DNA segregation under Par protein control

Lavisha Jindal1, Eldon Emberly1

  • 1Physics Department, Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada.

Plos One
|July 19, 2019
PubMed

Insights

Bacterial DNA segregation relies on the Par protein system. This study models ParA-ParB dynamics, revealing that oscillatory or stable DNA arrangements depend on ParB-complex number, substrate length, and ParA concentration.

Area of Science:

  • Microbiology and Molecular Biology
  • Biophysics
  • Systems Biology

Background:

  • The Par protein system is crucial for bacterial DNA spatial organization and segregation.
  • ParB binds to specific DNA sequences (parS), interacting with ParA to move DNA.
  • Observed plasmid dynamics range from oscillations to stable, equidistant arrangements, but the underlying mechanisms remain unclear.

Purpose of the Study:

  • To investigate the stability of ParB-complex oscillations and their dependence on system parameters.
  • To determine how substrate length and the number of ParB complexes influence DNA segregation dynamics.
  • To explore the role of ParA concentration and hydrolysis in transitioning between oscillatory and fixed-point dynamics.

Main Methods:

  • Development of a deterministic mathematical model for ParA-ParB driven DNA segregation.
  • Analysis of system dynamics based on five key parameters: ParB-complex number, substrate length, ParA concentration, ParA hydrolysis rate, and lengthscale ratios.
  • Simulation of scenarios with buffered ParA rebinding and limited ParA resources.

Main Results:

  • In buffered systems, ParB-complex dynamics are largely independent of substrate length and complex number above a minimum size.
  • Under limited ParA resources, substrate length and complex number exert counteracting effects on oscillatory dynamics.
  • The transition between stable and oscillatory dynamics is governed by five critical parameters.

Conclusions:

  • Bacterial cells may utilize critical ParA levels to switch between oscillatory and fixed-point dynamics for cell cycle progression and DNA partitioning.
  • The model captures observed differences in ParB-complex positioning between bacterial chromosomes and plasmids by adjusting ParA availability or depletion zone size.
  • This work provides insights into the quantitative principles governing bacterial DNA segregation mechanisms.

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