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Updated: May 8, 2025

Author Spotlight: Investigating Bacteriophage-Induced Immune Responses in Gnotobiotic Mice
Published on: January 26, 2024
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.
Abstract:
Interest in phage therapy-the use of bacterial viruses to treat infections-has increased recently because of the rise of infections with antibiotic-resistant bacteria and the failure to develop new antibiotics to treat those infections. Phages have shown therapeutic promise in recent work, and successful treatment minimally requires giving the patient a phage that will grow on their infecting bacterium. Although nature offers a bountiful and diverse supply of phages, there have been a surprising number of patient infections that could not be treated with phages because no suitable phage was found to kill the patient's bacterium. Here, we develop computational models to analyze an alternative approach to obtaining phages with new host ranges-directed evolution via laboratory propagation of phages to select mutants that can grow on a new host. The models separately explore alternative directed evolution protocols for phage variants that overcome three types of bacterial blocks to phage growth: a block in adsorption, temperate phage immunity to superinfection, and abortive infection. Protocols assume serial transfer to amplify pre-existing, small-effect mutants that are initially rare. Best protocols are sensitive to the nature of the block, and the models provide several insights for enhancing success specific to each case. A common result is that low dilution rates between transfers are beneficial in reducing the mutant growth rate needed to ascend. Selection to overcome an adsorption block is insensitive to many protocol variations but benefits from long selection times between transfers. A temperate phage selected to grow on its lysogens can evolve in any of three phenotypes, but a common protocol favors the desired changes in all three. Abortive infection appears to be the least amenable to evolving phage growth because it is prone to select phages that avoid infection.
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.
Related Concept Videos
Lytic Cycle of Bacteriophages
Lysogenic Cycle of Bacteriophages

