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Project to test effects of temperature cycles on expression of Arabidopsis florigen gene FT, and whether these are mediated by temperature-dependent leaf development or temperature-specific FT expression, or both. Re-used and extended Arabidopsis Framework Model v1 to address this question. Led by Hannah Kinmonth-Schultz in Kim and Imaizumi labs, collaborating with Millar lab.
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Created: 2nd May 2019 at 13:35
Last updated: 1st Sep 2019 at 18:16
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Projects: Millar group, TiMet, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, POP - the Parameter Optimisation Problem, Regulation of flowering time in natural conditions, PlaSMo model repository
Institutions: University of Edinburgh
https://orcid.org/0000-0003-1756-3654SynthSys is the University of Edinburgh's research organisation in interdisciplinary, Synthetic and Systems Biology, founded in 2012 as the successor to the Centre for Systems Biology at Edinburgh (CSBE).
Projects: Millar group, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, TiMet, POP - the Parameter Optimisation Problem, Regulation of flowering time in natural conditions, PlaSMo model repository
Web page: http://www.synthsys.ed.ac.uk
What is PlaSMo? PlaSMo stands for Plant Systems-biology Modelling Ensuring the achievements of yesterday's Mathematical Modellers will be available for the Systems Biologists of tomorrow.
Our aims
To identify plant mathematical models useful to the UK plant systems biology community, which are currently in a variety of legacy formats and in danger of being lost To represent these models in a declarative XML-based format, which is closer to the systems biology standard SBML To evaluate the behaviour ...
Programme: SynthSys
Public web page: Not specified
Organisms: Arabidopsis thaliana, Ostreococcus tauri
Research programme in the Takato Imaizumi lab, with multiple collaborators. Published in Song et al. Nature Plants 2018; Kinmonth-Schultz et al., in silico Plant 2019.
Programme: SynthSys
Public web page: https://faculty.washington.edu/takato/
Organisms: Arabidopsis thaliana
Andrew Millar's research group, University of Edinburgh
Programme: SynthSys
Public web page: http://www.amillar.org
Organisms: Escherichia coli, Arabidopsis thaliana, Ostreococcus tauri
Assays for model composition here, in order to share model files; potentially training and validation data in other Studies.
Submitter: Andrew Millar
Investigation: Temperature effects on Arabidopsis floral induc...
Snapshots: No snapshots
Model files for FMv1.5. The model is based on FMv1 of Chew et al. PNAS 2014, which is also in FAIRDOMHub and linked to the Model record as an 'Attribution'. FMv1 was extended in this work by Hannah Kinmonth-Schultz and Daniel Seaton, in Matlab.
Submitter: Andrew Millar
Biological problem addressed: Model Analysis Type
Investigation: Temperature effects on Arabidopsis floral induc...
Organisms: Arabidopsis thaliana : Col-0 wild type (wild-type / wild-type)
Models: framework model v1_5
SOPs: No SOPs
Data files: Data_training & testing
Snapshots: No snapshots
Data used for training or testing of the model
Creator: Hannah Kinmonth-Schultz
Submitter: Hannah Kinmonth-Schultz
Investigations: Temperature effects on Arabidopsis floral induc...
Model associated with the following:
Hannah A Kinmonth-Schultz, Melissa J S MacEwen, Daniel D Seaton, Andrew J Millar, Takato Imaizumi, Soo-Hyung Kim, An explanatory model of temperature influence on flowering through whole-plant accumulation of FLOWERING LOCUS T in Arabidopsis thaliana, in silico Plants, Volume 1, Issue 1, 2019, diz006, https://doi.org/10.1093/insilicoplants/diz006
Creator: Hannah Kinmonth-Schultz
Submitter: Hannah Kinmonth-Schultz
Model type: Not specified
Model format: Matlab package
Environment: Matlab
Organism: Arabidopsis thaliana
Investigations: Temperature effects on Arabidopsis floral induc...
Abstract (Expand)
Authors: Hannah A Kinmonth-Schultz, Melissa J S MacEwen, Daniel D Seaton, Andrew J Millar, Takato Imaizumi, Soo-Hyung Kim
Date Published: 2019
Publication Type: Journal
DOI: 10.1093/insilicoplants/diz006
Citation: in silico Plants 1(1),diz006
Abstract
Authors: Hannah A Kinmonth-Schultz, Melissa J MacEwen, Daniel D Seaton, Andrew J Millar, Takato Imaizumi, Soo-Hyung Kim
Date Published: No date defined
Publication Type: Not specified
DOI: 10.1101/267104
Citation: Mechanistic model of temperature influence on flowering through whole-plant accumulation of FT