Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)

Atlantic salmon (Salmo salar) is one of the most extensively studied fish species in the world due to its significance in aquaculture, fisheries and ongoing conservation efforts to protect declining populations. Yet, limited genomic resources have hampered our understanding of genetic architecture i...

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Main Authors: Bourret, Vincent, Kent, Matthew P., Primmer, Craig R., Vasemägi, Anti, Karlsson, Sten, Hindar, Kjetil, McGinnity, Philip, Verspoor, Eric, Bernatchez, Louis, Lien, Sigbjørn
Language:unknown
Published: 2018
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-v6-48of
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:102922
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:102922
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:102922 2023-07-02T03:31:42+02:00 Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar) Bourret, Vincent Kent, Matthew P. Primmer, Craig R. Vasemägi, Anti Karlsson, Sten Hindar, Kjetil McGinnity, Philip Verspoor, Eric Bernatchez, Louis Lien, Sigbjørn 2018-02-15T22:24:31.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-v6-48of https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:102922 unknown doi:10.5061/dryad.gm367.2/1.2 doi:10.5061/dryad.gm367.2/2.2 doi:10.5061/dryad.gm367.2/3.2 doi:10.1111/mec.12003 PMID:22967111 http://nbn-resolving.org/urn:nbn:nl:ui:13-v6-48of doi:10.5061/dryad.gm367.2 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:102922 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2018 ftdans https://doi.org/10.5061/dryad.gm367.2/1.210.5061/dryad.gm367.2/2.210.5061/dryad.gm367.2/3.210.1111/mec.1200310.5061/dryad.gm367.2 2023-06-13T13:28:44Z Atlantic salmon (Salmo salar) is one of the most extensively studied fish species in the world due to its significance in aquaculture, fisheries and ongoing conservation efforts to protect declining populations. Yet, limited genomic resources have hampered our understanding of genetic architecture in the species and the genetic basis of adaptation to the wide range of natural and artificial environments it occupies. In this paper, we describe the development of a medium density Atlantic salmon SNP-array based on Expressed Sequence Tags (ESTs) and genomic sequencing. The array was used in the most extensive assessment of population genetic structure performed to date in this species. A total of 6176 informative SNPs were successfully genotyped in 38 anadromous and freshwater wild populations distributed across the species natural range. Principal component analysis clearly differentiated European and North American populations, and within Europe, three major regional genetic groups were identified for the first time in a single analysis. We assessed the potential for the array to disentangle neutral and putative adaptive divergence of SNP allele frequencies across populations and among regional groups. In Europe, secondary contact zones were identified between major clusters where endogenous and exogenous barriers could be associated, rendering the interpretation of environmental influence on potentially adaptive divergence equivocal. A small number of markers highly divergent in allele frequencies (outliers) were observed between (multiple) freshwater and anadromous populations, between northern and southern latitudes, and when comparing Baltic populations to all others. We also discuss the potential future applications of the SNP-array for conservation, management and aquaculture. Other/Unknown Material Atlantic salmon Salmo salar Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Life sciences
medicine and health care
spellingShingle Life sciences
medicine and health care
Bourret, Vincent
Kent, Matthew P.
Primmer, Craig R.
Vasemägi, Anti
Karlsson, Sten
Hindar, Kjetil
McGinnity, Philip
Verspoor, Eric
Bernatchez, Louis
Lien, Sigbjørn
Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
topic_facet Life sciences
medicine and health care
description Atlantic salmon (Salmo salar) is one of the most extensively studied fish species in the world due to its significance in aquaculture, fisheries and ongoing conservation efforts to protect declining populations. Yet, limited genomic resources have hampered our understanding of genetic architecture in the species and the genetic basis of adaptation to the wide range of natural and artificial environments it occupies. In this paper, we describe the development of a medium density Atlantic salmon SNP-array based on Expressed Sequence Tags (ESTs) and genomic sequencing. The array was used in the most extensive assessment of population genetic structure performed to date in this species. A total of 6176 informative SNPs were successfully genotyped in 38 anadromous and freshwater wild populations distributed across the species natural range. Principal component analysis clearly differentiated European and North American populations, and within Europe, three major regional genetic groups were identified for the first time in a single analysis. We assessed the potential for the array to disentangle neutral and putative adaptive divergence of SNP allele frequencies across populations and among regional groups. In Europe, secondary contact zones were identified between major clusters where endogenous and exogenous barriers could be associated, rendering the interpretation of environmental influence on potentially adaptive divergence equivocal. A small number of markers highly divergent in allele frequencies (outliers) were observed between (multiple) freshwater and anadromous populations, between northern and southern latitudes, and when comparing Baltic populations to all others. We also discuss the potential future applications of the SNP-array for conservation, management and aquaculture.
author Bourret, Vincent
Kent, Matthew P.
Primmer, Craig R.
Vasemägi, Anti
Karlsson, Sten
Hindar, Kjetil
McGinnity, Philip
Verspoor, Eric
Bernatchez, Louis
Lien, Sigbjørn
author_facet Bourret, Vincent
Kent, Matthew P.
Primmer, Craig R.
Vasemägi, Anti
Karlsson, Sten
Hindar, Kjetil
McGinnity, Philip
Verspoor, Eric
Bernatchez, Louis
Lien, Sigbjørn
author_sort Bourret, Vincent
title Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
title_short Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
title_full Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
title_fullStr Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
title_full_unstemmed Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
title_sort data from: snp-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of atlantic salmon (salmo salar)
publishDate 2018
url http://nbn-resolving.org/urn:nbn:nl:ui:13-v6-48of
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:102922
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_relation doi:10.5061/dryad.gm367.2/1.2
doi:10.5061/dryad.gm367.2/2.2
doi:10.5061/dryad.gm367.2/3.2
doi:10.1111/mec.12003
PMID:22967111
http://nbn-resolving.org/urn:nbn:nl:ui:13-v6-48of
doi:10.5061/dryad.gm367.2
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:102922
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
op_doi https://doi.org/10.5061/dryad.gm367.2/1.210.5061/dryad.gm367.2/2.210.5061/dryad.gm367.2/3.210.1111/mec.1200310.5061/dryad.gm367.2
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