Evidence map›Paper›PMID 40427272›Full record

ArticleAnimals : an open access journal from MDPI2025

Whole-Genome Sequencing Identifies Functional Genes for Environmental Adaptability in Chinese Geese.

Xufang Ren, Jincheng Yu, Xiurong Zhao, Xinye Zhang, Gang Wang, Xiaoyu Jiang, Xianyao Li, Changqing Qu, Lujiang Qu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xufang RenEngineering Technology Research Center of Anti-Aging Chinese Herbal Medicine of Anhui Province, Biology and Food Engineering School, Fuyang Normal University, Fuyang 236037, China.
Jincheng YuLiaoning Academy of Agricultural Sciences, Shenyang 110161, China.
Xiurong ZhaoNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Xinye ZhangNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Gang WangNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Xiaoyu JiangNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Xianyao LiCollege of Animal Science and Technology, Shandong Agricultural University, Taian 271018, China.
Changqing QuEngineering Technology Research Center of Anti-Aging Chinese Herbal Medicine of Anhui Province, Biology and Food Engineering School, Fuyang Normal University, Fuyang 236037, China.ORCID 0000-0003-0832-4299
Lujiang QuNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Funding

Open Project of Provincial and Ministerial Scientific Research Platform, Fuyang Normal Univer-sity;Joint plan of Liaoning Province in the field of Livelihood Science and Technology (Rural Revitalization science and technology support) FSKFKT027D and FSKFKT026D
6 · The paper itself

Abstract

China is home to a rich diversity of goose genetic resources, with more than 30 distinct breeds. These breeds are widely distributed in various environments with high annual mean temperature differences ranging from about 3.5 °C to 23 °C and annual precipitation differences ranging from about 230 mm to 2200 mm, positioning them as excellent models for studying environmental adaptability. With three genetic-environment association methods, the LFMM, Samβada, and RDA analysis, a total of 447 genes were selected by at least two methods. These genes are significantly enriched in three pathways, including the polycomb repressive complex pathway, the alanine, aspartate, and glutamate metabolism pathway, and the GnRH signalling pathway. The scanning of all candidate single-nucleotide polymorphism variations found that only two variants located in a non-coding region (chr3:38968547, chr13:23863699) showed stronger positive selection in breeds living in a high-temperature environment. This research not only deepens our understanding of the genetic basis of goose adaptation to diverse environments but also provides a valuable resource for future selective breeding programs in the goose industry facing rapid global climate change.

Indexed as

environmental adaptabilitygenetic–environment associationgoosewhole-genome sequence

Identifiers

PMID40427272
PMCPMC12108252

What OpenQuestion holds

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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.