Predictability of the community‐function landscape in wine yeast ecosystems
Abstract: 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.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Predictability of the community‐function landscape in wine yeast ecosystems ; day:07 ; month:08 ; year:2023 ; extent:14
Molecular systems biology ; (07.08.2023) (gesamt 14)
- Urheber
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Ruiz, Javier
de Celis, Miguel
Diaz‐Colunga, Juan
Vila, Jean CC
Benitez‐Dominguez, Belen
Vicente, Javier
Santos, Antonio
Sanchez, Alvaro
Belda, Ignacio
- DOI
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10.15252/msb.202311613
- URN
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urn:nbn:de:101:1-2023080715154598151768
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:02 MESZ
Datenpartner
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Beteiligte
- Ruiz, Javier
- de Celis, Miguel
- Diaz‐Colunga, Juan
- Vila, Jean CC
- Benitez‐Dominguez, Belen
- Vicente, Javier
- Santos, Antonio
- Sanchez, Alvaro
- Belda, Ignacio