Evidence map›Paper›PMID 40696286›Full record

ArticleGenetics, selection, evolution : GSE2025

Genome-environment association analysis reveals climate-driven adaptation of chickens.

Xiurong Zhao, Jinxin Zhang, Junhui Wen, Xinye Zhang, Haiying Li, Huie Wang, Tao Zhu, Changsheng Nie, Xinghua Li, Weifang Yang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetics, selection, evolution : GSE, 2025. 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Xiurong ZhaoCollege of Grassland Science and Technology, China Agricultural University, Beijing, 100193, China.
Jinxin ZhangFisheries Science Institute, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Junhui WenInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China.
Xinye ZhangNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Haiying LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830000, China.
Huie WangKey Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Xinjiang Production and Construction Corps, Tarim University, Alar, 843300, China.
Tao ZhuNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Changsheng NieNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Xinghua LiNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Weifang YangBeijing Municipal General Station of Animal Science, Beijing, 100107, China.
Guomin CaoAnimal Husbandry Station of Fangchenggang, Guangxi, 538001, China.
Wenjie XiongAnimal Disease Prevention and Control Center of Fangchenggang, Guangxi, 538001, China.
Xue WangVVBK Animal Medical Diagnostic Technology, Beijing, 102600, China.
Zhonghua NingNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Lujiang QuNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China. quluj@163.com.ORCID http://orcid.org/0000-0003-2748-9101

Funding

Beijing Agriculture Innovation Consortium BAIC06-2023-G01Investigation and Demonstration of Key Technologies for Safe and Efficient Breeding of Laying Hens in Sanming City 2023-N-14Major Projects in Agricultural Biological Breeding 2023ZD0406401open project of Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin BRZD2104
6 · The paper itself

Abstract

backgroundDomestic chickens are one of the most widely raised and distributed bird species, exhibiting remarkable environmental adaptability, which makes them valuable model organisms for investigating the genetic mechanisms underlying climate adaptation. This study aimed to enhance our understanding of adaptive mechanisms in chickens by jointly analyzing genomic variations and climatic variables related to temperature and precipitation. To this end, whole-genome sequencing data were collected from 199 indigenous domestic chickens raised under diverse environmental conditions worldwide, and three genome-environment association analyses were performed.

resultsWe identified 184 genes potentially associated with climate adaptation in chickens. Among these, the TSHR gene may play multiple roles in adaptation driven by different climatic factors. Immune-related genes also appear to contribute to climate adaptation in chickens. By calculating the allele frequencies of single nucleotide polymorphisms (SNPs) within candidate genes associated with temperature and precipitation adaptation, we identified five SNPs within four genes (ZNF536, ENSGALG00000049158, PAPPA, and EHMT1) that exhibited distinct geographic distribution patterns. Extended haplotype homozygosity (EHH) analysis of these SNPs revealed that haplotypes carrying the mutant allele exhibited slower decay in EHH compared to those carrying the wild-type allele. These results further indicate that the loci have experienced strong selective pressures, suggesting that the associated genes may play crucial roles in climate adaptation in chickens.

conclusionsOverall, this study provides new insights into the genetic mechanisms underlying climate adaptation in domestic chickens.

Indexed as

Adaptation, PhysiologicalChickensGene-Environment InteractionAnimalsClimateGene FrequencyHaplotypesPolymorphism, Single Nucleotide

Identifiers

PMID40696286
PMCPMC12281946

What Socratic holds

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LicenceCC BY
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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 Socratic graph.