Evidence map›Paper›PMID 33771787›Full record

ArticleApplied and environmental microbiology2021

Lipid Composition Analysis Reveals Mechanisms of Ethanol Tolerance in the Model Yeast

M Lairón-Peris, S J Routledge, J A Linney, J Alonso-Del-Real, C M Spickett, A R Pitt, J M Guillamón, E Barrio, A D Goddard, A Querol

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Lipidomic Insight Across 48Microorganisms · 2026
    Article
  4. Article
  5. Article
  6. ZnFood chemistry. Molecular sciences · 2025
    Article
  7. Article
  8. Impact of Ethanol Stress onFoods (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Protective Effects of Melatonin onAntioxidants (Basel, Switzerland) · 2021
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

M Lairón-Peris *Food Biotechnology Department, Institute of Agrochemistry and Food Technology, CSIC, Valencia, Spain.
S J Routledge *College of Health and Life Sciences, Aston University, Birmingham, United Kingdom.
J A LinneyCollege of Health and Life Sciences, Aston University, Birmingham, United Kingdom.
J Alonso-Del-RealFood Biotechnology Department, Institute of Agrochemistry and Food Technology, CSIC, Valencia, Spain.
C M SpickettCollege of Health and Life Sciences, Aston University, Birmingham, United Kingdom.
A R PittCollege of Health and Life Sciences, Aston University, Birmingham, United Kingdom.
J M GuillamónFood Biotechnology Department, Institute of Agrochemistry and Food Technology, CSIC, Valencia, Spain.
E BarrioFood Biotechnology Department, Institute of Agrochemistry and Food Technology, CSIC, Valencia, Spain.
A D GoddardCollege of Health and Life Sciences, Aston University, Birmingham, United Kingdom.
A QuerolFood Biotechnology Department, Institute of Agrochemistry and Food Technology, CSIC, Valencia, Spain.
Aston University · GBInstituto de Agroquímica y Tecnología de Alimentos · ESUniversitat de València · ES

Funding

UKRI | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R02152X/
6 · The paper itself

Abstract

Saccharomyces cerevisiae is an important unicellular yeast species within the biotechnological and the food and beverage industries. A significant application of this species is the production of ethanol, where concentrations are limited by cellular toxicity, often at the level of the cell membrane. Here, we characterize 61 S. cerevisiae strains for ethanol tolerance and further analyze five representatives with various ethanol tolerances. The most tolerant strain, AJ4, was dominant in coculture at 0 and 10% ethanol. Unexpectedly, although it does not have the highest noninhibitory concentration or MIC, MY29 was the dominant strain in coculture at 6% ethanol, which may be linked to differences in its basal lipidome. Although relatively few lipidomic differences were observed between strains, a significantly higher phosphatidylethanolamine concentration was observed in the least tolerant strain, MY26, at 0 and 6% ethanol compared to the other strains that became more similar at 10%, indicating potential involvement of this lipid with ethanol sensitivity. Our findings reveal that AJ4 is best able to adapt its membrane to become more fluid in the presence of ethanol and that lipid extracts from AJ4 also form the most permeable membranes. Furthermore, MY26 is least able to modulate fluidity in response to ethanol, and membranes formed from extracted lipids are least leaky at physiological ethanol concentrations. Overall, these results reveal a potential mechanism of ethanol tolerance and suggest a limited set of membrane compositions that diverse yeast species use to achieve this.

Indexed as

Adaptation, PhysiologicalEthanolFermentationLipidsSaccharomyces cerevisiaeEthanolLipidsethanolmembrane propertiesSaccharomyces cerevisiae

Identifiers

PMID33771787
PMCPMC8174666
OpenAlexW3138002909

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.