Haimei Wang

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
Animal Molecular Breeding, 2024, Vol. 14, No. 2   
Received: 14 Jan., 2024    Accepted: 26 Feb., 2024    Published: 07 Mar., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The livestock sector is under increasing pressure to meet the growing demand for animal products while improving animal health, performance, and reducing environmental impact. Integrative omics approaches, encompassing genomics, transcriptomics, proteomics, epigenomics, and metabolomics, offer promising avenues to address these challenges. These technologies enable a deeper understanding of the genetic and molecular mechanisms underlying economically important traits, such as feed efficiency, meat quality, and disease resistance. Despite significant advancements, the integration of multi-omics data into breeding strategies remains complex, requiring sophisticated analytical methods and better functional genome annotation. Initiatives like the Functional Annotation of Animal Genomes (FAANG) project are pivotal in overcoming these limitations. By leveraging integrative network modeling and multi-tissue transcriptomic profiles, researchers can elucidate the intricate regulatory networks that drive genotype-phenotype associations. This comprehensive approach is expected to enhance the accuracy of genomic predictions and breeding values, ultimately leading to more efficient and sustainable livestock production systems.

Integrative omics; Livestock breeding; Genomic selection; Multi-omics data; Functional genome annotation