Evidence map›Paper›PMID 40738957›Full record

ArticleCommunications biology2025

Genetic assessment and Identification of genes related to characterization of Guangdong local goose breeds based on modern and historical genomes.

Xing Zhang, Guiling Qiu, Dechun Huang, Zheng Ma, Jixiang Wei, Richeng Zhong, Ruirui Li, Miaoxing Huang, Junwei Gou, Fei Ye and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Unveiling the Genomic Landscape of Yan Goose (Animals : an open access journal from MDPI · 2026
    Article
  3. Potential Genetic Markers Associated with Coloration in Duck: A Review.International journal of molecular sciences · 2025
    Review
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.

Xing ZhangGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Guiling QiuFoshan Gaoming District Agricultural Technology Service and Promotion Centre, Foshan, China.
Dechun HuangGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Zheng MaGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Jixiang WeiGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Richeng ZhongFoshan Gaoming Haipeng Farming Co Ltd., Foshan, China.
Ruirui LiGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Miaoxing HuangGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Junwei GouGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Fei YeGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Qiqiong ZhangGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.
Qingyou LiuGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China.ORCID http://orcid.org/0000-0003-3265-540X
Hai XiangGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China. xh@fosu.edu.cn.ORCID http://orcid.org/0000-0001-8866-7931
Hua LiGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding; School of Animal Science and Technology, Foshan University, Foshan, China. okhuali@fosu.edu.cn.ORCID http://orcid.org/0000-0002-7623-399X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guangdong province has diverse local goose breeds with unique characteristics, but there is limited research on their genetic diversity, formation history and breed-specific genes. This study uses whole-genome sequencing to analyze 120 local geese representing four officially recognized breeds and two lines of the folk breed Sanzhou Black goose, as well as five museum goose samples in the region, combined with 56 geese whole genome data from NCBI, with the aim of understanding the genetic diversity and relationships of Guangdong geese, identifying the history of breed formation, and discovering genes linked to various traits in these geese. The results show a considerable degree of genetic diversity in Guangdong local geese. The museum Sanzhou Black goose exhibit multiple ancestral components, and the Magang goose may be derived from the Sanzhou Black goose. A multitude of genes have been identified as related to various functional phenotypes in different Guangdong geese, such as fat deposition (ACER3), feather color (ACTA2), skin pigmentation (GDA), and body growth and development (ARHGAP21), collectively defining the distinctive attributes of indigenous breeds. These results provide a way to study the history of breed formation and a basis for selective breeding or utilization targeting goose breeds in Guangdong.

Indexed as

BreedingGeeseGenetic VariationGenomeAnimalsChinaPhenotypePhylogenyWhole Genome Sequencing

Identifiers

PMID40738957
PMCPMC12310927

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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.