Macrowine 2021
IVES 9 IVES Conference Series 9 Optimised extraction and preliminary characterisation of mannoproteins from non-Saccharomyces wine yeasts

Optimised extraction and preliminary characterisation of mannoproteins from non-Saccharomyces wine yeasts

Abstract

The use of non-Saccharomyces yeast species for the improvement of wine technological and oenological properties is a topic that has gained much interest in recent years [1]. Their application as co-starter cultures sequential to the inoculation of Saccharomyces cerevisiae and in aging on the lees has been shown to improve aspects such as protein stability and mouthfeel [2]. These contributions have frequently been associated with higher levels of polysaccharides, specifically the cell wall-derived mannoprotein [3]. Furthermore, mannoprotein structure and composition has been shown to vary between yeast strains, which in turn may influence their behaviour in the wine matrix [4-6]. However, non-Saccharomyces yeasts are typically weak fermentors and are frequently out-competed in the fermentation medium. An alternative strategy to their use as co-starter cultures is the isolation of the compound of interest for exogenous application to wine [7]. Indeed, the addition of exogenous mannoprotein-containing products derived from the cell wall of the wine yeast S. cerevisiae is a fairly common winemaking practice [8]. Nevertheless, the extraction of mannoproteins from non-Saccharomyces yeasts has not yet been well described. AIM: This study aimed to optimise the extraction of mannoproteins from four non-Saccharomyces strains, and to perform a preliminary investigation into the compositional differences of the mannoproteins obtained from the different species.

METHODS: Four non-Saccharomyces wine strains, Saccharomyces cerevisiaeSaccharomyces boulardiiMetschnikowia fructicola and Torulaspora delbrueckii, were exposed to combined methods with varied parameters of ultrasound and enzymatic extraction with β-glucanase to optimise mannoprotein yield. Colorimetric assays were used to quantify protein and carbohydrate concentrations in the extracts.

RESULTS: Yeast cells subjected to 4 min of ultrasound treatment applied at 80% of the maximum amplitude with a 50% duty cycle, followed by an enzymatic treatment of 4000 U lyticase per g dry cells weight, showed the highest yield of mannoproteins from all species. Furthermore, preliminary evaluation of the obtained extracts revealed differences in carbohydrate/protein ratios between species and with increased enzyme incubation time, as demonstrated by the higher ratios obtained for T. Delbrueckii and S. cerevisiae after almost all treatments, in comparison to M. fructicola and S. boulardii.

CONCLUSIONS: The results obtained in this study form an important step towards further characterisation of extraction treatment impact and yeast species effect on the extracted mannoproteins. Their impact on the carbohydrate/protein ratio in particular is an important factor to consider for applications such as wine protein haze reduction and tartrate stabilisation, and requires more in-depth investigation of isolated mannoproteins.

DOI:

Publication date: September 3, 2021

Issue: Macrowine 2021

Type: Article

Authors

Carla Snyman, Benoit DIVOL, Matteo MARANGON, Julie MEKOUE NGUELA, Nathalie SCIECZKOWSKI

South African Grape and Wine Research Institute, Department of Viticulture and Oenology, Private Bag X1, Matieland 7602, South Africa, South African Grape and Wine Research Institute, Department of Viticulture and Oenology, Private Bag X1, Matieland 7602, South Africa, Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale Dell’Università, 16, 35020, Legnaro, Padova, Italy, Lallemand SAS, 19 rue des briquetiers, BP 59, 31702 Blagnac, France, Lallemand SAS, 19 rue des briquetiers, BP 59, 31702 Blagnac, France

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Keywords

mannoprotein; yeast; non-saccharomyces; extraction; wine; ultrasound; β-glucanase

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Grape berry size is a key factor in determining New Zealand Pinot noir wine composition

