Integrating omics databases for enhanced crop breeding

• Published in: Journal of integrative bioinformatics Vol. 20; no. 4; pp. 235 - 61
• Main Authors: Chao, Haoyu, Zhang, Shilong, Hu, Yueming, Ni, Qingyang, Xin, Saige, Zhao, Liang, Ivanisenko, Vladimir A., Orlov, Yuriy L., Chen, Ming
• Format: Journal Article
• Language: English
• Published: Germany De Gruyter 01.12.2023
• Subjects: crop plant breeding; data integration; omics; plant biology; Review; databases; crop plant breeding; plant biology; omics; data integration
• ISSN: 1613-4516; 1613-4516
• DOI: 10.1515/jib-2023-0012

Crop plant breeding involves selecting and developing new plant varieties with desirable traits such as increased yield, improved disease resistance, and enhanced nutritional value. With the development of high-throughput technologies, such as genomics, transcriptomics, and metabolomics, crop breeding has entered a new era. However, to effectively use these technologies, integration of multi-omics data from different databases is required. Integration of omics data provides a comprehensive understanding of the biological processes underlying plant traits and their interactions. This review highlights the importance of integrating omics databases in crop plant breeding, discusses available omics data and databases, describes integration challenges, and highlights recent developments and potential benefits. Taken together, the integration of omics databases is a critical step towards enhancing crop plant breeding and improving global food security.