SEEK ID: https://fairdomhub.org/studies/597
Arabidopsis flowering in natural long days
Projects: Millar group, Regulation of flowering time in natural conditions
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Created: 3rd May 2019 at 18:15
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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/0000-0003-1756-3654
The Centre for Engineering Biology is the University of Edinburgh's research organisation in interdisciplinary, Synthetic and Systems Biology, founded in 2023 as the successor to SynthSys, itself founded in 2012 as the successor to the Centre for Systems Biology at Edinburgh (CSBE). CSBE was newly founded in 2007. The Centre for Engineering Biology is a hub organisation that links across multiple, major funding awards, including an Engineering Biology Mission Hub, and EPSRC C-loop.
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: https://biology.ed.ac.uk/centre-engineering-biology
Andrew Millar's research group, University of Edinburgh
Programme: Centre for Engineering Biology (prev. SynthSys)
Public web page: http://www.amillar.org
Organisms: Escherichia coli, 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: Centre for Engineering Biology (prev. SynthSys)
Public web page: https://faculty.washington.edu/takato/
Organisms: Arabidopsis thaliana
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.
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