Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells Article Swipe
Felix Barber
,
Jiseon Min
,
Andrew W. Murray
,
Ariel Amir
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1009080
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1009080
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pcbi.1009080
- OA Status
- gold
- Cited By
- 12
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3173689726
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- OpenAlex ID
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https://openalex.org/W3173689726Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pcbi.1009080Digital Object Identifier
- Title
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Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cellsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-06-21Full publication date if available
- Authors
-
Felix Barber, Jiseon Min, Andrew W. Murray, Ariel AmirList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pcbi.1009080Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1371/journal.pcbi.1009080Direct OA link when available
- Concepts
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Growth rate, Cell division, Population, Biology, Cell size, Cell growth, Cell, Population growth, Division (mathematics), Population size, Biological system, Saccharomyces cerevisiae, Yeast, Cell biology, Genetics, Mathematics, Sociology, Geometry, Demography, ArithmeticTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 6, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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