maenas (intertidal zone) and Segonzacia mesatlantica - Station ...

maenas (intertidal zone) and Segonzacia mesatlantica - Station ... maenas (intertidal zone) and Segonzacia mesatlantica - Station ...

sb.roscoff.fr
from sb.roscoff.fr More from this publisher
24.06.2014 Views

190 CHAPITRE 5. ADAPTATIONS RESPIRATOIRES DE S. MESATLANTICA FIG. 5.6 – Hemocyanin complex proportion in Segonzacia mesatlantica hemolymph. (a) example of a SEC-MALLS profile obtained for a "high-dodecamer" sample ; (b) example of a SEC-MALLS profile obtained for a "high-hexamer" sample. Full line is the refractive index profile, dots are the calculated masses from the MALLS data. 18, 12, 6, octadecamer, dodecamer and hexamer peaks, respectively. (c) dodecamer and hexamer proportions under the different experimental conditions. Bars are average values ± standard deviations. c, control crabs, exp, experimental crabs, hypo, hypoxia, normo, normoxia. that the crabs are globally in good health (Tentori et Lockwood, 1990). For divalent cations, average calcium level is 13 mM ± 8 % and average magnesium level is 23 mM ± 18 % for all measured crabs (Figure 5.5c). These levels are thus relatively stable with a higher inter-individual variability for magnesium. Divalent cations are known to be potential modulators for Hc (Truchot, 1975). Lactate and urate are crucial Hc modulators in numerous crustacean species and are typical of an environmental and/or metabolic stress (Bridges, 2001). Lactate levels are high in all groups for Segonzacia mesatlantica, with values ranging from 1.85 to 11.9 mM and an average value of 4.21 mM ± 33 %. The variability between individuals is very high for two groups (normoxia 10°C control and hypoxia 20°C experimental groups) and relatively low in the other groups (Figure 5.5d). Urate levels exhibit a very strong interindividual variability, with values ranging from 34.5 to 601 µM and an average value of 191 µM ± 61 %. This variability is particularly high in hypoxia experimental groups (Figure 5.5d). In general, urate levels tend to be higher in the experimental groups (see later in the text for statistical analysis). The highest values observed for Segonzacia mesatlantica urate levels are very high compared to Carcinus maenas (maximum value for C. maenas 221 µM, observed in temperature and oxygenation stress experiments (Lallier, 1988)). Dodecamer and hexamer abundances were also determined by FPLC. A higher proportion of

5.4. MANUSCRIT : RESPIRATORY ADAPTATIONS OF S. MESATLANTICA 191 hexamer is visible in all samples compared to shallow water brachyurans (average hexamer proportion of 54 % for S. mesatlantica). This proportion varies from one crab to another, with values ranging from 33 to 66 % of Hc content. For Carcinus maenas fresh hemolymph, hexamer content is typically 5 to 20 % (personal observation). Figure 5.6 shows an example of a "high-hexamer" and a "low-hexamer" sample analyzed by FPLC. Canonical redundancy analysis of experimental effects The effect of experimental conditions was tested using RDA, a non-parametric method enabling to test if the multivariate response data from different experimental groups are significantly different, without a priori assumptions about normality. It also permits to produce graphical representations of the relationships between the response variables (in our case, 11 hemolymph variables) and the explanatory variables representing the experimental conditions (Legendre et Legendre, 1998, Legendre et Anderson, 1999). The analysis was performed on the table of 11 measured response variables for 44 crabs for which information without missing values was available (total protein, Hc, sodium, potassium, calcium, magnesium, L-lactate and urate concentrations, dodecamer, hexamer and 18-mer proportions). For each crab, the explanatory variables are the collection site, sex, size, number of thawings (some hemolymph samples were thawed once before analysis for another study on oxidative stress), experimental groups (one group for each of the 4 experiments ; in each group, the control crabs were dissected prior to acclimating the others), and experimental conditions (control or acclimated crab, temperature and oxygen levels if the crab was acclimated). The interaction between oxygen and temperature effects must be tested first. If it is significant, the main factors cannot be tested in a 2-way anova ; factor 1 has to be tested separately in each of the classes of factor 2 and conversely. If the interaction is not significant, we do not have to take it into account as a covariable in the tests involving the environmental variables. Coding variables were created to represent the oxygen and temperature treatments and control/acclimated status of each crab. A variable Control with mean 0 separated the 18 control crabs (coding value = 1/18) from the 26 acclimated animals (coding value = -1/26) ; a variable Oxygenation with mean 0 represented the 17 crabs submitted to hypoxia (coding value = -1/17), the 18 control crabs (coding value = 0), and the 9 animals subjected to normoxia (coding value = 1/9) ; and a variable Temperature with mean 0 represented the 10 crabs subjected to 10°C (coding value = -1/10), the 18 control crabs (coding value = 0), and the 16 animals subjected to 20°C (coding value = 1/16). An Interaction variable was created by multiplying the corresponding values of the oxygen and temperature treatment variables. Control was orthogonal (correlation r = 0) to the two variables representing the main factors, but because of

