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EFS12- Book of abstracts - Contact

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SESSION 1: FUSARIUM – GENETICS, GENOMICS AND SYSTEMS BIOLOGY<br />

P11 - Identifying indicators <strong>of</strong> soil suppressiveness to<br />

fungal diseases<br />

K. Siegel 1 , S. Aimé 1 , E. Chapelle 2 , V. Edel-Hermann 1 , J. Raaijmaakers 2 , P.<br />

Lemanceau 1* , C. Steinberg 1<br />

1 INRA, UMR1347 Agroécologie, 17 rue Sully, BP 86510, 21065 Dijon, France; 2 Wageningen<br />

University; Bld 107, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands; * Coordinator <strong>of</strong><br />

the EU project Ec<strong>of</strong>inders FP7-ENV-2010-264465<br />

E-mail: christian.steinberg@dijon.inra.fr<br />

Soils suppressive to soil-borne diseases are defined by a low disease incidence in<br />

spite <strong>of</strong> the presence <strong>of</strong> a virulent pathogen and a susceptible plant. In many<br />

cases, the inhibition <strong>of</strong> the disease development relies on the activity <strong>of</strong> the<br />

resident soil microbiome.<br />

To identify taxonomic microbial indicators linked to the suppressiveness<br />

phenotype <strong>of</strong> soils, culture independent-based methods have been employed to<br />

analyse and compare microbial dynamics in two different soils suppressive to<br />

either Rhizoctonia solani damping-<strong>of</strong>f disease <strong>of</strong> sugar beet or Fusarium wilt<br />

disease on flax. Fungal and bacterial taxonomic biodiversity were estimated from<br />

ITS and 16S genes by amplicon pyrosequencing. To that end, metagenomic DNA<br />

was extracted from the rhizosphere <strong>of</strong> plants grown in soils with different level <strong>of</strong><br />

suppressiveness.<br />

We obtained 218650 reads in total (125602 for fungi and 93048 for bacteria). At<br />

this moment, the analyses <strong>of</strong> fungal communities are in progress. 114641 reads<br />

was kept after filtering by bioinformatic pipeline, distributed into 2303 clusters and<br />

3379 singletons. Although, the bioinformatic and statistical analysis are not<br />

finished yet, we have already noticed a difference in the taxonomic diversity<br />

composition between suppressive and conducive soils which could explain the<br />

suppressive/conducive character <strong>of</strong> given soil.<br />

The next step is to achieve the bacterial communities in Fusarium wilt<br />

suppressive/conducive soils and to assess the microbial diversity <strong>of</strong> other soilborne<br />

diseases suppressive soils. Once the analyses <strong>of</strong> sequencing data are<br />

finished and the taxonomic assignments done, the comparison <strong>of</strong> microbial<br />

diversity <strong>of</strong> all studied soils will be performed in order to find out the similarities<br />

or/and differences in these soils which will provide the suppressiveness<br />

indicators.<br />

Keywords: Châteaurenard, Ec<strong>of</strong>inders, Fusarium oxysporum, Soil-borne disease<br />

103

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