Abundant clock proteins point to missing molecular regulation in the plant circadian clock

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 (K<sub>d</sub>). We estimate the same K<sub>d</sub> from multiple results in vitro, extending the method to any promoter sequence. The detailed models simulated the K<sub>d</sub> 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.

Authors

Institutions

Publication Details

Journal
Molecular Systems Biology
Published
2025-02-20
DOI
https://doi.org/10.1038/s44320-025-00086-5
Citations
3
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
5.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abundant clock proteins point to missing molecular regulation in the plant circadian clock

Karen Halliday, Uriel Urquiza‐García, Nacho Molina, Andrew J. Millar
3 citations
Molecular Systems Biology
Plant Molecular Biology Research
5.25
article

Abundant clock proteins point to missing molecular regulation in the plant circadian clock

Karen Halliday, Uriel Urquiza‐García, Nacho Molina, Andrew J. Millar
article en
3 citations

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 (K<sub>d</sub>). We estimate the same K<sub>d</sub> from multiple results in vitro, extending the method to any promoter sequence. The detailed models simulated the K<sub>d</sub> 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.

Molecular Systems BiologyVol. 21(4)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut de génétique et de biologie moléculaire et cellulaire (FR), Cluster of Excellence on Plant Sciences (DE), Heinrich Heine University Düsseldorf (DE), University of Edinburgh (GB)
York University, European Commission, Deutsche Forschungsgemeinschaft, Consejo Nacional de Ciencia y Tecnología, Shimane University, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council
Life in Land
Openalex Percentile: Top 6%
Plant Molecular Biology Research
5.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.