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Updated: Mar 10, 2026

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

PlaNet: Comparative Co-Expression Network Analyses for Plants.

Sebastian Proost¹, Marek Mutwil²

¹Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany.

Methods in Molecular Biology (Clifton, N.J.)

|December 18, 2016

Summary

This summary is machine-generated.

Gene co-expression networks reveal functional gene relationships across species. The PlaNet database facilitates knowledge transfer and discovery of conserved gene modules in plants.

Keywords:

Co-expression Comparative transcriptomics Function prediction Functional association Gene modules Gene networks Knowledge transfer

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Area of Science:

Genomics
Bioinformatics
Systems Biology

Background:

Gene functional relationships are crucial for understanding biological processes.
Gene co-expression networks are valuable for inferring gene function and transferring knowledge across species.
Transcriptomic data availability across multiple plant species enables comparative co-expression network analysis.

Purpose of the Study:

To describe the PlaNet database, a resource for comparative co-expression network analysis in plants.
To demonstrate the utility of PlaNet for predicting gene function and transferring functional knowledge.
To showcase the discovery of conserved and multiplied gene modules using comparative network approaches.

Main Methods:

Construction and comparative analysis of co-expression networks for 11 plant species.
Development of database tools for querying and analyzing plant gene co-expression data.
Application of network analysis to identify conserved and novel gene modules.

Main Results:

PlaNet integrates comparative co-expression network data for 11 plant species.
The database tools enable prediction of gene function based on network context.
Conserved and species-specific gene modules across plant species were identified.

Conclusions:

Comparative co-expression network analysis is a powerful approach for plant gene function prediction.
The PlaNet database serves as a valuable resource for the plant research community.
PlaNet facilitates cross-species knowledge discovery and understanding of gene module evolution.