Literature DB >> 28250208

Evolution of mutation rates in hypermutable populations of Escherichia coli propagated at very small effective population size.

Tanya Singh1, Meredith Hyun2, Paul Sniegowski2.   

Abstract

Mutation is the ultimate source of the genetic variation-including variation for mutation rate itself-that fuels evolution. Natural selection can raise or lower the genomic mutation rate of a population by changing the frequencies of mutation rate modifier alleles associated with beneficial and deleterious mutations. Existing theory and observations suggest that where selection is minimized, rapid systematic evolution of mutation rate either up or down is unlikely. Here, we report systematic evolution of higher and lower mutation rates in replicate hypermutable Escherichia coli populations experimentally propagated at very small effective size-a circumstance under which selection is greatly reduced. Several populations went extinct during this experiment, and these populations tended to evolve elevated mutation rates. In contrast, populations that survived to the end of the experiment tended to evolve decreased mutation rates. We discuss the relevance of our results to current ideas about the evolution, maintenance and consequences of high mutation rates.
© 2017 The Author(s).

Entities:  

Keywords:  antimutators; asexual populations; evolution of mutation rates; indirect selection; mutation accumulation; mutators

Mesh:

Substances:

Year:  2017        PMID: 28250208      PMCID: PMC5377030          DOI: 10.1098/rsbl.2016.0849

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  17 in total

Review 1.  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

2.  The evolution of mutation rate in finite asexual populations.

Authors:  Jean-Baptiste André; Bernard Godelle
Journal:  Genetics       Date:  2005-09-12       Impact factor: 4.562

3.  Evolution in Mendelian Populations.

Authors:  S Wright
Journal:  Genetics       Date:  1931-03       Impact factor: 4.562

4.  Mutations of Bacteria from Virus Sensitivity to Virus Resistance.

Authors:  S E Luria; M Delbrück
Journal:  Genetics       Date:  1943-11       Impact factor: 4.562

5.  Competition between high- and higher-mutating strains of Escherichia coli.

Authors:  Christopher F Gentile; Szi-Chieh Yu; Sebastian Akle Serrano; Philip J Gerrish; Paul D Sniegowski
Journal:  Biol Lett       Date:  2011-01-12       Impact factor: 3.703

6.  Evolution of mutation rates in hypermutable populations of Escherichia coli propagated at very small effective population size.

Authors:  Tanya Singh; Meredith Hyun; Paul Sniegowski
Journal:  Biol Lett       Date:  2017-03       Impact factor: 3.703

7.  Evolution of the mutation rate.

Authors:  Michael Lynch
Journal:  Trends Genet       Date:  2010-06-30       Impact factor: 11.639

8.  PERSPECTIVE: SPONTANEOUS DELETERIOUS MUTATION.

Authors:  Michael Lynch; Jeff Blanchard; David Houle; Travis Kibota; Stewart Schultz; Larissa Vassilieva; John Willis
Journal:  Evolution       Date:  1999-06       Impact factor: 3.694

9.  Fixation probability of rare nonmutator and evolution of mutation rates.

Authors:  Ananthu James; Kavita Jain
Journal:  Ecol Evol       Date:  2016-01-11       Impact factor: 2.912

10.  Does mutation rate depend on itself.

Authors:  Charles F Baer
Journal:  PLoS Biol       Date:  2008-02       Impact factor: 8.029

View more
  3 in total

1.  Evolution of mutation rates in hypermutable populations of Escherichia coli propagated at very small effective population size.

Authors:  Tanya Singh; Meredith Hyun; Paul Sniegowski
Journal:  Biol Lett       Date:  2017-03       Impact factor: 3.703

2.  High mutation rates limit evolutionary adaptation in Escherichia coli.

Authors:  Kathleen Sprouffske; José Aguilar-Rodríguez; Paul Sniegowski; Andreas Wagner
Journal:  PLoS Genet       Date:  2018-04-27       Impact factor: 5.917

3.  Mutation bias and GC content shape antimutator invasions.

Authors:  Alejandro Couce; Olivier Tenaillon
Journal:  Nat Commun       Date:  2019-07-15       Impact factor: 14.919

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.