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Research Article | Open Access

Whole-genome resequencing of 391 Chinese donkeys reveals population structure and provides insights into their morphological and adaptive traits

Ge Yang1,*, Yujiang Sun2,*, Zhaofei Wang1, Cong Li1, Xiangqin Zhai1, Jiaqiang Zhang1, Halima Jafari1, Gang Ren1, Chuzhao Lei1, Ruihua Dang1( ), Shuqin Liu2( )
Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
College of Animal Science and Technology, Qingdao Agricultural University, Qingdao 266109, China

*These authors contributed equally to this study.

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Highlights

• A total of 127, 117, and 169 selective-signal genes related to coat color, body size, and high-altitude adaptation were identified based on 391 whole-genome sequencing (WGS) data of Chinese donkeys.

• By employing PacBio HiFi sequencing data, this study has yielded highly reliable 15,954 structural variations (SVs) between Guanzhong (large-sized) and Sichuan (small-sized) donkeys.

• An 880-bp SV in the TMEM154 gene may play an important role in body size trait of donkey.

Abstract

Understanding the genetic changes underlying the phenotypic variation of Chinese donkeys is helpful for 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 the EPAS1 as a high-altitude adaptive gene. However, the FAM184B gene shows a stronger signal in response to high-altitude environments in Chinese donkeys. Selective sweep and genome-wide association study (GWAS) analyses 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- 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 polymerase chain reaction (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 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 the body size trait of donkeys. This study provides valuable genome resources for donkey breeding and sheds light on the domestication history of Chinese donkeys.

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Journal of Integrative Agriculture (JIA)
Pages 4284-4302

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Cite this article:
Yang G, Sun Y, Wang Z, et al. Whole-genome resequencing of 391 Chinese donkeys reveals population structure and provides insights into their morphological and adaptive traits. Journal of Integrative Agriculture (JIA), 2026, 25(10): 4284-4302. https://doi.org/10.1016/j.jia.2025.02.016

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Received: 17 June 2024
Revised: 03 September 2024
Accepted: 25 December 2024
Published: 17 February 2025
© 2026 CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer review under responsibility of Editorial Board of Journal of Integrative Agriculture.