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Integrating omics databases for enhanced crop breeding

Haoyu Chao, Shilong Zhang, Yueming Hu, Qingyang Ni, Saige Xin, Liang Zhao, В. А. Иванисенко, Yuriy L. Orlov, Ming Chen

2023Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics59 citationsDOIOpen Access PDF

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.

Topics & Concepts

OmicsData integrationBiotechnologyGenomicsDatabaseGenomic selectionCropFood securityMolecular breedingComputer scienceData scienceBiologyAgricultureBioinformaticsGenomeEcologyGeneSingle-nucleotide polymorphismGenotypeBiochemistryGenetic Mapping and Diversity in Plants and AnimalsGenetics and Plant BreedingWheat and Barley Genetics and Pathology
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