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Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds

Identifying genomics regions that are affected by selection is important to understand the domestication and selection history of the domesticated chicken, as well as understanding molecular pathways underlying phenotypic traits and breeding goals. While whole-genome approaches, either high-density...

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Autores principales: Elferink, Martin G., Megens, Hendrik-Jan, Vereijken, Addie, Hu, Xiaoxiang, Crooijmans, Richard P. M. A., Groenen, Martien A. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287981/
https://www.ncbi.nlm.nih.gov/pubmed/22384281
http://dx.doi.org/10.1371/journal.pone.0032720
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author Elferink, Martin G.
Megens, Hendrik-Jan
Vereijken, Addie
Hu, Xiaoxiang
Crooijmans, Richard P. M. A.
Groenen, Martien A. M.
author_facet Elferink, Martin G.
Megens, Hendrik-Jan
Vereijken, Addie
Hu, Xiaoxiang
Crooijmans, Richard P. M. A.
Groenen, Martien A. M.
author_sort Elferink, Martin G.
collection PubMed
description Identifying genomics regions that are affected by selection is important to understand the domestication and selection history of the domesticated chicken, as well as understanding molecular pathways underlying phenotypic traits and breeding goals. While whole-genome approaches, either high-density SNP chips or massively parallel sequencing, have been successfully applied to identify evidence for selective sweeps in chicken, it has been difficult to distinguish patterns of selection and stochastic and breed specific effects. Here we present a study to identify selective sweeps in a large number of chicken breeds (67 in total) using a high-density (58 K) SNP chip. We analyzed commercial chickens representing all major breeding goals. In addition, we analyzed non-commercial chicken diversity for almost all recognized traditional Dutch breeds and a selection of representative breeds from China. Based on their shared history or breeding goal we in silico grouped the breeds into 14 breed groups. We identified 396 chromosomal regions that show suggestive evidence of selection in at least one breed group with 26 of these regions showing strong evidence of selection. Of these 26 regions, 13 were previously described and 13 yield new candidate genes for performance traits in chicken. Our approach demonstrates the strength of including many different populations with similar, and breed groups with different selection histories to reduce stochastic effects based on single populations.
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spelling pubmed-32879812012-03-01 Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds Elferink, Martin G. Megens, Hendrik-Jan Vereijken, Addie Hu, Xiaoxiang Crooijmans, Richard P. M. A. Groenen, Martien A. M. PLoS One Research Article Identifying genomics regions that are affected by selection is important to understand the domestication and selection history of the domesticated chicken, as well as understanding molecular pathways underlying phenotypic traits and breeding goals. While whole-genome approaches, either high-density SNP chips or massively parallel sequencing, have been successfully applied to identify evidence for selective sweeps in chicken, it has been difficult to distinguish patterns of selection and stochastic and breed specific effects. Here we present a study to identify selective sweeps in a large number of chicken breeds (67 in total) using a high-density (58 K) SNP chip. We analyzed commercial chickens representing all major breeding goals. In addition, we analyzed non-commercial chicken diversity for almost all recognized traditional Dutch breeds and a selection of representative breeds from China. Based on their shared history or breeding goal we in silico grouped the breeds into 14 breed groups. We identified 396 chromosomal regions that show suggestive evidence of selection in at least one breed group with 26 of these regions showing strong evidence of selection. Of these 26 regions, 13 were previously described and 13 yield new candidate genes for performance traits in chicken. Our approach demonstrates the strength of including many different populations with similar, and breed groups with different selection histories to reduce stochastic effects based on single populations. Public Library of Science 2012-02-27 /pmc/articles/PMC3287981/ /pubmed/22384281 http://dx.doi.org/10.1371/journal.pone.0032720 Text en Elferink et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Elferink, Martin G.
Megens, Hendrik-Jan
Vereijken, Addie
Hu, Xiaoxiang
Crooijmans, Richard P. M. A.
Groenen, Martien A. M.
Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds
title Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds
title_full Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds
title_fullStr Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds
title_full_unstemmed Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds
title_short Signatures of Selection in the Genomes of Commercial and Non-Commercial Chicken Breeds
title_sort signatures of selection in the genomes of commercial and non-commercial chicken breeds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287981/
https://www.ncbi.nlm.nih.gov/pubmed/22384281
http://dx.doi.org/10.1371/journal.pone.0032720
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