Membrane Lipid Remodeling in Non-Saccharomyces Wine Yeasts Under Ethanol Stress: From Mechanism Toward a Predictive Lipid Signature

Non-Saccharomyces yeasts shape the aroma, freshness, and reduced-alcohol profiles of wines, yet their oenological contribution is curtailed by a poor tolerance to ethanol. Because ethanol acts on the plasma membrane, the cell’s selective barrier, this limitation is rooted in the membrane lipidome, whose remodeling has been documented but never integrated into a wine-specific, predictive framework. This review provides that synthesis, keeping the non-Saccharomyces wine yeasts as the subject and Saccharomyces cerevisiae as a reference frame. It first describes how ethanol perturbs the bilayer and how the cell compensates through unsaturated fatty acids, ergosterol, phospholipid-class balance, and membrane fluidity. It then traces the concentration- and time-dependent remodeling of the lipidome, together with the medium-chain fatty-acid, temperature, and oxygen co-stressors accompanying it, and the comparative membrane biology distinguishing these yeasts from S. cerevisiae, including the markedly reduced uptake of exogenous sterols under oxygen limitation. Finally, it weighs the nutritional, process, and non-genetically modified strain-improvement strategies that reinforce them. The same lipid descriptors recur throughout, yet are seldom measured in improved wine strains. We argue that the membrane lipidome can be read as a candidate multivariate predictive signature of ethanol tolerance and of fermentation performance, and outline the validation it still requires.

Authors

Institutions

Publication Details

Journal
Fermentation
Published
2026-09-07
DOI
https://doi.org/10.3390/fermentation12090428
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Membrane Lipid Remodeling in Non-Saccharomyces Wine Yeasts Under Ethanol Stress: From Mechanism Toward a Predictive Lipid Signature

Mattia Pia Arena, Maria Gullo, Andrea Pulvirenti, Elisa Aiello
Fermentation
Fermentation and Sensory Analysis
article

Membrane Lipid Remodeling in Non-Saccharomyces Wine Yeasts Under Ethanol Stress: From Mechanism Toward a Predictive Lipid Signature

Mattia Pia Arena, Maria Gullo, Andrea Pulvirenti, Elisa Aiello
article en

Abstract

Non-Saccharomyces yeasts shape the aroma, freshness, and reduced-alcohol profiles of wines, yet their oenological contribution is curtailed by a poor tolerance to ethanol. Because ethanol acts on the plasma membrane, the cell’s selective barrier, this limitation is rooted in the membrane lipidome, whose remodeling has been documented but never integrated into a wine-specific, predictive framework. This review provides that synthesis, keeping the non-Saccharomyces wine yeasts as the subject and Saccharomyces cerevisiae as a reference frame. It first describes how ethanol perturbs the bilayer and how the cell compensates through unsaturated fatty acids, ergosterol, phospholipid-class balance, and membrane fluidity. It then traces the concentration- and time-dependent remodeling of the lipidome, together with the medium-chain fatty-acid, temperature, and oxygen co-stressors accompanying it, and the comparative membrane biology distinguishing these yeasts from S. cerevisiae, including the markedly reduced uptake of exogenous sterols under oxygen limitation. Finally, it weighs the nutritional, process, and non-genetically modified strain-improvement strategies that reinforce them. The same lipid descriptors recur throughout, yet are seldom measured in improved wine strains. We argue that the membrane lipidome can be read as a candidate multivariate predictive signature of ethanol tolerance and of fermentation performance, and outline the validation it still requires.

FermentationVol. 12(9)
University of Modena and Reggio Emilia (IT)
European Commission
Zero hunger
Openalex Percentile: Top 14%
Fermentation and Sensory Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.