Temperate phage-antibiotic synergy is widespread, but varies by phage, host, and antibiotic pairing
Fatima, R.; Hynes, A. P.
Show abstract
With a decline in antibiotic effectiveness, there is a renewed interest in bacteriophage (phage) therapy. Phages are bacterial-specific viruses that can be used alone or with antibiotics to reduce bacterial load. Most phages are unsuitable for therapy because they are temperate and can integrate into the host genome, forming a lysogen which is protected from subsequent phage infections. However, integrated phages can be awakened by stressors such as antibiotics. This interaction was previously reported to result in a potent synergy between antibiotic classes and a model E. coli temperate phage, which can readily eradicate the bacterium at sub-lethal concentrations of antibiotics, despite the poor effectiveness of the phage alone. Here we explore the generalizability of this synergy to a clinically relevant pathogen: Pseudomonas aeruginosa. Thirty-six temperate phages isolated from clinical strains were screened for synergy with six antibiotics (ciprofloxacin, levofloxacin, meropenem, piperacillin, tobramycin, polymyxin B), using checkerboard assays. Interestingly, our screen identified phages that can synergize with each antibiotic, despite their widely differing targets - however, these are highly phage-antibiotic and phage-host pairing specific. Screening the strongest pairings across multiple clinical strains reveal that these phages can reduce the antibiotic minimum inhibitory concentration up to 32-fold, even in a resistant isolate, functionally re-sensitizing the bacterium to the antibiotic. When meropenem and tobramycin were effective synergistic agents, they did not reduce the frequency of lysogens, suggesting a mechanism of action independent of the temperate nature of the phages. In contrast, ciprofloxacin and piperacillin were able to reduce the frequency of lysogeny, the former by inducing phages - as previously reported in E. coli. Curiously, synergy with piperacillin reduced the frequency of lysogeny, but not by inducing the phages, and therefore likely acts by biasing the phage away from lysogeny in the initial infection. Overall, our findings indicate that temperate phages can act as adjuvants to antibiotics in clinically relevant pathogens, even in the presence of antibiotic resistance, thereby drastically expanding their therapeutic potential.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Lytic bacteriophages facilitate antibiotic sensitization of Enterococcus faecium 96%
- Transcriptomics reveals how minocycline-colistin synergy overcomes antibiotic resistance in multidrug-resistant Klebsiella pneumoniae 95%
- A genome-scale antibiotic screen in Serratia marcescens identifies YdgH as a conserved modifier of cephalosporin and detergent susceptibility 94%
Similar papers in this journal
- Toxin/Antitoxin Systems Induce Persistence and Work in Concert with Restriction/Modification Systems to Inhibit Phage 96%
- Phenotypic Heterogeneity Shapes Phage Resistance and Cocktail Efficacy in Klebsiella pneumoniae 96%
- Genetic determinants of intrinsic antibiotic tolerance in Mycobacterium avium 95%
Similar papers in this journal
- Functional diversity increases the efficacy of phage combinations 93%
- The Staphylococcus aureus LXG-domain toxins EsxX and SAR0287 do not promote virulence in a zebrafish larval infection model 93%
- Extensive Hidden Prophage Diversity in Enterobacter Species Reveals Host Specificity and Local Distribution 92%
Similar papers in this journal
- Species-scale genomic analysis of S. aureus genes influencing phage host range and their relationships to virulence and antibiotic resistance genes 95%
- Mycobacterium phage Butters-encoded proteins contribute to host defense against viral attack 94%
- Multiple T6SSs, mobile auxiliary modules, and effectors revealed in a systematic analysis of the Vibrio parahaemolyticus pan-genome 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.