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模拟工业生物反应器的混合诱导异质性刺激了产乙醇酵母的长期适应程序。

Mimicked Mixing-Induced Heterogeneities of Industrial Bioreactors Stimulate Long-Lasting Adaption Programs in Ethanol-Producing Yeasts.

机构信息

Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.

Royal DSM, 2613 AX Delft, The Netherlands.

出版信息

Genes (Basel). 2023 Apr 27;14(5):997. doi: 10.3390/genes14050997.

DOI:10.3390/genes14050997
PMID:37239357
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10218636/
Abstract

Commercial-scale bioreactors create an unnatural environment for microbes from an evolutionary point of view. Mixing insufficiencies expose individual cells to fluctuating nutrient concentrations on a second-to-minute scale while transcriptional and translational capacities limit the microbial adaptation time from minutes to hours. This mismatch carries the risk of inadequate adaptation effects, especially considering that nutrients are available at optimal concentrations on average. Consequently, industrial bioprocesses that strive to maintain microbes in a phenotypic sweet spot, during lab-scale development, might suffer performance losses when said adaptive misconfigurations arise during scale-up. Here, we investigated the influence of fluctuating glucose availability on the gene-expression profile in the industrial yeast Ethanol Red™. The stimulus-response experiment introduced 2 min glucose depletion phases to cells growing under glucose limitation in a chemostat. Even though Ethanol Red™ displayed robust growth and productivity, a single 2 min depletion of glucose transiently triggered the environmental stress response. Furthermore, a new growth phenotype with an increased ribosome portfolio emerged after complete adaptation to recurring glucose shortages. The results of this study serve a twofold purpose. First, it highlights the necessity to consider the large-scale environment already at the experimental development stage, even when process-related stressors are moderate. Second, it allowed the deduction of strain engineering guidelines to optimize the genetic background of large-scale production hosts.

摘要

从进化的角度来看,商业规模的生物反应器为微生物创造了一个非自然的环境。混合不足会导致单个细胞在秒到分钟的时间范围内暴露于不断变化的营养浓度中,而转录和翻译能力将微生物的适应时间限制在几分钟到几小时之间。这种不匹配存在适应效果不足的风险,特别是考虑到平均而言,营养物质以最佳浓度供应。因此,在实验室规模开发过程中,努力使微生物保持在表型最佳状态的工业生物工艺,在放大过程中出现这种自适应错误配置时,可能会导致性能损失。在这里,我们研究了波动的葡萄糖可用性对工业酵母 Ethanol Red™ 基因表达谱的影响。在恒化器中限制葡萄糖生长的条件下,刺激-反应实验引入了 2 分钟的葡萄糖耗竭阶段。尽管 Ethanol Red™ 表现出强大的生长和生产力,但单次 2 分钟的葡萄糖耗竭会短暂触发环境应激反应。此外,在完全适应反复出现的葡萄糖短缺后,会出现一种新的核糖体组合增加的生长表型。这项研究的结果有两个目的。首先,它强调了即使在过程相关应激源适中的情况下,也需要在实验开发阶段就考虑大规模环境。其次,它允许推导出菌株工程指南,以优化大规模生产宿主的遗传背景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc1/10218636/326fefdf3f34/genes-14-00997-g008.jpg
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