Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits

Comparative genome scans can be used to identify chromosome regions, but not traits, that are putatively under selection. Identification of targeted traits may be more likely in recently domesticated populations under strong artificial selection for increased production. We used a North American Atl...

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Bibliographic Details
Main Authors: Liu, Lei, Ang, Keng Pee, Elliott, J. A. K., Kent, Matthew Peter, Lien, Sigbjørn, MacDonald, Danielle, Boulding, Elizabeth Grace
Format: Dataset
Language:unknown
Published: 2016
Subjects:
Online Access:https://doi.org/10.5061/dryad.53b58
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::67dc701fc3005e9590c4deb64a93598d 2023-05-15T15:31:06+02:00 Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits Liu, Lei Ang, Keng Pee Elliott, J. A. K. Kent, Matthew Peter Lien, Sigbjørn MacDonald, Danielle Boulding, Elizabeth Grace 2016-01-01 https://doi.org/10.5061/dryad.53b58 undefined unknown http://dx.doi.org/10.5061/dryad.53b58 https://dx.doi.org/10.5061/dryad.53b58 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:96291 10.5061/dryad.53b58 oai:easy.dans.knaw.nl:easy-dataset:96291 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Life sciences medicine and health care Captive Populations Genomics/Proteomics Salmo salar Contemporary Evolution Aquaculture Population Genetics - Empirical quantitative genetics Adaptation Bay of Fundy envir anthro-se Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2016 fttriple https://doi.org/10.5061/dryad.53b58 2023-01-22T16:52:13Z Comparative genome scans can be used to identify chromosome regions, but not traits, that are putatively under selection. Identification of targeted traits may be more likely in recently domesticated populations under strong artificial selection for increased production. We used a North American Atlantic salmon 6K SNP dataset to locate genome regions of an aquaculture strain (Saint John River) that were highly diverged from that of its putative wild founder population (Tobique River). First, admixed individuals with partial European ancestry were detected using STRUCTURE and removed from the dataset. Outlier loci were then identified as those showing extreme differentiation between the aquaculture population and the founder population. All Arlequin methods identified an overlapping subset of 17 outlier loci, 3 of which were also identified by BayeScan. Many outlier loci were near candidate genes and some were near published quantitative trait loci (QTLs) for growth, appetite, maturity, or disease-resistance. Parallel comparisons using a wild, non-founder population (Stewiacke River) yielded only one overlapping outlier locus as well as a known maturity QTL. We conclude that genome scans comparing a recently domesticated strain with its wild founder population can facilitate identification of candidate genes for traits known to have been under strong artificial selection. TOB VS STW populations_textraw dataset with 3980 SNP genotypes for two wild Atlantic salmon populations from the Tobique River and the Stewiacke River in the Bay of Fundy, Canada. Dataset Atlantic salmon Salmo salar Unknown Canada
institution Open Polar
collection Unknown
op_collection_id fttriple
language unknown
topic Life sciences
medicine and health care
Captive Populations
Genomics/Proteomics
Salmo salar
Contemporary Evolution
Aquaculture
Population Genetics - Empirical
quantitative genetics
Adaptation
Bay of Fundy
envir
anthro-se
spellingShingle Life sciences
medicine and health care
Captive Populations
Genomics/Proteomics
Salmo salar
Contemporary Evolution
Aquaculture
Population Genetics - Empirical
quantitative genetics
Adaptation
Bay of Fundy
envir
anthro-se
Liu, Lei
Ang, Keng Pee
Elliott, J. A. K.
Kent, Matthew Peter
Lien, Sigbjørn
MacDonald, Danielle
Boulding, Elizabeth Grace
Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits
topic_facet Life sciences
medicine and health care
Captive Populations
Genomics/Proteomics
Salmo salar
Contemporary Evolution
Aquaculture
Population Genetics - Empirical
quantitative genetics
Adaptation
Bay of Fundy
envir
anthro-se
description Comparative genome scans can be used to identify chromosome regions, but not traits, that are putatively under selection. Identification of targeted traits may be more likely in recently domesticated populations under strong artificial selection for increased production. We used a North American Atlantic salmon 6K SNP dataset to locate genome regions of an aquaculture strain (Saint John River) that were highly diverged from that of its putative wild founder population (Tobique River). First, admixed individuals with partial European ancestry were detected using STRUCTURE and removed from the dataset. Outlier loci were then identified as those showing extreme differentiation between the aquaculture population and the founder population. All Arlequin methods identified an overlapping subset of 17 outlier loci, 3 of which were also identified by BayeScan. Many outlier loci were near candidate genes and some were near published quantitative trait loci (QTLs) for growth, appetite, maturity, or disease-resistance. Parallel comparisons using a wild, non-founder population (Stewiacke River) yielded only one overlapping outlier locus as well as a known maturity QTL. We conclude that genome scans comparing a recently domesticated strain with its wild founder population can facilitate identification of candidate genes for traits known to have been under strong artificial selection. TOB VS STW populations_textraw dataset with 3980 SNP genotypes for two wild Atlantic salmon populations from the Tobique River and the Stewiacke River in the Bay of Fundy, Canada.
format Dataset
author Liu, Lei
Ang, Keng Pee
Elliott, J. A. K.
Kent, Matthew Peter
Lien, Sigbjørn
MacDonald, Danielle
Boulding, Elizabeth Grace
author_facet Liu, Lei
Ang, Keng Pee
Elliott, J. A. K.
Kent, Matthew Peter
Lien, Sigbjørn
MacDonald, Danielle
Boulding, Elizabeth Grace
author_sort Liu, Lei
title Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits
title_short Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits
title_full Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits
title_fullStr Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits
title_full_unstemmed Data from: A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and QTLs for production traits
title_sort data from: a genome scan for selection signatures comparing farmed atlantic salmon with two wild populations: testing co-localization among outlier markers, candidate genes, and qtls for production traits
publishDate 2016
url https://doi.org/10.5061/dryad.53b58
geographic Canada
geographic_facet Canada
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
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https://dx.doi.org/10.5061/dryad.53b58
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