Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon
Genetic admixture between wild and introduced populations is a rising concern for the management of endangered species. Here, we use a dual approach based on molecular analyses of samples collected before and after hatchery fish introduction in combination with a simulation study to obtain insight i...
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ftpubmed:oai:pubmedcentral.nih.gov:3689348 2023-05-15T15:31:25+02:00 Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon Perrier, Charles Baglinière, Jean-Luc Evanno, Guillaume 2013-02 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689348 http://www.ncbi.nlm.nih.gov/pubmed/23798972 https://doi.org/10.1111/j.1752-4571.2012.00280.x en eng Blackwell Publishing Ltd http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689348 http://www.ncbi.nlm.nih.gov/pubmed/23798972 http://dx.doi.org/10.1111/j.1752-4571.2012.00280.x Journal compilation © 2013 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. CC-BY Original Articles Text 2013 ftpubmed https://doi.org/10.1111/j.1752-4571.2012.00280.x 2013-09-05T01:26:38Z Genetic admixture between wild and introduced populations is a rising concern for the management of endangered species. Here, we use a dual approach based on molecular analyses of samples collected before and after hatchery fish introduction in combination with a simulation study to obtain insight into the mechanisms of admixture in wild populations. Using 17 microsatellites, we genotyped pre- and post-stocking samples from four Atlantic salmon populations supplemented with non-native fish to estimate genetic admixture. We also used individual-based temporally explicit simulations based on realistic demographic and stocking data to predict the extent of admixture. We found a low admixture by hatchery stocks within prestocking samples but moderate to high values in post-stocking samples (from 12% to 60%). The simulation scenarios best fitting the real data suggested a 10–25 times lower survival of stocked fish relative to wild individuals. Simulations also suggested relatively high dispersal rates of stocked and wild fish, which may explain some high levels of admixture in weakly stocked populations and the persistence of indigenous genotypes in heavily stocked populations. This study overall demonstrates that combining genetic analyses with simulations can significantly improve the understanding of admixture mechanisms in wild populations. Text Atlantic salmon PubMed Central (PMC) Evolutionary Applications 6 2 218 230 |
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Original Articles Perrier, Charles Baglinière, Jean-Luc Evanno, Guillaume Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon |
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Original Articles |
description |
Genetic admixture between wild and introduced populations is a rising concern for the management of endangered species. Here, we use a dual approach based on molecular analyses of samples collected before and after hatchery fish introduction in combination with a simulation study to obtain insight into the mechanisms of admixture in wild populations. Using 17 microsatellites, we genotyped pre- and post-stocking samples from four Atlantic salmon populations supplemented with non-native fish to estimate genetic admixture. We also used individual-based temporally explicit simulations based on realistic demographic and stocking data to predict the extent of admixture. We found a low admixture by hatchery stocks within prestocking samples but moderate to high values in post-stocking samples (from 12% to 60%). The simulation scenarios best fitting the real data suggested a 10–25 times lower survival of stocked fish relative to wild individuals. Simulations also suggested relatively high dispersal rates of stocked and wild fish, which may explain some high levels of admixture in weakly stocked populations and the persistence of indigenous genotypes in heavily stocked populations. This study overall demonstrates that combining genetic analyses with simulations can significantly improve the understanding of admixture mechanisms in wild populations. |
format |
Text |
author |
Perrier, Charles Baglinière, Jean-Luc Evanno, Guillaume |
author_facet |
Perrier, Charles Baglinière, Jean-Luc Evanno, Guillaume |
author_sort |
Perrier, Charles |
title |
Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon |
title_short |
Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon |
title_full |
Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon |
title_fullStr |
Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon |
title_full_unstemmed |
Understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in Atlantic salmon |
title_sort |
understanding admixture patterns in supplemented populations: a case study combining molecular analyses and temporally explicit simulations in atlantic salmon |
publisher |
Blackwell Publishing Ltd |
publishDate |
2013 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689348 http://www.ncbi.nlm.nih.gov/pubmed/23798972 https://doi.org/10.1111/j.1752-4571.2012.00280.x |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689348 http://www.ncbi.nlm.nih.gov/pubmed/23798972 http://dx.doi.org/10.1111/j.1752-4571.2012.00280.x |
op_rights |
Journal compilation © 2013 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
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CC-BY |
op_doi |
https://doi.org/10.1111/j.1752-4571.2012.00280.x |
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Evolutionary Applications |
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6 |
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2 |
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218 |
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230 |
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