Making high quality but affordable Pinot noir (PN) wine is challenging in most terroirs and New Zealand’s (NZ) situation is no exception. To increase the probability of making highly typical PN wines producers choose to grow grapes in cool climates on lower fertility soils while adopting labour intensive practices. Stringent yield targets and higher input costs necessarily mean that PN wine cost is high, and profitability lower, in line-priced varietal wine ranges. To understand the reasons why higher yielding vines are perceived to produce wines of lower quality we have undertaken an extensive study of PN in NZ. Since 2018, we established a network of twelve trial sites in three NZ regions to find individual vines that produced acceptable commercial yields (above 2.5kg per vine) and wines of composition comparable to “Icon” labels. Approximately 20% of 660 grape lots (N = 135) were selected from within a narrow juice Total Soluble Solids (TSS) range and made into single vine wines under controlled conditions. Principal Component Analysis of the vine, berry, juice and wine parameters from three vintages found grape berry mass to be most effective clustering variable. As berry mass category decreased there was a systematic increase in the probability of higher berry red colour and total phenolics with a parallel increase in wine phenolics, changed aroma fraction and decreased juice amino acids. The influence of berry size on wine composition would appear stronger than the individual effects of vintage, region, vineyard or vine yield. Our observations support the hypothesis that it is possible to produce PN wines that fall within an “Icon” benchmark composition range at yields above 2.5kg per vine provided that the Leaf Area:Fruit Weight ratio is above 12cm2 per g, mean berry mass is below 1.2g and juice TSS is above 22°Brix.

Impact of yeast derivatives to increase the phenolic maturity and aroma intensity of wine

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δ13C : A still underused indicator in precision viticulture  

The first demonstration of the interest of carbon isotope composition of sugars in grapevine, as an integrated indicator of vineyard water status, dates back to 2000 (Gaudillère et al., 1999; Van Leeuwen et al., 2001). Thanks to the isotopic discrimination of Carbon that takes place during plant photosynthesis, under hydric stress conditions, it is possible to accurately estimate the photosynthetic activity. Ever since, δ13C has been widely applied with success to zonation, terroir studies and vine physiology research, but is still not widely used by viticulturists. This is quite astonishing by considering the impact of global warming on viticulture and the need to improve water management, that would justify a widespread use of δ13C.
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A predictive model of spatial Eca variability in the vineyard to support the monitoring of plant status

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Climate modeling at local scale in the Waipara winegrowing region in the climate change context

In viticulture, a warming climate can have a very significant impact on grapevine development and therefore on the quality and characteristics of wines across different spatial scales, ranging from global to local. In order to adapt wine-growing to climate change, global climate models can be used to define future scenarios, but only at the scale of major wine regions. Despite the huge progress made over the last ten years in terms of the spatial resolution of climate models (now downscaled to a few square kilometres), they are not yet sufficiently precise to account for the local climate variability associated with such parameters as local topography, in spite of these parameters being decisive for vine and wine characteristics. This study describes a method to downscale future climate scenarios to vineyard scale. Networks of data loggers have been used to collect air temperature at canopy level in the Waipara winegrowing region (New Zealand) over five growing seasons. These measurements allow the creation of fine-scale geostatistical models and maps of temperature (at 100 m resolution) for the growing season. In order to model climate change at pilot site scale, these geostatistical models have been combined with regional climate change predictions for the periods 2031-2050 and 2081-2100 based on the RCP8.5 climate change scenario. The integration of local climate variability with regionalized climate change simulations allows assessment of the impacts of climate change at the vineyard scale. The improved knowledge gained using this methodology results from the increased horizontal resolution that better addresses the concerns of winegrowers. The results provide the local winegrowers with information necessary to understand current processes, as well as historical and future viticulture trends at the scale of their site, thereby facilitating decisions about future response strategies.

Macrowine 2021
IVES 9 IVES Conference Series 9 Optimised extraction and preliminary characterisation of mannoproteins from non-Saccharomyces wine yeasts

Optimised extraction and preliminary characterisation of mannoproteins from non-Saccharomyces wine yeasts

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