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microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data

  • Simone Zuffa
  • , Robin Schmid
  • , Anelize Bauermeister
  • , Paulo Wender Paulo
  • , Andres M. Caraballo-Rodriguez
  • , Yasin El Abiead
  • , Allegra T. Aron
  • , Emily C. Gentry
  • , Jasmine Zemlin
  • , Michael J. Meehan
  • , Nicole E. Avalon
  • , Robert H. Cichewicz
  • , Ekaterina Buzun
  • , Marvic Carrillo Terrazas
  • , Chia Yun Hsu
  • , Renee Oles
  • , Adriana Vasquez Ayala
  • , Jiaqi Zhao
  • , Hiutung Chu
  • , Mirte C.M. Kuijpers
  • Sara L. Jackrel, Fidele Tugizimana, Lerato Pertunia Nephali, Ian A. Dubery, Ntakadzeni Edwin Madala, Eduarda Antunes Moreira, Leticia Veras Costa-Lotufo, Norberto Peporine Lopes, Paula Rezende-Teixeira, Paula C. Jimenez, Bipin Rimal, Andrew D. Patterson, Matthew F. Traxler, Rita de Cassia Pessotti, Daniel Alvarado-Villalobos, Giselle Tamayo-Castillo, Priscila Chaverri, Efrain Escudero-Leyva, Luis Manuel Quiros-Guerrero, Alexandre Jean Bory, Juliette Joubert, Adriano Rutz, Jean-Luc Wolfender, Pierre-Marie Allard, Andreas Sichert, Sammy Pontrelli, Benjamin S. Pullman, Nuno Bandeira, William H. Gerwick, Katia Gindro, Josep Massana-Codina, Berenike C. Wagner, Karl Forchhammer, Daniel Petras, Nicole Aiosa, Neha Garg, Manuel Liebeke, Patric Bourceau, Kyo Bin Kang, Henna Gadhavi, Luiz Pedro Sorio de Carvalho, Mariana Silva dos Santos, Alicia Isabel Pérez-Lorente, Carlos Molina-Santiago, Diego Romero, Raimo Franke, Mark Brönstrup, Arturo Vera Ponce de León, Phillip Byron Pope, Sabina Leanti La Rosa, Giorgia La Barbera, Henrik M. Roager, Martin Frederik Laursen, Fabian Hammerle, Bianka Siewert, Ursula Peintner, Cuauhtemoc Licona-Cassani, Lorena Rodriguez-Orduña, Evelyn Rampler, Felina Hildebrand, Gunda Koellensperger, Harald Schoeny, Katharina Hohenwallner, Lisa Panzenboeck, Rachel Gregor, Ellis Charles O’Neill, Eve Tallulah Roxborough, Jane Odoi, Nicole J. Bale, Su Ding, Jaap S. Sinninghe Damsté, Xue Li Guan, Jerry J. Cui, Kou San Ju, Denise Brentan Silva, Fernanda Motta Ribeiro Silva, Gilvan Ferreira da Silva, Hector H.F. Koolen, Carlismari Grundmann, Jason A. Clement, Hosein Mohimani, Kirk Broders, Kerry L. McPhail, Sidnee E. Ober-Singleton, Christopher M. Rath, Daniel McDonald, Rob Knight, Mingxun Wang, Pieter C. Dorrestein*
*Corresponding author for this work
  • University of California at San Diego
  • University of Denver
  • Virginia Polytechnic Institute and State University
  • University of Oklahoma
  • University of Johannesburg
  • University of Venda
  • Universidade Federal de São Paulo
  • Pennsylvania State University
  • University of California at Berkeley
  • University of Costa Rica
  • University of Geneva
  • Agroscope
  • University of Tübingen
  • Georgia Institute of Technology
  • Max Planck Institute for Marine Microbiology
  • Sookmyung Women's University
  • The Francis Crick Institute
  • CSIC - Institute of Subtropical and Mediterranean Horticulture
  • Helmholtz Centre for Infection Research
  • Norwegian University of Life Sciences
  • University of Copenhagen
  • University of Innsbruck
  • Instituto Tecnologico de Estudios Superiores de Monterrey
  • University of Vienna
  • University of Nottingham
  • Royal Netherlands Institute for Sea Research - NIOZ
  • Ohio State University
  • Universidade Federal de Mato Grosso do Sul
  • Empresa Brasileira de Pesquisa Agropecuária
  • Universidade do Estado do Amazonas
  • Hepatitis B Foundation
  • Carnegie Mellon University
  • United States Department of Agriculture
  • Oregon State University
  • University of Oregon
  • University of California at Riverside
  • Nanyang Technological University
  • Massachusetts Institute of Technology
  • Universidade de São Paulo
  • Swiss Federal Institute of Technology Zurich

Research output: Contribution to journal › Letter › peer-review

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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 microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms’ role in ecology and human health.

Original languageEnglish
JournalNature Microbiology
Volume9
Pages (from-to)336-345
Number of pages13
ISSN2058-5276
DOIs
Publication statusPublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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