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
SEEK ID: https://fairdomhub.org/projects/116
Public web page: https://faculty.washington.edu/takato/
Organisms: Arabidopsis thaliana
FAIRDOM PALs: No PALs for this Project
Project created: 31st Aug 2018
Related items
- People (4)
- Programmes (1)
- Institutions (2)
- Investigations (2)
- Studies (2)
- Assays (1)
- Data files (1)
- Models (1)
- Publications (3)
- Presentations (2)
- Events (3)
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
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.
Submitter: Andrew Millar
Snapshots: No snapshots
Project to test effects of natural compared to growth chamber 16:8 LD cycles, on expression of Arabidopsis flowering-time genes, and to define the genetic mechanisms and environmental triggers involved. Led by Young-Hun Song and Akane Kubota in the Imaizumi lab, with collaborators testing plants in parallel in Zurich and Edinburgh.
Snapshots: No snapshots
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
Submitter: Andrew Millar
Investigation: Arabidopsis flowering in natural long days
Assays: No Assays
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 (Expand)
Authors: Y. H. Song, A. Kubota, M. S. Kwon, M. F. Covington, N. Lee, E. R. Taagen, D. Laboy Cintron, D. Y. Hwang, R. Akiyama, S. K. Hodge, H. Huang, N. H. Nguyen, D. A. Nusinow, A. J. Millar, K. K. Shimizu, T. Imaizumi
Date Published: 27th Sep 2018
Publication Type: Not specified
PubMed ID: 30250277
Citation: Nat Plants. 2018 Oct;4(10):824-835. doi: 10.1038/s41477-018-0253-3. Epub 2018 Sep 24.
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
ZIP file of Andrew Millar's pictures showing the growth location and setup on 8th June 2016, for plants that were later harvested at the summer solstice in 2016. Location was at the South edge of King's Buildings campus, outside the shelter belt of trees (so they did not shade the plot). The plot is surrounded by access fencing that also cuts some of the wind, established by UoE greenhouse staff led by Dr. Sophie Haupt. The plants were set up and grown by Sarah Hodge, under a light shade of 4 ...
Creators: Andrew Millar, Sarah Hodge
Submitter: Andrew Millar
The samples that were subsequently harvested for RNA extraction in Takato's summer study; pictures from Young Hun and Akane
Creators: Andrew Millar, Young Hun Song, Akane Kubota
Submitter: Andrew Millar
Approximate dates of plant growth and harvesting by Sarah Hodge and Andrew Millar, University of Edinburgh
Country: United Kingdom
City: Edinburgh
This is just a placeholder, to be edited
Start Date: 1st Jun 2016
End Date: Not specified
Event Website: Not specified
Country: Switzerland
City: Zurich
Approximate dates of plant growth and harvesting by Imaizumi lab, University of Washington in Seattle
Start Date: 1st Jun 2014
End Date: 1st Jul 2017
Event Website: Not specified
Country: United States
City: Seattle