MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins

Gang Yu , Cuifang Xu , Xiaoyan Wang , Feng Ju , Junfen Fu , Yan Ni

iMeta ›› 2024, Vol. 3 ›› Issue (6) : e246

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iMeta ›› 2024, Vol. 3 ›› Issue (6) :e246 DOI: 10.1002/imt2.246
RESEARCH ARTICLE
MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins
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Abstract

First introduced in 2021, MetOrigin has quickly established itself as a powerful web server to distinguish microbial metabolites and identify the bacteria responsible for specific metabolic processes. Building on the growing understanding of the interplay between the microbiome and metabolome, and in response to user feedback, MetOrigin has undergone a significant upgrade to version 2.0. This enhanced version incorporates three new modules: (1) Quick search module that facilitates the rapid identification of bacteria associated with a particular metabolite; (2) Orthology analysis module that links metabolic enzyme genes with their corresponding bacteria; (3) Mediation analysis module that investigates potential causal relationships among bacteria, metabolites, and phenotypes, highlighting the mediating role of metabolites. Additionally, the backend MetOrigin database has been updated with the latest data from seven public databases (KEGG, HMDB, BIGG, ChEBI, FoodDB, Drugbank, and T3DB), with expanded coverage of 210,732 metabolites, each linked to its source organism. MetOrigin 2.0 is freely accessible at http://metorigin.met-bioinformatics.cn.

Keywords

mediation analysis / metabolome / metabolic reaction / microbiome / origin analysis / orthology analysis / phenotype

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Gang Yu, Cuifang Xu, Xiaoyan Wang, Feng Ju, Junfen Fu, Yan Ni. MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins. iMeta, 2024, 3(6): e246 DOI:10.1002/imt2.246

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2024 The Author(s). iMeta published by John Wiley & Sons Australia, Ltd on behalf of iMeta Science.

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