Repeated glucose oscillations in high cell–density cultures influence stress–related functions of <i>Escherichia coli</i>

Engineering microbial cells for the commercial production of biomolecules and biochemicals requires understanding how cells respond to dynamically changing substrate (feast-famine) conditions in industrial-scale bioreactors. Scale-down methods that oscillate substrate are commonly applied to predict the industrial-scale behavior of microbes. We followed a compartment modeling approach to design a scale-down method based on the simulation of an industrial-scale bioreactor. This study uses high cell-density scale-down experiments to investigate <i>Escherichia coli</i> knockout strains of five major glucose-sensitive transcription factors (Cra, Crp, FliA, PrpR, and RpoS) to study their regulatory role during glucose oscillations. RNA-sequencing analysis revealed that the glucose oscillations caused the down-regulation of several stress-related functions in <i>E. coli</i>. An in-depth analysis of strain physiology and transcriptome revealed a distinct phenotype of the strains tested under glucose oscillations. Specifically, the knockout strains of Cra, Crp, and RpoS resulted in a more sensitive transcriptional response than the control strain, while the knockouts of FliA and PrpR responded less severely. These findings imply that the regulation orchestrated by Cra, Crp, and RpoS may be essential for robust <i>E. coli</i> production strains. In contrast, the regulation by FliA and PrpR may be undesirable for temporal oscillations in glucose availability.

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Publication Details

Journal
PNAS Nexus
Published
2024-09-01
DOI
https://doi.org/10.1093/pnasnexus/pgae376
Citations
5
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
1.17

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article

Repeated glucose oscillations in high cell–density cultures influence stress–related functions of Escherichia coli

Suresh Sudarsan, Süleyman Øzmerih, Daniel C. Zielinski, Jonas Bafna‐Rührer et al.
5 citations
PNAS Nexus
Microbial Metabolic Engineering and Bioproduction
1.17
article

Repeated glucose oscillations in high cell–density cultures influence stress–related functions of Escherichia coli

Suresh Sudarsan, Süleyman Øzmerih, Daniel C. Zielinski, Jonas Bafna‐Rührer, Lei Yang, Yashomangalam D Bhutada, Jean Victor Orth
article en
5 citations

Abstract

Engineering microbial cells for the commercial production of biomolecules and biochemicals requires understanding how cells respond to dynamically changing substrate (feast-famine) conditions in industrial-scale bioreactors. Scale-down methods that oscillate substrate are commonly applied to predict the industrial-scale behavior of microbes. We followed a compartment modeling approach to design a scale-down method based on the simulation of an industrial-scale bioreactor. This study uses high cell-density scale-down experiments to investigate <i>Escherichia coli</i> knockout strains of five major glucose-sensitive transcription factors (Cra, Crp, FliA, PrpR, and RpoS) to study their regulatory role during glucose oscillations. RNA-sequencing analysis revealed that the glucose oscillations caused the down-regulation of several stress-related functions in <i>E. coli</i>. An in-depth analysis of strain physiology and transcriptome revealed a distinct phenotype of the strains tested under glucose oscillations. Specifically, the knockout strains of Cra, Crp, and RpoS resulted in a more sensitive transcriptional response than the control strain, while the knockouts of FliA and PrpR responded less severely. These findings imply that the regulation orchestrated by Cra, Crp, and RpoS may be essential for robust <i>E. coli</i> production strains. In contrast, the regulation by FliA and PrpR may be undesirable for temporal oscillations in glucose availability.

PNAS NexusVol. 3(9)
Novo Nordisk Foundation (DK), La Jolla Bioengineering Institute (US), Technical University of Denmark (DK)
Novo Nordisk, Novo Nordisk Fonden
Zero hunger
Openalex Percentile: Top 22%
Microbial Metabolic Engineering and Bioproduction
1.17
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