence on spinal cord injury (SCI). The purpose of this study is to observe<br />

VEGF expression changes in rats with SCI by bone marrow stromal cells (BMSCs) treatment. The mRNA<br />

expression of VEGF in rats was analyzed by semi-quantitative RT- PCR and the protein expression level<br />

was quantified by means of western blot and immunohistochemistry technology. It was found that<br />

VEGF was significantly up-regulated in BMSCs treatment group in comparison to the sham group and<br />

DMEM group on mRNA level. On protein level, VEGF was also highly increased in BMSCs treatment<br />

group, which reached the highest level after 14 days treatment. The present study suggests a potential<br />

local role for VEGF as mediators of SCI which might provide a certain reasonable clue to clarify<br />

molecular mechanisms of BMSCs treatment in SCI.<br />

Key words: Vascular endothelial growth factor (VEGF), spinal cord injury, bone marrow stromal cells, reverse<br />

transcription-polymerase chain reaction (RT-PCR), western blot, immunohistochemistry.<br />

INTRODUCTION<br />

Each year, many people worldwide suffer from spinal<br />

cord injury (SCI). These injuries cause death of neural<br />

cells, severance and demyelination of descending and<br />

ascending axons, and consequently, loss of motor and<br />

sensory function. Endogenous repair efforts fail to repair<br />

*Corresponding author. Email: ganglv514@yahoo.com.cn. Tel:<br />

+86-0416-467-3886. Fax: +86-0416-467-3528.<br />

Abbreviations: SCI, Spinal cord injury; BMSCs, bone marrow<br />

stromal cells; DMEM, Dulbecco's modified Eagle's medium;<br />

FBS, fetal bovine serum; RT, room temperature; DEPC,<br />

diethylpyrocarbonate; VEGF, vascular endothelial growth factor;<br />

PCR, polymerase chain reaction; IDV, integrated densities<br />

value; EDTA, ethylenediaminetetraacetic acid; DAB,<br />

diaminobenzidine; COX-2, cyclooxygenase-2.<br />

the spinal cord and, as a result, the functional impairments<br />

are permanent (Wrigley et al., 2009; Wollaars et al.,<br />

2007). Potential treatments for SCI are being tested in<br />

the clinic but so far, none of these have emerged as one<br />

that reverses the devastating functional consequences of<br />

SCI, however, several studied demonstrated that bone<br />

marrow stromal cells (BMSCs) may also have therapeutic<br />

promise for SCI (Shields et al., 2010; Bunge., 2008).<br />

Survival, migration and differentiation of BMSCs after<br />

transplantation have been widely researched in recent<br />

years (Shields et al., 2010; Bunge, 2008; Someya et al.,<br />

2008). The underlying molecular mechanisms of repairing<br />

injured spinal cord and improving functional recovery with<br />

BMSCs have not, however, been largely understood.<br />

Better understanding of the molecular mechanism of<br />

BMSCs treatment for SCI may contribute significantly to<br />

the development of BMSCs reagents as well as help in


4250 Afr. J. Biotechnol.<br />

SCI control. Consequently, it is of vital importance to<br />

define the molecular mechanisms of BMSCs treatment<br />

for successful treatment of SCI.<br />

Angiogenesis plays an important role in increasing<br />

blood flow at the lesioned site, where hypoxia occurs<br />

after SCI and is an essential component of nerve regeneration<br />

across a gap of injured spinal cord (Carmeliet et<br />

al., 2002). Similarly, neo-angiogenesis is also essential<br />

for trauma repair, which requires nutrients and oxygen to<br />

overcome hypoxia (Carmeliet et al., 2002). It has been<br />

reported that SCI may induce angiogenesis (Casella et<br />

al., 2002), however, under normal circumstances after<br />

SCI, the angiogenesis of the injured spinal cord is<br />

insufficient to support the spinal cord plasticity required<br />

for functional recovery. Recent data from the medical<br />

literature have also shown a positive correlation between<br />

the density of blood vessels and functional improvement<br />

following SCI (Blight., 1991; Widenfalk et al., 2003).<br />

These findings suggest that stimulating angiogenesis<br />

may improve recovery of function after SCI. BMSCs have<br />

the ability to stimulate angiogenesis, which had been<br />

reported in recent medical literature (Tang et al., 2006;<br />

Chen et al., 2003; Kayo et al., 2005). BMSC may<br />

promote angiogenesis through VEGF expression in the<br />

spinal cord, according to the results of the present study,<br />

which may contributes to shed more light on the<br />

molecular mechanism of BMSCs treatment in SCI.<br />

In this study, we investigated whether BMSCs transplantation<br />

could induce the expression of VEGF in the<br />

injured spinal cord and provided a certain reasonable<br />

clue that shed more light on the molecular mechanisms<br />

of BMSCs treatment in SCI.<br />

MATERIALS AND METHODS<br />

The adult male Wistar rats (12 weeks, 250 to 300 g) were<br />

purchased from the Center for Experimental Animals of China<br />

Medical University. All animal experiments were carried out in<br />

accordance with the National Institute of Health Guide for the Care<br />

and Use of Laboratory Animals.<br />

Culture and identification of MSCs<br />

BMSCs were isolated from rat bone marrow and cultured as<br />

described by previous literature (Yano et al., 2005). Briefly, fresh<br />

whole bone marrow was harvested aseptically from tibias and<br />

femurs by 5 ml syringe needle. The marrow was extruded with 5 ml<br />

of Dulbecco's modified Eagle's medium (DMEM)-low glucose<br />

medium. Bone marrow was mechanically dissociated to obtain a<br />

homogeneous cell suspension. The cells were placed in a 25 cm 2<br />

plastic flask for cell culture with 5 ml DMEM-low glucose medium<br />

containing 10% fetal bovine serum (FBS). The cells were incubated<br />

at 37°C in 95% humidity and 5% CO2 for 24 h. At this time, nonadherent<br />

cells were removed by replacing the medium. The culture<br />

medium was replaced three times a week. After the cultures have<br />

reached 80 ~ 90% confluency, they were lifted by incubation in a<br />

solution containing 0.25% trypsin for 5 min at 37°C for passage.<br />

Cultured BMSCs were indentified with antibodies against CD34 and<br />

CD44 according to previous literature (Yano et al., 2005).<br />

Spinal cord injury model preparation and intramedullary spinal<br />

cord injection<br />

The adult male Wistar rats (12 weeks, 250 to 300 g) were<br />

anesthetized with pentobarbital and laminectomies were performed<br />

at the T8 to T10 level. Spinal cords were injured using the weight<br />

drop technique according to Allen’s method (Allen, 1914) with a<br />

slight modification. A plastic impounder (2-mm diameter) was<br />

placed gently on the exposed dura and a 10-giron weight was<br />

dropped from a height of 10 cm onto the impounder. The weight<br />

and impounder were immediately removed after impact and<br />

paravertebral muscle and skin were closed. Rats were randomly<br />

divided into three groups: Sham group, DMEM group and BMSCs<br />

group.<br />

Thirty minutes after injury, rats received four injections of a<br />

suspension of BMSCs (passage 3 ~ 4 cells, 75000 in 3µl of DMEM<br />

each) into peri-lesion area of the exposed spinal cord (BMSCs<br />

group). Two injections were applied 1 mm rostral and two injections<br />

1 mm caudal to the lesion epicenter, and one injection at each side<br />

0.5 mm lateral to the cord midline. The microneedler was carefully<br />

inserted from the dorsal surface 1.75, 1.25 and 0.75 mm deep into<br />

the spinal cord. Each rat received a total of 3.0 × 10 5 BMSCs. In<br />

DMEM group, the rats received four injections of an equal volume<br />

of DMEM alone at the same position and depth. Sham controls<br />

underwent the same operations but without spinal cord insult. Rats<br />

used in this study were treated strictly according to the NIH Guide<br />

for Care and Use of Laboratory Animals.<br />

RNA preparation and semi-quantitative RT-PCR<br />

Total RNA was isolated from frozen spinal tissue using TRIzol<br />

reagent (Invitrogen Corp., Carlsbad, CA) according to the<br />

manufacturer’s protocol and as described in the online supplement.<br />

In short, the spinal tissue was ground with mortar and pestle,<br />

cooled by liquid nitrogen of the ground tissue, and 100 mg was<br />

incubated with 1 ml TRIzol for 5 min at room temperature (RT). Cell<br />

debris was removed by centrifugation (12,000 ×g at 4°C for 10 min)<br />

and 0.4 ml chloroform was added. After vortexing, the mix was<br />

incubated for 5 min at RT. The phases were separated by<br />

centrifugation (12,000 ×g at 4°C for 15 min) and the aqueous phase<br />

was transferred to a new tube. 0.6× volume of isopropyl alcohol and<br />

a 0.1× volume of 3 M sodium acetate were added to this aqueous<br />

phase and incubated for 10 min at 4°C. The precipitated RNA was<br />

pelleted by centrifugation (12,000 ×g at 4°C for 15 min) and after<br />

the removal of the supernatant, the RNA pellet was washed twice<br />

with 70% ethanol. After drying, the RNA was resuspended in 30 µl<br />

diethylpyrocarbonate (DEPC)-treated water. The quality and<br />

quantity of the RNA was verified by the presence of two discrete<br />

electropherogram peaks corresponding to the 28S and 18S rRNA<br />

at a ratio approaching 2:1. Using mRNA as template, singlestranded<br />

cDNAs were generated by Superscript II reverse<br />

transcriptase (Invitrogen) according to the manufacturer’s<br />

directions. The vascular endothelial growth factor (VEGF) primer<br />

sequences were as follows: Sense prime: 5′-GAGTATATCT<br />

TCAAGCCGTCCTGT-3′; anti-sense prime: 5′- ATCTGCATAG<br />

TGACGTTGCTCTC -3′. GAPDH (Applied Biosystems) served as<br />

the internal control. The polymerase chain reaction (PCR)<br />

conditions were 94°C for 3 min, followed by 30 cycles of DNA<br />

amplification (45 s at 94°C, 1 min at 61°C and 1 min 30 s at 72°C)<br />

and 8 min incubation at 72°C. PCR products were separated by<br />

electrophoresis at a constant voltage (2 V/cm) in a 1.2% (w/v)<br />

agarose gel. Images were captured using a Gel Print 2000i/VGA<br />

(Bio Image), and the integrated densities value (IDV) was analyzed<br />

with computerized image analysis system (Motic Images Advanced<br />

3.2). All DNA manipulations were performed as described by<br />

Sambrook and Russell, (2001).


Western blot<br />

Yu et al. 4251<br />

Figure 1. Bone marrow stromal cells, culture and detect. A, Third passage of bone marrow mesenchymal stem cells was<br />

observed by inverted phase contrast microscope; B, the expression of CD44 in bone marrow stromal cells was observed<br />

by phase contrast the inverted microscope<br />

In order to detect protein expression level of VEGF, western blot<br />

was performed as described in the online supplement. The spinal<br />

cord tissues were obtained from the peri-lesion region at days 3, 7<br />

and 14 post-surgery. Protein homogenates of spinal cord samples<br />

were prepared by rapid homogenization in 10 volumes of lysis<br />

buffer (2 mM ethylenediaminetetraacetic acid (EDTA), 10 mM<br />

ethylene glycol tetraacetic acid (EGTA), 0.4% NaF, 20 mM Tris-<br />

HCl, pH7.5). Tissue homogenate were centrifuged at 17,000 xg for<br />

1 h at 4°C and the protein concentration in the supernatant was<br />

determined by the Coomassie (G250) binding method. Equal<br />

amounts of protein (20 µg) from each sample were loaded and<br />

separated into a 4 to 7.5% gradient sodium dodecyl sulfate<br />

polyacrylamide gel electrophoresis (SDS-PAGE) under denaturing<br />

conditions. Electroblotting proteins were transferred onto nitrocellulose<br />

membranes (Santa Cruz Biotechnology, Inc). After<br />

blocking with 5% nonfat dry milk overnight at 4°C, membranes were<br />

incubated for 2 h at room temperature in agitation with the following<br />

antibodies: rabbit polyclonal anti-VEGF (dilution 1:400; Santa Cruz<br />

Biotechnology, Inc), and rabbit polyclonal anti-β-actin (dilution<br />

1:400; Santa Cruz Biotechnology, Inc). Secondary horseradish<br />

peroxidase conjugated rabbit anti-goat/goat anti-rabbit antibodies<br />

(Santa Cruz Biotechnology, Inc) were used at 1:5000 dilution for 2 h<br />

at room temperature in agitation. Immunoreactive bands were<br />

visualized using the enhanced chemiluminescence (ECL kit, Santa<br />

Cruz Biotechnology, Inc) and scanned using Chemi Imager 5500<br />

V2.03 software. The integrated densities value (IDV) was analyzed<br />

with computerized image analysis system (Fluor Chen 2.0) and<br />

normalized with that of β-actin.<br />

Immunohistochemistry<br />

To detect expression and localization of VEGF in spinal cord tissue,<br />

immunohistochemistry was performed. The cryostat sections were<br />

thawed, air-dried and then blocked with goat serum for 30 min at<br />

room temperature, and then incubated with rabbit polyclonal anti-<br />

VEGF antibody (dilution 1:150, Santa Cruz Biotechnology, USA) at<br />

4°C over night. Following reaction with primary antibodies, the<br />

sections were stained using the ABC Kit (Santa Cruz Biotechnology,<br />

USA), and the color was developed with diaminobenzidine<br />

(DAB). Negative controls were conducted by exchange of primary<br />

antibody for phosphate buffered saline (PBS).<br />

Statistics analysis<br />

To calculate the statistical differences among the sham, DMEM and<br />

BMSCs groups, the statistical package SPSS13.0 (SPSS Incorporated,<br />

USA) was used for all analysis. One-way analysis of<br />

variance (ANOVA) followed by Bonferroni’s post hoc test were<br />

utilized to determine the significant difference among multiple<br />

groups. Student’s t test was used to determine the significance of<br />

differences between the groups. All values were expressed as<br />

mean ±SD. In general, p values less than 0.05 were considered<br />

statistically significant.<br />

RESULTS<br />

BMSC cell culture and detection<br />

Most cells suspended in culture medium, non-adherent<br />

cells were removed by replacing the medium. Adherent<br />

cells began to proliferate and form cell colony at about 72<br />

h later. Cells surrounded the cell colony center to<br />

distribute toward circumference. Cell morphology was<br />

homogeneous, which appeared spindle-shaped with<br />

serial sub-cultivation (Figure 1A). Most cultured adherent<br />

passage 3 cells expressed CD44 (Figure 1B). In contrast,<br />

a majority of adherent passage 3 cells were negative for<br />

CD34.<br />

Semi-quantitative RT-PCR analysis of VEGF<br />

expression<br />

In order to detect the mRNA expression of VEGF in rat<br />

with SCI by BMSC treatment, reverse transcription PCR<br />

was conducted. As shown in Figure 2, VEGF mRNA<br />

levels in BMSCs group were significantly increased at 1,


4252 Afr. J. Biotechnol.<br />

1 3 5<br />

Day<br />

Figure 2. The mRNA expression of VEGF at different time points in rats from each group<br />

after transplantation. A, The expression of VEGF in different group by RT-PCR; M: marker; 1:<br />

sham operation group; 2, 4, 6: DMEM group at transplantation after 1, 3, 5 days,<br />

respectively; 3, 5, 7: BMSCs group at transplantation after 1, 3, 5 days, respectively. B: The<br />

integrated density value of vascular endothelial growth factor mRNA at different time points in<br />

rats from different group after transplantation. Different mark represent the significant<br />

difference at p < 0.05<br />

3 and 5 days after transplantation of BMSC as compared<br />

to DMEM group (P < 0.05), moreover, DMEM group were<br />

significantly higher than sham group (P < 0.05) in<br />

different time. These results showed that transplantation<br />

of BMSC could up-regulate VEGF mRNA expression.<br />

Western blot analysis of VEGF expression<br />

The western blot was performed to detect protein expression<br />

of VEGF. The result showed that VEGF expression<br />

was at a low level in the normal group rats. The<br />

expression level of VEGF protein in the DMEM group rats<br />

increased and peaked at 3 days (P < 0.01), then decreased<br />

quickly with the extension of time, approaching the<br />

expression levels of the sham group rats at 7 and 14<br />

days (P < 0.05) after spinal cord injury. In the BMSCs<br />

group rats, the up-regulation of VEGF protein expression<br />

was observed at 7 and 14 days after SCI as compared<br />

with that in DMEM group rats (P < 0.05), which were<br />

time-dependent and reached the highest level at 14 days<br />

after spinal cord injury (Figure 3).<br />

Immunohistochemistry analysis of VEGF expression<br />

In order to further confirm VEGF protein expression,<br />

immunohistochemistry was conducted. The results<br />

showed that there were no obvious differences (P < 0.05)<br />

in VEGF expression between BMSCs and DMEM groups<br />

rats at 3 day after transplantation (Table 1). The expression<br />

level of VEGF in BMSCs group rats were increased


3 7 14<br />

Day<br />

Figure 3. The expression of VEGF at different time points in rats from each group after<br />

transplantation in protein level. A: The expression of VEGF in different group by western blot; 1:<br />

sham operation group; 2, 4, 6: DMEM group at transplantation after 3, 7, 14 days, respectively; 3,<br />

5, 7: BMSCs group at transplantation after 3, 7, 14 days, respectively. B: The integrated density<br />

value of vascular endothelial growth factor protein at different time points in rats from different<br />

group after transplantation. Different mark represent the significant difference at p < 0.05.<br />

Table 1. The mean optical density of VEGF at different time points in rat in all groups after the transplantation by<br />

immunohistochemical staining (n = 6,x ± s). Different mark represent the significant difference at p < 0.05.<br />

Time point after the<br />

transplantation (day)<br />

3 7 14<br />

Sham group 0.1800±0.0061 0.1811±0.0089 0.1823±0.0063<br />

DMEM group 0.3153±0.0098 ##<br />

0.2381±0.0095 ## 0.1954±0.0038<br />

BMSCs group 0.3150±0.0097 0.2520±0.0052* 0.2281±0.0079**<br />

significantly at 7 and 14 days (P < 0.05) after<br />

transplantation when compared with that in DMEM group<br />

(Figure 4 and Table 1).<br />

DISCUSSION<br />

VEGF is essential for developmental angiogenesis and<br />

Yu et al. 4253<br />

plays important roles in adult animals to control vascular<br />

permeability and homeostasis, blood pressure, and<br />

pathological angiogenesis associated with wound healing<br />

(Ku et al., 1993; Shibuya, 2006; Lee et al., 2007). Based<br />

on its major role as an angiogenic factor and autocrine<br />

growth factor for many diseases, therapeutic angiogenesis<br />

drugs have been developed for clinical use by<br />

improvement of VEGF expression. Previous studies


4254 Afr. J. Biotechnol.<br />

Figure 4. The expression of VEGF by immunohistochemical staining at 7 days after transplantation. A, Sham operation group; B,<br />

DMEM group; C, BMSCs group.<br />

had shown that administration of VEGF could significantly<br />

increase the microvascular density in central nervous<br />

system (Blight., 1991; Widenfalk et al., 2003). In this<br />

study, we found that BMSCs treatment not only increased<br />

the level of VEGF expression, but also extended the time<br />

of VEGF expression in SCI, which would strengthen the<br />

biological effects of VEGF in promoting angiogenesis of<br />

SCI, and this seems to be compatible with the reported<br />

results that BMSCs implantation could induce<br />

angiogenesis in a rat model of chronic hind limb ischemia<br />

(Chen et al., 2003), acute myocardial infarction and<br />

stroke (Rubén et al., 2006). The present study suggests<br />

that VEGF probably plays a pivotal role in the treatment<br />

of SCI by BMSC.<br />

BMSCs are mesenchymal elements normally providing<br />

structural and functional support for hemopoiesis<br />

(Pittenger et al., 1999), which have the potential to differentiate<br />

into other kinds of cells such as osteoblasts,<br />

adipocytes, and chondrocytes (Pittenger et al., 1999;<br />

Prockop, 1997), and produce a variety of neurotrophic<br />

factors, cytokines, cell adhesion molecules, and growth<br />

factor such as VEGF, thereby providing the pathway for<br />

regenerating axons. BMSCs transplanted into a rat model<br />

of chronic hind limb ischemia (Al-Khaldi et al., 2003),<br />

acute myocardial infarction (Tang et al., 2006) and<br />

ischemic brain (Chen et al., 2003) have provided their<br />

beneficial effects by enhancing angiogenesis. The<br />

angiogenesis stimulated by the BMSCs transplantation is<br />

considered to at least in part, result from angiogenic<br />

factors secreted by BMSCs and/or stimulating endogenous<br />

parenchymal cells (Chen et al., 2003). VEGF is<br />

one of the most potent angiogenic factors, capable of promoting<br />

proliferation, migration and survival of endothelial<br />

cells and plays the most important role in the initiation of<br />

new blood vessel formation (Kayo et al., 2005; Breen.,<br />

2007; Leung et al., 1989), therefore, VEGF may play<br />

important role in the treatment of SCI by BMSC.<br />

In conclusion, we have demonstrated that VEGF<br />

expression was significantly up-regulated in BMSC group<br />

in comparison to the normal group and DMEM group. The<br />

current study provides a new approach for studying the<br />

molecular mechanism underlying BMSCs treatment in<br />

SCI. However, this molecular mechanism is largely<br />

unknown; elucidation of these questions will depend on<br />

further experiments. The next proposal of our study will<br />

be to analyze whether VEGF expression could be accompanied<br />

by cyclooxygenase-2 (COX-2), a protein relevant<br />

in regulating pro-inflammatory processes, which have<br />

been demonstrated to play a relevant role in VEGF<br />

regulation (Siner et al., 2007). These data have to be<br />

confirmed in future experiments, which would provide<br />

further valuable clues to clarify molecular mechanisms of<br />

BMSCs treatment in SCI.<br />

ACKNOWLEDGEMENTS<br />

We thank Dr. Yanfeng Wang for his assistance with<br />

histological preparations. This work was supported by<br />

Special Fund for Scientific Research of Doctor-degree<br />

Subjects in Colleges and Universities of Ministry of Education<br />

(20060159019) and Natural Science Foundation of<br />

Liaoning Province (20052096).<br />

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907-918.


African Journal of Biotechnology Vol. 10(20), pp. 4256-4258, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2225<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Short Communication<br />

In-ovo evaluation of the antiviral activity of methanolic<br />

root-bark extract of the African Baobab (Adansonia<br />

digitata Lin)<br />

Sulaiman, Lanre K. 1,2 , Oladele, Omolade A. 2 *, Shittu, Ismaila A. 1 , Emikpe, Benjamin O. 3 ,<br />

Oladokun, Agnes T. 1 and Meseko, Clement A. 1<br />

1 Viral Research Department, National Veterinary Research Institute, Vom, Plateau State, Nigeria.<br />

2 Department of Veterinary Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.<br />

3 Department of Veterinary Pathology, University of Ibadan, Ibadan, Oyo State, Nigeria.<br />

Accepted 18 March, 2011<br />

Application of ethnoveterinary medicine in the control of poultry diseases is being embraced in many<br />

parts of the world for more profitable production. This study investigated the antiviral property of the<br />

root-bark extract of the African Baobab tree (Adansonia digitata Lin) against Newcastle disease virus.<br />

One hundred and seventy five specific antibody negative embryonated chicken eggs and a field strain<br />

of Newcastle disease virus were used to test for the antiviral activity of the methanolic root bark extract<br />

of the tree. Following a 2-h exposure of the virus to eight graded concentrations of the extract, it was<br />

incubated at 37°C and observed 12-hourly for mortality. Dead embryos were spot tested for<br />

haemagglutinating activity. The 100EID50 concentration of the virus and the highest concentration of the<br />

extract were inoculated as positive and negative controls, respectively. All eggs inoculated with the<br />

virus alone as well as 5 and 2 mg/ml extract/virus suspensions, died by 72 h post inoculation, while no<br />

mortality was observed amongst those inoculated with 250 and 200 mg/ml virus/extract suspensions as<br />

well as those inoculated with the pure extract. Mortalities of 40, 40 and 20%, due to viral activity were<br />

recorded for 25, 50 and 100 mg/ml suspensions, respectively. This study showed that methanolic rootbark<br />

extract of A. digitata has antiviral activity against Newcastle disease virus in ovo, particularly when<br />

used at dose rates of 200 and 250 mg/ml.<br />

Key words: Ethnoveterinary, African Baobab, antiviral activity, Newcastle disease virus.<br />

INTRODUCTION<br />

A major constraint to profitable broiler production is<br />

disease outbreaks. The tropical environment provides<br />

optimum conditions like high environmental temperature<br />

and relative humidity as well as poor biosecurity for<br />

disease agents to thrive. These are major challenges<br />

being faced by the poultry industry in Nigeria. In the face<br />

of persistent disease outbreaks and in spite of the use of<br />

*Corresponding author. E-mail: laprecieux@yahoo.com or<br />

lade.oladele@gmail.com. Tel: 234-806-113-8531.<br />

Abbreviation: DMSO, Dimethylsulfoxide; EID50, embryo<br />

infective dose 50; HA, haemagglutination; ND, Newcastle<br />

disease; NVRI, Nigerian Veterinary Research Institute; SAN,<br />

specific antibody negative.<br />

conventional chemicals as disinfectants and drugs, it has<br />

become imperative to seek means of achieving effective<br />

biosecurity and control measures which ethnoveterinary<br />

preparations could offer (Gueye, 1999; Musa et al.,<br />

2008).<br />

The Baobab tree (Adansonia digitata Lin) is indigenous<br />

in many African countries (Wickens, 1982; Sidibe and<br />

Williams, 2002). Many parts of the plant, especially<br />

leaves, fruit pulp, seeds and bark fibers, have been used<br />

traditionally for medicinal and nutritional purposes (Sidibe<br />

and Williams, 2002; Chadare et al., 2009) and some<br />

commercial enterprises produce standardized preparations<br />

derived from its parts. The medicinal applications<br />

include treatment of intestinal and skin disorders and<br />

various uses as anti-inflammatory, anti-pyretic and<br />

analgesic agents (Ramadan et al., 1994; Palombo, 2006;


