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Reducing phenotypic instabilities of a microbial population during continuous cultivation based on cell switching
Thai M Nguyen1, Samuel Telek1, Andrew Zicler1
1Terra Research and Teaching Centre, Microbial Processes and Interactions (MiPI), Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Biotechnology and Bioengineering
|June 15, 2021
Summary
Controlling microbial populations in dynamic environments is challenging. Periodic switching, rather than steady forcing, of gene expression in Escherichia coli populations leads to stable induction with limited diversity over extended periods.
Area of Science:
- Microbiology
- Systems Biology
- Biotechnology
Background:
- Predicting microbial population dynamics and gene expression under dynamic conditions like continuous cultivation is difficult.
- Continuous cultivation can lead to genotypic and phenotypic heterogeneity within microbial populations.
- The arabinose operon in Escherichia coli serves as a model to study population diversification.
Purpose of the Study:
- To investigate microbial population diversification during continuous cultivation.
- To explore strategies for maintaining gene induction and controlling phenotypic heterogeneity.
- To model the arabinose operon induction in Escherichia coli under dynamic conditions.
Main Methods:
- Utilized flow cytometry to track green fluorescent protein (GFP) levels in Escherichia coli.
- Employed chemostat cultivation with glucose-arabinose co-feeding.
- Developed and used a segregat system for on-line monitoring and adaptive arabinose induction.
Main Results:
- Observed co-existing GFP-positive and GFP-negative subpopulations across various glucose-arabinose concentrations.
- Demonstrated that periodic arabinose induction in the segregat system maintained high induction levels for over 60 generations.
- Showed that this periodic strategy limited phenotypic diversity compared to continuous induction.
Conclusions:
- Steady forcing of cells into specific phenotypic states is less effective for population control than periodic induction.
- Allowing cells to periodically switch expression around a threshold offers a more robust strategy for stable population behavior.
- Adaptive, periodic control strategies can maintain desired gene expression while managing population heterogeneity.
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