Macrowine 2021
IVES 9 IVES Conference Series 9 New molecular evidence of wine yeast-bacteria interaction unraveled by untargeted metabolomic profiling

New molecular evidence of wine yeast-bacteria interaction unraveled by untargeted metabolomic profiling

Abstract

Bacterial malolactic fermentation (MLF) has a considerable impact on wine quality. The yeast strain used for primary fermentation can consistently stimulate (MLF+ phenotype) or inhibit (MLF- phenotype) malolactic bacteria and the MLF process as a function of numerous winemaking practices, but the molecular evidence behind still remains a mystery. In this study, such evidence was elucidated by the direct comparison of extracellular metabolic profiles of MLF+ and MLF- yeast phenotypes. Untargeted metabolomics combining ultrahigh-resolution FT-ICR-MS analysis, powerful machine learning methods and a comprehensive wine metabolite database, discovered around 800 putative biomarkers and 2500 unknown masses involved in phenotypic distinction. For the putative biomarkers, we also developed a biomarker identification workflow and elucidated the exact structure (by UPLC-Q-ToF-MS2) and/or exact physiological impact (by in vivo tests) of several novel biomarkers, such as gluconic acid, citric acid, caffeic acid-sulfate, palmitic acid and tripeptide Pro-Phe-Val. In addition to new biomarkers, molecular evidence was reflected by unprecedented chemical diversity (more than 3000 discriminant masses) that characterized MLF+ and MLF- phenotypes. Distinct chemical families such as phenolic compounds, carbohydrates, amino acids and peptides characterize the extracellular metabolic profiles of the MLF+ phenotype, whereas the MLF- phenotype is associated with sulphur-containing peptides. Moreover, the location of MLF+ biomarkers in the yeast metabolic network indicated the potential involvement of specific pathways in MLF stimulation. The untargeted approach used in this study played a significant role in discovering new and unexpected molecular evidence of wine yeast-bacteria interaction.

This work will appear in the accepted article in Metabolomics (Volume 12 issue 5). (http://link.springer.com/journal/11306).

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Article

Authors

Youzhong Liu*, Cedric Longin, Claudine Degueurce, Hervé Alexandre, Magali Deleris-Bou, Marianna Lucio, Mourad Harir, Philippe Schmitt-Kopplin, Régis Gougeon, Sara Forcisi, Sibylle Dr. Krieger-Weber

*Université de Bourgogne

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Screening sensory-directed methodology for the selection of non-saccharomyces wine yeasts based on perceived aroma quality

The present work contributes by developing a rapid sensory-directed methodology for the screening and selection of high quality wines with different sensory profiles Therefore, Verdejo and Tempranillo musts were fermented with 50 different yeasts each under controlled laboratory conditions. Resulting samples were firstly categorized according to five levels of quality by a panel of wine professionals (Sáenz-Navajas, Ballester et al. 2013). Higher quality samples were described by flash profiling by a semi-trained panel
(Valentin, Chollet et al. 2012) and most distinctive samples were screened by gas chromatography-olfactometry (GC-O) (López, Aznar et al. 2002).

Merging fast sensory profiling with non-targeted GC-MS analysis for multifactorial experimental wine making

Wine aroma is influenced by several viticultural and oenological factors. In this study we used experimental wine making in a full factorial design to determine the impact of grapevine age, must turbidity, and yeast strain on the aroma of Vitis vinifera L. cv. Riesling wines. A recently developed, non-targeted SPME-GC-MS fingerprinting approach for wine volatiles was used. This approach includes the segmentation and mathematical transformation of chromatograms in combination with Parallel Factor Analysis (PARAFAC) and subsequent deconvolution of important chromatogram segments.

Sensory and nephelometric analysis of tannin fractions obtained by ultrafiltration of red wines

The assessment of red wine mouthfeel relies primarily on the sensory description of its tannic properties. This evaluation could be improved by gaining a better understanding of the physicochemical properties of these tannins. Hence, the objectives of the present study were threefold: (1) to gain an insight into the sensory properties of subpopulations of proanthocyanidic tannins of different molecular sizes obtained through several ultrafiltration steps, (2) to quantify the kinetics of haze formation of these proanthocyanidic tannins in a dynamic polyvinylpyrrolidone (PVP) precipitation test, (3) to determine whether a correlation exists between the sensory and the precipitation data.

Multivariate strategies for red wines classification using stilbenes and flavonols content

Bioactive polyphenols from grapes and wines, like stilbenes and flavonols (SaF), are often determined to nutritional evaluation, but also for many other purposes. The objective of this study was to quantify SaF in red wines from “Campanha Gaúcha”, a large and young viticultural region from South Brazil. Moreover, through statistical analysis, evaluate the influence of these compounds according to varieties, production process, harvest years and micro-regions of cultivation. A total of 58 samples of red wines were analyzed by high-performance liquid chromatography coupled to diode array detector (HPLC-DAD) for determination of trans-resveratrol (R), quercetin (Q), myricetin (M), kaempferol (K), trans-e-viniferin (V) and their precursor, cinnamic acid (C).

Interaction between the enzymes of central carbon metabolism and anthocyanin biosynthesis during grape berry development

Primary and secondary metabolites are major components of grape quality and wine typicity. Their accumulation is interconnected through a complex metabolic network, which is still not well understood. This study aims to investigate how the enzymes of central carbon metabolism interact with anthocyanin biosynthesis during grape berry development: does the accumulation of anthocyanins, which represents a non-negligible diversion of carbon metabolic fluxes, require reprogramming of central enzymes or is it controlled downstream of central metabolism? To this end, 23 enzymes involved in central carbon metabolism pathways have been analyzed in the berries of 3 grape cultivars, which have close genetic background but distinct temporal dynamics of anthocyanin accumulation.