Physiology and Robustness of Yeasts Exposed to Dynamic pH and Glucose Environments
Journal article, 2025

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.

glycolytic flux

robustness

ATP

bioprocess

microfluidics

biosensors

oxidative stress

dynamic environment

Saccharomyces cerevisiae

Author

Luca Torello Pianale

Chalmers, Life Sciences, Industrial Biotechnology

Luisa Blöbaum

Bielefeld University

Alexander Grünberger

Karlsruhe Institute of Technology (KIT)

Bielefeld University

Lisbeth Olsson

Chalmers, Life Sciences, Industrial Biotechnology

Biotechnology and Bioengineering

0006-3592 (ISSN) 1097-0290 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Bioenergy

Analytical Chemistry

Microbiology

DOI

10.1002/bit.28984

PubMed

40219637

More information

Latest update

4/23/2025