Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2023.04.04.535534v1?rss=1
Authors: Gautam, A., Bhowmik, D., Basu, S., Lahiri, A., Zeng, W., Paul, S.
Abstract:
Microbial community maintains its ecological dynamics via metabolites crosstalk. Hence knowledge of the metabolome, alongside its populace, would help us understand the functionality of that community and also predict how it alters in atypical conditions. The metabolic potential of a community from low-cost metagenomic sequencing data signifies the ability to produce or utilize each metabolite and can serve as potential markers of the differentially controlled biochemical pathways among different communities. We developed MMIP (Microbiome Metabolome Integration Platform), a web-based analytical and predictive tool that can describe the taxonomy, diversity variation and the metabolic potential between two sets of microbial communities from targeted amplicon sequencing data. MMIP is capable of highlighting statistically significant taxonomic, enzymatic and metabolic attributes as well as learning based features associated with one group in comparison with another. Further MMIP is capable of predicting the linkages indicating the relationship among species or groups of microbes in the community, a specific enzyme profile related to those organisms, and a specific compound or metabolite. Thus, MMIP can serve as a user-friendly, online web-server for performing most of the analyses of microbiome associated research from targeted amplicon sequencing data, and can provide the probable metabolite signature, along with learning-based linkage associations of any sample set, without the need for initial metabolomic analysis thereby helping in hypothesis generation.
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