Cited by 36

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Damage dynamics and the role of chance in the timing of E. coli cell death

Yang, Yifan, Karin, Omer, Mayo, Avi, Song, Xiaohu, Chen, Peipei, Santos, Ana L., Lindner, Ariel B., Alon, Uri·2023·Nature Communications

Abstract

Genetically identical cells in the same stressful condition die at different times. The origin of this stochasticity is unclear; it may arise from different initial conditions that affect the time of demise, or from a stochastic damage accumulation mechanism that erases the initial conditions and instead amplifies noise to generate different lifespans. To address this requires measuring damage dynamics in individual cells over the lifespan, but this has rarely been achieved. Here, we used a microfluidic device to measure membrane damage in 635 carbon-starved Escherichia coli cells at high temporal resolution. We find that initial conditions of damage, size or cell-cycle phase do not explain most of the lifespan variation. Instead, the data points to a stochastic mechanism in which noise is amplified by a rising production of damage that saturates its own removal. Surprisingly, the relative variation in damage drops with age: cells become more similar to each other in terms of relative damage, indicating increasing determinism with age. Thus, chance erases initial conditions and then gives way to increasingly deterministic dynamics that dominate the lifespan distribution.

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  • Experiments indicate that damage accelerates with age.

    “Mathematically, if damage did not saturate, that is, if removal was −βx, the steady-state damage would rise linearly with age, whereas experiments indicate that damage accelerates with age2,19,20.”
  • The SR model was defined and calibrated based on longitudinal damage measurements in mice (senescent cells) and Escherichia coli (membrane damage).

    “This model was defined and calibrated based on longitudinal damage measurements in mice (senescent cells) and Escherichia coli (membrane damage)19,20.”
  • A connection between damage and demographic patterns such as survival curves was formed using the saturating removal (SR) model.

    “Recently, a connection between damage and demographic patterns such as survival curves was formed using a mathematical model of damage production and removal called the saturating removal (SR) model.”

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Research works printed but not linked: 41

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Metadata

Authors
Yang, Y., Karin, O., Mayo, A., Song, X., Chen, P., Santos, A. L., Lindner, A. B., & Alon, U.
Venue
Nature Communications
Published
2023-04-18
Volume
14
Issue
1
ISSN
2041-1723
Cited by
36
References
3
Language
en
Funders
Feinberg Graduate School, Weizmann Institute of Science (Senior fellowship)

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