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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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Detalles Bibliográficos
Autores principales: Barber, Felix, Min, Jiseon, Murray, Andrew W., Amir, Ariel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248971/
https://www.ncbi.nlm.nih.gov/pubmed/34153030
http://dx.doi.org/10.1371/journal.pcbi.1009080
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author Barber, Felix
Min, Jiseon
Murray, Andrew W.
Amir, Ariel
author_facet Barber, Felix
Min, Jiseon
Murray, Andrew W.
Amir, Ariel
author_sort Barber, Felix
collection PubMed
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.
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spelling pubmed-82489712021-07-09 Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells Barber, Felix Min, Jiseon Murray, Andrew W. Amir, Ariel PLoS Comput Biol Research Article 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. Public Library of Science 2021-06-21 /pmc/articles/PMC8248971/ /pubmed/34153030 http://dx.doi.org/10.1371/journal.pcbi.1009080 Text en © 2021 Barber 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
Barber, Felix
Min, Jiseon
Murray, Andrew W.
Amir, Ariel
Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248971/
https://www.ncbi.nlm.nih.gov/pubmed/34153030
http://dx.doi.org/10.1371/journal.pcbi.1009080
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