Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon

Understanding the relationship between genetic variants and traits of economic importance in aquaculture species is pertinent to selective breeding programmes. High-throughput sequencing technologies have enabled the discovery of large numbers of SNPs in Atlantic salmon, and high density SNP arrays...

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Published in:International Journal of Molecular Sciences
Main Authors: Hsin Y. Tsai, Alastair Hamilton, Derrick R. Guy, Alan E. Tinch, Steve C. Bishop, Ross D. Houston
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2015
Subjects:
MAS
SNP
Online Access:https://doi.org/10.3390/ijms17010005
https://doaj.org/article/3d99c4805bc145cab8f981281fbc37e8
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spelling ftdoajarticles:oai:doaj.org/article:3d99c4805bc145cab8f981281fbc37e8 2023-05-15T15:29:57+02:00 Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon Hsin Y. Tsai Alastair Hamilton Derrick R. Guy Alan E. Tinch Steve C. Bishop Ross D. Houston 2015-12-01T00:00:00Z https://doi.org/10.3390/ijms17010005 https://doaj.org/article/3d99c4805bc145cab8f981281fbc37e8 EN eng MDPI AG http://www.mdpi.com/1422-0067/17/1/5 https://doaj.org/toc/1422-0067 1422-0067 doi:10.3390/ijms17010005 https://doaj.org/article/3d99c4805bc145cab8f981281fbc37e8 International Journal of Molecular Sciences, Vol 17, Iss 1, p 5 (2015) Atlantic salmon growth GWAS marker-assisted selection MAS SNP PCNT MEP1A Biology (General) QH301-705.5 Chemistry QD1-999 article 2015 ftdoajarticles https://doi.org/10.3390/ijms17010005 2022-12-31T07:06:48Z Understanding the relationship between genetic variants and traits of economic importance in aquaculture species is pertinent to selective breeding programmes. High-throughput sequencing technologies have enabled the discovery of large numbers of SNPs in Atlantic salmon, and high density SNP arrays now exist. A previous genome-wide association study (GWAS) using a high density SNP array (132K SNPs) has revealed the polygenic nature of early growth traits in salmon, but has also identified candidate SNPs showing suggestive associations with these traits. The aim of this study was to test the association of the candidate growth-associated SNPs in a separate population of farmed Atlantic salmon to verify their effects. Identifying SNP-trait associations in two populations provides evidence that the associations are true and robust. Using a large cohort (N = 1152), we successfully genotyped eight candidate SNPs from the previous GWAS, two of which were significantly associated with several growth and fillet traits measured at harvest. The genes proximal to these SNPs were identified by alignment to the salmon reference genome and are discussed in the context of their potential role in underpinning genetic variation in salmon growth. Article in Journal/Newspaper Atlantic salmon Directory of Open Access Journals: DOAJ Articles International Journal of Molecular Sciences 17 1 5
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Atlantic salmon
growth
GWAS
marker-assisted selection
MAS
SNP
PCNT
MEP1A
Biology (General)
QH301-705.5
Chemistry
QD1-999
spellingShingle Atlantic salmon
growth
GWAS
marker-assisted selection
MAS
SNP
PCNT
MEP1A
Biology (General)
QH301-705.5
Chemistry
QD1-999
Hsin Y. Tsai
Alastair Hamilton
Derrick R. Guy
Alan E. Tinch
Steve C. Bishop
Ross D. Houston
Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon
topic_facet Atlantic salmon
growth
GWAS
marker-assisted selection
MAS
SNP
PCNT
MEP1A
Biology (General)
QH301-705.5
Chemistry
QD1-999
description Understanding the relationship between genetic variants and traits of economic importance in aquaculture species is pertinent to selective breeding programmes. High-throughput sequencing technologies have enabled the discovery of large numbers of SNPs in Atlantic salmon, and high density SNP arrays now exist. A previous genome-wide association study (GWAS) using a high density SNP array (132K SNPs) has revealed the polygenic nature of early growth traits in salmon, but has also identified candidate SNPs showing suggestive associations with these traits. The aim of this study was to test the association of the candidate growth-associated SNPs in a separate population of farmed Atlantic salmon to verify their effects. Identifying SNP-trait associations in two populations provides evidence that the associations are true and robust. Using a large cohort (N = 1152), we successfully genotyped eight candidate SNPs from the previous GWAS, two of which were significantly associated with several growth and fillet traits measured at harvest. The genes proximal to these SNPs were identified by alignment to the salmon reference genome and are discussed in the context of their potential role in underpinning genetic variation in salmon growth.
format Article in Journal/Newspaper
author Hsin Y. Tsai
Alastair Hamilton
Derrick R. Guy
Alan E. Tinch
Steve C. Bishop
Ross D. Houston
author_facet Hsin Y. Tsai
Alastair Hamilton
Derrick R. Guy
Alan E. Tinch
Steve C. Bishop
Ross D. Houston
author_sort Hsin Y. Tsai
title Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon
title_short Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon
title_full Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon
title_fullStr Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon
title_full_unstemmed Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon
title_sort verification of snps associated with growth traits in two populations of farmed atlantic salmon
publisher MDPI AG
publishDate 2015
url https://doi.org/10.3390/ijms17010005
https://doaj.org/article/3d99c4805bc145cab8f981281fbc37e8
genre Atlantic salmon
genre_facet Atlantic salmon
op_source International Journal of Molecular Sciences, Vol 17, Iss 1, p 5 (2015)
op_relation http://www.mdpi.com/1422-0067/17/1/5
https://doaj.org/toc/1422-0067
1422-0067
doi:10.3390/ijms17010005
https://doaj.org/article/3d99c4805bc145cab8f981281fbc37e8
op_doi https://doi.org/10.3390/ijms17010005
container_title International Journal of Molecular Sciences
container_volume 17
container_issue 1
container_start_page 5
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