Ajose, 2007; Karumi et al., 2008). In addition, antibacterial,<br />

antiviral and anti-trypanosomal activities of the<br />

plant extracts have been reported (Anani et al., 2000;<br />

Hudson et al., 2000; Atawodi et al., 2003; Vimalanathan<br />

and Hudson, 2009). Most of the reports were on the<br />

efficacy of the leaves, fruit pulp, seeds and bark fibers of<br />

this plant with very little information on the antiviral<br />

properties associated with the root-bark extracts.<br />

However, the root bark is commonly used in traditional<br />

African Medicine in the treatment of fever (SCUC, 2006;<br />

Wickens, 2008). This study was therefore carried out to<br />

evaluate the antiviral property of the methanolic root bark<br />

extracts of the African Baobab tree (A. digitata Lin)<br />

against Newcastle disease (ND) virus.<br />

MATERIALS AND METHODS<br />

Extract preparation<br />

Root-bark of A. digitata was harvested, cut into small pieces and<br />

air-dried on a clean surface for 10 days. Two kilograms of the rootbark<br />

was soaked (completely immersed) in 5 L of methanol in a<br />

covered container for 3 days (Wickens, 2008; Egunyomi et al.,<br />

2010). The methanol was decanted and fresh methanol was added<br />

to the root-bark. The procedure was repeated twice and the extract<br />

was poured into a small glass container and refrigerated.<br />

Antiviral activity test<br />

Preparation of virus: Extract inoculum<br />

The virus used was a field strain of ND virus from the Virology<br />

Research Laboratory of the National Veterinary Research Institute<br />

(NVRI), Vom, Nigeria. The virus was propagated and titrated in 9<br />

day-old specific antibody negative (SAN) embryonated chicken<br />

eggs and the 100EID50 was calculated. The extract was diluted to<br />

the desired concentrations of 250, 200, 100, 50, 25, 10, 5 and 2<br />

mg/ml. These extract concentrations were substituted for the virus<br />

buffer diluent at the end point dilution of the virus to achieve the<br />

100EID50. The virus/extract suspensions were kept at 4°C for 2 h to<br />

allow reaction to occur.<br />

Egg inoculation<br />

The embryonated chicken eggs were labeled according to the<br />

extract concentrations used. A set of plastic egg trays were<br />

thoroughly cleaned with Virkon ®, the eggs were swabbed with<br />

70% alcohol in cotton wool and transferred into the cleaned trays.<br />

The swabbed eggs were placed in the micro-safety cabinet where<br />

they were punched and immediately inoculated with the<br />

extract/virus suspension via the allantoic route. Each egg was<br />

inoculated with 0.1 ml of the inoculum and 5 eggs were inoculated<br />

with each con-centration of the extract/virus suspension, while<br />

inoculating the 250 mg/ml extract only (without virus) and the<br />

100EID50 concentration of the virus (without extract- virus control)<br />

as negative and positive controls, respectively. The eggs were<br />

sealed with molten wax and incubated at 37°C. The inoculated<br />

eggs were monitored for embryonic death 12-hourly for up to 96 h<br />

post inoculation. Dead embryos were removed and chilled in the<br />

refrigerator for 3 h after which they were opened to check for<br />

haemagglutinating (HA) activity by spot testing.<br />

Spot haemagglutination test<br />

Sulaiman et al. 4257<br />

Dead embryos that had been chilled were brought out of the<br />

refrigerator and kept at room temperature for about 30 min. The<br />

eggs were swabbed and placed in the biosafety cabinet. The shell<br />

of each egg was opened to reveal the air space and a pipette was<br />

used to dispense a drop of 1% washed chicken red blood cells on a<br />

white tile. A wire loop was thoroughly flamed and used to pick a<br />

drop of the allantoic fluid which was mixed with the drop of blood.<br />

The tile was gently rocked and observed for visible agglutination,<br />

indicating viral activity (Thayer and Beard, 1998; Murakawa et al.,<br />

2003). This was done for every egg and the observations were<br />

recorded.<br />

RESULTS AND DISCUSSION<br />

All eggs inoculated with the virus control, 5 and 2 mg/ml<br />

of the extract/virus suspension died between 48 and 72 h<br />

of inoculation and showed positive haemagglutination by<br />

spot-testing. However, no mortality was observed amongst<br />

the embryonated eggs inoculated with the extract only,<br />

250 and 200 mg/ml of extract/virus suspension up till 96 h<br />

post inoculation. There were varying percentages of<br />

embryo mortality amongst the 100, 50, 25 and 10 mg/ml<br />

extract/virus suspension groups (Table 1). The haemagglutination<br />

test was carried out to associate embryo<br />

mortality with viral activity. The results of mortalities and<br />

HA spot-testing are shown in Table 1. Only the group of<br />

eggs inoculated with 5 mg/ml extract/virus suspension<br />

had a dead embryo at 24 h post inoculation.<br />

This study has evaluated the potentials of the methanolic<br />

root-bark extract of A. digitata Lin as an antiviral<br />

agent against ND virus using multiplication of the ND<br />

virus in embryonated egg as an indicator for antiviral<br />

property. The results of the virus propagation showed<br />

that 250 and 200 mg/ml concentrations of the extract<br />

completely inhibited the growth of ND virus in<br />

embryonated chicken eggs, indicating that the methanolic<br />

root bark extract of A. digitata at these doses are<br />

effective against the virus when exposed in-ovo.<br />

The results of this study corroborrates the findings of<br />

Vimalanathan and Hudson (2009) that the methanolic,<br />

water and dimethylsulfoxide (DMSO) extract of the leaf,<br />

stem and pulp of A. digitata has both antiviral effect,<br />

especially against influenza virus and anti-inflammatory<br />

effects. The antiviral property observed might be ascribed<br />

to the presence of various potentially bioactive ingredients<br />

(Chadare et al., 2009), including triterpenoids,<br />

flavonoids and phenolic compounds, but at present, the<br />

antiviral activity observed in this study could not be<br />

ascribed to specific compounds.<br />

At extract concentrations of 100, 50 and 25 mg/ml,<br />

there were 20, 40 and 40% mortalities due to viral activity<br />

when compared with 0% at concentrations of 250 and<br />

200 mg/ml. This indicates inhibitory rather than virucidal<br />

effect of the extract on the ND virus at these doses.<br />

Whereas, at concentrations of 2 to 10 mg/ml, as well as<br />

at 0 mg/ml (virus control), the study recorded total or near


4258 Afr. J. Biotechnol.<br />

Table 1. Embryo mortality and haemagglutination (HA) test result of embryonated chicken eggs inoculated with graded doses<br />

of A. digitata extract/ND virus suspension.<br />

Virus<br />

Mortality HA Test Mortality due to<br />

(mg/ml) 24 h pi 48 h pi 72 h pi 96 h pi +ve -ve viral activity (%)<br />

250 0/5 0/5 0/5 0/5 0 5 0<br />

200 0/5 0/5 0/5 0/5 0 5 0<br />

100 0/5 0/5 1/5 0/4 1 4 20<br />

50 0/5 1/5 3/4 1/1 2 3 40<br />

25 0/5 0/5 2/5 0/3 2 3 40<br />

10 0/5 0/5 3/5 2/2 5 0 100<br />

5 1/5 0/4 4/4 - 4 1 80<br />

2 0/5 0/5 5/5 - 5 0 100<br />

Vc 0/5 0/5 5/5 - 5 0 100<br />

Uic 0/5 0/5 0/5 0/5 0 5 0<br />

Ec 0/5 0/5 0/5 0/5 0 5 0<br />

Vc = Virus control; Uic = uninoculated control; Ec = egg control; pi = post inoculation.<br />

total mortalities due to viral activity, indicating the ineffectiveness<br />

of the extract at these doses. The dead<br />

embryos in the 50 and 5 mg/ml extract concentrations<br />

that were negative for haemagglutinating activity must be<br />

a result of nonspecific deaths from manipulations during<br />

inoculation (Villegas, 1998).<br />

In conclusion, this work has shown that the methanolic<br />

root-bark extract of A. digitata Lin has direct antiviral<br />

activity against ND virus and could therefore be useful in<br />

the control of the disease in poultry birds.<br />

REFERENCES<br />

Ajose FOA (2007). Some Nigerian plants of dermatologic importance.<br />

Int. J. Derm. 46(suppl 1): 48-55.<br />

Anani K, Hudson JB, de Souza C, Akpagana K, Towers GHN, Arnason<br />

JT, Gbeassor M (2000). Investigation of Medicinal Plants of Togo for<br />

Antiviral and Antimicrobial Activities. Pharm. Biol. 38: 40-45.<br />

Atawodi SE, Bulus T, Ibrahim S, Ameh DA, Nok AJ, Mamman N,<br />

Galadima M (2003). In Vitro trypanocidal effect of methanolic extract<br />

of some Nigerian savannah plants Afr. J. Biotechnol. 2: 317-321.<br />

Chadare FJ, Linnemann AR, Hounhouigan JD, Nout, MJR, Van Boekel<br />

MAJ (2009). Baobab Food Products: A Review on their Composition<br />

and Nutritional Value. Crit. Rev. Food Sci. Nutr. 49: 254-274.<br />

Egunyomi A, Gbadamosi IT, Osiname KO (2010). Comparative<br />

effectiveness of ethnobotanical mosquito repellents used in Ibadan,<br />

Nigeria. J. Appl. Biosci. 36: 2382-2388.<br />

Gueye EF (1999). Ethnoveterinary medicine against poultry diseases in<br />

African villages. World Poult. Sci. J. 55: 187-198.<br />

Hudson JB, Anani K, Lee MK, De Souza C, Arnason JT, Gbeassor M<br />

(2000). Further Investigations on the Antiviral Properties of Medicinal<br />

Plants of Togo. Pharm. Biol. 38: 46-50.<br />

Karumi Y, Augustine AI, Umar IA (2008). Gastroprotective effects of<br />

aqueous extract of Adansonia digitata leaf on ethanol-induced<br />

ulceration in rats. J. Biol. Sci. 8: 225-228.<br />

Murakawa Y, Sakaguchi K, Soejima K, Eriguchi S, Takase K, Sueyoshi<br />

M, Nagatomo H, Ito T, Otuski K (2003). Heamagglutinating activity of<br />

the lentogenic Newcastle disease virus strain MET95. Avian Pathol.<br />

32(1): 39-45.<br />

Musa U, Abdu PA, Dafwang II, Katsayal UA, Edache JA, Karsin PD<br />

(2008). Ethnoveterinary remedies used for the management of<br />

Newcastle disease in some selected local government areas of<br />

Plateau state, Nigeria. Nig. J. Pharm. Sci. 7(1): 126-130.<br />

Palombo EA (2006). Phytochemicals from traditional medicinal plants<br />

used in the treatment of diarrhoea: Modes of action and effects on<br />

intestinal function. Phytother. Res. 20: 717-724.<br />

Ramadan A, Harraz FM, El-Mougy SA (1994). Anti-inflammatory,<br />

analgesic and antipyretic effects of the fruit pulp of Adansonia<br />

digitata. Fitoterapia, 65: 418-422.<br />

SCUC (2006). Baobab manual, Field manual for extension workers and<br />

farmers. University of Southampton, Southampton, UK.<br />

Sidibe M, Williams JT (2002). Baobab. Adansonia digitata. International<br />

Centre for Underutilized Crops. University of Southampton p. 105<br />

(ISBN 0854327649).<br />

Thayer SG, Beard CW (1998). Serologic procedures. In: Swayne E,<br />

Glisson JR, Jackwood MW, Pearson JE, Reed WM (eds). A<br />

laboratory manual for the isolation and identification of avian<br />

pathogens. American Association of Avian Pathologists. Kennett<br />

Square, PA. USA pp. 255-266<br />

Villegas P (1998). Titration of biological suspensions. In: In: Swayne E,<br />

Glisson JR, Jackwood MW, Pearson JE, Reed WM (eds). A<br />

laboratory manual for the isolation and identification of avian<br />

pathogens. American Association of Avian Pathologists. Kennett<br />

Square, PA. USA, pp. 248-254.<br />

Vimalanathan S, Hudson JB (2009). Multiple inflammatory and antiviral<br />

activities in Adansonia digitata (Baobab) leaves, fruits and seeds. J.<br />

Med. Plan. Res. 3(8): 576-582.<br />

Wickens GE (1982). The baobab-Africa’s upside-down tree. Kew<br />

Bulletin. 37: 173-209.<br />

Wickens GE (2008). The Baobabs: Pachycauls of Africa, Madagascar<br />

and Australia. Springer.


African Journal of Biotechnology Vol. 10(20), pp. 4259-4264, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2064<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Effect of gamma radiation on different stages of Indian<br />

meal moth Plodia interpunctella Hübner (Lepidoptera:<br />

Pyralidae)<br />

Hosseinzadeh Abbas 1 , Shayesteh Nouraddin 2 , Zolfagharieh Hamid Reza 3 , Bernousi Iraj 5 ,<br />

Babaei Mohammad 3 , Zareshahi Hasan 4 , Ahari Mostafavi Hossein 3 and Fatollahi Hadi 3<br />

1 Department of Entomology, Agricultural Faculty, Urmia University, Urmia, Iran.<br />

2 Department of Plant Medicine, Mahabad Branch, Islamic Azad University, Mahabad, Iran.<br />

3 Agricultural, Medical and Industrial Research School, Karaj, Iran.<br />

4 Radiation Application Research School, Yazd, Iran.<br />

5 Department of Agronomy and Plant Breeding, Agricultural faculty, Urmia University, Urmia-Iran.<br />

Accepted 4 March, 2011<br />

Indian meal moth Plodia interpunctella Hübner is one of the most important stored products pests in<br />

the world. In this research, the effect of gamma irradiation was studied on different developmental<br />

stages of this pest and the doses required to prevent each of these developmental stages was<br />

investigated. From the results, required dose to prevent larval emergence from irradiated 1 to 24 h eggs<br />

was 400 Gray (Gy), and 400 Gy was required to prevent pupae from 15 days old larvae. Also, the dose of<br />

radiation required to prevent adult emergence from irradiated 5 days old pupa was 650 Gy. According to<br />

the results, dose of 650 Gy is adequate to control all immature stages of this pest. In addition, the effect<br />

of gamma ray was studied on developmental stage period of each irradiated existence stage till adult<br />

eclosion. The results revealed that there was a dose-dependent increase in the developmental periods,<br />

and the growth index of the adults was significantly decreased with increasing dose of radiation<br />

administered to the eggs, larvae and pupae too. It is concluded that irradiation can be used as a safe<br />

method to control stored pests.<br />

Key words: Gamma irradiation, prevention dose, developmental period, growth index, Plodia interpunctella.<br />

INTRODUCTION<br />

Iran is the largest producer of pistachios and dates in the<br />

world and according to the Food and Agriculture Organization<br />

(FAO), approximately 10% of stored products in<br />

Iran are lost due to insect infestation (Zolfagharieh,<br />

2002). The Indian meal moth Plodia interpunctella<br />

Hübner is a cosmopolitan pest whose larvae can infest a<br />

variety of stored grain, nuts, pulses, meals, dried fruits<br />

and processed foods (Simmons and Nelson, 1975).<br />

Methyl bromide (MB) is a widely used fumigant for the<br />

control of insect infestation in many agricultural commo-<br />

*Corresponding author. E-mail: abas1354@yahoo.com or<br />

abmelis@gmail.com.<br />

Abbreviations: MB, Methyl bromide; PTM, potato tuber moth.<br />

dities. As methyl bromide has the potential to destroy the<br />

ozone layer in the environment, alternative methods had<br />

to be sought to replace its use in insect control<br />

(Gochangco et al., 2002). It has been reported that<br />

irradiation could offer an important and attractive alternative<br />

for the export commodity fumigation uses of MB<br />

and for eliminating the problem of chemical residues<br />

(Ahmed, 1991; Marcotte, 1993). Brower and Tilton (1983)<br />

reported that irradiation is an approved method of direct<br />

control for stored product insect in wheat and wheat flour<br />

in many countries, and indications were that it would<br />

soon be approved for all grain, grain products and other<br />

dry food commodities. Commodities are exposed to<br />

gamma rays from the radioactive isotopes cesium 137 or<br />

cobalt 60, electron beams, or X rays converted from an<br />

electron beam generator. The mode of action of ionizing<br />

irradiation as a quarantine treatment involves breaking


4260 Afr. J. Biotechnol.<br />

chemical bonds. When this happens to DNA, normal<br />

development or reproduction of the organism may be<br />

prevented. Decades of research conducted worldwide on<br />

radiation disinfestation of food and agricultural products<br />

have shown that this method is effective. The advantages<br />

of irradiation processing include no undesirable residues<br />

in the foods treated, no resistance developed by pest<br />

insects and few significant changes in the physicchemical<br />

properties or the nutritive value of the treated<br />

products (Ahmed, 2001; Lapidot et al., 1991; Boshra and<br />

Mikhaiel, 2006). Unlike other disinfestations techniques,<br />

irradiation does not need to kill the pest immediately to<br />

provide quarantine security; therefore, live (but nonviable<br />

or sterile) insects may occur with the exported commodity<br />

(Follett and Griffin, 2006).<br />

In the present work, we have tested gamma radiation<br />

sensitivity of different life stages of P. interpunctella<br />

Hübner. The study was also designed to assess the<br />

effect of gamma irradiation on different stages of P.<br />

interpunctella.<br />

MATERIALS AND METHODS<br />

Insect culture<br />

P. interpunctella Hübner used in all experiments were derived from<br />

a laboratory culture initially established for larvae collection from<br />

infested pistachios in Urmia Province, Northwest Iran. The larvae<br />

were reared on artificial diet containing bran (800 g), dry yeast<br />

powder (160 g), honey (300 g) and glycerol (200 ml / 1000 g) dry<br />

ingredient. The diet was decontaminated at 60°C for 6 h.<br />

Throughout the experiments, insect cultures were maintained under<br />

controlled laboratory conditions of 28 ± 1°C and 65% ± 5% relative<br />

humidity (RH) with a 14:10 h light : dark photoperiod. Larvae were<br />

placed in 500 ml glass containers half full of rearing medium.<br />

Fifteen virgin pairs of males and females (0 to24 h old) were<br />

selected for the experiments. These adults were placed in funnels<br />

capped with screen lids. Funnels were placed over radiology film<br />

for 24 h and oviposited eggs on the film were collected every 12 h.<br />

Irradiation of eggs<br />

Twenty eggs (1 to 2 days old) were placed in glass Petri dishes and<br />

irradiated in a calibrated 60 Co irradiator (Issledovatel type PX-30)<br />

with the activity of 4.5 kCi and dose rate of 0.65 Gy/s at the Iran<br />

Nuclear Research Center for Agriculture and Medicine. Ferric<br />

dosimetry system was used for the facility.<br />

Radiation was applied at nine dose levels ranging from 0 to 400<br />

Gy to the eggs. Controls were subjected to the same conditions as<br />

the irradiated eggs in that, they were transferred to the irradiator<br />

and subsequently removed without exposure to radiation. After<br />

irradiation, eggs were returned immediately to the laboratory and<br />

then placed in Petri dishes that had a central well made by ringing a<br />

central area (2 cm diameter) with glue and allowing the glue to dry.<br />

Rearing medium was placed in the Petri dish around the central<br />

well to provide food for any hatched larvae, and the apparatus was<br />

placed at 28 ± 1°C and 65 ± 5% RH. The Petri dishes were<br />

examined under a binocular microscope, and the number of<br />

hatched eggs was counted daily until no further hatched egg was<br />

observed. The rearing medium containing the small larvae was then<br />

transferred to Petri dishes containing food. Pupation and adult<br />

emergence of these larvae were recorded. Four replicate batches<br />

of eggs were used for each dose level and the control.<br />

Irradiation of 15 days old larvae<br />

Fifteen days old larvae were selected for uniformity in size before<br />

irradiation. Larvae were irradiated in the same irradiator and dose<br />

ranges from 0 to 400 Gy. Immediately after treatment, irradiated<br />

and control larvae were transferred to Petri dishes containing<br />

rearing medium. The Petri dishes were subsequently transferred to<br />

the rearing conditions. Pupation, adult emergence and mortality of<br />

these larvae were recorded every 2 days. Mortality of larvae was<br />

determined by the brown color with no observable movement. The<br />

adults that developed from irradiated larvae were removed and<br />

counted daily. Four replicate (20 larvae for each replicate) were<br />

used for each dose level and control.<br />

Developmental periods and longevity of the adults derived<br />

from irradiated eggs, larvae and pupae<br />

The developmental periods, from egg to adult of P. interpunctella<br />

Hübner that developed from irradiated eggs, larvae and pupae were<br />

recorded. The longevity of the adults was also determined. The<br />

growth index (percentage adult eclosion/total developmental period)<br />

was calculated for the irradiated eggs, larvae and pupae.<br />

Irradiation of pupae<br />

Five-day old pupae were placed in Petri dishes and irradiated at six<br />

dose levels of 0, 150, 250, 350, 450, 550 and 650 Gy. The number<br />

of adults that emerged from irradiated pupae was recorded. Four<br />

replicates (20 pupae in each) were used for each dose level.<br />

Statistical analysis<br />

Data from the experiments were subjected to analysis of variance<br />

(ANOVA) using the Statistical Package for the Social Sciences<br />

(SPSS) for windows 11.5. Data were transformed using arcsine √x<br />

before ANOVA. Means were separated at the 5% significance level<br />

by the Tukey test.<br />

RESULTS AND DISCUSSION<br />

Effects of gamma radiation on eggs<br />

The data obtained from experiments dealing with the irradiation<br />

of eggs are summarized in Table 1. A significant<br />

reduction in hatched eggs was observed and it was<br />

correlated with the radiation doses (F = 596.522; df = 8; P<br />

< 0.05). Percentage larval emergence from irradiated<br />

eggs was 93.75% in the untreated controls but was<br />

reduced to 2.81% at a dose of 350 Gy, and all irradiated<br />

eggs were completely sterile at 400 Gy. The percentage<br />

of emergent larvae that survived to the pupa stage also<br />

decreased with increasing radiation doses (F = 769.212;<br />

df = 8; P < 0.05). At doses of 250 and 300 Gy, pupal<br />

development was 10.31 and 4.37%, respectively.<br />

The percentage of pupation that survived to the adult<br />

stage was also decreased with increasing radiation doses<br />

(F = 300.892; df = 8; P < 0.05). Percentage adult


Table 1. Egg hatch, pupation, and adult emergence of the P. interpunctella irradiated as eggs (1 to 2 days old).<br />

Dose (Gy) Egg hatch (%) ± SE Pupation (%) ± SE Adult emergence (%) ±SE<br />

0 93.75±1.61 a 75.00±1.02 a 61.25±0.72 a<br />

50 78.12±1.20 b 65.00±1.02 b 60.00±1.02 a<br />

100 62.5±1.02 c 52.50±1.44 c 48.75±1.25 b<br />

150 43.13±1.20 d 35.00±1.02 d 31.87±1.20 c<br />

200 31.87±1.20 e 20.62±1.20 e 16.25±0.72 d<br />

250 21.25±0.72 f 10.31±0.79 f 8.75±.72 e<br />

300<br />

350<br />

400<br />

11.87±1.20 g<br />

2.81±0.79 h<br />

0 i<br />

4.37±1.20 g<br />

Means within each column followed by the same latter are not significantly different (P > 0.05).<br />

0 h<br />

0 h<br />

1.87±1.20 f<br />

Table 2. Pupation, adult emergence and mortality (%) of the P. interpunctella irradiated as<br />

larvae (15 days old).<br />

Dose (Gy) Pupation(%)±SE Adult emergence (%) ±SE Mortality(%) ±SE<br />

0 85.62±1.57 a 60.00±1.77 a 11.87±1.20 g<br />

150 76.25±0.72 b 45.94±0.60 b 17.81±1.07 f<br />

200 51.87±1.20 c 21.25±0.72 c 35.31±1.07 e<br />

250 37.50±1.77 d 8.12±1.20 d 51.87±1.20 d<br />

300 20.31±1.02 e 0 e 61.87±1.20 c<br />

350 5.00±1.02 f 0 e 81.87±1.20 b<br />

400 0 g 0 e 100 a<br />

Means within each column followed by the same latter are not significantly different (P > 0.05).<br />

emergence from irradiated eggs was 61.25% in the<br />

untreated controls but was reduced to 1.87% at a dose of<br />

300 Gy and no adult emerged at doses of 350 Gy and<br />

above.<br />

Effects of gamma radiation on 15 days old larvae<br />

The effects of gamma radiation on irradiated larvae are<br />

shown in Table 2. The data showed that the percentage<br />

of irradiated larvae that survived to the pupal stage were<br />

decreased with increasing radiation doses (F = 1077.006;<br />

df = 6; P < 0.05). The percentages of pupae that developed<br />

from irradiated larvae were 5% at 350 Gy when<br />

compared with 85.62% in the control. The percentage of<br />

pupation that survived to the adult stage were also<br />

decreased with increasing radiation doses (F = 998.931;<br />

df = 6; P < 0.05). Statistical analysis of data indicated that<br />

irradiation significantly affected mortality percentages of<br />

larvae (F = 1038.098; df = 6; P < 0.05). Mortality of<br />

irradiated larvae began 4 days after the treatment and<br />

continued through the time of observation. Irradiation at<br />

400 Gy caused 100% mortality.<br />

0 f<br />

0 f<br />

Abbas et al. 4261<br />

Effects of gamma radiation on the developmental<br />

period and longevity of the adults derived from<br />

irradiated eggs, larvae and pupae<br />

There was a dose-dependent increase in the<br />

developmental time of P. interpunctella Hübner adults<br />

developed from irradiated eggs (F = 21.876; df = 7; P <<br />

0.05), larvae (F = 42.931; df = 7; P < 0.01) and pupae (F<br />

= 21.650; df = 7; P < 0.05) (Table 3). The mean developmental<br />

time from egg to adult was 44.20 days in the<br />

controls, which rose to 52.50 days for insects derived<br />

from eggs irradiated with a dose of 350 Gy. The<br />

development of the irradiated larvae was also extended<br />

from 23.40 days in the controls to 36.40 days for insects<br />

exposed to a dose of 350 Gy. The mean developmental<br />

time from pupa to adult was 3.70 days in the controls,<br />

which rose to 6.90 days at a dose of 350 Gy. The growth<br />

index of the adults was significantly decreased with<br />

increasing doses of radiation administered to the eggs (F


4262 Afr. J. Biotechnol.<br />

Table 3. Mean (± SE) developmental period of P. interpunctella adults irradiated as eggs, larvae and pupae a .<br />

Dose<br />

(Gy)<br />

Developmental period from eggs to adults (days) Growth index b<br />

Eggs treated Larvae treated Pupae treated Eggs treated Larvae treated Pupae treated<br />

0 44.20±0.63 e 23.40±0.65 c 3.70±0.15 d 1.38 a 2.56 a 25.00 a<br />

50 45.20±0.44 de 24.20±0.74 c 3.80±0.20 d 1.32 a 2.12 b 23.87 b<br />

100 45.60±0.70 de 25.80±0.49 bc 4.50±0.17 cd 1.05 b 1.86 c 19.46 c<br />

150 46.40±0.65 cde 27.30±0.67 b 5.00±0.30 c 0.67 c 1.68 c 17.59 d<br />

200 47.40±0.65 bcd 30.50±0.72 a 5.50±0.28 bc 0.33 d 0.70 d 11.68 e<br />

250 48.20±0.61 bc 32.00±0.80 a 6.10±0.28 ab 0.17 e 0.25 e 7.77 f<br />

300 49.40±0.37 b - 6.90±0.23 a 0.03 f - 5.37 g<br />

350 52.50±0.40 a - - - - 5.16 g<br />

a Means followed by the same letter in a column within each dose are not significantly different (P > 0.05); b growth index: percentage adult<br />

eclosion/total developmental period.<br />

Adult emergence (%)<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

92.5a<br />

66.87b<br />

35c<br />

23.75d<br />

12.5e<br />

Control 150 250 350 450 550 650<br />

Dose (Gy)<br />

Figure 1. Adult emergence of the P. interpunctella irradiated as pupae (5 days old).<br />

