Tian, R.; Mahmoodi, M.; Tian, J.; Esmailizadeh Koshkoiyeh, S.; Zhao, M.; Saminzadeh, M.; Li, H.; Wang, X.; Li, Y.; Esmailizadeh, A. Leveraging Functional Genomics for Understanding Beef Quality Complexities and Breeding Beef Cattle for Improved Meat Quality. Preprints2024, 2024081038. https://doi.org/10.20944/preprints202408.1038.v1
APA Style
Tian, R., Mahmoodi, M., Tian, J., Esmailizadeh Koshkoiyeh, S., Zhao, M., Saminzadeh, M., Li, H., Wang, X., Li, Y., & Esmailizadeh, A. (2024). Leveraging Functional Genomics for Understanding Beef Quality Complexities and Breeding Beef Cattle for Improved Meat Quality. Preprints. https://doi.org/10.20944/preprints202408.1038.v1
Chicago/Turabian Style
Tian, R., Yuan Li and Ali Esmailizadeh. 2024 "Leveraging Functional Genomics for Understanding Beef Quality Complexities and Breeding Beef Cattle for Improved Meat Quality" Preprints. https://doi.org/10.20944/preprints202408.1038.v1
Abstract
Consumer perception of beef is heavily influenced by overall meat quality, a critical factor in the cattle industry. Genomics has the potential to improve important beef quality traits and identify genetic markers and causal variants associated with these traits by genomic selection (GS), and genome-wide association studies (GWAS) approaches. Transcriptomics, proteomics, and metabolomics provide insights into underlying genetic mechanisms by identifying differentially expressed genes, proteins, and metabolic pathways linked to quality traits, complementing GWAS data. Leveraging these functional genomics techniques can optimize beef cattle breeding for enhanced quality traits to meet high-quality beef demand. This paper provides a comprehensive overview of the current state applications of the omics technologies in uncovering functional variants underlying beef quality complexities. By highlighting the latest findings from GWAS, GS, transcriptomics, proteomics, and metabolomics studies, this work seeks to serve as a valuable resource fostering a deeper understanding of the complex relationships between genetics, gene expression, protein dynamics, and metabolic pathways in shaping beef quality.
Biology and Life Sciences, Animal Science, Veterinary Science and Zoology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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