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 J.
Format: Text
Language:English
Published: BioMed Central 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017552/
http://www.ncbi.nlm.nih.gov/pubmed/32050893
https://doi.org/10.1186/s12711-020-0529-8
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7017552 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 J. 2020-02-12 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017552/ http://www.ncbi.nlm.nih.gov/pubmed/32050893 https://doi.org/10.1186/s12711-020-0529-8 en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017552/ http://www.ncbi.nlm.nih.gov/pubmed/32050893 http://dx.doi.org/10.1186/s12711-020-0529-8 © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. CC0 PDM CC-BY Research Article Text 2020 ftpubmed https://doi.org/10.1186/s12711-020-0529-8 2020-02-23T01:26:28Z 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. Text Atlantic salmon PubMed Central (PMC) Genetics Selection Evolution 52 1
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Sinclair-Waters, Marion
Ødegård, Jørgen
Korsvoll, Sven Arild
Moen, Thomas
Lien, Sigbjørn
Primmer, Craig R.
Barson, Nicola J.
Beyond large-effect loci: large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
topic_facet Research Article
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.
format Text
author Sinclair-Waters, Marion
Ødegård, Jørgen
Korsvoll, Sven Arild
Moen, Thomas
Lien, Sigbjørn
Primmer, Craig R.
Barson, Nicola J.
author_facet Sinclair-Waters, Marion
Ødegård, Jørgen
Korsvoll, Sven Arild
Moen, Thomas
Lien, Sigbjørn
Primmer, Craig R.
Barson, Nicola J.
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
publisher BioMed Central
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017552/
http://www.ncbi.nlm.nih.gov/pubmed/32050893
https://doi.org/10.1186/s12711-020-0529-8
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017552/
http://www.ncbi.nlm.nih.gov/pubmed/32050893
http://dx.doi.org/10.1186/s12711-020-0529-8
op_rights © The Author(s) 2020
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
op_rightsnorm CC0
PDM
CC-BY
op_doi https://doi.org/10.1186/s12711-020-0529-8
container_title Genetics Selection Evolution
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