ODFM, an omics data resource from microorganisms associated with fermented foods

Area of Science:

• Microbiology
• Bioinformatics
• Food Science

Background:

• Fermented foods rely on diverse microbial communities.
• Understanding these microbiomes is crucial for food quality and safety.
• Existing data on fermented food microorganisms is fragmented.

Purpose of the Study:

• To develop a comprehensive data management system for fermented food microorganisms.
• To integrate diverse omics data (genome, metagenome, transcriptome) for these microbes.
• To provide tools for microbial analysis and identification of fermentation starters.

Main Methods:

• Data integration of omics sequences (genome, metagenome, metataxonome, transcriptome).
• Implementation of Basic Local Alignment Search Tool (BLAST) for sequence alignment.
• Inclusion of average nucleotide identity (ANI) for genetic relatedness analysis.

Main Results:

• The ODFM database includes 131 bacterial, 38 archaeal, and 28 eukaryotic genomes.
• Provides tools for gene diversity and taxonomic analyses.
• Genome sequences and annotations are downloadable; microbial strains will be available.

Conclusions:

• ODFM is a valuable resource for studying fermented food microbiomes.
• Facilitates the evaluation of microbial isolates as fermentation starters.
• Supports research in food microbiology and biotechnology.