Literature DB >> 27562121

Detection of selection signatures of population-specific genomic regions selected during domestication process in Jinhua pigs.

Zhengcao Li1, Jiucheng Chen1, Zhen Wang2, Yuchun Pan2, Qishan Wang2, Ningying Xu1, Zhengguang Wang3.   

Abstract

Chinese pigs have been undergoing both natural and artificial selection for thousands of years. Jinhua pigs are of great importance, as they can be a valuable model for exploring the genetic mechanisms linked to meat quality and other traits such as disease resistance, reproduction and production. The purpose of this study was to identify distinctive footprints of selection between Jinhua pigs and other breeds utilizing genome-wide SNP data. Genotyping by genome reducing and sequencing was implemented in order to perform cross-population extended haplotype homozygosity to reveal strong signatures of selection for those economically important traits. This work was performed at a 2% genome level, which comprised 152 006 SNPs genotyped in a total of 517 individuals. Population-specific footprints of selective sweeps were searched for in the genome of Jinhua pigs using six native breeds and three European breeds as reference groups. Several candidate genes associated with meat quality, health and reproduction, such as GH1, CRHR2, TRAF4 and CCK, were found to be overlapping with the significantly positive outliers. Additionally, the results revealed that some genomic regions associated with meat quality, immune response and reproduction in Jinhua pigs have evolved directionally under domestication and subsequent selections. The identified genes and biological pathways in Jinhua pigs showed different selection patterns in comparison with the Chinese and European breeds.
© 2016 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  zzm321990QTLzzm321990; Kyoto Encyclopedia of Genes and Genomes pathway; Polygenetic tree; cross population-extended haplotype homozygosity; selective sweep

Mesh:

Year:  2016        PMID: 27562121     DOI: 10.1111/age.12475

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  6 in total

1.  Exploring evidence of positive selection signatures in cattle breeds selected for different traits.

Authors:  Mengistie Taye; Wonseok Lee; Soomin Jeon; Joon Yoon; Tadelle Dessie; Olivier Hanotte; Okeyo Ally Mwai; Stephen Kemp; Seoae Cho; Sung Jong Oh; Hak-Kyo Lee; Heebal Kim
Journal:  Mamm Genome       Date:  2017-09-13       Impact factor: 2.957

2.  Selection signature reveals genes associated with susceptibility loci affecting respiratory disease due to pleiotropic and hitchhiking effect in Chinese indigenous pigs.

Authors:  Zhong Xu; Hao Sun; Zhe Zhang; Cheng-Yue Zhang; Qing-Bo Zhao; Qian Xiao; Babatunde Shittu Olasege; Pei-Pei Ma; Xiang-Zhe Zhang; Qi-Shan Wang; Yu-Chun Pan
Journal:  Asian-Australas J Anim Sci       Date:  2019-02-07       Impact factor: 2.509

3.  Population-specific, recent positive selection signatures in cultivated Cucumis sativus L. (cucumber).

Authors:  Xinrui Lin; Ning Zhang; Hongtao Song; Kui Lin; Erli Pang
Journal:  G3 (Bethesda)       Date:  2022-07-06       Impact factor: 3.542

4.  Genomic analysis reveals genes affecting distinct phenotypes among different Chinese and western pig breeds.

Authors:  Zhe Zhang; Qian Xiao; Qian-Qian Zhang; Hao Sun; Jiu-Cheng Chen; Zheng-Cao Li; Ming Xue; Pei-Pei Ma; Hong-Jie Yang; Ning-Ying Xu; Qi-Shan Wang; Yu-Chun Pan
Journal:  Sci Rep       Date:  2018-09-06       Impact factor: 4.379

5.  Genome-Wide Signatures of Selection Detection in Three South China Indigenous Pigs.

Authors:  Shuqi Diao; Shuwen Huang; Zitao Chen; Jinyan Teng; Yunlong Ma; Xiaolong Yuan; Zanmou Chen; Hao Zhang; Jiaqi Li; Zhe Zhang
Journal:  Genes (Basel)       Date:  2019-05-07       Impact factor: 4.096

6.  Identifying the unique characteristics of the Chinese indigenous pig breeds in the Yangtze River Delta region for precise conservation.

Authors:  Qing-Bo Zhao; Favour Oluwapelumi Oyelami; Qamar Raza Qadri; Hao Sun; Zhong Xu; Qi-Shan Wang; Yu-Chun Pan
Journal:  BMC Genomics       Date:  2021-03-02       Impact factor: 3.969

  6 in total

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