Mathematical comparison of protocols for adapting a bacteriophage to a new host

James J Bull1,2, Stephen M Krone2,3

  • 1Department of Biological Sciences, University of Idaho, 875 Perimeter drive, Moscow, ID 83844, United States.

Virus Evolution
|December 24, 2024
PubMed

Insights

Directed evolution using computational models can generate phages effective against antibiotic-resistant bacteria. This approach optimizes laboratory methods to overcome bacterial resistance, enhancing phage therapy potential.

Area of Science:

  • Microbiology
  • Virology
  • Computational Biology

Background:

  • Phage therapy is gaining interest due to rising antibiotic resistance and a lack of new antibiotic development.
  • Successful phage therapy requires phages that can infect and kill the patient's specific bacteria.
  • Existing phage collections are insufficient to treat all resistant infections, necessitating alternative strategies.

Purpose of the Study:

  • To develop computational models for analyzing directed evolution strategies to create phages with new host ranges.
  • To identify optimal laboratory protocols for evolving phages to overcome specific bacterial resistance mechanisms.

Main Methods:

  • Computational modeling of phage directed evolution protocols.
  • Analysis of phage adaptation to overcome three bacterial growth blocks: adsorption, temperate phage immunity, and abortive infection.
  • Simulation of serial transfer protocols to amplify rare, beneficial phage mutants.

Main Results:

  • Directed evolution protocols are sensitive to the specific bacterial block, with optimized strategies yielding better results.
  • Low dilution rates during serial transfers are beneficial for mutant amplification across different blocks.
  • Selection for overcoming adsorption blocks requires long transfer times, while temperate phage immunity and abortive infection have distinct evolutionary pathways.

Conclusions:

  • Computational models can guide the directed evolution of phages to overcome antibiotic resistance.
  • Optimized laboratory protocols can enhance the success rate of generating therapeutic phages with expanded host ranges.
  • Understanding specific bacterial resistance mechanisms is crucial for designing effective phage evolution strategies.