Genomic and phenotype-based framework for rational design of phage cocktails against Escherichia coli isolates from urinary tract infections

Authors

Ugalde Silva, P., Champoux, A., Chenard, A., Tuytschaevers, S., Jolicoeur, E., Rivard, N., Fortier, L.-C.

Abstract

Urinary tract infections (UTIs) are frequently caused by Escherichia coli and are increasingly associated with antimicrobial resistance, highlighting the need for alternative therapies. Although phage therapy is a promising approach, the rational selection of phages and phage cocktails remains challenging, particularly when detailed genomic information on the infecting strain is unavailable. In this study, we isolated 18 phages from environmental samples collected in Sherbrooke, Quebec, Canada. Genome sequencing identified 15 pure lytic phages representing diverse taxonomic groups and revealed prophage-derived contaminants in three isolates, underscoring the importance of genomic validation during phage discovery. Host range was determined using efficiency-of-plating (EOP) assays against UTI-associated E. coli isolates. Based on host-range overlap and cumulative EOP values, we developed a phenotype-based framework for phage cocktail design and classified combinations as redundant or complementary. Complementary cocktails composed of phages with distinct host ranges and high infection effectiveness consistently outperformed redundant combinations in time-kill assays, demonstrating that host-range diversity and lytic effectiveness are independent properties that should be considered separately during cocktail design. To evaluate cocktail performance under physiologically relevant conditions, the most effective combinations were tested in artificial urine. Both cocktails exhibited reduced activity compared with standard laboratory media, indicating that environmental conditions strongly influence phage-host interactions. Together, our results demonstrate that host-range overlap and cumulative infection effectiveness provide a practical framework for identifying effective phage combinations in the absence of detailed bacterial genomic information and may facilitate the rational development of phage therapies for UTIs.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 26 Sep 2026.

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