= 1141.967; df = 7; P < 0.05), larvae (F = 456.928; df = 7;<br />

P


obtain complete sterility for Ephestia cautella (Walker)<br />

and P. interpunctella eggs respectively (Ozyardimci et al.,<br />

2006). In our study, a dose of 350 Gy completely<br />

prevented adult emergence from irradiated eggs. Ayvaz<br />

and Tuncbilek (2006) found that no Ephestia kuehniella<br />

Zeller late-instar larvae received an irradiation dose of<br />

250 Gy as emerged adults.<br />

When the effects of six gamma radiation doses ranging<br />

from 50 to 1000 Gy were investigated against all life<br />

stages of E. cautella, the development of adults from<br />

treated eggs and larvae was prevented by 300 and 200<br />

Gy, respectively (Cogburn et al., 1973). In the present<br />

study, a dose of 400 Gy completely prevented larval<br />

development and the larvae did not reach pupation. The<br />

minimum dose required to prevent adult emergence from<br />

P. iterpunctella exposed as larvae was 300 Gy, while<br />

doses required to cause death were 450 Gy and above<br />

(Azelmat et al., 2005). A dose of 250 Gy was sufficient to<br />

give complete mortality for last-instar larvae of E.<br />

kuehniella Zeller (Ayvaz and Tuncbilek, 2006). Our<br />

results showed that, when the prevention of adult<br />

emergence is used as a standard for measuring the<br />

effectiveness of radiation against P. interpunctella larvae,<br />

a dose of 300 Gy is required. It was also found that the<br />

ultimate development of adults from 11-days-old P.<br />

interpunctella larvae was completely prevented when<br />

these larvae were exposed to 149 Gy (Johnson and Vail,<br />

1988). Ayvaz et al. (2006) reported that younger larvae<br />

were more sensitive to radiation than the older ones, and<br />

that the dose required to prevent adult emergence was<br />

lower (200 Gy) than for mature larvae (250 Gy). Cogburn<br />

et al. (1973) reported that from the larvae of Cadra<br />

cautella Walker treated with 20 krad (200 Gy), no adults<br />

were produced. Mansour (2002) also reported that<br />

200 Gy doses were enough to prevent adult emergence<br />

from irradiated mature larvae of codling moth Cydia<br />

pomonella (L.). Ayvaz and Tunçbilek (2006) found that a<br />

dose of 200 Gy applied to the young larvae of E.<br />

kuehniella completely prevented female adult emergence<br />

(all emerged moths were males).<br />

There was a dose-dependent delay in the developmental<br />

period of the P. iterpunctella eggs, larvae and<br />

pupae. The longevity of the treated larvae increased<br />

when compared with controls that continued development<br />

to adult emergence. Hallman (2000) noted that insects<br />

may live for considerable periods of time after irradiation.<br />

Makee and Saour (2003) assumed that unbalanced<br />

hormonal system led to prolonged developmental time in<br />

the F1 larvae of the potato tuber moth (PTM),<br />

Phthorimaea operculella Zeller. Hosseinzadeh et al.<br />

(2010) found that there was a dose-dependent increase<br />

in the developmental time of Oryzaephilus surinamensis<br />

L. adults developed from irradiated eggs, larvae and<br />

pupae. Increasing post-treatment longevity for irradiated<br />

P. interpunctella, the false codling moth, Cryptophlebia<br />

leucotreta Meyrick, the Mediterranean flour moth, E.<br />

kuehniella, and the red flour beetle Tribolium castaneum<br />

Abbas et al. 4263<br />

Herbst have been reported previously (Azelmat et al.,<br />

2005; Johnson and Vail, 1988; Bloem et al., 2003; Mehta<br />

et al., 1990; Ayvaz and Tuncbilek, 2006). Typically, irradiated<br />

nymphs or larvae will have a prolonged nymphal<br />

or larval stage and may live longer than non-irradiated<br />

control insects (Hasan and Khan, 1998).<br />

When the pupae of P. interpunctella were irradiated,<br />

the percentage of adult emergence was decreased by<br />

doses up to 650 Gy. When male and female pupae of<br />

Ephestia calidella (Guenee) were irradiated with doses of<br />

200 to 800 Gy, the percentage adult emergence was<br />

decreased in accordance with increasing gamma<br />

radiation doses (Boshra and Mikhaiel, 2006). This work<br />

also showed that a 1000 Gy dose prevented the emergence<br />

of both sexes.<br />

Hallman (2000) reported that some stored-product<br />

moths, especially the Angoumois grain moth, Sitotraga<br />

cerealella (Oliver) and the Indian meal moth P.<br />

interpunctella (Hübner), were among the most tolerant<br />

arthropods to radiation. In comparison with dipteran<br />

species, Lepidoptera require much higher levels of<br />

ionizing radiation to obtain full sterility (LaChance and<br />

Graham, 1984). The main cause of this difference is<br />

thought to be as a result of the different kinetic organization<br />

of chromosomes in these two groups of insects.<br />

The Diptera possess typical monocentric chromosomes<br />

with kinetic activity restricted to the centromere, whereas<br />

lepidopteran chromosomes are holokinetic (Gassner and<br />

Klemetson, 1974).<br />

The results of this study support the assumption that a<br />

dose of 400 Gy is required in order to prevent hatching of<br />

eggs and 300 Gy is required to prevent the larvae from<br />

reaching adulthood. It is recommended that dose of 650<br />

Gy should be used to control population growth of P.<br />

interpunctella when targeting pupae are within stored<br />

products. Delayed developmental periods were observed<br />

after irradiation of the eggs, larvae and pupae. Irradiation<br />

could be used as a disinfestation treatment in stored<br />

products as an alternative to chemical fumigants. Phostoxin<br />

and methyl bromide are the most common fumigants<br />

for insect disinfestation in storage. Fumigants leave<br />

residues in treated products, and due to the ozonedepleting<br />

properties, methyl bromide was banned in<br />

many countries. Therefore, irradiation is a safe alternative<br />

to fumigation.<br />

Acknowledgments<br />

The authors wish to express their deep appreciation to<br />

Urmia University and Karaj Nuclear Research Center for<br />

Agriculture and Medicine. The authors also thank Dr.<br />

Aramideh for assistances analyzing data.<br />

REFERENCES<br />

Ahmed M (2001). Disinfestation of stored grain, pulses, dried fruits and


4264 Afr. J. Biotechnol.<br />

nuts, and other dried foods. In: Molins R (ed.) Food Irradiation<br />

Principles and Applications, Wiley, New York. pp. 77-112.<br />

Ahmed M (1991). Irradiation disinfestation and packaging of dates.<br />

Insect disinfestation of food and agricultural products by irradiation.<br />

IAEA, Vienna, pp. 7-26.<br />

Ayvaz A, Albayrak S, Karaborklu S (2008). Gamma radiation sensitivity<br />

of eggs, larvae and pupae of Indian meal moth Plodia interpunctella<br />

(Hubner) (Lepidoptera: Pyralidae). Pest Manage. Sci. 64: 505-512.<br />

Ayvaz A, Tuncbilek AS (2006). Effects of gamma radiation on life stages<br />

of the Mediterranean flour moth Ephestia kuhniella Zeller<br />

(Lepidoptera: Pyralidae). J. Pesticide Sci. 79: 215-222.<br />

Azelmat K, Sayah F, Mouhib M, Ghailani N, Elgarrouj D (2005). Effects<br />

of gamma irradiation on forth-instar Plodia interpunctella (Hubner)<br />

(Lepidoptera: Pyralidae). Journal of Stored Product Research, 41:<br />

423-431.<br />

Bloem S, Carpenter JE, Hofmeyr JH (2003). Radiation biology and<br />

inherited sterility in false codling moth (Lep- idoptera: Tortricidae). J.<br />

Econ. Entomol. 96: 1724-1731.<br />

Boshra SA, Mikhaiel AA (2006). Effect of gamma radiation on pupal<br />

stage of Ephestia calidella (Guenee). J. Stored Prod. Res. 42: 457-<br />

467.<br />

Brower J.H, Tilton EW (1983). The potential of irradiation as<br />

commodities. In: Moy JH (ed) Proceedings: Radiation disinfestation<br />

of food an agricultural products conference. Hawaii Institute of<br />

Tropical Agricultural and Human Research, University of Hawaii, pp.<br />

75-86.<br />

Brower JH (1974). Age as a factor in determining radio sensitivity of<br />

eggs of Plodia interpunctella (Hubner). Environ. Entomol. 3: 945-946.<br />

Cogburn RR, Tilton EW, Brower JH (1973). Almond moth: gamma<br />

radiation effect of the life stages. J. Econ. Entomol. 66: 745-751<br />

Follett PA, Griffin R (2006). Irradiation as a phytosanitary treatment for<br />

fresh horticultural commodities: research and regulations. In:<br />

Sommers CH, Fan X (eds). Food Irradiation and Research and<br />

Technology, Blackwell Publishing, Ames, Iowa. pp. 143-168.<br />

Gassner G, Klemetson DJ (1974) A transmission electron microscope<br />

examination of hemipteran and lepidopteran gonial centromeres.<br />

Can. J. Genet. Cytol. 16: 457-464<br />

Gochangco MU, Sanjuan EM, Lster AO (2002). Irradiation as an<br />

alternative treatment to methyl bromide for disinfestations of<br />

Tribolium castaneum in stored cacao. Proceeding of a final research<br />

coordination meeting organized by the joint FAO/IAEA Division of<br />

Nuclear Techniques in Food and Agriculture. Vienna, Austria, pp.<br />

111-123.<br />

Hallman GJ (2000). Expanding radiation quarantine treatments beyond<br />

fruit flies. Agric. Entomol. 2: 85-95.<br />

Hasan M, Khan AR (1998). Control of stored-product pests by<br />

irradiation. Integrated Pest Manage. Rev. 3: 15-29.<br />

Hosseinzadeh A, Shayesteh N, Zolfagharieh HR, Babaei M, Zareshahi<br />

H, Ahari H, Mostafavi H, Fatollahi H (2010). Gamma radiation<br />

sensitivity of different stages of Saw-toothed grain beetle<br />

Oryzaephilus surinamensis(L.) (Coleoptera: Silvanidae). J. Plant Prot.<br />

Res. 50(3): 250-255.<br />

Johnson JA, Vail PV (1988). Post treatment survival development and<br />

feeding of irradiated Indian meal moth and navel orangeworm larvae<br />

(Lepidoptera: Pyralidae). J. Econ. Entomol. 81: 376-380.<br />

LaChance LE, Graham CK (1984). Insect radiosensitivity: dose curves<br />

and dose-fractionation studies of dominant lethal mutations in the<br />

mature sperm of 4 insect species. Mutat. Res. 127: 49-59<br />

Lapidot M, Saveanu S, Padova R, Ross I (1991). Insect disinfestation<br />

by irradiation. Insect Disinfestation of food and Agricultural Products<br />

by Irradiation. Proceedings IAEA, Vienna, p. 103.<br />

Marcotte M (1993). United Nations Environment programme Methyl<br />

Bromide Technical Options Committee. Food Irrad. Newslett. 17: 27-<br />

32.<br />

Makee H, Saour G (2003). Noninherited sterility in irradiated<br />

Phthorimaea operculella females. J. Appl. Entomol. 127:489-493<br />

Mansour M (2002). Gamma irradiation as a quarantine treatment for<br />

apples infested by codling moth (Lep. Tortricidae). J. Appl. Entomol.<br />

127: 137-141.<br />

Mehta VK, Sethi GR, Garg AK (1990). Effect of gamma radiation on the<br />

development of Tribolium castaneum after larval irradiation. J.<br />

Nuclear Agric. Biol. 19(2): 124-127<br />

Ozyardimci B, Cetinkaya N, Denli E, Ic E, Alabay M (2006). Inhibition of<br />

egg and larval development of the Indian meal moth Plodia<br />

interpunctella (Hubner) and almond moth Ephestia cautella (Walker)<br />

by gamma radiation in decorticated hazelnuts. J. Stored Prod. Res.<br />

42: 183-196.<br />

Simmons P, Nelson HD (1975). Insects on Dried Fruits. USDA Agric.<br />

Handbook 464, ARS, Washington, DC, p. 25.<br />

Zolfagharieh HR (2002). Irradiation to control Plodia interpunctella and<br />

Oryzaphillus surinamensis in in Pistacios and Dates. In: Proceeding<br />

of a final research coordination meeting organized by the joint<br />

FAO/IAEA Division of Nuclear Techniques in Food and Agriculture.<br />

Vienna, Austria, pp. 101-109.


African Journal of Biotechnology Vol. 10(20), pp. 4265-4268, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1903<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Body composition of freshwater Wallago attu in relation<br />

to body size, condition factor and sex from southern<br />

Punjab, Pakistan<br />

Muhammad Yousaf*, Abdus Salam and Muhammad Naeem<br />

Institute of Pure and Applied Biology, Bahauddin Zakariya University, Multan 60800, Pakistan.<br />

Accepted 3 February, 2011<br />

Wallago attu is one of the large freshwater catfish found in Pakistan. The rapid growth and high<br />

nutritional quality encouraged investigation into the aquaculture potential of this excellent food fish. It<br />

was observed that body size had a positive influence on percent ash, percent fat and percent protein<br />

contents (wet weight) but there was no significant effect on percent water content. The condition factor<br />

had a positive correlation with fat, ash and protein contents (%wet weight) but no influence on percent<br />

water content. There was no significant influence of sex on body composition of W. attu. If it is<br />

impossible to find out the water content, then the body constituents can be estimated from the wet<br />

body weight, total length and condition factor of this species. As the variations in body composition are<br />

related to these variables, so the equations of each constituent were estimated. The predictive<br />

equations can be used to estimate the body composition with a fair level of accuracy.<br />

Key words: Wallago attu, body size, condition factor, body composition, sex.<br />

INTRODUCTION<br />

Wallago attu is one of the large freshwater catfish found<br />

in Pakistan, India, Sri Lanka, Nepal, Bangladesh, Burma,<br />

Thailand, Vietnam, Kampuchea, Malay Peninsula,<br />

Afghanistan, Sumatra and Java (Talwar and Jhingran,<br />

1991; Giri et al., 2002). The rapid growth (Goswami and<br />

Devraj, 1992) and high nutritional quality of its flesh<br />

(Lilabati and Viswanath, 1996) encourage investigation<br />

into the aquaculture potential of this excellent food fish.<br />

Taking into consideration the various health risks, fish’s<br />

mineral and body composition and their health status<br />

were assessed in order to establish the safety level of the<br />

table sized species prior consumption (Fawole et al.,<br />

2007). Body composition illustrates the nutritional quality<br />

of food because analysis of biochemical composition<br />

including protein, fat and ash is very important in<br />

assessing food value (Kamal et al., 2007). So, biochemical<br />

evaluation is necessary to ensure the nutritional<br />

value as well as eating quality fish (Azam et al., 2004).<br />

However, the value of these body constituents vary<br />

*Corresponding author: E-mail: mahyousaf@hotmail.com.<br />

significantly from one species and one individual fish to<br />

another depending on age, sex, feeding season,<br />

sampling time, activity and environmental condition<br />

(Weatherley and Gill, 1987; Jobling, 1994; Tang et al.,<br />

2009). The aim of the present study is to examine<br />

changes in the proximate composition in relation to body<br />

weight, length, condition factor and sex. Predictive<br />

equations are developed to describe these relationships<br />

in wild W. attu.<br />

MATERIALS AND METHODS<br />

Seventy-eight, wild W. attu of different body sizes, ranging from<br />

16.7-50.2 cm total length and 14.54-648.82 g body weight, were<br />

obtained from different localities of Indus River Southern Punjab<br />

using a cast net and were transported live to the Institute of Pure<br />

and Applied Biology in plastic containers. On arrival at the<br />

laboratory, fresh fish were washed with tap water several times to<br />

remove adhering blood and slime. They were anaesthetized with<br />

Tricaine Methanesulfonate (MS 222), weighed to nearest 0.01 g on<br />

an electronic digital balance (MP-3000 Chyo, Japan) and their<br />

length measured to the nearest 0.1 cm on wooden measuring tray.<br />

These fish were placed in a pre-weighed aluminum foil tray in an<br />

electric oven (Memmert ® 8540) at 70°C until a constant weight


4266 Afr. J. Biotechnol.<br />

Table 1. Wet body weight (g) versus body constituents of Wallago attu.<br />

Body constituents (%) r a b S.E. (b) t value when b = 0<br />

Water contents 0.010 76.112 -0.0001 0.002 -0.05<br />

Ash contents (wet weight) 0.120 3.224 0.001 0.0003 1.667<br />

Fat contents (wet weight) 0.448*** 3.570 0.003 0.001 4.143<br />

Protein contents (wet weight) 0.265** 15.035 0.003 0.001 2.462<br />

Statistical parameters of various relationships, correlation coefficient (r), intercept (a), regression coefficient (b),<br />

standard error of b (S.E.) and n = 78 in each case.<br />

Significance level: **P


Table 3.Condition factor (K) versus body constituents of Wallago attu.<br />

Body constituent (%) r a b S.E. (b) t value when b = 0<br />

Water contents 0.009 74.601 1.189 15.424 0.077<br />

Ash contents (wet weight) 0.108 3.027 0.679 0.720 0.943<br />

Fat contents (wet weight) 0.434*** 1.146 6.743 1.605 4.203<br />

Protein contents (wet weight) 0.117 14.166 3.410 3.324 1.026<br />

Yousaf et al. 4267<br />

Statistical parameters of various relationships, correlation coefficient (r), intercept (a), regression coefficient (b), standard<br />

error of b (S.E.) and n = 78 in each case.<br />

Significance level: ***P


4268 Afr. J. Biotechnol.<br />

375.<br />

Kamal D, Khan AN, Rahman MA, Ahamed F (2007). Biochemical<br />

composition of some small indigenous fresh water fishes from the<br />

river Mouri, Khulna, Bangladesh. Pak. J. Biol. Sci. 10(9): 1559-1561.<br />

LeCren ED (1951). The length-weight relationship and seasonal cycle in<br />

gonad weight and condition in the perch (Perca fluviatilis). J. Anim.<br />

Ecol. 20: 201-219.<br />

Lilabati H, Viswanath W (1996). Nutritional quality of freshwater catfish<br />

(Wallago attu) available in India. Food Chem. 57: 197-199.<br />

Love RM (1980). The chemical biology of fishes. Vol II. <strong>Academic</strong><br />

press, London.<br />

McComish TS, Anderson RO, Goff FG (1974). Estimation of Bluegill<br />

Lepomis macrochirus proximate composition with regression models.<br />

J. Fish. Res. Bd. Can. 31: 1250-1254.<br />

Memid D, Celikkale MS, Ercan E (2006). Effects of different diets on<br />

growth performance and body composition of Russian sturgeon<br />

(Acipenser gueldenstaedtii, Brandt & Ratzenburg, 1833). J. Appl.<br />

Ichthyol. 22(1): 287-290.<br />

Salam A, Davies PMC (1994). Body composition of northern pike (Esox<br />

lucius L) in relation to body size and condition factor. Fish. Res. 19:<br />

193-204.<br />

Salam A, Ali M, Anas M (2001). Body composition of Oreochromis<br />

nilotica in relation to body size and condition factor. Pak. J. Res. Sci.<br />

12(1): 19-23.<br />

Talwar PK, Jhingran AG (1991). Inland fishes of India and adjacent<br />

countries. Volume 2. A.A. Balkema, Rotterdam.<br />

Tang H, Chen L, Xiao C, Wu T (2009). Fatty acid profiles of muscle<br />

from large yellow croaker (Pseudosciaena crocea R.) of different age.<br />

J. Zhejiang Univ. Sci. B. 10(2): 154-158.<br />

Weatherley AH, Gill HS (1987). The biology of fish growth. <strong>Academic</strong><br />

Press. London. pp. 1-443.<br />

Wootton RJ (1990). Ecology of Teleost Fishes. Chapman and Hall,<br />

London<br />

Wootton RJ (1998). Ecology of Teleosts fishes 2 nd Dordrecht: Kluwer.<br />

Zar JH (1996). Biostatistical Analysis. Prentice-Hall. New Jersey.


African Journal of Biotechnology Vol. 10(20), pp. 4269-4275, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB09.786<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Rhizopus stolonifer exhibits dimorphism<br />

C. O. Omoifo<br />

Department of Crop Science, Ambrose Alli University, Ekpoma, Edo State, Nigeria. E-mail: coomoifo@yahoo.com.<br />

Accepted 4 March, 2011<br />

This study showed that multiple morphologies could be induced from sporangiospores of Rhizopus<br />

stolonifer in minimal medium. These included moniliform hyphae, septate hyphae and terminal budding<br />

yeast cells. When considered along the normal coenocytic filamentous growth form, the study showed<br />

that R. stolonifer could be polymorphic.<br />

Key words: Rhizopus stolonifer, polymorphic, multiple morphologies.<br />

INTRODUCTION<br />

Rhizopus stolonifer, a Zygomycete has a filamentous<br />

growth habit. Its filaments are coenocytic, that is, they are<br />

non-septate. It is the only fungus yet known to produce<br />

rhizoids which penetrate the substratum in order to obtain<br />

nutrients. The rhizoids also serve as support. Opposite<br />

the rhizoids, a sporangiophore juts into the atmosphere<br />

and this terminates in a club-shaped collumelum<br />

enclosed within the sporangial wall. Between the collumelum<br />

and wall are numerous asexual reproductive<br />

structures known as sporangiospores. This organism is<br />

also characterized by the presence of stolons, which<br />

connect rhizoid joints.<br />

Other members of the Zygomycetes, especially species<br />

of the genus Mucor, have been shown to undergo fungal<br />

dimorphism (Bartnicki-Garcia and Nickerson, 1962a, b, c,<br />

d; Friedenthal et al., 1974; Schulz et al., 1974; Ruiz-<br />

Hereira, 1985; McIntyre et al., 2002; Lubberhusen et al.,<br />

2003). In such phase transitions, sporangiospores convert<br />

to yeast like cells, with a central globose mother cell<br />

which multilaterally produces daughter buds by blastic<br />

action. This occurs under CO2 tension or high hexose<br />

concentration.<br />

However, terminal budding yeast cells have been<br />

induced from sporangiospores of Mucor circinelloides<br />

Tieghem in minimal medium (Omoifo, 2005). When the<br />

external medium was subjected to K + variation, the 1.0 g/l<br />

K + supplementation was found to be critical for protoplast<br />

formation, a transient morphology, but Na + was required<br />

for yeast induction. Thus, a treatment of 1.0 g/l K + , 0.10<br />

g/l Na + gave optimum yeast induction; even though thallic<br />

growth forms, including holoblastic-, holothallic- and<br />

enterothallic conidia were also induced, uracil supplementation<br />

drastically diminished the presence of these<br />

thallic forms (Omoifo, 2006a). This suggested that these<br />

ions impacted on the structural modification led to the<br />

induction of yeast cells from sporangiospores. A follow-up<br />

study showed that the incorporation of myoinositol and<br />

zinc into the minimal medium of growth of the<br />

microorganism enhanced yeast induction by more than<br />

63%. These studies further demonstrated that environmental<br />

factors influence mould-yeast interconversion.<br />

In the study of Bartnicki-Garcia and Nickerson (1962b),<br />

several members of the Mucurales were tested for their<br />

ability to undergo mould-yeast interconversion, but R.<br />

stolonifer was found to be incapable of it. Their study was<br />

conducted in solid cultures of complex nature (yeast<br />

extract-peptone-glucose, YPG) and incubated under 30%<br />

CO2 pressure. This claim in minimal medial composition<br />

that is known to induce terminal budding yeast cells from<br />

M. circinelloides Tieghem was validated or otherwise<br />

disproved (Omoifo, 2005, 2006a, b).<br />

It was also found that Mucor species could only convert<br />

to multipolar budding yeastlike cells under CO2 atmosphere<br />

when there is fermentable carbon substrate like<br />

galactose, fructose, mannose, glucose and disaccharide<br />

like sucrose; when it was grown with xylose as substrate,<br />

intact sporangiospores remained in the broth after 72 h<br />

(Bartnicki-Garcia and Nickerson, 1962b).<br />

On the other hand, McIntyre et al. (2002) cultivated M.<br />

circinelloides in xylose substrate-Vogel’s minimal medium<br />

which was incubated in CO2 atmosphere and the<br />

morphological expression was multipolar budding yeast<br />

like cells. Lubberhussen et al. (2003) used similar<br />

medium (Vogel’s) with xylose or glucose as substrate for<br />

the cultivation of M. circinelloides and obtained filamenttous<br />

growth in cultures sparge under the atmosphere.<br />

Since preliminary study showed that R. stolonifer could<br />

utilize glucose for growth, this study examined the effect


4270 Afr. J. Biotechnol.<br />

of the pentose sugar, xylose, on its habit.<br />

Reported here is the induction of several morphological<br />

forms of R. stolonifer in minimal medium.<br />

MATERIALS AND METHODS<br />

Fungal strain<br />

The strain of R. stolonifer used in this study was a gift from Miss<br />

Elsa Thomas, the Project Assistant to Dr. G. S. Prasad of Microbial<br />

Type Culture Collection 1, Institute of Microbial Technology, Sector<br />

39A, Chandigarh, India. It was purified through three different<br />

inoculations and subculturing and maintained as malt extract (MEA,<br />

31.2 g/L) solid cultures which exhibited filamentous growth habit. A<br />

fresh culture was prepared after seven days.<br />

Inoculum preparation for growth<br />

Inoculum was obtained by pouring sterile deionized distilled water<br />

over aerobic growth and a sterile glass rod was gently passed over<br />

the surface so as to dislodge the spores. The suspension was not<br />

subjected to extreme preparation as was done in the method of<br />

Omoifo (1996, 2003, 2006a).<br />

This was to ensure that some mycelia fragments were retained in<br />

the inoculum. This showed to be so on examination under the<br />

microscope (x400 magnification). But generally, spore count which<br />

was taken with Neubauer Haemocytometer. (BSS No. 784<br />

Hawksley, London Vol. 1/4000) was adjusted to 10 x 10 5 spores per<br />

ml in sterile deionized distilled water, with the aid of tally counter.<br />

Reagent and culture media<br />

This has been described (Omoifo, 1996, 2006a) and subsequently<br />

modified. Briefly, media were prepared per litre: Xylose (Hymedia),<br />

10 g; (NH4)2SO4 (Merck), 5 g; K2HPO4 (Qualigens), 5 g; KH2PO4<br />

(Merck), 5 g; MgSO4 (Qualigens), 2 g; FeS04 (Hymedia), 0.1 g;<br />

NaCl (Qualigens), 0.1 g; CuSO4 (Analytical Rasayan), 0.06 g;<br />

MnSO4 (Qualigens), 0.065 g; ZnSO4 (BDH), 0.06 g; CaCl2 (Sigma)<br />

uracil (Hymedia), 100 mg; myoinositol (Sigma), 0.25 g.<br />

The media where prepared in 2000 ml beaker. Weights of buffer<br />

components 0.2 M Na2HPO4: 0.1 M citrate were obtained using<br />

H54Ar meter balance and added to the beaker. The pH was<br />

adjusted to 4.5 with 2 N NaOH or 1 N HCl using a control dynamics<br />

pH meter model APX 175 E/C in the 2000 ml beaker before<br />

dispensing 80 ml of broth in each duplicate of 250 ml Erlenmeyer<br />

flasks for the test. The solution in each flask was made up to 100 ml<br />

with glass distilled deionized water and sterilized at 121°C per 15<br />

min.<br />

Inoculation, growth conditions and sample collection<br />

A 1 ml spore suspension was drawn and inoculated into each broth<br />

flask using Eppendorf micropipette. Each culture flask was then<br />

shaken for 30 s and thereafter incubated at 28 ± 1°C (laboratory<br />

temperature). Culture flasks were examined after 72 and 168 h of<br />

growth.<br />

The culture flasks were returned for further incubation. Slides<br />

were prepared for viewing by putting one or two drops of<br />

lactophenol on a glass slide with the aid of wire loop, one drop from<br />

the culture flask properly shaken was then added and covered with<br />

a glass cover slip and viewed under a binocular microscope at x<br />

1000 magnification using the microscope Olympus BX51 attached<br />

with camera model No. C-3250. The observed morphologies were<br />

recorded.<br />

RESULTS<br />

Visual examination showed the emergence of mycelia on<br />

the surface of growth medium. This appeared white to<br />

grey on broth surface but aerial mycelia were grey.<br />

The culture was cloudy and sediments were formed by<br />

day 3. After one week, aerial mycelia became profuse<br />

and thick sediment was formed at the bottom of the<br />

culture. Microscopic examination revealed that, aerial<br />

mycelia originated from broth level mycelia made up of<br />

rhizoids and stolons. Figure 1a showed a section of a<br />

long sporangiophore, which is vertically opposite the<br />

rhizoids that penetrate into the broth as well as a side<br />

(horizontal) branch, which is a section of the stolon<br />

interconnecting two rhizoid joints. Shown in Figure 1b is<br />

globose sporangium enclosing numerous sporangiospores;<br />

within it also is the collumelum which is the terminal<br />

end of the characteristically long sporangiophore.<br />

Figure 1c showed collapsed sporangia that had released<br />

their content of spores. Sporangiospores are grey to dark<br />

brown in colour, have striated walls and vary in shape<br />

(Figure 1d).<br />

Three different types of hyphae were formed within the<br />

broth. These were tan to light brown coenocytic hyphae<br />

(Figure 2c), dark brown septate hyphae (Figure 2s) and<br />

moniliform hyphae which has narrow diameter and simple<br />

septa-like partitions which have no cell wall material<br />

deposition (Figure 2m).<br />

On the other hand, yeast cells which were profusely<br />

produced, were terminal budding and assumed varying<br />

shapes. They could be globose, subglobose, variations of<br />

cylindrical and allantoidal cells (Figure 2a and y). Yeast<br />

formation also occurred by moniliform budding whereby<br />

the growing tip enlarges; a constriction occurs behind the<br />

expanded apex which assumes the yeast shape. It could<br />

be globose, subglobose or ellipsoidal. This eventually<br />

detaches from the hyphae into the medium where it<br />

continues to proliferate by terminal budding (Figure 3a<br />

and b).<br />

DISCUSSION<br />

Several growth forms were observed in submerged<br />

cultures in this study. These included coenocytic hyphae,<br />

septate hyphae, moniliform hyphae and terminal budding<br />

yeast cells, which was preponderant. Therefore, R.<br />

stolonifer is polymorphic in minimal medium.<br />

The study of Bartnicki-Garcia and Nickerson (1962b)<br />

showed that R. stolonifer could not convert to yeast-like<br />

morphology under carbon dioxide pressure, unlike the<br />

Mucor rouxii used in their study. In the aforementioned<br />

study, it was shown that M. rouxii proliferate by multipolar<br />

budding, whereby a yeast mother cell gave rise to<br />

numerous multipolar daughter buds by blastic action.


Figure 1. Substrate-level and aerial mycelia of Rhizopus stolonifer showing (a) part of<br />

stolon; (b) part of sporangiophore; (c) rhizoids; (d) sporangium; (e) collapsed sporangia<br />

and (f) striated sporangiospores.<br />

This is in contrast with the results obtained in the<br />

present study whereby R. stolonifer exhibited different<br />

growth forms in minimal medium. A weight proportion for<br />

each morphological type in submerged culture was not<br />

determined. Subjective assessment however showed that<br />

the terminal budding yeast morphology was the dominant<br />

form.<br />

Although, nuclei were not visualized in this study, it<br />

should be pointed out that dimorphic M. rouxii produces<br />

yeast like cells which are multipolar budding and the<br />

mother cell and daughter buds, each contain numerous<br />

nuclei, as revealed by Giemsa staining (Bartnicki-Garcia<br />

and Nickerson, 1962b) or 6-diamidino 2-phenylidole<br />

(DAPI) staining (McIntyre et al., 2002; Lubberhussen et<br />

Omoifo 4271<br />

al., 2003), whereas terminal budding yeast cell like that of<br />

Saccharomyces cerevisiae, harbours one nucleus per<br />

cell. Thus, after conversion to the yeast cell from sporangiospore<br />

or after intermediary stage as in moniliform<br />

hypha, proliferation of R. stolonifer was in the manner<br />

similar to the budding pattern of yeast cells of S.<br />

cerevisiae.<br />

It does not appear that formation of septa by<br />

Zygomycetous species in minimal medium has been<br />

previously reported. In the study of McIntyre et al. (2002),<br />

the use of calcofluor white revealed the presence of<br />

septa in filaments formed by M. circinelloides. But in that<br />

case, it was due to the formation of arthrospores that<br />

occurred after the growth and ceased (Lubberhussen et


4272 Afr. J. Biotechnol.<br />

Figure 2. Submerged mycelia of R. stolonifer showing (c) coenocytic hyphae; (m) moniliform<br />

hyphae; (s) septate hypha; (c) terminal budding yeast cells and (a) subglobose, ellipsoidal and<br />

allantoid yeast cells, which may be 1 to 3 celled.<br />

al., 2003). In the present study, arthrospores were not<br />

observed. Septation is a characteristic of the higher fungi<br />

where it compartmentalizes cellular components. Since<br />

septate hyphae were observed in submerged culture in<br />

this study, it thus means that R. stolonifer could exhibit<br />

characteristics of the higher fungi. As this study showed,<br />

it also applies to the formation of terminal budding yeast<br />

cells.<br />

Formation of terminal budding yeast cell took two<br />

different lines. These include induction from (a)<br />

sporangiospore and (b) moniliform hypha. The process of<br />

induction of terminal budding yeast cells from<br />

sporangiospores has been previously observed (Omoifo,<br />

2003, 2005).<br />

Swollen and then lysed sporangiospore, released<br />

nucleates into medium of growth. These gave rise to<br />

protoplasts which subsequently became yeast cells,<br />

thereafter, proliferation by terminal bud formation<br />

occurred. Omoifo (2006a, b) demonstrated the effect of<br />

myoinositol and zinc on the induction and subsequent<br />

proliferation of terminal budding yeast cells from sporangiospores<br />

of M. circinelloides Tieghem in a system thought<br />

to be of high ionic strength that possibly led to the<br />

establishment of a pH-transmembrane gradient; such<br />

would stimulate second messengers generation and<br />

signals transduction within the living cell (Dawes, 1986;<br />

Mitchell, 1978).<br />

It was hypothesized that, activity at the molecular level<br />

activated mitogenic factors that led to yeast form<br />

induction (Omoifo, 2005). Thereafter, it could assume<br />

that terminal yeast budding observed here is in the<br />

manner of proliferation of S. cerevisiae, that is, daughter<br />

bud production by blastic action whereby the inner wall of<br />

the mother cell extends into the new bud, and this entails<br />

the extension of the existing cell wall (Marchant and<br />

Smith, 1968; Sentandreu and Northcote, 1969).<br />

As shown in this study, formation of an intermediary<br />

structure, similar to that elaborated for the initial stages of<br />

formation of sporogenous hyphae was involved in<br />

moniliform yeast induction (Omoifo, 2005). It was shown<br />

that sporogenous hyphae emerges from sporangiospore<br />

as coenocytic thin walled vegetative filament which<br />

possesses thin lumen that becomes compartmentalized;<br />

with the centripetal growth of the plasma membrane thus<br />

forming septa-like partition (without the involvement of<br />

cell wall). A morphologically distinct conidium is produced<br />

at the distal end of this filament, and this holoblastically<br />

produced catenate conidia (Omoifo, 2005). In the present<br />

study, the growing tip of moniliform filament formed yeast<br />

mother cell instead, and this on detachment becomes<br />

terminal budding. This method of primary bud formation<br />

by R. stolonifer contrasts with that described for


Figure 3. Yeast cells (y) and moniliform hyphae (m) of R. stolonifer budding off yeast cells; (a) young<br />

bud; (b) mature bud near detachment. The moniliform hypha may have simple septa-like partition, (i).<br />

