{"data":{"id":"10.5061/dryad.72151","type":"dois","attributes":{"doi":"10.5061/dryad.72151","prefix":"10.5061","suffix":"dryad.72151","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Perrier, Charles","nameType":"Personal","givenName":"Charles","familyName":"Perrier","affiliation":["INRA, UMR 0985 Ecology and Health of Ecosystems, 35042 Rennes, France"],"nameIdentifiers":[]},{"name":"Guyomard, René","nameType":"Personal","givenName":"René","familyName":"Guyomard","affiliation":["INRA, UMR INRA 1313 Animal Genetics and Integrative Biology, Domaine de Vilvert, 78352 Jouy‐en‐Josas Cedex, France"],"nameIdentifiers":[]},{"name":"Baglinière, Jean-Luc","nameType":"Personal","givenName":"Jean-Luc","familyName":"Baglinière","affiliation":["INRA, UMR 0985 Ecology and Health of Ecosystems, 35042 Rennes, France"],"nameIdentifiers":[]},{"name":"Evanno, Guillaume","nameType":"Personal","givenName":"Guillaume","familyName":"Evanno","affiliation":["INRA, UMR 0985 Ecology and Health of Ecosystems, 35042 Rennes, France"],"nameIdentifiers":[]}],"titles":[{"title":"Data from: Determinants of hierarchical genetic structure in Atlantic salmon populations: environmental factors vs. anthropogenic influences"}],"publisher":"Dryad","container":{},"publicationYear":2011,"subjects":[{"subject":"Salmo salar"}],"contributors":[],"dates":[{"date":"2011-08-06T21:29:06Z","dateType":"Submitted"},{"date":"2011-08-09T03:34:41Z","dateType":"Issued"},{"date":"2011-08-09T03:34:41Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"10.1111/j.1365-294x.2011.05266.x","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["168497 bytes"],"formats":[],"version":"1","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Disentangling the effects of natural environmental features and\n anthropogenic factors on the genetic structure of endangered populations\n is an important challenge for conservation biology. Here we investigated\n the combined influences of major environmental features and stocking with\n non-native fish on the genetic structure and local adaptation of Atlantic\n salmon (Salmo salar) populations. We used 17 microsatellite loci to\n genotype 975 individuals originating from 34 French rivers. Bayesian\n analyses revealed a hierarchical genetic structure into five\n geographically distinct clusters. Coastal distance, geological substrate\n and river length were strong predictors of population structure. Gene flow\n was higher among rivers with similar geologies, suggesting local\n adaptation to geological substrate. The effect of river length was mainly\n due to one highly differentiated population that has the farthest spawning\n grounds off the river mouth (up to 900 km) and the largest fish,\n suggesting local adaptation to river length. We detected high levels of\n admixture in stocked populations but also in neighboring ones, implying\n large scale impacts of stocking through dispersal of\n non-native-individuals. However, we found relatively few admixed\n individuals suggesting a lower fitness of stocked fish and/or some\n reproductive isolation between wild and stocked individuals. When\n excluding stocked populations, genetic structure increased as did its\n correlation with environmental factors. This study overall indicates that\n geological substrate and river length are major environmental factors\n influencing gene flow and potential local adaptation among Atlantic salmon\n populations but that stocking with non-native individuals may ultimately\n disrupt these natural patterns of gene flow among locally adapted\n 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