lying in wait: modeling the control of bacterial infections via antibiotic-induced proviruses

Clicks: 492
ID: 163488
2019
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Abstract
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.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.
Reference Key
clifton2019msystemslying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sara M. Clifton;Ted Kim;Jayadevi H. Chandrashekhar;George A. O’Toole;Zoi Rapti;Rachel J. Whitaker
Journal development and psychopathology
Year 2019
DOI
10.1128/mSystems.00221-19
URL
https://doi.org/10.1128/mSystems.00221-19
Keywords
resistance bacteria Pseudomonas aeruginosa antibiotic resistance mathematical model population dynamics cystic fibrosis chronic bacteriophage temperate

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