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

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 antibiot...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sara M. Clifton, Ted Kim, Jayadevi H. Chandrashekhar, George A. O’Toole, Zoi Rapti, Rachel J. Whitaker
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2019
Materias:	bacteria bacteriophage temperate phage chronic latent Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/9ef4c32ea5bb458dbe5f20361c71873b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9ef4c32ea5bb458dbe5f20361c71873b
record_format	dspace
spelling	oai:doaj.org-article:9ef4c32ea5bb458dbe5f20361c71873b2021-12-02T18:15:44ZLying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses10.1128/mSystems.00221-192379-5077https://doaj.org/article/9ef4c32ea5bb458dbe5f20361c71873b2019-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00221-19https://doaj.org/toc/2379-5077ABSTRACT 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.Sara M. CliftonTed KimJayadevi H. ChandrashekharGeorge A. O’TooleZoi RaptiRachel J. WhitakerAmerican Society for MicrobiologyarticlebacteriabacteriophagetemperatephagechroniclatentMicrobiologyQR1-502ENmSystems, Vol 4, Iss 5 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	bacteria bacteriophage temperate phage chronic latent Microbiology QR1-502
spellingShingle	bacteria bacteriophage temperate phage chronic latent Microbiology QR1-502 Sara M. Clifton Ted Kim Jayadevi H. Chandrashekhar George A. O’Toole Zoi Rapti Rachel J. Whitaker Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
description	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.
format	article
author	Sara M. Clifton Ted Kim Jayadevi H. Chandrashekhar George A. O’Toole Zoi Rapti Rachel J. Whitaker
author_facet	Sara M. Clifton Ted Kim Jayadevi H. Chandrashekhar George A. O’Toole Zoi Rapti Rachel J. Whitaker
author_sort	Sara M. Clifton
title	Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_short	Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_full	Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_fullStr	Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_full_unstemmed	Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses
title_sort	lying in wait: modeling the control of bacterial infections via antibiotic-induced proviruses
publisher	American Society for Microbiology
publishDate	2019
url	https://doaj.org/article/9ef4c32ea5bb458dbe5f20361c71873b
work_keys_str_mv	AT saramclifton lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses AT tedkim lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses AT jayadevihchandrashekhar lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses AT georgeaotoole lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses AT zoirapti lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses AT racheljwhitaker lyinginwaitmodelingthecontrolofbacterialinfectionsviaantibioticinducedproviruses
_version_	1718378348028100608

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

Ejemplares similares