Predictability of the community-function landscape in wine yeast ecosystems

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: al...

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Detalhes bibliográficos
Autores: Ruiz Ruiz, Javier, De Celis Rodríguez, Miguel, Diaz-Colunga, Juan, Vila, Jean, Benitez-Dominguez, Belén, Vicente, Javier, Santos de la Sen, Antonio, Sánchez, Alvaro, Belda Aguilar, Ignacio
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/95673
Acesso em linha:https://hdl.handle.net/20.500.14352/95673
Access Level:acceso abierto
Palavra-chave:579
577.2
Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signal
Wine yeasts
Microbiología (Biología)
Ecología (Biología)
3309.90 Microbiología de Alimentos
2415 Biología Molecular
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oai_identifier_str oai:docta.ucm.es:20.500.14352/95673
network_acronym_str ES
network_name_str España
repository_id_str
spelling Predictability of the community-function landscape in wine yeast ecosystemsPredecir la previsibilidad del la función de comunidades en los ecosistemas de levaduras del vinoRuiz Ruiz, JavierDe Celis Rodríguez, MiguelDiaz-Colunga, JuanVila, JeanBenitez-Dominguez, BelénVicente, JavierSantos de la Sen, AntonioSánchez, AlvaroBelda Aguilar, Ignacio579577.2Community-function landscapeFunctional effect equationsMicrobial interactionsPhylogenetic signalWine yeastsMicrobiología (Biología)Ecología (Biología)3309.90 Microbiología de Alimentos2415 Biología MolecularPredictively 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.EMBOpressUniversidad Complutense de Madrid20232023-01-0120232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/95673reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/956732026-06-02T12:44:21Z
dc.title.none.fl_str_mv Predictability of the community-function landscape in wine yeast ecosystems
Predecir la previsibilidad del la función de comunidades en los ecosistemas de levaduras del vino
title Predictability of the community-function landscape in wine yeast ecosystems
spellingShingle Predictability of the community-function landscape in wine yeast ecosystems
Ruiz Ruiz, Javier
579
577.2
Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signal
Wine yeasts
Microbiología (Biología)
Ecología (Biología)
3309.90 Microbiología de Alimentos
2415 Biología Molecular
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 Ruiz, Javier
De Celis Rodríguez, Miguel
Diaz-Colunga, Juan
Vila, Jean
Benitez-Dominguez, Belén
Vicente, Javier
Santos de la Sen, Antonio
Sánchez, Alvaro
Belda Aguilar, Ignacio
author Ruiz Ruiz, Javier
author_facet Ruiz Ruiz, Javier
De Celis Rodríguez, Miguel
Diaz-Colunga, Juan
Vila, Jean
Benitez-Dominguez, Belén
Vicente, Javier
Santos de la Sen, Antonio
Sánchez, Alvaro
Belda Aguilar, Ignacio
author_role author
author2 De Celis Rodríguez, Miguel
Diaz-Colunga, Juan
Vila, Jean
Benitez-Dominguez, Belén
Vicente, Javier
Santos de la Sen, Antonio
Sánchez, Alvaro
Belda Aguilar, Ignacio
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 579
577.2
Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signal
Wine yeasts
Microbiología (Biología)
Ecología (Biología)
3309.90 Microbiología de Alimentos
2415 Biología Molecular
topic 579
577.2
Community-function landscape
Functional effect equations
Microbial interactions
Phylogenetic signal
Wine yeasts
Microbiología (Biología)
Ecología (Biología)
3309.90 Microbiología de Alimentos
2415 Biología Molecular
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/95673
url https://hdl.handle.net/20.500.14352/95673
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EMBOpress
publisher.none.fl_str_mv EMBOpress
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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