A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits
Abstract 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 Ame...
Published in: | Evolutionary Applications |
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Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2016
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Online Access: | http://europepmc.org/articles/PMC5322405 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12450 https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12450 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12450 https://doi.org/10.1111/eva.12450 https://www.ncbi.nlm.nih.gov/pubmed/28250812 https://onlinelibrary.wiley.com/doi/abs/10.1111/eva.12450 https://brage.bibsys.no/xmlui/handle/11250/2469508 https://academic.microsoft.com/#/detail/2552674072 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::dd503ac1e9d41bc0e27d15705f59ab6d 2023-05-15T15:30:51+02:00 A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits Danielle Macdonald Matthew Peter Kent Sigbjørn Lien Keng Pee Ang J.A.K. Elliott Lei Liu Elizabeth G. Boulding 2016-12-29 http://europepmc.org/articles/PMC5322405 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12450 https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12450 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12450 https://doi.org/10.1111/eva.12450 https://www.ncbi.nlm.nih.gov/pubmed/28250812 https://onlinelibrary.wiley.com/doi/abs/10.1111/eva.12450 https://brage.bibsys.no/xmlui/handle/11250/2469508 https://academic.microsoft.com/#/detail/2552674072 en eng http://europepmc.org/articles/PMC5322405 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12450 https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12450 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12450 http://dx.doi.org/10.1111/eva.12450 https://doi.org/10.1111/eva.12450 https://www.ncbi.nlm.nih.gov/pubmed/28250812 https://onlinelibrary.wiley.com/doi/abs/10.1111/eva.12450 https://brage.bibsys.no/xmlui/handle/11250/2469508 https://academic.microsoft.com/#/detail/2552674072 https://dx.doi.org/10.1111/eva.12450 lic_creative-commons oai:nmbu.brage.unit.no:11250/2469508 oai:pubmedcentral.nih.gov:5322405 10.1111/eva.12450 2552674072 28250812 10|opendoar____::d16509f6eaca1022bd8f28d6bc582cae 10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|doajarticles::8ae4e940ce25d353cac386b609e44412 10|openaire____::8ac8380272269217cb09a928c8caa993 10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|openaire____::55045bd2a65019fd8e6741a755395c8c openaire____::1256f046-bf1f-4afc-8b47-d0b147148b18 Original Article Original Articles artificial selection Atlantic salmon candidate genes continent of origin domestication selection outlier tests population structure SNP envir anthro-se Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.1111/eva.12450 2023-01-22T17:08:33Z Abstract 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, three 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, nonfounder 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. Article in Journal/Newspaper Atlantic salmon Unknown Evolutionary Applications 10 3 276 296 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Original Article Original Articles artificial selection Atlantic salmon candidate genes continent of origin domestication selection outlier tests population structure SNP envir anthro-se |
spellingShingle |
Original Article Original Articles artificial selection Atlantic salmon candidate genes continent of origin domestication selection outlier tests population structure SNP envir anthro-se Danielle Macdonald Matthew Peter Kent Sigbjørn Lien Keng Pee Ang J.A.K. Elliott Lei Liu Elizabeth G. Boulding A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
topic_facet |
Original Article Original Articles artificial selection Atlantic salmon candidate genes continent of origin domestication selection outlier tests population structure SNP envir anthro-se |
description |
Abstract 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, three 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, nonfounder 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. |
format |
Article in Journal/Newspaper |
author |
Danielle Macdonald Matthew Peter Kent Sigbjørn Lien Keng Pee Ang J.A.K. Elliott Lei Liu Elizabeth G. Boulding |
author_facet |
Danielle Macdonald Matthew Peter Kent Sigbjørn Lien Keng Pee Ang J.A.K. Elliott Lei Liu Elizabeth G. Boulding |
author_sort |
Danielle Macdonald |
title |
A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
title_short |
A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
title_full |
A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
title_fullStr |
A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
title_full_unstemmed |
A genome scan for selection signatures comparing farmed Atlantic salmon with two wild populations: Testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
title_sort |
genome scan for selection signatures comparing farmed atlantic salmon with two wild populations: testing colocalization among outlier markers, candidate genes, and quantitative trait loci for production traits |
publishDate |
2016 |
url |
http://europepmc.org/articles/PMC5322405 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12450 https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12450 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12450 https://doi.org/10.1111/eva.12450 https://www.ncbi.nlm.nih.gov/pubmed/28250812 https://onlinelibrary.wiley.com/doi/abs/10.1111/eva.12450 https://brage.bibsys.no/xmlui/handle/11250/2469508 https://academic.microsoft.com/#/detail/2552674072 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
oai:nmbu.brage.unit.no:11250/2469508 oai:pubmedcentral.nih.gov:5322405 10.1111/eva.12450 2552674072 28250812 10|opendoar____::d16509f6eaca1022bd8f28d6bc582cae 10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|doajarticles::8ae4e940ce25d353cac386b609e44412 10|openaire____::8ac8380272269217cb09a928c8caa993 10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|openaire____::55045bd2a65019fd8e6741a755395c8c openaire____::1256f046-bf1f-4afc-8b47-d0b147148b18 |
op_relation |
http://europepmc.org/articles/PMC5322405 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12450 https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12450 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12450 http://dx.doi.org/10.1111/eva.12450 https://doi.org/10.1111/eva.12450 https://www.ncbi.nlm.nih.gov/pubmed/28250812 https://onlinelibrary.wiley.com/doi/abs/10.1111/eva.12450 https://brage.bibsys.no/xmlui/handle/11250/2469508 https://academic.microsoft.com/#/detail/2552674072 https://dx.doi.org/10.1111/eva.12450 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.1111/eva.12450 |
container_title |
Evolutionary Applications |
container_volume |
10 |
container_issue |
3 |
container_start_page |
276 |
op_container_end_page |
296 |
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