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. 2024 Feb;9(2):336-345.
doi: 10.1038/s41564-023-01575-9. Epub 2024 Feb 5.

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

Simone Zuffa #  1   2 Robin Schmid #  1   2 Anelize Bauermeister #  1   2   3 Paulo Wender P Gomes  1   2 Andres M Caraballo-Rodriguez  1   2 Yasin El Abiead  1   2 Allegra T Aron  4 Emily C Gentry  5 Jasmine Zemlin  1   6 Michael J Meehan  1 Nicole E Avalon  7 Robert H Cichewicz  8 Ekaterina Buzun  9 Marvic Carrillo Terrazas  9 Chia-Yun Hsu  9 Renee Oles  9 Adriana Vasquez Ayala  9 Jiaqi Zhao  9 Hiutung Chu  9   10 Mirte C M Kuijpers  11 Sara L Jackrel  11 Fidele Tugizimana  12   13 Lerato Pertunia Nephali  12 Ian A Dubery  12 Ntakadzeni Edwin Madala  14 Eduarda Antunes Moreira  15 Leticia Veras Costa-Lotufo  3 Norberto Peporine Lopes  15 Paula Rezende-Teixeira  3 Paula C Jimenez  16 Bipin Rimal  17 Andrew D Patterson  17 Matthew F Traxler  18 Rita de Cassia Pessotti  18 Daniel Alvarado-Villalobos  19 Giselle Tamayo-Castillo  19   20 Priscila Chaverri  21   22   23 Efrain Escudero-Leyva  24 Luis-Manuel Quiros-Guerrero  25   26 Alexandre Jean Bory  25   26 Juliette Joubert  25   26 Adriano Rutz  25   26   27 Jean-Luc Wolfender  25   26 Pierre-Marie Allard  25   26   28 Andreas Sichert  27 Sammy Pontrelli  27 Benjamin S Pullman  29 Nuno Bandeira  1   29 William H Gerwick  1   7 Katia Gindro  30 Josep Massana-Codina  30 Berenike C Wagner  31 Karl Forchhammer  31 Daniel Petras  32 Nicole Aiosa  33 Neha Garg  33   34 Manuel Liebeke  35   36 Patric Bourceau  35 Kyo Bin Kang  37 Henna Gadhavi  38   39 Luiz Pedro Sorio de Carvalho  38   40 Mariana Silva Dos Santos  41 Alicia Isabel Pérez-Lorente  42 Carlos Molina-Santiago  42 Diego Romero  42 Raimo Franke  43 Mark Brönstrup  43   44 Arturo Vera Ponce de León  45 Phillip Byron Pope  45   46 Sabina Leanti La Rosa  45   46 Giorgia La Barbera  47 Henrik M Roager  47 Martin Frederik Laursen  48 Fabian Hammerle  49 Bianka Siewert  49 Ursula Peintner  50 Cuauhtemoc Licona-Cassani  51 Lorena Rodriguez-Orduña  51 Evelyn Rampler  52 Felina Hildebrand  52   53 Gunda Koellensperger  52   54 Harald Schoeny  52 Katharina Hohenwallner  52   53 Lisa Panzenboeck  52   53 Rachel Gregor  55 Ellis Charles O'Neill  56 Eve Tallulah Roxborough  56 Jane Odoi  57 Nicole J Bale  58 Su Ding  58 Jaap S Sinninghe Damsté  58 Xue Li Guan  59 Jerry J Cui  60 Kou-San Ju  60   61   62   63 Denise Brentan Silva  64 Fernanda Motta Ribeiro Silva  64 Gilvan Ferreira da Silva  65 Hector H F Koolen  66 Carlismari Grundmann  67 Jason A Clement  68 Hosein Mohimani  69 Kirk Broders  70 Kerry L McPhail  71 Sidnee E Ober-Singleton  72 Christopher M Rath  73 Daniel McDonald  74 Rob Knight  29   74   75 Mingxun Wang  76 Pieter C Dorrestein  77   78
Affiliations

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

Simone Zuffa et al. Nat Microbiol. 2024 Feb.

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.

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Conflict of interest statement

P.C.D. is an advisor to Cybele, consulted for MSD animal health in 2023 and is a co-founder and scientific advisor for Ometa Labs, Arome and Enveda, with previous approval from the University of California, San Diego. M.W. is a co-founder of Ometa labs. There are no known conflicts of interest in this work by the USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture. R.K. is a scientific advisory board member and consultant for BiomeSense, Inc., where he has equity and receives income. The terms of this arrangement have been reviewed and approved by the University of California, San Diego in accordance with its conflict-of-interest policies. The other authors declare no competing interests.

