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Genome-wide identification and analysis of TMT-based proteomes in longissimus dorsi tissue from Kazakh cattle and Xinjiang brown cattle

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Version 2 2022-01-25, 15:20
Version 1 2021-12-30, 09:40
posted on 2022-01-25, 15:20 authored by Zhen Ma, Xiang-Min Yan, Juan Geng, Liang Gao, Wei Du, Hong-Bo Li, Li-Xing Yuan, Zhen-Yong Zhou, Jin-Shan Zhang, Yang Zhang, Lei Chen

With the gradual completion of the human genome project, proteomes have gained extremely important value in the fields of human disease and biological process research. In our previous research, we performed transcriptomic analyses of longissimus dorsi tissue from Kazakh cattle and Xinjiang brown cattle and conducted in-depth studies on the muscles of both species through epigenetics. However, it is unclear whether differentially expressed proteins in Kazakh cattle and Xinjiang brown cattle regulate muscle production and development. In this study, a proteomic analysis was performed on Xinjiang brown cattle and Kazakh cattle by using TMT markers, HPLC classification, LC/MS and bioinformatics analysis. A total of 13,078 peptides were identified, including 11,258 unique peptides. We identified a total of 1874 proteins, among which 1565 were quantifiable. Compared to Kazakh cattle, Xinjiang brown cattle exhibited 75 upregulated proteins and 44 downregulated proteins. These differentially expressed proteins were enriched for the functions of adrenergic signaling in cardiomyocytes, fatty acid degradation and glutathione metabolism. In our research, we found differentially expressed proteins in longissimus dorsi tissue between Kazakh cattle and Xinjiang brown cattle. We predict that these proteins regulate muscle production and development through select enriched signaling pathways. This study provides novel insights into the roles of proteomes in cattle genetics and breeding.


This study was supported by the Xinjiang autonomous region basic research fee in 2021, the autonomous region modern livestock and poultry seed industry promotion special fund in 2021 (2021XJHN), the Xinjiang autonomous region basic research fee in 2019 (KY2019117), the modern agricultural industrial technology system (CARS-37)


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