Literature DB >> 20464391

Mechanisms of ethanol tolerance in Saccharomyces cerevisiae.

Menggen Ma1, Z Lewis Liu.   

Abstract

Saccharomyces cerevisiae is a superb ethanol producer, yet is also sensitive to higher ethanol concentrations especially under high gravity or very high gravity fermentation conditions. Ethanol tolerance is associated with interplay of complex networks at the genome level. Although significant efforts have been made to study ethanol stress response in past decades, mechanisms of ethanol tolerance are not well known. With developments of genome sequencing and genomic technologies, our understanding of yeast biology has been revolutionarily advanced. More evidence of mechanisms of ethanol tolerance have been discovered involving multiple loci, multi-stress, and complex interactions as well as signal transduction pathways and regulatory networks. Transcription dynamics and profiling studies of key gene sets including heat shock proteins provided insight into tolerance mechanisms. A transient gene expression response or a stress response to ethanol does not necessarily lead to ethanol tolerance in yeast. Reprogrammed pathways and interactions of cofactor regeneration and redox balance observed from studies of tolerant yeast demonstrated the significant importance of a time-course study for ethanol tolerance. In this review, we focus on current advances of our understanding for ethanol-tolerance mechanisms of S. cerevisiae including gene expression responses, pathway-based analysis, signal transduction and regulatory networks. A prototype of global system model for mechanisms of ethanol tolerance is presented.

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Year:  2010        PMID: 20464391     DOI: 10.1007/s00253-010-2594-3

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  63 in total

Review 1.  How do yeast cells become tolerant to high ethanol concentrations?

Authors:  Tim Snoek; Kevin J Verstrepen; Karin Voordeckers
Journal:  Curr Genet       Date:  2016-01-12       Impact factor: 3.886

2.  Transcription factor Hap5 induces gsh2 expression to enhance 2-phenylethanol tolerance and production in an industrial yeast Candida glycerinogenes.

Authors:  Yuqin Wang; Zhongyuan Zhang; Xinyao Lu; Hong Zong; Bin Zhuge
Journal:  Appl Microbiol Biotechnol       Date:  2020-03-11       Impact factor: 4.813

3.  Turbidostat culture of Saccharomyces cerevisiae W303-1A under selective pressure elicited by ethanol selects for mutations in SSD1 and UTH1.

Authors:  Liat Avrahami-Moyal; David Engelberg; Jared W Wenger; Gavin Sherlock; Sergei Braun
Journal:  FEMS Yeast Res       Date:  2012-04-23       Impact factor: 2.796

4.  Effects of Lactobacillus plantarum on the ethanol tolerance of Saccharomyces cerevisiae.

Authors:  Xianlin He; Bo Liu; Yali Xu; Ze Chen; Hao Li
Journal:  Appl Microbiol Biotechnol       Date:  2021-03-01       Impact factor: 4.813

5.  Correlation between ethanol stress and cellular fatty acid composition of alcohol producing non-Saccharomyces in comparison with Saccharomyces cerevisiae by multivariate techniques.

Authors:  K M Archana; R Ravi; K A Anu-Appaiah
Journal:  J Food Sci Technol       Date:  2015-02-19       Impact factor: 2.701

6.  Overexpression of smORF YNR034W-A/EGO4 in Saccharomyces cerevisiae increases the fermentative efficiency of Agave tequilana Weber must.

Authors:  Naurú Idalia Vargas-Maya; Gloria Angélica González-Hernández; Israel Enrique Padilla-Guerrero; Juan Carlos Torres-Guzmán
Journal:  J Ind Microbiol Biotechnol       Date:  2016-11-16       Impact factor: 3.346

7.  Examining the role of membrane lipid composition in determining the ethanol tolerance of Saccharomyces cerevisiae.

Authors:  Clark M Henderson; David E Block
Journal:  Appl Environ Microbiol       Date:  2014-03-07       Impact factor: 4.792

8.  Metabolic responses to Lactobacillus plantarum contamination or bacteriophage treatment in Saccharomyces cerevisiae using a GC-MS-based metabolomics approach.

Authors:  Feng-Xia Cui; Rui-Min Zhang; Hua-Qing Liu; Yan-Feng Wang; Hao Li
Journal:  World J Microbiol Biotechnol       Date:  2015-09-18       Impact factor: 3.312

9.  Ethanol production and maximum cell growth are highly correlated with membrane lipid composition during fermentation as determined by lipidomic analysis of 22 Saccharomyces cerevisiae strains.

Authors:  Clark M Henderson; Michelle Lozada-Contreras; Vladimir Jiranek; Marjorie L Longo; David E Block
Journal:  Appl Environ Microbiol       Date:  2012-10-12       Impact factor: 4.792

10.  Improve carbon metabolic flux in Saccharomyces cerevisiae at high temperature by overexpressed TSL1 gene.

Authors:  Xiang-Yang Ge; Yan Xu; Xiang Chen
Journal:  J Ind Microbiol Biotechnol       Date:  2013-02-02       Impact factor: 3.346

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