English

Multigenerational memory in bacterial size control

Biological Physics 2023-05-25 v2

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 {\it Escherichia coli} size data in microfluidic experiments, we recapitulate the observed statistics. Our work elucidates the impact of the environment on cell homeostasis and growth and division dynamics.

Keywords

Cite

@article{arxiv.2206.05340,
  title  = {Multigenerational memory in bacterial size control},
  author = {Motasem ElGamel and Harsh Vashistha and Hanna Salman and Andrew Mugler},
  journal= {arXiv preprint arXiv:2206.05340},
  year   = {2023}
}

Comments

18 pages, 7 figures

R2 v1 2026-06-24T11:47:09.399Z