Article Abstract

Volume 33, No. (6), 2023 (December)
GENOME-WIDE ANALYSIS REVEALS THE MOLECULAR BASIS OF GENETIC VARIATION OF IMPORTANT ECONOMIC TRAITS IN CASHMERE GOATS ON QINGHAI-TIBET PLATEAU
dehong tian, kai zhao, Baicheng Zhou, Buying Han, Xue Li, Fei Tian, Delin Qi

d. tian¹, k. zhao²*, B. Zhou³, B. Han⁴, X. Li⁵, F. Tian⁶, D. Qi⁷

¹ Chinese Academy of Sciences,
² Chinese Academy of Sciences,
³ General Station of Animal Husbandry of Qinghai province,
⁴ Chinese Academy of Sciences,
⁵ Chinese Academy of Sciences,
⁶ Chinese Academy of Sciences,
⁷ Qinghai University,

Corresponding Author: zk1101@yeah.net
Page Number(s): 1474-1489
Published Online First: August 22, 2023
Publication Date: December 13, 2023
ABSTRACT

Qaidam Cashmere goat is one of the few animals that can survive in the harsh environment of the Qinghai-Tibet Plateau and the adjacent alpine areas. It has a strong adaptability, thus shaping the genetic diversity of goat phenotype, morphology, physiology and other aspects. However, the molecular basis behind these genetic mechanisms remains unclear. Here, we conducted genome-wide studies of genetic variation in two different morphologies and geographical coordinates in indigenous Chinese goats to identify selective signaling in genomic regions. In the present study, we resequenced 10 high-altitude Chinese indigenous goat breeds and compared them with low-altitude goats.By combining θπ and Fst values, we identified 1277 overlapping selection regions that may contribute to the wool fiber traits, reproductive performance, and high-altitude adaptation of goats.Candidate genes enriched in selected regions are associated with the phenotypes in cashmere fiber traits (IGFBP3, TNF, ROCK1, WNT10B, KITLG), reproduction traits (CAMK2D, IL-18, ESR1, ANAPC13), body size (POMC), hypoxic adaptation (TH, ACER1, GNB1, HIF1A) and disease (IL-10). This study provided valuable genetic information for the basis of biological characteristics and genetic improvement of breeds.

Keywords: cashmere goat, whole-genome resequencing, adaptability, candidate genes

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Journal Impact Factor: 0.5 | (JCR Year: 2025) | Cite Score: 1.3

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Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

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