Evidence map›Paper›PMID 42380958›Full record

ArticleJournal of animal science and biotechnology2026

Genome-wide variation landscape reveals temperature adaptation in Chinese indigenous cattle.

Changheng Zhao, Jun Teng, Yan Chen, Cheng Yang, Xinyi Zhang, Chao Ning, Huili Wang, Qien Yang, Wenfa Lv, Dan Wang and 1 more

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

11 authors.

Changheng ZhaoShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
Jun TengShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
Yan ChenShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
Cheng YangShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
Xinyi ZhangShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
Chao NingShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
Huili WangInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Qien YangCAS Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, 810001, China.
Wenfa LvKey Lab of Animal Production, Product Quality and Security, Ministry of Education, Jilin Agricultural University, Changchun, 130118, China.
Dan WangShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China. wangd_18@163.com.
Qin ZhangShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China. qzhang@sdau.edu.cn.

Funding

National Key Research and Development Program of China 2021YFD1200404Talent Introduction Research Project of Hebei Agricultural University YJ2025031
6 · The paper itself

Abstract

backgroundThe significant temperature variations across northern and southern China have driven the adaptive evolution of Chinese native cattle breeds, allowing them to thrive in diverse and extreme bioclimate environments. Understanding how these breeds have adapted to varying temperatures is essential for identifying genetic factors that contribute to their survival in such conditions.

resultsIn this study, using whole-genome sequence data of 336 individuals (with an average sequencing depth of 30.12 ×) from 21 cattle breeds, including 8 breeds from cold regions, 3 from warm regions, and 10 from hot regions, clear genetic differentiation among the three groups of breeds was revealed. Using whole-genome SNP, InDel, and SV data, a series of selective genomic regions, genes, and variants/SVs associated with cold or hot temperature adaptability were identified. Key genes, including KLB, HSPA4, ECSCR, DNAJC18 and SLC9A1 are speculated to be responsible for cold/hot adaptability based on the extreme difference in allele frequency of the selective variants/SVs harbored by these genes, their known biological functions, protein-protein interaction network, findings from previous studies on their relation to environmental adaptation, and their tissue specificities.

conclusionsBy integrating SNP, InDel, and SV data, this study provides a comprehensive genetic framework for understanding selective environmental adaptation. These findings enhance our understanding of the mechanisms underlying temperature adaptation in cattle and offer a molecular foundation for the development of new breeds.

Indexed as

Chinese indigenous cattleGenome-wide variationPopulation structureSelective sweepsTemperature adaptability

Identifiers

PMID42380958
PMCPMC13321616

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