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Determining the bistability parameter ranges of artificially induced lac operon using the root locus method
N Avcu1, H Alyürük2, G K Demir1
1Department of Electrical and Electronics Engineering, Faculty of Engineering, Dokuz Eylül University, D1-041 Buca Izmir, 35390 Izmir, Turkey.
This study identifies complete conditions for bistability in the E. coli lac operon using the root locus method. This approach precisely defines parameter regions for gene regulatory network behavior and synthetic biology applications.
Area of Science:
- Systems Biology
- Molecular Biology
- Biophysics
Background:
- Gene regulatory networks (GRNs) exhibit complex behaviors like bistability, crucial for cellular differentiation and decision-making.
- The lac operon in Escherichia coli (E. coli) is a model system for studying gene regulation and bistability.
- Previous analyses of lac operon bistability lacked complete parametric conditions.
Purpose of the Study:
- To determine the necessary and sufficient parametric conditions for bistability in the E. coli lac operon.
- To apply the root locus method for a comprehensive analysis of GRN parameter spaces.
- To provide a framework for analyzing biological systems with parameter uncertainties.
Main Methods:
- Employed the root locus method applied to the polynomial equilibrium equation of the lac operon model.
- Utilized an ordinary differential equation system compatible with Hill and Michaelis-Menten kinetics.
- Treated model parameters as variables to analyze steady-state behavior under uncertainty.
Main Results:
- Derived a complete set of necessary and sufficient conditions for lac operon bistability.
- Identified specific parameter ranges that guarantee bistability.
- Demonstrated the applicability of the root locus method to diverse mass action kinetics-based models.
Conclusions:
- The root locus method offers a robust approach to analyzing GRN steady-state dynamics and parameter uncertainties.
- The identified bistability conditions can explain in vivo observations in E. coli.
- Findings support the design of synthetic biological hysteretic switches.
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