Integrating omics databases for enhanced crop breeding.

Haoyu Chao, Shilong Zhang, Yueming Hu, Qingyang Ni, Saige Xin, Liang Zhao, Vladimir A Ivanisenko, Yuriy L Orlov, Ming Chen

Journal: Journal of integrative bioinformatics 2024;20(4):20230012

PMID: 37486120

Abstract

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.

© 2023 the author(s), published by De Gruyter, Berlin/Boston.

Address: Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.; Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia.; Agrarian and Technological Institute, Peoples' Friendship University of Russia, Moscow 117198, Russia.; The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Russian Ministry of Health (Sechenov University), Moscow 119991, Russia.
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