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首页> 外文期刊>Journal of applied microbiology >Transcription profile of brewery yeast under fermentation conditions
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Transcription profile of brewery yeast under fermentation conditions

机译:发酵条件下酿酒酵母的转录概况

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Aim: Yeast strains, used in the brewing industry, experience distinctive physiological conditions. During a brewing fermentation, yeast are exposed to anaerobic conditions, high specific gravity and low temperature. The purpose of this study was to examine the global gene expression profile of yeast subjected to brewing stress. Methods and Results: We have carried out a microarray analysis of a typical brewer's yeast during the course of an 8-day fermentation in 15°P wort. We used the probes derived from Saccharomyces cerevisiae genomic DNA on the chip and RNA isolated from three stages of brewing. This analysis shows a high level of expression of genes involved in fatty acid and ergosterol biosynthesis early in fermentation. Furthermore, genes involved in respiration and mitochondrial protein synthesis also show higher levels of expression. Conclusions: Surprisingly, we observed a complete repression of many stress response genes and genes involved in protein synthesis throughout the 8-day period compared with that at the start of fermentation. Significance and Impact of the Study: This microarray data set provides an analysis of gene expression under brewing fermentation conditions. The data provide an insight into the various metabolic processes altered or activated by brewing conditions of growth. This study leads to future experiments whereby selective alterations in brewing conditions could be introduced to take advantage of the changing transcript profile to improve the quality of the brew.
机译:目的:在酿造行业中使用的酵母菌株,体验鲜明的生理条件。在酿造发酵期间,酵母暴露于厌氧条件,高比重和低温。本研究的目的是检查对酿造胁迫进行酵母的全局基因表达谱。方法和结果:在15°P麦芽汁的8天发酵过程中,我们在典型的酿酒师酵母进行了微阵列分析。我们使用从芯片和RNA源自酿酒酵母菌基因组DNA的探针和从酿造的三个阶段分离。该分析表明,在发酵中,脂肪酸和Ergosterol生物合成中涉及的基因的高水平表达。此外,参与呼吸和线粒体蛋白质合成的基因也显示出更高水平的表达。结论:令人惊讶的是,与发酵开始时,我们观察到在整个8天期间的许多应激反应基因和参与蛋白质合成中的基因的完全抑制。研究的意义和影响:该微阵列数据集在酿造发酵条件下提供了基因表达的分析。数据提供了通过酿造生长条件改变或激活的各种代谢过程的洞察。本研究导致未来的实验,从而可以引入酿造条件中的选择性改变以利用变化的转录曲线,以提高酿造的质量。

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