Afficher la notice abrégée

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

hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorBELCOUR, Arnaud
hal.structure.identifierQuadram Institute
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
hal.structure.identifierPleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorFRIOUX, Clémence
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorAITE, Méziane
hal.structure.identifierPlateforme bioinformatique GenOuest [Rennes]
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorBRETAUDEAU, Anthony
hal.structure.identifierQuadram Institute
hal.structure.identifierEarlham Institute [Norwich]
dc.contributor.authorHILDEBRAND, Falk
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorSIEGEL, Anne
dc.date.issued2020-12-29
dc.description.abstractEnTo 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.
dc.description.sponsorshipBiotechnologies pour la valorisation des macroalgues - ANR-10-BTBR-0004
dc.language.isoen
dc.publishereLife Sciences Publication
dc.subject.encomputational biology
dc.subject.enhuman
dc.subject.enkeystone species
dc.subject.enmetabolic complementarity
dc.subject.enmetabolic modelling
dc.subject.enmetagenomics
dc.subject.enmicrobiota
dc.subject.ensystems biology
dc.title.enMetage2Metabo, microbiota-scale metabolic complementarity for the identification of key species
dc.typeArticle de revue
dc.identifier.doi10.7554/eLife.61968
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.subject.halSciences du Vivant [q-bio]/Biochimie, Biologie Moléculaire/Génomique, Transcriptomique et Protéomique [q-bio.GN]
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
bordeaux.journaleLife
bordeaux.volume9
bordeaux.peerReviewedoui
hal.identifierhal-02395024
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02395024v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=eLife&rft.date=2020-12-29&rft.volume=9&rft.au=BELCOUR,%20Arnaud&FRIOUX,%20Cl%C3%A9mence&AITE,%20M%C3%A9ziane&BRETAUDEAU,%20Anthony&HILDEBRAND,%20Falk&rft.genre=article


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée