Literature DB >> 18681913

The rate of environmental change drives adaptation to an antibiotic sink.

G G Perron1, A Gonzalez, A Buckling.   

Abstract

Recent accelerated trends of human-induced global changes are providing many examples of adaptation to novel environments. Although the rate of environmental change can vary dramatically, its effect on evolving populations is unknown. A crucial feature explaining the adaptation to harsh environments is the supply of beneficial mutations via immigration from a 'source' population. In this study, we tested the effect of immigration on adaptation to increasing concentrations of antibiotics. Using experimental population of Pseudomonas aeruginosa, a pathogenic bacterium, we show that higher immigration rates and a slow increase in antibiotic concentration result in a more rapid evolution of resistance; however, a high immigration rate combined with rapid increases in concentration resulted in higher maximal levels of resistance. These findings, which support recent theoretical work, have important implications for the control of antibiotic resistance because they show that rapid rates of change can produce variants with the ability to resist future treatments.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18681913     DOI: 10.1111/j.1420-9101.2008.01596.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  32 in total

1.  Multidrug therapy and evolution of antibiotic resistance: when order matters.

Authors:  Gabriel G Perron; Sergey Kryazhimskiy; Daniel P Rice; Angus Buckling
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

Review 2.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

3.  Rate of novel host invasion affects adaptability of evolving RNA virus lineages.

Authors:  Valerie J Morley; Sandra Y Mendiola; Paul E Turner
Journal:  Proc Biol Sci       Date:  2015-08-22       Impact factor: 5.349

4.  The genetic basis of phenotypic adaptation I: fixation of beneficial mutations in the moving optimum model.

Authors:  Michael Kopp; Joachim Hermisson
Journal:  Genetics       Date:  2009-03-02       Impact factor: 4.562

5.  The genetic basis of phenotypic adaptation II: the distribution of adaptive substitutions in the moving optimum model.

Authors:  Michael Kopp; Joachim Hermisson
Journal:  Genetics       Date:  2009-10-05       Impact factor: 4.562

6.  Bacterial adaptation to sublethal antibiotic gradients can change the ecological properties of multitrophic microbial communities.

Authors:  Ville-Petri Friman; Laura Melissa Guzman; Daniel C Reuman; Thomas Bell
Journal:  Proc Biol Sci       Date:  2015-05-07       Impact factor: 5.349

Review 7.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

8.  Evolutionary rescue from extinction is contingent on a lower rate of environmental change.

Authors:  Haley A Lindsey; Jenna Gallie; Susan Taylor; Benjamin Kerr
Journal:  Nature       Date:  2013-02-10       Impact factor: 49.962

9.  Local climatic adaptation in a widespread microorganism.

Authors:  Jean-Baptiste Leducq; Guillaume Charron; Pedram Samani; Alexandre K Dubé; Kayla Sylvester; Brielle James; Pedro Almeida; José Paulo Sampaio; Chris Todd Hittinger; Graham Bell; Christian R Landry
Journal:  Proc Biol Sci       Date:  2014-01-08       Impact factor: 5.349

10.  Microbial variome database: point mutations, adaptive or not, in bacterial core genomes.

Authors:  Sujay Chattopadhyay; Fred Taub; Sandip Paul; Scott J Weissman; Evgeni V Sokurenko
Journal:  Mol Biol Evol       Date:  2013-03-14       Impact factor: 16.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.