数字农科院2.0

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

文献类型： 外文期刊

作者： Niu, Yinan;Li, Yefang;Zhao, Yuhetian;He, Xiaohong;Zhao, Qianjun;Pu, Yabin;Ma, Yuehui;Jiang, Lin

作者机构：

关键词： Whole-genome sequencing;Local adaptation;PAPSS2;RXFP2;Missense variant

期刊名称： JOURNAL OF GENETICS AND GENOMICS

ISSN： 1673-8527

年卷期： 2024 年 51 卷 11 期

页码：

收录情况： SCIE（2024版） ; ; CSCD（2023-2024年度） ; ; 科技核心（2024版）

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.

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