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A Quantitative and Dynamic Model for Plant Stem Cell Regulation

Plants maintain pools of totipotent stem cells throughout their entire life. These stem cells are embedded within specialized tissues called meristems, which form the growing points of the organism. The shoot apical meristem of the reference plant Arabidopsis thaliana is subdivided into several dist...

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Autores principales: Geier, Florian, Lohmann, Jan U., Gerstung, Moritz, Maier, Annette T., Timmer, Jens, Fleck, Christian
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570333/
https://www.ncbi.nlm.nih.gov/pubmed/18958283
http://dx.doi.org/10.1371/journal.pone.0003553
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author Geier, Florian
Lohmann, Jan U.
Gerstung, Moritz
Maier, Annette T.
Timmer, Jens
Fleck, Christian
author_facet Geier, Florian
Lohmann, Jan U.
Gerstung, Moritz
Maier, Annette T.
Timmer, Jens
Fleck, Christian
author_sort Geier, Florian
collection PubMed
description Plants maintain pools of totipotent stem cells throughout their entire life. These stem cells are embedded within specialized tissues called meristems, which form the growing points of the organism. The shoot apical meristem of the reference plant Arabidopsis thaliana is subdivided into several distinct domains, which execute diverse biological functions, such as tissue organization, cell-proliferation and differentiation. The number of cells required for growth and organ formation changes over the course of a plants life, while the structure of the meristem remains remarkably constant. Thus, regulatory systems must be in place, which allow for an adaptation of cell proliferation within the shoot apical meristem, while maintaining the organization at the tissue level. To advance our understanding of this dynamic tissue behavior, we measured domain sizes as well as cell division rates of the shoot apical meristem under various environmental conditions, which cause adaptations in meristem size. Based on our results we developed a mathematical model to explain the observed changes by a cell pool size dependent regulation of cell proliferation and differentiation, which is able to correctly predict CLV3 and WUS over-expression phenotypes. While the model shows stem cell homeostasis under constant growth conditions, it predicts a variation in stem cell number under changing conditions. Consistent with our experimental data this behavior is correlated with variations in cell proliferation. Therefore, we investigate different signaling mechanisms, which could stabilize stem cell number despite variations in cell proliferation. Our results shed light onto the dynamic constraints of stem cell pool maintenance in the shoot apical meristem of Arabidopsis in different environmental conditions and developmental states.
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spelling pubmed-25703332008-10-29 A Quantitative and Dynamic Model for Plant Stem Cell Regulation Geier, Florian Lohmann, Jan U. Gerstung, Moritz Maier, Annette T. Timmer, Jens Fleck, Christian PLoS One Research Article Plants maintain pools of totipotent stem cells throughout their entire life. These stem cells are embedded within specialized tissues called meristems, which form the growing points of the organism. The shoot apical meristem of the reference plant Arabidopsis thaliana is subdivided into several distinct domains, which execute diverse biological functions, such as tissue organization, cell-proliferation and differentiation. The number of cells required for growth and organ formation changes over the course of a plants life, while the structure of the meristem remains remarkably constant. Thus, regulatory systems must be in place, which allow for an adaptation of cell proliferation within the shoot apical meristem, while maintaining the organization at the tissue level. To advance our understanding of this dynamic tissue behavior, we measured domain sizes as well as cell division rates of the shoot apical meristem under various environmental conditions, which cause adaptations in meristem size. Based on our results we developed a mathematical model to explain the observed changes by a cell pool size dependent regulation of cell proliferation and differentiation, which is able to correctly predict CLV3 and WUS over-expression phenotypes. While the model shows stem cell homeostasis under constant growth conditions, it predicts a variation in stem cell number under changing conditions. Consistent with our experimental data this behavior is correlated with variations in cell proliferation. Therefore, we investigate different signaling mechanisms, which could stabilize stem cell number despite variations in cell proliferation. Our results shed light onto the dynamic constraints of stem cell pool maintenance in the shoot apical meristem of Arabidopsis in different environmental conditions and developmental states. Public Library of Science 2008-10-29 /pmc/articles/PMC2570333/ /pubmed/18958283 http://dx.doi.org/10.1371/journal.pone.0003553 Text en Geier et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Geier, Florian
Lohmann, Jan U.
Gerstung, Moritz
Maier, Annette T.
Timmer, Jens
Fleck, Christian
A Quantitative and Dynamic Model for Plant Stem Cell Regulation
title A Quantitative and Dynamic Model for Plant Stem Cell Regulation
title_full A Quantitative and Dynamic Model for Plant Stem Cell Regulation
title_fullStr A Quantitative and Dynamic Model for Plant Stem Cell Regulation
title_full_unstemmed A Quantitative and Dynamic Model for Plant Stem Cell Regulation
title_short A Quantitative and Dynamic Model for Plant Stem Cell Regulation
title_sort quantitative and dynamic model for plant stem cell regulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570333/
https://www.ncbi.nlm.nih.gov/pubmed/18958283
http://dx.doi.org/10.1371/journal.pone.0003553
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