Ohta Erika, Nakayama Yasumune, Mukai Yukio, Bamba Takeshi, Fukusaki Eiichiro
Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Department of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan.
J Biosci Bioeng. 2016 Apr;121(4):399-405. doi: 10.1016/j.jbiosc.2015.08.006. Epub 2015 Sep 3.
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.
出芽酵母酿酒酵母广泛用于酿造和乙醇生产。在乙醇发酵过程中,酵母细胞对乙醇的敏感性仍然是一个严重问题,人们已经开发了多种遗传方法(例如,在乙醇选择压力下进行随机突变体筛选)来提高乙醇耐受性。在本研究中,我们基于代谢组学作为一种高分辨率定量表型分析方法,开发了一种提高酵母细胞乙醇耐受性的策略。我们进行了气相色谱 - 质谱分析,以鉴定和定量14个突变菌株(包括转录因子和代谢酶基因敲除菌株)中的36种化合物。观察到这些突变体的代谢组与其乙醇耐受性之间存在密切关系。代谢组学分析的数据挖掘表明,几种化合物(如海藻糖、缬氨酸、肌醇和脯氨酸)对乙醇耐受性有很大贡献。我们的方法成功检测到了与乙醇应激相关的知名代谢物,如海藻糖和脯氨酸,因此,为了进一步证明我们的策略,我们在研究中重点关注缬氨酸和肌醇这两种最有前景的目标代谢物。我们的结果表明,同时缺失LEU4和LEU9(导致缬氨酸积累)或INM1和INM2(导致肌醇减少)可显著提高乙醇耐受性。这项研究显示了代谢组学方法在鉴定用于提高酿酒酵母乙醇耐受性菌株改良的靶基因方面的潜力。