Journal of Integrative Agriculture
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2026, 25(10): 4284-4302
• Animal Science · Veterinary Medicine •
Whole-genome resequencing of 391 Chinese donkeys reveals population structure and provides insights into their morphological and adaptive traits
Full
Ge Yang1*, Yujiang Sun2*, Zhaofei Wang1, Cong Li1, Xiangqin Zhai1, Jiaqiang Zhang1, Halima Jafari1, Gang Ren1, Chuzhao Lei1, Ruihua Dang1#, Shuqin Liu2#
Affiliations
1Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
2College of Animal Science and Technology, Qingdao Agricultural University, Qingdao 266109, China
About Author:
Ge Yang, E-mail: geyang0125@163.com; Yujiang Sun, E-mail: s36s@163.com; #
Correspondence Ruihua Dang, E-mail: dangruihua@nwsuaf.edu.cn;
Shuqin Liu, E-mail: sqliu418@163.com
*
These authors contributed equally to this study.
doi: 10.1016/j.jia.2025.02.016
Outline
Understanding the genetic changes behind the phenotypic variation of Chinese donkeys is helpful to the genetic improvement and breeding of donkeys. However, the population structure and novel genes associated with morphological (coat color and body size) and adaptive (high-altitude adaptation) traits of Chinese donkeys remain largely unknown. Here, we analyzed 391 whole-genome sequencing (WGS) data of Chinese donkeys. Population genomic analyses showed that Chinese native donkey breeds mainly consist of three distinct populations (Southwest plateau, North plain, and Guanzhong plain), and a newly discovered population (Guanzhong plain) was identified. Moreover, we characterized a high-confidence list of 127, 117, and 169 selective signal genes for coat color, body size, and high-altitude adaptation, respectively. We discovered ARID3B gene with strong signals of selection, which may account for coat color in Chinese donkeys. Our study identified EPAS1 as a high-altitude adaptive gene. However, the FAM184B gene shows a stronger signal in response to high-altitude environments in Chinese donkeys. The selective sweep and GWAS analysis showed that LCORL and TMEM154 genes are potentially associated with body size in Chinese donkeys. Utilizing PacBio HiFi sequencing data, this study presents 15,954 highly reliable structural variations (SVs) between large-sized and small-sized donkeys. Utilizing SV data and a graph-based method, we identified an 880-bp deletion in the TMEM154 gene in Sichuan donkeys (small-sized) compared to Guanzhong donkeys (large-sized), which was verified by PCR and is a candidate SV related to body size. Transcriptome sequencing data showed that the TMEM154 gene is highly expressed in the muscle of Guanzhong donkeys (large-sized) compared to Sichuan donkeys (small-sized). Multi-species alignment analysis revealed that the region surrounding the 880-bp deletion in the TMEM154 gene region is conserved in horse, zebra, kiang, as well as two large-sized donkey breeds (Dezhou and Guanzhong), except in in the small-sized Sichuan donkey. Furthermore, after the 880 bp deletion was transfected into 3T3-L1 and HEK293T cells, it was demonstrated that the relative luciferase activity of the mutation was markedly decreased in comparison with that of the wild type. These results suggest that this 880-bp deletion in the TMEM154 gene may play an important role in body size trait of donkey. This study provides valuable genome resources for donkey breeding and sheds light on the domestication history of Chinese donkeys.
donkey
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selective signal
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body size
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structural variation
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TMEM154 gene
.
391份中国家驴全基因组重测序数据分析揭示其群体遗传结构与适应性性状遗传基础.
农业科学学报(英文版),
2026
, 25
(10)
: 4284
-4302
.
DOI: 10.1016/j.jia.2025.02.016
Ge Yang, Yujiang Sun, Zhaofei Wang, Cong Li, Xiangqin Zhai, Jiaqiang Zhang, Halima Jafari, Gang Ren, Chuzhao Lei, Ruihua Dang, Shuqin Liu.
Whole-genome resequencing of 391 Chinese donkeys reveals population structure and provides insights into their morphological and adaptive traits[J].
Journal of Integrative Agriculture,
2026
, 25
(10)
: 4284
-4302
.
DOI: 10.1016/j.jia.2025.02.016
Year 2026 volume 25 Issue 10
0
0
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doi: 10.1016/j.jia.2025.02.016