Ruiz Ruiz, JavierDe Celis Rodríguez, MiguelDiaz-Colunga, JuanVila, JeanBenitez-Dominguez, BelénVicente, JavierSantos de la Sen, AntonioSánchez, AlvaroBelda Aguilar, Ignacio2024-01-262024-01-262023Ruiz, J., de Celis, M., Diaz-Colunga, J., Vila, J.C.C., Benitez-Dominguez, B., Vicente, J., Santos, A., Sanchez, A., Belda, I. (2023). Predictability of the community-function landscape in wine yeast ecosystems. Molecular Systems Biology. 19: e11613.1744-429210.15252/msb.202311613https://hdl.handle.net/20.500.14352/95673This work has been supported by grant PID2019‐105834GA‐I00 (acronym Wineteractions) funded by the Spanish State Research Agency/Science and Research Ministry (https://doi.org/10.13039/501100011033). Javier Ruiz acknowledges the Spanish State Research Agency/Science and Research Ministry for his postdoctoral contract Juan de la Cierva‐formación 2021 (FJC2021‐046516‐I). Alvaro Sanchez was Funded/Co‐Funded by the European Union (ERC, ECOPROSPECTOR‐101088469)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.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/journal articlehttps://doi.org/10.15252/msb.202311613https://github.com/Javier-R-Ruiz/Predicting-wine-yeast-ecosystem-functionopen access579577.2Community-function landscapeFunctional effect equationsMicrobial interactionsPhylogenetic signalWine yeastsMicrobiología (Biología)Ecología (Biología)3309.90 Microbiología de Alimentos2415 Biología Molecular