Literature DB >> 10757748

Compensatory mutations, antibiotic resistance and the population genetics of adaptive evolution in bacteria.

B R Levin1, V Perrot, N Walker.   

Abstract

In the absence of the selecting drugs, chromosomal mutations for resistance to antibiotics and other chemotheraputic agents commonly engender a cost in the fitness of microorganisms. Recent in vivo and in vitro experimental studies of the adaptation to these "costs of resistance" in Escherichia coli, HIV, and Salmonella typhimurium found that evolution in the absence of these drugs commonly results in the ascent of mutations that ameliorate these costs, rather than higher-fitness, drug-sensitive revertants. To ascertain the conditions under which this compensatory evolution, rather than reversion, will occur, we did computer simulations, in vitro experiments, and DNA sequencing studies with low-fitness rpsL (streptomycin-resistant) mutants of E. coli with and without mutations that compensate for the fitness costs of these ribosomal protein mutations. The results of our investigation support the hypothesis that in these experiments, the ascent of intermediate-fitness compensatory mutants, rather than high-fitness revertants, can be attributed to higher rates of compensatory mutations relative to that of reversion and to the numerical bottlenecks associated with serial passage. We argue that these bottlenecks are intrinsic to the population dynamics of parasitic and commensal microbes and discuss the implications of these results to the problem of drug resistance and adaptive evolution in parasitic and commmensal microorganisms in general.

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Year:  2000        PMID: 10757748      PMCID: PMC1460977     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  21 in total

1.  Transmission bottlenecks as determinants of virulence in rapidly evolving pathogens.

Authors:  C T Bergstrom; P McElhany; L A Real
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-27       Impact factor: 11.205

2.  Evolution by small steps and rugged landscapes in the RNA virus phi6.

Authors:  C L Burch; L Chao
Journal:  Genetics       Date:  1999-03       Impact factor: 4.562

3.  Fluctuation analysis: the probability distribution of the number of mutants under different conditions.

Authors:  F M Stewart; D M Gordon; B R Levin
Journal:  Genetics       Date:  1990-01       Impact factor: 4.562

4.  The population genetics of antibiotic resistance. II: Analytic theory for sustained populations of bacteria in a community of hosts.

Authors:  F M Stewart; R Antia; B R Levin; M Lipsitch; J E Mittler
Journal:  Theor Popul Biol       Date:  1998-04       Impact factor: 1.570

5.  A ribosomal ambiguity mutation.

Authors:  R Rosset; L Gorini
Journal:  J Mol Biol       Date:  1969-01-14       Impact factor: 5.469

6.  Reducing antibiotic resistance.

Authors:  S J Schrag; V Perrot
Journal:  Nature       Date:  1996-05-09       Impact factor: 49.962

7.  Evolution of a bacteria/plasmid association.

Authors:  J E Bouma; R E Lenski
Journal:  Nature       Date:  1988-09-22       Impact factor: 49.962

8.  Kinetic properties of Escherichia coli ribosomes with altered forms of S12.

Authors:  N Bilgin; F Claesens; H Pahverk; M Ehrenberg
Journal:  J Mol Biol       Date:  1992-04-20       Impact factor: 5.469

9.  The transmission dynamics of antibiotic-resistant bacteria: the relationship between resistance in commensal organisms and antibiotic consumption.

Authors:  D J Austin; M Kakehashi; R M Anderson
Journal:  Proc Biol Sci       Date:  1997-11-22       Impact factor: 5.349

10.  Role of ribosomal protein S12 in peptide chain elongation: analysis of pleiotropic, streptomycin-resistant mutants of Escherichia coli.

Authors:  J M Zengel; R Young; P P Dennis; M Nomura
Journal:  J Bacteriol       Date:  1977-03       Impact factor: 3.490

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  208 in total

1.  Divergence in fitness and evolution of drug resistance in experimental populations of Candida albicans.

Authors:  L E Cowen; L M Kohn; J B Anderson
Journal:  J Bacteriol       Date:  2001-05       Impact factor: 3.490

Review 2.  Bacteria are different: observations, interpretations, speculations, and opinions about the mechanisms of adaptive evolution in prokaryotes.

Authors:  B R Levin; C T Bergstrom
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

3.  Are rare variants responsible for susceptibility to complex diseases?

Authors:  J K Pritchard
Journal:  Am J Hum Genet       Date:  2001-06-12       Impact factor: 11.025

4.  Mutations in the P. falciparum digestive vacuole transmembrane protein PfCRT and evidence for their role in chloroquine resistance.

Authors:  D A Fidock; T Nomura; A K Talley; R A Cooper; S M Dzekunov; M T Ferdig; L M Ursos; A B Sidhu; B Naudé; K W Deitsch; X Z Su; J C Wootton; P D Roepe; T E Wellems
Journal:  Mol Cell       Date:  2000-10       Impact factor: 17.970

5.  Evolution of resistance during clonal expansion.

Authors:  Yoh Iwasa; Martin A Nowak; Franziska Michor
Journal:  Genetics       Date:  2006-04       Impact factor: 4.562

6.  Evaluating the impact of population bottlenecks in experimental evolution.

Authors:  Lindi M Wahl; Philip J Gerrish; Ivan Saika-Voivod
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

7.  The influence of cellular physiology on the initiation of mutational pathways in Escherichia coli populations.

Authors:  Lucinda Notley-McRobb; Shona Seeto; Thomas Ferenci
Journal:  Proc Biol Sci       Date:  2003-04-22       Impact factor: 5.349

8.  Evolutionary dynamics of escape from biomedical intervention.

Authors:  Yoh Iwasa; Franziska Michor; Martin A Nowak
Journal:  Proc Biol Sci       Date:  2003-12-22       Impact factor: 5.349

9.  Genetics of mefloquine resistance in the rodent malaria parasite Plasmodium chabaudi.

Authors:  Pedro V L Cravo; Jane M-R Carlton; Paul Hunt; Laura Bisoni; Rose Ann Padua; David Walliker
Journal:  Antimicrob Agents Chemother       Date:  2003-02       Impact factor: 5.191

Review 10.  Interactions among strategies associated with bacterial infection: pathogenicity, epidemicity, and antibiotic resistance.

Authors:  José L Martínez; Fernando Baquero
Journal:  Clin Microbiol Rev       Date:  2002-10       Impact factor: 26.132

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