Evidence map›Paper›PMID 36617259›Full record

ArticleJournal of animal science2023

Signatures of selection in indigenous Chinese cattle genomes reveal adaptive genes and genetic variations to cold climate.

Ning Huang, Lihong Zhao, Jinpeng Wang, Qiang Jiang, Zhihua Ju, Xiuge Wang, Chunhong Yang, Yaping Gao, Xiaochao Wei, Yaran Zhang and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Whole-Genome Sequencing Unveils the Uniqueness of Yushu Yaks (International journal of molecular sciences · 2025
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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

14 authors at 2 institutions in 1 country.

Ning HuangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Lihong ZhaoInformatic Center, SAAMS, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Jinpeng WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Qiang JiangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Zhihua JuKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Xiuge WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Chunhong YangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Yaping GaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Xiaochao WeiKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Yaran ZhangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Yao XiaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.ORCID 0000-0002-5153-6839
Wenhao LiuKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Shaoxiong LuCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming, P. R. China.
Jinming HuangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, P. R. China.
Shandong Academy of Agricultural Sciences · CNYunnan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cold climate shapes the genome of animals and drives them to carry sufficient genetic variations to adapt to changes in temperature. However, limited information is available about the genome-wide pattern of adaptations to cold environments in cattle. In the present study, we used 777K SNP genotyping (15 Chinese cattle breeds, 198 individuals) and whole genome resequencing data (54 cattle breeds of the world, 432 individuals) to disentangle divergent selection signatures, especially between the cold-adapted (annual average temperature of habitat, 6.24 °C to 10.3 °C) and heat-adapted (20.2 °C to 24.73 °C) Chinese native cattle breeds. Genomic analyses revealed a set of candidate genes (e.g., UQCR11, DNAJC18, EGR1, and STING1) were functionally associated with thermogenesis and energy metabolism. We also characterized the adaptive loci of cattle exposed to cold temperatures. Our study finds new candidate genes and provides new insights into adaptations to cold climates in cattle.

Indexed as

Cold ClimateGenomeAcclimatizationAnimalsCattleGenetic VariationGenomicsPolymorphism, Single NucleotideSelection, Geneticadaptive allelecattlecold adaptationselective sweepthermogenesis

Identifiers

PMID36617259
PMCPMC9985157
OpenAlexW4313729357

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.