Metabolomic approach for improving ethanol stress tolerance in Saccharomyces cerevisiae

Erika Ohta, Yasumune Nakayama, Yukio Mukai, Takeshi Bamba, Eiichiro Fukusaki

研究成果: Contribution to journalArticle査読

24 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)399-405
ページ数7
ジャーナルJournal of Bioscience and Bioengineering
121
4
DOI
出版ステータス出版済み - 4 1 2016
外部発表はい

All Science Journal Classification (ASJC) codes

  • バイオテクノロジー
  • バイオエンジニアリング
  • 応用微生物学とバイオテクノロジー

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