Metabolites in Longissimus Lumborum From Beef Cattle Differ in Fat Content

Improving meat quality is an important goal in beef production. Therefore, a deeper understanding of the biochemical characteristics that drive muscle development and fat deposition and their effects on final quality is important in the fields of meat science and animal production. Recent research has shown that metabolites can be utilized as biological indicators for measuring meat quality. Therefore, the general meat quality, texture profile, and differentially abundant metabolites in longissimus lumborum from 10 Kazakh (with low fat content) cattle (KAZ) and 10 Xinjiang brown (with high fat content) cattle (BC) were analyzed. A total of 800 metabolites were detected, among which were 47 differentially abundant metabolites (DAMs), including 1 amine, 1 heterocyclic compound, 1 tryptamine choline pigment, 18 amino acid derivatives, 3 benzene and its substituted derivatives, 5 fatty acyls, 3 glycoproteins, 5 nucleotides and their metabolites, 5 organic acids and their derivatives, and 5 carbohydrates and their metabolites. The top 5 up- and downregulated DAMs between the two breeds included Arg-Lys, Pro-Glu-Val, 4-(aminomethyl) indole, N6-(2-hydroxyethyl) adenosine, methyldopa, and biliverdin, which are related to metabolic pathways such as arginine and proline metabolism, galactose metabolism, endocrine resistance, and glycerolipid metabolism, potentially affecting meat quality, including sensory acceptability. These results suggest that metabolites are potentially useful biological indicators for measuring meat quality and provide an important theoretical basis for improving beef flavor and taste.

Authors

Institutions

Publication Details

Journal
Food Science & Nutrition
Published
2025-12-01
DOI
https://doi.org/10.1002/fsn3.71345
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metabolites in Longissimus Lumborum From Beef Cattle Differ in Fat Content

Hao Jiang, Xiao Wang, Zhen Ma, Lei Chen et al.
Food Science & Nutrition
Meat and Animal Product Quality
article

Metabolites in Longissimus Lumborum From Beef Cattle Differ in Fat Content

Hao Jiang, Xiao Wang, Zhen Ma, Lei Chen, Wenjie Yu, Xiang-Min Yan, Zongsheng Zhao, Fanrong Cui
article en

Abstract

Improving meat quality is an important goal in beef production. Therefore, a deeper understanding of the biochemical characteristics that drive muscle development and fat deposition and their effects on final quality is important in the fields of meat science and animal production. Recent research has shown that metabolites can be utilized as biological indicators for measuring meat quality. Therefore, the general meat quality, texture profile, and differentially abundant metabolites in longissimus lumborum from 10 Kazakh (with low fat content) cattle (KAZ) and 10 Xinjiang brown (with high fat content) cattle (BC) were analyzed. A total of 800 metabolites were detected, among which were 47 differentially abundant metabolites (DAMs), including 1 amine, 1 heterocyclic compound, 1 tryptamine choline pigment, 18 amino acid derivatives, 3 benzene and its substituted derivatives, 5 fatty acyls, 3 glycoproteins, 5 nucleotides and their metabolites, 5 organic acids and their derivatives, and 5 carbohydrates and their metabolites. The top 5 up- and downregulated DAMs between the two breeds included Arg-Lys, Pro-Glu-Val, 4-(aminomethyl) indole, N6-(2-hydroxyethyl) adenosine, methyldopa, and biliverdin, which are related to metabolic pathways such as arginine and proline metabolism, galactose metabolism, endocrine resistance, and glycerolipid metabolism, potentially affecting meat quality, including sensory acceptability. These results suggest that metabolites are potentially useful biological indicators for measuring meat quality and provide an important theoretical basis for improving beef flavor and taste.

Food Science & NutritionVol. 13(12)
Shihezi University (CN), Jilin University (CN), Yili Normal University (CN), Xinjiang Academy of Animal Science (CN), Jilin Agricultural University (CN)
Natural Science Foundation of Xinjiang
Openalex Percentile: Top 54%
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.