Evidence map›Paper›PMID 42793167›Full record

ArticleBiomolecules2026

Integrated Multi-Omic Analyses Reveal Gender-Specific Molecular Mechanisms Regulating Growth and Muscle Development in Zhongshan Partridge Ducks.

Tong Ouyang, Xiaohuan Chao, Yingshan Yin, Congliang Ji, Xuerong Ma, Youcheng He, Tianxi Cui, Haoqi Zhong, Zhou Wu, Qingbin Luo

Abstract read
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In one paragraph

Article in Biomolecules, 2026. 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

10 authors.

Tong OuyangCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Xiaohuan ChaoCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Yingshan YinZhongshan Agricultural Science and Technology Extension Center, Zhongshan 528400, China.
Congliang JiWens Foodstuff Group Co., Ltd., Yunfu 527400, China.
Xuerong MaWens Foodstuff Group Co., Ltd., Yunfu 527400, China.
Youcheng HeCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Tianxi CuiCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Haoqi ZhongCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Zhou WuCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-8840-9630
Qingbin LuoCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.

Funding

China Agriculture Research System of MOF and MARA CARS-42-42Guangdong Gene Bank of Livestock and Poultry MTG20250816
6 · The paper itself

Abstract

Zhongshan Partridge duck is a unique indigenous dual-purpose waterfowl native to China's Pearl River Delta. This once endangered breed has been restored through conserved breeding. Its slow growth and low breast muscle yield limit industrial application, and obvious sexual dimorphism in pectoral muscle growth and metabolism lacks systematic molecular explanation. Herein, we combined GWAS, pectoral RNA-seq and untargeted metabolome to dissect regulatory networks of growth and carcass traits using 365 standardized ducks. Ten growth and carcass phenotypes were collected, and the Gompertz model fitted growth trajectories with mean R

Indexed as

DucksMuscle DevelopmentAnimalsFemaleGenome-Wide Association StudyMaleMetabolomeMultiomicsPectoralis MusclesSex CharacteristicsTranscriptomegrowthgrowth curveGWASmulti-omicspectoral musclesex dimorphismtranscriptomeuntargeted metabolomeZhongshan Partridge duck

Identifiers

PMID42793167

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.