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Packaging contests between viral RNA molecules and kinetic selectivity.

Inbal Mizrahi1, Robijn Bruinsma1,2, Joseph Rudnick1

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This study models how viruses kinetically select RNA during assembly. Optimal selection occurs under supersaturation and specific concentration ratios, with low energy barriers erasing selectivity.

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Area of Science:

  • Statistical mechanics
  • Virology
  • Molecular biology

Background:

  • Small RNA virus assembly involves kinetic selection of viral RNA by packaging signals.
  • RNA secondary structure and folding geometry influence assembly kinetics.

Purpose of the Study:

  • To develop a statistical-mechanics model for kinetic selection of viral RNA.
  • To investigate the role of RNA packaging signals in viral assembly.

Main Methods:

  • Statistical-mechanics modeling
  • Analysis of RNA secondary structure and folding geometry
  • Incorporation of wrapping number and maximum ladder distance

Main Results:

  • Kinetic selection is optimal under supersaturation.
  • Optimal selection is achieved when capsid protein and viral RNA concentrations match the stoichiometric ratio.
  • Low activation energy barriers lead to an order-disorder transition, erasing kinetic selectivity due to entropic effects.

Conclusions:

  • The model provides insights into the mechanisms of viral RNA packaging.
  • Understanding these principles can inform strategies for antiviral therapies.
  • Kinetic and entropic factors play crucial roles in viral assembly fidelity.