Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences
Disentangling the effects of natural environmental features and anthropogenic factors on the genetic structure of endangered populations is an important challenge for conservation biology. Here we investigated the combined influences of major environmental features and stocking with non-native fish...
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Dryad
2021
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Online Access: | https://doi.org/10.5061/dryad.72151 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::2fca81b944441e2f353e63701d0a3511 2023-05-15T15:31:03+02:00 Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences Perrier, Charles Guyomard, René Baglinière, Jean-Luc Evanno, Guillaume 2021-06-27 https://doi.org/10.5061/dryad.72151 en eng Dryad http://dx.doi.org/10.5061/dryad.72151 https://dx.doi.org/10.5061/dryad.72151 lic_creative-commons 10.5061/dryad.72151 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:80835 oai:easy.dans.knaw.nl:easy-dataset:80835 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Fisheries Management Salmo salar Fish Ecological Genetics Population Genetics - Empirical Life sciences medicine and health care Adaptation Conservation Genetics France Europe envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2021 fttriple https://doi.org/10.5061/dryad.72151 2023-01-22T17:16:39Z Disentangling the effects of natural environmental features and anthropogenic factors on the genetic structure of endangered populations is an important challenge for conservation biology. Here we investigated the combined influences of major environmental features and stocking with non-native fish on the genetic structure and local adaptation of Atlantic salmon (Salmo salar) populations. We used 17 microsatellite loci to genotype 975 individuals originating from 34 French rivers. Bayesian analyses revealed a hierarchical genetic structure into five geographically distinct clusters. Coastal distance, geological substrate and river length were strong predictors of population structure. Gene flow was higher among rivers with similar geologies, suggesting local adaptation to geological substrate. The effect of river length was mainly due to one highly differentiated population that has the farthest spawning grounds off the river mouth (up to 900 km) and the largest fish, suggesting local adaptation to river length. We detected high levels of admixture in stocked populations but also in neighboring ones, implying large scale impacts of stocking through dispersal of non-native-individuals. However, we found relatively few admixed individuals suggesting a lower fitness of stocked fish and/or some reproductive isolation between wild and stocked individuals. When excluding stocked populations, genetic structure increased as did its correlation with environmental factors. This study overall indicates that geological substrate and river length are major environmental factors influencing gene flow and potential local adaptation among Atlantic salmon populations but that stocking with non-native individuals may ultimately disrupt these natural patterns of gene flow among locally adapted populations. genotypes Dataset Atlantic salmon Salmo salar Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Fisheries Management Salmo salar Fish Ecological Genetics Population Genetics - Empirical Life sciences medicine and health care Adaptation Conservation Genetics France Europe envir geo |
spellingShingle |
Fisheries Management Salmo salar Fish Ecological Genetics Population Genetics - Empirical Life sciences medicine and health care Adaptation Conservation Genetics France Europe envir geo Perrier, Charles Guyomard, René Baglinière, Jean-Luc Evanno, Guillaume Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences |
topic_facet |
Fisheries Management Salmo salar Fish Ecological Genetics Population Genetics - Empirical Life sciences medicine and health care Adaptation Conservation Genetics France Europe envir geo |
description |
Disentangling the effects of natural environmental features and anthropogenic factors on the genetic structure of endangered populations is an important challenge for conservation biology. Here we investigated the combined influences of major environmental features and stocking with non-native fish on the genetic structure and local adaptation of Atlantic salmon (Salmo salar) populations. We used 17 microsatellite loci to genotype 975 individuals originating from 34 French rivers. Bayesian analyses revealed a hierarchical genetic structure into five geographically distinct clusters. Coastal distance, geological substrate and river length were strong predictors of population structure. Gene flow was higher among rivers with similar geologies, suggesting local adaptation to geological substrate. The effect of river length was mainly due to one highly differentiated population that has the farthest spawning grounds off the river mouth (up to 900 km) and the largest fish, suggesting local adaptation to river length. We detected high levels of admixture in stocked populations but also in neighboring ones, implying large scale impacts of stocking through dispersal of non-native-individuals. However, we found relatively few admixed individuals suggesting a lower fitness of stocked fish and/or some reproductive isolation between wild and stocked individuals. When excluding stocked populations, genetic structure increased as did its correlation with environmental factors. This study overall indicates that geological substrate and river length are major environmental factors influencing gene flow and potential local adaptation among Atlantic salmon populations but that stocking with non-native individuals may ultimately disrupt these natural patterns of gene flow among locally adapted populations. genotypes |
format |
Dataset |
author |
Perrier, Charles Guyomard, René Baglinière, Jean-Luc Evanno, Guillaume |
author_facet |
Perrier, Charles Guyomard, René Baglinière, Jean-Luc Evanno, Guillaume |
author_sort |
Perrier, Charles |
title |
Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences |
title_short |
Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences |
title_full |
Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences |
title_fullStr |
Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences |
title_full_unstemmed |
Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences |
title_sort |
data from: determinants of hierarchical genetic structure in atlantic salmon populations: environmental factors vs. anthropogenic influences |
publisher |
Dryad |
publishDate |
2021 |
url |
https://doi.org/10.5061/dryad.72151 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
10.5061/dryad.72151 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:80835 oai:easy.dans.knaw.nl:easy-dataset:80835 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.72151 https://dx.doi.org/10.5061/dryad.72151 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.72151 |
_version_ |
1766361537870561280 |