Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe

Our ability to examine genetic variation across entire genomes has enabled many studies searching for the genetic basis of local adaptation. These studies have identified numerous loci as candidates for differential local selection; however, relatively few have examined the overlap among candidate l...

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Published in:Journal of Evolutionary Biology
Main Authors: Zueva, Ksenia J., Lumme, Jaakko, Veselov, Alexey E., Primmer, Craig R., Pritchard, Victoria L.
Other Authors: Biosciences, Helsinki Institute of Sustainability Science (HELSUS), Evolution, Conservation, and Genomics, Institute of Biotechnology, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
Online Access:http://hdl.handle.net/10138/336001
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spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/336001 2024-01-07T09:42:10+01:00 Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe Zueva, Ksenia J. Lumme, Jaakko Veselov, Alexey E. Primmer, Craig R. Pritchard, Victoria L. Biosciences Helsinki Institute of Sustainability Science (HELSUS) Evolution, Conservation, and Genomics Institute of Biotechnology Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Sciences 2021-11-03T23:21:12Z 13 application/pdf http://hdl.handle.net/10138/336001 eng eng Wiley 10.1111/jeb.13732 Academy of Finland, Grant/Award Number: 284921, 302873 and 314254 Zueva , K J , Lumme , J , Veselov , A E , Primmer , C R & Pritchard , V L 2021 , ' Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe ' , Journal of Evolutionary Biology , vol. 34 , no. 6 , pp. 866-878 . https://doi.org/10.1111/jeb.13732 ORCID: /0000-0002-3687-8435/work/96738301 10665c34-63d4-4eb1-a4da-ea33cfc431a9 http://hdl.handle.net/10138/336001 000593038600001 openAccess info:eu-repo/semantics/openAccess allelotyping Atlantic salmon divergent selection local adaptation Russia SALAR L GENETIC-STRUCTURE DIVERSITY SELECTION PATTERNS SCANS IDENTIFICATION RANGE LOCUS 1181 Ecology evolutionary biology Article acceptedVersion 2021 ftunivhelsihelda 2023-12-14T00:13:51Z Our ability to examine genetic variation across entire genomes has enabled many studies searching for the genetic basis of local adaptation. These studies have identified numerous loci as candidates for differential local selection; however, relatively few have examined the overlap among candidate loci identified from independent studies of the same species in different geographic areas or evolutionary lineages. We used an allelotyping approach with a 220K SNP array to characterize the population genetic structure of Atlantic salmon in north-eastern Europe and ask whether the same genomic segments emerged as outliers among populations in different geographic regions. Genome-wide data recapitulated the phylogeographic structure previously inferred from mtDNA and microsatellite markers. Independent analyses of three genetically and geographically distinct groups of populations repeatedly inferred the same 17 haploblocks to contain loci under differential local selection. The most strongly supported of these replicated haploblocks had known strong associations with life-history variation or immune response in Atlantic salmon. Our results are consistent with these genomic segments harbouring large-effect loci which have a major role in Atlantic salmon diversification and are ideal targets for validation studies. Peer reviewed Article in Journal/Newspaper Atlantic salmon HELDA – University of Helsinki Open Repository Journal of Evolutionary Biology 34 6 866 878
institution Open Polar
collection HELDA – University of Helsinki Open Repository
op_collection_id ftunivhelsihelda
language English
topic allelotyping
Atlantic salmon
divergent selection
local adaptation
Russia
SALAR L
GENETIC-STRUCTURE
DIVERSITY
SELECTION
PATTERNS
SCANS
IDENTIFICATION
RANGE
LOCUS
1181 Ecology
evolutionary biology
spellingShingle allelotyping
Atlantic salmon
divergent selection
local adaptation
Russia
SALAR L
GENETIC-STRUCTURE
DIVERSITY
SELECTION
PATTERNS
SCANS
IDENTIFICATION
RANGE
LOCUS
1181 Ecology
evolutionary biology
Zueva, Ksenia J.
Lumme, Jaakko
Veselov, Alexey E.
Primmer, Craig R.
Pritchard, Victoria L.
Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe
topic_facet allelotyping
Atlantic salmon
divergent selection
local adaptation
Russia
SALAR L
GENETIC-STRUCTURE
DIVERSITY
SELECTION
PATTERNS
SCANS
IDENTIFICATION
RANGE
LOCUS
1181 Ecology
evolutionary biology
description Our ability to examine genetic variation across entire genomes has enabled many studies searching for the genetic basis of local adaptation. These studies have identified numerous loci as candidates for differential local selection; however, relatively few have examined the overlap among candidate loci identified from independent studies of the same species in different geographic areas or evolutionary lineages. We used an allelotyping approach with a 220K SNP array to characterize the population genetic structure of Atlantic salmon in north-eastern Europe and ask whether the same genomic segments emerged as outliers among populations in different geographic regions. Genome-wide data recapitulated the phylogeographic structure previously inferred from mtDNA and microsatellite markers. Independent analyses of three genetically and geographically distinct groups of populations repeatedly inferred the same 17 haploblocks to contain loci under differential local selection. The most strongly supported of these replicated haploblocks had known strong associations with life-history variation or immune response in Atlantic salmon. Our results are consistent with these genomic segments harbouring large-effect loci which have a major role in Atlantic salmon diversification and are ideal targets for validation studies. Peer reviewed
author2 Biosciences
Helsinki Institute of Sustainability Science (HELSUS)
Evolution, Conservation, and Genomics
Institute of Biotechnology
Organismal and Evolutionary Biology Research Programme
Faculty of Biological and Environmental Sciences
format Article in Journal/Newspaper
author Zueva, Ksenia J.
Lumme, Jaakko
Veselov, Alexey E.
Primmer, Craig R.
Pritchard, Victoria L.
author_facet Zueva, Ksenia J.
Lumme, Jaakko
Veselov, Alexey E.
Primmer, Craig R.
Pritchard, Victoria L.
author_sort Zueva, Ksenia J.
title Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe
title_short Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe
title_full Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe
title_fullStr Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe
title_full_unstemmed Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe
title_sort population genomics reveals repeated signals of adaptive divergence in the atlantic salmon of north-eastern europe
publisher Wiley
publishDate 2021
url http://hdl.handle.net/10138/336001
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation 10.1111/jeb.13732
Academy of Finland, Grant/Award Number: 284921, 302873 and 314254
Zueva , K J , Lumme , J , Veselov , A E , Primmer , C R & Pritchard , V L 2021 , ' Population genomics reveals repeated signals of adaptive divergence in the Atlantic salmon of north-eastern Europe ' , Journal of Evolutionary Biology , vol. 34 , no. 6 , pp. 866-878 . https://doi.org/10.1111/jeb.13732
ORCID: /0000-0002-3687-8435/work/96738301
10665c34-63d4-4eb1-a4da-ea33cfc431a9
http://hdl.handle.net/10138/336001
000593038600001
op_rights openAccess
info:eu-repo/semantics/openAccess
container_title Journal of Evolutionary Biology
container_volume 34
container_issue 6
container_start_page 866
op_container_end_page 878
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