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Journal Articles eLife Year : 2020

Metage2Metabo, microbiota-scale metabolic complementarity for the identification of key species

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Abstract

To capture the functional diversity of microbiota, one must identify metabolic functions and species of interest within hundreds or thousands of microorganisms. We present Metage2Metabo (M2M) a resource that meets the need for de-novo functional screening of genome-scale metabolic networks (GSMNs) at the scale of a metagenome, and the identification of critical species with respect to metabolic cooperation. M2M comprises a flexible pipeline for the characterisation of individual metabolisms and collective metabolic complementarity. In addition, M2M identifies key species, that are meaningful members of the community for functions of interest. We demonstrate that M2M is applicable to collections of genomes as well as metagenome-assembled genomes, permits an efficient GSMN reconstruction with Pathway Tools, and assesses the cooperation potential between species. M2M identifies key organisms by reducing the complexity of a large-scale microbiota into minimal communities with equivalent properties, suitable for further analyses.
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Origin : Publication funded by an institution

Dates and versions

hal-02395024 , version 1 (05-12-2019)
hal-02395024 , version 2 (07-01-2021)

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Arnaud Belcour, Clémence Frioux, Méziane Aite, Anthony Bretaudeau, Falk Hildebrand, et al.. Metage2Metabo, microbiota-scale metabolic complementarity for the identification of key species. eLife, 2020, 9, ⟨10.7554/eLife.61968⟩. ⟨hal-02395024v2⟩
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