Projects per year
Abstract
Understanding the biochemistry behind whole-organism traits such as flowering time is a longstanding challenge, where mathematical models are critical. Very few models of plant gene circuits use the absolute units required for comparison to biochemical data. We refactor two detailed models of the plant circadian clock from relative to absolute units. Using absolute RNA quantification, a simple model predicted abundant clock protein levels in Arabidopsis thaliana, up to 100,000 proteins per cell. NanoLUC reporter protein fusions validated the predicted levels of clock proteins in vivo. Recalibrating the detailed models to these protein levels estimated their DNA-binding dissociation constants (Kd). We estimate the same Kd from multiple results in vitro, extending the method to any promoter sequence. The detailed models simulated the Kd range estimated from LUX DNA-binding in vitro but departed from the data for CCA1 binding, pointing to further circadian mechanisms. Our analytical and experimental methods should transfer to understand other plant gene regulatory networks, potentially including the natural sequence variation that contributes to evolutionary adaptation.
Original language | English |
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Pages (from-to) | 361-389 |
Number of pages | 29 |
Journal | Molecular Systems Biology |
Volume | 21 |
Issue number | 4 |
Early online date | 20 Feb 2025 |
DOIs | |
Publication status | Published - 2 Apr 2025 |
Keywords / Materials (for Non-textual outputs)
- Gene regulatory networks
- biological clocks
- circadian rhythms
- mathematical modelling
- plant biology
Fingerprint
Dive into the research topics of 'Abundant clock proteins point to missing molecular regulation in the plant circadian clock'. Together they form a unique fingerprint.Projects
- 2 Finished
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Bilateral NSF/BIO-BBSRC: Modelling Light Control of Development
Halliday, K. (Principal Investigator), Grima, R. (Co-investigator), Furniss, J. (Researcher), Seaton, D. (Researcher) & Urquiza garcía, J. (Researcher)
1/09/15 → 31/03/19
Project: Research
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TiMet: Linking the clock to metabolism
Millar, A. (Principal Investigator)
1/03/10 → 28/02/15
Project: Research
Research output
- 1 Protocols
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A step by step protocol for absolute quantification of protein using Arabidopsis thaliana transgenic lines carrying NanoLUC-tagged genes
Urquiza Garcia, U., Molina, N., Halliday, K. J. & Millar, A. J., 19 Dec 2024, 15 p. protocols.io.Research output: Other contribution › Protocols
Open AccessFile
Datasets
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Absolute units for proteins in Arabidopsis clock models up to U2020.5
Urquiza Garcia, U. (Creator), Halliday, K. (Supervisor) & Millar, A. (Supervisor), Zenodo, 19 Dec 2024
Dataset