Macrowine 2021
IVES 9 IVES Conference Series 9 Yeast interactions in chardonnay wine fermentation: impact of different yeast species using ultra high resolution mass spectrometry

Yeast interactions in chardonnay wine fermentation: impact of different yeast species using ultra high resolution mass spectrometry

Abstract

AIM: During alcoholic fermentation, when yeasts grow simultaneously, they often do not coexist passively and in most cases interact with each others [1]. They interact by roducing unpredictable compounds an fermentation products that can affect the chemical composition of the wine and therfore alter its aromatic and sensory profile [1, 2].

METHODS: Chardonnay must inoculated with non-Saccharomyces yeasts including Lachancea thermotolerans, Starmerella bacillaris, Metschnikowia pulcherrima and later with Saccharomyces cerevisiae for sequential fermentation screened for metabolite composition using ultra high resolution mass spectrometry [3].

RESULTS: We show that tremendous differencces exist between yeasts in terms of metabolites production and we could clearly differentiate wines according to the yeast strain used [3]. It appears that single cultures could be easily discriminated from sequential cultures based on their metabolite profile. Biomarkers, which reflect important differences between wines from single or mixed culture fermentation, were extracted and annotated to characterized yeast species impact on wine final composition. New metabolites appeared in wines from sequential fermentation and some others metabolites are not detected anymore compared to single cultures. Our data are consistent with the existence of positive or negative interactions between yeast species.

CONCLUSIONS

The wine composition from sequential culture is not only the addition of metabolites from each species but is the result of complex interactions suggesting that interactions between yeasts are not neutral. The level of metabolites represents integrative information to better understand the microbial interactome in order to control the fermentation by multi-starters.

DOI:

Publication date: September 13, 2021

Issue: Macrowine 2021

Type: Article

Authors

Chloé Roullier-Gall

Université de Bourgogne, IUVV, Jules Guyot, Dijon, France,- V. David; Université de Bourgogne, IUVV, Jules Guyot, Dijon, France – F. Bordet; Université de Bourgogne, IUVV, Jules Guyot, Dijon, France – P. Schmitt-Kopplin ; Technische Universität München, Freising, Germany & Helmholtz Zentrum München, Neuherberg, Germany – H. Alexandre; Université de Bourgogne, IUVV, Jules Guyot, Dijon, France

Contact the author

Keywords

metabolomics, yeast, interaction, ft-icr-ms, chardonnay

Citation

Related articles…

The ability of wine yeasts fermenting by the addition of exogenous biotin

Research is focused on the increase of the field of obtaining the wine yeast, under physical and chemical conditions. Study of different influences on yeast production is very important for the promotion

Comportamiento de la variedade “Touriga Nacional” en la Región Demarcada del Douro, en diferentes condiciones climáticas y edáficas

A Região Demarcada do Douro, oferece uma diversidade geográfica, climática e biológica (grande número de castas em cultivo) extremamente grande e complexa, originando vinhas

Consistency of the hydraulic traits and stomatal responses in grapevines with contrasting hydraulic vulnerability

Different from wild species in arid and semiarid conditions, cultivated species are very sensitive to drought and, beyond some stress thresholds, food production is not possible

The effect of ultrasounds in syrah wine quality is not dependent on the ripening or sanitary status of the grapes

Different studies have demonstrated that the application of ultrasounds (US) to crushed grapes improves chromatic characteristics of the wines (1,2), increases their polysaccharide content (3) and some aroma compounds are also favored (4,5)

Accurate Quantification of Quality Compounds and Varietal Classification from Grape Extracts using the Absorbance-Transmittance Fluorescence Excitation Emission Matrix (A-TEEM) Method and Machine Learning

Rapid and accurate quantification of grape berry phenolics, anthocyanins and tannins, and identification of grape varieties are both important for effective quality control of harvesting and initial processing for wine making. Current reference technologies including High Performance Liquid Chromatography (HPLC) can be rate limiting and too complex and expensive for effective field operations