A Tandem Mass Tag (TMT) Proteomic Based Comparison of Longissimus Dorsi Muscle in Dezhou Donkey and Luxi Yellow Cattle
Donkey meat and beef are considered rich sources of protein. However, limited information is currently available on the comparative compositional analysis of these two meat types. In this paper, Tandem Mass Tag (TMT) was used to investigate the difference in the proteomes of Dezhou donkey meat and Luxi cattle meat. Our results showed that donkey meat exhibited significantly higher protein content compared to beef (pppp<0.05). Furthermore, using proteomic analysis, we identified a total of 1328 differentially expressed proteins (DEPs), which may contribute to subtle variations in the quality of beef and donkey meat. Notably, proteins such as collagen, calpain, troponin, desmin, myoglobin and glycolytic enzymes phosphoglucomutase 1, aldolase, triosephosphate isomerase 1 were identified, suggesting their potential roles in influencing meat quality. In addition, the study highlighted that pathways related to glycolysis and oxidative phosphorylation were predominantly associated with muscle energy metabolism. Overall, this study provides a comprehensive proteomic profile of donkey meat and beef, advancing our understanding of the molecular determinants of meat quality and flavor.
Authors
- Muhammad Zahoor Khan (ORCID: https://orcid.org/0000-0001-5890-2996)
- Changyun Cai (ORCID: https://orcid.org/0000-0003-1088-6979)
- Xingzhen Qi
- Yuan Zhao (ORCID: https://orcid.org/0000-0003-3523-9751)
- Ting Lu (ORCID: https://orcid.org/0000-0001-9043-3253)
- Guiqin Liu (ORCID: https://orcid.org/0000-0002-6230-9885)
- Wenjie Li (ORCID: https://orcid.org/0000-0002-1768-1178)
- Xue Chen
- Yaqian Jin
- Lanjie Li (ORCID: https://orcid.org/0009-0009-0305-4155)
- Muhammad Faheem Akhtar (ORCID: https://orcid.org/0000-0001-8917-0740)
Publication Details
- Journal
- Journal of Food and Nutrition Research
- Published
- 2025-04-16
- DOI
- https://doi.org/10.12691/jfnr-13-4-1
- Primary Topic
- Medicinal Plant Pharmacodynamics Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Liaocheng University
- Modern Agricultural Technology Industry System of Shandong province