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[Preprint]. 2026 Jan 26:2026.01.24.701521.
doi: 10.64898/2026.01.24.701521.

Community Curation of Microbial Metabolites Enables Biological Insights of Metabolomics Data

Helena Mannochio-Russo  1 Wilhan D Gonçalves Nunes  1 Shipei Xing  1 Fernanda de Oliveira  1   2 Andrés Mauricio Caraballo-Rodríguez  1 Paulo Wender Portal Gomes  1   3 Vincent Charron-Lamoureux  1 Julius Agongo  1 Nicole E Avalon  4   5   6 Tammy Bui  1 Lucia Cancelada  7   8 Marc G Chevrette  9   10 Andrés Cumsille  9   10 Moysés B de Araújo  11   12 Marilyn De Graeve  1   13 Victoria Deleray  1 Mohamed S Donia  14 Mutsawashe B Dzveta  15 Yasin El Abiead  1 Ronald J Ellis  16   17 Donald Franklin Jr  18   17 Neha Garg  19   20 Harsha Gouda  1 Claude Y Hamany Djande  15 Anastasia Hiskia  21 Benjamin N Ho  1 Chambers C Hughes  22   23   24 Sunghoon Hwang  14 Sofia Iliakopoulou  25 Jennifer E Iudicello  18   17 Alan K Jarmusch  1   26 Triantafyllos Kaloudis  25   21 Irina Koester  7   27 Robert Konkel  28 Hector H F Koolen  11 Kine Eide Kvitne  1 Sabina Leanti La Rosa  29 Anny Lam  1 Santosh Lamichhane  30 Motseoa Lephatsi  15 Scott Letendre  17   31 Sarolt Magyari  1   32 Hanna Mazur-Marzec  28 Daniel McDonald  33 Ipsita Mohanty  1 Mónica Monge-Loría  19 David J Moore  18   17 Thiago André Moura Veiga  34 Musiwalo S Mulaudzi  15 Lerato Nephali  35 Griffith Nguyen  1 Martin Orságh  36   37 Abubaker Patan  1 Tomáš Pluskal  36 Phillip B Pope  29   38 Lívia Soman de Medeiros  34 Paolo Stincone  39 Andrej Tekel  36   37 Sydney Thomas  1 Ralph R Torres  7 Shirley M Tsunoda  1 Fidele Tugizimana  15 Martijn van Faassen  40 Felipe Vasquez-Castro  1 Giovanni A Vitale  39 Berenike C Wagner  39 Crystal X Wang  18   17 Sevasti-Kiriaki Zervou  21 Haoqi Nina Zhao  1 Simone Zuffa  1 Daniel Petras  39   41 Laura-Isobel McCall  42 Rob Knight  33   43   44   45   46   47 Mingxun Wang  48 Pieter C Dorrestein  1   49   50   51
Affiliations

Community Curation of Microbial Metabolites Enables Biological Insights of Metabolomics Data

Helena Mannochio-Russo et al. bioRxiv. .

Abstract

Microbial metabolites play a critical role in regulating ecosystems, including the human body and its microbiota. However, understanding the physiologically relevant role of these molecules, especially through liquid chromatography tandem mass spectrometry (LC-MS/MS)-based untargeted metabolomics, poses significant challenges and often requires manual parsing of a large amount of literature, databases, and webpages. To address this gap, we established the Collaborative Microbial Metabolite Center knowledgebase (CMMC-KB), a platform that fosters collaborative efforts within the scientific community to curate knowledge about microbial metabolites. The CMMC-KB aims to collect comprehensive information about microbial molecules originating from microbial biosynthesis, drug metabolism, exposure-related molecules, food, host-derived molecules, and, whenever available, their known activities. Molecules from other sources, including host-produced, dietary, and pharmaceutical compounds, are also included. By enabling direct integration of this knowledgebase with downstream analytical tools, including molecular networking, we can deepen insights into microbiota and their metabolites, ultimately advancing our understanding of microbial ecosystems.

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Figures

Figure 1.
Figure 1.. Overview of the CMMC-KB capabilities and depositions.
(a) Inputs accepted for community depositions and current numbers as of December 2025. (b) CMMC enrichment workflow in GNPS2, which annotates molecular networks (generated from Classical or Feature-Based Molecular Networking,) by matching experimental spectra to the CMMC-KB and retrieving associated metadata. (c) Download options as MGF and TSV files, enabling reuse in third-party software and in-house workflows. (d) The CMMC-Dashboard is a web application that enables users to utilize outputs from the FBMN and CMMC enrichment workflows, along with uploaded metadata, to generate visualizations for exploring matches to the CMMC-KB (e.g., boxplots for statistical evaluation, structure cards, UpSet-style overviews, and microbeMASST integration). Distribution of the deposited compounds (December 2025) by (e) molecule source and (f) molecule origin. Icons were obtained from Bioicons.com.
Figure 2.
Figure 2.. Application of CMMC-KB enrichment to fecal metabolomics data from the American Gut Project.
(a) Source distribution of metabolites matched to the CMMC-KB from a subset of the American Gut Project (n = 1,993 samples). The UpSet plot was generated using the CMMC-Dashboard. (b) Molecular network visualization with nodes colored by metabolite source annotation from the CMMC-KB. Each node represents a unique mass spectral feature, and edges connect features with similar MS/MS spectra (cosine similarity threshold set to 0.5). (c-e) Zoomed-in views of selected molecular networks with distinct source annotations. These subnetworks illustrate the tool’s capability to rapidly identify and visualize structurally related compounds sharing common sources within complex metabolomic datasets. The colors of the nodes in b-e match the upset plot colors in a.

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