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Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data

Following chicken domestication, diversified chicken breeds were developed by both natural and artificial selection, which led to the accumulation of abundant genetic and phenotypic variations, making chickens an ideal genetic research model. To better understand the genetic structure of chicken bre...

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Autores principales: Zhang, Jinxin, Nie, Changsheng, Li, Xinghua, Ning, Zhonghua, Chen, Yu, Jia, Yaxiong, Han, Jianlin, Wang, Liang, Lv, Xueze, Yang, Weifang, Qu, Lujiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545075/
https://www.ncbi.nlm.nih.gov/pubmed/33101376
http://dx.doi.org/10.3389/fgene.2020.543294
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author Zhang, Jinxin
Nie, Changsheng
Li, Xinghua
Ning, Zhonghua
Chen, Yu
Jia, Yaxiong
Han, Jianlin
Wang, Liang
Lv, Xueze
Yang, Weifang
Qu, Lujiang
author_facet Zhang, Jinxin
Nie, Changsheng
Li, Xinghua
Ning, Zhonghua
Chen, Yu
Jia, Yaxiong
Han, Jianlin
Wang, Liang
Lv, Xueze
Yang, Weifang
Qu, Lujiang
author_sort Zhang, Jinxin
collection PubMed
description Following chicken domestication, diversified chicken breeds were developed by both natural and artificial selection, which led to the accumulation of abundant genetic and phenotypic variations, making chickens an ideal genetic research model. To better understand the genetic structure of chicken breeds under different selection pressures, we genotyped various chicken populations with specific selection targets, including indigenous, commercial, gamecock, and wild ancestral chickens, using the 600K SNP array. We analyzed the population structure, genetic relationships, run of homozygosity (ROH), effective population number (Ne), and other genetic parameters. The wild ancestral population, red junglefowl (RJF), possessed the highest diversity, in comparison with all other domesticated populations, which was supported by linkage disequilibrium decay (LD), effective population number, and ROH analyses. The gamecock breeds, which were subjected to stronger male-biased selection for fighting-related traits, also presented higher variation than the commercial and indigenous breeds. Admixture analysis also indicated that game breed is a relatively independent branch of Chinese local breeds. Following intense selection for reproductive and productive traits, the commercial lines showed the least diversity. We also observed that the European local chickens had lower genetic variation than the Chinese local breeds, which could be attributed to the shorter history of the European breed. ROH were present in a breed specific manner and 191 ROH island were detected on four groups (commercial, local, game and wild chickens). These ROH islands were involved in egg production, growth and silky feathers and other traits. Moreover, we estimated the effective sex ratio of these breeds to demonstrate the change in the ratio of the two sexes. We found that commercial chickens had a greater sex imbalance between females and males. The commercial lines showed the highest female-to-male ratios. Interestingly, RJF comprised a greater proportion of males than females. Our results show the population genetics of chickens under selection pressures, and can aid in the development of better conservation strategies for different chicken breeds.
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spelling pubmed-75450752020-10-22 Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data Zhang, Jinxin Nie, Changsheng Li, Xinghua Ning, Zhonghua Chen, Yu Jia, Yaxiong Han, Jianlin Wang, Liang Lv, Xueze Yang, Weifang Qu, Lujiang Front Genet Genetics Following chicken domestication, diversified chicken breeds were developed by both natural and artificial selection, which led to the accumulation of abundant genetic and phenotypic variations, making chickens an ideal genetic research model. To better understand the genetic structure of chicken breeds under different selection pressures, we genotyped various chicken populations with specific selection targets, including indigenous, commercial, gamecock, and wild ancestral chickens, using the 600K SNP array. We analyzed the population structure, genetic relationships, run of homozygosity (ROH), effective population number (Ne), and other genetic parameters. The wild ancestral population, red junglefowl (RJF), possessed the highest diversity, in comparison with all other domesticated populations, which was supported by linkage disequilibrium decay (LD), effective population number, and ROH analyses. The gamecock breeds, which were subjected to stronger male-biased selection for fighting-related traits, also presented higher variation than the commercial and indigenous breeds. Admixture analysis also indicated that game breed is a relatively independent branch of Chinese local breeds. Following intense selection for reproductive and productive traits, the commercial lines showed the least diversity. We also observed that the European local chickens had lower genetic variation than the Chinese local breeds, which could be attributed to the shorter history of the European breed. ROH were present in a breed specific manner and 191 ROH island were detected on four groups (commercial, local, game and wild chickens). These ROH islands were involved in egg production, growth and silky feathers and other traits. Moreover, we estimated the effective sex ratio of these breeds to demonstrate the change in the ratio of the two sexes. We found that commercial chickens had a greater sex imbalance between females and males. The commercial lines showed the highest female-to-male ratios. Interestingly, RJF comprised a greater proportion of males than females. Our results show the population genetics of chickens under selection pressures, and can aid in the development of better conservation strategies for different chicken breeds. Frontiers Media S.A. 2020-09-25 /pmc/articles/PMC7545075/ /pubmed/33101376 http://dx.doi.org/10.3389/fgene.2020.543294 Text en Copyright © 2020 Zhang, Nie, Li, Ning, Chen, Jia, Han, Wang, Lv, Yang and Qu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhang, Jinxin
Nie, Changsheng
Li, Xinghua
Ning, Zhonghua
Chen, Yu
Jia, Yaxiong
Han, Jianlin
Wang, Liang
Lv, Xueze
Yang, Weifang
Qu, Lujiang
Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data
title Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data
title_full Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data
title_fullStr Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data
title_full_unstemmed Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data
title_short Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data
title_sort genome-wide population genetic analysis of commercial, indigenous, game, and wild chickens using 600k snp microarray data
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545075/
https://www.ncbi.nlm.nih.gov/pubmed/33101376
http://dx.doi.org/10.3389/fgene.2020.543294
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