Whole-genome sequencing identifies functional genes for environmental adaptation in Chinese sheep

被引:0
|
作者
Niu, Yinan [1 ,2 ]
Li, Yefang [1 ,2 ]
Zhao, Yuhetian [1 ,2 ]
He, Xiaohong [1 ,2 ]
Zhao, Qianjun [1 ,2 ]
Pu, Yabin [1 ,2 ]
Ma, Yuehui [1 ,2 ]
Jiang, Lin [1 ,2 ]
机构
[1] Chinese Acad Agr Sci CAAS, Inst Anim Sci, State Key Lab Anim Biotech Breeding, Beijing 100193, Peoples R China
[2] Chinese Acad Agr Sci CAAS, Natl Germplasm Ctr Domest Anim Resources, Inst Anim Sci, Minist Technol, Beijing 100193, Peoples R China
基金
中国国家自然科学基金;
关键词
Whole-genome sequencing; Local adaptation; PAPSS2; RXFP2; Missense variant; INTROGRESSION; FORMAT;
D O I
10.1016/j.jgg.2024.08.011
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Sheep (Ovis aries), among the first domesticated species, are now globally widespread and exhibit remarkable adaptability to diverse environments. In this study, we perform whole-genome sequencing of 266 animals from 18 distinct Chinese sheep populations, each displaying unique phenotypes indicative of adaptation to varying environmental conditions. Integrating 131 environmental factors with single nucleotide polymorphism variations, we conduct a comprehensive genetic-environmental association analysis. This analysis identifies 35 key genes likely integral to the environmental adaptation of sheep. The functions of these genes include fat tail formation (HOXA10, HOXA11, JAZF1), wool characteristics (FER, FGF5, MITF, PDE4B), horn phenotypes (RXFP2), reproduction (HIBADH, TRIM71, C6H4orf22), and growth traits (ADGRL3, TRHDE). Notably, we observe a significant correlation between the frequency of missense mutations in the PAPSS2 and RXFP2 genes and variations in altitude. Our study reveals candidate genes for adaptive variation in sheep and demonstrates the diversity in how sheep adapt to their environment. Copyright (c) 2024, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:1278 / 1285
页数:8
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