Phialophora dermatitidis whereby there is bud eruption<br />

from hyphal wall; bud wall is continuous with inner hyphal<br />

wall, whereas the outer wall forms a collar (Grove et al.,<br />

1973). In contrast too, is the study of Hardcastle and<br />

Szaniszlo (1974) that showed that moniliform hyphae<br />

emerged from induced yeast cells of Cladosporium<br />

Omoifo 4273<br />

werneckii but these produced lateral conidia, which on<br />

release did not exhibit any form of budding.<br />

In the present study, terminal budding yeast cells were<br />

induced from sporangiospores in two different ways, viz<br />

(a) sporangiospore to nucleates to protoplasts to yeast<br />

cells; (b) sporangiospore to moniliform hypha to yeast


4274 Afr. J. Biotechnol.<br />

cell. This study confirmed earlier reports which showed<br />

that terminal budding yeast cells can be induced from<br />

sporangiospores (Omoifo, 1996, 1997, 2003, 2006a, b;<br />

Omoifo et al., 2006). For biochemical and molecular<br />

studies to be conducted successfully, pure cultures of the<br />

morphotypes or anamorphs of any particular fungus is<br />

required. The achievement of this objective has been<br />

demonstrated in several studies (Omoifo, 2003, 2005,<br />

2006a, b). This is further confirmed in the foregoing<br />

report.<br />

ACKNOWLEDGEMENTS<br />

This work was done at the MTCC-1, Institute of Microbial<br />

Technology, Chandigarh, India during the Postdoctoral<br />

fellowship programme supported by the Third World<br />

Academy of Sciences, Triestie, Italy and the Council for<br />

Scientific and Industrial Research, India. To both<br />

institutions, I express my sincere gratitude.<br />

REFERENCES<br />

Bartnicki-Garcia S, Nickerson WJ (1962a). Induction of yeast-like<br />

development in Mucor by carbon dioxide. J. Bacteriol. 84: 829- 840.<br />

Bartnicki-Garcia S, Nickerson WJ (1962b). Nutrition, growth and<br />

morphogenesis of Mucor rouxii. J. Bacteriol. 84: 841-858.<br />

Bartnicki-Garcia S, Nickerson WJ (1962c). Isolation, composition and<br />

structure of cell walls of filamentous and yeast-like forms of Mucor<br />

rouxii. Biochim. Biophys. Acta. 58: 102-119.<br />

Bartnicki-Garcia S, Nickerson WJ (1962d). Assimilation of carbon<br />

dioxide and morphogenesis of Mucor rouxii. 64: 584-551.<br />

Dawes EA (1986). Microbial Energetics: Tertiary Level Biology<br />

Chapman and Hall, New York, p. 189.<br />

Friedenthal JW Epstein A, Passon S (1974). Effect of potassium<br />

cyanide, glucose and anaerobiosis on morphogenesis of Mucor<br />

rouxii. J. Gen. Microbiol. 82: 15-24.<br />

Grove SN, Oujezdsky KB, Szaniszlo PJ (1973). Budding in the<br />

Dimorphic Fungus Phialophora dermatitidis. J. Bacteriol. 115(1): 323-<br />

329.<br />

Hardcastle RV, Szaniszlo PJ (1974). Characterization of dimorphism in<br />

Cladosporium werneckii. J. Bacteriol. 119: 294-302.<br />

Lubberhusen TL, Nielsen T, McIntyre M (2003). Characterization of the<br />

Mucor circinelloides life cycle by on-line image analysis. J. Appl.<br />

Microbiol. 95: 1152-1160.<br />

Marchant R, Smith DG (1968). Bud formation in Saccharomyces<br />

cerevisiae and a comparison with the mechanism of cell division in<br />

other yeasts. J. Gen. Microbiol. 53: 163-169.<br />

McIntyre M, Breum J, Arnau J, Nielsen J (2002). Growth physiology and<br />

dimorphism of Mucor circinelloides (synracemosus) during<br />

submerged batch cultivation. Appl. Microbiol. Biotechnol. 58: 495-<br />

502.<br />

Mitchell P (1978). Translocation through natural membranes. Adv.<br />

Enzymol. 29: 33-87.<br />

Omoifo CO (1996). Modeling sporangiospore-yeast transformation of<br />

Dimorphonyces strain. Hind. Antibiot. Bull. 38: 12-31.<br />

Omoifo CO (1997). Auxotrophic requirement for sproangiospore -yeast<br />

transformation of Dimorphomyces diastaticus Strain C12. Hind.<br />

Antibiot. Bull. 39: 11-15.<br />

Omoifo CO (2003). Sequential sporangiosopore-yeast transformation<br />

hypothesis. Afr. Scientist. 4: 191-273.<br />

Omoifo CO (2005). Development of Yeast Cells from Sporangiospores.<br />

Idehuan Publishing Company, Nigeria, p. 402.<br />

Omoifo CO (2006a). Effect of K+, Na+ and uracil on sporangiosporeyeast<br />

transformation of Mucor circinelloides Tieghe. Afr. J.<br />

Biotechnol. 5(9): 715-722.<br />

Omoifo CO (2006b). Effect of myoinositol and zinc on sporangiosporeyeast<br />

transformation of Mucor circinelloides Tieghe Afr. J. Biotechnol.<br />

5(9): 723-730.<br />

Omoifo CO, Aruna MB, Omamor IB (2006). Effect of myoinositol on<br />

sporangiospore-yeast transformation of Mucor circinelloides Tieghem<br />

cultivated in synthetic broth. Hind. Antibiot. Bull. 47-48: 24-30.<br />

Ruiz-Hereira J (1985). Dimorphism in Mucor species with emphasis on<br />

M. Rouxii and M. Baciliformis. In: Szaniszlo PJ (ed). Fungal<br />

Dimorphism With Emphasis on Fungi Pathogenic for Humans, New<br />

York. pp. 361-385.<br />

Schulz BE, Kraepelin G, Hinkelmann W (1974). Factors affecting<br />

dimorphism in Mycophyta (Mucorales): a correlation with the<br />

fermentation/respiration equilibrium. J. Gen. Microbiol. 83: 1-13.<br />

Sentandreu R, Northcote DH (1969). The formation of buds in yeast. J.<br />

Gen. Microbiol. 55: 393-398.


African Journal of Biotechnology Vol. 10(20), pp. 4276-4288, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB09.787<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Effect of extracellular calcium chloride on<br />

sporangiospore-yeast transformation of Rhizopus<br />

stolonifer<br />

C. O. Omoifo<br />

Department of Crop Science, Ambrose Alli University, Ekpoma, Nigeria. E-mail: coomoifo@yahoo.com.<br />

Accepted 4 March, 2011<br />

Previous studies showed that zinc and myoinositol, which are intracellular, serve as components of<br />

signalling elements in many eukaryotes, and participate in stimulating the induction and proliferation of<br />

yeast cells from sporangiospores of fungi. It was thought that a transmembrane-pH-gradient, similar to<br />

what is obtained in bacterial mitochondrion or proton-substrate symport in yeasts, permitted<br />

influx/efflux of materials into the cell that triggered the induction and subsequent proliferation of yeast<br />

cells. To examine this model further, this study evaluated the ability of sporangiospores of Rhizopus<br />

stolonifer to undergo morphogenetic transformation in the presence of different levels of extracellular<br />

calcium (0.0, 0.20, 0.25, 0.50, 1.0, 1.5 and 1.8 mM). It was found that calcium supported yeast induction<br />

and proliferation to varying extent. Ca 2+ at 0.50 and1.8 mM, which was outstanding, was compared with<br />

broth treatment at 0.25 mM ZnSO4: pH 4.5 which gave optimum biomass in a previous study. Medium<br />

pH was further varied: pH 4.2, 4.5 and 5.0. The results showed that there was interaction between the<br />

level of divalent cations and pH. At all levels tested, Ca 2+ was better stimulatory than Zn 2+ . Direct<br />

induced yeast cell count, which eliminated possible impact of protoplasts and calcium phosphate<br />

precipitate on optical density measurements, made these results more valid. Treatment at 0.50 mM Ca 2+ :<br />

pH 5.0 gave the most profound result. This was therefore chosen for further biochemical work.<br />

Key words: Rhizopus stolonifer, synthetic broth, dimorphism, extracellular Ca 2+ , sporangiospores, induced<br />

yeast cells.<br />

INTRODUCTION<br />

Dimorphism is the conversion of a microorganism from<br />

one growth habit to another, an effect caused by changes<br />

in environmental conditions (Romano, 1966). In a report<br />

presented over a decade ago, it was shown that<br />

sporangiospores of a mucoraceous strain is transformed<br />

to terminal budding yeast cells (Omoifo, 1996). This was<br />

opposite the multipolar budding yeast-like morphology<br />

that has been reported for many mucoraceous species<br />

including Mucor rouxii (Bartnicki-Garcia, 1968; Bartnicki-<br />

Garcia and Nickerson, 1962a, b, c, d; Lubberhusen et al.,<br />

2003; McIntyre et al., 2002), Mycotypha (Hall and<br />

Kolankaya, 1974; Schulz et al., 1974; Price et al., 1973).<br />

The preceding report showed that several distinct<br />

morphologies can be induced from the fungus, Rhizopus<br />

stolonifer. These include yeast cells, coenocytic hyphae,<br />

moniliform hyphae and septate hyphae. This is in<br />

contrast to the multipolar budding yeast-like cells that<br />

have been reported for other members of the<br />

Zygomycetes. It is also in sharp contrast to the study of<br />

Bartnicki-Garcia and Nickerson (1962b) whereby it was<br />

shown that R. stolonifer was incapable of morphogenetic<br />

interconversion.<br />

Conversion of sporangiospores to terminal budding<br />

yeast cells require structural modifications that involved<br />

transient morphologies, including growth spheres and<br />

cytosolic nucleates that are released when cell wall is<br />

lysed, and protoplasts till the yeast is formed. This<br />

becomes the stable form, which is proliferated by terminal<br />

budding. These various forms have been shown in<br />

several publications (Omoifo, 1996, 1997, 2003; Omoifo<br />

and Omamor, 2005; Omoifo et al., 2006) including the<br />

research monograph “development of yeast cells from<br />

sporangiospores” (Omoifo, 2005).<br />

In an attempt to explain the cryptic biophysical changes<br />

that occurred leading to the formation of yeast, a system<br />

model known as the sequential sporangiospore-yeast


transformation (SSYT) hypothesis was formulated<br />

(Omoifo, 2003). This was based on electrochemical<br />

gradient which permits transport processes and energy<br />

metabolism in mitochondria or proton-substrate symport<br />

through plasma membranes (Alderman and Hofer, 1981;<br />

Albert et al., 1994; Dawes, 1986; Mitchell, 1967; Slayman<br />

and Slayman, 1974; Voet and Voet, 1995; West and<br />

Mitchell, 1972; 1973). It holds that the multiple conversions<br />

are possible because the individual entities are<br />

bathed in a milieu whereby a transmembrane-pHgradient<br />

is set up and this encourages influx/efflux of<br />

materials with consequent fundamental biochemical and<br />

biophysical changes in cytosolic components and cell<br />

wall integrity. It was shown that monovalent elements like<br />

H + , K + and Na + , play important roles in the induction of<br />

terminal budding yeast cells from sporangiospores of<br />

muco-raceous strains. H + was involved in the<br />

maintenance of the transmembrane-pH-gradient; K + was<br />

absolutely necessary for the formation of protoplasts from<br />

spora-ngiospores of Mucor circinelloides Tieghem<br />

(Omoifo, 2005). On the other hand, accumulation of Na + ,<br />

which is antiported with K + (Tonomura, 1986) was<br />

necessary for the protoplasts to convert to the yeast form<br />

(Omoifo, 2005). The effect of K + was confirmed in another<br />

study where protoplast formation peaked at a high level<br />

of K + 1.0 g/l, and yeast induction was optimal at 0.10 g/l<br />

Na + . In a combinational manner under various<br />

treatments, the interaction between 1.0 g/l K+ and 0.1 g/l<br />

Na + had the greatest impact on yeast induction,<br />

notwithstanding the occurrence of other anamorphic<br />

subtypes including enterothallic and holothallic conidia,<br />

which were scanty. However, these anamorphs were<br />

eliminated when 100 mM uracil was incorporated into the<br />

medium of growth (Omoifo, 2006a).<br />

Subsequent study showed the effect of intracellular<br />

signalling precursors on yeast induction from sporrangiospores.<br />

Although, myoinositol and zinc were not the<br />

primary initiators, they individually enhanced yeast<br />

induction from sporangiospores (Omoifo and Aruna,<br />

2006; Omoifo et al., 2006). When the cyclic hexitol and<br />

divalent ion were used in combination, induced yeast<br />

sigmoid growth pattern ensued and biomass was upped<br />

by 63 to 65% in comparison with control cultures<br />

(Omoifo, 2006b). Calcium is a primary element in signal<br />

transduction in eukaryotic cells where it’s binding to<br />

proteins triggers changes in conformation as well as<br />

altering local electrostatic fields, thereby controlling<br />

cellular processes (Kretsinger, 1979; Albert et al., 1994;<br />

Berridge, 1987; Berridge et al., 2000; Voet and Voet,<br />

1995; Clapham, 2007). Since zinc which plays key role in<br />

catalytic and structural component of many proteins<br />

(Eide, 2006) has been shown to enhance yeast induction<br />

from sporangiospores, perhaps calcium, which functions<br />

as an intracellular messenger (Albert et al., 1994) and<br />

further involved in cytosolic Ca 2+ homeostasis (Forster<br />

and Kane, 2000; Ton and Rao, 2004), would also<br />

promote yeast induction from sporangiospores.<br />

Omoifo 4277<br />

The objective of this study was to evaluate the effect of<br />

CaCl2 on the ability of R. stolonifer to convert to terminal<br />

budding yeast cells. Since exogenous culture pH<br />

influence Ca 2+ uptake through Ca 2+ channels in plasma<br />

membrane (Youatt, 1990), the effect of pH on the<br />

stimulatory ability was also evaluated.<br />

MATERIALS AND METHODS<br />

Chemicals<br />

Reagent grade chemicals were obtained from BDH Laboratory<br />

supplies (Poole, UK) except Bacto peptone (Sigma), myoinositol<br />

(Sigma) and yeast extract (Oxoid).<br />

Fungal strain<br />

R. stolonifer used in this study was isolated at the Microbial Type<br />

Culture Collection Laboratory 1, Institute of Microbial Technology,<br />

Chandigarh India as reported in the preceding report. It was<br />

maintained on glucose-yeast extract-peptone agar (GYPA: 10-0.3-<br />

5.0-15g/l) slants. Fresh culture was prepared on Petri dish unto<br />

which 20 ml of agar was poured and used after 7days of growth.<br />

Inoculum preparation for growth studies<br />

A 7 day old culture of R. stolonifer was flushed with sterile deionized<br />

distilled water and a sterile glass rod was gently passed over<br />

the fungal growth so as to dislodge the spores. The suspension,<br />

poured into centrifuge bottles, was washed with 3 changes of sterile<br />

deionized distilled water in an MSE 18 centrifuge at 5000 rpm for 7<br />

min at 25°C. Spore count was taken with a Neubauer hemocytometer<br />

and was made up to 10 6 /ml in sterile deionized distilled<br />

water.<br />

Reagents and culture media<br />

Procedure for preparing the base medium has been described<br />

(Omoifo, 1996) and has been used in subsequent studies (Omoifo,<br />

2003, 2006a, b; Omoifo and Aruna, 2005; Omoifo et al., 2006). It<br />

contained per litre: 10 g glucose, 5 g (NH4)2SO4, 5 g K2HPO4, 5 g<br />

KH2PO4, 0.10 g NaCl, 0.10 g FeSO4, 2.0 g MgSO4, 0.060 g CuSO4,<br />

0.060 g ZnSO4, 0.065 g MnCl2, 100 mg uracil and 2 Mm<br />

myoinositol. Where the effect of Zn 2+ was to be tested, zinc<br />

sulphate was not added to the basal preparation. The initial culture<br />

was buffered at Ph 4.5 with 0.2 M Na2HPO4: 0.1 M citrate. When Ph<br />

level was the test factor, culture was then buffered with equivalent<br />

weights of the buffer species. Since levels of calcium were to be<br />

tested, these were prepared separately. Each of the duplicate<br />

flasks of the synthetic broth was incorporated with the various<br />

concentrations of calcium chloride at the following levels: 0.0, 0.20,<br />

0.25, 0.50, 1.0, 1.5 and 1.8 Mm. The Ph was adjusted with 2 N<br />

NaOH or 1 N HCl using a Cole-Parmer Ph Tester model 59000.<br />

The solution in each flask was made up to 100 ml with glass<br />

distilled deionized water and sterilized at 121°C for 15 min.<br />

Inoculation, growth conditions and sample collection<br />

A 1 ml spore suspension was inoculated into each broth flask using<br />

Eppendorf micropipette in an operation done in a laminar flow<br />

chamber model CRC HSB-60-180. Before each inoculation, the


4278 Afr. J. Biotechnol.<br />

Table 1. Treatments and biomass estimates with their respective standard errors, and form of growth<br />

during the cultivation of R. stolonifer in synthetic broth for 120 h at Ph 4.5 and temperature 28°C.<br />

Treatment: Calcium chloride (Mm) Mean biomass at 620 nm Form of growth<br />

Control 0.1399 ± 0.0075 Yeast cell<br />

0.2 0.1361 ± 0.0062 Yeast cell<br />

0.25 0.1462 ± 0.0107 Yeast cell<br />

0.5 0.1666 ± 0.0095 Yeast cell<br />

1.0 0.1381 ± 0.0153 Yeast cell<br />

1.5 0.1360 ± 0.0086 Yeast cell<br />

1.8 0.1854 ± 0.0418, turbidity Yeast cell<br />

spores were kept in suspension by shaking for 30 s and the broths<br />

were similarly shaken after each inoculation before transferring to a<br />

laboratory side bench for incubation at 28 ± 1°C. At 24 h intervals,<br />

the culture flasks were brought to the chamber and 10 ml were<br />

withdrawn from each culture flask with sterile pipettes, one for each<br />

flask, into factory-sterilized plastic sample tubes. The culture flasks<br />

were thereafter returned for further incubation. The samples were<br />

kept at -18°C until further analysis. Slides were prepared for<br />

viewing by putting one or two drops of lactophenol-in-cotton blue on<br />

a glass slide and with the aid of wire loop, one drop from the culture<br />

flask properly shaken was then added and covered with a glass<br />

cover slip and viewed under a binocular microscope at x1000<br />

magnification using the microscope Olympus CHB14. The observed<br />

morphologies were recorded.<br />

Biomass determination<br />

Culture samples were thawed up to room temperature before<br />

biomass determination. The absorbance was obtained at 620 nm,<br />

using a Camspec M105 spectrophotometer (Cambridge, UK).<br />

Statistical analysis<br />

Results were subjected to a 2-way analysis of variance (ANOVA)<br />

test for the single factor, or a split-plot format for combined factors<br />

and considered significant if p < 0.05 and comparison between<br />

means was performed using the Genstat 5 package.<br />

RESULTS AND DISCUSSION<br />

The effect of various levels of Ca 2+ on morphological<br />

expression of R. stolonifer cultivated in still cultures is<br />

shown in Table 1. Yeast cell was the predominant<br />

morphology. In other dimorphic fungi, Ceratocystyis ulmi<br />

(Paranjape et al., 1990) and Ophiostoma ulmi (Gadd and<br />

Brunton, 1992), exogenous Ca 2+ stimulated germ tube<br />

formation in media designated for yeast production, while<br />

it led to a reduction of mycelia production in<br />

Aureobasidium pullulans (Madi et al., 1997). Madi and<br />

colleagues attributed this difference to the use of<br />

‘restrictive medium’ in the former, as compared to their<br />

use of what they termed ‘general medium’ for the growth<br />

of A. pullulans. The preceding report illustrates the fact<br />

that multiple morphologies could be induced from<br />

sporangiospores in buffered synthetic broth, but this<br />

could be streamlined to obtain specific morphology,<br />

depending on the environmental factor incorporated into<br />

the medium of growth. For example, multipolar budding<br />

yeast like cell was obtained in complex nitrogen sourced<br />

medium incubated at elevated temperature (Omoifo,<br />

1996, 2005) and terminal budding yeast cells from simple<br />

nitrogen sourced-medium (Omoifo, 1996), or myoinositolincorporated<br />

medium (Omoifo, 1997, 2003, 2005; Omoifo<br />

et al., 2006).<br />

In the present study, proliferation of terminal budding<br />

yeast cells induced from sporangiospores of R. stolonifer<br />

occurred at all concentration levels tested. Growth profile<br />

did not describe a sigmoid pattern (Figure 1). Mean<br />

biomass showed differences in growth between cultures<br />

where control broth apparently had higher values than<br />

0.2, 1.0 and 1.5 mM Ca 2+ (Table 1). Analysis of variance<br />

of O.D. readings showed that only time had significant<br />

impact on yeast induction and growth (Table 2). However,<br />

on separation of means, LSD 0.04889 p < 0.05, the<br />

aforementioned concentration levels were not distinct<br />

except for 0.5 and 1.8 mM Ca 2+ , which were in separate<br />

subsets (Table 3).<br />

In this study, control culture or cultures with low level<br />

Ca 2+ made had no difference with yeast proliferation,<br />

except when there was high level challenge, 0.5 or 1.8<br />

mM Ca 2+ . But the magnitude of yeast cells formed in the<br />

1.5 mM Ca 2+ supplemented broth compares with that of<br />

control although protoplasts were part of entities in the<br />

latter culture. This study decided to subject the Ca 2+<br />

levels with the higher O.D. values to different pH<br />

treatments.<br />

The effect of extracellular pH levels on sporangiosporeyeast<br />

transformation had earlier been shown (Omoifo,<br />

1996). In synthetic broth, pH 4.5 was found to be most<br />

ideal for conversion of sporangiospores to yeast cells<br />

(Omoifo, 1996). A subsequent report showed that<br />

buffered synthetic broth pH 4.5, supplemented with 0.25<br />

mM ZnSO4 further enhanced conversion of sporangiospore<br />

of M. circinelloides to yeast (Omoifo, 2006a).<br />

In the present study, Zn 2+ was contrasted with Ca 2+ under<br />

the optimum conditions previously determined but also<br />

varied this with a ≤0.5 unit pH differences in either<br />

direction. Cumulative mean values showed that the<br />

highest biomass was obtained at 0.5 mM Ca 2+


Figure 1. Biomass profiles of R. stolonifer cultivated in buffered synthetic broth supplemented with different levels<br />

of calcium chloride for 120 h at pH 4.5 and temperature of 20°C, ambient.<br />

Omoifo 4279


4280 Afr. J. Biotechnol.<br />

Table 2. Analysis of variance of optical density readings (620 nm) of induced yeast<br />

cells of R. stolonifer.<br />

Source of variation DF SS MS F-pr.<br />

Concentration 6 0.043517 0.007253 0.316<br />

Time 4 0.068225 0.017056 0.029*<br />

Concentration x time 24 0.187666 0.007819 0.192<br />

Residual 105 0.638335 0.006079<br />

Total 139 0.937743<br />

*Significant at p < 0.05 probability level; DF, degree of freedom; SS, sum of square, MS,<br />

mean sum; F-pr, frequency of probability.<br />

Table 3. Homogenous subsets of mean biomass estimates<br />

obtained during sporangiospore-yeast transformation of R.<br />

stolonifer cultivated in synthetic broth for 120 h with pH 4.5<br />

at 28°C, ambient.<br />

Treatment : Calcium chloride (mM) Mean<br />

Subset 1<br />

1.8 0.1854<br />

Subset 2<br />

0.5 0.1676<br />

Subset 3<br />

Control 0.1399<br />

0.2 0.1361<br />

0.25 0.1462<br />

1.0 0.1381<br />

1.5 0.1360<br />

Means separation based on L.S.D. 0.04889 at p < 0.05.<br />

supplementation but was the least with the 0.25 mM Zn 2+<br />

challenge which was barely lower than 1.8 mM Ca 2+<br />

insult (Table 4). This indicated that Ca 2+ ion at 0.5 mM<br />

concentration was more effective in promoting yeast<br />

induction/proliferation.<br />

To know the contribution of the various factors<br />

incorporated into the growth medium, a split-plot analysis<br />

of variance of growth data was done. It was shown that<br />

the main factors including ionic concentration, pH and<br />

time, as well as their interactions made significant impact<br />

(p < 0.1) on growth of R. stolonifer as yeast cells (Table<br />

5). The specific contribution of pH levels to yeast proliferation<br />

is shown in Figure 2. The pH influenced yeast<br />

proliferation. At 0.5 mM Ca 2+ concentration where<br />

optimum growth occurred, maximum growth was at pH<br />

4.5, whereas it was at pH 5.0 when the 1.8 mM Ca 2+<br />

concentration (which had lower optimum values than the<br />

0.5 mM Ca 2+ concentration) was used. While the least<br />

biomass was recorded at 0.25 mM Zn 2+ concentration,<br />

maximum growth with this ion also occurred at pH 5.0.<br />

But at pH4.2 where the least growth occurred for all the<br />

ionic concentrations, the 0.25 mM Zn 2+ had higher growth<br />

value than the 1.8 mM Ca 2+ concentration. While growth<br />

was compromised at pH 4.2 in the 1.8 mM Ca 2+ culture,<br />

the pressure was relieved as the external pH rise. This<br />

indicated that at the cytosolic level, there was interaction<br />

between the type of ion and pH on the one hand, and the<br />

ionic concentration and pH level on the other. A<br />

comparison of biomass of the Ca 2+ challenge at all the pH<br />

levels tested suggested that yeast induction and proliferation<br />

is more sensitive to higher level Ca 2+ insult.<br />

Since there is interest in conditions where determinable<br />

growth phases (lag, log and stationary) occurred, a timecourse<br />

pattern should illustrate this. Induced proliferating<br />

yeast cells of R. stolonifer assumed sigmoid curve with<br />

0.25 mM Zn 2+ supplementation at the lower pH values,<br />

whereas at pH 5.0 where the biomass was higher (Figure<br />

2), there appeared to be a resurgence of growth after the<br />

initial rapid log growth and wind-down 96 h from<br />

commencement of experiment (Figure 3a). The occurrence<br />

of sigmoid growth of yeast cells induced from<br />

sporangiospores of M. circinelloides cultivated in 0.25<br />

mM Zn 2+ supplemented pH 4.5 minimal cultures has been<br />

previously reported (Omoifo, 2006a). In that study, other


Optical density at 620<br />

Table 4. Mean biomass of induced yeast cells from sporangiospores of R.<br />

stolonifer cultivated in buffered synthetic broth at different levels of<br />

exogenously applied Ca 2+ and Zn 2+ ions.<br />

Parameter<br />

Optical density at 620 nm<br />

0.25 mM ZnSO4 0.50 mM CaCl2 1.80 mM CaCl2<br />

Mean 0.3795 0.8252 0.3941<br />

S.E. 0.003 0.010 0.006<br />

Fold-increment 2.2 2.1<br />

Table 5. Analysis of variance of growth data of R. stolonifer cultivated in buffered synthetic<br />

broth at different pH levels and exogenously applied ions.<br />

Source of variation d.f. Sum of square F-value<br />

Concentration 2 7.693008


4282 Afr. J. Biotechnol.<br />

Figure 3. Time-course pattern in the growth of induced yeast<br />

cells of R. stolonifer at different combinations of ions and pH<br />

levels.<br />

overcame inherent repression and assumed proliferation,<br />

and hence the resurgence of growth prior to termination<br />

of experiments. In contrast, in the 0.5 mM Ca 2+ challenge,<br />

a sigmoid growth pattern was described in the buffered<br />

pH 5.0 culture. However, a resurgence of growth occurred<br />

after sigmoid pattern when the cultures were buffered<br />

at the lower levels of pH (Figure 3b). Perhaps similar<br />

explanation for this phenomenon stated earlier is here<br />

forth attributable. Growth profiles at the 1.8 mM Ca 2+<br />

concentration showed greater variability from the sigmoid<br />

pattern (Figure 3c). Growth had extended lag: 96 h at pH<br />

4.2 and 72 h at pH 4.5; but it was very short at pH 5.0


Table 6. Overall yield of yeast cells induced from sporangiospores of R. stolonifer<br />

cultivated in buffered synthetic broth at different levels of exogenously applied Ca 2+<br />

and Zn 2+ ions.<br />

Parameter<br />

Unicellular count (x10 6 )<br />

0.25 mM ZnSO4 0.50 mM CaCl2 1.80 mM CaCl2<br />

Mean 8.99 87.31 53.56<br />

Standard error 0.149 1.629 1.64<br />

Fold-increment 9.71 1.63<br />

Comparing tables 4 and 6, the difference that exists between 0.25 mM ZnSO4 and 0.5<br />

mM CaCl2 on one hand and 0.5 mM CaCl2 and 1.8 mM CaCl2 on the other are also<br />

reflected in the direct cell count data, although the magnitude vary. As the CaCl2 level<br />

increases, growth of induced yeast cells is suppressed.<br />

where a resurgence of growth also occurred after 96 h.<br />

The higher profile description at pH 5.0 is a reflection of<br />

the magnitude of growth shown in Figure 2 and shows<br />

similarity with the pattern in the 0.25 mM Zn 2+ supplementation<br />

(Figure 3a) although its magnitude was greater<br />

(Figure 2). Microscopic examination revealed that<br />

morphological expression in the pH 5.0 buffered cultures<br />

was protoplast and yeast cell, except when the ionic<br />

concentration was 0.5 mM Ca 2+ , which was of mainly<br />

terminal budding yeast cell.<br />

In all experiments, except with control and 0.25 mM<br />

Zn 2+ supplementation, turbidity appeared to occur probably<br />

resulting from precipitation of calcium phosphate<br />

and this appeared to increase with Ca 2+ levels. Similar<br />

observation was made in the study which showed the<br />

effect of exogenous Ca 2+ on the growth of Aureobasidium<br />

pullulans (Madi et al., 1997). In order to validate the<br />

findings of this study, especially where sigmoid curves<br />

were obtained for optical density readings, direct cell<br />

count was do. This would eliminate any discrepancy in<br />

O.D. readings that could arise from calcium phosphate<br />

precipitation.<br />

Unicellular population size in the 0.5 mM Ca 2+ culture<br />

was 9.7-fold that of the 0.25 mM Zn 2+ , while it was 1.6fold<br />

the magnitude of the 1.8 mM Ca 2+ broth (Table 6). In<br />

contrast, when biomass estimation was done through<br />

measurement of O.D., the value of 0.5 mM Ca 2+ broth<br />

was 2.2-fold that of 0.25 mM Zn 2+ and 2.1-fold the<br />

magnitude in 1.8 mM Ca 2+ culture. Earlier experiment had<br />

shown that protoplast, cytosolic units that is, nucleates in<br />

earlier studies, are released when cell wall lysed, and<br />

thallic subtypes and conidia were induced in Zn 2+<br />

supplemented broths (Omoifo, 2006a). However, thalli<br />

were absent in the presence of 100 mM uracil (Omoifo,<br />

2006b). In the present study, protoplasts and yeast cells<br />

contributed to the O.D. readings in the Zn 2+ supplemented<br />

medium, whereas only yeast cells were herein<br />

counted. Calcium phosphate precipitated only in Ca 2+<br />

supplemented media. Thus, the contributors to the O.D.<br />

readings included the induced cellular entities and<br />

calcium phosphate precipitate. Since the value differential<br />

between the 1.8 and 0.5 mM Ca 2+ estimate was larger, as<br />

Omoifo 4283<br />

reflected in the greater than 2-fold increase when O.D.<br />

was used in biomass assessment in contrast to the use<br />

of direct unicellular count (less than 2-fold increase), it<br />

was difficult to assume that calcium phosphate precipitation<br />

was the sole cause of the reduction in the biomass<br />

estimate in the 1.8 mM Ca 2+ supplemented medium.<br />

Perhaps, the high Ca 2+ concentration suppressed yeast<br />

cell induction and proliferation.<br />

This was probably confirmed at pH 5.0 where yeast<br />

count in the 1.8 mM Ca 2+ supplementation was significantly<br />

less than that of 0.5 mM Ca 2+ (Figure 4).<br />

Furthermore, the 1.8 mM Ca 2+ medium contained terminal<br />

budding yeast cells, unbudded yeast cells as well as<br />

protoplasts, whereas 0.5 mM Ca 2+ broth contained<br />

terminal budding yeast cells only. Apparently, excess<br />

Ca 2+ influenced the ability of protoplasts to convert to<br />

yeast form on the one hand, and of unicellular yeast form<br />

to undergo mitogenesis and or proliferation on the other.<br />

Similar trend, higher values for 0.5 mM Ca 2+ as against<br />

1.8 mM Ca 2+ , occurred at pH 4.2 or 4.5 and further<br />

supports the results obtained when optical density was<br />

used for biomass estimation (Figure 2). These results<br />

illustrate the effect of interaction between pH level and<br />

exogenous Ca 2+ supply.<br />

To further test all such interactions, an analysis of<br />

variance of induced yeast count data was done (Table 7).<br />

There was significant (p < 0.001) difference for the<br />

induction and proliferation because of treatments, indicating<br />

the existence of variability in the transformation<br />

process.<br />

The existence of variation in the treatments is in agreement<br />

with such findings when optical density was the<br />

measure of biomass, as shown earlier. This also agrees<br />

with the finding of Omoifo (2006a) when M. circinelloides<br />

Tieghem was the test microorganism and Zn 2+ and<br />

myoinositol were incorporated into the growth medium. In<br />

the present study, the mean performances of treatments<br />

are presented in Table 8.<br />

Of the treatments, the least induced yeast cell count<br />

was obtained in the 0.25 mM ZnSO4: pH 4.2 medium and<br />

progressively increased with pH until the optimum for this<br />

ion in 0.25 mM ZnSO4: pH 5.0 broth. The 0.5 mM Ca 2+


4284 Afr. J. Biotechnol.<br />

Ind uced yeast cell count (1 x 10 6 )<br />

0.25 mM ZnSO4<br />

0.5 mM CaCl2<br />

1.8 mM CaCl2<br />

Figure 4. Microscopic cell count of induced yeast cells of R. stolonifer in Ca 2+ and Zn 2+ incorporated buffered<br />

synthetic broth as affected by different levels of pH.<br />

Table 7. Treatment and induced cell estimates with their respective standard errors and form<br />

of growth during the cultivation of R. stolonifer in synthetic broth for 120 h at temp28°C.<br />

