Evidence map›Paper›PMID 37805512›Full record

ArticleBMC genomics2023

Weighted gene co-expression network analysis identified hub genes critical to fatty acid composition in Gushi chicken breast muscle.

Bin Zhai, Yinli Zhao, Hongtai Li, Shuaihao Li, Jinxing Gu, Hongyuan Zhang, Yanhua Zhang, Hong Li, Yadong Tian, Guoxi Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 2 institutions in 1 country.

Bin Zhai *College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Yinli Zhao *College of Biological Engineering, Henan University of Technology, Zheng Zhou, Henan Province, 450001, People's Republic of China.
Hongtai LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Shuaihao LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Jinxing GuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Hongyuan ZhangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Yanhua ZhangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Hong LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Yadong TianCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Guoxi LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China. liguoxi0914@126.com.
Yongcai WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China. wyc0002@126.com.
Henan Agricultural University · CNHenan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe composition and content of fatty acids in the breast muscle are important factors influencing meat quality. In this study, we investigated the fatty acid composition and content in the breast muscle of Gushi chickens at different developmental stages (14 weeks, 22 weeks, and 30 weeks). Additionally, we utilized transcriptomic data from the same tissue and employed WGCNA and module identification methods to identify key genes associated with the fatty acid composition in Gushi chicken breast muscle and elucidate their regulatory networks.

resultsAmong them, six modules (blue, brown, green, light yellow, purple, and red modules) showed significant correlations with fatty acid content and metabolic characteristics. Enrichment analysis revealed that these modules were involved in multiple signaling pathways related to fatty acid metabolism, including fatty acid metabolism, PPAR signaling pathway, and fatty acid biosynthesis. Through analysis of key genes, we identified 136 genes significantly associated with fatty acid phenotypic traits. Protein-protein interaction network analysis revealed that nine of these genes were closely related to fatty acid metabolism. Additionally, through correlation analysis of transcriptome data, we identified 51 key ceRNA regulatory networks, including six central genes, 7 miRNAs, and 28 lncRNAs.

conclusionThis study successfully identified key genes closely associated with the fatty acid composition in Gushi chicken breast muscle, as well as their post-transcriptional regulatory networks. These findings provide new insights into the molecular regulatory mechanisms underlying the flavor characteristics of chicken meat and the composition of fatty acids in the breast muscle.

Indexed as

ChickensFatty AcidsAnimalsGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksPectoralis MusclesFatty AcidsBreast musclesChickenFatty acid compositionHub geneWGCNA

Identifiers

PMID37805512
PMCPMC10559426
OpenAlexW4387429467

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.