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

Abstract 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 surv...

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Main Authors: Marion Sinclair-Waters, Jørgen Ødegård, Sven Arild Korsvoll, Thomas Moen, Sigbjørn Lien, Craig R. Primmer, Nicola J. Barson
Format: Article
Language:deu
Published: BMC 2020-02-01
Series:Genetics Selection Evolution
Online Access:https://doi.org/10.1186/s12711-020-0529-8
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spelling doaj-2fab92c98fed4810990bf129cf4804072021-02-14T12:19:59ZdeuBMCGenetics Selection Evolution1297-96862020-02-0152111110.1186/s12711-020-0529-8Beyond large-effect loci: large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmonMarion Sinclair-Waters0Jørgen Ødegård1Sven Arild Korsvoll2Thomas Moen3Sigbjørn Lien4Craig R. Primmer5Nicola J. Barson6Organismal and Evolutionary Biology Research Programme, University of HelsinkiAquaGenAquaGenAquaGenCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesOrganismal and Evolutionary Biology Research Programme, University of HelsinkiCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesAbstract 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.https://doi.org/10.1186/s12711-020-0529-8
collection DOAJ
language deu
format Article
sources DOAJ
author Marion Sinclair-Waters
Jørgen Ødegård
Sven Arild Korsvoll
Thomas Moen
Sigbjørn Lien
Craig R. Primmer
Nicola J. Barson
spellingShingle Marion Sinclair-Waters
Jørgen Ødegård
Sven Arild Korsvoll
Thomas Moen
Sigbjørn Lien
Craig R. Primmer
Nicola J. Barson
Beyond large-effect loci: large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon
Genetics Selection Evolution
author_facet Marion Sinclair-Waters
Jørgen Ødegård
Sven Arild Korsvoll
Thomas Moen
Sigbjørn Lien
Craig R. Primmer
Nicola J. Barson
author_sort Marion Sinclair-Waters
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 BMC
series Genetics Selection Evolution
issn 1297-9686
publishDate 2020-02-01
description Abstract 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.
url https://doi.org/10.1186/s12711-020-0529-8
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