Yu Gang, Xu Cuifang, Wang Xiaoyan, Ju Feng, Fu Junfen, Ni Yan
Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.
Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering Westlake University Hangzhou China.
Imeta. 2024 Nov 6;3(6):e246. doi: 10.1002/imt2.246. eCollection 2024 Dec.
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.
MetOrigin于2021年首次推出,迅速成为一个强大的网络服务器,用于区分微生物代谢物并识别负责特定代谢过程的细菌。基于对微生物组和代谢组之间相互作用的日益深入理解,并响应用户反馈,MetOrigin已进行了重大升级,升级到2.0版本。这个增强版本包含三个新模块:(1)快速搜索模块,便于快速识别与特定代谢物相关的细菌;(2)直系同源分析模块,将代谢酶基因与其相应细菌联系起来;(3)中介分析模块,研究细菌、代谢物和表型之间的潜在因果关系,突出代谢物的中介作用。此外,MetOrigin后端数据库已用来自七个公共数据库(KEGG、HMDB、BIGG、ChEBI、FoodDB、Drugbank和T3DB)的最新数据进行了更新,代谢物覆盖范围扩大到210,732种,每种代谢物都与其来源生物相关联。可通过http://metorigin.met-bioinformatics.cn免费访问MetOrigin 2.0。