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暴露于动态pH值和葡萄糖环境下的酵母的生理学与稳健性

Physiology and Robustness of Yeasts Exposed to Dynamic pH and Glucose Environments.

作者信息

Torello Pianale Luca, Blöbaum Luisa, Grünberger Alexander, Olsson Lisbeth

机构信息

Department of Life Sciences, Industrial Biotechnology Division, Chalmers University of Technology, Gothenburg, Sweden.

Multiscale Bioengineering, Technical Faculty, Bielefeld University, Bielefeld, Germany.

出版信息

Biotechnol Bioeng. 2025 Jul;122(7):1656-1668. doi: 10.1002/bit.28984. Epub 2025 Apr 11.

Abstract

Gradients negatively affect performance in large-scale bioreactors; however, they are difficult to predict at laboratory scale. Dynamic microfluidics single-cell cultivation (dMSCC) has emerged as an important tool for investigating cell behavior in rapidly changing environments. In the present study, dMSCC, biosensors of intracellular parameters, and robustness quantification were employed to investigate the physiological response of three Saccharomyces cerevisiae strains to substrate and pH changes every 0.75-48 min. All strains showed higher sensitivity to substrate than pH oscillations. Strain-specific intracellular responses included higher relative glycolytic flux and oxidative stress response for strains PE2 and CEN.PK113-7D, respectively. Instead, the Ethanol Red strain displayed the least heterogeneous populations and the highest robustness for multiple functions when exposed to substrate oscillations. This result could arise from a positive trade-off between ATP levels and ATP stability over time. The present study demonstrates the importance of coupling physiological responses to dynamic environments with simultaneous characterization of strains, conditions, individual regimes, and robustness analysis. All these tools are a suitable add-on to traditional evaluation and screening workflows at both laboratory and industrial scale, and can help bridge the gap between these two.

摘要

梯度会对大规模生物反应器中的性能产生负面影响;然而,在实验室规模下却很难预测这些梯度。动态微流控单细胞培养(dMSCC)已成为研究细胞在快速变化环境中行为的重要工具。在本研究中,采用dMSCC、细胞内参数生物传感器和稳健性量化方法,每隔0.75 - 48分钟研究三种酿酒酵母菌株对底物和pH变化的生理反应。所有菌株对底物的敏感性均高于对pH振荡的敏感性。菌株特异性的细胞内反应分别包括PE2菌株较高的相对糖酵解通量和CEN.PK113 - 7D菌株较高的氧化应激反应。相反,乙醇红菌株在暴露于底物振荡时,表现出最少的异质群体和最高的多功能稳健性。这一结果可能源于ATP水平与ATP随时间稳定性之间的正向权衡。本研究证明了将生理反应与动态环境相耦合,同时对菌株、条件、个体状态和稳健性分析进行表征的重要性。所有这些工具都是对实验室和工业规模传统评估与筛选工作流程的合适补充,有助于弥合这两者之间的差距。

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