Evidence map›Paper›PMID 37548146›Full record

ArticleMolecular systems biology2023

Predictability of the community-function landscape in wine yeast ecosystems.

Javier Ruiz, Miguel de Celis, Juan Diaz-Colunga, Jean Cc Vila, Belen Benitez-Dominguez, Javier Vicente, Antonio Santos, Alvaro Sanchez, Ignacio Belda

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 30 citations in OpenAlex.

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  3. Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Javier Ruiz *Department of Genetics, Physiology and Microbiology, Biology Faculty, Complutense University of Madrid, Madrid, Spain.
Miguel de Celis *Department of Genetics, Physiology and Microbiology, Biology Faculty, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0002-3653-3031
Juan Diaz-ColungaDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
Jean Cc VilaDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
Belen Benitez-DominguezDepartment of Genetics, Physiology and Microbiology, Biology Faculty, Complutense University of Madrid, Madrid, Spain.ORCID 0009-0005-2209-9739
Javier VicenteDepartment of Genetics, Physiology and Microbiology, Biology Faculty, Complutense University of Madrid, Madrid, Spain.
Antonio SantosDepartment of Genetics, Physiology and Microbiology, Biology Faculty, Complutense University of Madrid, Madrid, Spain.
Alvaro SanchezDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
Ignacio BeldaDepartment of Genetics, Physiology and Microbiology, Biology Faculty, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0002-2607-5049
Universidad Complutense de Madrid · ESYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Saccharomyces cerevisiaeWineEcosystemFermentationPhylogenyYeastscommunity-function landscapefunctional effect equationsmicrobial interactionsphylogenetic signalwine yeasts

Identifiers

PMID37548146
PMCPMC10495813
OpenAlexW4385620211

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.