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Quantitative model of ColE1 plasmid copy number control
1Department of Mathematics, Stanford University, CA 94305.
Journal of Molecular Biology
|February 20, 1993
Summary
Replication of the E. coli plasmid ColE1 is controlled by RNA I and RNA II interactions, influenced by Rom protein. A dynamic model reveals key factors affecting plasmid copy number, including synthesis rates and host generation time.
Area of Science:
- Molecular Biology
- Genetics
- Biophysics
Background:
- Plasmid replication initiation in E. coli, specifically ColE1, is regulated by interactions between RNA I and RNA II.
- The plasmid-encoded Rom protein enhances the formation of a complex between RNA I and RNA II, inhibiting replication.
- Previous studies focused on in vitro kinetics, but in vivo dynamics required further investigation.
Purpose of the Study:
- To develop a dynamic model for the in vivo replication control mechanism of the E. coli plasmid ColE1.
- To account for measured in vivo concentrations and half-lives of regulatory RNAs and proteins.
- To deduce a formula for steady-state plasmid concentration and identify key regulatory parameters.
Main Methods:
- Development of a dynamic model incorporating measured in vivo concentrations of RNA I, RNA II, and Rom protein.
- Analysis of the model to derive a formula for steady-state plasmid concentration.
- Comparison of model predictions with previous theoretical analyses and experimental data.
Main Results:
- The model confirms that plasmid copy number strongly depends on the RNA I synthesis rate.
- New predictions indicate significant influence of the RNA I-RNA II complex formation rate constant on copy number.
- Plasmid copy number increases linearly with RNA II synthesis rate and host generation time; Rom protein modulates but does not qualitatively alter control.
Conclusions:
- The dynamic model provides quantitative predictions for plasmid copy number, including increases in rom- mutants.
- The rate of initial unstable complex formation is a critical determinant of plasmid copy number.
- Further experiments are proposed to validate the model's predictions regarding replication control mechanisms.