Literature DB >> 17975070

Senescence can explain microbial persistence.

I Klapper1,2, P Gilbert3, B P Ayati4, J Dockery1,2, P S Stewart5,1.   

Abstract

It has been known for many years that small fractions of persister cells resist killing in many bacterial colony-antimicrobial confrontations. These persisters are not believed to be mutants. Rather it has been hypothesized that they are phenotypic variants. Current models allow cells to switch in and out of the persister phenotype. Here, a different explanation is suggested for persistence, namely senescence. Using a mathematical model including age structure, it is shown that senescence provides a natural explanation for persistence-related phenomena, including the observations that the persister fraction depends on growth phase in batch culture and dilution rate in continuous culture.

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Year:  2007        PMID: 17975070     DOI: 10.1099/mic.0.2007/006734-0

Source DB:  PubMed          Journal:  Microbiology (Reading)        ISSN: 1350-0872            Impact factor:   2.777


  19 in total

1.  Optimal control strategies for disinfection of bacterial populations with persister and susceptible dynamics.

Authors:  N G Cogan; Jason Brown; Kyle Darres; Katherine Petty
Journal:  Antimicrob Agents Chemother       Date:  2012-07-02       Impact factor: 5.191

2.  Failure of antibiotic treatment in microbial populations.

Authors:  Patrick De Leenheer; N G Cogan
Journal:  J Math Biol       Date:  2008-12-16       Impact factor: 2.259

3.  Senescence and antibiotic resistance in an age-structured population model.

Authors:  Patrick De Leenheer; Jack Dockery; Tomás Gedeon; Sergei S Pilyugin
Journal:  J Math Biol       Date:  2009-11-12       Impact factor: 2.259

4.  Modeling and simulation of the effects of cyclic loading on articular cartilage lesion formation.

Authors:  Xiayi Wang; Bruce P Ayati; Marc J Brouillete; Jason M Graham; Prem S Ramakrishnan; James A Martin
Journal:  Int J Numer Method Biomed Eng       Date:  2014-04-21       Impact factor: 2.747

Review 5.  Continuum and discrete approach in modeling biofilm development and structure: a review.

Authors:  M R Mattei; L Frunzo; B D'Acunto; Y Pechaud; F Pirozzi; G Esposito
Journal:  J Math Biol       Date:  2017-07-24       Impact factor: 2.259

6.  Survival of bactericidal antibiotic treatment by a persister subpopulation of Listeria monocytogenes.

Authors:  Gitte M Knudsen; Yin Ng; Lone Gram
Journal:  Appl Environ Microbiol       Date:  2013-09-20       Impact factor: 4.792

7.  Bacterial persistence and bet hedging in Sinorhizobium meliloti.

Authors:  William C Ratcliff; R Ford Denison
Journal:  Commun Integr Biol       Date:  2011-01

8.  Mathematics as a conduit for translational research in post-traumatic osteoarthritis.

Authors:  Bruce P Ayati; Georgi I Kapitanov; Mitchell C Coleman; Donald D Anderson; James A Martin
Journal:  J Orthop Res       Date:  2016-10-03       Impact factor: 3.494

Review 9.  Signals of growth regulation in bacteria.

Authors:  Christopher S Hayes; David A Low
Journal:  Curr Opin Microbiol       Date:  2009-10-23       Impact factor: 7.934

10.  (p)ppGpp-Dependent Persisters Increase the Fitness of Escherichia coli Bacteria Deficient in Isoaspartyl Protein Repair.

Authors:  Kelsey E VandenBerg; Sarah Ahn; Jonathan E Visick
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

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