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

Zuffa, S.; Schmid, R.; Bauermeister, A.; P. Gomes, P. W.; Caraballo-Rodriguez, A. M.; El Abiead, Y.; Aron, A. T.; Gentry, E. C.; Zemlin, J.; Meehan, M. J.; Avalon, N. E.; Cichewicz, R. H.; Buzun, E.; Carrillo Terrazas, M.; Hsu, C.-Y.; Oles, R.; Vasquez Ayala, A.; Zhao, J.; Chu, H.; Kuijpers, M. C. M.; Jackrel, S. L.; Tugizimana, F.; Nephali, L. P.; Dubery, I. A.; Madala, N. E.; Moreira, E. A.; Costa-Lotufo, L. V.; Lopes, N. P.; Rezende-Teixeira, P.; Jimenez, P. C.; Rimal, B.; Patterson, A. D.; Traxler, M. F.; Pessotti, R. d. C.; Alvarado-Villalobos, D.; Tamayo-Castillo, G.; Chaverri, P.; Escud

2023-07-20 microbiology
10.1101/2023.07.20.549584 bioRxiv
Show abstract

MicrobeMASST, a taxonomically-informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbial-derived metabolites and relative producers, without a priori knowledge, will vastly enhance the understanding of microorganisms role in ecology and human health.

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