Evidence map›Paper›PMID 41139140›Full record

ArticleStress biology2025

Evaluation of genetic diversity and selection signals in gayal populations across four countries through whole-genome resequencing.

Xin Liu, Qiaoxian Li, Jianyong Liu, Zulfiqar Ahmed, Jicai Zhang, Zhe Wang, Ankui Wang, Ningbo Chen, Yongzhen Huang, Gang Ren and 3 more

Abstract read
In one paragraph

Article in Stress biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xin LiuKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Qiaoxian LiYunnan Academy of Grassland and Animal Science, Kunming, 652100, China.
Jianyong LiuYunnan Academy of Grassland and Animal Science, Kunming, 652100, China.
Zulfiqar AhmedDepartment of Livestock and Poultry Production, Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Rawalakot, 12350, Pakistan.
Jicai ZhangYunnan Academy of Grassland and Animal Science, Kunming, 652100, China.
Zhe WangYunnan Academy of Grassland and Animal Science, Kunming, 652100, China.
Ankui WangYunnan Academy of Grassland and Animal Science, Kunming, 652100, China.
Ningbo ChenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Yongzhen HuangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Gang RenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Hong ChenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Chuzhao LeiKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China. leichuzhao1118@126.com.ORCID http://orcid.org/0000-0003-1647-1037
Bizhi HuangYunnan Academy of Grassland and Animal Science, Kunming, 652100, China. hbz@ynbp.cn.

Funding

the China Agriculture Research System of MOF and MARA CARS-37the Construction of the Yunling Cattle Technology Innovation Center and Industrialization of Achievements 2019ZG007the Yunling cattle special program of the Yunnan Joint Laboratory of the Seeds and Seeding Industry 202205AR070001the Yunnan Expert Workstation 202305AF150156
6 · The paper itself

Abstract

Gayal (Bos frontalis) an endangered bovine species inhabitingChina, India, Bangladesh, Myanmar and Bhutan, has a mysterious evolutionary origin. Shaped by natural selection, its unique traits make it a valuable genetic resource; however, its populations are rapidly declining. In this study, comprehensive whole-genome resequencing of fifty-eight samples of Gayal from China, India, Myanmar and Bangladesh was performed. We identified over 44 million SNPs across four Gayal populations. Nucleotide diversity analysis revealed variations in genetic diversity, with the lowest occurring in India and the highest occurring in China. Phylogenetic tree analysis revealed three distinct clades representing China, India and Bangladesh-Myanmar, which were further confirmed by principal component and admixture analyses. The genetic exchanges between Gayal and other bovine species indicate limited influence from domestic cattle in both the Chinese and Bangladeshi Gayal populations. Mitochondrial DNA sequences and a phylogenetic tree highlighted the unique mitochondrial genome of Gayal. Genome-wide selection signals pinpointed candidate genes linked to mitochondrial function, immunity, musculoskeletal development, reproduction and growth performance. Distinct haplotype patterns emerged for the CCDC157, KIAA0753 and MTFP1 genes in the Chinese and Bangladesh-Myanmar Gayal populations, indicating artificial selection in the Chinese population. KEGG pathway and gene ontology enrichment analyses provided insights into processes related to neurodevelopment, cardiac function, tissue growth, immunity and metabolism. In summary, our study enhances our understanding of Gayal genetics, population structure and selection signals across four countries. This knowledge is crucial for conserving this endangered species amid its rapid decline.

Indexed as

GayalGenetic diversityMitochondrial genomeSelection signalWhole-genome resequencing

Identifiers

PMID41139140
PMCPMC12553695

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.