Daniel Seaton

Andrew Millar's research group, University of Edinburgh

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.

EU FP7 collaborative project TiMet, award number 245143. Funded 2010-2015. "TiMet assembles world leaders in experimental and theoretical plant systems biology to advance understanding of the regulatory interactions between the circadian clock and plant metabolism, and their emergent effects on whole-plant growth and productivity."

Data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated 2022 as bioRxiv https://doi.org/10.1101/105437v2, mostly on the prr7 prr9 double mutant, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92.

This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and a Snapshot was published. NB ...

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.

Click on Snapshot 2 to download data, models and analysis for Daniel Seaton et al. biorXiv 2017 https://doi.org/10.1101/182071 and Molecular Systems Biology, accepted Jan 2018, https://doi.org/10.15252/msb.20177962. Note that the published paper cannot be fully linked into this record as the DOI above was not live when we made the Research Object from this Investigation on FAIRDOMHub.

Modelling and experiments for FMv2 components.

Modelling and experiments for FMv2 as a whole; Testing Framework Model version 2 (FMv2)

Modelling and experiments for FMv2 as a whole; Testing Framework Model version 2 (FMv2)

Model simulations compared to experimental data from the literature (publications from Mizuno lab are linked), testing the FMv2.

Modelling and experiments for FMv2 as a whole; Testing Framework Model version 2 (FMv2)

Leaf number at flowering data from literature for prr7 prr9 and Col wild-type plants under long photoperiods and short photoperiods

Seedling hypocotyl data from literature for prr7 prr9 and Col wild-type plants under various photoperiods

Combination of multiple sub-models to form Framework Model version 2

Biomass, leaf number and metabolites in Col0 (WT), prr7, prr7prr9, and lsf1. Metabolite data from plants after 28 days of growth were analysed most (27 days 'end of night', 28 days 'end of day' and 'end of night'). The data file also includes data from 21 days of growth ('end of day' and 'end of night'), which is useful for comparison to early-flowering plants not tested here, such as the lhycca1 double mutant, that flower before 28 days, altering their physiology.

Biomass (fresh mass, dry mass), leaf numbers, leaf area, gas exchange and 12 metabolites in Col0 (WT), prr7prr9, and lsf1 (presented in the preprint/paper) and pgm (not analysed further).

Biomass (fresh mass, dry mass), leaf numbers, leaf area, gas exchange and 12 metabolites in Col0 (WT), prr7prr9, and pgm at days 29 and 35, presented in the preprint/publication, with most data also for Col and lhycca1 at days 21/22/23, not analysed further.

We suggest that the lower carbon assimilation rate measured in lhycca1 (see gas exchange data) might allow a calibirated simulation in the FMv2 model in future to incorporate the indirect effects of nightly carbon starvation in this genotype ...

Simulation data from FMv2 calibrated for experiment L&H2, an experiment run at 18.5C instead of the 20.5C of the replicate and related studies. The Excel file includes the mean and SD of the relevant experimental data, and the figure panels.

Transcript profiling by microarray in 4, 6, 8, 12 and 18 h photoperiods, originally published in Flis et al, 2016, Photoperiod-dependent changes in the phase of core clock transcripts and global transcriptional outputs at dawn and dusk in Arabidopsis. doi: 10.1111/pce.12754.

Plant material The same plant material used for transcriptome analysis in (Flis et al., 2016) was the basis of our proteome study. Briefly, Arabidopsis thaliana Col-0 plants were grown on GS 90 soil mixed in a ratio 2:1 (v/v) with vermiculite. Plants were grown for 1 week in a 16 h light (250 μmol m−2 s−1, 20 °C)/8 h dark (6 °C) regime followed by an 8 h light (160 μmol m−2 s−1, 20 °C)/16 h dark (16 °C) regime for one week. Plants were then replanted with five seedlings per pot, transferred for ...

These Python scripts define and simulate the translational coincidence model. This model takes measured transcript dynamics (Blasing et al, 2005) in 12L:12D, measured synthesis rates of protein in light compared to dark (Pal et al, 2013), and outputs predicted changes in protein abundance between short (6h) and long (18h) photoperiods. These are compared to the photoperiod proteomics dataset we generated.

Proteomics data for N15 incorporation into protein in Ostreococcus grown in 12L:12D light:dark cycles.

Quantitative proteomic analysis of Cyanothece ATCC51142 grown in 12L:12D light:dark cycles, using partial metabolic labeling and LC-MS analysis.

Data and Python scripts to run the analysis of literature data that estimates rates of protein synthesis in the light and dark, and overall rates of protein turnover, in Cyanothece and Ostrecoccus tauri.

Luciferase reporter gene assay for circadian period of seedlings in constant light, for Col0 (WT) and prr7prr9, with and without exogenous gibberellins (GA). Supplementary Figure 11f in Chew et al., _in Silico _Plants.

