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A mechanistic stochastic framework for regulating bacterial cell division
How exponentially growing cells maintain size homeostasis is an important fundamental problem. Recent single-cell studies in prokaryotes have uncovered the adder principle, where cells add a fixed size (volume) from birth to division, irrespective of their size at birth. To mechanistically explain t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960620/ https://www.ncbi.nlm.nih.gov/pubmed/27456660 http://dx.doi.org/10.1038/srep30229 |
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author | Ghusinga, Khem Raj Vargas-Garcia, Cesar A. Singh, Abhyudai |
author_facet | Ghusinga, Khem Raj Vargas-Garcia, Cesar A. Singh, Abhyudai |
author_sort | Ghusinga, Khem Raj |
collection | PubMed |
description | How exponentially growing cells maintain size homeostasis is an important fundamental problem. Recent single-cell studies in prokaryotes have uncovered the adder principle, where cells add a fixed size (volume) from birth to division, irrespective of their size at birth. To mechanistically explain the adder principle, we consider a timekeeper protein that begins to get stochastically expressed after cell birth at a rate proportional to the volume. Cell-division time is formulated as the first-passage time for protein copy numbers to hit a fixed threshold. Consistent with data, the model predicts that the noise in division timing increases with size at birth. Intriguingly, our results show that the distribution of the volume added between successive cell-division events is independent of the newborn cell size. This was dramatically seen in experimental studies, where histograms of the added volume corresponding to different newborn sizes collapsed on top of each other. The model provides further insights consistent with experimental observations: the distribution of the added volume when scaled by its mean becomes invariant of the growth rate. In summary, our simple yet elegant model explains key experimental findings and suggests a mechanism for regulating both the mean and fluctuations in cell-division timing for controlling size. |
format | Online Article Text |
id | pubmed-4960620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49606202016-08-05 A mechanistic stochastic framework for regulating bacterial cell division Ghusinga, Khem Raj Vargas-Garcia, Cesar A. Singh, Abhyudai Sci Rep Article How exponentially growing cells maintain size homeostasis is an important fundamental problem. Recent single-cell studies in prokaryotes have uncovered the adder principle, where cells add a fixed size (volume) from birth to division, irrespective of their size at birth. To mechanistically explain the adder principle, we consider a timekeeper protein that begins to get stochastically expressed after cell birth at a rate proportional to the volume. Cell-division time is formulated as the first-passage time for protein copy numbers to hit a fixed threshold. Consistent with data, the model predicts that the noise in division timing increases with size at birth. Intriguingly, our results show that the distribution of the volume added between successive cell-division events is independent of the newborn cell size. This was dramatically seen in experimental studies, where histograms of the added volume corresponding to different newborn sizes collapsed on top of each other. The model provides further insights consistent with experimental observations: the distribution of the added volume when scaled by its mean becomes invariant of the growth rate. In summary, our simple yet elegant model explains key experimental findings and suggests a mechanism for regulating both the mean and fluctuations in cell-division timing for controlling size. Nature Publishing Group 2016-07-26 /pmc/articles/PMC4960620/ /pubmed/27456660 http://dx.doi.org/10.1038/srep30229 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ghusinga, Khem Raj Vargas-Garcia, Cesar A. Singh, Abhyudai A mechanistic stochastic framework for regulating bacterial cell division |
title | A mechanistic stochastic framework for regulating bacterial cell division |
title_full | A mechanistic stochastic framework for regulating bacterial cell division |
title_fullStr | A mechanistic stochastic framework for regulating bacterial cell division |
title_full_unstemmed | A mechanistic stochastic framework for regulating bacterial cell division |
title_short | A mechanistic stochastic framework for regulating bacterial cell division |
title_sort | mechanistic stochastic framework for regulating bacterial cell division |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960620/ https://www.ncbi.nlm.nih.gov/pubmed/27456660 http://dx.doi.org/10.1038/srep30229 |
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