Data-Independent Acquisition Method for In-Depth Proteomic Screening of Donkey Meat

Donkey meat has gained popularity as an emerging meat product due to its superior nutritional value and distinctive flavor. Despite this, research on the molecular mechanisms that contribute to meat quality, particularly within the field of proteomics, remains limited. This study aimed to address this gap by utilizing the data-independent acquisition (DIA) technique to identify differentially expressed proteins (DEPs) in the gluteus superficialis (WG), longissimus thoracis (WLT), and semitendinosus (WS) muscles of donkeys. Our analysis revealed 189 and 384 DEPs in the WG/WLT and WS/WLT muscles, respectively. Several significant potential pathways, involving these DEPs, were found to be closely associated with donkey meat quality. These pathways include fatty acid biosynthesis, TGF-β signaling, FOXO signaling, mTOR signaling, oxidative phosphorylation, citrate cycle, alanine, aspartate, and glutamate metabolism, arginine biosynthesis, and valine, leucine, and isoleucine degradation. The identified DEPs and their regulated pathways were involved in regulating intramuscular fat deposition, protein metabolism, and amino acid metabolism in donkey muscles. These mechanisms have a direct impact on the physicochemical properties and flavor of donkey meat. Our findings contribute to a better understanding of the molecular processes influencing the quality of donkey meat. Additionally, the findings of our study may be influenced by the sample size. Therefore, further research with a larger sample is needed to provide a more comprehensive evaluation of meat quality.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2024-11-21
DOI
https://doi.org/10.3390/agriculture14122102
Citations
5
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
1.70

Funders

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

Data-Independent Acquisition Method for In-Depth Proteomic Screening of Donkey Meat

Mingxia Zhu, Wenqiong Chai, Qiugang Ma, Muhammad Zahoor Khan et al.
5 citations
Agriculture
Meat and Animal Product Quality
1.70
article

Data-Independent Acquisition Method for In-Depth Proteomic Screening of Donkey Meat

Mingxia Zhu, Wenqiong Chai, Qiugang Ma, Muhammad Zahoor Khan, Tianqi Wang, Honglei Qu, Wenqiang Liu, Xinrui Wang, Changfa Wang, Liyuan Wang
article en
5 citations

Abstract

Donkey meat has gained popularity as an emerging meat product due to its superior nutritional value and distinctive flavor. Despite this, research on the molecular mechanisms that contribute to meat quality, particularly within the field of proteomics, remains limited. This study aimed to address this gap by utilizing the data-independent acquisition (DIA) technique to identify differentially expressed proteins (DEPs) in the gluteus superficialis (WG), longissimus thoracis (WLT), and semitendinosus (WS) muscles of donkeys. Our analysis revealed 189 and 384 DEPs in the WG/WLT and WS/WLT muscles, respectively. Several significant potential pathways, involving these DEPs, were found to be closely associated with donkey meat quality. These pathways include fatty acid biosynthesis, TGF-β signaling, FOXO signaling, mTOR signaling, oxidative phosphorylation, citrate cycle, alanine, aspartate, and glutamate metabolism, arginine biosynthesis, and valine, leucine, and isoleucine degradation. The identified DEPs and their regulated pathways were involved in regulating intramuscular fat deposition, protein metabolism, and amino acid metabolism in donkey muscles. These mechanisms have a direct impact on the physicochemical properties and flavor of donkey meat. Our findings contribute to a better understanding of the molecular processes influencing the quality of donkey meat. Additionally, the findings of our study may be influenced by the sample size. Therefore, further research with a larger sample is needed to provide a more comprehensive evaluation of meat quality.

AgricultureVol. 14(12)
Lincoln University (NZ), Liaocheng University (CN), China Agricultural University (CN)
National Natural Science Foundation of China, Liaocheng University, Natural Science Foundation of Shandong Province
Zero hunger
Openalex Percentile: Top 17%
Meat and Animal Product Quality
1.70
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.