2026-06-09T16:27:35+02:00 https://library.wur.nl/oai

oai:library.wur.nl:wurpubs/397486 2026-04-02 edurep openaire public

urn:nbn:nl:ui:32-397486 2026-04-02 urn:nbn:nl:ui:32-397486/mods Continuous-time modeling of cell fate determination in Arabidopsis flowers van Mourik S. 308479904 0000-0001-7965-9227 0000000389836965 aut van Dijk A.D.J. 327941626 0000-0002-8872-5123 0000000389197729 aut de Gee M. 068855850 0000000356520737 aut Immink R.G.H. 239283597 0000-0002-0182-4138 0000000389105804 aut Kaufmann K. 356240282 0000-0001-7960-6256 0000000020628963 aut Angenent G.C. 074723138 0000-0003-4051-1078 0000000398262641 aut van Ham R.C.H.J. 115872469 0000000387196773 aut Molenaar J. 095143033 0000-0001-6011-7487 0000000117447763 aut text info:eu-repo/semantics/article 2010 10.1186/1752-0509-4-101 2-s2.0-77954812402 000282256400002 en 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. EPS-1 PE&RC PRI Bioscience Mathematical and Statistical Methods (MAT) Molecular Biology (MOB) BIOS Plant Development Systems BIOS Applied Bioinformatics Bioinformatics (BIF) complex-formation domain expression floral organ identity homeotic gene apetala3 identification in-vitro mads-box proteins regulatory networks thaliana EPS-1 PE&RC PRI Bioscience Mathematical and Statistical Methods (MAT) Molecular Biology (MOB) BIOS Plant Development Systems BIOS Applied Bioinformatics Bioinformatics (BIF) BMC Systems Biology 4 13 17520509 urn:nbn:nl:ui:32-397486/obj 2026-04-02 http://purl.org/eprint/accessRights/OpenAccess