Phage therapy via receptor-constrained evolutionary traps.

Area of Science:

• Microbiology
• Evolutionary Biology
• Bacteriophage Research

Background:

• Phage therapy is a promising alternative to antibiotics but is often hindered by bacterial resistance.
• Bacterial evolution of resistance can lead to treatment failure in phage therapy.
• Current strategies often focus on suppressing bacterial growth rather than managing evolutionary trajectories.

Purpose of the Study:

• To propose a novel framework for designing phages that overcome bacterial resistance.
• To introduce the concept of receptor-constrained evolutionary traps.
• To demonstrate how phage selection can exploit bacterial evolutionary trade-offs.

Main Methods:

• Conceptual framework development based on evolutionary principles.
• Analysis of receptor modification costs in bacterial evolution.
• Designing phages to exploit predictable evolutionary trade-offs.

Main Results:

• Bacterial resistance evolution can be steered by targeting specific receptors.
• Modification of phage receptors can impose costs, leading to reduced virulence or antibiotic resensitization.
• Receptor-constrained evolutionary traps provide a predictable mechanism to manage bacterial evolution.

Conclusions:

• Phage therapy can be made more effective by designing phages that create evolutionary traps.
• Exploiting predictable costs associated with resistance is key to steering bacterial evolution.
• This approach offers a robust strategy for long-term phage therapy success.