Treatment Mean cell count (x10 6 ) Form of growth*<br />

0.25 mM ZnSO4: pH4.2 4.94±2.04 Y,P<br />

0.25 mM ZnSO4: pH4.5 9.68±4.47 Y,P<br />

0.25 mM ZnSO4: pH5.0 12.42±4.83 Y,P<br />

0.50 mM CaCl2: pH4.2 56.60±29.87 Y, P<br />

0.50 mM CaCl2: pH4.5 71.02±33.99 Y<br />

0.50 mM CaCl2: pH5.0 134.08±62.67 Y<br />

1.80 mM CaCl2: pH4.2 24.24±14.21 Y, P<br />

1.80 mM CaCl2: pH4.5 41.38±19.61 Y, P<br />

1.80 mM CaCl2: pH5.0 80.15±35.84 Y, P<br />

*Y, yeast cell; P, protoplast.<br />

concentration on average had higher growth value. The<br />

buffered pH 4.2 culture had mean count of 56.60 ± 29.87<br />

and this increased as the medium pH until the maximum<br />

at 134.08 ± 62.27 at pH 5.0. Comparatively, 0.5 mM<br />

CaCl2 supported higher level of growth than 1.8 mM<br />

CaCl2. The increase in growth value also followed the<br />

same trend as those at the other levels. Therefore, the<br />

results of treatment means confirmed the influence of<br />

extracellular pH on the induction from, and subsequent<br />

proliferation of yeasts from sporangios pores of R.<br />

stolonifer.<br />

Figure 5 shows yeast proliferation profiles in the different


Table 8. Analysis of variance of induced yeast cell count of R. stolonifer cultivated in<br />

buffered synthetic broth with different pH levels and exogenously applied ions.<br />

Source of variation Degree of freedom Sum of square F-value<br />

Concentration 2 184113.5


4286 Afr. J. Biotechnol.<br />

Figure 5. Time-course pattern in induced yeast cell count of R.<br />

stolonifer at different combinations of ions and pH levels. Growth<br />

pattern was sigmoid in the buffered pH 4.5 synthetic broths<br />

when Ca2+ was exogenously supplied, and at pH 4.2and 5.0,<br />

growth was still at the logarithmic phase when the experiments<br />

were terminated. Growth magnitude was reduced at pH 4.2.<br />

Table 9. Paired t-test on total unicellular count in media incorporated with Ca 2+ or<br />

Zn 2+<br />

Ionic concentration Mean Variance N<br />

0.5 mM Ca 2+ 9.31567E7 1.05997E16 60<br />

0.25 mM Zn 2+ 8.10667E6 6.52549E13 60<br />

t = 6.87839, p = 4.34432E-9. At the 0.05 level, the two means are significantly different


Log10 (number of induced yeast cells)<br />

Log10 (number of induced yeast cells)<br />

Time (h)<br />

Time (h)<br />

0.5 mM CaCl2 pH 4.2<br />

0.5 mM CaCl2 pH 4.5<br />

0.5 mM CaCl2 pH 5.0<br />

1.8 mM CaCl2 pH 4.2<br />

1.8 mM CaCl2 pH 4.5<br />

1.8 mM CaCl2 pH 5.0<br />

Figure 6. Log transformed induced yeast cell count of R. stolonifer in cultures where sigmoid growth was exhibited<br />

Table 10. Lag phase and specific growth rate in cultures where sigmoid growth pattern was<br />

exhibited.<br />

Extracellular concentration 0.5 mM Ca 2+ 1.8 mM Ca 2+<br />

Extracellular pH 4.2 4.5 5.0 4.2 4.5 5.0<br />

Lag phase (h) 24 24 24 48 48 48<br />

µ 0.025 0.026 0.029 0.037 0.039 0.031<br />

The longer lag possibly means that growth was repressed at that concentration/pH level resulting in lack<br />

of cell number increase. Conceivably, the eventual increase in cell number may then have been due to<br />

a minority of cells in the medium not initially suppressed, which could continue to grow and divide. In<br />

this situation, the lag would represent the time required for the subpopulation of cells not repressed to<br />

overgrow the arrested population. Alternatively, the cells could overcome the repressive effect of Ca 2+,<br />

by genetic adaptation and subsequently proliferate, thus achieving higher specific growth rate.<br />

Omoifo 4287


4288 Afr. J. Biotechnol.<br />

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membrane of Neurospora during active transport of glucose:<br />

evidence for a proton-dependent co-transport system. Proc. Natl.<br />

Acad. Sci. USA, 71: 1935-1939.<br />

Ton V, Rao R (2004). Functional expression of heterologous proteins in<br />

yeast: insights into Ca2_signaling and Ca2_-transporting ATPases.<br />

Am. J. Physiol. Cell Physiol. 287: 580-589.<br />

Tonomura Y (1986). Na+, K+-ATPase in the plasma membrane. In:<br />

Energy-transducing ATPase-structure and kinetics, Cambridge<br />

University Press, London, pp. 240-281.<br />

Voet D, Voet JG (1995). Biochemistry 2nd edn. New York: John Wiley<br />

and Sons Inc. p. 1390<br />

West IC, Mitchell P (1972). Proton-coupled S.galactoside translocation<br />

in non-metabolizing Escherichia coli. J. Bioenerget. 3: 445-453<br />

West IC, Mitchell P (1973). Stoichiometry of lactose-proton symport<br />

across the plasma membrane of Escherichia coli. Biochem. J. 132:<br />

587-592.<br />

Youatt J (1990). Calcium and microorganisms. Crit. Rev. Microbial. 19:<br />

83-97.


African Journal of Biotechnology Vol. 10(20), pp. 4289-4295, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1198<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Genetic variation and bottleneck in Japanese quail<br />

(Coturnix japonica) strains using twelve microsatellite<br />

markers<br />

Hossein Emrani 1 *, Cyrus Amirinia 1 and Mohammad Ali Radjaee Arbabe 2<br />

1 Department of Biotechnology, Animal Science Research Institution of Iran (ASRI), Karaj, Iran.<br />

2 Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.<br />

Accepted 28 January, 2011<br />

The genetic structure of four strains of Japanese quail (Pharach, Panda, Tuxedo and Golden) was<br />

investigated by 12 microsatellite markers in Iran. Whole blood samples were collected from 200<br />

individuals belonging to four strains and genomic DNA was extracted by salting out procedure. The 12<br />

microsatellite markers were amplified through polymerase chain reaction (PCR). The results indicated<br />

that the average heterozygosity between strains ranged from 0.4343 to 0.7902. The Chi-square and<br />

likelihood ratio test performed to examine strains for Hardy-Weinberg equilibrium showed some highly<br />

significant deviations from deficiency. FIS value, which indicates the degree of departure from random<br />

mating, was particularly high in the four strains when compared to that of other breeds, indicating<br />

heterozygosity deficiency. Maximum Nei’s genetic distance was observed between Tuxedo and Golden<br />

strains; whereas the minimum Nei’s genetic distance was observed between Pharach and Tuxedo<br />

strains. Tuxedo strain revealed bottleneck event under three models of microsatellite evolution for sign,<br />

standardized differences and Wilcoxon sign rank tests. The power of the microsatellite marker as a<br />

useful tool for evaluating genetic variation within and between Japanese quail strains was also noted.<br />

Key word: Bottleneck, genetic distance, genetic variation, microsatellite, Japanese quail.<br />

INTRODUCTION<br />

The Japanese quail, originally domesticated around the<br />

11th century as a pet song bird (Howes, 1964; Crawford,<br />

1990), is valued for its eggs and meat. It is also a<br />

valuable laboratory species because of its small body<br />

size, rapid generation interval and high prolificacy (Mills<br />

et al., 1997). Japanese quail is phylogenetically closely<br />

related to the chicken (Stock and Bunch, 1982). Both<br />

species have a karyotype of 2n = 78 chromosomes and a<br />

similar genome length of 1.2 × 10 9 bp, consisting of<br />

morphologically distinct macrochromosomes (1–8 and<br />

the ZW sex chromosomes) and cytologically indistinguishable<br />

microchromosomes (Shibusawa et al., 2001).<br />

*Corresponding author. E-mail: h_emrani@asri.ir. Tel: +98-261-<br />

4430010-14 (465). Fax: +98-261-4413258.<br />

Abbreviations: PIC, Polymorphism information content; PCR,<br />

polymerase chain reaction; HWE, Hardy-Weinberg equilibrium.<br />

Thus, the Japanese quail has been recommended as a<br />

model species for poultry (Baumgartner, 1994; Mills et<br />

al., 1997; Kayang et al., 2004). Recently, 100 microsatellite<br />

markers were developed for Japanese quail<br />

(Kayang et al., 2000, 2002) and used to build the first<br />

microsatellite linkage map, which spans 576 cM and<br />

contains 58 loci assigned to 12 linkage groups (Kayang<br />

et al., 2004). Microsatellites are valuable genetic markers<br />

due to their dense distribution in the genome, great<br />

variation, co-dominant inheritance and easy genotyping.<br />

They were extensively used in parentage testing, linkage<br />

analyses, population genetics and bottleneck studies<br />

(Goldstein and Pollock, 1997).<br />

Genetic diversity in populations and the evolutionary<br />

forces that affect it are central to both evolutionary<br />

(Wright, 1931) and conservation biology (Frankham,<br />

1995b). When populations undergo temporary large<br />

reductions in size of so-called population bottlenecks (Nei<br />

et al., 1975), they lose genetic diversity through random<br />

drift. Identifying populations that have experienced a


4290 Afr. J. Biotechnol.<br />

severe reduction in size (a bottleneck) is important<br />

because bottlenecks can increase demographic stochasticity,<br />

rates of inbreeding, loss of genetic variation and<br />

fixation of mildly deleterious alleles, thereby reducing<br />

evolutionary potential and increasing the probability of<br />

population extinction (Frankel and Soule, 1981;<br />

Frankham, 1995a, b; Rall et al., 1988; Bryant et al., 1986;<br />

Goodnight, 1987; Luikart et al., 1998). In this study, the<br />

bottleneck and genetic diversity within and among four<br />

strains of Japanese quail was analyzed (Panda, Pharach,<br />

Golden and Tuxedo) by 12 microsatellite markers as<br />

recom-mended by Kayang et al. (2002).<br />

MATERIALS AND METHODS<br />

Sampling and DNA extraction<br />

Japanese quail strains, reared at Bonab Research Center,<br />

Northwest of Iran, were used as the experimental animals. These<br />

strains were reared for 17 generations and were phenotypically<br />

selected for high weight gain. Any new individual has not been<br />

introduced to the strains.<br />

Whole blood samples were randomly collected from 200<br />

individual belonging to four strains: 70 individuals from Pharach<br />

strain, 40 individuals from Panda strain, 50 individuals from Tuxedo<br />

strain and 40 individuals from Golden strain. About 200 µl of blood<br />

per individual was collected in 0.5 mM EDTA (pH 8). Genomic DNA<br />

was extracted by the salting out procedure (Miller et al., 1988).<br />

Microsatellite primers<br />

12 microsatellites with high polymorphism information content (PIC)<br />

value, indicating the informative of the markers, recommended by<br />

Kayang et al. (2002) were used in this study. The primers were<br />

encoded by GUJ0001, GUJ0021, GUJ0023, GUJ0034, GUJ0041,<br />

GUJ0049, GUJ0052, GUJ0055, GUJ0059, GUJ0070, GUJ0097<br />

and GUJ0099 characters. Primers were synthesized by TIBMO-<br />

LBIOL Company, Germany.<br />

PCR amplification<br />

Genomic DNA was amplified by PCR containing 50 ng of template<br />

DNA, 2.5 µl of 10 x buffer (10 Mm Tris, 50 mM Kcl, 0.1% gelatin,<br />

pH 8.4), 1.5 to 2.0 mM MgCl2 (as optimized for each marker), 200<br />

µM of each dNTPs , 1 µl of 5 pmol/µl each for forward and reverse<br />

primers and 1 u of Taq DNA polymerase; ddH2O was added to the<br />

volume of 25 µl. Reactions were carried out on a thermal cycler<br />

(Biometra) using an initial 2.5 min denaturation at 95°C, followed by<br />

30 cycles of denaturation at 95°C for 1 min, annealing at 50 to 62°C<br />

for 30 s, extension at 72°C for 30 s, and a final extension step at<br />

72°C for 5 min. The PCR products were electrophoresed on 8%<br />

denatured urea-polyacrylamide gel and bands visualized by rapid<br />

silver staining method (Sanguinetti et al., 1994). The gel was<br />

photographed using Gel-Doc XR (BioRad). Patterns of the different<br />

genotypes for each microsatellite locus were analyzed using Gel-<br />

Pro analyzer, version 3.1 for windows TM, which determines the<br />

allele's sizes in each animal.<br />

Statistical analysis<br />

Allelic frequencies were estimated using genotype counting. Hardy-<br />

Weinberg equilibrium (HWE) based on likelihood ratio were tested<br />

for different locus-population combinations by POPGENE software<br />

Version 1.31 (Yeh et al., 1999). Nei’s (1972) standard genetic<br />

distance and Reynolds genetic distance (Reynolds et al., 1983)<br />

matrices were calculated by tools for population genetic analysis<br />

(TFPGA) software version 1.3 (Miller, 1997) and dendrograms were<br />

constructed using unweighted pair-group method with arithmetic<br />

mean (UPGMA) by TFPGA software (Miller, 1997) with 1000<br />

bootstrap replications. Polymorphism criteria such as PIC<br />

(Botestein et al., 1980) and the number of observed and effective<br />

alleles (Hedrick, 1999) were also estimated by HET software<br />

version 1.8 (Ott, 2001) and POPGENE software packages, respectively<br />

with assumption of Hardy-Weinberg equilibrium. Average<br />

expected heterozygosity was calculated by POPGENE software<br />

(Yeh et al., 1999).<br />

To accomplish the goal of finding evidence of fluctuations in<br />

population sizes, bottleneck software package was used (Cornuet<br />

and Luikart, 1996) to detect deviations from mutation drift<br />

equilibrium. This method consisted three excess heterozygosity<br />

tests developed by Cornuet and Luikart (1996): (i) sign test, (ii)<br />

standardized differences test and (iii) a Wilcoxon sign-rank test. The<br />

probability distribution was established using 1000 simulations<br />

under three models: infinite allele model (IAM), stepwise mutation<br />

model (SMM) and two-phase model of mutation (TPM) by using<br />

Bottleneck v1.2.02 Software (http://www.ensam.inra.fr/URLB).<br />

RESULTS<br />

All loci were polymorphic in the four Japanese quail<br />

strains, except GUJ0001 and GUJ0041, which were<br />

monomorphic in the Panda and Tuxedo, respectively.<br />

The number of alleles per locus varied from 9 (GUJ0059)<br />

to 3 (GUJ0001, GUJ0021 and GUJ0041). New alleles<br />

were found in several loci that have not been previously<br />

reported in the same loci for other Japanese quail by<br />

Kayang et al. (2002). Significant deviation from HWE in<br />

all population-locus combinations were observed except<br />

for GUJ0041 in Pharach strain, GUJ0023, GUJ0099,<br />

GUJ0021, GUJ0034, GUJ0041 and GUJ0097 in Panda<br />

strain and GUJ0034, GUJ0055, GUJ0049 and GUJ0070<br />

in Golden strain (P < 0.05). Effective number of alleles,<br />

PIC, observed heterozygosity and expected heterozygosity<br />

are given in Table 1. All the expected heterozygosities<br />

were larger than the observed heterozygosities,<br />

except for GUJ0097 in Tuxedo.<br />

Nei’s (1972) standard genetic distance (Da), corrected<br />

for bias, due to sampling of individual, and Reynolds<br />

genetic distance (D Reynolds) matrices (Reynolds et al.,<br />

1983) are reported in Table 2.<br />

The expected heterozygosity (HExp) ranged from 0.841<br />

(GUJ0070) in the Pharach strain to 0.486 (GUJ0052) in<br />

the Golden strain. Polymorphism criteria such as PIC<br />

values and number of alleles indicate high polymorphism<br />

at some of the loci. The PIC is a good standard for<br />

evaluating genetic markers. The highest and the lowest<br />

PIC values belonged to GUJ0059 in Golden (0.815) and<br />

GUJ0041 in Panda strain (0.427), respectively. Effective<br />

number of alleles is a reciprocal of gene homozygosity<br />

(Hartl and Clark, 1989). The highest and the least<br />

effective numbers of alleles were in GUJ0059 locus<br />

(6.04) in Pharach strain and in GUJ0041 locus (1.91) in


Table 1. Statistical results of 12 loci of quail strains.<br />

Microsatellite<br />

primer<br />

GUJ0001<br />

GUJ0021<br />

GUJ0034<br />

GUJ0041<br />

GUJ0049<br />

GUJ0059<br />

GUJ0070<br />

GUJ0097<br />

Genetic parameter of<br />

microsatellite loci<br />

Sample size (n)<br />

Pharach 70 Panda 40<br />

Tuxedo<br />

50<br />

Emrani et al. 4291<br />

Golden 40<br />

NO 5 1 3 4<br />

Ne 3.37 1.00 2.95 3.07<br />

PIC 0.641 0.000 0.586 0.613<br />

HObs 0.230 0.000 0.000 0.000<br />

HExp 0.717 0.000 0.676 0.687<br />

FIS 0.672 0 1 1<br />

NO 6 3 5 5<br />

Ne 4.48 2.57 3.66 3.58<br />

PIC 0.751 0.535 0.680 0.677<br />

HObs 0.526 0.666 0.428 0.055<br />

HExp 0.798 0.666 0.727 0.730<br />

FIS 0.322 -0.091 0.410 0.922<br />

NO 5 5 5 7<br />

Ne 3.10 4.57 3.20 4.78<br />

PIC 0.627 0.745 0.636 0.761<br />

HObs 0.200 0.750 0.250 0.571<br />

HExp 0.690 0.883 0.709 0.805<br />

FIS 0.705 0.040 0.636 0.277<br />

NO 6 3 1 6<br />

Ne 2.65 1.91 1.00 2.75<br />

PIC 0.590 0.427 0.000 0.568<br />

HObs 0.321 0.250 0.000 0.250<br />

HExp 0.629 0.491 0.000 0.646<br />

FIS 0.484 0.475 0 0.601<br />

NO 6 6 5 7<br />

Ne 4.00 4.26 3.50 4.00<br />

PIC 0.715 0.735 0.668 0.715<br />

HObs 0.600 0.666 0.400 0.583<br />

HExp 0.769 0.787 0.733 0.766<br />

FIS 0.200 0.129 0.441 0.222<br />

NO 5 4 6 8<br />

Ne 3.27 3.57 4.96 6.03<br />

PIC 0.650 0.762 0.767 0.815<br />

HObs 0.333 0.000 0.250 0.071<br />

HExp 0.709 0.757 0.815 0.849<br />

FIS 0.520 1 0.687 0.914<br />

NO 7 5 6 7<br />

Ne 6.04 4.00 4.88 4.57<br />

PIC 0.813 0.707 0.765 0.750<br />

HObs 0.300 0.333 0.600 0.500<br />

HExp 0.841 0.782 0.815 0.797<br />

FIS 0.640 0.555 0.245 0.360<br />

NO 6 6 6 6<br />

Ne 4.84 3.66 4.76 3.52<br />

PIC 0.762 0.690 0.758 0.685<br />

HObs 0.500 0.625 0.846 0.647<br />

HExp 0.807 0.7500 0.805 0.727<br />

FIS 0.369 0.139 - 0.071 0.096


4292 Afr. J. Biotechnol.<br />

Table 1. Contd.<br />

GUJ0055<br />

GUJ0052<br />

GUJ0023<br />

GUJ0099<br />

NO 5 4 4 4<br />

Ne 4.458 3.446 3.188 3.173<br />

PIC 0.740 0.658 0.637 0.489<br />

HObs 0.45 0.555 0.307 0.411<br />

HExp 0.783 0.730 0.699 0.547<br />

FIS 0.399 - 0.217 0.552 0.237<br />

NO 5 4 5 4<br />

Ne 3.913 3.677 4.083 1.933<br />

PIC 0.701 0.685 0.712 0.563<br />

HObs 0.166 0.666 0.642 0.166<br />

HExp 0.750 0.755 0.768 0.486<br />

FIS 0.864 - 0.077 0.148 0.589<br />

NO 5 4 4 4<br />

Ne 3.161 2.976 3.881 2.919<br />

PIC 0.647 0.616 0.694 0.597<br />

HObs 0.414 0.375 0.500 0.235<br />

HExp 0.689 0.685 0.755 0.667<br />

FIS 0.357 0.435 0.326 0.687<br />

NO 5 4 3 4<br />

Ne 4.304 3.521 2.945 3.085<br />

PIC 0.729 0.662 0.586 0.625<br />

HObs 0.607 0.666 0.143 0.388<br />

HExp 0.774 0.736 0.672 0.685<br />

FIS 0.209 - 0.014 0.785 0.234<br />

NO, observed number of alleles; Ne, effective number of alleles; PIC, polymorphism information content; HObs , observed<br />

heterozygosity; HExp, expected heterozygosity; FIS , is the inbreeding coefficient.<br />

Table 2. Distance matrices estimated by Da (above diagonal) and DReynolds (below diagonal)<br />

distance using 1000 bootstrap replications.<br />

Strain Pharach Panda Tuxedo Golden<br />

Pharach *** 0.307 0.247 0.571<br />

Panda 0.050 *** 0.402 0.743<br />

Tuxedo 0.044 0.071 *** 0.794<br />

Golden 0.112 0.142 0.128 ***<br />

Panda strain, respectively (Table 1). FIS of the inbreeding<br />

coefficient, measure the relative heterozygote deficit and<br />

non-random mating in samples. Its value ranges between<br />

-1 (all individuals heterozygote), 0 (random association of<br />

alleles) and 1 (all individuals homozygote). If inbreeding<br />

is avoided, F = 0; negative F indices are usually from<br />

selection in favor of the heterozygotes, whereas positive<br />

values indicate that the considered population has an<br />

inbreeding system of mating (Liu et al., 2008). The mean<br />

values of FIS estimates obtained 0.45, 0.3, 0.47 and 0.46<br />

for Pharach, Panda, Tuxedo and Golden strains, respectively<br />

indicating the high level of inbreeding in the four<br />

strains. This could be as a result of a bottleneck effect.<br />

Bottlenecks influence the distribution of genetic variation<br />

within and among populations, thus the genetic effects of<br />

reductions in population size requires evaluation. To characterize<br />

it, sign, standardized differences and Wilcoxon<br />

sign rank tests were utilized. The values of average<br />

heterozygosity (He) and their probabilities (H > He) in the<br />

sign test, under three models of microsatellite evolution<br />

(IAM, SMM and TPM) were calculated and used to<br />

measure the expected number of loci with heterozygosity<br />

excess (Table 3). If the probability values for each model<br />

were less than 0.05, then null hypothesis was rejected,<br />

indicating that the bottleneck event occurred in this<br />

model. For example, the expected number of loci with<br />

heterozygosity excess in Pharach strain was 7.10 and<br />

7.15 for TPM and SMM, under null hypothesis in the sign<br />

test, respectively (Table 3). The probability values were,<br />

0.0749 and 0.0792, respectively, meaning that the null


Table 3. Test for null hypothesis testing under three microsatellite evaluation models, the IAM, SMM<br />

