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Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep
BACKGROUND: One of the approaches to detect genetics variants affecting fitness traits is to identify their surrounding genomic signatures of past selection. With established methods for detecting selection signatures and the current and future availability of large datasets, such studies should hav...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778797/ https://www.ncbi.nlm.nih.gov/pubmed/29357834 http://dx.doi.org/10.1186/s12864-018-4447-x |
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author | Rochus, Christina Marie Tortereau, Flavie Plisson-Petit, Florence Restoux, Gwendal Moreno-Romieux, Carole Tosser-Klopp, Gwenola Servin, Bertrand |
author_facet | Rochus, Christina Marie Tortereau, Flavie Plisson-Petit, Florence Restoux, Gwendal Moreno-Romieux, Carole Tosser-Klopp, Gwenola Servin, Bertrand |
author_sort | Rochus, Christina Marie |
collection | PubMed |
description | BACKGROUND: One of the approaches to detect genetics variants affecting fitness traits is to identify their surrounding genomic signatures of past selection. With established methods for detecting selection signatures and the current and future availability of large datasets, such studies should have the power to not only detect these signatures but also to infer their selective histories. Domesticated animals offer a powerful model for these approaches as they adapted rapidly to environmental and human-mediated constraints in a relatively short time. We investigated this question by studying a large dataset of 542 individuals from 27 domestic sheep populations raised in France, genotyped for more than 500,000 SNPs. RESULTS: Population structure analysis revealed that this set of populations harbour a large part of European sheep diversity in a small geographical area, offering a powerful model for the study of adaptation. Identification of extreme SNP and haplotype frequency differences between populations listed 126 genomic regions likely affected by selection. These signatures revealed selection at loci commonly identified as selection targets in many species (“selection hotspots”) including ABCG2, LCORL/NCAPG, MSTN, and coat colour genes such as ASIP, MC1R, MITF, and TYRP1. For one of these regions (ABCG2, LCORL/NCAPG), we could propose a historical scenario leading to the introgression of an adaptive allele into a new genetic background. Among selection signatures, we found clear evidence for parallel selection events in different genetic backgrounds, most likely for different mutations. We confirmed this allelic heterogeneity in one case by resequencing the MC1R gene in three black-faced breeds. CONCLUSIONS: Our study illustrates how dense genetic data in multiple populations allows the deciphering of evolutionary history of populations and of their adaptive mutations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4447-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5778797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57787972018-01-31 Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep Rochus, Christina Marie Tortereau, Flavie Plisson-Petit, Florence Restoux, Gwendal Moreno-Romieux, Carole Tosser-Klopp, Gwenola Servin, Bertrand BMC Genomics Research Article BACKGROUND: One of the approaches to detect genetics variants affecting fitness traits is to identify their surrounding genomic signatures of past selection. With established methods for detecting selection signatures and the current and future availability of large datasets, such studies should have the power to not only detect these signatures but also to infer their selective histories. Domesticated animals offer a powerful model for these approaches as they adapted rapidly to environmental and human-mediated constraints in a relatively short time. We investigated this question by studying a large dataset of 542 individuals from 27 domestic sheep populations raised in France, genotyped for more than 500,000 SNPs. RESULTS: Population structure analysis revealed that this set of populations harbour a large part of European sheep diversity in a small geographical area, offering a powerful model for the study of adaptation. Identification of extreme SNP and haplotype frequency differences between populations listed 126 genomic regions likely affected by selection. These signatures revealed selection at loci commonly identified as selection targets in many species (“selection hotspots”) including ABCG2, LCORL/NCAPG, MSTN, and coat colour genes such as ASIP, MC1R, MITF, and TYRP1. For one of these regions (ABCG2, LCORL/NCAPG), we could propose a historical scenario leading to the introgression of an adaptive allele into a new genetic background. Among selection signatures, we found clear evidence for parallel selection events in different genetic backgrounds, most likely for different mutations. We confirmed this allelic heterogeneity in one case by resequencing the MC1R gene in three black-faced breeds. CONCLUSIONS: Our study illustrates how dense genetic data in multiple populations allows the deciphering of evolutionary history of populations and of their adaptive mutations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4447-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-23 /pmc/articles/PMC5778797/ /pubmed/29357834 http://dx.doi.org/10.1186/s12864-018-4447-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Rochus, Christina Marie Tortereau, Flavie Plisson-Petit, Florence Restoux, Gwendal Moreno-Romieux, Carole Tosser-Klopp, Gwenola Servin, Bertrand Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
title | Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
title_full | Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
title_fullStr | Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
title_full_unstemmed | Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
title_short | Revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
title_sort | revealing the selection history of adaptive loci using genome-wide scans for selection: an example from domestic sheep |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778797/ https://www.ncbi.nlm.nih.gov/pubmed/29357834 http://dx.doi.org/10.1186/s12864-018-4447-x |
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