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High frequency of hotspot mutations in core genes of Escherichia coli due to short-term positive selection

  • Sujay Chattopadhyay
  • , Scott J. Weissman
  • , Vladimir N. Minin
  • , Thomas A. Russo
  • , Daniel E. Dykhuizen
  • , Evgeni V. Sokurenko
  • University of Washington
  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

Core genes comprising the ubiquitous backbone of bacterial genomes are not subject to frequent horizontal transfer and generally are not thought to contribute to the adaptive evolution of bacterial pathogens. We determined, however, that at least one-third and possibly more than one-half of the core genes in Escherichia coli genomes are targeted by repeated replacement substitutions in the same amino acid positions - hotspot mutations. Occurrence of hotspot mutations is driven by positive selection, as their rate is significantly higher than expected by random chance alone, and neither intragenic recombination nor increased mutability can explain the observed patterns. Also, commensal E. coli strains have a significantly lower frequency of mutated genes and mutations per genome than pathogenic strains. E. coli strains causing extra-intestinal infections accumulate hotspot mutations at the highest rate, whereas the highest total number of mutated genes has been found among Shigella isolates, suggesting the pathoadaptive nature of such mutations. The vast majority of hotspot mutations are of recent evolutionary origin, implying shortterm positive selection, where adaptive mutations emerge repeatedly but are not sustained in natural circulation for long. Such pattern of dynamics is consistent with source-sink model of virulence evolution.

Original languageEnglish
Pages (from-to)12412-12417
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume106
Issue number30
DOIs
StatePublished - Jul 28 2009

Keywords

  • Commensal
  • E. coli core genome
  • Extra-intestinal
  • Pathoadaptive evolution
  • Shigella

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