CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks

Area of Science:

• Microbiology
• Bioinformatics
• Systems Biology

Background:

• Transcriptional regulation is crucial for bacterial adaptation and survival.
• The Corynebacterium genus holds significant importance in medical, veterinary, and biotechnological fields.
• Limited knowledge exists regarding the transcriptional regulation within many Corynebacterium species.

Purpose of the Study:

• To present CoryneRegNet 7, an updated database of corynebacterial regulatory interactions.
• To expand the coverage of transcriptional regulatory networks (TRNs) for the Corynebacterium genus.
• To provide a resource for understanding bacterial adaptation, survival, and infection mechanisms.

Main Methods:

• Genome-scale transfer of TRNs from four model organisms to 224 corynebacterial strains.
• Assignment of statistical significance values to all predicted regulatory interactions.
• Reimplementation of the database's back-end and front-end for enhanced functionality and scalability.

Main Results:

• Successfully unraveled TRNs for 224 corynebacterial strains, a twenty-fold increase in coverage.
• CoryneRegNet 7 is established as the largest TRN database for the Corynebacterium genus.
• The database provides statistically validated regulatory interactions.

Conclusions:

• CoryneRegNet 7 significantly advances the study of transcriptional regulation in the Corynebacterium genus.
• The database facilitates research into bacterial adaptation, survival, and infection processes.
• The updated platform supports future growth and new features for extended research applications.