ArticleEcotoxicology (London, England)2013
Population genetics of Lymnaea stagnalis experimentally exposed to cocktails of pesticides.
Article in Ecotoxicology (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 14 citations in OpenAlex.
- Reduced genetic diversity of freshwater amphipods in rivers with increased levels of anthropogenic organic micropollutants.Evolutionary applications · 2022Article
- De novo transcriptome sequencing and analysis of freshwater snail (Radix balthica) to discover genes and pathways affected by exposure to oxazepam.Ecotoxicology (London, England) · 2017Article
- Environmental versus anthropogenic effects on population adaptive divergence in the freshwater snail Lymnaea stagnalis.PloS one · 2014Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Freshwater invertebrates may be regularly exposed to pesticides in agricultural landscapes, as water bodies such as ditches and ponds are the final recipient of many chemicals, through various transfer pathways. Local evolutionary impacts may hence be expected on populations, especially for species with a completely aquatic life cycle. We tested the hypothesis that exposure to combinations of pesticides used in crop protection programmes could increase the effect of random genetic drift in a non-target species, via demographic impacts. To do so, experimental populations of the freshwater snail Lymnaea stagnalis were created from a common genetic pool and exposed for three successive generations to treatments corresponding to two different crop protection plans (conventional and low pesticide input). Population genetic parameters were estimated in each generation on the basis of ten polymorphic microsatellite loci. Effects consistent with increased random genetic drift were observed for one sampling campaign performed in the third generation, i.e., decreased genetic variability and increased population differentiation in the group of populations exposed to the treatment programme whose demographic impact was the most effective on L. stagnalis. Otherwise, no clear pattern emerged and even opposed effects could be observed. All populations were found significantly inbred, mostly due to biparental inbreeding. Conversely, selfing was generally not significant, and did not express preferentially under high pesticide pressure. We conclude from this study that population genetics should be used very cautiously in the context of ecological risk assessment, especially when applied to natural populations.
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