Literature DB >> 28428424

Biased partitioning of the multidrug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity.

Tobias Bergmiller1, Anna M C Andersson1, Kathrin Tomasek1, Enrique Balleza2, Daniel J Kiviet3, Robert Hauschild1, Gašper Tkačik1, Călin C Guet4.   

Abstract

The molecular mechanisms underlying phenotypic variation in isogenic bacterial populations remain poorly understood. We report that AcrAB-TolC, the main multidrug efflux pump of Escherichia coli, exhibits a strong partitioning bias for old cell poles by a segregation mechanism that is mediated by ternary AcrAB-TolC complex formation. Mother cells inheriting old poles are phenotypically distinct and display increased drug efflux activity relative to daughters. Consequently, we find systematic and long-lived growth differences between mother and daughter cells in the presence of subinhibitory drug concentrations. A simple model for biased partitioning predicts a population structure of long-lived and highly heterogeneous phenotypes. This straightforward mechanism of generating sustained growth rate differences at subinhibitory antibiotic concentrations has implications for understanding the emergence of multidrug resistance in bacteria.
Copyright © 2017, American Association for the Advancement of Science.

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Year:  2017        PMID: 28428424     DOI: 10.1126/science.aaf4762

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  71 in total

1.  Isolating live cells after high-throughput, long-term, time-lapse microscopy.

Authors:  Scott Luro; Laurent Potvin-Trottier; Burak Okumus; Johan Paulsson
Journal:  Nat Methods       Date:  2019-11-25       Impact factor: 28.547

2.  Heterogeneity in efflux pump expression predisposes antibiotic-resistant cells to mutation.

Authors:  Imane El Meouche; Mary J Dunlop
Journal:  Science       Date:  2018-11-09       Impact factor: 47.728

3.  Growing from a few cells: combined effects of initial stochasticity and cell-to-cell variability.

Authors:  A Barizien; M S Suryateja Jammalamadaka; G Amselem; Charles N Baroud
Journal:  J R Soc Interface       Date:  2019-04-26       Impact factor: 4.118

4.  Real-time dynamics of mutagenesis reveal the chronology of DNA repair and damage tolerance responses in single cells.

Authors:  Stephan Uphoff
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-25       Impact factor: 11.205

5.  Gene amplification as a form of population-level gene expression regulation.

Authors:  I Tomanek; R Grah; M Lagator; A M C Andersson; J P Bollback; G Tkačik; C C Guet
Journal:  Nat Ecol Evol       Date:  2020-03-09       Impact factor: 15.460

6.  Preexisting variation in DNA damage response predicts the fate of single mycobacteria under stress.

Authors:  Giulia Manina; Anna Griego; Lalit Kumar Singh; John D McKinney; Neeraj Dhar
Journal:  EMBO J       Date:  2019-10-04       Impact factor: 11.598

7.  Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.

Authors:  Helen K Alexander; R Craig MacLean
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

Review 8.  Microfluidics and single-cell microscopy to study stochastic processes in bacteria.

Authors:  Laurent Potvin-Trottier; Scott Luro; Johan Paulsson
Journal:  Curr Opin Microbiol       Date:  2018-02-27       Impact factor: 7.934

Review 9.  Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control.

Authors:  Nadia Maria Vieira Sampaio; Mary J Dunlop
Journal:  Curr Opin Microbiol       Date:  2020-09-09       Impact factor: 7.934

Review 10.  Cell-cell recognition and social networking in bacteria.

Authors:  Vera Troselj; Pengbo Cao; Daniel Wall
Journal:  Environ Microbiol       Date:  2017-12-14       Impact factor: 5.491

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