整合 omics 数据库,促进作物育种。

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2023-07-25 eCollection Date: 2023-12-01 DOI:10.1515/jib-2023-0012
Haoyu Chao, Shilong Zhang, Yueming Hu, Qingyang Ni, Saige Xin, Liang Zhao, Vladimir A Ivanisenko, Yuriy L Orlov, Ming Chen
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引用次数: 0

摘要

作物育种包括选择和开发具有理想性状的植物新品种,如增加产量、提高抗病性和营养价值。随着基因组学、转录组学和代谢组学等高通量技术的发展,作物育种进入了一个新时代。然而,要有效利用这些技术,需要整合来自不同数据库的多组学数据。通过整合组学数据,可以全面了解植物性状背后的生物过程及其相互作用。本综述强调了在农作物育种中整合 omics 数据库的重要性,讨论了可用的 omics 数据和数据库,介绍了整合面临的挑战,并重点介绍了最新进展和潜在效益。总之,整合表型组学数据库是加强作物育种和提高全球粮食安全的关键一步。
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Integrating omics databases for enhanced crop breeding.

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.

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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
期刊最新文献
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