Predictability of the community-function landscape in wine yeast ecosystems

14 p.-4 fig.

Detalles Bibliográficos
Autores: Ruiz, Javier, Celis, Miguel de, Díaz-Colunga, Juan, Vila, Jean, Benítez-Domínguez, Belén, Vicente, Javier, Santos, Antonio, Sánchez de Andrés, Álvaro, Belda, Ignacio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::c8beae058409a069cceae3f50b75d270
Acceso en línea:http://hdl.handle.net/10261/333309
Access Level:acceso abierto
Palabra clave:Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signaL
Wine yeasts
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spelling Predictability of the community-function landscape in wine yeast ecosystemsRuiz, JavierCelis, Miguel deDíaz-Colunga, JuanVila, JeanBenítez-Domínguez, BelénVicente, JavierSantos, AntonioSánchez de Andrés, ÁlvaroBelda, IgnacioCommunity-function landscapeFunctional effect equationsMicrobial interactionsPhylogenetic signaLWine yeasts14 p.-4 fig.Predictively linking taxonomic composition and quantitative ecosystem functions is a major aspiration in microbial ecology, which must be resolved if we wish to engineer microbial consortia. Here, we have addressed this open question for an ecological function of major biotechnological relevance: alcoholic fermentation in wine yeast communities. By exhaustively phenotyping an extensive collection of naturally occurring wine yeast strains, we find that most ecologically and industrially relevant traits exhibit phylogenetic signal, allowing functional traits in wine yeast communities to be predicted from taxonomy. Furthermore, we demonstrate that the quantitative contributions of individual wine yeast strains to the function of complex communities followed simple quantitative rules. These regularities can be integrated to quantitatively predict the function of newly assembled consortia. Besides addressing theoretical questions in functional ecology, our results and methodologies can provide a blueprint for rationally managing microbial processes of biotechnological relevance.This work has been supported by grant PID2019-105834GA-I00 (acronym Wineteractions) funded by the Spanish State Research Agency/Science and Research Ministry (10.13039/501100011033). Javier Ruiz acknowledges the Spanish State Research Agency/Science and Research Ministry for hispostdoctoral contract Juan de la Cierva-formación 2021 (FJC2021-046516-I).Alvaro Sanchez was Funded/Co-Funded by the European Union (ERC,ECOPROSPECTOR-101088469).Peer reviewedEMBO PressAgencia Estatal de Investigación (España)Ruiz, Javier [0000-0002-7657-3329]Celis, Miguel de [0000-0002-3653-3031]Díaz-Colunga, Juan [0000-0001-8995-4529]Vila, Jean [0000-0003-0499-0200]Benítez-Domínguez, Belén [0009-0005-2209-9739]Sánchez, Álvaro [0000-0002-2292-5608]Belda, Ignacio [0000-0002-2607-5049]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/333309reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105834GA-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at https://doi.org/10.15252/msb.202311613https://doi.org/10.15252/msb.202311613Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::c8beae058409a069cceae3f50b75d2702026-05-22T06:33:51Z
dc.title.none.fl_str_mv Predictability of the community-function landscape in wine yeast ecosystems
title Predictability of the community-function landscape in wine yeast ecosystems
spellingShingle Predictability of the community-function landscape in wine yeast ecosystems
Ruiz, Javier
Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signaL
Wine yeasts
title_short Predictability of the community-function landscape in wine yeast ecosystems
title_full Predictability of the community-function landscape in wine yeast ecosystems
title_fullStr Predictability of the community-function landscape in wine yeast ecosystems
title_full_unstemmed Predictability of the community-function landscape in wine yeast ecosystems
title_sort Predictability of the community-function landscape in wine yeast ecosystems
dc.creator.none.fl_str_mv Ruiz, Javier
Celis, Miguel de
Díaz-Colunga, Juan
Vila, Jean
Benítez-Domínguez, Belén
Vicente, Javier
Santos, Antonio
Sánchez de Andrés, Álvaro
Belda, Ignacio
author Ruiz, Javier
author_facet Ruiz, Javier
Celis, Miguel de
Díaz-Colunga, Juan
Vila, Jean
Benítez-Domínguez, Belén
Vicente, Javier
Santos, Antonio
Sánchez de Andrés, Álvaro
Belda, Ignacio
author_role author
author2 Celis, Miguel de
Díaz-Colunga, Juan
Vila, Jean
Benítez-Domínguez, Belén
Vicente, Javier
Santos, Antonio
Sánchez de Andrés, Álvaro
Belda, Ignacio
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Ruiz, Javier [0000-0002-7657-3329]
Celis, Miguel de [0000-0002-3653-3031]
Díaz-Colunga, Juan [0000-0001-8995-4529]
Vila, Jean [0000-0003-0499-0200]
Benítez-Domínguez, Belén [0009-0005-2209-9739]
Sánchez, Álvaro [0000-0002-2292-5608]
Belda, Ignacio [0000-0002-2607-5049]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signaL
Wine yeasts
topic Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signaL
Wine yeasts
description 14 p.-4 fig.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/333309
url http://hdl.handle.net/10261/333309
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105834GA-I00
The underlying dataset has been published as supplementary material of the article in the publisher platform at https://doi.org/10.15252/msb.202311613
https://doi.org/10.15252/msb.202311613
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EMBO Press
publisher.none.fl_str_mv EMBO Press
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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