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Related Experiment Videos

Predicting mutation frequencies in stem-loop structures of derepressed genes: implications for evolution.

Barbara E Wright1, Dennis K Reschke, Karen H Schmidt

  • 1Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA. bewright@selway.umt.edu

Molecular Microbiology
|April 5, 2003
PubMed
Summary
This summary is machine-generated.

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DNA secondary structures influence mutation rates during transcription. Unpaired bases in stable stem-loop structures exhibit higher mutability, impacting genetic variation and evolution.

Area of Science:

  • Molecular Biology
  • Genetics
  • Evolutionary Biology

Background:

  • DNA secondary structures, such as stem-loop structures (SLSs), can form during transcription.
  • The stability and base-pairing status within these structures are hypothesized to influence DNA mutability.

Purpose of the Study:

  • To investigate the relationship between DNA secondary structure, base-pairing, and mutability during transcription.
  • To develop a quantitative method for predicting mutation frequencies based on structural parameters.

Main Methods:

  • Utilized Zuker's DNA folding program to predict SLSs and folding energies (-DeltaG).
  • Developed an interfacing program to calculate the percentage of unpaired bases and a mutability index (MI) for each base.
  • Compared MIs of mutable bases in derepressed genes with background mutations in non-derepressed genes (lacI and ebgR).

Related Experiment Videos

Main Results:

  • Mutability index (MI) correlates with experimentally determined mutation frequencies for most mutable bases in transcribing genes.
  • 87% of mutable bases in transcribing genes had higher MIs than the average base, compared to 50% for background mutations.
  • Mutable bases in derepressed auxotrophs were located closer to SLS stems than background mutations.

Conclusions:

  • Base mutability during transcription is dependent on DNA secondary structure stability and the extent of base unpairing.
  • The developed MI can predict relative mutation frequencies of unpaired bases in SLSs.
  • Environmental stressors may induce and select for mutations in derepressed genes, with implications for evolution.