and TPM.<br />

Parameter IAM TPM SMM<br />

Sign test: number of loci with heterozygosity excess (probability)<br />

Pharach Expected = 7.01(0.0151) * 7.10 (0.0749) 7.15(0.0792)<br />

Panda Expected = 6.37(0.0024) * 6.46(0.0028) * 6.59 (0.1179)<br />

Tuxedo Expected = 6.32(0.0023) * 6.49(0.0030) * 6.54(0.0032) *<br />

Golden Expected = 7.03(0.0690) 7.11 (0.2095) 7.07 (0.3649)<br />

Standardized differences test (Ti values and probability)<br />

Pharach 3.272 (0.00053) * 2.077 (0.0189) * 0.131 (0.4480)<br />

Panda 4.204 (0.00001) * 3.435 (0.0003) * 2.497 (0.0062) *<br />

Tuxedo 4.998(0.00001) * 4.490(0.0000) * 3.729 (0.0001*)<br />

Golden 2.666 (0.0038) * 1.461 (0.0720) -0.441 (0.3295)<br />

Wilcox sign-rank test (probability of heterozygosity excess)<br />

Pharach 0.03418* 0.04248* 0.2334<br />

Panda 0.00049* 0.00049* 0.00342*<br />

Tuxedo 0.00049* 0.00049* 0.00049*<br />

Golden 0.00122* 0.05225 0.67725<br />

*Rejection of null hypothesis/bottleneck.<br />

hypothesis was accepted when using sign test. These<br />

results indicate that, due to mutation-drift equilibrium, the<br />

Pharach strain has not undergone a recent genetic bottleneck.<br />

However, the expected number of loci with<br />

heterozygosity excess was 7.01 for IAM with probability<br />

of 0.0151 and thus rejected the null hypothesis, indicating<br />

bottleneck under this model.<br />

The standardized difference test for Pharach strain<br />

provided the Ti (probability) statistics equal to 3.272<br />

(0.00053), 2.077 (0.0189) and 0.131 (0.4480) for the IAM,<br />

TPM and SMM models, respectively. The probability<br />

values were less than 0.05 for IAM and TPM, thus<br />

hypothesis of mutation-drift equilibrium was accepted<br />

under SMM only. Using the Wilcoxon rank test, the<br />

probability values were 0.03418 (IAM), 0.04248 (TPM)<br />

and 0.2334 (SMM) under the three models, indicating<br />

that the null hypothesis was accepted under SMM model.<br />

Among the used tests, Wilcoxon rank test and standard<br />

difference test showed bottleneck event in golden strain<br />

under IAM. However other P values tests were not<br />

significant, demonstrating that the null hypothesis of<br />

mutation–drift equilibrium was fulfilled in this strain. The<br />

results of all the three tests together showed that the<br />

bottleneck event did not occur in this strain. Golden strain<br />

is a wild strain that was collected from its natural niche<br />

and suffered few selective breeding programs. Results<br />

revealed bottleneck event in Tuxedo strain under three<br />

models for sign, standardized differences and Wilcoxon<br />

sign rank tests.<br />

DISCUSSION<br />

Emrani et al. 4293<br />

The Hardy-Weinberg equilibrium test showed several<br />

deviant loci in the four strains. There were many causes<br />

of disequilibrium such as small population, selection at or<br />

near the genomic locus, non-random mating, genetic drift<br />

and inbreeding. In addition, the possible occurrence of<br />

null alleles could have led to false observation of homozygotes<br />

which could have accounted for more deviations<br />

from HWE. The mean observed heterozygosity for these<br />

four strains were 0.387, 0.462, 0.364 and 0.325 for<br />

Pharach, Panda, Tuxedo and Golden, respectively. In all<br />

the four strains, the heterozygosity observed was lower<br />

than that reported for wild Japanese quail (0.66) (Chang<br />

et al., 2005). The average PIC of the 12 microsatellite loci<br />

in the four strains was close to the results of Kayang et<br />

al. (2002). Based on the classification of Botstein et al.<br />

(1980), PIC > 0.5 is highly informative, 0.25 < PIC < 0.5 is<br />

middle informative and PIC < 0.25 is slightly informative.<br />

In this study, all loci were highly informative (PIC > 0.5),<br />

except GUJOO41 (PIC = 0.427) in Panda strain. Reynolds<br />

distance were used to estimate pairwise genetic<br />

distance between the breed. This measure is recommended<br />

by Eding and laval (1999) for population with<br />

short divergence time. Maximum Nei’s genetic distance<br />

was observed between Tuxedo and Golden strains;<br />

whereas the minimum Nei’s genetic distance was<br />

observed between Pharach and Tuxedo strains. Both<br />

cluster resulted from Nei’s standard genetic distance and


4294 Afr. J. Biotechnol.<br />

a<br />

b<br />

Figure 1. UPGMA showing the genetic relationships among strains using<br />

Nei’s standard genetic distance (a) and Reynolds genetic distance (b).<br />

Reynolds genetic distance revealed two branches. One<br />

branch included Pharach, Tuxedo and Panda and<br />

another branch was consisted of Golden. Pharach and<br />

Tuxedo grouped closely (Figure 1). It was expected to<br />

find high genetic distance between Golden and other<br />

strains. Golden is the most prolific type among the<br />

Japanese quail strains. The mean values of FIS among<br />

the four strains were higher than that of the population<br />

studied by Kim et al. (2007), indicating a certain level of<br />

heterozygote deficiency. Significant heterozygote deficiencies<br />

have been reported in chicken breeds (Qu et al.,<br />

2006; Liu et al., 2008). The heterozygote deficiency (FIS ><br />

0) might be attributed to a number of factors, namely,<br />

sample relatedness, linkage with loci under selection<br />

(genetic hitchhiking), population heterogeneity, null<br />

alleles (non-amplifying alleles) and inbreeding<br />

(Shahsavarani and Rahimi-mianji, 2010). Null alleles<br />

were most unlikely segregated at all the loci. The most<br />

plausible explanation for the heterozygote deficiency was<br />

inbreeding in the four strains. These four closed strains<br />

especially Tuxedo strain were under selective breeding<br />

program for 17 generations. When a breeder conducts a<br />

selective breeding program, his primary objective is to<br />

alter, not conserve gene and genotypic frequencies in<br />

order to improve the population. Inbreeding and genetic<br />

drift are inevitable during a selective breeding program,<br />

because each act of selection creates a bottleneck event<br />

that accelerate the accumulation of inbreeding and<br />

magnify genetic drift. There are some techniques that can<br />

be used to moderate inbreeding and finally bottleneck so<br />

that it does not counteract selection. Managing a<br />

population to minimize the effect of bottleneck event can


e accomplished only by managing the number of<br />

effective population (Ne). Bottleneck reduces the Ne and<br />

make it difficult, if not impossible, to achieve genetic<br />

goals. Unfortunately, it is difficult to maintain a constant<br />

Ne generation after generation because Ne can decline<br />

due to diseases, selective breeding program, etc (Tave,<br />

1999). One way to maintain a constant Ne generation<br />

after generation can be pedigree mating. The weak<br />

performance of some economic traits (meat and number<br />

of eggs) in these strains, especially Tuxedo can be as a<br />

result of bottleneck event. Breeding strategies should<br />

therefore be designed to amplify the population size and<br />

simultaneously avoid inbreeding in these four strains. The<br />

information generated in this study will greatly aid in the<br />

establishment of effective breeding for these four strains<br />

and may further be utilized for studying differentiation and<br />

relationships among different quail strains.<br />

ACKNOWLEDGEMENTS<br />

This work was financially supported by the Animal Science<br />

Research Institute of Iran. The authors would like to<br />

acknowledge Dr. Ali Akbar Masoudi for his valuable input<br />

and assistance in the preparation, analysis and<br />

interpretation of this study.<br />

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African Journal of Biotechnology Vol. 10(20), pp. 3978-3985, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2334<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Characterization of a chestnut FLORICAULA/LEAFY<br />

homologous gene<br />

Tao Liu 1 *, Yun-qian Hu 2 and Xiao-xian Li 2<br />

1 Faculty of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.<br />

2 Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, Yunnan, 650204, China.<br />

Accepted 24 March, 2011<br />

The FLORICAULA/LEAFY (FLO/LFY) homologues’ genes are necessary for normal flower development<br />

and play a key role in diverse angiosperm species. In this paper, an orthologue of FLORICAULA/LEAFY,<br />

CmLFY (chestnut FLO/LFY), was isolated from the inflorescence of chestnut trees. Its expression was<br />

detected in various tissues. Furthermore, the flowering effectiveness of the gene was assessed with<br />

transgenic Arabidopsis. CmLFY protein showed a high degree of similarity to PEAFLO (78%), which is a<br />

homologue of FLO/LFY from pea. RT-PCR analysis showed that, CmLFY expressed at high levels in<br />

inflorescences, but not in young leaves, fruits or stems. The transgenic Arabidopsis with<br />

over-expressed CmLFY showed accelerated flowering, which supports that CmLFY encodes a functional<br />

orthologue of the FLORICAULA/LEAFY genes of angiosperms despite its sequence divergence. These<br />

results suggest that CmLFY is involved in inflorescence development in chestnut.<br />

Key words: Chestnut, homologue, FLORICAULA/LEAFY.<br />

INTRODUCTION<br />

Two developmental programmes can be distinguished<br />

during the life cycle of flowering plants. During the initial<br />

vegetative phase, the apical meristem produces leaves<br />

and lateral shoot. After floral induction, the plant enters<br />

into a reproductive phase and the apical meristem chan-<br />

ges its developmental pattern and initiates the production<br />

of flowers. In Antirrhinum and Arabidopsis this transition<br />

from vegetative to reproductive development pattern<br />

requires the establishment of floral meristem identity in<br />

the lateral meristems of the inflorescence, a process<br />

which has been demonstrated to be controlled by the<br />

homo- logous genes FLORICAULA (FLO) and LEAFY<br />

(LFY), respectively (Ma, 1998; Pidkowich et al., 1999).<br />

LFY is a transcriptional regulation gene thought to play a<br />

primary role in determining flower meristem identity.<br />

FLORICAULA (FLO), a LFY homologue in snapdragon,<br />

has been shown to have almost the same role. Loss func-<br />

* Corresponding author. E-mail: beixue2007@gmail.com. Tel:<br />

+86-871 5227721.<br />

Abbreviations: PCR, Polymerase chain reaction; RT-PCR,<br />

reverse transcriptase-PCR; RACE, rapid amplified cDNA ends.<br />

tion mutants of these genes result in the conversion of<br />

flowers into indeterminate secondary shoots (Coen et al.,<br />

1990; Weigel et al., 1992). The over-expression of LFY<br />

under a constitutive promoter in Arabidopsis caused early<br />

flowering and converted all lateral shoots into solitary<br />

flowers. In heterologous plants such as aspen, LFY has<br />

been shown to have effects on the acceleration of flower-<br />

ing and induction of ectopic flowers (Weigel and Nilsson,<br />

1995; Rottman et al., 2000), suggesting a conservation of<br />

LFY function across long phylogenetic distances within<br />

angiosperms. These reports strongly suggest that, the<br />

ability to control the expression of LFY or of its orthologs<br />

from other plants, could make it possible to artificially<br />

induce various plants to blossom and even skip or shorten<br />

the juvenile phase of woody plants.<br />

Flowering is an essential stage for fruit production and<br />

thus, an understanding of the genetic mechanisms under-<br />

lying the flowering event is important for efficient fruit<br />

production. During the last decade, molecular mecha-<br />

nisms of flowering have been studied extensively in<br />

herbaceous ‘‘model’’ plants such as Arabidopsis and<br />

Antirrhinum. In contrast, studies on the molecular<br />

mechanisms of flowering in fruit trees have just begun.<br />

Although, several flowering-related FLO/LFY orthologs<br />

have been cloned from kiwifruit (Actinidia deliciosa)


(Walton et al., 2001), grapevine (Vitis vinifera) (Carmona<br />

et al., 2002), and apple (Malus domestica) (Kotoda et al.,<br />

2002), their specific role in the induction of the<br />

characteristic features of tree reproductive development is<br />

still being elucidated.<br />

Trees are characterized by an extended adolescence.<br />

This is particularly important for commercial fruit/nut tree<br />

growers and breeders, because prolonged juvenile<br />

periods delay harvesting and the evaluation/breeding of<br />

new strains. Chestnut (Castanea mollissima) is one of the<br />

most commercially valuable fruit trees, with production<br />

once only annually. Chestnut has an extended juvenile-<br />

vegetative phase, during which vegetative growth is<br />

maintained. Attempts to exploit existing knowledge of the<br />

genetic control of flower development in Arabidopsis to<br />

engineer nut trees could have significant economic and<br />

scientific implications for the tree fruit industry. As yet, no<br />

studies have reported on the molecular mechanism<br />

underlying the development of chestnut flowers. Recently,<br />

MADS-box genes have been cloned and characterized in<br />

chestnut by us (Liu et al., 2006). Our results suggest that<br />

these chestnut MADS genes may be involved in floral<br />

organ and fruit development in chestnut. In this paper, we<br />

identified a chestnut FLORICAULA/LEAFY homologous<br />

gene involved in floral development. We described the<br />

isolation and characterization of CmLFY (DQ270548).<br />

The function of CmLFY was demonstrated by transgenic<br />

Arabidopsis, as expected for normal plants, transgenic<br />

plants showed earlier flowering phenotype, indicating that<br />

CmLFY may play a similar role of promoting flowering as<br />

the FLORICAULA/LEAFY genes in flower development.<br />

MATERIALS AND METHODS<br />

Plant materials<br />

The chestnut and Arabidopsis ecotype Columbia (Col) were used in<br />

this study. Chestnut examples were collected from Kunming,<br />

Yunnan, People’s Republic of China and were frozen in liquid<br />

nitrogen immediately and stored at -80°C.<br />

RNA extraction and cDNA cloning<br />

Total RNA was extracted from the inflorescences using a modified<br />

CTAB method (Zeng and Yang, 2002). The cDNA was prepared<br />

using Smart cDNA library construction kit (BD Biosciences Clontech,<br />

American). Full-length CmLFY cDNA was obtained by the 5′ and 3′<br />

rapid amplified cDNA ends (RACE) method (Chenchik et al., 1996).<br />

The first amplified chestnut cDNA contained about 440 bp between<br />

primers CmS and CmA, designed from Arabidopsis thaliana LFY<br />

(Weigel et al., 1992) and Antirrhinum majus FLO (Coen et al., 1990)<br />

cDNA sequences. The 3′ RACE was carried out between cassette<br />

CDSIII/3’ primer and CmS2 primer. The DNA fragment amplified<br />

was cloned into PMD18-T vector (Takara, Japan). The 5′ RACE was<br />

carried out between cassette CDSIII/5’ primer and CmA2 primer.<br />

Full-length cDNAs were amplified with the sense primer LFY-ORF5<br />

and antisense primer CDSIII/3’ primer. These clones were sequenced<br />

completely by the dideoxy method using ABI3730 automated<br />

sequencer (ABI Company, USA).<br />

Phylogenetic comparisons<br />

Liu et al. 3979<br />

Protein sequences of different LFY homologs were retrieved from<br />

GenBank and aligned with CLUSTAL. Phylogenetic relationships<br />

among these genes were inferred by NJ analysis (MEGA Ver.3.1).<br />

Plant transformation<br />

The full length CmLFY (including start codon ATG) was amplified<br />

between LFY-ORF5 and LFY-ORF3 (Figure 1). Then, the amplified<br />

cDNA was blunted and KpnI and SalI linkers were ligated both ends,<br />

cloned into a pCambia2301-101 binary vector in a sense-oriented<br />

manner under the CaMV 35S promoter. An Agrobacterium<br />

tumifaciens GV3101 strain (Van-Larebeke et al., 1974) was used for<br />

the transformation of the A. thaliana Columbia ecotype by the<br />

floral-dip method (Clough and Bent, 1998). For the selection of<br />

transformed plants, resultant seeds were planted on a 1/2MS culture<br />

medium containing kanamycin (50 µg mL --1 ) as selective antibiotics<br />

and then, transferred to 22°C under LD conditions (16 h light, 8 h<br />

dark). Transformants were identified as kanamycin-resistant when<br />

seedlings in the medium produced green leaves and well-<br />

established roots. Resistant transformants were transplanted to<br />

moistened potting soil composed of vermiculite and perlite (1:1<br />

(v/v --1 )) after two to four adult leaves had developed and their flower<br />

phenotypes were observed under long-day conditions.<br />

RNA analysis of transgenic plants by RT-PCR<br />

Detection of CmLFY transcripts was performed by RT-PCR. RNA<br />

was isolated from whole plants of Arabidopsis by a method using<br />

CTAB described previously described. CmLFY specific transcripts<br />

were identified using 1 µg of total RNA as a template and the<br />

following primers: a sense primer LFY-ORF5 and an antisense<br />

primer LFY-ORF3 for CmLFY (Table 1), giving rise to about 1300 bp<br />

long PCR product. PCR reactions were run for 35 cycles at 58°C for<br />

CmLFY. The PCR products were run on 1.5% (w/v --1 ) agarose gels<br />

stained with ethidium bromide.<br />

RESULTS<br />

Cloning and sequence analyses of CmLFY<br />

A comparison of Arabidopsis LFY (Weigel et al., 1992)<br />

and Antirrhinum FLO (Coen et al., 1990) showed the<br />

presence of several conserved regions. Two of these<br />

regions, CmS and CmA, were used to design degenerate<br />

oligo- nucleotide primers for RT-PCR. Using these<br />

primers with cDNA prepared from an inflorescence of<br />

chestnut, we obtained a PCR amplified fragment<br />

containing both primers and other conserved sequences.<br />

This fragment was named CmLFY (chestnut<br />

FLORICAULA/LEAFY homologue). To obtain a full-length<br />

CmLFY cDNA, several primers for 5’/3’ RACE were<br />

designed. Primer sites and the nucleotide sequences of<br />

primers used for cloning were shown in Figure 1 and<br />

Table 1, respectively.<br />

The coding region of CmLFY is 1,161 bp, encoding<br />

386 amino acids. The deduced amino acid sequence of<br />

CmLFY cDNA has 78% homology with PEAFLO, 79%<br />

with PtFL and 59.9% with PlaraLFY. NLF, PRFLL, PEAFLO,


3980 Afr. J. Biotechnol.<br />

Table 1. Primer sequences used in PCR cloning of CmLFY.<br />

Primer Oligonucleotide<br />

Primers for an internal fragment<br />

CmS sense primer<br />

CmA antisense primer<br />

Cassette primers<br />

CDSIII/5’ primer<br />

CDSIII/3’ primer<br />

3’ RACE primer<br />

CmS2 primer<br />

5’ RACE primer<br />

CmA2 primer<br />

CmLFY specific primers<br />

LFY-ORF5<br />

LFY-ORF3<br />

5’- GGGAGCACCCGTTCATTGTGACTG -3’<br />

5’-GA/CAGCTTG/TGTG/TGGGACATACCAGAC-3’<br />

5’-AAGCAGTGGTATCAACGCAGAGT-3’<br />

5’-ATTCTAGAGGCCGAGGCGGCCGACATG-3’<br />

5’-CGGCCTTGATTACCTCTTCCATCTC -3’<br />

5’- CACCGCGCTCCTTGGCAATGTTCTGT -3’<br />

5’-GGTACCAAGCTAGCTTCATTGATG -3’<br />

5’-CGGTCGACTAGAAATGCAAATTTTTCTC-3’<br />

Figure 1. Nucleotide and deduced amino sequences (single-letter code) of CmLFY cDNA. The asterisk (*) indicates a stop<br />

codon. Arrows above the sequences indicate the primers used for RACE-PCR.<br />

ELF1 and CmLFY lacked a proline-rich region in<br />

the variable region (roughly the first 40 amino acids). To<br />

more closely determine the evolutionary relationship<br />

between FLO/LFY-like proteins, a phylogenetic tree was<br />

con- structed (Figure 2b). This tree showed that, the<br />

topology of these genes seems to be concordant with the<br />

topology of the species phylogeny and suggests that<br />

CmLFY is an angiosperm ortholog of FLO/LFY-like genes.


a<br />

Liu et al. 3981


3982 Afr. J. Biotechnol.<br />

b<br />

Expression patterns of CmLFY<br />

Figure 2. (a) Sequence comparison of FLO/LFY-like proteins (accession numbers in<br />

parentheses): NLY and PRFLL from P. radiata (U76757 and U92008, respectively); CmLFY<br />

from chestnut (DQ270548); BOFH from B. oleracea (Z18362); FLO from A. majus (M55525);<br />

LFY from A. thaliana (M91208); NFL1 and NFL2 from N. tabacum (U16172 and U16174,<br />

respectively); ALF from P. hvbrida (AF030171); PtFL from P. balsamifera (U93196); RFL from<br />

O. sativa (AB005620); TOFL from L.esculentum (AF197934); PEAFLO from P. sativum<br />

(AF010190); ClLFY from C. glaziovii (AY633622); ELF1 from Eucalyptus globules (AF034806);<br />

JunefLFY from J. effusus (AF160481) and PlaraLFY from P. hispanica (AF106842). Black<br />

boxes indicate identical amino acids, shaded boxes indicate amino acids with similar<br />

properties, and dots indicate gaps introduced to optimize alignment. c1 and c2, conserved<br />

regions; v1 and v2, variable regions; (b) Protein sequence comparisons of CmLFY to other<br />

LFY/FLO homologs. The deduced amino acid sequence of CmLFY was compared with some<br />

published LFY homologs. Box characters represent chestnut protein.<br />

CmLFY mRNA expression was analyzed in various<br />

tissues by RT-PCR. Total RNA was isolated and PCR<br />

primers specific to CmLFY were used to detect the<br />

expression patterns in several tissues. The result showed<br />

that CmLFY mRNA was expressed in inflorescence<br />

tissues, but not in young leaves, fruits and stems (Figure<br />

3). The RT-PCR of CmLFY -specific primers resulted in<br />

amplification of a single band. Increasing the PCR cycle<br />

did not change these expression patterns. The amplified<br />

DNA fragments were the expected length.<br />

Ectopic expression in Arabidopsis<br />

To further verify the function of CmLFY, we constructed a<br />

binary vector pCambia2301-101-CmLFY containing full-<br />

length CmLFY coding area inserted in the sense-oriented<br />

direction under the control of the Cauliflower 35S<br />

promoter. The pCambia2301-101-CmLFY was introduced<br />

into wild- type Arabidopsis plants by<br />

Agrobacterium-mediated transformation. Fourteen<br />

independent transgenic plants that survived on kanamycin<br />

were identified (Table 2). Five (lines one-five) of them<br />

flowered earlier than the wild-type plants by five-seven


Figure 3. Expression pattern of CmLFY gene revealed by RT-PCR<br />

analysis. Lane 1: inflorescences; Lane 2: stem; Lane 3: tender leaves with<br />

no flowers; Lane 4: tender leaves with flowers; Lane 5: fruit. rRNA is used<br />

as RNA standard. Amplification of CmLFY was performed for 30 cycles.<br />

Table 2. Comparison of flowering time, number of rosette leaves in T1 transgenic and wild-type Arabidopsis (Col)<br />

plants in LD conditions.<br />

Transgenic line Days to flowering a Rosette leaves at time of flowering b Note<br />

1 18 4 Early flowering<br />

2 16 3 Early flowering<br />

3 18 4 Early flowering<br />

4 20 5 Early flowering<br />

5 20 4 Early flowering<br />

6 24 7<br />

7 24 8<br />

8 25 9<br />

9 22 8<br />

10 24 8<br />

11 25 8<br />

12 26 9<br />

13 26 10<br />

14 25 8<br />

wt c 25.5 d 9.5 d (n=10) e<br />

v-wt f 26 d 9.5 d (n=8) e<br />

a Days to flowering is defined as the time when flower primordial were first visible to the naked eye; b rosette leaves were<br />

counted on the day that flower primordial were first visible; c w wild-type Arabidopsis Columbia plants; d Mean number; e<br />

Number of plants;<br />

f vector-transformed plants.<br />

days and produced only four to five rosette leaves when<br />

they flowered (Figure 4 and Table 2). Most of the T1<br />

transgenic plants could self-pollinate and grow siliques<br />

normally and the resultant seeds also had the ability to<br />

germinate except for the lines 1, which is so small that it<br />

was difficult to obtain its seeds. The early flowering were<br />

inherited in the next generation and co- segregated with<br />

the kanamycin-resistant genes. The expression of the<br />

CmLFY mRNA in T1 plants was confirmed by RT-PCR, all<br />

putative transformed lines showed the expected products<br />

of CmLFY. No amplifi- cation was observed for the cDNA<br />

prepared from non-transformed Arabidopsis plants and<br />

vector-trans- formed Arabidopsis plants. The transgenic<br />

plants are stably transformed and the siblings which<br />

segregate without the transgene had no amplification of<br />

CmLFY and flowered at the same time as wild-type<br />

plants.<br />

DISCUSSION<br />

Liu et al. 3983<br />

Despite the importance of understanding the regulation of<br />

the flowering process in woody perennials for the<br />

management and improvement of woody species, very<br />

little is known about the underlying molecular<br />

mechanisms. Regulation of flowering in woody perennials<br />

shows remarkable differences in contrast to herbaceous<br />

species, that is, long juvenile phases, bud dormancy and<br />

the alternating vegetative and reproductive development<br />

according to the season.<br />

To investigate the molecular mechanism in chestnut<br />

flowering, we cloned CmLFY, a putative homologue<br />

of Arabidopsis LFY. A comparison (Figure 2a) of amino<br />

acid sequences with Arabidopsis LFY (Weigel et al.,<br />

1992), Antirrhinum FLO (Coen et al., 1990) and other<br />

FLO/LFY homologs (Brassica oleracea. BOFH.


3984 Afr. J. Biotechnol.<br />

Figure 4. Transgenic and wild-type Arabidopsis plants grown under LD<br />

photoperiods for 20 days. Arabidopsis plants were grown in one-half strength of<br />

medium for 9 days and transferred to potting soil. (a) wild-type Arabidopsis<br />

Columbia. (b) Transgenic Arabidopsis carrying a 35S::CmLFY gene.<br />

Anthony et al., 1993; Nicotiana tabacum. NFL. Kelly et al.,<br />

1995; Oraza sativa. RFL. Kyozuka et al., 1998; Pinus<br />

radiata. NLY. Mouradov et al., 1998 ; Petunia hybrida. ALF.<br />

Souer et al., 1998; Eucalyptus globulus, ELF1, Southerton<br />

et al., 1998 ; Lycopersicon esculentum. TOFL.<br />

Molinero-Rosales et al., 1999; Juncus effusus. JunefLFY.<br />

Frohlich and Parker., 2000; Platanus hispanica. PlaraLFY.<br />

Frohlich and Parker., 2000; Populus balsamifera. PTFL.<br />

Rottmann et al., 2000; Cedrela glaziovii. ClLFY. Marcelo<br />

and Adriana, 2006) showed the presence of conserved<br />

regions including two large conserved regions (c1 and c2)<br />

and two shorter regions of lower similarity (variable<br />

regions v1 and v2). These domains are typical markers for<br />

transcriptional acti- vators and may be functionally<br />

important for FLO/LFY-like proteins (Weigel et al., 1992;<br />

Coen et al., 1990). The phylogenetic tree showed that the<br />

topology of these genes seems to be concordant with the<br />

topology of the species phylogeny and suggests that<br />

CmLFY is an angiosperm ortholog of FLO/LFY-like genes<br />

(Figure 2b).<br />

The expression of CmLFY was only found in<br />

inflorescences, but not in tissues such as fruits, stems and<br />

tender leaves (Figure 3). It supports that the CmLFY is a<br />

functional homologous gene of chestnut. In the species<br />

such as apple, kiwifruit and grape, the expression levels<br />

of their FLO/LFY homologs increase in the proliferating<br />

inflorescence meristems generating inflorescence<br />

branches, with the highest levels detected in young floral<br />

meristems (Walton et al., 2001; Carmona et al., 2002).<br />

Therefore, the high levels of CmLFY expression in inflo-<br />

rescence suggests that CmLFY plays a role during chest-<br />

nut reproductive development as it has been suggested<br />

for most FLO/LFY-like genes studied.<br />

To further demonstrate the function of CmLFY, we<br />

have produced transgenic Arabidopsis plants expressing<br />

CmLFY. They flowered earlier and had a shorter<br />

inflorescence and reduced number of rosette leaves<br />

compared with the controls (Figure 3). Based on the result<br />

that several transgenic Arabidopsis with 35S::CmLFY<br />

flowered earlier than the controls, the expression of<br />

CmLFY should have some relationship with the early<br />

flowering phenotypes, although, the mechanism of<br />

flower-bud formation in chestnut might be different from<br />

that in Arabidopsis. Of course, to be more certain that the<br />

CmLFY gene functions similarly to LFY, LFY mutant-<br />

rescue experiments will be required. The CmLFY gene<br />

was not expressed strongly in transformants showing<br />

early flowering relative to those that were wild type in<br />

appearance, which suggests that the severity of pheno-<br />

type in transformants does not depend solely on the level<br />

of gene expression in this case, although the exact cause<br />

is still unknown. Some reports are available that describe<br />

transgenic Arabidopsis plants expressing LFY homologs<br />

from other plant species. For example, Arabidopsis<br />

transgenic lines expressing NEEDLY from Radiata pine<br />

and ELF1 from Eucalyptus showed early flowering<br />

(Mouradov et al., 1998; Southerton et al., 1998). Until now,<br />

however, our ability to manipulate fruit/nut tree strains<br />

through genetics has been limited by the extended<br />

maturation period of these plants. Both taking long time to<br />

flowering and the fact that, no characterized flowering<br />

mutants have been described in this genus make genetic<br />

studies in chestnut more difficult. Nevertheless, advances<br />

in the establishment of transformation protocols for


chestnut may allow us to use reverse genetic approaches<br />

and to define more clearly the role played by CmLFY in<br />

the reproductive development.<br />

The breeding of fruit trees of chestnut often requires<br />

more than 20 years, including periods of cross pollination,<br />

seedling selection and regional trials, to produce varieties<br />

that meet the demands of consumers. One of the limit<br />

factors of chestnut breeding is the long juvenile phase of<br />

at last several years. It had been found that transgenic<br />

approaches of LFY introducing could reduce the juvenile<br />

phase of Populus and the transgenic poplar flowered in 5<br />

months after regeneration (Weigel and Nilsson, 1995).<br />

Therefore, probably we can anticipate that these techni-<br />

ques are likely applicable to fruit trees of chestnut in future<br />

years and believed that, the transgenic approach would<br />

be a useful breeding strategy for reducing the time<br />

required for generation among woody plants. However,<br />

the efficiency of producing early flowering transgenic lines<br />

with Arabidopsis LFY gene seems to be low in woody<br />

plants in some case (Pena et al., 2001). This suggests<br />

that regulatory genes such as LFY do not always function<br />

beyond species as well as expected. Since environmental<br />

and genetic factors controlling flower development in<br />

chestnut have not been made clear so far, the CmLFY<br />

gene could at least, be one of the tools available for<br />

studying the mechanism of flower development in tree<br />

fruits such as the chestnut.<br />

ACKNOWLEDGMENTS<br />

This research was financially supported by the Faculty of<br />

Agronomy and Biotechnology (SJCX09012 to T Liu) and<br />

the National Natural Science Foundation of China (NSFC,<br />

30800062 to XX Li).<br />

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leafy mutants. Planta. 223: 306-314.<br />

Molinero-Rosales N, Jamilena M, Zurita S, Gomez P, Capel J, Lozano R<br />

(1999). FALSIFLORA, the tomato orthologue of FLORICAULA and<br />

LEAFY, controls flowering time and floral meristem identity. Plant J.<br />

20: 685-693.<br />

Mouradov A, Glassick T, Hamdorf B, Murphy L, Fowler B, Marla S,<br />

Teasdale RD (1998). NEEDLY, a pinus radiata ortholog of<br />

FLORICAULA/LEAFY genes, expressed in both reproductive and<br />

vegetative meristems. Proc Natl Acad. Sci. USA, 95: 6537-6542.<br />

Pena L, Martin-Trillo M, Juarez J, Pina JA, Navarro L, Martinea-Zapater<br />

JM (2001). Constitutive expression of arabidopsis LEAFY or<br />

APETALA1 genes in citrus reduces their generation time. Nat<br />

Biotechnol. 19: 263-267.<br />

Pidkowich MS, Klenz JE, Haughn GW (1999). The making of a flower:<br />

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Cheng S, Jouanin L, Pilate G, Strauss SH (2000). Diverse effects of<br />

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Souer E, Krol A, Kloos D, Spelt C, Bliek M, Mol J, Koes R (1998).<br />

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Llewellyn DJ, Peacock WJ, Denhis ES (1998). Eucalyptus has a<br />

functional equivalent of the arabidopsis floral meristem identity gene<br />

LEAFY. Plant Mol Biol. 37: 897-910.<br />

Van-Larebeke N, Engler G, Holsters M, Elsacker S, Zaenen L,<br />

Schilperoort RA, Schell J (1974). Large plasmid in Agrobacterium<br />

tumefaciens essential for crown gall-inducing ability. Nature, 252:<br />

169-170.<br />

Walton EF, Podivinsky E, Wu RM (2001). Bimodal pattern of floral gene<br />

expression over the two seasons that kiwifruit flowers develop. Plant<br />

Physiol. 111: 396-404.<br />

Weigel D, Alvarez J, Smyth DR, Yanofsky MF, Meyerowitz ME (1992).<br />

LEAFY controls floral meristem identity in arabidopsis. Cell, 69:<br />

843-859<br />

Weigel D, Nilsson O (1995). A developmental switch sufficient for flower<br />

initiation in diverse plants. Nature, 37: 495-500.<br />

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polyphenols and polysaccharides. Plant Mol. Biol. Rep. 20:<br />

417a-417e.


