Impact of rare yeasts in Saccharomyces cerevisiae wine fermentation performance: Population prevalence and growth phenotype of Cyberlindnera fabianii, Kazachstania unispora, and Naganishia globosa

Vicente, Javier; Ruíz, Jesús M.; Tomasi, Sandra; Celis, Miguel de; Ruiz-de-Villa, Candela; Gombau, Jordi; Rozès, Nicolás; Zamora, Fernando; Santos, Andrés de la Oliva; Marquina, Domingo; Belda, Ignacio

doi:10.1016/j.fm.2022.104189

Cited by 8 publications

(4 citation statements)

References 48 publications

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“…The results depicted in Appendix Fig S16 have prompted us to anticipate certain specific traits, such as ethanol production and nitrogen source consumption, that may elucidate the negative impact of some species shown under our experimental conditions, defined by the FEEs parameters intercept (Appendix Fig S16 A) and slope (Appendix Fig S16 B). In addition, some interaction phenomena against S. cerevisiae have been already described, such as the production of inhibitory pulcherriminic acid by Metschnikowia yeasts (Gore‐Lloyd et al , 2019 ) or the high nitrogen consumption capacity of K. unispora (Vicente et al , 2023 ). Yet, little is known about these effects under complex community contexts, where, as we demonstrated here, higher‐order interactions emerge.…”

Section: Discussionmentioning

confidence: 99%

Predictability of the community‐function landscape in wine yeast ecosystems

Ruiz,

de Celis,

Diaz‐Colunga

et al. 2023

Molecular Systems Biology

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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.

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Section: Discussionmentioning

confidence: 99%

Predictability of the community‐function landscape in wine yeast ecosystems

Ruiz,

de Celis,

Diaz‐Colunga

et al. 2023

Molecular Systems Biology

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“…The relative abundance of bacterial genera was used to classify them into two groups: major population (abundance > 1%) and rare population (abundance < 1%). 38,39 A heatmap analysis was performed using R 4.2.0 to visualize the distribution of genera across the samples. The Spearman correlations between the hydrochemical parameters and the relative abundance of genera were calculated using SPSS 20.0 and considered significant at p < 0.05.…”

Section: Discussionmentioning

confidence: 99%

Effects of simulated acid rain on hydrochemical factors and microbial community structure in red soil aquifers

Wang,

Long,

Yin

et al. 2024

RSC Adv.

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“…The pH was measured using a pH meter (Crison pH Meter Basic 20, Crison-Spain) and the concentrations of non-volatile compounds were measured using specialized enzymatic kits and the analyzer Y15 (Biosystems, Spain) following manufacturer’s instructions. Gas chromatography-mass spectrometry (GC-FID) was used to measure the concentration of volatile compounds as previously described [32]. Raw data detailed in Additional File 2 .…”

Section: Methodsmentioning

confidence: 99%

Multi-omics framework to reveal the molecular determinants of fermentation performance in wine yeast populations

de Celis,

Ruiz,

Benitez-Dominguez

et al. 2023

Preprint

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BackgroundConnecting the composition and function of industrial microbiomes is a major aspiration in microbial biotechnology. Here, we address this question in wine fermentation, a model system where the diversity and functioning of fermenting yeast species is determinant of the flavor and quality of the resulting wines.ResultsFirst, we surveyed yeast communities associated with grape musts collected across wine appellations, revealing the importance of environmental (i.e., biogeography) and anthropic factors (i.e., farming system) in shaping community composition and structure. Then, we assayed the fermenting yeast communities in synthetic grape must under common winemaking conditions. The dominating yeast species defines the fermentation performance and metabolite profile of the resulting wines, and it is determined by the initial fungal community composition rather than the imposed fermentation conditions. Yeast dominance also had a more pronounced impact on wine meta-transcriptome than fermentation conditions. We unveiled yeast-specific transcriptomic profiles, leveraging different molecular functioning strategies in wine fermentation environments. We further studied the orthologs responsible for metabolite production, revealing modules associated with the dominance of specific yeast species. This emphasizes the unique contributions of yeast species to wine flavor, here summarized in an array of orthologs that defines the individual contribution of yeast species to wine ecosystem functioning.ConclusionsOur study bridges the gap between yeast community composition and wine metabolite production, providing insights to harness diverse yeast functionalities with the final aim to producing tailored high-quality wines.

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Impact of rare yeasts in Saccharomyces cerevisiae wine fermentation performance: Population prevalence and growth phenotype of Cyberlindnera fabianii, Kazachstania unispora, and Naganishia globosa

Cited by 8 publications

References 48 publications

Predictability of the community‐function landscape in wine yeast ecosystems

Predictability of the community‐function landscape in wine yeast ecosystems

Effects of simulated acid rain on hydrochemical factors and microbial community structure in red soil aquifers

Multi-omics framework to reveal the molecular determinants of fermentation performance in wine yeast populations

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