Literature DB >> 20435730

The frequency of persisters in Escherichia coli reflects the kinetics of awakening from dormancy.

Arvi Jõers1, Niilo Kaldalu, Tanel Tenson.   

Abstract

A genetically homogenous bacterial population may contain physiologically distinct subpopulations. In one such case, a minor part of an otherwise antibiotic-sensitive bacterial population maintains a nondividing state even in a growth-supporting environment and is therefore not killed by bactericidal antibiotics. This phenomenon, called persistence, can lead to failure of antibiotic treatment. We followed the development of sensitivity to killing by ampicillin and norfloxacin when Escherichia coli cells were transferred from a stationary-phase culture into fresh growth medium. In parallel, we monitored growth resumption by individual bacteria. We found that bacteria in a population resumed growth and became sensitive to antibiotics at different times after transfer to fresh medium. Moreover, both growing and dormant bacteria coexisted in the same culture for many hours. The kinetics of awakening was strongly influenced by growth conditions: inocula taken from the same stationary-phase culture led to very different persister frequencies when they were transferred into different fresh media. Bactericidal antibiotics kill cells that have woken up, but the later-awakening subpopulation is tolerant to them and can be identified as persisters when the antibiotic is removed. Our observations demonstrate that persister count is a dynamic measure and that the persister frequency of a particular culture is not a fixed value.

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Year:  2010        PMID: 20435730      PMCID: PMC2897658          DOI: 10.1128/JB.00056-10

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  33 in total

1.  Stochastic gene expression in fluctuating environments.

Authors:  Mukund Thattai; Alexander van Oudenaarden
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

2.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

3.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

4.  PhoU is a persistence switch involved in persister formation and tolerance to multiple antibiotics and stresses in Escherichia coli.

Authors:  Yongfang Li; Ying Zhang
Journal:  Antimicrob Agents Chemother       Date:  2007-04-09       Impact factor: 5.191

5.  Microbial awakenings.

Authors:  Slava S Epstein
Journal:  Nature       Date:  2009-02-26       Impact factor: 49.962

6.  The complete genome sequence of Escherichia coli K-12.

Authors:  F R Blattner; G Plunkett; C A Bloch; N T Perna; V Burland; M Riley; J Collado-Vides; J D Glasner; C K Rode; G F Mayhew; J Gregor; N W Davis; H A Kirkpatrick; M A Goeden; D J Rose; B Mau; Y Shao
Journal:  Science       Date:  1997-09-05       Impact factor: 47.728

7.  Differential oxidative damage and expression of stress defence regulons in culturable and non-culturable Escherichia coli cells.

Authors:  Benoît Desnues; Caroline Cuny; Gérald Grégori; Sam Dukan; Hugo Aguilaniu; Thomas Nyström
Journal:  EMBO Rep       Date:  2003-04       Impact factor: 8.807

8.  Persister cells and tolerance to antimicrobials.

Authors:  Iris Keren; Niilo Kaldalu; Amy Spoering; Yipeng Wang; Kim Lewis
Journal:  FEMS Microbiol Lett       Date:  2004-01-15       Impact factor: 2.742

9.  Role of global regulators and nucleotide metabolism in antibiotic tolerance in Escherichia coli.

Authors:  Sonja Hansen; Kim Lewis; Marin Vulić
Journal:  Antimicrob Agents Chemother       Date:  2008-06-02       Impact factor: 5.191

10.  Energy production genes sucB and ubiF are involved in persister survival and tolerance to multiple antibiotics and stresses in Escherichia coli.

Authors:  Chao Ma; Shuzhen Sim; Wanliang Shi; Lijun Du; Dongming Xing; Ying Zhang
Journal:  FEMS Microbiol Lett       Date:  2009-11-17       Impact factor: 2.742

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  62 in total

1.  Microbial scout hypothesis, stochastic exit from dormancy, and the nature of slow growers.

Authors:  S Buerger; A Spoering; E Gavrish; C Leslin; L Ling; S S Epstein
Journal:  Appl Environ Microbiol       Date:  2012-02-24       Impact factor: 4.792

Review 2.  Bacterial persister cell formation and dormancy.

Authors:  Thomas K Wood; Stephen J Knabel; Brian W Kwan
Journal:  Appl Environ Microbiol       Date:  2013-09-13       Impact factor: 4.792

3.  Age of inoculum strongly influences persister frequency and can mask effects of mutations implicated in altered persistence.

Authors:  Hannes Luidalepp; Arvi Jõers; Niilo Kaldalu; Tanel Tenson
Journal:  J Bacteriol       Date:  2011-05-20       Impact factor: 3.490

4.  Phenotypic heterogeneity enables uropathogenic Escherichia coli to evade killing by antibiotics and serum complement.

Authors:  Marta Putrinš; Karin Kogermann; Eliisa Lukk; Markus Lippus; Vallo Varik; Tanel Tenson
Journal:  Infect Immun       Date:  2015-01-05       Impact factor: 3.441

Review 5.  Bacterial persistence: Fundamentals and clinical importance.

Authors:  Sung-Hee Jung; Choong-Min Ryu; Jun-Seob Kim
Journal:  J Microbiol       Date:  2019-08-28       Impact factor: 3.422

6.  Dormancy is not necessary or sufficient for bacterial persistence.

Authors:  Mehmet A Orman; Mark P Brynildsen
Journal:  Antimicrob Agents Chemother       Date:  2013-04-29       Impact factor: 5.191

Review 7.  Distinguishing between resistance, tolerance and persistence to antibiotic treatment.

Authors:  Asher Brauner; Ofer Fridman; Orit Gefen; Nathalie Q Balaban
Journal:  Nat Rev Microbiol       Date:  2016-04       Impact factor: 60.633

8.  Phenotypic Diversity Using Bimodal and Unimodal Expression of Stress Response Proteins.

Authors:  Javier Garcia-Bernardo; Mary J Dunlop
Journal:  Biophys J       Date:  2016-05-24       Impact factor: 4.033

9.  Analyzing Persister Physiology with Fluorescence-Activated Cell Sorting.

Authors:  Mehmet A Orman; Theresa C Henry; Christina J DeCoste; Mark P Brynildsen
Journal:  Methods Mol Biol       Date:  2016

10.  Pharmacokinetic-pharmacodynamic model for gentamicin and its adaptive resistance with predictions of dosing schedules in newborn infants.

Authors:  Ami F Mohamed; Elisabet I Nielsen; Otto Cars; Lena E Friberg
Journal:  Antimicrob Agents Chemother       Date:  2011-10-28       Impact factor: 5.191

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