Abstract
BackgroundHow small, fast-growing bacteria ensure tight cell-size distributions remains elusive. High-throughput measurement techniques have propelled efforts to build modeling tools that help to shed light on the relationships between cell size, growth and cycle progression. Most proposed models describe cell division as a discrete map between size at birth and size at division with stochastic fluctuations assumed. However, such models underestimate the role of cell size transient dynamics by excluding them.ResultsWe propose an efficient approach for estimation of cell size transient dynamics. Our technique approximates the transient size distribution and statistical moment dynamics of exponential growing cells following an adder strategy with arbitrary precision.ConclusionsWe approximate, up to arbitrary precision, the distribution of division times and size across time for the adder strategy in rod-shaped bacteria cells. Our approach is able to compute statistical moments like mean size and its variance from such distributions efficiently, showing close match with numerical simulations. Additionally, we observed that these distributions have periodic properties. Our approach further might shed light on the mechanisms behind gene product homeostasis.
Highlights
Stochastic modeling of bacterial cell division has been widely used in systems biology[1,2,3,4]
Cell-size transient distribution for the adder strategy Let Pi(t) represent the probability of the counting process n(t) being in the state n(t) = i and the transition rate h = ks with s given by (3)
The master equation that describes the dynamics of Pi(t) is given by dP0(t) dt
Summary
Stochastic modeling of bacterial cell division has been widely used in systems biology[1,2,3,4]. Predictions of stochastic modeling have been challenged experimentally by increasingly accurate highthroughput measurements of cellular variables enabled by time-lapse imaging, image processing and micro-fluidic devices for fine environmental control. These experiments have elucidated division strategies in rod shaped microorganisms like bacteria[2, 3], yeast[9] and archea[10]. Most proposed models describe cell division as a discrete map between size at birth and size at division with stochastic fluctuations assumed. Such models underestimate the role of cell size transient dynamics by excluding them
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