MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins
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 metabolo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | iMeta |
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| Online Access: | https://doi.org/10.1002/imt2.246 |
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| _version_ | 1846100310236332032 |
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| author | Gang Yu Cuifang Xu Xiaoyan Wang Feng Ju Junfen Fu Yan Ni |
| author_facet | Gang Yu Cuifang Xu Xiaoyan Wang Feng Ju Junfen Fu Yan Ni |
| author_sort | Gang Yu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-36b6e5c8dcd5415c990b76f39ef1a05c |
| institution | Kabale University |
| issn | 2770-596X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | iMeta |
| spelling | doaj-art-36b6e5c8dcd5415c990b76f39ef1a05c2024-12-30T09:53:53ZengWileyiMeta2770-596X2024-12-0136n/an/a10.1002/imt2.246MetOrigin 2.0: Advancing the discovery of microbial metabolites and their originsGang Yu0Cuifang Xu1Xiaoyan Wang2Feng Ju3Junfen Fu4Yan Ni5Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou ChinaChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou ChinaChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou ChinaKey Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering Westlake University Hangzhou ChinaChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou ChinaChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou ChinaAbstract 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.https://doi.org/10.1002/imt2.246mediation analysismetabolomemetabolic reactionmicrobiomeorigin analysisorthology analysis |
| spellingShingle | 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 mediation analysis metabolome metabolic reaction microbiome origin analysis orthology analysis |
| title | MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins |
| title_full | MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins |
| title_fullStr | MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins |
| title_full_unstemmed | MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins |
| title_short | MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins |
| title_sort | metorigin 2 0 advancing the discovery of microbial metabolites and their origins |
| topic | mediation analysis metabolome metabolic reaction microbiome origin analysis orthology analysis |
| url | https://doi.org/10.1002/imt2.246 |
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