Figures

Fig. 1
Fig. 1. The microbeMASST search tool and reference database.
a, Community contributions of data and knowledge to GNPS, ReDU and MassIVE from 2014 to 2022 were used to generate the microbeMASST reference database. In addition, a public invitation to deposit data in June 2022 resulted in the further deposition of LC–MS/MS files from 25 different laboratories from 15 different countries across the globe, leading to the curation of a total of 60,781 LC–MS/MS files of microbial monoculture extracts. b, microbeMASST comprises 1,858 unique lineages across three different domains of life mapped to 541 unique strains, 1,336 species, 539 genera, 264 families, 109 orders, 41 classes and 16 phyla. c, Examples of medically relevant small molecules known to be produced by bacteria or fungi. Lovastatin, a cholesterol-lowering drug originally isolated from Aspergillus genus; salinosporamide A, a Phase III candidate to treat glioblastoma produced by Salinispora tropica; and commendamide, a human G-protein-coupled receptor agonist. d, microbeMASST search outputs of the three different molecules of interest confirm that they were exclusively found in monocultures of the only known producers. Pie charts display the proportion of MS/MS matches found in the deposited reference database. Blue indicates a match with a monoculture, while yellow represents a non-match. Searches were performed using MS/MS spectra deposited in the GNPS reference library: lovastatin (CCMSLIB00005435737), salinosporamide A (CCMSLIB00010013003) and commendamide (CCMSLIB00004679239). GNPS, ReDU and microbeMASST logos reproduced under a Creative Commons license CC BY 4.0.
Fig. 2
Fig. 2. microbeMASST can identify microbial MS/MS spectra within mouse and human datasets.
a, Workflow to extract microbial MS/MS spectra from biochemical profiles of 29 different tissues and biofluids of SPF mice that are not observed in GF mice. The MS/MS spectra unique to SPF mice (10,047) were searched with microbeMASST. A total of 3,262 MS/MS spectra had a match; those MS/MS also matching human cell lines were removed, leaving a total of 2,425 putative microbial MS/MS spectra (see Methods to download .mgf file). b, The presence of the 2,425 MS/MS spectra was evaluated in an additional animal study looking at antibiotic usage. A total of 512 MS/MS spectra, out of the 621 overlapping, were exclusively found in animals not receiving antibiotics. c, UpSet plot of the distribution of the detected MS/MS spectra (512) across bacterial phyla. Terpenoids were more commonly observed across phyla, while amino acids and peptides appeared to be more phylum specific. d, The 512 MS/MS spectra were searched in human datasets and 455 were found to have a match. These MS/MS spectra were present in both healthy individuals and individuals affected by different diseases. e, Most of the MS/MS spectra (n = 411) matched faecal samples (n = 110,973 matches), followed by blood, oral cavity, breast milk, urine and several other organs. CSF, cerebral spinal fluid; COVID-19, coronavirus disease 2019; HIV, human immunodeficiency virus; PBI, primary bacterial infectious disease; SD, sleep disorder; AD, Alzheimer’s disease; IS, ischaemic stroke; KD, Kawasaki disease; IBD, inflammatory bowel disease; T2D, type II diabetes. GNPS and and microbeMASST logos reproduced under a Creative Commons license CC BY 4.0; SIRIUS logo reproduced under a Creative Commons license CC BY 4.0-ND.

Update of

  • A Taxonomically-informed Mass Spectrometry Search Tool for Microbial Metabolomics Data.
    Zuffa S, Schmid R, Bauermeister A, Gomes PWP, Caraballo-Rodriguez AM, Abiead YE, Aron AT, Gentry EC, Zemlin J, Meehan MJ, Avalon NE, Cichewicz RH, Buzun E, Terrazas MC, Hsu CY, Oles R, Ayala AV, Zhao J, Chu H, Kuijpers MCM, Jackrel SL, Tugizimana F, Nephali LP, Dubery IA, Madala NE, Moreira EA, Costa-Lotufo LV, Lopes NP, Rezende-Teixeira P, Jimenez PC, Rimal B, Patterson AD, Traxler MF, de Cassia Pessotti R, Alvarado-Villalobos D, Tamayo-Castillo G, Chaverri P, Escudero-Leyva E, Quiros-Guerrero LM, Bory AJ, Joubert J, Rutz A, Wolfender JL, Allard PM, Sichert A, Pontrelli S, Pullman BS, Bandeira N, Gerwick WH, Gindro K, Massana-Codina J, Wagner BC, Forchhammer K, Petras D, Aiosa N, Garg N, Liebeke M, Bourceau P, Kang KB, Gadhavi H, de Carvalho LPS, Dos Santos MS, Pérez-Lorente AI, Molina-Santiago C, Romero D, Franke R, Brönstrup M, de León AVP, Pope PB, Rosa SL, Barbera G, Roager HM, Laursen MF, Hammerle F, Siewert B, Peintner U, Licona-Cassani C, Rodriguez-Orduña L, Rampler E, Hildebrand F, Koellensperger G, Schoeny H, Hohenwallner K, Panzenboeck L, Gregor R, O'Neill EC, Roxborough ET, Odoi J, Bale NJ, Ding S, Sinninghe Damsté JS, Guan XL, Cui JJ, Ju KS, Silva DB, Silva FMR, da Si… See abstract for full author list ➔ Zuffa S, et al. Res Sq [Preprint]. 2023 Aug 3:rs.3.rs-3189768. doi: 10.21203/rs.3.rs-3189768/v1. Res Sq. 2023. Update in: Nat Microbiol. 2024 Feb;9(2):336-345. doi: 10.1038/s41564-023-01575-9. PMID: 37577622 Free PMC article. Updated. Preprint.

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