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Artificial selection footprints in indigenous and commercial chicken genomes.
Wu, Siwen; Dou, Tengfei; Wang, Kun; Yuan, Sisi; Yan, Shixiong; Xu, Zhiqiang; Liu, Yong; Jian, Zonghui; Zhao, Jingying; Zhao, Rouhan; Wu, Hao; Gu, Dahai; Liu, Lixian; Li, Qihua; Wu, Dong-Dong; Ge, Changrong; Su, Zhengchang; Jia, Junjing.
Afiliação
  • Wu S; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
  • Dou T; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Wang K; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Yuan S; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
  • Yan S; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Xu Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Liu Y; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Jian Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Zhao J; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Zhao R; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Wu H; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Gu D; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Liu L; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Li Q; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
  • Wu DD; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
  • Ge C; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
  • Su Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China. gcrzal@126.com.
  • Jia J; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA. zcsu@uncc.edu.
BMC Genomics ; 25(1): 428, 2024 Apr 30.
Article em En | MEDLINE | ID: mdl-38689225
ABSTRACT

BACKGROUND:

Although many studies have been done to reveal artificial selection signatures in commercial and indigenous chickens, a limited number of genes have been linked to specific traits. To identify more trait-related artificial selection signatures and genes, we re-sequenced a total of 85 individuals of five indigenous chicken breeds with distinct traits from Yunnan Province, China.

RESULTS:

We found 30 million non-redundant single nucleotide variants and small indels (< 50 bp) in the indigenous chickens, of which 10 million were not seen in 60 broilers, 56 layers and 35 red jungle fowls (RJFs) that we compared with. The variants in each breed are enriched in non-coding regions, while those in coding regions are largely tolerant, suggesting that most variants might affect cis-regulatory sequences. Based on 27 million bi-allelic single nucleotide polymorphisms identified in the chickens, we found numerous selective sweeps and affected genes in each indigenous chicken breed and substantially larger numbers of selective sweeps and affected genes in the broilers and layers than previously reported using a rigorous statistical model. Consistent with the locations of the variants, the vast majority (~ 98.3%) of the identified selective sweeps overlap known quantitative trait loci (QTLs). Meanwhile, 74.2% known QTLs overlap our identified selective sweeps. We confirmed most of previously identified trait-related genes and identified many novel ones, some of which might be related to body size and high egg production traits. Using RT-qPCR, we validated differential expression of eight genes (GHR, GHRHR, IGF2BP1, OVALX, ELF2, MGARP, NOCT, SLC25A15) that might be related to body size and high egg production traits in relevant tissues of relevant breeds.

CONCLUSION:

We identify 30 million single nucleotide variants and small indels in the five indigenous chicken breeds, 10 million of which are novel. We predict substantially more selective sweeps and affected genes than previously reported in both indigenous and commercial breeds. These variants and affected genes are good candidates for further experimental investigations of genotype-phenotype relationships and practical applications in chicken breeding programs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Seleção Genética / Galinhas / Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Limite: Animals Idioma: En Revista: BMC Genomics Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Seleção Genética / Galinhas / Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Limite: Animals Idioma: En Revista: BMC Genomics Ano de publicação: 2024 Tipo de documento: Article