Literature DB >> 30934244

Mutation rate variability as a driving force in adaptive evolution.

Dalit Engelhardt1, Eugene I Shakhnovich1.   

Abstract

Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by selective pressure. Here we investigate the dynamics of resistance fixation in a bacterial population with variable mutation rates, and we show that evolutionary outcomes are most sensitive to mutation rate variations when the population is subject to environmental and demographic conditions that suppress the evolutionary advantage of high-fitness subpopulations. By directly mapping a biophysical fitness function to the system-level dynamics of the population, we show that both low and very high, but not intermediate, levels of stress in the form of an antibiotic result in a disproportionate effect of hypermutation on resistance fixation. We demonstrate how this behavior is directly tied to the extent of genetic hitchhiking in the system, the propagation of high-mutation rate cells through association with high-fitness mutations. Our results indicate a substantial role for mutation rate flexibility in the evolution of antibiotic resistance under conditions that present a weak advantage over wildtype to resistant cells.

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Mesh:

Year:  2019        PMID: 30934244      PMCID: PMC6819004          DOI: 10.1103/PhysRevE.99.022424

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  41 in total

Review 1.  Mutation frequencies and antibiotic resistance.

Authors:  J L Martinez; F Baquero
Journal:  Antimicrob Agents Chemother       Date:  2000-07       Impact factor: 5.191

Review 2.  The evolution of mutation rates: separating causes from consequences.

Authors:  P D Sniegowski; P J Gerrish; T Johnson; A Shaver
Journal:  Bioessays       Date:  2000-12       Impact factor: 4.345

3.  Mutators, population size, adaptive landscape and the adaptation of asexual populations of bacteria.

Authors:  O Tenaillon; B Toupance; H Le Nagard; F Taddei; B Godelle
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

4.  Observations on two types of genetic instability in Escherichia coli.

Authors:  K JYSSUM
Journal:  Acta Pathol Microbiol Scand       Date:  1960

Review 5.  Evolution of mutation rates in bacteria.

Authors:  Erick Denamur; Ivan Matic
Journal:  Mol Microbiol       Date:  2006-05       Impact factor: 3.501

Review 6.  Hypermutable bacteria isolated from humans--a critical analysis.

Authors:  Lucinda M C Hall; Stephanie K Henderson-Begg
Journal:  Microbiology       Date:  2006-09       Impact factor: 2.777

7.  Biophysical principles predict fitness landscapes of drug resistance.

Authors:  João V Rodrigues; Shimon Bershtein; Anna Li; Elena R Lozovsky; Daniel L Hartl; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

8.  Mutation dynamics and fitness effects followed in single cells.

Authors:  Lydia Robert; Jean Ollion; Jerome Robert; Xiaohu Song; Ivan Matic; Marina Elez
Journal:  Science       Date:  2018-03-16       Impact factor: 47.728

9.  Identification and characterization of the mutL and mutS gene products of Salmonella typhimurium LT2.

Authors:  P P Pang; A S Lundberg; G C Walker
Journal:  J Bacteriol       Date:  1985-09       Impact factor: 3.490

10.  Stress-induced mutagenesis: Stress diversity facilitates the persistence of mutator genes.

Authors:  Marta Lukačišinová; Sebastian Novak; Tiago Paixão
Journal:  PLoS Comput Biol       Date:  2017-07-18       Impact factor: 4.475

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  2 in total

1.  Leaf Bleaching in Rice: A New Disease in Vietnam Caused by Methylobacterium indicum, Its Genomic Characterization and the Development of a Suitable Detection Technique.

Authors:  Khoa Lai; Ngoc Thai Nguyen; Michiko Yasuda; Khondoker M G Dastogeer; Atsushi Toyoda; Koichi Higashi; Ken Kurokawa; Nga Thi Thu Nguyen; Ken Komatsu; Shin Okazaki
Journal:  Microbes Environ       Date:  2021       Impact factor: 2.912

2.  Protein Engineering in the Design of Protein-Protein Interactions: SARS-CoV-2 Inhibitors as a Test Case.

Authors:  Jiří Zahradník; Gideon Schreiber
Journal:  Biochemistry       Date:  2021-07-01       Impact factor: 3.162

  2 in total

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