Evidence map›Paper›PMID 38665081›Full record

ArticleAnimal bioscience2024

Weighted gene co-expression network analysis identifies important modules and hub genes involved in the regulation of breast muscle yield in broilers.

Xing Guo, Hao Wang, Meng Liu, Jin-Mei Xu, Ya-Nan Liu, Hong Zhang, Xin-Xin He, Jiang-Xian Wang, Wei Wei, Da-Long Ren and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Effect of Dietary Inclusion of Full-Fat Insect Meals (Animals : an open access journal from MDPI · 2026
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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

11 authors at 1 institution in 1 country.

Xing GuoCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Hao WangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Meng LiuCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Jin-Mei XuCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Ya-Nan LiuCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Hong ZhangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Xin-Xin HeCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Jiang-Xian WangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Wei WeiCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Da-Long RenCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Run-Shen JiangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Anhui Agricultural University · CN

Funding

China Agriculture Research System of MOF and MARA CARS-41key research and development project of Anhui Province 202204c06020050Major Special science and technology project of Anhui province 202103b06020023Natural Science Research Project of Anhui Educational Committee KJ2021A0148Science and Technology Major Project of Anhui Province 202203a06020015Science and Technology Major Project of Huaibei city HK2021015
6 · The paper itself

Abstract

objectiveIncreasing breast meat production is one of the primary goals of the broiler industry. Over the past few decades, tremendous progress has been made in genetic selection and the identification of candidate genes for improving the breast muscle mass. However, the molecular network contributing to muscle production traits in chickens still needs to be further illuminated.

methodsA total of 150 1-day-old male 817 broilers were reared in a floor litter system. At the market age of 50 d, eighteen healthy 817 broilers were slaughtered and the left pectoralis major muscle sample from each bird was collected for RNA-seq sequencing. The birds were then plucked and eviscerated and the whole breast muscle was removed and weighed. Breast muscle yield was calculated as the ratio of the breast muscle weight to the eviscerated weight. To identify the co-expression networks and hub genes contributing to breast muscle yield in chickens, we performed weighted gene co-expression network analysis (WGCNA) based on the 18 transcriptome datasets of pectoralis major muscle from eighteen 817 broilers.

resultsThe WGCNA analysis classified all co-expressed genes in the pectoral muscle of 817 broilers into 44 modules. Among these modules, the turquoise and skyblue3 modules were found to be most significantly positively (r = 0.78, p = 1e-04) and negatively (r = -0.57, p = 0.01) associated with breast meat yield, respectively. Further analysis identified several hub genes (e.g., DLX3, SH3RF2, TPM1, CAV3, MYF6, and CFL2) that involved in muscle structure and muscle development were identified as potential regulators of breast meat production.

conclusionThe present study has advanced our understanding of the molecular regulatory networks contributing to muscle growth and breast muscle production and will contribute to the molecular breeding of chickens in the future.

Indexed as

Breast Muscle YieldChickenHub GenesWeighted Gene Co-expression Network Analysis (WGCNA)

Identifiers

PMID38665081
PMCPMC11366510
OpenAlexW4395480306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.