Literature DB >> 26344121

Metabolomic approach for improving ethanol stress tolerance in Saccharomyces cerevisiae.

Erika Ohta1, Yasumune Nakayama1, Yukio Mukai2, Takeshi Bamba1, Eiichiro Fukusaki3.   

Abstract

The budding yeast Saccharomyces cerevisiae is widely used for brewing and ethanol production. The ethanol sensitivity of yeast cells is still a serious problem during ethanol fermentation, and a variety of genetic approaches (e.g., random mutant screening under selective pressure of ethanol) have been developed to improve ethanol tolerance. In this study, we developed a strategy for improving ethanol tolerance of yeast cells based on metabolomics as a high-resolution quantitative phenotypic analysis. We performed gas chromatography-mass spectrometry analysis to identify and quantify 36 compounds on 14 mutant strains including knockout strains for transcription factor and metabolic enzyme genes. A strong relation between metabolome of these mutants and their ethanol tolerance was observed. Data mining of the metabolomic analysis showed that several compounds (such as trehalose, valine, inositol and proline) contributed highly to ethanol tolerance. Our approach successfully detected well-known ethanol stress related metabolites such as trehalose and proline thus, to further prove our strategy, we focused on valine and inositol as the most promising target metabolites in our study. Our results show that simultaneous deletion of LEU4 and LEU9 (leading to accumulation of valine) or INM1 and INM2 (leading to reduction of inositol) significantly enhanced ethanol tolerance. This study shows the potential of the metabolomic approach to identify target genes for strain improvement of S. cerevisiae with higher ethanol tolerance.
Copyright © 2015 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ethanol tolerance; Gas chromatography/mass spectrometry; Metabolomics; Multivariate analysis; Yeast

Mesh:

Substances:

Year:  2015        PMID: 26344121     DOI: 10.1016/j.jbiosc.2015.08.006

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  7 in total

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Authors:  Honglun Yuan; Yong Xu; Yaozhong Chen; Yangyang Zhan; Xuetuan Wei; Lu Li; Dong Wang; Penghui He; Shengqing Li; Shouwen Chen
Journal:  Metabolomics       Date:  2019-02-20       Impact factor: 4.290

2.  A transcriptome analysis of the ameliorate effect of Cyclocarya paliurus triterpenoids on ethanol stress in Saccharomyces cerevisiae.

Authors:  Yuhui Chen; Xin Zhang; Man Zhang; Jieyu Zhu; Zufang Wu; Xiaojie Zheng
Journal:  World J Microbiol Biotechnol       Date:  2018-11-26       Impact factor: 3.312

3.  Alterations in Docosahexaenoic Acid-Related Lipid Cascades in Inflammatory Bowel Disease Model Mice.

Authors:  Shin Nishiumi; Yoshihiro Izumi; Masaru Yoshida
Journal:  Dig Dis Sci       Date:  2018-03-21       Impact factor: 3.199

4.  LncRNAs of Saccharomyces cerevisiae bypass the cell cycle arrest imposed by ethanol stress.

Authors:  Lucas Cardoso Lázari; Ivan Rodrigo Wolf; Amanda Piveta Schnepper; Guilherme Targino Valente
Journal:  PLoS Comput Biol       Date:  2022-05-19       Impact factor: 4.779

Review 5.  Physiology, ecology and industrial applications of aroma formation in yeast.

Authors:  Maria C Dzialo; Rahel Park; Jan Steensels; Bart Lievens; Kevin J Verstrepen
Journal:  FEMS Microbiol Rev       Date:  2017-08-01       Impact factor: 16.408

6.  Effects of MCHM on yeast metabolism.

Authors:  Amaury Pupo; Kang Mo Ku; Jennifer E G Gallagher
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

Review 7.  Recent Advances in the Metabolic Engineering of Yeasts for Ginsenoside Biosynthesis.

Authors:  Luan Luong Chu; Jake Adolf V Montecillo; Hanhong Bae
Journal:  Front Bioeng Biotechnol       Date:  2020-02-25
  7 in total

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