Literature DB >> 9192894

Evolution of high mutation rates in experimental populations of E. coli.

P D Sniegowski1, P J Gerrish, R E Lenski.   

Abstract

Most mutations are likely to be deleterious, and so the spontaneous mutation rate is generally held at a very low value. Nonetheless, evolutionary theory predicts that high mutation rates can evolve under certain circumstances. Empirical observations have previously been limited to short-term studies of the fates of mutator strains deliberately introduced into laboratory populations of Escherichia coli, and to the effects of intense selective events on mutator frequencies in E. coli. Here we report the rise of spontaneously originated mutators in populations of E. coli undergoing long-term adaptation to a new environment. Our results corroborate computer simulations of mutator evolution in adapting clonal populations, and may help to explain observations that associate high mutation rates with emerging pathogens and with certain cancers.

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Year:  1997        PMID: 9192894     DOI: 10.1038/42701

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  333 in total

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3.  A phylogenomic study of DNA repair genes, proteins, and processes.

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Review 4.  Mechanisms of stationary phase mutation: a decade of adaptive mutation.

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Review 5.  Bacteria are different: observations, interpretations, speculations, and opinions about the mechanisms of adaptive evolution in prokaryotes.

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6.  Mild environmental stress elicits mutations affecting fitness in Chlamydomonas.

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7.  Use of single-strand conformation polymorphism analysis to examine the variability of the rpoS sequence in environmental isolates of Salmonellae.

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8.  Evolution of microbial diversity during prolonged starvation.

Authors:  S E Finkel; R Kolter
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

9.  Genomic evolution during a 10,000-generation experiment with bacteria.

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Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

Review 10.  Adaptive mutation: implications for evolution.

Authors:  P L Foster
Journal:  Bioessays       Date:  2000-12       Impact factor: 4.345

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