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

D Papadopoulos1, D Schneider, J Meier-Eiss

  • 1Abteilung Mikrobiologie, Biozentrum, CH-4056 Basel, Switzerland.

Proceedings of the National Academy of Sciences of the United States of America
|March 31, 1999
PubMed
Summary
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Genomic evolution in Escherichia coli showed rapid change and high diversity over 10,000 generations. This study reveals a dynamic genome, even in short evolutionary timescales, with discordant rates of change.

Area of Science:

  • Evolutionary Biology
  • Genomics
  • Microbiology

Background:

  • Molecular methods are crucial for studying genetic diversity and species relationships.
  • Observing genomic evolution in real-time is challenging due to slow evolutionary rates in most organisms.

Purpose of the Study:

  • To investigate genomic evolution dynamics in a controlled laboratory setting.
  • To analyze genome-wide changes and diversity accumulation over an extended experimental period.

Main Methods:

  • Utilized laboratory-evolved populations of Escherichia coli over 10,000 generations.
  • Employed restriction fragment length polymorphism (RFLP) analysis with seven insertion sequences (IS) as probes.
  • Focused on detecting genomic rearrangements, including transpositions, rather than point mutations.

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Main Results:

  • Evolving genomes diverged significantly from the ancestral strain over time.
  • High genetic diversity accumulated within populations, with unique genetic fingerprints in most individuals.
  • Observed discordant rates of phenotypic and genomic change across replicate populations and over time.
  • Identified shared pivotal mutations across descendants, suggesting potential beneficial mutations.

Conclusions:

  • The bacterial genome is highly dynamic, even over relatively short evolutionary timescales.
  • Experimental evolution in Escherichia coli provides a powerful model for studying rapid genomic change.
  • Genomic and phenotypic evolution rates can be decoupled, offering insights into evolutionary processes.