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Updated: Jul 22, 2025

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Integrating omics databases for enhanced crop breeding.

Haoyu Chao¹, Shilong Zhang¹, Yueming Hu¹

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

Journal of Integrative Bioinformatics

|July 24, 2023

Summary

This summary is machine-generated.

Integrating multi-omics data is crucial for crop plant breeding. This approach enhances understanding of plant traits, leading to improved crop varieties and global food security.

Keywords:

crop plant breeding data integration databases omics plant biology

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Published on: July 27, 2021

Area of Science:

Agricultural Science
Plant Biology
Genomics

Background:

Crop plant breeding aims to develop varieties with improved yield, disease resistance, and nutritional value.
High-throughput technologies like genomics, transcriptomics, and metabolomics have advanced crop breeding.
Effective utilization of these technologies necessitates the integration of multi-omics data.

Purpose of the Study:

To review the importance of integrating omics databases in crop plant breeding.
To discuss available omics data and databases.
To highlight challenges, recent developments, and benefits of omics data integration.

Main Methods:

Literature review of omics data integration in crop breeding.
Analysis of existing omics databases and their relevance.
Discussion of challenges and recent advancements in data integration techniques.

Main Results:

Omics data integration provides a comprehensive understanding of biological processes underlying plant traits.
Successful integration facilitates the selection and development of superior crop varieties.
Overcoming integration challenges unlocks significant potential for crop improvement.

Conclusions:

Integration of omics databases is essential for modern crop plant breeding.
This integration accelerates the development of enhanced crop varieties.
Effective omics data integration is critical for improving global food security.