Evidence map›Paper›PMID 40301745›Full record

ArticleBMC genomics2025

Integrated transcriptomics and metabolomics reveal the molecular characteristics and metabolic regulatory mechanisms among different muscles in Minxian black fur sheep.

Huihui Wang, Zilong Liu, Hai Yang, Yaqin Bai, Qiao Li, Xingcai Qi, Dengpan Li, Xingxu Zhao, Youji Ma

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Comparative Analysis of Meat Quality Characteristics of theAnimals : an open access journal from MDPI · 2026
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  5. Article
  6. Article
  7. Article
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.

Huihui WangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Zilong LiuCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Hai YangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Yaqin BaiAnimal Husbandry Technology Extension Station of Gansu Province, Lanzhou, 730030, China.
Qiao LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Xingcai QiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Dengpan LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Xingxu ZhaoGansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Lanzhou, 730070, China.
Youji MaCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China. yjma@gsau.edu.cn.

Funding

Discipline Team Project of Gansu Agricultural University GAU-XKTD-2022-20Excellent Doctoral Program of Gansu Province 23JRRA1450Innovation Star project for outstanding graduate students of the Education Department of Gansu Province 2023CXZX-631Technology integration technology project of Linxia Beef and Sheep Industry Development Research Institute KJJC-LX-2023-05The Education Science and Technology Innovation Project of Gansu Province GSSYLXM-02
6 · The paper itself

Abstract

backgroundMammalian skeletal muscle is comprised of heterogeneous fibers with various contractile and metabolic properties that affect muscle flavor. Thus, it is of great significance to identify and characterize the potential molecular characteristics and metabolic regulatory mechanisms associated with muscle fiber properties.

resultsIn this study, the muscle samples (Biceps femoris; longissimus dorsi; and infraspinatus) from Minxian black fur sheep were used to perform transcriptome and metabolome analyses. Then, the key genes regulating the metabolism of important flavor precursors (amino acids and lipids) were explored by integrating transcriptome and metabolome. Consequently, we identified 432 differentially expressed genes, which were mainly involved in muscle development and function maintenance (e.g., myofibril, myocyte differentiation, etc.), metabolism (e.g., fatty acid metabolism, arachidonic acid metabolism, PPAR signaling pathway, and PI3K-Akt signaling pathway, etc.), and homeostasis (e.g., regulation of actin cytoskeleton, ECM-receptor interaction, calcium signaling pathway, etc.). A total of 58 key genes affecting muscle fiber properties, including MYL2, HOXA/C/D, MYBPH8, MYH8, etc., were screened, which characterized the molecular differences in muscle fiber metabolic properties between oxidative and glycolytic muscle. Meanwhile, we identified 463 differentially accumulated metabolites. Except for glycerophospholipids, most flavor metabolites were higher in oxidative muscle. Subsequently, key genes highly related to flavor amino acids were identified by weighted gene co-expression network analysis, such as ALDH6A1, BCKDHB, SLC16A7, LDHB, etc. Based on KEGG enrichment analysis, a regulatory network with both lipid metabolism and its crosstalk with other metabolic pathways was constructed.

conclusionsIn conclusion, this study provides an in-depth understanding of the molecular mechanism of differences in muscle fiber properties among different muscles of Minxian black fur sheep, and also lays a foundation for further exploration of the regulatory mechanism of key genes on flavor metabolites.

Indexed as

Gene Expression ProfilingMetabolomeMetabolomicsMuscle, SkeletalTranscriptomeAnimalsSheepMetabolic differenceMetabolomicsMinxian black fur sheepMuscle fiber characteristicMuscle flavorTranscriptomics

Identifiers

PMID40301745
PMCPMC12039146

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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.