A Taxonomically-informed Mass Spectrometry Search Tool for Microbial Metabolomics Data

Area of Science:

• Microbiology
• Metabolomics
• Bioinformatics

Background:

• Untargeted metabolomics experiments often face challenges in annotating microbial metabolites.
• Accurate identification of microbial metabolites and their producers is crucial for understanding microbial roles in ecology and human health.

Approach:

• MicrobeMASST is a novel, taxonomically-informed mass spectrometry (MS) search tool.
• It utilizes a curated database of over 60,000 microbial monocultures.
• Users can search MS/MS spectra against this database to link metabolites to their microbial origins via fragmentation patterns.

Key Points:

• Enables identification of known and unknown microbial metabolites.
• Links identified metabolites to their specific microbial producers without prior knowledge.
• Leverages MS/MS fragmentation patterns for accurate metabolite-producer associations.

Conclusions:

• MicrobeMASST significantly advances microbial metabolite annotation in untargeted metabolomics.
• Facilitates a deeper understanding of microorganisms' contributions to ecological processes and human health.
• Provides a powerful tool for researchers in microbiology, metabolomics, and related fields.