Molecular mechanisms of multiple toxin-antitoxin systems are coordinated to govern the persister phenotype

Rick A. Fasani, Michael A. Savageau

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

Toxin-antitoxin systems are ubiquitous and have been implicated in persistence, the multidrug tolerance of bacteria, bio films, and, by extension, most chronic infections. However, their purpose, apparent redundancy, and coordination remain topics of debate. Our model relates molecular mechanisms to population dynamics for a large class of toxin-antitoxin systems and suggests answers to several of the open questions. The generic architecture of toxin-antitoxin systems provides the potential for bistability, and even when the systems do not exhibit bistability alone, they can be coupled to create a strongly bistable, hysteretic switch between normal and toxic states. Stochastic fluctuations can spontaneously switch the system to the toxic state, creating a heterogeneous population of growing and nongrowing cells, or persisters, that exist under normal conditions, rather than as an induced response. Multiple toxin-antitoxin systems can be cooperatively marshaled for greater effect, with the dilution determined by growth rate serving as the coordinating signal. The model predicts and elucidates experimental results that show a characteristic correlation between persister frequency and the number of toxin-antitoxin systems.

Original languageEnglish (US)
JournalProceedings of the National Academy of Sciences of the United States of America
Volume110
Issue number27
DOIs
StatePublished - Jul 2 2013

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Antitoxins
Phenotype
Poisons
Molecular Models
Population Dynamics
Bacteria
Growth
Infection
Population

ASJC Scopus subject areas

  • General

Cite this

Molecular mechanisms of multiple toxin-antitoxin systems are coordinated to govern the persister phenotype. / Fasani, Rick A.; Savageau, Michael A.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 110, No. 27, 02.07.2013.

Research output: Contribution to journalArticle

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