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

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Published on: June 17, 2012

Deciphering ascorbic acid regulatory pathways in ripening tomato fruit using a weighted gene correlation network

Chao Gao¹, Zheng Ju, Shan Li

¹Laboratory of Fruit Biology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.

Journal of Integrative Plant Biology

|May 31, 2013

Summary

This study identifies key genes and pathways regulating L-Ascorbic acid (AsA) accumulation in tomato fruit. Findings reveal strong correlations between redox and hormone signaling pathways and AsA content, prioritizing genes for future research.

Keywords:

Gene co-expression L-ascorbic acid network system biology weighted gene correlation network analysis approach

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Area of Science:

Plant molecular biology
Nutritional biochemistry
Agricultural science

Background:

Gene co-expression analysis integrated with physiological data offers insights into plant gene function and regulation.
L-Ascorbic acid (AsA) is vital for human health and plant metabolism, influencing processes like stress resistance and hormone signaling.

Purpose of the Study:

To identify gene modules and key genes associated with L-Ascorbic acid (AsA) content in ripening tomato fruit.
To explore the regulatory mechanisms and pathways involved in AsA accumulation.

Main Methods:

Weighted gene correlation network analysis (WGCNA) was employed using gene expression and AsA content data from tomato fruit.
Gene expression profiling was used to compartmentalize genes into distinct modules.

Main Results:

Twenty-four gene co-expression modules were identified.
A negatively correlated module involved in redox processes and a positively correlated module enriched with AsA biosynthesis and recycling genes were highlighted.
Redox and hormone-signal pathways were found to be closely linked to AsA accumulation in tomato fruit.

Conclusions:

The study successfully identified critical gene networks and pathways influencing AsA levels in tomato fruit.
Candidate genes involved in redox and hormone signaling pathways are prioritized for further investigation into AsA regulation.