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Multigenerational memory in bacterial size control

Motasem ElGamel, Harsh Vashistha*, Hanna Salman, and Andrew Mugler†

  • Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania, 15260, USA

  • *Present address: Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut 06511, USA.
  • †andrew.mugler@pitt.edu

Phys. Rev. E 108, L032401 – Published 12 September, 2023

DOI: https://doi.org/10.1103/PhysRevE.108.L032401

Abstract

Cells maintain a stable size as they grow and divide. Inspired by the available experimental data, most proposed models for size homeostasis assume size-control mechanisms that act on a timescale of one generation. Such mechanisms lead to short-lived autocorrelations in size fluctuations that decay within less than two generations. However, recent evidence from comparing sister lineages suggests that correlations in size fluctuations can persist for many generations. Here we develop a minimal model that explains these seemingly contradictory results. Our model proposes that different environments result in different control parameters, leading to distinct inheritance patterns. Multigenerational memory is revealed in constant environments but obscured when averaging over many different environments. Inferring the parameters of our model from Escherichia coli size data in microfluidic experiments, we recapitulate the observed statistics. Our paper elucidates the impact of the environment on cell homeostasis and growth and division dynamics.

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