Literature DB >> 22200772

Following evolution of bacterial antibiotic resistance in real time.

Adam Z Rosenthal1, Michael B Elowitz.   

Abstract

A new study reports the development of the 'morbidostat', a device that allows for continuous culture of bacteria under a constant drug selection pressure using computer feedback control of antibiotic concentration. This device, together with bacterial whole-genome sequencing, allowed the authors to follow the evolution of resistance-conferring mutations in Escherichia coli populations in real time, providing support for deterministic evolution of resistance in some situations.

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Year:  2011        PMID: 22200772     DOI: 10.1038/ng.1048

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  10 in total

1.  Acceleration of emergence of bacterial antibiotic resistance in connected microenvironments.

Authors:  Qiucen Zhang; Guillaume Lambert; David Liao; Hyunsung Kim; Kristelle Robin; Chih-kuan Tung; Nader Pourmand; Robert H Austin
Journal:  Science       Date:  2011-09-23       Impact factor: 47.728

2.  Darwinian evolution can follow only very few mutational paths to fitter proteins.

Authors:  Daniel M Weinreich; Nigel F Delaney; Mark A Depristo; Daniel L Hartl
Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

3.  Microbial Selection.

Authors:  V Bryson; W Szybalski
Journal:  Science       Date:  1952-07-18       Impact factor: 47.728

4.  Genome evolution and adaptation in a long-term experiment with Escherichia coli.

Authors:  Jeffrey E Barrick; Dong Su Yu; Sung Ho Yoon; Haeyoung Jeong; Tae Kwang Oh; Dominique Schneider; Richard E Lenski; Jihyun F Kim
Journal:  Nature       Date:  2009-10-18       Impact factor: 49.962

5.  Sources and sinks: a stochastic model of evolution in heterogeneous environments.

Authors:  Rutger Hermsen; Terence Hwa
Journal:  Phys Rev Lett       Date:  2010-12-08       Impact factor: 9.161

6.  Second-order selection for evolvability in a large Escherichia coli population.

Authors:  Robert J Woods; Jeffrey E Barrick; Tim F Cooper; Utpala Shrestha; Mark R Kauth; Richard E Lenski
Journal:  Science       Date:  2011-03-18       Impact factor: 47.728

7.  Evolutionary paths to antibiotic resistance under dynamically sustained drug selection.

Authors:  Erdal Toprak; Adrian Veres; Jean-Baptiste Michel; Remy Chait; Daniel L Hartl; Roy Kishony
Journal:  Nat Genet       Date:  2011-12-18       Impact factor: 38.330

8.  Bacterial charity work leads to population-wide resistance.

Authors:  Henry H Lee; Michael N Molla; Charles R Cantor; James J Collins
Journal:  Nature       Date:  2010-09-02       Impact factor: 49.962

9.  Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes.

Authors:  Tami D Lieberman; Jean-Baptiste Michel; Mythili Aingaran; Gail Potter-Bynoe; Damien Roux; Michael R Davis; David Skurnik; Nicholas Leiby; John J LiPuma; Joanna B Goldberg; Alexander J McAdam; Gregory P Priebe; Roy Kishony
Journal:  Nat Genet       Date:  2011-11-13       Impact factor: 38.330

10.  Whole-genome sequencing of rifampicin-resistant Mycobacterium tuberculosis strains identifies compensatory mutations in RNA polymerase genes.

Authors:  Iñaki Comas; Sonia Borrell; Andreas Roetzer; Graham Rose; Bijaya Malla; Midori Kato-Maeda; James Galagan; Stefan Niemann; Sebastien Gagneux
Journal:  Nat Genet       Date:  2011-12-18       Impact factor: 38.330

  10 in total
  3 in total

1.  Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection.

Authors:  Po C Liu; Yi T Lee; Chun Y Wang; Ya-Tang Yang
Journal:  J Vis Exp       Date:  2016-09-27       Impact factor: 1.355

2.  Octapeptin C4 and polymyxin resistance occur via distinct pathways in an epidemic XDR Klebsiella pneumoniae ST258 isolate.

Authors:  Miranda E Pitt; Minh Duc Cao; Mark S Butler; Soumya Ramu; Devika Ganesamoorthy; Mark A T Blaskovich; Lachlan J M Coin; Matthew A Cooper
Journal:  J Antimicrob Chemother       Date:  2019-03-01       Impact factor: 5.790

3.  Public health evolutionary biology of antimicrobial resistance: priorities for intervention.

Authors:  Fernando Baquero; Val F Lanza; Rafael Cantón; Teresa M Coque
Journal:  Evol Appl       Date:  2014-12-11       Impact factor: 5.183

  3 in total

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