Evidence map›Paper›PMID 42622360›Full record

ReviewFEMS yeast research2026

Genomic tales of wine yeasts: from domestication to functional innovation.

Carmen Becerra-Rodríguez, Hugo Devillers, Jean-Luc Legras, Virginie Galeote, Frédéric Bigey, Sylvie Dequin, Souhir Marsit

Abstract readReview
In one paragraph

Review in FEMS yeast research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Carmen Becerra-RodríguezInstitut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, INSERM, CNRS, University of Strasbourg, 67400 Illkirch, France.ORCID 0000-0003-4300-5592
Hugo DevillersSPO, Université de Montpellier, INRAE, Institut Agro, 34060 Montpellier, France.ORCID 0000-0002-8926-535X
Jean-Luc LegrasSPO, Université de Montpellier, INRAE, Institut Agro, 34060 Montpellier, France.ORCID 0000-0002-4006-4389
Virginie GaleoteSPO, Université de Montpellier, INRAE, Institut Agro, 34060 Montpellier, France.ORCID 0000-0001-8929-8672
Frédéric BigeySPO, Université de Montpellier, INRAE, Institut Agro, 34060 Montpellier, France.ORCID 0000-0002-6240-3038
Sylvie DequinSPO, Université de Montpellier, INRAE, Institut Agro, 34060 Montpellier, France.ORCID 0000-0002-9114-2324
Souhir MarsitSPO, Université de Montpellier, INRAE, Institut Agro, 34060 Montpellier, France.ORCID 0000-0003-2846-5013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decades, the yeast Saccharomyces cerevisiae has emerged as a key model for studying microbial domestication, particularly in the context of winemaking. The recent surge of population genomic data, encompassing thousands of genomes, has profoundly reshaped our understanding of the evolutionary history and adaptive potential of wine yeasts. Despite arising from a domestication bottleneck, wine yeasts form a well-structured population and display striking genome dynamism. Extensive variation in heterozygosity, aneuploidy, structural variations, and gene content may provide a reservoir of genomic variation that contributes to adaptive potential in the harsh winemaking environment. While some genetic variation and genome restructuring contribute to adaptation, gene flow through hybridization, introgression and especially horizontal gene transfer has emerged as a major driver of functional innovation. These findings establish wine yeasts as a powerful model to link genome evolution with adaptation to anthropogenic environments. They also provide a foundation for the rational improvement of industrial strains through approaches such as quantitative trait locus mapping, adaptive laboratory evolution and genome-wide association studies. Extending these frameworks to non-Saccharomyces species and integrating genomic, functional and ecological data will be key to understanding and engineering microbial communities, to face the modern winemaking challenges.

Indexed as

DomesticationGenome, FungalSaccharomyces cerevisiaeWineAdaptation, BiologicalEvolution, MolecularGenetic VariationGenomicsadaptationdomesticationpopulation genomicsSaccharomyces cerevisiaewine yeast

Identifiers

PMID42622360
PMCPMC13525634

What OpenQuestion holds

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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 OpenQuestion graph.