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Updated: Jul 16, 2026

A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution
Published on: January 12, 2024
Combining Evolutionary Steering and Coevolutionary Phage Training to Generate Predictable Phage-Antibiotic Synergy
Nehme Lahoud1, Sweetzel D Labador1, Mrudula Sane1
1Ecology, Behavior and Evolution Department, University of California San Diego, San Diego, CA, 92093, USA.
Bacteriophage therapy is promising against resistant bacteria. Training phages can make bacteria sensitive to antibiotics, enhancing treatment effectiveness through predictable coevolutionary strategies.
Area of Science:
- Microbiology
- Evolutionary Biology
- Drug Discovery
Background:
- Multidrug-resistant bacterial pathogens pose a significant global health threat.
- Bacteriophage therapy offers an alternative but faces challenges due to rapidly evolving bacterial resistance.
- Two strategies, phage training and phage-antibiotic synergy, aim to overcome resistance.
Purpose of the Study:
- To investigate the intersection of phage training and phage-antibiotic synergy.
- To determine if phage training can induce collateral sensitivity to antibiotics.
- To explore how mechanistic insights can guide predictive therapeutic design.
Main Methods:
- Utilized Escherichia coli and bacteriophage λ model system.
- Applied coevolutionary phage training and assessed bacterial resistance/sensitivity profiles.
- Investigated genetic mechanisms underlying observed sensitivities, focusing on lipopolysaccharide biosynthesis genes.
- Predicted and validated collateral sensitivity with additional antibiotics based on mechanistic understanding.
Main Results:
- Resistance to trained phage, but not untrained phage, induced collateral sensitivity to erythromycin and rifampicin in E. coli.
- This training-induced synergy was mechanistically linked to disruption of the lpcA gene.
- Successfully predicted collateral sensitivity to novobiocin and rifapentine.
- Incorporating sub-lethal erythromycin during phage training enhanced bacterial suppression by promoting phage host receptor switching.
Conclusions:
- Phage-bacteria coevolutionary outcomes can be anticipated and directed.
- Evolution-informed strategies integrating phage training and antibiotic synergy show promise for novel therapeutic design.
- This research highlights the potential of predictive, evolution-guided approaches for combating bacterial resistance.
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