ODB: a database of operons accumulating known operons across multiple genomes

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Operons are crucial for co-regulation in prokaryotes, but genome-wide operon databases are scarce.
• Existing databases often cover only specific genomes, limiting comprehensive analysis.

Purpose of the Study:

• To develop a comprehensive Operon DataBase (ODB) for retrieving known and predicting putative operons.
• To integrate diverse data types for improved operon prediction accuracy.

Main Methods:

• Developed ODB, a data retrieval system for known operons across multiple genomes.
• Integrated genome context, gene co-expression, pathway data, and gene order conservation for operon prediction.
• Validated predictions using literature-derived operon information.

Main Results:

• The ODB contains approximately 2000 known operons in over 50 genomes.
• The database includes about 13,000 putative operons conserved across more than 200 genomes.
• The system successfully integrates literature and genomic data for reliable operon identification.

Conclusions:

• ODB serves as a valuable resource for bioinformatics researchers and experimental biologists.
• The integrated approach enhances the reliability of operon predictions.
• The database facilitates a deeper understanding of prokaryotic gene regulation.