Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.

Microbial populations show striking diversity in cell growth morphology and lifecycle; however, our understanding of how these factors influence the growth rate of cell populations remains limited. We use theory and simulations to predict the impact of asymmetric cell division, cell size regulation...

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Autores principales:	Felix Barber, Jiseon Min, Andrew W Murray, Ariel Amir
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b3e7d352ccfe4e518b0c526e350510e7
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spelling	oai:doaj.org-article:b3e7d352ccfe4e518b0c526e350510e72021-11-25T05:40:36ZModeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.1553-734X1553-735810.1371/journal.pcbi.1009080https://doaj.org/article/b3e7d352ccfe4e518b0c526e350510e72021-06-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009080https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Microbial populations show striking diversity in cell growth morphology and lifecycle; however, our understanding of how these factors influence the growth rate of cell populations remains limited. We use theory and simulations to predict the impact of asymmetric cell division, cell size regulation and single-cell stochasticity on the population growth rate. Our model predicts that coarse-grained noise in the single-cell growth rate λ decreases the population growth rate, as previously seen for symmetrically dividing cells. However, for a given noise in λ we find that dividing asymmetrically can enhance the population growth rate for cells with strong size control (between a "sizer" and an "adder"). To reconcile this finding with the abundance of symmetrically dividing organisms in nature, we propose that additional constraints on cell growth and division must be present which are not included in our model, and we explore the effects of selected extensions thereof. Further, we find that within our model, epigenetically inherited generation times may arise due to size control in asymmetrically dividing cells, providing a possible explanation for recent experimental observations in budding yeast. Taken together, our findings provide insight into the complex effects generated by non-canonical growth morphologies.Felix BarberJiseon MinAndrew W MurrayAriel AmirPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 6, p e1009080 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Felix Barber Jiseon Min Andrew W Murray Ariel Amir Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
description	Microbial populations show striking diversity in cell growth morphology and lifecycle; however, our understanding of how these factors influence the growth rate of cell populations remains limited. We use theory and simulations to predict the impact of asymmetric cell division, cell size regulation and single-cell stochasticity on the population growth rate. Our model predicts that coarse-grained noise in the single-cell growth rate λ decreases the population growth rate, as previously seen for symmetrically dividing cells. However, for a given noise in λ we find that dividing asymmetrically can enhance the population growth rate for cells with strong size control (between a "sizer" and an "adder"). To reconcile this finding with the abundance of symmetrically dividing organisms in nature, we propose that additional constraints on cell growth and division must be present which are not included in our model, and we explore the effects of selected extensions thereof. Further, we find that within our model, epigenetically inherited generation times may arise due to size control in asymmetrically dividing cells, providing a possible explanation for recent experimental observations in budding yeast. Taken together, our findings provide insight into the complex effects generated by non-canonical growth morphologies.
format	article
author	Felix Barber Jiseon Min Andrew W Murray Ariel Amir
author_facet	Felix Barber Jiseon Min Andrew W Murray Ariel Amir
author_sort	Felix Barber
title	Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
title_short	Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
title_full	Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
title_fullStr	Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
title_full_unstemmed	Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
title_sort	modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/b3e7d352ccfe4e518b0c526e350510e7
work_keys_str_mv	AT felixbarber modelingtheimpactofsinglecellstochasticityandsizecontrolonthepopulationgrowthrateinasymmetricallydividingcells AT jiseonmin modelingtheimpactofsinglecellstochasticityandsizecontrolonthepopulationgrowthrateinasymmetricallydividingcells AT andrewwmurray modelingtheimpactofsinglecellstochasticityandsizecontrolonthepopulationgrowthrateinasymmetricallydividingcells AT arielamir modelingtheimpactofsinglecellstochasticityandsizecontrolonthepopulationgrowthrateinasymmetricallydividingcells
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Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells.

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