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mSystems. 2019 Oct 1;4(5). pii: e00221-19. doi: 10.1128/mSystems.00221-19.

Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses.

Author information

1
Department of Mathematics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA smc567@illinois.edu.
2
Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
3
Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
4
Department of Mathematics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
5
Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

Abstract

Most bacteria and archaea are infected by latent viruses that change their physiology and responses to environmental stress. We use a population model of the bacterium-phage relationship to examine the role that latent phage play in the bacterial population over time in response to antibiotic treatment. We demonstrate that the stress induced by antibiotic administration, even if bacteria are resistant to killing by antibiotics, is sufficient to control the infection under certain conditions. This work expands the breadth of understanding of phage-antibiotic synergy to include both temperate and chronic viruses persisting in their latent form in bacterial populations.IMPORTANCE Antibiotic resistance is a growing concern for management of common bacterial infections. Here, we show that antibiotics can be effective at subinhibitory levels when bacteria carry latent phage. Our findings suggest that specific treatment strategies based on the identification of latent viruses in individual bacterial strains may be an effective personalized medicine approach to antibiotic stewardship.

KEYWORDS:

Pseudomonas aeruginosa ; antibiotic resistance; bacteria; bacteriophage; chronic; cystic fibrosis; latent; latent infection; lysogenic; lytic; mathematical model; mathematical modeling; phage; population dynamics; resistance; temperate

PMID:
31575664
DOI:
10.1128/mSystems.00221-19
Free PMC Article

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