Evidence map›Paper›PMID 39885572›Full record

ArticleMicrobial cell factories2025

Response mechanism of ethanol-tolerant Saccharomyces cerevisiae strain ES-42 to increased ethanol during continuous ethanol fermentation.

Xue-Xue Ji, Quan Zhang, Bai-Xue Yang, Qing-Ran Song, Zhao-Yong Sun, Cai-Yun Xie, Yue-Qin Tang

Abstract read
In one paragraph

Article in Microbial cell factories, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Potent Probiotic YeastACS omega · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Impact of Ethanol Stress onFoods (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Review
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

7 authors.

Xue-Xue JiCollege of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.
Quan ZhangSinopec (Dalian) Research Institute of Petroleum and Petrochemicals Co. Ltd, Dalian, Liaoning, 115045, China.
Bai-Xue YangCollege of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.
Qing-Ran SongCollege of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.
Zhao-Yong SunCollege of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.
Cai-Yun XieCollege of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China. xiecy@scu.edu.cn.
Yue-Qin TangCollege of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.

Funding

National Key Research and Development Program of China 2022YFE0108500National Natural Science Foundation of China 52300169
6 · The paper itself

Abstract

backgroundContinuous fermentation offers advantages in improving production efficiency and reducing costs, making it highly competitive for industrial ethanol production. A key requirement for Saccharomyces cerevisiae strains used in this process is their tolerance to high ethanol concentrations, which enables them to adapt to continuous fermentation conditions. To explore how yeast cells respond to varying levels of ethanol stress during fermentation, a two-month continuous fermentation was conducted. Cells were collected at different ethanol concentrations (from 60 g/L to 100 g/L) for comparative transcriptomic analysis.

resultsDuring continuous fermentation, as ethanol concentration increased, the expression of genes associated with cytoplasmic ribosomes, translation, and fatty acid biosynthesis progressively declined, while the expression of genes related to heat shock proteins (HSPs) and ubiquitin-mediated protein degradation gradually increased. Besides, cells exhibited distinct responses to varying ethanol concentrations. At lower ethanol concentrations (nearly 70 g/L), genes involved in mitochondrial ribosomes, oxidative phosphorylation, the tricarboxylic acid (TCA) cycle, antioxidant enzymes, ergosterol synthesis, and glycerol biosynthesis were specifically upregulated compared to those at 60 g/L. This suggests that cells enhanced respiratory energy production, ROS scavenging capacity, and the synthesis of ergosterol and glycerol to counteract stress. At relatively higher ethanol concentrations (nearly 80 g/L), genes involved in respiration and ergosterol synthesis were inhibited, while those associated with glycolysis and glycerol biosynthesis were notably upregulated. This suggests a metabolic shift from respiration towards enhanced glycerol synthesis. Interestingly, the longevity-regulating pathway seemed to play a pivotal role in mediating the cellular adaptations to different ethanol concentrations. Upon reaching an ethanol concentration of 100 g/L, the aforementioned metabolic activities were largely inhibited. Cells primarily focused on enhancing the clearance of denatured proteins to preserve cellular viability.

conclusionsThis study elucidated the mechanisms by which an ethanol-tolerant S. cerevisiae strain adapts to increasing ethanol concentrations during continuous fermentation. The findings suggest that the longevity-regulating pathway may play a critical role in adapting to varying ethanol stress by regulating mitochondrial respiration, glycerol synthesis, ergosterol synthesis, antioxidant enzyme, and HSPs. This work provides a novel and valuable understanding of the mechanisms that govern ethanol tolerance during continuous fermentation.

Indexed as

EthanolFermentationSaccharomyces cerevisiaeErgosterolGene Expression Regulation, FungalGlycerolSaccharomyces cerevisiae ProteinsErgosterolEthanolGlycerolSaccharomyces cerevisiae ProteinsComparative transcriptomeContinuous ethanol fermentationDynamic response mechanismEthanol stressSaccharomyces cerevisiae

Identifiers

PMID39885572
PMCPMC11780993

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.