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© Research
Publication : Journal of the Royal Society, Interface

Growing from a few cells: combined effects of initial stochasticity and cell-to-cell variability

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Journal of the Royal Society, Interface - 26 Apr 2019

Barizien A, Suryateja Jammalamadaka MS, Amselem G, Baroud CN

Link to Pubmed [PMID] – 31014203

J R Soc Interface 2019 Apr;16(153):20180935

The growth of a cell population from a large inoculum appears deterministic, although the division process is stochastic at the single-cell level. Microfluidic observations, however, display wide variations in the growth of small populations. Here we combine theory, simulations and experiments to explore the link between single-cell stochasticity and the growth of a population starting from a small number of individuals. The study yields descriptors of the probability distribution function (PDF) of the population size under three sources of stochasticity: cell-to-cell variability, uncertainty in the number of initial cells and generation-dependent division times. The PDF, rescaled to account for the exponential growth of the population, is found to converge to a stationary distribution. All moments of the PDF grow exponentially with the same growth rate, which depends solely on cell-to-cell variability. The shape of the PDF, however, contains the signature of all sources of stochasticity, and is dominated by the early stages of growth, and not by the cell-to-cell variability. Thus, probabilistic predictions of the growth of bacterial populations can be obtained with implications for both naturally occurring conditions and technological applications of single-cell microfluidics.

https://www.ncbi.nlm.nih.gov/pubmed/31014203