Integrating omics databases for enhanced crop breeding

Author:

Chao Haoyu1,Zhang Shilong1,Hu Yueming1,Ni Qingyang1,Xin Saige1,Zhao Liang1,Ivanisenko Vladimir A.2,Orlov Yuriy L.234ORCID,Chen Ming1

Affiliation:

1. Department of Bioinformatics, College of Life Sciences , Zhejiang University , Hangzhou 310058 , China

2. Institute of Cytology and Genetics , Siberian Branch of the Russian Academy of Sciences , Novosibirsk 630090 , Russia

3. Agrarian and Technological Institute , Peoples’ Friendship University of Russia , Moscow 117198 , Russia

4. The Digital Health Institute , I.M. Sechenov First Moscow State Medical University of the Russian Ministry of Health (Sechenov University) , Moscow 119991 , Russia

Abstract

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.

Funder

National Natural Science Foundation of China

The 151 Talent Project, and S&T Innovation Leader of Zhejiang Province

Jiangsu Collaborative Innovation Center for Modern Crop Production

Collaborative Innovation Center for Modern Crop Production co-sponsored by province and ministry

RSF-NSFC Cooperation project

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Special Issue on “Plant Biology and Biotechnology: Focus on Genomics and Bioinformatics 2.0”;International Journal of Molecular Sciences;2023-12-18

2. Bioinformatics tools for the sequence complexity estimates;Biophysical Reviews;2023-09-15

3. BGRS: bioinformatics of genome regulation and data integration;Journal of Integrative Bioinformatics;2023-09-01

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