Mathematical modeling of plant cell fate transitions controlled by hormonal signals.

Coordination of fate transition and cell division is crucial to maintain the plant architecture and to achieve efficient production of plant organs. In this paper, we analysed the stem cell dynamics at the shoot apical meristem (SAM) that is one of the plant stem cells locations. We designed a mathe...

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Main Authors: Filip Z Klawe, Thomas Stiehl, Peter Bastian, Christophe Gaillochet, Jan U Lohmann, Anna Marciniak-Czochra
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-07-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007523
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spelling doaj-0dba83e3e134470187399e2888907a1d2021-04-21T15:16:09ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582020-07-01167e100752310.1371/journal.pcbi.1007523Mathematical modeling of plant cell fate transitions controlled by hormonal signals.Filip Z KlaweThomas StiehlPeter BastianChristophe GaillochetJan U LohmannAnna Marciniak-CzochraCoordination of fate transition and cell division is crucial to maintain the plant architecture and to achieve efficient production of plant organs. In this paper, we analysed the stem cell dynamics at the shoot apical meristem (SAM) that is one of the plant stem cells locations. We designed a mathematical model to elucidate the impact of hormonal signaling on the fate transition rates between different zones corresponding to slowly dividing stem cells and fast dividing transit amplifying cells. The model is based on a simplified two-dimensional disc geometry of the SAM and accounts for a continuous displacement towards the periphery of cells produced in the central zone. Coupling growth and hormonal signaling results in a nonlinear system of reaction-diffusion equations on a growing domain with the growth rate depending on the model components. The model is tested by simulating perturbations in the level of key transcription factors that maintain SAM homeostasis. The model provides new insights on how the transcription factor HECATE is integrated in the regulatory network that governs stem cell differentiation.https://doi.org/10.1371/journal.pcbi.1007523
collection DOAJ
language English
format Article
sources DOAJ
author Filip Z Klawe
Thomas Stiehl
Peter Bastian
Christophe Gaillochet
Jan U Lohmann
Anna Marciniak-Czochra
spellingShingle Filip Z Klawe
Thomas Stiehl
Peter Bastian
Christophe Gaillochet
Jan U Lohmann
Anna Marciniak-Czochra
Mathematical modeling of plant cell fate transitions controlled by hormonal signals.
PLoS Computational Biology
author_facet Filip Z Klawe
Thomas Stiehl
Peter Bastian
Christophe Gaillochet
Jan U Lohmann
Anna Marciniak-Czochra
author_sort Filip Z Klawe
title Mathematical modeling of plant cell fate transitions controlled by hormonal signals.
title_short Mathematical modeling of plant cell fate transitions controlled by hormonal signals.
title_full Mathematical modeling of plant cell fate transitions controlled by hormonal signals.
title_fullStr Mathematical modeling of plant cell fate transitions controlled by hormonal signals.
title_full_unstemmed Mathematical modeling of plant cell fate transitions controlled by hormonal signals.
title_sort mathematical modeling of plant cell fate transitions controlled by hormonal signals.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2020-07-01
description Coordination of fate transition and cell division is crucial to maintain the plant architecture and to achieve efficient production of plant organs. In this paper, we analysed the stem cell dynamics at the shoot apical meristem (SAM) that is one of the plant stem cells locations. We designed a mathematical model to elucidate the impact of hormonal signaling on the fate transition rates between different zones corresponding to slowly dividing stem cells and fast dividing transit amplifying cells. The model is based on a simplified two-dimensional disc geometry of the SAM and accounts for a continuous displacement towards the periphery of cells produced in the central zone. Coupling growth and hormonal signaling results in a nonlinear system of reaction-diffusion equations on a growing domain with the growth rate depending on the model components. The model is tested by simulating perturbations in the level of key transcription factors that maintain SAM homeostasis. The model provides new insights on how the transcription factor HECATE is integrated in the regulatory network that governs stem cell differentiation.
url https://doi.org/10.1371/journal.pcbi.1007523
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