Abstract

How exponentially growing cells maintain size homeostasis is an important fundamental problem. Recent single-cell studies in prokaryotes have uncovered the adder principle, where cells add a fixed size (volume) from birth to division, irrespective of their size at birth. To mechanistically explain the adder principle, we consider a timekeeper protein that begins to get stochastically expressed after cell birth at a rate proportional to the volume. Cell-division time is formulated as the first-passage time for protein copy numbers to hit a fixed threshold. Consistent with data, the model predicts that the noise in division timing increases with size at birth. Intriguingly, our results show that the distribution of the volume added between successive cell-division events is independent of the newborn cell size. This was dramatically seen in experimental studies, where histograms of the added volume corresponding to different newborn sizes collapsed on top of each other. The model provides further insights consistent with experimental observations: the distribution of the added volume when scaled by its mean becomes invariant of the growth rate. In summary, our simple yet elegant model explains key experimental findings and suggests a mechanism for regulating both the mean and fluctuations in cell-division timing for controlling size.

Highlights

  • Considering noisy expression of the timekeeper protein, one can formulate cell-division time as a first-passage time problem: an event occurs when a stochastic process hits a threshold for the first time (Fig. 1b)

  • As growing bacterial cells are known to regulate the number of DNA replication forks as a function of growth rate, we assume that the threshold for the timekeeper proteins changes

  • We studied a simple molecular mechanism for realizing the adder principle that consists of a timekeeper protein expressed at a rate proportional to cell volume up to a critical threshold

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Summary

Introduction

Considering noisy expression of the timekeeper protein, one can formulate cell-division time as a first-passage time problem: an event (division) occurs when a stochastic process (protein copy numbers) hits a threshold for the first time (Fig. 1b). Analysis of the model further shows that the distribution of the volume added from cell birth to division is always independent of the newborn cell size. We derive the distribution of the cell-division time (FPT) for a given newborn cell size Vb and investigate how its statistical moments depend on Vb. We begin by finding the distribution of the minimum number of burst events N required for x(t) to reach the threshold X.

Results
Conclusion

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