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Metagenome-scale metabolic modelling for the characterization of cross-feeding interactions in Microcystis-associated microbial communities, in the context of freshwater cyanobacterial blooms

hal.structure.identifierUnité de Nutrition Humaine [UNH]
hal.structure.identifierPleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorAUDEMARD, Juliette
hal.structure.identifierMolécules de Communication et Adaptation des Micro-organismes [MCAM]
hal.structure.identifierMuséum national d'Histoire naturelle [MNHN]
dc.contributor.authorHALARY, Sébastien
hal.structure.identifierStation biologique de Roscoff = Roscoff Marine Station [SBR]
hal.structure.identifierLaboratoire de Biologie Intégrative des Modèles Marins [LBI2M]
dc.contributor.authorMARKOV, Gabriel
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorGOT, Jeanne
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorSIEGEL, Anne
hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
hal.structure.identifierUnité de Nutrition Humaine [UNH]
dc.contributor.authorLEFEBVRE, Marie
hal.structure.identifierInstitut d'écologie et des sciences de l'environnement de Paris [iEES Paris]
dc.contributor.authorLELOUP, Julie
hal.structure.identifierMuséum national d'Histoire naturelle [MNHN]
hal.structure.identifierMolécules de Communication et Adaptation des Micro-organismes [MCAM]
dc.contributor.authorMARIE, Benjamin
hal.structure.identifierPlateforme Bordeaux Metabolome
hal.structure.identifierEcosystèmes aquatiques et changements globaux [UR EABX]
dc.contributor.authorCREUSOT, Nicolas
hal.structure.identifierUnité de Nutrition Humaine [UNH]
hal.structure.identifierMetaboHUB-Clermont
hal.structure.identifierPlateforme Exploration du Métabolisme [PFEM]
dc.contributor.authorDIEME, Binta
hal.structure.identifierPleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorFRIOUX, Cleḿence
dc.date.created2024-06
dc.date.issued2024
dc.date.conference2024-06-25
dc.description.abstractEnIn the context of global warming and eutrophication of waters, harmful algal blooms are an international concern. Warm weather and nutrients abundance feed cyanobacterial species, whose growth goes alongside biodiversity degradation, health risk for animals and humans and high economical repercussions (e.g. water treatment, recreational areas closure, impacts on agri-food). Microcystis, a genus of freshwater cyanobacteria, is described as one of the most pervasive bloom forming species. A subset of Microcystis strains' ability to produce the microcystin hepatotoxin, microcystin-LR (MC-LR) being the most harmful and common, make their bloom a certain threat. The biochemical and ecological mechanisms behind those remain relatively unknown, motivating the use of in silico systems biology approaches to propose mechanistic hypotheses. Biochemical interactions between Microcystis and heterotrophic bacteria within the phycosphere may contribute to bloom formation particularly through optimal management of nutrient resources (e.g. recycling of organic matter, cross-feeding). We aim to analyse the mechanisms underlying the metabolic activity of cyanobacteria and their associated symbionts using metabolic models. Genome-scale metabolic networks (GSMNs) gather all biochemical reactions linked with the genes of a genome, and can be reconstructed automatically and feed metabolic models to predict the behaviour of organisms, or communities in their environment. Our work’s objective decomposes into three parts i) assessing the ability of GSMNs reconstruction to capture Microcystis strains production of toxins, ii) compare the metabolic functions carried by a set of Microcystis strains iii) analyse jointly the metabolism of the cyanobacteria and their communities across several lake samples in the context of bloom formation.
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enSystems biology
dc.subject.enMicrobial communities
dc.subject.enMetabolic modelling
dc.subject.enFreshwater cyanobacteria
dc.subject.enMicrocystin
dc.title.enMetagenome-scale metabolic modelling for the characterization of cross-feeding interactions in Microcystis-associated microbial communities, in the context of freshwater cyanobacterial blooms
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
bordeaux.page1-1
bordeaux.conference.titleJOBIM 2024 - Journées Ouvertes en Biologie, Informatique et Mathématiques
bordeaux.countryFR
bordeaux.conference.cityToulouse
bordeaux.peerReviewednon
hal.identifierhal-04654522
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2024-06-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04654522v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2024&rft.spage=1-1&rft.epage=1-1&rft.au=AUDEMARD,%20Juliette&HALARY,%20S%C3%A9bastien&MARKOV,%20Gabriel&GOT,%20Jeanne&SIEGEL,%20Anne&rft.genre=conference


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