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Genomic analyses reveal distinct genetic architectures and selective pressures in Chinese donkeys

本站小编 Free考研考试/2022-01-01

Jiafei Shen,
Jie Yu,
Xuelei Dai,
Mei Li,
Gang Wang,
Ningbo Chen,
Hong Chen,
Chuzhao Lei,
Ruihua Dang
Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
Funds: We would like to thank High-Performance Computing (HPC) of Northwest A&F University (NWAFU) for providing computing resources. We are much obliged to Chuzhao Lei for the sample collection. This work was supported by the Key Research & Development Plan of Shaanxi Province of China (2020NY-002), Dong-E-EJiao Co. Ltd (20191001), and the National Natural Science Foundation of China (81770514).

Received Date: 2020-11-24
Accepted Date:2021-05-10
Rev Recd Date:2021-05-09
Publish Date:2021-08-20




Abstract
Donkey (Equus asinus) is an important livestock animal in China because of its draft and medicinal value. After a long period of natural and artificial selection, the variety and phenotype of donkeys have become abundant. We clarified the genetic and demographic characteristics of Chinese domestic donkeys and the selection pressures by analyzing 78 whole genomes from 12 breeds. According to population structure, most Chinese domestic donkeys showed a dominant ancestral type. However, the Chinese donkeys still represented a significant geographical distribution trend. In the selective sweep, gene annotation, functional enrichment, and differential expression analyses between large and small donkey groups, we identified selective signals, including NCAPG and LCORL, which are related to rapid growth and large body size. Our findings elucidate the evolutionary history and formation of different donkey breeds and provide theoretical insights into the genetic mechanism underlying breed characteristics and molecular breeding programs of donkey clades.
Keywords: Donkey,
Whole-genome resequencing,
NCAPG,
LCORL



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http://www.jgenetgenomics.org/article/exportPdf?id=6b98abb2-6345-4e0a-a4e4-f9950b2f15b1&language=en
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