Genetic variation of Lymnaea stagnalis tolerance to copper: A test of selection hypotheses and its relevance for ecological risk assessment | Genetic variation of Lymnaea stagnalis tolerance to copper: A test of selection hypotheses and its relevance for ecological risk assessment: Genetic variation of Lymnaea stagnalis tolerance to copper: A test of selection hypotheses and its relevance for ecological risk assessment
2015
Côte, Jessica | Bouetard, Anthony | Pronost, Yannick | Besnard, Anne-Laure | Coke, Maïra | Piquet, F. | Caquet, Thierry | Coutellec, Marie-Agnès | Écologie et santé des écosystèmes (ESE) ; Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST | Unité d'Ecologie et Ecotoxicologie Aquatiques (UEEA) ; Institut National de la Recherche Agronomique (INRA) | Institut en Santé Agro-Environnement (ISAE) | Département Ecologie des Forêts, Prairies et milieux Aquatiques (DEPT EFPA) ; Institut National de la Recherche Agronomique (INRA)
INRA-Onema "Phylogeny and Polluosensitivity" program This work was supported by the INRA-Onema 2013-2014 "Phylogeny and Polluosensitivity" program. The authors thank Marc Collinet and Antoine Gallard for technical assistance. Elsevier sci ltd
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显示更多 [+] 显示较少 [-]英语. The use of standardized monospecific testing to assess the ecological risk of chemicals implicitly relies on the strong assumption that intraspecific variation in sensitivity is negligible or irrelevant in this context. In this study, we investigated genetic variation in copper sensitivity of the freshwater snail Lymnaea stagnalis, using lineages stemming from eight natural populations or strains found to be genetically differentiated at neutral markers. Copper-induced mortality varied widely among populations, as did the estimated daily death rate and time to 50% mortality (LT50). Population genetic divergence in copper sensitivity was compared to neutral differentiation using the Qs-r-FsT approach. No evidence for homogenizing selection could be detected. This result demonstrates that species-level extrapolations from single population studies are highly unreliable. The study provides a simple example of how evolutionary principles could be incorporated into ecotoxicity testing in order to refine ecological risk assessment. (C) 2015 Elsevier Ltd. All rights reserved.
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