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Sample Preparation for Mass-spectrometry-based Proteomics Analysis of Ocular Microvessels
Published on: February 22, 2019
Application of Omics in Donkey Meat Research: A Review
Qifei Zhu1, Yongdong Peng1, Xiaotong Liu1
1Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng 252000, China.
Abstract:
This review comprehensively examines the molecular basis of donkey meat characteristics and growth-associated genes, integrating findings from multiple omics approaches. This study examines the nutritional profile of donkey meat, which is rich in protein, essential amino acids, and unsaturated fatty acids. Through a systematic literature search across Web of Science, Google Scholar, PubMed, and Scopus databases (2000-2024), we collected and analyzed data from 400 research articles using predefined inclusion criteria focused on nutritional composition, omics approaches, and meat quality parameters in donkey populations. The study also evaluates various factors affecting meat quality, including breed differences, age, feeding management, and storage conditions. Advanced genomic and transcriptomic analyses have revealed numerous candidate genes, such as ACTN3, BMP7, NR6A1, Wnt7a, HOXC8, LCORL, TPM2, and TPM3, associated with growth traits and meat quality characteristics, providing valuable insights for genetic improvement programs. Furthermore, the review discusses various authentication methods for ensuring donkey meat quality and preventing adulteration, highlighting the integration of traditional and modern analytical approaches.

