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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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1007523 |
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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 |
work_keys_str_mv |
AT filipzklawe mathematicalmodelingofplantcellfatetransitionscontrolledbyhormonalsignals AT thomasstiehl mathematicalmodelingofplantcellfatetransitionscontrolledbyhormonalsignals AT peterbastian mathematicalmodelingofplantcellfatetransitionscontrolledbyhormonalsignals AT christophegaillochet mathematicalmodelingofplantcellfatetransitionscontrolledbyhormonalsignals AT janulohmann mathematicalmodelingofplantcellfatetransitionscontrolledbyhormonalsignals AT annamarciniakczochra mathematicalmodelingofplantcellfatetransitionscontrolledbyhormonalsignals |
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