5.4. MANUSCRIT : RESPIRATORY ADAPTATIONS OF S. MESATLANTICA 191<br />

hexamer is visible in all samples compared to shallow water brachyurans (average hexamer proportion<br />

of 54 % for S. <strong>mesatlantica</strong>). This proportion varies from one crab to another, with values ranging from<br />

33 to 66 % of Hc content. For Carcinus <strong>maenas</strong> fresh hemolymph, hexamer content is typically 5 to<br />

20 % (personal observation). Figure 5.6 shows an example of a "high-hexamer" <strong>and</strong> a "low-hexamer"<br />

sample analyzed by FPLC.<br />

Canonical redundancy analysis of experimental effects<br />

The effect of experimental conditions was tested using RDA, a non-parametric method enabling<br />

to test if the multivariate response data from different experimental groups are significantly different,<br />

without a priori assumptions about normality. It also permits to produce graphical representations of<br />

the relationships between the response variables (in our case, 11 hemolymph variables) <strong>and</strong> the explanatory<br />

variables representing the experimental conditions (Legendre et Legendre, 1998, Legendre<br />

et Anderson, 1999).<br />

The analysis was performed on the table of 11 measured response variables for 44 crabs for which<br />

information without missing values was available (total protein, Hc, sodium, potassium, calcium, magnesium,<br />

L-lactate <strong>and</strong> urate concentrations, dodecamer, hexamer <strong>and</strong> 18-mer proportions). For each<br />

crab, the explanatory variables are the collection site, sex, size, number of thawings (some hemolymph<br />

samples were thawed once before analysis for another study on oxidative stress), experimental<br />

groups (one group for each of the 4 experiments ; in each group, the control crabs were dissected prior<br />

to acclimating the others), <strong>and</strong> experimental conditions (control or acclimated crab, temperature <strong>and</strong><br />

oxygen levels if the crab was acclimated).<br />

The interaction between oxygen <strong>and</strong> temperature effects must be tested first. If it is significant,<br />

the main factors cannot be tested in a 2-way anova ; factor 1 has to be tested separately in each of<br />

the classes of factor 2 <strong>and</strong> conversely. If the interaction is not significant, we do not have to take it<br />

into account as a covariable in the tests involving the environmental variables. Coding variables were<br />

created to represent the oxygen <strong>and</strong> temperature treatments <strong>and</strong> control/acclimated status of each<br />

crab. A variable Control with mean 0 separated the 18 control crabs (coding value = 1/18) from the<br />

26 acclimated animals (coding value = -1/26) ; a variable Oxygenation with mean 0 represented the<br />

17 crabs submitted to hypoxia (coding value = -1/17), the 18 control crabs (coding value = 0), <strong>and</strong><br />

the 9 animals subjected to normoxia (coding value = 1/9) ; <strong>and</strong> a variable Temperature with mean 0<br />

represented the 10 crabs subjected to 10°C (coding value = -1/10), the 18 control crabs (coding value<br />

= 0), <strong>and</strong> the 16 animals subjected to 20°C (coding value = 1/16). An Interaction variable was created<br />

by multiplying the corresponding values of the oxygen <strong>and</strong> temperature treatment variables. Control<br />

was orthogonal (correlation r = 0) to the two variables representing the main factors, but because of

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!