Literature DB >> 25721227

Fitness trade-offs explain low levels of persister cells in the opportunistic pathogen Pseudomonas aeruginosa.

Kristine Stepanyan1, Tom Wenseleers, Edgar A Duéñez-Guzmán, Frédéric Muratori, Bram Van den Bergh, Natalie Verstraeten, Luc De Meester, Kevin J Verstrepen, Maarten Fauvart, Jan Michiels.   

Abstract

Microbial populations often contain a fraction of slow-growing persister cells that withstand antibiotics and other stress factors. Current theoretical models predict that persistence levels should reflect a stable state in which the survival advantage of persisters under adverse conditions is balanced with the direct growth cost impaired under favourable growth conditions, caused by the nonreplication of persister cells. Based on this direct growth cost alone, however, it remains challenging to explain the observed low levels of persistence (<<1%) seen in the populations of many species. Here, we present data from the opportunistic human pathogen Pseudomonas aeruginosa that can explain this discrepancy by revealing various previously unknown costs of persistence. In particular, we show that in the absence of antibiotic stress, increased persistence is traded off against a lengthened lag phase as well as a reduced survival ability during stationary phase. We argue that these pleiotropic costs contribute to the very low proportions of persister cells observed among natural P. aeruginosa isolates (3 × 10(-8) -3 × 10(-4)) and that they can explain why strains with higher proportions of persister cells lose out very quickly in competition assays under favourable growth conditions, despite a negligible difference in maximal growth rate. We discuss how incorporating these trade-offs could lead to models that can better explain the evolution of persistence in nature and facilitate the rational design of alternative therapeutic strategies for treating infectious diseases.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  Pseudomonas aeruginosa; evolutionarily stable strategy; persistence; pleiotropy

Mesh:

Substances:

Year:  2015        PMID: 25721227     DOI: 10.1111/mec.13127

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  12 in total

1.  Frequency of antibiotic application drives rapid evolutionary adaptation of Escherichia coli persistence.

Authors:  Bram Van den Bergh; Joran E Michiels; Tom Wenseleers; Etthel M Windels; Pieterjan Vanden Boer; Donaat Kestemont; Luc De Meester; Kevin J Verstrepen; Natalie Verstraeten; Maarten Fauvart; Jan Michiels
Journal:  Nat Microbiol       Date:  2016-03-07       Impact factor: 17.745

Review 2.  Desperate times call for desperate measures: benefits and costs of toxin-antitoxin systems.

Authors:  Rita Hõrak; Hedvig Tamman
Journal:  Curr Genet       Date:  2016-06-08       Impact factor: 3.886

3.  Adaptive tuning of mutation rates allows fast response to lethal stress in Escherichia coli.

Authors:  Toon Swings; Bram Van den Bergh; Sander Wuyts; Eline Oeyen; Karin Voordeckers; Kevin J Verstrepen; Maarten Fauvart; Natalie Verstraeten; Jan Michiels
Journal:  Elife       Date:  2017-05-02       Impact factor: 8.140

4.  Studying Bacterial Persistence: Established Methods and Current Advances.

Authors:  Elen Louwagie; Laure Verstraete; Jan Michiels; Natalie Verstraeten
Journal:  Methods Mol Biol       Date:  2021

5.  Evolution of Bacterial Persistence to Antibiotics during a 50,000-Generation Experiment in an Antibiotic-Free Environment.

Authors:  Hugo Mathé-Hubert; Rafika Amia; Mikaël Martin; Joël Gaffé; Dominique Schneider
Journal:  Antibiotics (Basel)       Date:  2022-03-27

6.  (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

Review 7.  Individuality, phenotypic differentiation, dormancy and 'persistence' in culturable bacterial systems: commonalities shared by environmental, laboratory, and clinical microbiology.

Authors:  Douglas Kell; Marnie Potgieter; Etheresia Pretorius
Journal:  F1000Res       Date:  2015-07-01

Review 8.  A Dormant Microbial Component in the Development of Preeclampsia.

Authors:  Douglas B Kell; Louise C Kenny
Journal:  Front Med (Lausanne)       Date:  2016-11-29

9.  Bacterial persisters in long-term infection: Emergence and fitness in a complex host environment.

Authors:  Jennifer A Bartell; David R Cameron; Biljana Mojsoska; Janus Anders Juul Haagensen; Tacjana Pressler; Lea M Sommer; Kim Lewis; Søren Molin; Helle Krogh Johansen
Journal:  PLoS Pathog       Date:  2020-12-14       Impact factor: 6.823

10.  Persistence and resistance as complementary bacterial adaptations to antibiotics.

Authors:  T Vogwill; A C Comfort; V Furió; R C MacLean
Journal:  J Evol Biol       Date:  2016-04-06       Impact factor: 2.411

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