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Population structure and selective signature of Kirghiz sheep by Illumina Ovine SNP50 BeadChip.
Yang, Ruizhi; Han, Zhipeng; Zhou, Wen; Li, Xuejiao; Zhang, Xuechen; Zhu, Lijun; Wang, Jieru; Li, Xiaopeng; Zhang, Cheng-Long; Han, Yahui; Li, Lianrui; Liu, Shudong.
Affiliation
  • Yang R; College of Life Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Han Z; College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Zhou W; Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China.
  • Li X; College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Zhang X; Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China.
  • Zhu L; College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Wang J; College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Li X; Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China.
  • Zhang CL; College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Han Y; Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China.
  • Li L; College of Life Science and Technology, Tarim University, Alar, Xinjiang, China.
  • Liu S; College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
PeerJ ; 12: e17980, 2024.
Article in En | MEDLINE | ID: mdl-39308831
ABSTRACT

Objective:

By assessing the genetic diversity and associated selective traits of Kirghiz sheep (KIR), we aim to uncover the mechanisms that contribute to sheep's adaptability to the Pamir Plateau environment.

Methods:

This study utilized Illumina Ovine SNP50 BeadChip data from KIR residing in the Pamir Plateau, Qira Black sheep (QBS) inhabiting the Taklamakan Desert, and commonly introduced breeds including Dorper sheep (DOR), Suffolk sheep (SUF), and Hu sheep (HU). The data was analyzed using principal component analysis, phylogenetic analysis, population admixture analysis, kinship matrix analysis, linkage disequilibrium analysis, and selective signature analysis. We employed four methods for selective signature

analysis:

fixation index (Fst), cross-population extended homozygosity (XP-EHH), integrated haplotype score (iHS), and nucleotide diversity (Pi). These methods aim to uncover the genetic mechanisms underlying the germplasm resources of Kirghiz sheep, enhance their production traits, and explore their adaptation to challenging environmental conditions.

Results:

The test results unveiled potential selective signals associated with adaptive traits and growth characteristics in sheep under harsh environmental conditions, and annotated the corresponding genes accordingly. These genes encompass various functionalities such as adaptations associated with plateau, cold, and arid environment (ETAA1, UBE3D, TLE4, NXPH1, MAT2B, PPARGC1A, VEGFA, TBX15 and PLXNA4), wool traits (LMO3, TRPS1, EPHA5), body size traits (PLXNA2, EFNA5), reproductive traits (PPP3CA, PDHA2, NTRK2), and immunity (GATA3).

Conclusion:

Our study identified candidate genes associated with the production traits and adaptation to the harsh environment of the Pamir Plateau in Kirghiz sheep. These findings provide valuable resources for local sheep breeding programs. The objective of this study is to offer valuable insights for the sustainable development of the Kirghiz sheep industry.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Polymorphism, Single Nucleotide Limits: Animals Language: En Journal: PeerJ Year: 2024 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Polymorphism, Single Nucleotide Limits: Animals Language: En Journal: PeerJ Year: 2024 Document type: Article Affiliation country: China Country of publication: United States