African Journal of Biotechnology Vol. 10(20), pp. 4303-4312, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2361<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

Productive performance of laying hens fed wheat-based<br />

diets included olive pulp with or without a commercial<br />

enzyme product<br />

M. Zarei 1 , M. Ehsani 2 and M. Torki 2 *<br />

1 Member of Young Researchers Club of Islamic Azad University, Aligudarz Branch, Iran.<br />

2 Department of Animal Science, Agriculture Faculty, Razi University, Imam Avenue, Kermanshah, Iran.<br />

Accepted 21 March, 2011<br />

Olive pulp (OP) is the remainder of olive cake (the raw material resulting from extraction of olive oil)<br />

after the removal of the seed fractions. It can be achieved by sieving the dry olive cake to separate most<br />

of the seeds. To assess effects of dietary inclusion of OP supplementing with a cocktail commercial<br />

enzyme on performance of laying hens and egg quality characteristics, one hundred and twenty 80week-old<br />

Lohmann LSL-Lite hens, with an average laying rate of 80.3 ± 3.8% (late production phase)<br />

and 1450 ± 14 g live body weight, were divided in 20 cages (n = 6). Hens in 5 cages (replicates) were<br />

randomly assigned to feed on one of the 4 experimental diets. Based on a 2×2 factorial arrangement, 4<br />

iso-caloric and iso-nitrogenous diets (ME =2720 kcal/kg and CP=150 g/kg) including OP (0.0 and 90.0<br />

g/kg) and a commercial cocktail enzyme with mostly xylanase activity (Nutrase®, 0.0 or 0.9 g/kg) were<br />

formulated. To determine blood biochemical parameters and differentiable count of white blood cells,<br />

one hen per replicate was bled via wing vein on day 35 of trial. To determine egg quality parameters, all<br />

eggs during three frequent days were collected on week 4 of trial. Collected data of feed intake (FI), egg<br />

production (EP), egg mass (EM) and calculated feed conversion ratio (FCR), blood biochemical<br />

parameters and egg quality traits during 6 week trial period was analyzed based on completely<br />

randomized design. Hens fed the OP-included diet shown decreased EP compared with hens fed the<br />

control diet during week 3 of experimental period (p ≤ 0.05). There was no significant difference<br />

between hens fed the OP-included diet and the control diet in terms of FI and EM. In addition, the same<br />

trend was observed in terms of enzyme effect on FI and EM. Dietary enzyme supplementation improved<br />

FCR compared with hens fed the control diet during week 6 of the experimental period (p ≤ 0.05).<br />

Including OP in the diets of hens decreased the blood level of triglycerides (p ≤ 0.05). Including OP in<br />

the diets of hens increased the yolk index (p ≤ 0.05). From the results of this investigation, it can be<br />

concluded that including OP in diets of laying hens up to 9% would not have deleterious effects on<br />

bird's productive performance. In addition, dietary supplementation with a cocktail enzyme with mainly<br />

xylanase activity improved FCR in hens.<br />

Key words: Olive pulp, enzyme, laying hens, performance, egg quality characteristics, blood parameters.<br />

INTRODUCTION<br />

The biggest single expense in any system of poultry pro-<br />

duction is feed, accounting for up to 70% of total<br />

*Corresponding author. E-mail: torki@razi.ac.ir. Tel:<br />

00989133277266.<br />

Abbreviations: AME, Available energy; NSP, non-starch<br />

polysaccharides; OP, olive pulp; FI, feed intake; EP, egg<br />

production; EM, egg mass; FCR, feed conversion ratio.<br />

production cost. In order to reduce feeding costs, attempts<br />

have been made to use agricultural and industrial byproducts<br />

as feed ingredients. Improved utilization of crop<br />

residues and by-products to be used in animal feeding<br />

deserves more attention. Examples of crop residues and<br />

agricultural by-products in Iran are; cereal bran, citrus<br />

pulp, tomato pulp, poultry litter and olive pulp (OP). Olive<br />

pulp is the remainder of olive cake (the raw material<br />

resulting from extraction of olive oil) after the removal of<br />

the seed fractions. OP is considered as a good source of


4304 Afr. J. Biotechnol.<br />

calcium, copper and cobalt but poor in phosphorus,<br />

magnesium and sodium and with fair levels of manganese<br />

and zinc (Harb, 1986). Due to low nutritive value<br />

(low in energy, digestible proteins and minerals and high<br />

in lignin), OP is seldom integrated into poultry feeding. In<br />

addition, a xyloglucan, one of the non-starch polysaccharides<br />

(NSP) which has anti-nutritive effects on<br />

monogastrics such as poultry and pigs, from OP has<br />

been reported by Gil-Serrano and Tejero-Mateo (1988).<br />

Coimbra et al. (1995) also showed the occurrence of the<br />

xylan-xyloglucan complexes in the OP cell walls. In<br />

addition, Rosa´rio and Domingues (2002) extracted<br />

glucuronoxylans with a xylose/glucose ratio of 7: 1 from<br />

OP.<br />

Although starch is the predominant carbohydrate in<br />

cereals, some of the constituent carbohydrates are watersoluble<br />

NSP, which are considered the major antinutritive<br />

factors in cereals and other varieties of feed ingredients<br />

(Bedford and Classen, 1992; Campbell and Bedford,<br />

1992). The common NSP include β-glucans, arabinoxylans<br />

and fructans (Classen and Bedford, 1991). The<br />

structures of NSP differ between grains and also between<br />

varieties of the same grain (Annison, 1990). The similarity<br />

between the types of NSP is usually the presence of β (1<br />

→ 4) backbones with or without the presence of β (1 →<br />

3) side linkages (Iji, 1999). The effects of NSP upon feed<br />

utilization and poultry productivity have been discussed in<br />

many reports. Salih et al. (1991) reported that, NSP<br />

reduced feed intake and decreased broiler chicken<br />

performance. The most noticeable effect of NSP in<br />

poultry diets is an increase in the viscosity of digesta and<br />

the excretion of sticky droppings. This is considered to be<br />

one of the greatest influences of NSP on broiler chicken<br />

productivity (Smits and Annison, 1996) and it is<br />

necessary to use exogenous enzymes to overcome these<br />

problems.<br />

Poultry naturally produces enzymes to aid the digestion<br />

of feed nutrients. However, they do not have enzyme to<br />

break down fiber completely and need exogenous enzymes<br />

in feed to aid digestion. Enzymes are used mainly to<br />

achieve consistency in performance and to reduce<br />

formulation costs by easing constraints on the inclusion<br />

level of some ingredients, such as wheat and barley.<br />

Hence, the supplementation of microbial enzymes in<br />

poultry diets is now common practice in many countries<br />

where the predominant cereals are wheat or barley.<br />

Improving poultry performance by dietary manipulation<br />

has been the goal of nutritionists. Enzyme has been<br />

reported to alleviate the negative effects of arabinoxylans,<br />

present in wheat as the dominant cell-wall constituent,<br />

by lowering gut viscosity and increasing protein,<br />

fat and starch digestibility (Bedford and Morgan, 1996).<br />

Moreover, an improvement in overall protein digestibility<br />

of dietary components other than wheat, such as soybean,<br />

has also been reported (Bedford and Morgan,<br />

1996). Pan et al. (1998) demonstrated that, commercial<br />

enzyme mixtures could promote metabolizable energy<br />

particularly utilized in wheat based rations. Many years of<br />

intensive research, both in official trials as well as in field<br />

trials, have shown that its bacterial origin gives it some<br />

very distinctive and valuable characte-ristics, distinguishing<br />

it clearly from xylanase. It reaches its highest<br />

efficiency in rations with a high inclusion of wheat and<br />

wheat by-products. Many years of practical experience<br />

have shown that, it also has an important effect on<br />

improving the digestibility of other grains, such as barley,<br />

corn, rice, rye and sorghum. Improved starch digestibility,<br />

for instance, has been reported to account for up to 35%<br />

of the improvement in available energy (AME) as a result<br />

of xylanase supplementation (Carre et al., 1992).<br />

Xylanase has been reported to alleviate the negative<br />

effects of arabinoxylans, present in wheat as the<br />

dominant cell-wall constituent, by lowering gut viscosity<br />

and increasing protein, fat and starch digestibility<br />

(Bedford and Morgan, 1996).<br />

The objectives of this study were to investigate the<br />

effects of dietary inclusion of OP and enzyme supplementation<br />

on performance of the laying hens fed with<br />

wheat-based diets.<br />

MATERALS AND METHODS<br />

All procedures used in this six-week experiment were approved by<br />

the Animal Ethics Committee of Razi University and complied with<br />

the “Guidelines for the Care and Use of Animals in Research". A<br />

total number of one hundred and twenty 80-week-old Lohmann<br />

LSL-Lite hens with an average egg production rate of 80.3 ± 3.8%<br />

(late laying phase) and 1450 ± 14 g live body weight, were obtained<br />

from a commercial supplier. After a week of adaptation, the hens<br />

were randomly allocated to one of four experimental diets. Hens<br />

were semi-randomly distributed between 20 cages (n=6) with<br />

almost same average body weight and egg production throughout<br />

the cages. The hen distribution was based on the previous production<br />

records of birds during one month before selecting them<br />

from their original flock and transferring to the experimental cages.<br />

Hens in 5 cages (replicates) were assigned to feed on one the 4<br />

experimental diets. Four iso-caloric and iso-nitrogenous diets (ME<br />

=2720 kcal/kg and CP=150 g/kg) including OP (0.0 and 90.0 g/kg)<br />

and a commercial cocktail enzyme with mostly xylanase activity<br />

(Nutrase ® , 0.0 or 0.9 g/kg) were formulated (Table 1).<br />

The approximate analysis of the OP used in this study is; dry<br />

matter (DM=93%), crude protein (CP= 6.06%), ether extract (EE%=<br />

7.6%), crude fiber (CF%= 48.2), ash (7.4%), calcium (Ca%=0.6)<br />

and total phosphorous (P%= 0.07). Fatty acid composition (%) of<br />

oils from OP used in this study is; total saturated fatty acids (∑SFA=<br />

15.01%), total monounsaturated fatty acids (∑MUFA= 71.38%) and<br />

total polyunsaturated fatty acids (∑PUFA= 9.10%). Nutrase® xyla is<br />

a bacterial endo-1,4-beta-xylanase, designed for use in pig and<br />

poultry rations with a high content of arabinoxylans. Nutrase® xyla<br />

is produced by Bacillus subtilis, which makes it today, the only EU<br />

registered bacterial xylanase preparation available on the market.<br />

The hens were housed in laying cages made from galvanized<br />

metal wire which provided approximately 430 cm 2 /hen. The cages<br />

were located in a windowless and environmentally controlled room<br />

with the room temperature kept at 21-23°C and the photoperiod set<br />

at 16 h of light (incandescent lighting, 10 lux) and 8 h dark. Each<br />

cage had a nipple waterier. Water was available ad libitum throughout<br />

the experiment. Feed consumption was measured on a weekly<br />

basis. To determine blood biochemical parameters and differentiable


Table 1. Ingredients and composition of the experimental diets.<br />

Olive pulp (g /100 g) 0.0 9.0<br />

Enzyme (g /100 g) 0.00 0.09 0.00 0.09<br />

Feed ingredients g / 100 g diet<br />

Wheat 62.78 62.78 58.06 58.07<br />

Fish meal 5.00 5.00 5.00 5.00<br />

Soybean meal 8.80 8.80 8.78 8.78<br />

Dried tomato pomace 3.50 3.50 3.50 3.50<br />

Oil 5.03 5.03 5.03 5.03<br />

Olive pulp 0.00 0.00 9.00 9.00<br />

Enzyme - Nutrease® 0.00 0.09 0.00 0.09<br />

Dicalcium phosphate 1.64 1.64 1.64 1.64<br />

Limestone 8.07 8.07 8.07 8.07<br />

Common salt 0.16 0.16 0.17 0.17<br />

Vit. and Min. Premix 1 0.25 0.25 0.25 0.25<br />

Sand 4.38 4.29 0.10 0.00<br />

DL-Methionine 0.15 0.15 0.15 0.15<br />

Calculated analyses<br />

ME (Kcal/kg) 2720 2720 2720 2720<br />

Crude protein (%) 15 15 15 15<br />

Ether extract (%) 6.65 6.65 6.65 6.65<br />

Crude fiber (%) 4.37 4.37 4.37 4.37<br />

Calcium (%) 3.67 3.67 3.67 3.67<br />

Available P (%) 0.33 0.33 0.33 0.33<br />

Lys (%) 0.68 0.68 0.68 0.68<br />

Met (%) 0.38 0.38 0.38 0.38<br />

Met and Cys (%) 0.61 0.61 0.61 0.61<br />

1 The vitamin and mineral premix provide the following quantities per kilogram of diet:<br />

Vitamin A, 10,000 IU (all-trans-retinal); cholecalciferol, 2,000 IU; vitamin E, 20 IU (αtocopheryl);<br />

vitamin K3, 3.0 mg; riboflavin, 18.0 mg; niacin, 50 mg; D-calcium<br />

pantothenic acid, 24 mg; choline chloride, 450 mg; vitamin B12, 0.02 mg; folic acid, 3.0<br />

mg; manganese, 110 mg; zinc, 100 mg; iron, 60 mg; copper, 10 mg; iodine, 100 mg;<br />

selenium, 0.2 mg; antioxidant, 250 mg.<br />

count of white blood cells, one hen per replicate was bled via wing<br />

vein on day 35 of trial. To determine egg quality parameters, all<br />

eggs during three frequent days were used. Collected data of feed<br />

intake (FI), egg production (EP), egg mass (EM) and calculated<br />

feed conversion ratio (FCR) during 6 week trial period was analyzed<br />

based on a 2×2 factorial arrangement of treatments and completely<br />

randomized design using GLM procedure of SAS. All statements of<br />

significance are based a probability of less than 0.05. The mean<br />

values were compared by Duncan’s multiple range test.<br />

RESULTS AND DISCUSSION<br />

Effects of dietary OP inclusion and enzyme supplementation<br />

on EP, FI, FCR, EW and EM are presented in<br />

Tables 2 to 6, respectively. There was no significant<br />

interaction between dietary OP inclusion and enzyme<br />

supplementation on the measured productive performance<br />

parameters throughout the experimental period (p<br />

> 0.05). Egg production (%) was not significantly affected<br />

by dietary OP inclusion (p > 0.05), except for week 3 of<br />

Zarei et al. 4305<br />

trial period. Hens fed with the OP-included diet shown<br />

decreased EP compared with hens fed with the control<br />

diet during week 3 of experimental period (p ≤ 0.05); but<br />

the overall EP during the whole trail period (weeks 1 to 6)<br />

was not significantly affected. There was no significant<br />

difference between hens fed with OP-included diet and<br />

the control diet in terms of FI (Table 3) and EM (Table 6).<br />

In addition, the same trend was observed in terms of<br />

enzyme effect on FI and EM. Feed conversion ratio was<br />

not significantly affected by dietary OP inclusion (p ><br />

0.05). Including OP in diet improved EW on weeks 4 and<br />

6 as well as the overall trial period (weeks 1 to 6). Studies<br />

concerning feeding with OP to monogastrics are limited<br />

(Tortuero et al., 1989). Several research studies were<br />

conducted to investigate the feasibility of utilizing OP in<br />

broiler rations. The proportion of OP in its rations is<br />

variable. There seems to be a limit between 50 and 100g/<br />

kg (Abo Omar, 2000; Rabayaa, 2000). Diets with different<br />

levels of fiber showed certain influence on gastro-


4306 Afr. J. Biotechnol.<br />

Table 2. Effect of dietary inclusion of olive pulp (0 and 90 g/kg) and enzyme (0 and 0.9 g/kg) on egg production (%) of laying hens.<br />

Treatment<br />

Enzyme (g /100 g)<br />

Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Weeks 1 to 6<br />

0.00 67.85 75.71 79.28 84.04 86.42 83.80 79.52<br />

0.09 70.47 72.61 79.52 85.71 86.43 88.33 80.51<br />

Olive pulp (g /100 g)<br />

0.00 71.42 76.42 84.28 a 85.95 87.14 85.47 81.78<br />

9.00 66.90 71.90 74.52 b 83.81 85.71 86.66 78.25<br />

Olive pulp Enzyme<br />

0.00 0.00 69.52 75.71 83.81 84.76 86.66 82.85 80.55<br />

0.00 0.09 73.33 77.14 84.76 87.14 87.62 88.09 83.01<br />

9.00 0.00 66.19 75.71 74.76 83.33 86.19 84.76 78.49<br />

9.00 0.09 67.61 68.09 74.28 84.28 85.24 88.57 78.01<br />

SEM 5.83 5.36 3.84 3.32 3.16 2.26 3.09<br />

CV 19.91 17.06 11.41 9.24 8.64 6.21 9.14<br />

Source of variation Probability<br />

Enzyme 0.676 0.591 0.954 0.641 0.999 0.076 0.765<br />

Olive pulp 0.473 0.435 0.028 0.549 0.674 0.625 0.296<br />

Enzyme × Olive pulp 0.849 0.435 0.862 0.841 0.779 0.770 0.659<br />

a-b Means within a column (within main effects) with no common superscript differ significantly (p < 0.05); SEM= standard error of means.<br />

Table 3. Effect of dietary inclusion of olive pulp (0 and 90 g/kg) and enzyme (0 and 0.9 g/kg) on feed intake (FI, g/ hen/ day) of<br />

laying hens.<br />

Treatment<br />

Feed intake (g/ hen/ day)<br />

Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Weeks 1 to 6<br />

Enzyme (g /100 g)<br />

0.00 105.66 116.55 117.72 118.22 116.89 118.13 115.53<br />

0.09 111.25 109.91 113.57 112.79 114.14 115.40 112.84<br />

Olive pulp (g /100 g)<br />

0.00 110.78 114.97 117.16 114.92 114.49 116.32 114.77<br />

9.00 106.13 111.49 114.13 116.09 116.54 117.21 113.60<br />

Olive pulp Enzyme<br />

0.00 0.00 109.95 116.88 119.14 116.45 114.81 117.19 115.74<br />

0.00 0.09 111.62 113.07 115.19 113.40 114.16 115.45 113.81<br />

9.00 0.00 101.38 116.23 116.30 120.00 118.97 119.07 115.33<br />

9.00 0.09 110.88 106.76 111.95 112.19 114.12 115.35 111.87<br />

SEM 4.18 4.00 2.96 2.52 3.30 1.61 2.29<br />

CV 9.11 8.34 6.05 5.16 4.71 3.26 4.75<br />

Source of variation Probability<br />

Enzyme 0.224 0.135 0.203 0.058 0.275 0.128 0.284<br />

Olive pulp 0.307 0.422 0.346 0.667 0.410 0.606 0.634<br />

Enzyme × Olive pulp 0.388 0.511 0.949 0.385 0.400 0.569 0.756<br />

SEM, Standard error of means.


Zarei et al. 4307<br />

Table 4. Effect of dietary inclusion of olive pulp (0 and 90 g/kg) and enzyme (0 and 0.9 g/kg) on feed conversion ratio (FCR: g feed:<br />

g egg) of laying hens.<br />

Treatment<br />

Enzyme (g /100 g)<br />

Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Weeks 1 to 6<br />

0.00 2.58 2.49 2.39 2.24 2.16 2.26 a 2.35<br />

0.09 2.57 2.48 2.30 2.12 2.14 2.11 b 2.29<br />

Olive pulp (g /100 g)<br />

0.00 2.57 2.47 2.25 2.16 2.14 2.21 2.30<br />

9.00 2.59 2.51 2.44 2.20 2.17 2.15 2.34<br />

Olive pulp Enzyme<br />

0.00 0.00 2.64 2.53 2.31 2.20 2.15 2.31 2.36<br />

0.00 0.09 2.49 2.40 2.18 2.11 2.12 2.12 2.24<br />

9.00 0.00 2.50 2.45 2.46 2.27 2.18 2.21 2.34<br />

9.00 0.09 2.68 2.56 2.42 2.13 2.16 2.10 2.34<br />

SEM 0.16 0.13 0.10 0.08 0.07 0.06 0.07<br />

CV 14.68 12.74 10.23 9.15 8.73 6.57 7.46<br />

Source of variation Probability<br />

Enzyme 0.944 0.950 0.419 0.213 0.770 0.035 0.451<br />

Olive pulp 0.907 0.776 0.094 0.629 0.717 0.380 0.596<br />

Enzyme × Olive pulp 0.353 0.414 0.680 0.775 0.934 0.562 0.466<br />

SEM, Standard error of means.<br />

intestinal tract weight, length and content (Abo Omar et<br />

al., 1994; Abo Omar, 1995). The different levels of olive<br />

cake had no effect on carcass cuts of broilers carcass<br />

when fed with OP at levels up to 100 g/kg (Abo Omar and<br />

Gavoret, 1995). Rabayaa et al. (2001) who incorporated<br />

OP in four of the experimental groups at rates of 2.5, 5,<br />

7.5 and 10% in both starter and finisher feeds to replace<br />

similar rates of yellow corn reported that weight gain of<br />

chicks was the same in chicks consuming up to 7.5% of<br />

OP. However, weight gain of chicks fed the level of 10%<br />

OP had the lowest significant weight gain. In addition,<br />

similar trends were observed in chicks for F and feed<br />

conversion efficiency.<br />

Dietary enzyme supplementation improved FCR compared<br />

with hens fed with control diet during week 6 of the<br />

experimental period (p ≤ 0.05). Although enzyme addition<br />

decreased FCR during the whole trail period, this effect<br />

was significant only on week 6 (Table 4). Enzyme<br />

supplementation did not have significant effect on EW<br />

(Table 5). Xylans are the principal NSP of wheat and high<br />

levels of wheat in poultry diets can increase the viscosity<br />

of the gut contents, which impedes the circulation and<br />

absorption of nutrients, causing reduced feed intake, BW<br />

gain and feed efficiency (Annison and Choct, 1991).<br />

Chickens do not produce some enzymes, such as galactosidases<br />

(xylanase/β-glucanase); thus, corn-soybean-<br />

based diets without supplemented enzymes such as xylanases<br />

and pectinases might result in gas accumulation in<br />

the gut and diarrhea (Jaroni et al., 1999a; Wu et al.,<br />

2005). The endosperm cell wall of wheat is mainly composed<br />

of arabinoxylans. The addition of exogenous<br />

enzymes to wheat-based diets increases digestibility of<br />

nutrients in cockerels (Carré et al., 1990). It may also<br />

provide additional dietary energy as well as short chain<br />

fatty acids and oligosaccahrides (Iji, 1999). Such phenomena<br />

are associated with cellular proliferation and<br />

improved gut health (Iji, 1999). Xylanase is used<br />

extensively in wheat-based diets to counteract the effects<br />

of NSP in broiler (Bedford and Schulze, 1998). In addition,<br />

xylanase has been used in combination with other<br />

enzyme(s) (xylanase-based cocktail enzyme) in layer<br />

diets containing wheat or wheat and barley (Brenes et al.,<br />

1993; Pan et al., 1998; Scott et al., 1999, Francesch et<br />

al., 1995; Oloffs et al., 1998; Salobir, 1998; Jaroni et al.,<br />

1999a,b; Mathlouthi et al., 2002) and broiler diets<br />

(Bedford and Schulze, 1998) to counteract the effects of<br />

NSP; however, the results obtained with different experimental<br />

conditions and diets have been inconclusive. The<br />

degree of improvement obtained by adding enzymes to<br />

the diet depends on many factors including the level of<br />

antinutritive factor in the diet, the spectrum and concentration<br />

of enzymes used, the type of animal and the


4308 Afr. J. Biotechnol.<br />

Table 5. Effect of dietary inclusion of olive pulp (0 and 90 g/kg) and enzyme (0 and 0.9 g/kg) on average egg weight (g).<br />

Treatment<br />

Enzyme (g /100 g)<br />

Week 1 Week 2 Week 3<br />

Egg weight (g)<br />

Week 4 Week 5 Week 6 Weeks 1 to 6<br />

0.00 62.29 62.80 63.07 62.77 62.81 42.53 59.38<br />

0.09 61.96 61.93 62.34 62.15 61.85 42.19 58.74<br />

Olive pulp (g /100 g)<br />

0.00 61.80 61.86 62.25 61.89 b 61.72 41.40 b 58.48 b<br />

9.00 62.46 62.87 63.16 63.03 a 62.94 43.32 a 59.63 a<br />

Olive pulp Enzyme<br />

0.00 0.00 61.95 62.05 62.10 62.00 61.90 41.37 58.56<br />

0.00 0.09 61.64 61.66 62.39 61.78 61.54 41.43 58.41<br />

9.00 0.00 62.63 63.54 64.04 63.55 63.73 43.69 60.19<br />

9.00 0.09 62.28 62.21 62.29 62.52 62.16 42.95 59.07<br />

SEM 0.61 0.68 0.71 0.51 0.72 0.32 0.52<br />

CV 2.35 2.58 2.67 1.93 2.75 1.83 2.07<br />

Source of variation Probability<br />

Enzyme 0.620 0.249 0.344 0.266 0.226 0.345 0.260<br />

Olive pulp 0.326 0.176 0.240 0.050 0.130 0.045 0.049<br />

Enzyme × Olive pulp 0.976 0.525 0.194 0.465 0.442 0.266 0.390<br />

SEM, Standard error of means.<br />

age of the animal (young animals tend to respond better<br />

to enzymes than older animals), type of gut micro flora<br />

present and the physiology of the bird. Older birds,<br />

because of the enhanced fermentation capacity of the<br />

micro flora in their intestines, have a greater capacity to<br />

deal with negative viscosity effects (Choct et al., 1995).<br />

Typically, enzymes added to layer feed appear to have<br />

little effect on egg mass but improve feed efficiency<br />

(Benabdeljelil and Arbaoui, 1994). Mathlouthi et al.<br />

(2002) who determined the effects of xylanase on true<br />

metabolizable energy values of wheat, barley and wheat<br />

bran as well as performance of laying hens fed with<br />

wheat-, barley- or wheat bran-based diets reported<br />

improved egg mass of layers fed with wheat- or wheat<br />

bran-based diets supplemented by xylanase. In addition,<br />

xylanase supplementation improved egg production, egg<br />

mass and feed conversion ratio of layers fed with low<br />

energy diet. It did improve the feed conversion ratio of<br />

layers fed with high-energy diet. Xylanase increased the<br />

TME values for wheat and barley and did not affect the<br />

TME value of wheat bran (Mathlouthi et al., 2002).<br />

Senkoylu et al. (2009) who investigated the effects of<br />

30% whole-wheat inclusion in a standard layer diet<br />

supplemented with xylanase, on laying performance,<br />

digestive organs and ileal mucosa development and<br />

reported that xylanase supplementation to whole wheat<br />

significantly improved egg production and feed<br />

conversion rate compared with the ground wheat and<br />

whole wheat fed groups. Pirgozliev et al. (2010) who examined<br />

the effect of dietary xylanase on the availability of<br />

nutrients for laying hens when fed on wheat-rye-soybased<br />

diets and reported that, the AME and nitrogen<br />

metabolisability coefficients of xylanase-supplemented<br />

diets were greater than the control diet. In addition, they<br />

reported supplementary xylanase significantly improved<br />

the coefficients of metabolisability of indispensable, dispensable<br />

and total amino acids. Their data suggested<br />

that, the use of a xylanase might improve the metabolisability<br />

of some nutrients, but that such effects might<br />

not always benefit production parameters. Feed intake<br />

and feed conversion ratio for egg production were not<br />

affected by xylanase (Pirgozliev et al., 2010). Diet<br />

supplementation with an enzyme cocktail providing 7 U/g<br />

of α-1, 6-galactosidase and 22 U/g of β-1, 4-mannanase<br />

significantly improved feed conversion of Lohmann<br />

Brown-Lite laying hens (Han et al., 2010).<br />

As it is shown in Table 7, among the blood biochemical<br />

parameters (cholesterol, high density lipoprotein, low<br />

density lipoprotein and triglycerides), only blood level of<br />

triglycerides was affected by dietary OP inclusion.<br />

Including OP in the diets of hens decreased the blood<br />

level of triglycerides (p ≤ 0.05); however, there was no<br />

significant difference between blood levels of cholesterol,<br />

high density lipoprotein and low density lipoprotein in


Zarei et al. 4309<br />

Table 6. Effect of dietary inclusion of olive pulp (0 and 90 g/kg) and enzyme (0 and 0.9 g/kg) on egg mass (g/ hen/ day) of laying<br />

hens.<br />

Treatment<br />

Egg mass (g/ hen/ day)<br />

Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Weeks 1 to 6<br />

Enzyme (g /100 g)<br />

0.00 42.17 47.60 49.99 53.01 54.29 52.43 49.92<br />

0.09 43.59 44.92 49.64 53.33 53.42 54.72 49.94<br />

Olive pulp (g /100 g)<br />

0.00 43.98 47.27 52.51 53.47 53.80 52.70 50.62<br />

9.00 41.78 45.26 47.13 52.86 53.91 54.46 49.23<br />

Olive pulp Enzyme<br />

0.00 0.00 42.97 47.07 52.11 53.04 53.64 50.90 49.96<br />

0.00 0.09 45.00 47.47 52.90 53.90 53.97 54.50 51.29<br />

9.00 0.00 41.38 48.14 47.88 52.97 54.95 53.97 49.88<br />

9.00 0.09 42.19 42.38 46.38 52.76 52.88 54.95 48.59<br />

SEM 3.52 3.54 2.53 2.09 2.04 1.41 2.02<br />

CV 19.39 18.04 11.98 9.07 8.93 6.19 9.53<br />

Source of variation Probability<br />

Enzyme 0.708 0.483 0.895 0.883 0.691 0.142 0.992<br />

Olive pulp 0.562 0.597 0.061 0.781 0.961 0.252 0.522<br />

Enzyme × Olive pulp 0.872 0.420 0.674 0.806 0.584 0.391 0.545<br />

Table 7. Effect of dietary inclusion of olive pulp (0 and 90 g/kg) and enzyme (0 and 0.9 g/kg) on serum<br />

biochemical parameters (Cholesterol, High density lipoprotein, Low density lipoprotein and<br />

Triglycerides) of laying hens.<br />

Blood biochemical parameters<br />

Treatment CHOL 1 Enzyme<br />

(mg/dl) HDL (mg/dl) LDL (mg/dl) TG (mg/dl)<br />

0.00 144.63 59.875 61.25 1463.9<br />

0.09 137.88 66.125 58.37 1270.9<br />

Olive pulp<br />

0.00 156.75 62.62 64.00 1749.9 a<br />

9.00 125.75 63.37 55.62 984.9 b<br />

SEM 21.44 8.36 8.28 346.82<br />

CV 30.36 26.55 27.67 50.73<br />

Source of variation Probability<br />

Enzyme 0.758 0.469 0.734 0.588<br />

Olive pulp 0.173 0.930 0.331 0.047<br />

Enzyme<br />

pulp<br />

× Olive 0.810 0.815 0.964 0.776<br />

1-Cholesterol, triglycerides, high density lipoprotein, low density lipoprotein; a-b means within a column<br />

(within main effects) with no common superscript differ significantly (p < 0.05). SEM= Standard error of<br />

means.


