Comparative transcriptome and proteome analyses of the longissimus dorsi muscle for explaining the difference between donkey meat and other meats.

Anim Biotechnol

Shandong Provincial Key Laboratory of Animal Biotochnology and Disease Control and Prevention, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, China.

Published: December 2023

AI Article Synopsis

  • Domesticated donkeys were mostly used for work in the past, but now people are becoming more interested in their milk and meat, especially in China.
  • This study looked at the muscle of donkeys, cows, and goats to find out how their meat is different by using special methods called RNA sequencing and Proteome sequencing.
  • The researchers found many differences in genes and proteins between donkey meat and the other meats, showing that donkey meat has unique qualities related to nutrition and metabolism.

Article Abstract

Domestic donkeys () have been maintained mainly for service purposes in the past. Nowadays, there is an increasing interest in donkey milk and meat production in several countries, including China. Donkey meat is highly consumed because of its nutritional value and unique flavor. However, genomic studies on donkey meat are limited. Therefore, in this study, we aimed to examine the molecular difference of longissimus dorsi muscles of donkey, cow, and goat. RNA sequencing and Proteome sequencing technology were used to analyze the transcriptome and proteome of the longissimus dorsi muscle of donkey, cow, and goat. A total of 1338 and 1780 differentially expressed genes (DEGs) were identified in donkey meat compared with that in cow and goat meat, respectively. Most of the DEGs were involved in biological processes, including small GTPase-mediated signal transduction, protein ubiquitination, protein glycosylation, and MAP kinase tyrosine/serine/threonine phosphatase activity. Additionally, 764 and 1024 differentially expressed proteins (DEPs) were identified in cow vs. donkey, and goat vs. donkey, respectively; these DEPs were mainly involved in metabolism. Genetic variation and regulatory factors can combine as a database to provide more valuable molecular information for further analysis.

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Source
http://dx.doi.org/10.1080/10495398.2022.2134883DOI Listing

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