Literature DB >> 25271119

Collective antibiotic resistance: mechanisms and implications.

Nicole M Vega1, Jeff Gore2.   

Abstract

In collective resistance, microbial communities are able to survive antibiotic exposures that would be lethal to individual cells. In this review, we explore recent advances in understanding collective resistance in bacteria. The population dynamics of 'cheating' in a system with cooperative antibiotic inactivation have been described, providing insight into the demographic factors that determine resistance allele frequency in bacteria. Extensive work has elucidated mechanisms underlying collective resistance in biofilms and addressed questions about the role of cooperation in these structures. Additionally, recent investigations of 'bet-hedging' strategies in bacteria have explored the contributions of stochasticity and regulation to bacterial phenotypic heterogeneity and examined the effects of these strategies on community survival.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25271119      PMCID: PMC4367450          DOI: 10.1016/j.mib.2014.09.003

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  57 in total

1.  The affect of pH and bacterial phenotypic state on antibiotic efficacy.

Authors:  John Thomas; Sara Linton; Linda Corum; Will Slone; Tyler Okel; Steven L Percival
Journal:  Int Wound J       Date:  2011-12-19       Impact factor: 3.315

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

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

Review 3.  Persistence of antibiotic resistance in bacterial populations.

Authors:  Dan I Andersson; Diarmaid Hughes
Journal:  FEMS Microbiol Rev       Date:  2011-07-29       Impact factor: 16.408

4.  Effects of biofilm growth on plasmid copy number and expression of antibiotic resistance genes in Enterococcus faecalis.

Authors:  L C Cook; G M Dunny
Journal:  Antimicrob Agents Chemother       Date:  2013-02-04       Impact factor: 5.191

Review 5.  Exploiting social evolution in biofilms.

Authors:  Kerry E Boyle; Silja Heilmann; Dave van Ditmarsch; Joao B Xavier
Journal:  Curr Opin Microbiol       Date:  2013-01-26       Impact factor: 7.934

6.  Solutions to the public goods dilemma in bacterial biofilms.

Authors:  Knut Drescher; Carey D Nadell; Howard A Stone; Ned S Wingreen; Bonnie L Bassler
Journal:  Curr Biol       Date:  2013-12-12       Impact factor: 10.834

7.  The extracellular matrix Component Psl provides fast-acting antibiotic defense in Pseudomonas aeruginosa biofilms.

Authors:  Nicole Billings; MariaRamirez Millan; Marina Caldara; Roberto Rusconi; Yekaterina Tarasova; Roman Stocker; Katharina Ribbeck
Journal:  PLoS Pathog       Date:  2013-08-08       Impact factor: 6.823

Review 8.  The role of beta-lactamase-producing-bacteria in mixed infections.

Authors:  Itzhak Brook
Journal:  BMC Infect Dis       Date:  2009-12-14       Impact factor: 3.090

9.  The inoculum effect and band-pass bacterial response to periodic antibiotic treatment.

Authors:  Cheemeng Tan; Robert Phillip Smith; Jaydeep K Srimani; Katherine A Riccione; Sameer Prasada; Meta Kuehn; Lingchong You
Journal:  Mol Syst Biol       Date:  2012       Impact factor: 11.429

10.  Evolution of stress response in the face of unreliable environmental signals.

Authors:  Markus Arnoldini; Rafal Mostowy; Sebastian Bonhoeffer; Martin Ackermann
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

View more
  52 in total

1.  Targeting Enterococcus faecalis biofilms with phage therapy.

Authors:  Leron Khalifa; Yair Brosh; Daniel Gelman; Shunit Coppenhagen-Glazer; Shaul Beyth; Ronit Poradosu-Cohen; Yok-Ai Que; Nurit Beyth; Ronen Hazan
Journal:  Appl Environ Microbiol       Date:  2015-02-06       Impact factor: 4.792

Review 2.  Regulation of antimicrobial resistance by extracytoplasmic function (ECF) sigma factors.

Authors:  Emily C Woods; Shonna M McBride
Journal:  Microbes Infect       Date:  2017-01-30       Impact factor: 2.700

3.  Dead bacterial absorption of antimicrobial peptides underlies collective tolerance.

Authors:  Fan Wu; Cheemeng Tan
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

Review 4.  Control of Biofilm Formation: Antibiotics and Beyond.

Authors:  Ammar Algburi; Nicole Comito; Dimitri Kashtanov; Leon M T Dicks; Michael L Chikindas
Journal:  Appl Environ Microbiol       Date:  2017-01-17       Impact factor: 4.792

5.  Oscillatory dynamics in a bacterial cross-protection mutualism.

Authors:  Eugene Anatoly Yurtsev; Arolyn Conwill; Jeff Gore
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-18       Impact factor: 11.205

6.  Dynamic motility selection drives population segregation in a bacterial swarm.

Authors:  Wenlong Zuo; Yilin Wu
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-14       Impact factor: 11.205

7.  Antibiotic resilience: a necessary concept to complement antibiotic resistance?

Authors:  Gabriel Carvalho; Christiane Forestier; Jean-Denis Mathias
Journal:  Proc Biol Sci       Date:  2019-12-04       Impact factor: 5.349

8.  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

9.  Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections.

Authors:  Marjon G J de Vos; Marcin Zagorski; Alan McNally; Tobias Bollenbach
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-18       Impact factor: 11.205

10.  PQS Produced by the Pseudomonas aeruginosa Stress Response Repels Swarms Away from Bacteriophage and Antibiotics.

Authors:  Jean-Louis Bru; Brandon Rawson; Calvin Trinh; Katrine Whiteson; Nina Molin Høyland-Kroghsbo; Albert Siryaporn
Journal:  J Bacteriol       Date:  2019-11-05       Impact factor: 3.490

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.