terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Oenococcus oeni clonal diversity in the carbonic maceration winemaking

Oenococcus oeni clonal diversity in the carbonic maceration winemaking

Abstract

This essay was aimed to describe the clonal diversity of Oenococcus oeni in the malolactic fermentation of the carbonic maceration (CM) winemaking. The free and the pressed liquids from CM were sampled and compared to the wine from a standard winemaking with previous destemming and crushing (DC) of grapes [1].O. oeni strain typification was performed by PFGE as González-Arenzana et al. described (2014) [2].  Results showed that 13 genotypes, referred as to letters, were distinguished from the 49 isolated strains, meaning the genotype “a” the 27%, the “b” the 14%, the “c” the 12%, the “d and e” the 10 % each other, and the remaining ones less than the 8% each one. In the traditional winemaking by DC 3 genotypes were found, while in the free liquid of CM were 4 the clones and in the pressed CM wine were 9 (Figure 1). These results demonstrated that the CM winemaking favoured the O. oeni strains diversity, being the pressed fraction 3 times more diverse than DC winemaking, probably due to the breakage of the biofilms formed during the CM at the press moment or because the special environmental.

Figure 1. Percentage of detection of the Oenococcus oeni genotypes named with letters, in the destemming and crushing vinifications and in the free and pressed liquids from carbonic maceration.

Acknowledgements: This study has been financed from the Project RTI2018-096051-R-C31/C33 (MCIU/AEI/FEDER; UE).

References:

1)  Gutiérrez A.R. et al. (2022) Influence of microbial population on the characteristics of carbonic maceration wines LWT-Food Sci. Tech., 166, DOI  10.1016/j.lwt.2022.113783

2)  González-Arenzana L. et al. (2014) Oenococcus oeni strain typification by combination of Multilocus Sequence Typing and Pulsed Field Gel Electrophoresis analysis. Food Microbiol., 38 : 295-302, DOI 10.1016/j.fm.2013.07.014.

DOI:

Publication date: October 10, 2023

Issue: ICGWS 2023

Type: Poster

Authors

L. González-Arenzana1*, I. López-Alfaro, B. Larreina1, P. Garijo1, P. Santamaría1 and A. R. Gutiérrez1

1 ICVV, Instituto de Ciencias de la Vid y el Vino Universidad de La Rioja, Gobierno de La Rioja, CSIC, Finca La Grajera, Ctra. LO-20- salida 13, 26071, Logroño, Spain  

Contact the author*

Keywords

Oenococcus oeni, carbonic maceration, genotypes

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Metabolomic profiling of heat-stressed grape berries 

The projected rise in mean air temperatures together with the frequency, intensity, and length of heat waves in many wine-growing regions worldwide will deeply impact grape berry development and quality. Several studies have been conducted and a large set of molecular data was produced to better understand the impact of high temperatures on grape berry development and metabolism[1]. According to these data, it is highly likely that the metabolomic dynamics could be strongly modulated by heat stress (HS).

Application of an in vitro digestion model to study the bioaccessibility and the effect of the intestinal microbiota on the red wine proanthocyanidins 

Proanthocyanidins are important phenolic fraction for wine quality, contributing to astringency, bitterness and color. Their metabolism begins in the mouth and continues throughout the gastrointestinal tract; however, most of them are accumulated in the colon where are metabolized by the intestinal microbiota, giving rise to a whole series of phenolic acids that may have greater activity at physiological level than the precursors[1]. This study aimed to evaluate in vitro the bioaccessibility of proanthocyanidins in a red wine developed by Bodegas Pradorey, as well as to evaluate the potential effect of intestinal microbiota on polyphenols metabolism identifying and quantifying secondary metabolites.

The surprising role of VvLYK6 in grapevine immune responses triggered by chitin oligomers

For sustainable viticulture, the substitution of chemical inputs with biocontrol products has become one of the most considered strategies. This strategy is based on elicitor-triggered immunity that requires a deep understanding of the molecular mechanisms involved in plant defense activation. Plant immune responses are triggered through the perception of conserved microbe-associated molecular patterns (MAMPs) which are recognized by pattern recognition receptors (PRRs) at the plasma membrane.

The 1000 grapevine genomes project: Cataloguing Australia’s grapevine germplasm

Grapevine cultivars can be unequivocally typed by both physical differences (ampelography) and genetic tests. However due to their very similar characteristics, the identification of clones within a cultivar relies on the accurate tracing of supply records to the point of origin. Such records are not always available or reliable, particularly for older accessions. Whole genome sequencing (WGS) provides the most highly detailed methodology for defining grapevine cultivars and more importantly, this can be extended to differentiating clones within those cultivars.

Chemical profiling and sensory analysis of wines from resistant hybrid grape cultivars vs conventional wines

Recently, there has been a shift toward sustainable wine production, according to EU policy (F2F and Green Deal), to reduce pesticide usage, improve workplace health and safety, and prevent the impacts of climate change. These trends have gained the interest of consumers and winemakers. The cultivation of disease resistant hybrid grape cultivars (DRHGC), known as ‘PIWI’ grapes can help with these objectives [1]. This study aimed to profile white and red wines produced from DRHGC in South Tyrol (Italy). Wines produced from DRHGCs were compared with conventional wines produced by the same wineries. The measured parameters were residual sugars, organic acids, alcohol content, pigments and other phenolics by LC-QqQ/MS, colorimetric indexes (CIELab); and volatile profiles (HS-SPME-GCxGC-ToF/MS [2]).