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Continuous-time modeling of cell fate determination in Arabidopsis flowers
BACKGROUND: The genetic control of floral organ specification is currently being investigated by various approaches, both experimentally and through modeling. Models and simulations have mostly involved boolean or related methods, and so far a quantitative, continuous-time approach has not been expl...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922098/ https://www.ncbi.nlm.nih.gov/pubmed/20649974 http://dx.doi.org/10.1186/1752-0509-4-101 |
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author | van Mourik, Simon van Dijk, Aalt DJ de Gee, Maarten Immink, Richard GH Kaufmann, Kerstin Angenent, Gerco C van Ham, Roeland CHJ Molenaar, Jaap |
author_facet | van Mourik, Simon van Dijk, Aalt DJ de Gee, Maarten Immink, Richard GH Kaufmann, Kerstin Angenent, Gerco C van Ham, Roeland CHJ Molenaar, Jaap |
author_sort | van Mourik, Simon |
collection | PubMed |
description | BACKGROUND: The genetic control of floral organ specification is currently being investigated by various approaches, both experimentally and through modeling. Models and simulations have mostly involved boolean or related methods, and so far a quantitative, continuous-time approach has not been explored. RESULTS: We propose an ordinary differential equation (ODE) model that describes the gene expression dynamics of a gene regulatory network that controls floral organ formation in the model plant Arabidopsis thaliana. In this model, the dimerization of MADS-box transcription factors is incorporated explicitly. The unknown parameters are estimated from (known) experimental expression data. The model is validated by simulation studies of known mutant plants. CONCLUSIONS: The proposed model gives realistic predictions with respect to independent mutation data. A simulation study is carried out to predict the effects of a new type of mutation that has so far not been made in Arabidopsis, but that could be used as a severe test of the validity of the model. According to our predictions, the role of dimers is surprisingly important. Moreover, the functional loss of any dimer leads to one or more phenotypic alterations. |
format | Text |
id | pubmed-2922098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29220982010-08-17 Continuous-time modeling of cell fate determination in Arabidopsis flowers van Mourik, Simon van Dijk, Aalt DJ de Gee, Maarten Immink, Richard GH Kaufmann, Kerstin Angenent, Gerco C van Ham, Roeland CHJ Molenaar, Jaap BMC Syst Biol Research Article BACKGROUND: The genetic control of floral organ specification is currently being investigated by various approaches, both experimentally and through modeling. Models and simulations have mostly involved boolean or related methods, and so far a quantitative, continuous-time approach has not been explored. RESULTS: We propose an ordinary differential equation (ODE) model that describes the gene expression dynamics of a gene regulatory network that controls floral organ formation in the model plant Arabidopsis thaliana. In this model, the dimerization of MADS-box transcription factors is incorporated explicitly. The unknown parameters are estimated from (known) experimental expression data. The model is validated by simulation studies of known mutant plants. CONCLUSIONS: The proposed model gives realistic predictions with respect to independent mutation data. A simulation study is carried out to predict the effects of a new type of mutation that has so far not been made in Arabidopsis, but that could be used as a severe test of the validity of the model. According to our predictions, the role of dimers is surprisingly important. Moreover, the functional loss of any dimer leads to one or more phenotypic alterations. BioMed Central 2010-07-22 /pmc/articles/PMC2922098/ /pubmed/20649974 http://dx.doi.org/10.1186/1752-0509-4-101 Text en Copyright ©2010 van Mourik et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article van Mourik, Simon van Dijk, Aalt DJ de Gee, Maarten Immink, Richard GH Kaufmann, Kerstin Angenent, Gerco C van Ham, Roeland CHJ Molenaar, Jaap Continuous-time modeling of cell fate determination in Arabidopsis flowers |
title | Continuous-time modeling of cell fate determination in Arabidopsis flowers |
title_full | Continuous-time modeling of cell fate determination in Arabidopsis flowers |
title_fullStr | Continuous-time modeling of cell fate determination in Arabidopsis flowers |
title_full_unstemmed | Continuous-time modeling of cell fate determination in Arabidopsis flowers |
title_short | Continuous-time modeling of cell fate determination in Arabidopsis flowers |
title_sort | continuous-time modeling of cell fate determination in arabidopsis flowers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922098/ https://www.ncbi.nlm.nih.gov/pubmed/20649974 http://dx.doi.org/10.1186/1752-0509-4-101 |
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