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

Authors :
Xian Qiao
Yu Jiang
Xiaokai Li
Qianjun Zhao
Tao Zhong
Wenting Wan
Hongping Zhang
Wen Wang
Wenguang Zhang
Wei Chen
Yang Dong
Yanjun Zhang
Rui Su
Jinquan Li
Zhiying Wang
Yixing Fan
Ran Di
Huaizhi Jiang
Ruijun Wang
Zhihong Liu
Bin Liu
Yuehui Ma
Source :
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017), Scientific Reports
Publication Year :
2017
Publisher :
Nature Publishing Group, 2017.

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 FST 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.

Details

Language :
English
ISSN :
20452322
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....a5fc53be2c7577b5c30edbed40ebbc33
Full Text :
https://doi.org/10.1038/s41598-017-15516-0