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Modeling the emergent metabolic potential of soil microbiomes in Atacama landscapes

hal.structure.identifierCenter for Mathematical Modeling [CMM]
hal.structure.identifierCenter for Genome Regulation [Santiago] [CGR]
hal.structure.identifierLaboratoire d'océanographie de Villefranche [LOV]
dc.contributor.authorANDREANI-GERARD, Constanza
hal.structure.identifierCenter for Mathematical Modeling [CMM]
hal.structure.identifierDepartment of Chemical and Bioprocess Engineering [PUC]
hal.structure.identifierCentre de modélisation mathématique / Centro de Modelamiento Matemático [Santiago] [CMM]
hal.structure.identifierInstitute for biological and medical engineering [Santiago]
dc.contributor.authorJIMÉNEZ, Natalia
hal.structure.identifierCenter for Mathematical Modeling [CMM]
hal.structure.identifierCenter for Genome Regulation [Santiago] [CGR]
dc.contributor.authorPALMA, Ricardo
hal.structure.identifierPleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorMULLER, Coralie
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorHAMON-GIRAUD, Pauline
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorLE CUNFF, Yann
hal.structure.identifierCenter for Genome Regulation [Santiago] [CGR]
hal.structure.identifierInstituto de Nutricion y Tecnologia de los Alimentos [Santiago] [INTA]
dc.contributor.authorCAMBIAZO, Verónica
hal.structure.identifierCenter for Genome Regulation [Santiago] [CGR]
hal.structure.identifierInstituto de Nutricion y Tecnologia de los Alimentos [Santiago] [INTA]
dc.contributor.authorGONZÁLEZ, Mauricio
hal.structure.identifierDynamics, Logics and Inference for biological Systems and Sequences [Dyliss]
dc.contributor.authorSIEGEL, Anne
hal.structure.identifierPleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorFRIOUX, Clémence
hal.structure.identifierCenter for Mathematical Modeling [CMM]
hal.structure.identifierCenter for Genome Regulation [Santiago] [CGR]
hal.structure.identifierDepartment of Mathematical Engineering [Santiago]
dc.contributor.authorMAASS, Alejandro
dc.date.created2024
dc.description.abstractEnSoil microbiomes harbor complex communities and exhibit important ecological roles resulting from biochemical transformations and microbial interactions. Difficulties in characterizing the mechanisms and consequences of such interactions together with the multidimensionality of niches hinder our understanding of these ecosystems. The Atacama Desert is an extreme environment that includes unique combinations of stressful abiotic factors affecting microbial life. In particular, the Talabre Lejía transect has been proposed as a unique natural laboratory for understanding adaptation mechanisms.We propose a systems biology-based computational framework for the reconstruction and simulation of community-wide and genome-resolved metabolic models, in order to provide an overview of the metabolic potential as a proxy of how microbial communities are prepared to respond to the environment. Through a multifaceted approach that includes taxonomic and functional profiling of microbiomes, simulation of the metabolic potential, and multivariate analyses, we were able to identify key species and functions from six contrasting soil samples across the Talabre Lejía transect. We highlight the functional redundancy of whole metagenomes, which act as a gene reservoir from which site-specific functions emerge at the species level. We also link the physicochemistry from the puna and the lagoon samples to specific metabolic machineries that could be associated with their adaptation to the unique environmental conditions found there. We further provide an abstraction of community composition and structure for each site that allows to describe them as sensitive or resilient to environmental shifts through putative cooperation events.Our results show that the study of community-wide and genome-resolved metabolic potential, together with targeted modeling, may help to elucidate the role of producible metabolites in the adaptation of microbial communities. Our framework was designed to handle non-model microorganisms, making it suitable for any (meta)genomic dataset that includes nucleotide sequence data and high-quality environmental metadata for different samples.
dc.description.sponsorshipComputationel models of crop plant microbial biodiversity
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enmicrobial communities
dc.subject.enmetagenomics
dc.subject.enmetabolic potential
dc.subject.enmetabolic network
dc.subject.enmetabolic model
dc.subject.encommunity-wide
dc.subject.engenome-resolved
dc.subject.enAtacama Desert
dc.title.enModeling the emergent metabolic potential of soil microbiomes in Atacama landscapes
dc.typeDocument de travail - Pré-publication
dc.identifier.doi10.1101/2024.12.23.630026
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
hal.identifierhal-04854948
hal.version1
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04854948v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ANDREANI-GERARD,%20Constanza&JIM%C3%89NEZ,%20Natalia&PALMA,%20Ricardo&MULLER,%20Coralie&HAMON-GIRAUD,%20Pauline&rft.genre=preprint


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