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Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach

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...

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Autores principales: Jia, Chen, Singh, Abhyudai, Grima, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797179/
https://www.ncbi.nlm.nih.gov/pubmed/35041656
http://dx.doi.org/10.1371/journal.pcbi.1009793
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author Jia, Chen
Singh, Abhyudai
Grima, Ramon
author_facet Jia, Chen
Singh, Abhyudai
Grima, Ramon
author_sort Jia, Chen
collection PubMed
description 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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spelling pubmed-87971792022-01-29 Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach Jia, Chen Singh, Abhyudai Grima, Ramon PLoS Comput Biol Research Article 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. Public Library of Science 2022-01-18 /pmc/articles/PMC8797179/ /pubmed/35041656 http://dx.doi.org/10.1371/journal.pcbi.1009793 Text en © 2022 Jia et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jia, Chen
Singh, Abhyudai
Grima, Ramon
Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
title Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
title_full Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
title_fullStr Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
title_full_unstemmed Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
title_short Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
title_sort characterizing non-exponential growth and bimodal cell size distributions in fission yeast: an analytical approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797179/
https://www.ncbi.nlm.nih.gov/pubmed/35041656
http://dx.doi.org/10.1371/journal.pcbi.1009793
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