CoFly: A gene coexpression database for the fruit fly Drosophila melanogaster

Area of Science:

• Genomics
• Bioinformatics
• Model Organisms

Background:

• Fruit flies (Drosophila melanogaster) are crucial model organisms for biomedical research and pest management.
• Extensive microarray data exists for fruit fly transcriptomes across diverse conditions, but lacks a centralized database.
• Existing data is fragmented, hindering comprehensive analysis and gene function discovery.

Purpose of the Study:

• To develop a user-friendly database for exploring fruit fly gene expression data.
• To identify gene coexpression modules associated with specific phenotypes and experimental conditions.
• To facilitate novel gene function discovery through module-based analysis.

Main Methods:

• Collected and analyzed 4,367 fruit fly microarray samples from the Gene Expression Omnibus (GEO).
• Applied weighted gene coexpression network analysis (WGCNA) to identify gene modules.
• Developed an accessible online database for data exploration.

Main Results:

• Identified 51 significant gene coexpression modules linked to cell types, tissues, developmental stages, and exposures.
• Reduced high-dimensional gene expression data to tens of trait-associated modules, serving as phenotypic signatures.
• Discovered six modules enriched in clustered genomic regions and identified hub genes via intramodule connectivity.
• Found cell signaling modules to be more interconnected in higher-order networks.

Conclusions:

• The developed database provides a valuable resource for fruit fly gene function studies.
• Module-based analysis effectively reduces data complexity and reveals biologically relevant gene groupings.
• This approach aids in understanding complex biological processes and identifying potential targets for pest control and biomedicine.