title: A mechanistic stochastic framework for regulating bacterial cell division.
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.
authors.affiliation: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.
authors.forename: Khem Raj
authors.initials: KR
authors.lastname: Ghusinga
authors.affiliation: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.
authors.forename: Cesar A
authors.initials: CA
authors.lastname: Vargas-Garcia
authors.affiliation: Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.|Department of Biomedical Engineering, University of Delaware, Newark, DE 19716, USA.|Department of Mathematical Sciences, University of Delaware, Newark, DE 19716, USA.
authors.forename: Abhyudai
authors.initials: A
authors.lastname: Singh
mesh_terms: D002453:Cell Cycle / Q000235:genetics; D002455:Cell Division / Q000235:genetics*; D048429:Cell Size; D004926:Escherichia coli / Q000235:genetics / Q000254:growth & development; D006706:Homeostasis / Q000235:genetics; D008954:Models, Biological; D011387:Prokaryotic Cells; D059010:Single-Cell Analysis