Identification of selection signals by large-scale whole-genome resequencing of cashmere goats

Xiaokai Li, Rui Su, Wenting Wan, Wenguang Zhang, Huaizhi Jiang, Xian Qiao, Yixing Fan, Yanjun Zhang, Ruijun Wang, Zhihong Liu, Zhiying Wang, Bin Liu, Yuehui Ma, Hongping Zhang, Qianjun Zhao, Tao Zhong, Ran Di, Yu Jiang, Wei Chen, Wen WangYang Dong, Jinquan Li

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Inner Mongolia and Liaoning cashmere goats are two outstanding Chinese multipurpose breeds that adapt well to the semi-arid temperate grassland. These two breeds are characterized by their soft cashmere fibers, thus making them great models to identify genomic regions that are associated with cashmere fiber traits. Whole-genome sequencing of 70 cashmere goats produced more than 5.52 million single-nucleotide polymorphisms and 710,600 short insertions and deletions. Further analysis of these genetic variants showed some population-specific molecular markers for the two cashmere goat breeds that are otherwise phenotypically similar. By analyzing F ST and θπ outlier values, we identified 135 genomic regions that were associated with cashmere fiber traits within the cashmere goat populations. These selected genomic regions contained genes, which are potential involved in the production of cashmere fiber, such as FGF5, SGK3, IGFBP7, OXTR, and ROCK1. Gene ontology enrichment analysis of identified short insertions and deletions also showed enrichment in keratinocyte differentiation and epidermal cell differentiation. These findings demonstrate that this genomic resource will facilitate the breeding of cashmere goat and other Capra species in future.

Original languageEnglish
Article number15142
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - 1 Dec 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Identification of selection signals by large-scale whole-genome resequencing of cashmere goats'. Together they form a unique fingerprint.

Cite this