RT Journal Article
T1 Predictability of the community-function landscape in wine yeast ecosystems
T2 Predecir la previsibilidad del la función de comunidades en los ecosistemas de levaduras del vino
A1 Ruiz Ruiz, Javier
A1 De Celis Rodríguez, Miguel
A1 Diaz-Colunga, Juan
A1 Vila, Jean
A1 Benitez-Dominguez, Belén
A1 Vicente, Javier
A1 Santos de la Sen, Antonio
A1 Sánchez, Alvaro
A1 Belda Aguilar, Ignacio
AB 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.
PB EMBOpress
SN 1744-4292
YR 2023
FD 2023
LK https://hdl.handle.net/20.500.14352/95673
UL https://hdl.handle.net/20.500.14352/95673
LA eng
NO Ruiz, 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.
NO This 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)
NO European Commission
NO Ministerio de Ciencia, Innovación y Universidades (España)
DS Docta Complutense
RD 8 abr 2025