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Genetic Structure and Selective Signature Analysis of Xinjiang Local Sheep Populations.
Chunyan Luo1, Marzia Yasen1, Feng Bai1
1Key Laboratory of Livestock and Poultry Resources (Sheep) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Xinjiang Uygur Autonomous Region Academy of Animal Sciences, Urumqi 830011, China.
This study reveals the genetic diversity and population structure of Xinjiang sheep breeds. It identifies specific genes responsible for adaptations to high-altitude and heat stress, and for body size traits.
Area of Science:
- Genomics
- Animal Genetics
- Evolutionary Biology
Background:
- Xinjiang's diverse environments harbor unique sheep genetic resources.
- Understanding population structure and adaptive mechanisms is crucial for conservation and breeding.
Purpose of the Study:
- To investigate the population genetic structure of seven indigenous Xinjiang sheep breeds.
- To identify genes and pathways underlying adaptation to extreme environments (high-altitude, heat stress).
- To uncover the genetic basis of economically important traits like body size.
Main Methods:
- Whole-genome resequencing of 140 sheep individuals.
- Identification of over 18.7 million high-quality single nucleotide polymorphisms (SNPs).
- Application of population genetics analyses and selection signature detection methods (F_ST, π ratio, XP-CLR).
Main Results:
- All populations showed comparable genetic diversity, with variations across breeds.
- Geographic isolation primarily drives genetic differentiation, with Kirgiz sheep most distinct.
- Identified genes under selection related to high-altitude adaptation (Kirgiz) and heat stress tolerance (Turpan Black).
- Discovered candidate genes (e.g., CUX1, KIT) influencing body size through regulatory networks.
Conclusions:
- Provides a comprehensive genomic framework for Xinjiang sheep breeds.
- Elucidates genetic adaptations to extreme environments and the basis of economic traits.
- Offers valuable genetic targets for future sheep breeding programs and functional studies.
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