Dynamics of small genetic circuits subject to stochastic partitioning in cell division.
In prokaryotes, partitioning errors during cell division are expected to be a non-negligible source of cell-to-cell diversity in protein numbers. Here, we make use of stochastic simulations to investigate how different degrees of partitioning errors in division affect the cell-to-cell diversity of the dynamics of two genetic circuits, a bistable switch and a clock. First, we find that on average, the stability of the switch decreases with increasing partitioning errors. Despite this, anti-correlations between sister cells, introduced by the partitioning errors, enhance the chances that one of them will remain in the mother cell's state in the next generation, even if the switch is unstable. This reduces the variance of the proportion of phenotypes across generations. In the genetic clock, we find that the robustness of the period decreases with increasing partitioning errors. Nevertheless, the population synchrony is remarkably robust to most errors, only significantly decreasing for the most extreme degree of errors. We conclude that errors in partitioning affect the dynamics of genetic circuits, but the effects are network-dependent and qualitatively different from noise in gene expression.
Laboratory of Biosystem Dynamics, Computational Systems Biology Research Group, Department of Signal Processing, Tampere University of Technology, PO Box 527, FI-33101 Tampere, Finland. Electronic address: jason.lloyd-price@tut.fi.
Jason
J
Lloyd-Price
Laboratory of Biosystem Dynamics, Computational Systems Biology Research Group, Department of Signal Processing, Tampere University of Technology, PO Box 527, FI-33101 Tampere, Finland. Electronic address: huy.tran@tut.fi.
Huy
H
Tran
Laboratory of Biosystem Dynamics, Computational Systems Biology Research Group, Department of Signal Processing, Tampere University of Technology, PO Box 527, FI-33101 Tampere, Finland. Electronic address: andre.ribeiro@tut.fi.
Andre S
AS
Ribeiro
D002455:Cell Division / Q000502:physiology*; D053263:Gene Regulatory Networks / Q000502:physiology*; D008954:Models, Biological; D013269:Stochastic Processes
Cell-to-cell diversity; Partitioning errors; Repressilator; Synchrony; Toggle switch