Macrowine 2021
IVES 9 IVES Conference Series 9 Assessment of wine non-Saccharomyces yeast strains as promising producers of glutathione

Assessment of wine non-Saccharomyces yeast strains as promising producers of glutathione

Abstract

AIM: Glutathione (GSH) is a non-protein thiol naturally present in grape berries and produced by yeasts during fermentation. It has a strong antioxidant activity, thus can be added during winemaking to limit the oxidative phenomena of wine, preserving sensory characteristics and stability, ultimately promoting a healthier product by reducing the need for SO2 addition. A promising alternative approach could be the use of yeast starter cultures high-producers of this compound in situ, during the fermentation process, in substitution of external GSH addition. Since this activity in non-Saccharomyces yeasts is currently poorly investigated, the aim of this research was to evaluate the ability of three strains of non-Saccharomyces (NS) yeasts to produce GSH, both in synthetic media and in fresh grape must.

METHODS: Lachancea thermotolerans SOL13, Metschnikowia sp. FIANO12, and Starmerella bacillaris MALV45 were tested in single or sequential inoculations,with Saccharomyces cerevisiae EC1118, in synthetic grape juice (SGJ) or in Pinot Grigio grape must, under static conditions, or in a medium optimized for GSH production (MGSH) in agitation (200 rpm). GSH concentration was determined using the Glutathione Assay Kit (Sigma-Aldrich). Population dynamics was evaluated by plate count and biomass dry weight, and fermentation kinetics through weight loss measurement.

RESULTS: A variability in GSH production was found among individual strains and growth conditions. Metschnikowia sp. FIANO12 showed the highest intracellular accumulation of GSH when cultivated alone in both synthetic media, and, as expected, higher levels in the optimized MGSH than in SGJ (4.59 vs. 0.19 nmol GSH/mg cells, respectively). In wine, fermentations with S. bacillaris MALV45 had the highest concentration of intracellular GSH, but the lowest content of wine-dissolved GSH. The maximum level of extracellular GSH (21 mg/L) was obtained in the sequential fermentation with L. thermotolerans SOL13, a significant increase compared to the control singly inoculated with S. cerevisiae.

CONCLUSIONS:

This study highlights a new potential interesting feature of NS yeasts to positively modify wine composition. The tested native strains, with previously demonstrated interesting oenological traits, showed a good capacity to accumulate GSH and to increase the concentration of this antioxidant compound in wine. Thus, the strategy of multi-starter fermentation can be a valuable tool to achieve a lower input winemaking. Future investigations are needed to assess the long-term stability of wine made from multi-starter fermentations with NS yeasts producers of GSH.ACKNOWLEDGEMENTS: We thank Nicolò Bersani for laboratory assistance.

DOI:

Publication date: September 3, 2021

Issue: Macrowine 2021

Type: Article

Authors

Renato L. Binati, Wilson J.F. LEMOS JUNIOR, Sandra TORRIANI

Department of Biotechnology, University of Verona, Italy, Department of Biotechnology, University of Verona, Italy, Department of Biotechnology, University of Verona, Italy

Contact the author

Keywords

Glutathione production, multi-starter fermentation, non-saccharomyces yeasts, saccharomycescerevisiae, winemaking, wine quality

Citation

Related articles…

Optimized protocol for high-quality RNA extraction from grape tissues using sorbitol pre-wash

Obtaining high-quality RNA from grape tissues, including berry pulp, berry skins, stems, rachis, or roots, is challenging due to their composition, which includes polysaccharides, phenolic compounds, sugars, and organic acids that can negatively affect RNA extraction. For instance, polyphenols and other secondary metabolites can bind to RNA, making it difficult to extract a pure sample. Additionally, RNA can co-precipitate with polysaccharides, leading to lower extraction yield. Also, sugars and organic acids can interfere with the pH and ionic properties of the extraction buffer. To address these challenges, we optimized a protocol for RNA isolation from grape tissues.

Remote sensing and ground techniques, applied to the characterization of a new viticultural region at Pinto Bandeira, Brazil

The region of viticultural production near Pinto Bandeira, Brazil, is being studied to define typical characteristics of wines locally produced.

La zonazione viticola e i compiti dell’amministrazione regionale

Solo attraverso un adeguato intervento di estirpazione e reimpianto dei vigneti è possibile preservare, adeguare e valorizzare il patrimonio viticolo e le produzioni che da esso derivano.
Il reimpianto dei vigneti è pertanto da intendersi come una normale pratica agricola, alla pari della rimonta di stalla in campo zootecnico, ma può assumere toni problematici quando, come si verifica adesso in Toscana per una serie di circostanze legate alla profonda trasfor­mazione della viticoltura avvenuta negli ultimi 30 anni, troppi impianti giungono contem­poraneamente a fine ciclo produttivo e devono essere rinnovati.

The smoking gun of climate change in wines

In this audio recording of the IVES science meeting 2022, Antonio Graca (Sogrape, Portugal) speaks about smoke taint and climate change. This presentation is based on an original article accessible for free on IVES Technical Reviews.

A novel approach for the identification of new biomarkers of wine consumption in human urine using untargeted metabolomics

Wine is one of the most representative components of Mediterranean diet. Moderate wine intake together with food, has been positively correlated with reduced risk of many chronic diseases. This beneficial effect seems to be ascribed to elevated polyphenolic content of wine [1]. Traditional approaches for the identification of wine biomarkers consumption include targeted metabolomics that focuses on the quantification of well-defined metabolites, losing a valuable information about a massive number of compounds. On the other hand, untargeted metabolomics can disclose a large quantity of signals corresponding to potential biomarkers in a single analysis with high sensitivity and resolution.