Identification of Biomarkers for Meat Quality in Sichuan Goats Through 4D Label-Free Quantitative Proteomics

The Nanjiang Yellow Goat (NJYG), Jintang Black Goat (JTBG), and Jianzhou Da'er Goat (JZDEG) are representative local goat breeds for meat production in Sichuan Province, China. This study conducted a comprehensive evaluation of the meat quality of the <i>longissimus dorsi</i> muscle of three goat breeds. Variations in meat quality were observed in terms of meat pH, color, ash and fat content, water activity, and muscle fiber structure. Quantitative proteomics analysis was employed to identify biomarkers for goat meat quality, revealing hundreds of differentially expressed proteins among three goat breeds. KEGG enrichment analysis revealed enriched pathways including oxidative phosphorylation, thermogenesis, citrate cycle (TCA cycle), fatty acid degradation and metabolism, as well as valine, leucine, and isoleucine degradation. Moreover, weighted protein co-expression network analysis and protein-protein interaction analysis uncovered valuable biomarkers, including GSTM3, NDUFS, OGDH, ACO2, HADH, ACAT1, ACADS, ACAA2, HSPG2, ITGA7, PARVB, ALDH9A1, ADH5, and LOC102190016, for assessing goat meat quality. This investigation highlighted the disparities in meat quality among local goat breeds in Sichuan, China, and provided insights into underlying biological pathways and valuable biomarkers for goat meat quality.

Authors

Institutions

Publication Details

Journal
Animals
Published
2025-03-20
DOI
https://doi.org/10.3390/ani15060887
Citations
4
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
4.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Biomarkers for Meat Quality in Sichuan Goats Through 4D Label-Free Quantitative Proteomics

Mengling Xu, Shifeng Pan, Rui Xu, Lin Zhang et al.
4 citations
Animals
Meat and Animal Product Quality
4.77
article

Identification of Biomarkers for Meat Quality in Sichuan Goats Through 4D Label-Free Quantitative Proteomics

Mengling Xu, Shifeng Pan, Rui Xu, Lin Zhang, Yin Zhang, Xinhui Wang, Rui Zhang, Jiamin Zhang, Ting Bai, Dayu Liu, Daodong Pan
article en
4 citations

Abstract

The Nanjiang Yellow Goat (NJYG), Jintang Black Goat (JTBG), and Jianzhou Da'er Goat (JZDEG) are representative local goat breeds for meat production in Sichuan Province, China. This study conducted a comprehensive evaluation of the meat quality of the <i>longissimus dorsi</i> muscle of three goat breeds. Variations in meat quality were observed in terms of meat pH, color, ash and fat content, water activity, and muscle fiber structure. Quantitative proteomics analysis was employed to identify biomarkers for goat meat quality, revealing hundreds of differentially expressed proteins among three goat breeds. KEGG enrichment analysis revealed enriched pathways including oxidative phosphorylation, thermogenesis, citrate cycle (TCA cycle), fatty acid degradation and metabolism, as well as valine, leucine, and isoleucine degradation. Moreover, weighted protein co-expression network analysis and protein-protein interaction analysis uncovered valuable biomarkers, including GSTM3, NDUFS, OGDH, ACO2, HADH, ACAT1, ACADS, ACAA2, HSPG2, ITGA7, PARVB, ALDH9A1, ADH5, and LOC102190016, for assessing goat meat quality. This investigation highlighted the disparities in meat quality among local goat breeds in Sichuan, China, and provided insights into underlying biological pathways and valuable biomarkers for goat meat quality.

AnimalsVol. 15(6)
Ningbo University (CN), Sichuan Animal Science Academy (CN), Chengdu University (CN), Yangzhou University (CN)
Clean water and sanitation
Openalex Percentile: Top 6%
Meat and Animal Product Quality
4.77
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.