Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon

Background. Understanding genetic architecture is essential for determining how traits will change in response to evolutionary processes such as selection, genetic drift and/or gene flow. In Atlantic salmon, age at maturity is an important life history trait that affects factors such as survival, re...

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Published in:Genetics Selection Evolution
Main Authors: Sinclair-Waters, Marion, Ødegård, Jørgen, Korsvoll, Sven Arild, Moen, Thomas, Lien, Sigbjørn, Primmer, Craig R., Barson, Nicola
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/11250/2687260
https://doi.org/10.1186/s12711-020-0529-8
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spelling ftunivmob:oai:nmbu.brage.unit.no:11250/2687260 2023-05-15T15:30:32+02:00 Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon Sinclair-Waters, Marion Ødegård, Jørgen Korsvoll, Sven Arild Moen, Thomas Lien, Sigbjørn Primmer, Craig R. Barson, Nicola 2020-10-21T12:42:22Z application/pdf https://hdl.handle.net/11250/2687260 https://doi.org/10.1186/s12711-020-0529-8 eng eng Norges forskningsråd: 254852 Genetics Selection Evolution. 2020, 52 (1), 1-11. urn:issn:0999-193X https://hdl.handle.net/11250/2687260 https://doi.org/10.1186/s12711-020-0529-8 cristin:1841177 Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no CC-BY-NC-ND 1-11 52 Genetics Selection Evolution 1 Peer reviewed Journal article 2020 ftunivmob https://doi.org/10.1186/s12711-020-0529-8 2021-09-23T20:16:33Z Background. Understanding genetic architecture is essential for determining how traits will change in response to evolutionary processes such as selection, genetic drift and/or gene flow. In Atlantic salmon, age at maturity is an important life history trait that affects factors such as survival, reproductive success, and growth. Furthermore, age at maturity can seriously impact aquaculture production. Therefore, characterizing the genetic architecture that underlies variation in age at maturity is of key interest. Results. Here, we refine our understanding of the genetic architecture for age at maturity of male Atlantic salmon using a genome-wide association study of 11,166 males from a single aquaculture strain, using imputed genotypes at 512,397 single nucleotide polymorphisms (SNPs). All individuals were genotyped with a 50K SNP array and imputed to higher density using parents genotyped with a 930K SNP array and pedigree information. We found significant association signals on 28 of 29 chromosomes (P-values: 8.7 × 10−133–9.8 × 10−8), including two very strong signals spanning the six6 and vgll3 gene regions on chromosomes 9 and 25, respectively. Furthermore, we identified 116 independent signals that tagged 120 candidate genes with varying effect sizes. Five of the candidate genes found here were previously associated with age at maturity in other vertebrates, including humans. Discussion. These results reveal a mixed architecture of large-effect loci and a polygenic component that consists of multiple smaller-effect loci, suggesting a more complex genetic architecture of Atlantic salmon age at maturity than previously thought. This more complex architecture will have implications for selection on this key trait in aquaculture and for management of wild salmon populations. publishedVersion Article in Journal/Newspaper Atlantic salmon Open archive Norwegian University of Life Sciences: Brage NMBU Genetics Selection Evolution 52 1
institution Open Polar
collection Open archive Norwegian University of Life Sciences: Brage NMBU
op_collection_id ftunivmob
language English
description Background. Understanding genetic architecture is essential for determining how traits will change in response to evolutionary processes such as selection, genetic drift and/or gene flow. In Atlantic salmon, age at maturity is an important life history trait that affects factors such as survival, reproductive success, and growth. Furthermore, age at maturity can seriously impact aquaculture production. Therefore, characterizing the genetic architecture that underlies variation in age at maturity is of key interest. Results. Here, we refine our understanding of the genetic architecture for age at maturity of male Atlantic salmon using a genome-wide association study of 11,166 males from a single aquaculture strain, using imputed genotypes at 512,397 single nucleotide polymorphisms (SNPs). All individuals were genotyped with a 50K SNP array and imputed to higher density using parents genotyped with a 930K SNP array and pedigree information. We found significant association signals on 28 of 29 chromosomes (P-values: 8.7 × 10−133–9.8 × 10−8), including two very strong signals spanning the six6 and vgll3 gene regions on chromosomes 9 and 25, respectively. Furthermore, we identified 116 independent signals that tagged 120 candidate genes with varying effect sizes. Five of the candidate genes found here were previously associated with age at maturity in other vertebrates, including humans. Discussion. These results reveal a mixed architecture of large-effect loci and a polygenic component that consists of multiple smaller-effect loci, suggesting a more complex genetic architecture of Atlantic salmon age at maturity than previously thought. This more complex architecture will have implications for selection on this key trait in aquaculture and for management of wild salmon populations. publishedVersion
format Article in Journal/Newspaper
author Sinclair-Waters, Marion
Ødegård, Jørgen
Korsvoll, Sven Arild
Moen, Thomas
Lien, Sigbjørn
Primmer, Craig R.
Barson, Nicola
spellingShingle Sinclair-Waters, Marion
Ødegård, Jørgen
Korsvoll, Sven Arild
Moen, Thomas
Lien, Sigbjørn
Primmer, Craig R.
Barson, Nicola
Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
author_facet Sinclair-Waters, Marion
Ødegård, Jørgen
Korsvoll, Sven Arild
Moen, Thomas
Lien, Sigbjørn
Primmer, Craig R.
Barson, Nicola
author_sort Sinclair-Waters, Marion
title Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
title_short Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
title_full Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
title_fullStr Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
title_full_unstemmed Beyond large-effect loci: Large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
title_sort beyond large-effect loci: large-scale gwas reveals a mixed large-effect and polygenic architecture for age at maturity of atlantic salmon
publishDate 2020
url https://hdl.handle.net/11250/2687260
https://doi.org/10.1186/s12711-020-0529-8
genre Atlantic salmon
genre_facet Atlantic salmon
op_source 1-11
52
Genetics Selection Evolution
1
op_relation Norges forskningsråd: 254852
Genetics Selection Evolution. 2020, 52 (1), 1-11.
urn:issn:0999-193X
https://hdl.handle.net/11250/2687260
https://doi.org/10.1186/s12711-020-0529-8
cristin:1841177
op_rights Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.1186/s12711-020-0529-8
container_title Genetics Selection Evolution
container_volume 52
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