Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres
Domestication of Atlantic salmon started approximately 40 years ago, using artificial selection through genetic improvement programs. Selection is likely to have imposed distinctive signatures on the salmon genome, which are often characterized by high genetic differentiation across population and/o...
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ftdoajarticles:oai:doaj.org/article:29269e7a95714927967a2dc594028631 2023-05-15T15:28:16+02:00 Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres María Eugenia López Tyler Linderoth Ashie Norris Jean Paul Lhorente Roberto Neira José Manuel Yáñez 2019-10-01T00:00:00Z https://doi.org/10.3389/fgene.2019.00901 https://doaj.org/article/29269e7a95714927967a2dc594028631 EN eng Frontiers Media S.A. https://www.frontiersin.org/article/10.3389/fgene.2019.00901/full https://doaj.org/toc/1664-8021 1664-8021 doi:10.3389/fgene.2019.00901 https://doaj.org/article/29269e7a95714927967a2dc594028631 Frontiers in Genetics, Vol 10 (2019) selection signatures Salmo salar Domestication SNP data artificial selection Genetics QH426-470 article 2019 ftdoajarticles https://doi.org/10.3389/fgene.2019.00901 2022-12-30T21:54:52Z Domestication of Atlantic salmon started approximately 40 years ago, using artificial selection through genetic improvement programs. Selection is likely to have imposed distinctive signatures on the salmon genome, which are often characterized by high genetic differentiation across population and/or reduction in genetic diversity in regions associated to traits under selection. The identification of such selection signatures may give insights into the candidate genomic regions of biological and commercial interest. Here, we used three complementary statistics to detect selection signatures, two haplotype-based (iHS and XP-EHH), and one FST-based method (BayeScan) among four populations of Atlantic salmon with a common genetic origin. Several regions were identified for these techniques that harbored genes, such as kind1 and chp2, which have been associated with growth-related traits or the kcnb2 gene related to immune system in Atlantic salmon, making them particularly relevant in the context of aquaculture. Our results provide candidate genes to inform the evolutionary and biological mechanisms controlling complex selected traits in Atlantic salmon. Article in Journal/Newspaper Atlantic salmon Salmo salar Directory of Open Access Journals: DOAJ Articles Frontiers in Genetics 10 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
selection signatures Salmo salar Domestication SNP data artificial selection Genetics QH426-470 |
spellingShingle |
selection signatures Salmo salar Domestication SNP data artificial selection Genetics QH426-470 María Eugenia López Tyler Linderoth Ashie Norris Jean Paul Lhorente Roberto Neira José Manuel Yáñez Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres |
topic_facet |
selection signatures Salmo salar Domestication SNP data artificial selection Genetics QH426-470 |
description |
Domestication of Atlantic salmon started approximately 40 years ago, using artificial selection through genetic improvement programs. Selection is likely to have imposed distinctive signatures on the salmon genome, which are often characterized by high genetic differentiation across population and/or reduction in genetic diversity in regions associated to traits under selection. The identification of such selection signatures may give insights into the candidate genomic regions of biological and commercial interest. Here, we used three complementary statistics to detect selection signatures, two haplotype-based (iHS and XP-EHH), and one FST-based method (BayeScan) among four populations of Atlantic salmon with a common genetic origin. Several regions were identified for these techniques that harbored genes, such as kind1 and chp2, which have been associated with growth-related traits or the kcnb2 gene related to immune system in Atlantic salmon, making them particularly relevant in the context of aquaculture. Our results provide candidate genes to inform the evolutionary and biological mechanisms controlling complex selected traits in Atlantic salmon. |
format |
Article in Journal/Newspaper |
author |
María Eugenia López Tyler Linderoth Ashie Norris Jean Paul Lhorente Roberto Neira José Manuel Yáñez |
author_facet |
María Eugenia López Tyler Linderoth Ashie Norris Jean Paul Lhorente Roberto Neira José Manuel Yáñez |
author_sort |
María Eugenia López |
title |
Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres |
title_short |
Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres |
title_full |
Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres |
title_fullStr |
Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres |
title_full_unstemmed |
Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres |
title_sort |
multiple selection signatures in farmed atlantic salmon adapted to different environments across hemispheres |
publisher |
Frontiers Media S.A. |
publishDate |
2019 |
url |
https://doi.org/10.3389/fgene.2019.00901 https://doaj.org/article/29269e7a95714927967a2dc594028631 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Frontiers in Genetics, Vol 10 (2019) |
op_relation |
https://www.frontiersin.org/article/10.3389/fgene.2019.00901/full https://doaj.org/toc/1664-8021 1664-8021 doi:10.3389/fgene.2019.00901 https://doaj.org/article/29269e7a95714927967a2dc594028631 |
op_doi |
https://doi.org/10.3389/fgene.2019.00901 |
container_title |
Frontiers in Genetics |
container_volume |
10 |
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1766358643657146368 |