Evidence map›Paper›PMID 40457191›Full record

ArticleBMC genomics2025

Integrating SNP data to reveal the adaptive selection features of goat populations in extreme environments.

Wannian Wang, Ke Cai, Mengdan Fan, Zhixu Pang, Yangyang Pan, Lifen Cheng, Liying Qiao, Ruizhen Wang, Wenzhong Liu, Jianhua Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 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

10 authors.

Wannian Wang *Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Ke Cai *Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Mengdan FanDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Zhixu PangDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Yangyang PanDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Lifen ChengShanxi Animal Husbandry Technology Extension Service Center, Taiyuan, 030001, China.
Liying QiaoDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Ruizhen WangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China.
Wenzhong LiuDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Jianhua LiuDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China. ljhbeth@163.com.

Funding

The Basic Research Program of Shanxi Province 202103021224134The earmarked fund for Modern Agro-industry Technology Research System 2024CYJSTX14-06
6 · The paper itself

Abstract

The frequent occurrence of extreme climate events globally has elevated the requirements for environmental adaptability in livestock and poultry. Some goat populations have shown strong adaptability in specific extreme environments, and their genomes often leave genetic traces of adaptive evolution. This study integrated global goat single nucleotide polymorphism (SNP) chip data and raster data of 11 environmental variables. We retained 162 native goat populations and analyzed the environmental data of their regions. We detected 23 candidate genes related to environmental adaptation using selection signal analysis and genome-environment association analysis. After that, we screened out goat populations in extreme environments based on environmental data. Then, we used three selection signal analysis methods (F

Indexed as

Adaptation, PhysiologicalExtreme EnvironmentsGoatsPolymorphism, Single NucleotideSelection, GeneticAnimalsGenetics, PopulationGenomeExtreme environmentGenetic-environmental associationGoatSelection signalSNP

Identifiers

PMID40457191
PMCPMC12128531

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.