Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.

Cell size distribution is highly reproducible, whereas the size of individual cells often varies greatly within a tissue. This is obvious in a population of Arabidopsis thaliana leaf epidermal cells, which ranged from 1,000 to 10,000 μm2 in size. Endoreduplication is a specialized cell cycle in whic...

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Main Authors: Kensuke Kawade, Hirokazu Tsukaya
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5605191?pdf=render
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spelling doaj-df25c09eea414f728617bae566c187f92020-11-25T00:08:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01129e018505010.1371/journal.pone.0185050Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.Kensuke KawadeHirokazu TsukayaCell size distribution is highly reproducible, whereas the size of individual cells often varies greatly within a tissue. This is obvious in a population of Arabidopsis thaliana leaf epidermal cells, which ranged from 1,000 to 10,000 μm2 in size. Endoreduplication is a specialized cell cycle in which nuclear genome size (ploidy) is doubled in the absence of cell division. Although epidermal cells require endoreduplication to enhance cellular expansion, the issue of whether this mechanism is sufficient for explaining cell size distribution remains unclear due to a lack of quantitative understanding linking the occurrence of endoreduplication with cell size diversity. Here, we addressed this question by quantitatively summarizing ploidy profile and cell size distribution using a simple theoretical framework. We first found that endoreduplication dynamics is a Poisson process through cellular maturation. This finding allowed us to construct a mathematical model to predict the time evolution of a ploidy profile with a single rate constant for endoreduplication occurrence in a given time. We reproduced experimentally measured ploidy profile in both wild-type leaf tissue and endoreduplication-related mutants with this analytical solution, further demonstrating the probabilistic property of endoreduplication. We next extended the mathematical model by incorporating the element that cell size is determined according to ploidy level to examine cell size distribution. This analysis revealed that cell size is exponentially enlarged 1.5 times every endoreduplication round. Because this theoretical simulation successfully recapitulated experimentally observed cell size distributions, we concluded that Poissonian endoreduplication dynamics and exponential size-boosting are the sources of the broad cell size distribution in epidermal tissue. More generally, this study contributes to a quantitative understanding whereby stochastic dynamics generate steady-state biological heterogeneity.http://europepmc.org/articles/PMC5605191?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Kensuke Kawade
Hirokazu Tsukaya
spellingShingle Kensuke Kawade
Hirokazu Tsukaya
Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.
PLoS ONE
author_facet Kensuke Kawade
Hirokazu Tsukaya
author_sort Kensuke Kawade
title Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.
title_short Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.
title_full Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.
title_fullStr Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.
title_full_unstemmed Probing the stochastic property of endoreduplication in cell size determination of Arabidopsis thaliana leaf epidermal tissue.
title_sort probing the stochastic property of endoreduplication in cell size determination of arabidopsis thaliana leaf epidermal tissue.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Cell size distribution is highly reproducible, whereas the size of individual cells often varies greatly within a tissue. This is obvious in a population of Arabidopsis thaliana leaf epidermal cells, which ranged from 1,000 to 10,000 μm2 in size. Endoreduplication is a specialized cell cycle in which nuclear genome size (ploidy) is doubled in the absence of cell division. Although epidermal cells require endoreduplication to enhance cellular expansion, the issue of whether this mechanism is sufficient for explaining cell size distribution remains unclear due to a lack of quantitative understanding linking the occurrence of endoreduplication with cell size diversity. Here, we addressed this question by quantitatively summarizing ploidy profile and cell size distribution using a simple theoretical framework. We first found that endoreduplication dynamics is a Poisson process through cellular maturation. This finding allowed us to construct a mathematical model to predict the time evolution of a ploidy profile with a single rate constant for endoreduplication occurrence in a given time. We reproduced experimentally measured ploidy profile in both wild-type leaf tissue and endoreduplication-related mutants with this analytical solution, further demonstrating the probabilistic property of endoreduplication. We next extended the mathematical model by incorporating the element that cell size is determined according to ploidy level to examine cell size distribution. This analysis revealed that cell size is exponentially enlarged 1.5 times every endoreduplication round. Because this theoretical simulation successfully recapitulated experimentally observed cell size distributions, we concluded that Poissonian endoreduplication dynamics and exponential size-boosting are the sources of the broad cell size distribution in epidermal tissue. More generally, this study contributes to a quantitative understanding whereby stochastic dynamics generate steady-state biological heterogeneity.
url http://europepmc.org/articles/PMC5605191?pdf=render
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