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Metabolic Complementarity Between a Brown Alga and Associated Cultivable Bacteria Provide Indications of Beneficial Interactions

hal.structure.identifierLaboratoire de Biologie Intégrative des Modèles Marins [LBI2M]
dc.contributor.authorBURGUNTER-DELAMARE, Bertille
hal.structure.identifierLaboratoire de Biologie Intégrative des Modèles Marins [LBI2M]
dc.contributor.authorKLEINJAN, Hetty
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.authorFREMY, Enora
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorWAGNER, Margot
hal.structure.identifierStation biologique de Roscoff = Roscoff Marine Station [SBR]
dc.contributor.authorCORRE, Erwan
hal.structure.identifierABiMS - Informatique et bioinformatique = Analysis and Bioinformatics for Marine Science [ABIMS]
dc.contributor.authorLE SALVER, Alicia
hal.structure.identifierStation biologique de Roscoff = Roscoff Marine Station [SBR]
dc.contributor.authorLEROUX, Cédric
hal.structure.identifierStation biologique de Roscoff = Roscoff Marine Station [SBR]
dc.contributor.authorLEBLANC, Catherine
hal.structure.identifierLaboratoire de Biologie Intégrative des Modèles Marins [LBI2M]
dc.contributor.authorBOYEN, Catherine
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorSIEGEL, Anne
hal.structure.identifierLaboratoire de Biologie Intégrative des Modèles Marins [LBI2M]
dc.contributor.authorDITTAMI, Simon
dc.date.accessioned2022-10-12T12:24:00Z
dc.date.available2022-10-12T12:24:00Z
dc.date.issued2020-02-21
dc.identifier.issn2296-7745
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/156068
dc.description.abstractEnBrown algae are key components of marine ecosystems and live in association with bacteria that are essential for their growth and development. Ectocarpus siliculosus is a genetic and genomic model for brown algae. Here we use this model to start disentangling the complex interactions that may occur between the algal host and its associated bacteria. We report the genome-sequencing of 10 alga-associated bacteria and the genome-based reconstruction of their metabolic networks. The predicted metabolic capacities were then used to identify metabolic complementarities between the algal host and the bacteria, highlighting a range of potentially beneficial metabolite exchanges between them. These putative exchanges allowed us to predict consortia consisting of a subset of these ten bacteria that would best complement the algal metabolism. Finally, co-culture experiments were set up with a subset of these consortia to monitor algal growth as well as the presence of key algal metabolites. Although we did not fully control but only modified bacterial communities in our experiments, our data demonstrated a significant increase in algal growth in cultures inoculated with the selected consortia. In several cases, we also detected, in algal extracts, the presence of key metabolites predicted to become producible via an exchange of metabolites between the alga and the microbiome. Thus, although further methodological developments will be necessary to better control and understand microbial interactions in Ectocarpus, our data suggest that metabolic complementarity is a good indicator of beneficial metabolite exchanges in the holobiont.
dc.language.isoen
dc.publisherFrontiers Media
dc.subject.enEctocarpus siliculosus
dc.subject.ensymbiotic/mutualistic bacteria
dc.subject.engenome-scale metabolic networks
dc.subject.enmetabolic complementarity
dc.subject.enholobiont
dc.title.enMetabolic Complementarity Between a Brown Alga and Associated Cultivable Bacteria Provide Indications of Beneficial Interactions
dc.typeArticle de revue
dc.identifier.doi10.3389/fmars.2020.00085
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalFrontiers in Marine Science
bordeaux.page1-11
bordeaux.volume7
bordeaux.hal.laboratoriesBioGeCo (Biodiversité Gènes & Communautés) - UMR 1202*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02866101
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02866101v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers%20in%20Marine%20Science&rft.date=2020-02-21&rft.volume=7&rft.spage=1-11&rft.epage=1-11&rft.eissn=2296-7745&rft.issn=2296-7745&rft.au=BURGUNTER-DELAMARE,%20Bertille&KLEINJAN,%20Hetty&FRIOUX,%20Cl%C3%A9mence&FREMY,%20Enora&WAGNER,%20Margot&rft.genre=article


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