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.
J Integr Bioinform. 2023 Jul 25;20(4). doi: 10.1515/jib-2023-0012. eCollection 2023 Dec 1.
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.
作物植物育种包括选择和开发具有理想特性的新植物品种，例如增加产量、提高抗病性和增强营养价值。随着高通量技术（如基因组学、转录组学和代谢组学）的发展，作物育种已经进入了一个新时代。然而，为了有效地利用这些技术，需要整合来自不同数据库的多组学数据。组学数据的整合提供了对植物性状及其相互作用背后的生物学过程的全面理解。这篇综述强调了在作物植物育种中整合组学数据库的重要性，讨论了可用的组学数据和数据库，描述了整合挑战，并强调了最近的发展和潜在的好处。总之，整合组学数据库是提高作物植物育种和改善全球粮食安全的关键步骤。
