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Updated: Jun 10, 2026

Precise Phage Mutagenesis with NgTET-Assisted CRISPR-Cas Systems
Published on: October 14, 2025
Restriction-modification systems and bacteriophage invasion: who wins?
Farida N Enikeeva1, Konstantin V Severinov, Mikhail S Gelfand
1Institute for Information Transmission Problems, the Kharkevich Institute of RAS, Bolshoi Karetny pereulok 19, GSP-4, Moscow 127994, Russia. enikeeva@iitp.ru
This study introduces a mathematical model for phage infection in bacteria with restriction-modification systems. The model links phage survival to enzyme activities, enabling estimation of enzyme ratios from experimental data.
Area of Science:
- Bacteriology
- Virology
- Mathematical Biology
Background:
- Phage infection success is influenced by bacterial restriction-modification (R-M) systems.
- Existing models do not adequately link R-M system activities to observable phage survival parameters.
Purpose of the Study:
- To develop a mathematical model for phage infection dynamics in bacteria with R-M systems.
- To connect R-M enzyme activities to measurable outcomes like cell survival fractions.
Main Methods:
- Modeled phage infection as a pure birth process with a killing state.
- Calculated transitional probabilities and stationary distributions.
- Generalized the model for multiple cells and varying R-M enzyme activity (constant, time-dependent, or random).
Main Results:
- Developed a model describing phage-bacterial R-M system interactions.
- The model provides a framework to link R-M enzyme activities to phage survival rates.
- Obtained results allow estimation of methyltransferase to endonuclease activity ratios.
Conclusions:
- The developed model offers a quantitative approach to understanding phage-R-M system interactions.
- This model can be used to experimentally estimate the relative activities of R-M enzymes.
- Provides a foundation for further research in phage therapy and bacterial resistance.
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