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Quantitative PCR of T7 Bacteriophage from Biopanning
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EXPERIMENTAL MOLECULAR EVOLUTION OF BACTERIOPHAGE T7.

J J Bull1, C W Cunningham1, I J Molineux1

  • 1Department of Zoology, University of Texas, Austin, Texas, 78712.

Evolution; International Journal of Organic Evolution
|June 1, 2017
PubMed
Summary
This summary is machine-generated.

This study models molecular evolution in bacteriophage T7, revealing that while some DNA changes are random, others suggest selective pressure. These findings aid in reconstructing evolutionary relationships and understanding viral evolution.

Keywords:
BacteriophageT7experimental molecular evolutionmolecular systematicsparametric bootstraprestriction-site evolutionselection

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Area of Science:

  • Molecular Biology
  • Evolutionary Biology
  • Virology

Background:

  • Bacteriophage T7, a double-stranded DNA virus, provides a model for studying molecular evolution.
  • Understanding restriction site evolution is key to deciphering evolutionary processes.

Purpose of the Study:

  • To analyze molecular evolution in laboratory-evolved bacteriophage T7 lineages.
  • To develop a model for restriction site convergence and divergence.
  • To evaluate phylogeny reconstruction methods using simulated data.

Main Methods:

  • Laboratory evolution of bacteriophage T7 under mutagen exposure.
  • DNA sequencing and restriction site analysis.
  • Computer simulations based on empirical data for phylogeny reconstruction.

Main Results:

  • Observed 0.5%-1.5% base pair changes, predominantly G → A or C → T mutations.
  • Some restriction site losses explained by random mutation, others suggest selective advantage.
  • Phylogeny reconstruction methods correctly identified the topology over 97% of the time, with variations in branch length prediction.

Conclusions:

  • Experimental evolution in bacteriophages offers insights into molecular evolution and evolutionary modeling.
  • Restriction site gain rates require further investigation into T7 genetics.
  • The study provides a framework for evaluating abstract evolutionary models with empirical data.