ArticlePLoS computational biology2022
Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 19 citations in OpenAlex.
- Controlling tissue size by active fracture.Physical review. E · 2026Article
- Mitochondrial function regulates cell growth kinetics to maintain mitochondrial homeostasis.Current biology : CB · 2025Article
- A generalized adder for cell size homeostasis: Effects on stochastic clonal proliferation.Biophysical journal · 2025Article
- A GeneralizedbioRxiv : the preprint server for biology · 2024Article
- A Moments-Based Analytical Approach for Cell Size Homeostasis.IEEE control systems letters · 2024Article
- Poisson representation: a bridge between discrete and continuous models of stochastic gene regulatory networks.Journal of the Royal Society, Interface · 2023Article
- Article
- Analytical cell size distribution: lineage-population bias and parameter inference.Journal of the Royal Society, Interface · 2022Article
- Concentration fluctuations in growing and dividing cells: Insights into the emergence of concentration homeostasis.PLoS computational biology · 2022Article
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
Abstract
Unlike many single-celled organisms, the growth of fission yeast cells within a cell cycle is not exponential. It is rather characterized by three distinct phases (elongation, septation, and reshaping), each with a different growth rate. Experiments also showed that the distribution of cell size in a lineage can be bimodal, unlike the unimodal distributions measured for the bacterium Escherichia coli. Here we construct a detailed stochastic model of cell size dynamics in fission yeast. The theory leads to analytic expressions for the cell size and the birth size distributions, and explains the origin of bimodality seen in experiments. In particular, our theory shows that the left peak in the bimodal distribution is associated with cells in the elongation phase, while the right peak is due to cells in the septation and reshaping phases. We show that the size control strategy, the variability in the added size during a cell cycle, and the fraction of time spent in each of the three cell growth phases have a strong bearing on the shape of the cell size distribution. Furthermore, we infer all the parameters of our model by matching the theoretical cell size and birth size distributions to those from experimental single-cell time-course data for seven different growth conditions. Our method provides a much more accurate means of determining the size control strategy (timer, adder or sizer) than the standard method based on the slope of the best linear fit between the birth and division sizes. We also show that the variability in added size and the strength of size control in fission yeast depend weakly on the temperature but strongly on the culture medium. More importantly, we find that stronger size homeostasis and larger added size variability are required for fission yeast to adapt to unfavorable environmental conditions.
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