Integrated analysis of transcriptomic and proteomic profiles identifies divergent regulatory networks for intramuscular fat in Chinese versus Western Pigs

Intramuscular fat (IMF) content is a key determinant of pork quality. In this study, the Chinese indigenous Huai pig (a fat-type breed) and the Western Duroc pig (a lean-type breed) were selected to investigate the molecular mechanisms underlying IMF deposition. Proteomic analysis identified 91 differentially expressed proteins (DEPs) between the two breeds. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that several key lipid metabolism-related pathways were significantly enriched, including the Lipid metabolic process, AMPK signaling pathway, nicotinate and nicotinamide metabolism, and Fat digestion and absorption. Western blotting further confirmed the reliability of the proteomic results. Integrated transcriptomic and proteomic analyses highlighted significant enrichment of the PPAR signaling pathway, which plays a central role in lipid metabolism. These findings suggest that enhanced fatty-acid uptake contributes to increased lipid deposition in muscle tissue. Additionally, several potential candidate genes associated with IMF deposition were identified, including CD36, SCARB2, ACADVL, ACADSB, ACADM, UNC119B, PAS-4, and APOA1. Collectively, this study provides valuable insights into the molecular regulation of IMF deposition in pigs and offers a theoretical basis and genetic resources for improving pork quality and advancing molecular breeding.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-09-18
DOI
https://doi.org/10.1371/journal.pone.0354756
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Integrated analysis of transcriptomic and proteomic profiles identifies divergent regulatory networks for intramuscular fat in Chinese versus Western Pigs

Chonglong Wang, Qianqian Hu, Pengcheng Shen, Caoyan Xu et al.
PLoS ONE
Meat and Animal Product Quality
article

Integrated analysis of transcriptomic and proteomic profiles identifies divergent regulatory networks for intramuscular fat in Chinese versus Western Pigs

Chonglong Wang, Qianqian Hu, Pengcheng Shen, Caoyan Xu, Chang Sheng Jiang, Man Ren, Ahmed H. Ghonaim, Xiaojin Li
article en

Abstract

Intramuscular fat (IMF) content is a key determinant of pork quality. In this study, the Chinese indigenous Huai pig (a fat-type breed) and the Western Duroc pig (a lean-type breed) were selected to investigate the molecular mechanisms underlying IMF deposition. Proteomic analysis identified 91 differentially expressed proteins (DEPs) between the two breeds. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that several key lipid metabolism-related pathways were significantly enriched, including the Lipid metabolic process, AMPK signaling pathway, nicotinate and nicotinamide metabolism, and Fat digestion and absorption. Western blotting further confirmed the reliability of the proteomic results. Integrated transcriptomic and proteomic analyses highlighted significant enrichment of the PPAR signaling pathway, which plays a central role in lipid metabolism. These findings suggest that enhanced fatty-acid uptake contributes to increased lipid deposition in muscle tissue. Additionally, several potential candidate genes associated with IMF deposition were identified, including CD36, SCARB2, ACADVL, ACADSB, ACADM, UNC119B, PAS-4, and APOA1. Collectively, this study provides valuable insights into the molecular regulation of IMF deposition in pigs and offers a theoretical basis and genetic resources for improving pork quality and advancing molecular breeding.

PLoS ONEVol. 21(9)
Anhui Agricultural University (CN), Anhui University of Science and Technology (CN), Huazhong Agricultural University (CN), Animal Husbandry & Veterinary (IN), Animal Science Research Institute (CN), Anhui Science and Technology University (CN), Anhui Academy of Agricultural Sciences (CN), Quality Enhancement Research Initiative (US), Desert Research Center (EG)
Openalex Percentile: Top 14%
Meat and Animal Product Quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.