4310 Afr. J. Biotechnol.<br />

Table 8. Effect of dietary inclusion of guar meal (0, 25 and 50 g/kg) and enzyme supplementation (0 and 0.4 g/kg) on<br />

differentiable counts of white blood cells (%, heterophil, lymphocyte, monocyte, eosinophil and basophil) of laying hens.<br />

Treatment<br />

Enzyme (g /100 g)<br />

Heterophil<br />

Differentiable counts of white blood cells (%)<br />

Lymphocyte Monocyte Eosinophil Basophil<br />

0.00 28.50 67.37 1.00 0.37 2.75<br />

0.09 25.12 70.87 1.37 0.00 2.62<br />

Olive pulp (g /100 g)<br />

0.00 23.12 72.50 1.25 0.25 2.87<br />

9.00 30.50 65.75 1.12 0.12 2.50<br />

SEM 3.72 3.83 0.48 0.28 1.05<br />

CV 27.72 11.08 81.53 298.14 78.38<br />

Source of variation Probability<br />

Enzyme 0.381 0.378 0.453 0.204 0.907<br />

Olive pulp 0.070 0.103 0.800 0.662 0.728<br />

Enzyme × Olive pulp 0.317 0.216 0.453 0.662 0.563<br />

Table 9. Effect of dietary inclusion of guar meal (0, 25 and 50 g/kg) and enzyme supplementation (0 and 0.4g/kg) on<br />

egg quality (egg index, yolk index, Haugh unit, eggshell weight and eggshell thickness) of laying hens.<br />

Egg quality characteristics<br />

Treatment<br />

Enzyme (g /100 g)<br />

Egg index Yolk index Haugh unit Egg shell weight Egg shell thickness<br />

0.00 74.60 41.83 70.06 6.87 40.00<br />

0.09 74.97 42.03 70.78 6.48 37.40<br />

Olive pulp (g /100 g)<br />

0.00 74.23 40.56 b 68.41 6.53 38.60<br />

9.00 75.34 43.29 a 72.44 6.82 38.80<br />

SEM 1.38 2.39 2.90 0.30 1.78<br />

CV 4.36 5.65 9.73 11.65 10.91<br />

Source of variation Probability<br />

Enzyme 0.798 0.853 0.817 0.281 0.187<br />

Olive pulp 0.455 0.020 0.207 0.423 0.917<br />

Enzyme × Olive pulp 0.946 0.092 0.312 0.612 0.131<br />

a-b Means within a column (within main effects) with no common superscript differ significantly (P < 0.05); SEM, standard<br />

error of means.<br />

hens fed with control and the OP-included diets. There<br />

was no significant effect of enzyme supplementation on<br />

the analyzed blood biochemical parameters (p > 0.05).<br />

Differentiable count of white blood cells was not<br />

significantly affected by dietary OP inclusion and enzyme<br />

supplementation (Table 8). There is no record in the<br />

literature presenting the effects of diet inclusion of OP on<br />

blood biochemical parameters of laying hens.<br />

As it is shown in Table 9, among the egg quality cha-<br />

racteristics (egg index, yolk index, haugh unit, eggshell<br />

weight and eggshell thickness); only yolk index was<br />

affected by dietary OP inclusion. Including OP in the diets<br />

of hens increased the yolk index (p ≤ 0.05); however,<br />

there was no significant difference between the other egg<br />

quality traits in hens fed with control and the OP-included<br />

diets. There was no significant effect of enzyme supplementation<br />

on the analyzed egg quality characteristics (p ><br />

0.05). Gunawardana et al. (2009) evaluated the effects of


Rovabio (a natural mixture of enzymes produced by the<br />

organism Penicillium funiculosum), dietary energy and<br />

protein on performance, egg composition, egg solids and<br />

egg quality of commercial Leghorns in phase 2 and reported<br />

dietary protein significantly increased feed<br />

consumption but decreased yolk color. As dietary energy<br />

increased, feed consumption decreased and yolk color<br />

increased. They also found a significant interaction<br />

among dietary protein, energy and Rovabio on egg<br />

production, BW, egg mass, feed conversion and yolk<br />

solids. Egg weight of hens fed with diets supplemented<br />

with enzyme was significantly greater than that of hens<br />

fed with diets without enzyme during weeks 3 and 4.<br />

However, enzyme did not significantly influence average<br />

egg weight (Gunawardana et al., 2009). In the research<br />

study by Pirgozliev et al. (2010) the yolk color of the birds<br />

receiving xylanase was darker than the yolk of the birds<br />

given the control diet. In addition, birds receiving<br />

xylanase had a significantly higher weight gain than those<br />

fed on the unsupplemented diet. Dirty and cracked eggs<br />

in their study were not affected by xylanase (Pirgozliev et<br />

al., 2010). The improvement in feed conversion for<br />

Lohmann Brown-Lite laying hens fed with enzyme<br />

cocktail (providing 7 U/g of α-1, 6-galactosidase and 22<br />

U/g of β-1, 4-mannanase) supplemented diet was accompanied<br />

by an increase in albumen weight and percentage<br />

and a decrease in the percentage of yolk and the ratio of<br />

yolk to albumin in the eggs (Han et al., 2010).<br />

Conclusions<br />

In conclusion, OP can be inserted in laying hens diets up<br />

to 9% with no adverse effect on bird's performance.<br />

Dietary inclusion of OP would have beneficial effect on<br />

laying hens' performance in terms of egg weight, yolk<br />

index and blood level of triglycerides. In this investigation,<br />

dietary supplementation with a cocktail enzyme with<br />

mainly xylanase activity improved FCR in hens.<br />

Acknowledgment<br />

Appreciation is expressed to Research Sector of Islamic<br />

Azad University, Aligudarz Branch, Iran, for financial<br />

support of this research.<br />

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availability. Poult. Sci. 77: 83-89. PMID: 9469756.<br />

Rabayaa EA (2000). Feeding different levels of olive pulp to broiler<br />

chicks. Master Thesis. An Najah National University. Nablus,<br />

Palestine.<br />

Rabayaa E, Abo Omar JM, Othman RA (2001). Utilization of olive pulp<br />

in broiler rations. An-Najah Univ. J. Res. 15: 134-144.<br />

Salobir J (1998). Effect of xylanase alone and in combination with βglucanase<br />

on energy utilization, nutrient utilization and intestinal<br />

viscosity of broilers fed diets based on two wheat samples. Arch.<br />

Geflügelk. 62: 209-213.<br />

Salih ME, Classen HL, Campbell GL (1991). Response of chickens feed<br />

on hull-less barley to dietary β-glucanase at different ages. Anim.<br />

Feed Sci. Technol. 33: 139-149.<br />

Smits CHM, Annison G (1996). Non-starch polysaccharides in broiler<br />

nutrition: towards a physiological valid approach to their<br />

determination. Wolrd’s Poult. Sci. J. 52: 203-221.<br />

Pirgozliev V, Bedford MR, Acamovic T (2010). Effect of dietary xylanase<br />

on energy, amino acid and mineral metabolism, and egg production<br />

and quality in laying hens. Br. Poult. Sci. 51(5): 639-647.<br />

Rosa´rio M, Domingues M (2002). Structural characterisation of<br />

underivatised olive pulp xylo-oligosaccharides by mass spectrometry<br />

using matrix-assisted laser desorption/ionisation and electrospray<br />

ionization. Rapid. Commun. Mass Spectrom. 16: 2124-2132.<br />

Scott TA, Silversides FG, Tietge D, Swift ML (1999). Effect of feed form,<br />

formulation, and restriction on the performance of laying hens. Can.<br />

J. Anim. Sci. 79: 171-178. doi: 10.4141/A98-077.<br />

Senkoylu N, Samli HE, Akyurek H, Okur AA, Kanter M (2009). Effects of<br />

whole wheat with or without xylanase supplementation on<br />

performance of layers and digestive organ development. Ital. J. Anim.<br />

Sci. 8: 155-163.<br />

Tortuero F, Riopérez J, Luisa Rodríguez M (1989). Nutritional value for<br />

rabbits of olive pulp and the effects on their visceral organs, Anim.<br />

Feed Sci. Technol. 25: 79-87. doi:10.1016/0377-8401(89)90109-0.<br />

Wu G, Bryant MM, Voitle RA, Roland Sr DA (2005). Effect of βmannanase<br />

in corn-soy diets on commercial Leghorns in second<br />

cycle hens. Poult. Sci. 84: 894-897.


African Journal of Biotechnology Vol. 10(20), pp. 4313-4317, 16 May, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.1883<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length Research Paper<br />

An investigation on natural radioactivity from mining<br />

industry #<br />

E. Esmeray* and M. E. Aydin<br />

Selcuk University, Environmental Engineering Department, Konya, Turkey.<br />

Accepted 25 March, 2011<br />

The environmental problem of naturally occurring radioactive materials (NORM) is omnipresent on<br />

earth and their radioactivity may become concentrated as a result of human activities. Various<br />

industries produce concentrated radioactivity in their by-products. Mining originating industries such<br />

as the coal industries, petroleum extraction and processing and natural gas, mining enrichment waste,<br />

phosphate, etc have been well known and widely investigated. The Environmental Protection Agency<br />

(EPA) describes NORM wastes from the mining and processing of three categories of metals: Rare<br />

earth metals, special application metals and metals produced in bulk quantities by industrial extraction<br />

processes. Moreover, NORM has a lot of negative effects on the natural resources (water supplies,<br />

soils, air, etc.) and living organisms (human, animals, plants, microorganisms, etc.). In this study, we<br />

investigated NORM levels that originated from mining industry and the concentration of NORM in<br />

drinking water supplies. NORM parameter of gross alpha and gross beta were also in this study,<br />

seasonal changes in gross alpha and gross beta were investigated. The obtained results showed that,<br />

natural activity concentrations of α- and β-emitting radionuclides in all water samples did not exceed<br />

World Health Organisation (WHO) and Turkish Standards of Drinking Water (TS 266) recommended<br />

levels (Table 1). Concentrations ranging from 0.0062 Bq/l to 0.79 Bq/l and from 0.004 to 0.18 Bq/l were<br />

observed for the gross α and gross β activities, respectively. For all samples, the gross β activities were<br />

higher than the corresponding gross α activities.<br />

Key words: Natural radioactivity, mining industries, gross alpha, gross beta.<br />

INTRODUCTION<br />

Radiation of natural origin at the earth’s surface consists<br />

of two components namely cosmic rays and radiation<br />

from the radioactive nuclides in the earth’s crust. The<br />

latter component is the terrestrial radiation, which mainly<br />

originates from the so-called primordial radioactive<br />

nuclides that were made in the early stage of the formation<br />

of the solar system. Uranium, thorium and potassium<br />

are, however, the main elements contributing to natural<br />

terrestrial radioactivity (UNSCEAR, 2000).<br />

Naturally-occurring radioactive material (NORM) is the<br />

*Corresponding author. E-mail: eesmeray@selcuk.edu.tr. Tel:<br />

+90-332-2232080, +90-542-5629808.<br />

#This study has been presented as poster at the VIth<br />

International Conference of Modern Management of Mine<br />

Producing, Geology and Environmental Protection (SGEM),<br />

Albena-Varna, Bulgaria, 12-16 June 2006.<br />

term used to describe materials that contain radionuclides<br />

that exist in the natural environment. Long-lived<br />

radioactive elements of interest include uranium, thorium<br />

and potassium and any of their radioactive decay<br />

products, such as radium and radon. These elements<br />

have always been present in the earth’s crust and within<br />

the tissues of all living species. Studies of terrestrial<br />

natural radiation are of great importance for various<br />

reasons. They serve as useful tracers for atmospheric<br />

variation studies. It is usually realized that natural environmental<br />

radiation mainly depends on geological and<br />

geographical conditions. Also, an understanding of<br />

natural radioactivity was used to determine the age of the<br />

earth using the radioactive decay of 238 U to 206 Pb and<br />

235 U to 207 Pb. Each isotope has, however, a unique decay<br />

rate so that the ratio of the number of daughter atoms to<br />

parent isotopes in rocks and minerals depends on the<br />

time which has elapsed since the system became closed<br />

(Jamal, 2002). Many of the mining and processing


4314 Afr. J. Biotechnol.<br />

Figure 1. A map of the study area and location of the sampling points.<br />

(physical, chemical and termal): uranium, thorium, gold,<br />

silver, copper, nickel, iron, aluminium, molybdenum, tin,<br />

titanium, vanadium, etc. industries such as aforementioned<br />

cause natural radiation.<br />

Extraction of minerals<br />

This was undertaken by conventional underground or<br />

open pit mining techniques or acid leaching. Mineral processing<br />

can involve dry techniques including electrostatic<br />

or magnetic separation or wet techniques such as acid or<br />

alkaline leaching and chemical flotation or electrical or<br />

furnace smelting. All of these processes can affect the<br />

concentrations of radionuclides in both waste and product<br />

streams.<br />

Mineral sands production<br />

Mineral sands production (including ilmenite, leucoxene,<br />

rutile, zircon, monazite and xenotime) leads to several<br />

waste materials from primary processing of ore. Some of<br />

these waste materials are returned to the mined out pit<br />

for disposal.<br />

In copper production<br />

Wastes containing NORM arise in tailings from the<br />

flotation stage and furnace slags from the smelting stage.<br />

In tin and tantalum production, dry and wet separation<br />

stages produce tailings slurry that is further treated and<br />

disposed off in a tailings dam close to the mine site.<br />

Tantalum products also contain low levels of NORM. Iron<br />

and steel production wastes include blast furnace slags<br />

and dusts and fumes from the sinter plant and off gas<br />

cleaning in the blast furnace operation.<br />

In phosphate ore processing<br />

NORM is found in tailings from fertiliser production that<br />

are normally used as backfill at the mine site and also in<br />

fertilizer product at levels which do not cause any<br />

significant increase in the uranium and thorium levels in<br />

soil treated with fertilizer. In phosphoric acid production,<br />

the majority of the NORM is left in the phosphogypsum,<br />

which can be stockpiled on site or disposed of as landfill.<br />

Phosphogypsum may also be used in fertilizer, soil<br />

conditioner, building material (plasterboard, cement<br />

aggregate) and in road construction (ARPANSA, 2004).<br />

A lot of studies can be found on natural radioactivity in<br />

earth soil and water samples. In this study, natural radioactivities<br />

in water samples were investigated from mining<br />

origin.<br />

MATERIAL AND METHODS<br />

Site description<br />

The study area at the Konya city in Turkey is shown in Figure 1. It is


Table 1. Drinking water standards of gross alpha and gross beta (WHO, 2006; TS266, 2005).<br />

Radionuclide WHO (WHO,2006) Institute of Turkish Standards, (ITS 266, 2005)<br />

Gross alpha 0.01 Bq/l (2.7 pCi/l) 0.0037 Bq/l (0.1 pCi/l)<br />

Gross beta 0.1 Bq/l (27 pCi/l) 0.037 Bq/l (1 PCi/l)<br />

in the Turkey’s central Anatolia region. Konya has a lot of mine<br />

resources. These are barite, bentonite, mercury, porcelain clay,<br />

clay, limestone, chrome, meerschaum, marble, talcum, asbestos,<br />

lignite, etc. (MTA, 2010). Naturally, these mining resources and<br />

their processing activity lead to natural radiation on nearest water<br />

supplies and soil.<br />

Sampling<br />

In this study, gross alpha and gross beta activities were measured<br />

for the samples which have been taken from eight different drinking<br />

water resource (1 surface water, 6 well water, 1 tap water) in Konya<br />

city for two different seasons (winter and summer). Sampling points<br />

are shown in Figure 1. The values of measurements of the samples<br />

which were taken in the Centrum of Konya show that there is no<br />

natural radiation problem in water resources. Although, some<br />

measurements result to higher gross alpha parameter according to<br />

TS 266 (Turkish Standards of drinking water), but are still lower<br />

than WHO standards, so this causes no problem. Furthermore,<br />

gross beta activity values are fairly low according to TS 266 also,<br />

WHO standards, so beta radioactivity causes no danger (TS 266,<br />

2005). Drinking water standards of gross alpha and gross beta are<br />

shown in Table 1.<br />

Determination of natural radioactivity<br />

Primarily, the aim of this study was to determine the level of natural<br />

radioactivity in different drinking water supplies in Konya city. Eight<br />

sampling sites for drinking water supplies have been selected in<br />

Konya city. Figure 1 gives a detailed description of all sampling<br />

sites. Sample bottles were rinsend with pure water, then filled<br />

completely to minimize headspace. The sample bottles were<br />

cleaned using a modified procedure before collection. (Laxen and<br />

Harrison, 1981). Whole drinking water samples were collected by 1<br />

L capacity of polypropylene bottles and acidified pH 2 with pure<br />

HNO3 until analysis. Measurements of radioactivity level in all water<br />

samples were performed by the method of EPA using the gross<br />

alpha and gross beta counting system Epa method 900 (EPA,<br />

1980). An aliquot of a preserved drinking water sample is evaporated<br />

to a small volume and transferred quantitatively to a tared<br />

2-inch stainless steel counting planchet. The sample residue is<br />

dried to constant weight, re-weighed to determine dry residue<br />

weight, then, counted for alpha and/or beta radioactivity. Counting<br />

efficiencies for both alpha and beta particle activities were selected<br />

according to the amount of sample solids from counting efficiency<br />

vs sample solids standard curves (EPA, 1980). Gross α and βactivities<br />

were determined by means of a Tennelec LB 1000 low<br />

background proportional counter subsequently (Tennelec, 1989).<br />

The counter was calibrated with 241 Am and 90 Sr– 90 Y standards by<br />

using potentials of 1100 and 1600 V corresponding to the α and βplateaus,<br />

respectively. The total yields obtained for the α and βcountings<br />

were 16 and 34%, respectively.<br />

Calculations<br />

Equation 1: The following equation was used to calculate the alpha<br />

radioactivity:<br />

Esmeray and Aydin 4315<br />

Where, A is the net alpha count rate (gross alpha count rate minus<br />

the background count rate) at the alpha voltage plateau; C is the<br />

alpha efficiency factor read from the graph of efficiency versus mg<br />

of water solids per cm 2 of planchet area, (cpm/dpm); V is the<br />

volume of sample aliquot, (ml) and 2.22 is the conversion factor<br />

from dpm/pCi (EPA, 1980).<br />

Also, equations that were used to calculate beta radioactivity are<br />

given as:<br />

Equation 2: Is used if there are no significant alpha counts when<br />

the sample is counted at the alpha voltage plateau, the beta activity<br />

can be determined from the following equation:<br />

Where, B is the net beta count rate (gross count rate minus the<br />

background count rate at the beta voltage plateau); D is the beta<br />

efficiency factor read from the graph of efficiency versus mg of<br />

water solids per cm 2 of planchet area, (cpm/dpm); V is the volume<br />

of sample aliquot, (ml) and 2.22 is the conversion factor from<br />

dpm/pCi (EPA, 1980).<br />

Equation 3: Is used when counting beta radioactivity in the<br />

presence of alpha radioactivity by gas-flow proportional counting<br />

systems (at the beta plateau), alpha p<strong>articles</strong> are also counted.<br />

Since alpha p<strong>articles</strong> are more readily absorbed by increasing<br />

sample thickness than beta p<strong>articles</strong>, the alpha/beta count ratios<br />

vary with increasing sample thickness.<br />

Therefore, it is necessary to prepare a calibration curve by<br />

counting standards containing americium-241 with increasing<br />

thickness of solids on the alpha plateau and then, on the beta<br />

plateau, plotting the ratios of the two counts versus density<br />

thickness.<br />

The alpha amplification factor (E) from that curve is used to<br />

correct the amplified alpha count on the beta plateau. When<br />

significant alpha activity is indicated by the sample count at the<br />

alpha voltage plateau, the beta activity of the sample can be<br />

determined by counting the sample at the beta voltage plateau and<br />

calculating the activity from the following equation:<br />

Where, B (as defined in equation 2); D = (as defined equation 2); A<br />

= (as defined in equation 2); E is the alpha amplification factor read<br />

from the graph of the ratio of alpha counted at the beta<br />

voltage/alpha counted at the alpha voltage versus sample density<br />

(1)<br />

(2)<br />

(3)


4316 Afr. J. Biotechnol.<br />

Table 2. Winter season, activity concentrations of gross alpha and gross beta in water<br />

supplies samples in Konya city. (Esmeray and Aydın,2006)<br />

Sample location α Radioactivity (Bq/l) β Radioactivity (Bq/l)<br />

Apa Dam 0.072 ± 0.0023 0.20 ± 0.004<br />

Anit 0.079 ± 0.0026 0.08 ± 0.004<br />

Kongaz II 0.007 ± 0.0021 0.06 ± 0.004<br />

Kas III 0.0062 ± 0.0026 0.05 ± 0.004<br />

Forestry directorate 0.052 ± 0.0025 0.10 ± 0.004<br />

City center (KOSKI) 0.007 ± 0.0020 0.01 ± 0.003<br />

Marangozlar 0.014 ± 0.0022 0.09 ± 0.004<br />

Meram II 0.0077 ± 0.0011 0.18 ± 0.004<br />

Table 3. Spring Season, Activity concentrations of gross alpha and gross beta in<br />

water supplies samples in Konya City. (Esmeray and Aydın,2006)<br />

Sample location α Radioactivity (Bq/l) β Radioactivity (Bq/l)<br />

Apa Dam 0.018 ± 0.0019 0.11 ± 0.004<br />

Anit 0.035 ± 0.0023 0.07 ± 0.003<br />

Kongaz II 0.006 ± 0.0019 0.09 ± 0.004<br />

Kas III 0.0012 ± 0.0018 0.04 ± 0.003<br />

Forestry directorate 0.008 ± 0.0023 0.13 ± 0.004<br />

City center (KOSKI) 0.006 ± 0.0017 0.04 ± 0.003<br />

Marangozlar 0.065 ± 0.0028 0.18 ± 0.004<br />

Meram II 0.007 ± 0.0021 0.18 ± 0.004<br />

thickness; V is the volume of sample aliquot, (ml) and 2.22 is the<br />

conversion factor from dpm/pCi (EPA, 1980).<br />

Finally, all results were converted between units (pCi/l) to (Bq/l)<br />

and used for experimental results. (Esmeray, 2005)<br />

RESULTS AND DISCUSSION<br />

Activity concentrations of gross alpha and gross beta in<br />

drinking water in Konya are shown in Tables 2 and 3. As<br />

shown in Table 2, Apa Dam, Anit and Forestry Directorate’s<br />

gross alpha activity concentrations are over than<br />

the standards of ITS and nevertheless, all results of<br />

gross beta activity concentrations are permissible limits<br />

for both WHO and ITS regulations for drinking water.<br />

Only Marangozlar’s gross alpha activity concentration is<br />

more than ITS standards, as shown in Table 3, but all<br />

other gross alpha activity concentrations are permissible<br />

limits for both WHO and ITS regulations for drinking<br />

water standards. In addition, all gross beta and gross<br />

alpha activity concentrations are generally good and<br />

acceptable for WHO and ITS’s recommended levels of<br />

drinking water (Table 1).<br />

All experimental results show that, the gross alpha<br />

activity ranges between (0.0062 (Meram II) and 0.79<br />

(Anıt) Bq.l -1 -winter season) (0.0012 (Kas III) and 0.065<br />

(Koski) Bq.l -1 -spring season). Besides, gross beta activity<br />

lies between (0.001(Koski) and 0.2 (Apa Dam) Bq.l -1 -<br />

winter season) (0.004 (Koski, Kas III) and 0.18 (Meram II,<br />

Marangozlar) Bq.l -1 -spring season). Activity concentrations<br />

of gross alpha and gross-beta in water supplies<br />

in Konya are shown in Table 3 (winter and spring<br />

season).<br />

As shown in Tables 2 and 3, the lowest average were<br />

0.0062 ± 0.0026 Bq/l (gross alpha) and 0.01 ± 0.003 Bq/l<br />

(gross beta) in winter and the highest seasonal average<br />

were 0.079 ± 0.0026 Bq/l (gross alpha) and 0.20 ± 0.004<br />

Bq/l (gross beta) in winter. Also, the lowest average were<br />

0.0012 ± 0.0018 Bq/l (gross alpha) and 0.04 ± 0.003 Bq/l<br />

(gross beta) in spring and the highest seasonal average<br />

were 0.065 ± 0.0028 Bq/l (gross alpha) and 0.18 ± 0.004<br />

Bq/l (gross beta) in spring. Evaporation conditions, temperature<br />

changes, solubility of radioactive materials can<br />

be causes of seasonal changes in gross alpha and gross<br />

beta activities in Konya. Besides, the concentration of<br />

radioactivity increases in spring and summer due to high<br />

evaporation rates and the increase of solubility of salts<br />

due to the higher temperature of the water (Hosseini,<br />

2007). Additionally, high levels of natural radioactivity in<br />

drinking water are accompanied with potential health<br />

risks for the population by increasing the radiation dose.<br />

Hence, water must be purified before using it. There are<br />

several methods known to remove radioactivity from water


such as aeration to remove granular activated<br />

carbon (GAC), ion exchange methods (IX), reverse<br />

osmosis (RO) to remove “Gross alpha and gross beta,<br />

uranium etc.” and various adsorption methods to remove<br />

other natural radioactivity sources (Esmeray and Aydin,<br />

2008).<br />

Conclusions<br />

The levels of gross alpha and gross beta activity in Konya<br />

region located in central anatolia of Turkey have been<br />

studied. Experimental results observed show that, gross<br />

alpha and gross beta activity concentrations are lower<br />

than standards of WHO and ITS (WHO, 2006; ITS,<br />

2001). This kind of the study must be continued for other<br />

parts of Konya and Turkey. The results and data obtained<br />

in this work are a baseline which can be used to evaluate<br />

possible future changes.<br />

ACKNOWLEDGEMENT<br />

The authors thank the Selcuk University Research Fund<br />

(BAP) for its financial support of the work undertaken<br />

here (2004/70), that this paper has been derived from a<br />

part of MSc. thesis of Ertugrul ESMERAY.<br />

REFERENCES<br />

ARPANSA (2004). Naturally-Occurring Radioactive Material (NORM) in<br />

Australia: Issues for Discussion, Australian Goverment, MelBourne.<br />

EPA (Environmental Protection Agency) (1980). Prescribed Procedures<br />

for Measurement of Radioctivity in Drinking Water, (EPA/600/4-80-<br />

032),<br />

Esmeray and Aydin 4317<br />

Esmeray E (2005).Natural radioactivity in various water supplies of<br />

Konya, Turkey, MSc. Thesis, Selcuk university graduate school of<br />

natural and applied sciences, Konya.<br />

Esmeray E, Aydın ME (2006). An investigation on natural radioactivity<br />

from mining industry, VITH International Conference of Modern<br />

Management of Mine Producing, Geology and Environmental<br />

Protection (SGEM 2006), Albena-Varna, Bulgaria, 12-16 June.<br />

Esmeray E, Aydın ME (2008). Comparison of natural radioactivitiy<br />

removal methods for drinking water supplies, J. Int. Environ. Appl.<br />

Sci. Vol 3, Issue 3, pp. 142-146.<br />

Hosseini SA (2007). Radioactivity monitoring in drinking water of<br />

Zahedan, Iran, Iran. J. Radiat. Res. 5(2): 97-100.<br />

ITS (2001). Institution of Turkish Standards. Annual Progress Report.<br />

Jamal A-J (2002). Population doses from terrestrial gamma exposure in<br />

areas near to old phosphate mine, Russaifa, Jordan, Radiation<br />

Measurements, 35: 23-28.<br />

Laxen DPH, Harrison RM (1981). Cleaning methods for polyethene<br />

containers prior to the determination of trace metals in freshwater<br />

samples, Anal. Chem. 53(2): 345-350,<br />

MTA (2010). General directorate of mineral research and expolaration<br />

web site, mineral maps of provinces chapter,<br />

http://www.mta.gov.tr/v1.0/turkiye_maden/il_maden/pdf_2010/konya.pdf<br />

Tennelec, Inc, (1989). Manual Phoswich low Background<br />

Alpha/Beta/Gammacounting system. Oak Ridge, USA, 1.<br />

TS 266 (2005). Turkish Drinking Water Standards.<br />

UNSCEAR (United Nations Scientific Committee on the Effects of<br />

Atomic Radiations) (2000). Sources and effects of ionizing radiation.<br />

Report to the General Assembly, United Nations, New York.<br />

WHO, (World Health Organization) (2006). (third ed.). Guidelines for<br />

Drinking Water Quality: incorporating first addendum. Vol. 1,<br />

recommendations, (3rd ed.),chapter 9: radiological aspects. Geneva:<br />

World Health Organization.


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