Raw and processed data, together with circadian period analysis and summary statistics, are available from BioDare.ed.ac.uk: choose https://biodare.ed.ac.uk/experiment ("Browse Public Resources" on the Login screen), then you can link to https://biodare.ed.ac.uk/robust/ShowExperiment.action?experimentId=3838, ...

Excel spreadsheet with data and simulations used to prepare figures for publication, see Metadata sheet for conditions. Data Fresh (not dry) rosette leaf biomass, measured in samples of 5 plants each on multiple days, as mean and SD; Simulation outputs from FMv2 for Col Wild Type plants, and two simulations for prr7prr9 where the mutation affects only starch degradation or both starch degradation and malate/fumarate store mobilisation.

Starch levels in carbon units (not C6) measured on on days ...

Experimental data for Laurel and Hardy 3, in MATLAB binary format.

Simulation data for Laurel and Hardy 2, in MATLAB binary format.

Simulation data for Laurel and Hardy 3, in MATLAB binary format.

Excel spreadsheets for biomass, leaf number, gas exchange and metabolites, including pgm and lhycca1. Key data are for 27-28 day old plants for Col and prr7prr9, analysed for the preprint/publication. Gas exchange data for lhycca1 showed lower Assimilation per unit area than Col, prr7prr9; A in pgm was higher than Col. Metabolite data were also collected for Col and lhycca1 at 18 days, before the lhycca1 flowered, but these are marked as unreliable.

Excel spreadsheet with data and simulations used to prepare figures for publication, see Metadata sheet for conditions. Data Fresh (not dry) rosette leaf biomass, measured in samples of 5 plants each on multiple days, as mean and SD; Simulation outputs from FMv2 for Col Wild Type plants, lsf1, and two simulations for prr7prr9 where the mutation affects only starch degradation or both starch degradation and malate/fumarate store mobilisation.

Starch levels in carbon units (not C6) measured on on ...

Experimental data for Laurel and Hardy 2, in MATLAB binary format.

Model analysis results in binary Matlab format

Mean and SD data for metabolites and biomass, along with metadata used to simulate this experiment.

Complete excel spradsheets for Laurel and Hardy 2, including data for the pgm mutant that were not analysed in the Chew et al. 2017 preprint/publication. Data include fresh and dry biomass, gas exchange, leaf numbers and metabolites in Col0 (WT), prr7prr9, pgm and lsf1 plants. Metabolite data are from plants after 27 days of growth (end of night) and 28 days (end of day and end of night).

Excel spreadsheet with data and simulations used to prepare figures for publication, see Metadata sheet for conditions. Data Fresh (not dry) rosette leaf biomass, measured in samples of 5 plants each on multiple days, as mean and SD; Simulation outputs from FMv2 for Col Wild Type plants, lsf1, and two simulations for prr7prr9 where the mutation affects only starch degradation or both starch degradation and malate/fumarate store mobilisation.

Starch levels in carbon units (not C6) measured on on ...

Experimental data, in MATLAB binary file format.

Model simulation data for Laurel and Hardy 1, in MATLAB binary format.

Biomass and metabolite data for Laurel and Hardy 1.

Microarray data at end of day (ED) and end of night (EN) in 4, 6, 8, 12, and 18h photoperiods.

Mean and standard deviation of protein abundances in 6h, 8h, 12h, and 18h photoperiods.

A model of the circadian regulation of starch turnover, as published in Seaton, Ebenhoeh, Millar, Pokhilko, "Regulatory principles and experimental approaches to the circadian control of starch turnover", J. Roy. Soc. Interface, 2013. This model is referred to as "Model Variant 2". The other model variants are all available from www.plasmo.ed.ac.uk as stated in the publication. Note that the 'P2011' circadian clock model was modified for this publication (as described), in order to replicate the ...

Matlab model (could not be represented in SBML) from publication with abstract: Clock-regulated pathways coordinate the response of many developmental processes to changes in photoperiod and temperature. We model two of the best-understood clock output pathways in Arabidopsis, which control key regulators of flowering and elongation growth. In flowering, the model predicted regulatory links from the clock to CYCLING DOF FACTOR 1 (CDF1) and FLAVIN-BINDING, KELCH REPEAT, F-BOX 1 (FKF1) transcription. ...

Framework Model for Arabidopsis vegetative growth, version 2 (FMv2), as described in Chew et al. bioRxiv 2017 (https://doi.org/10.1101/105437; please see linked Article file).

The FMv2 model record on FAIRDOMHub has the following versions, which represent the same FMv2 model: Version 1 is an archive of the github repository of MATLAB code for the Framework Model v2, downloaded from https://github.com/danielseaton/frameworkmodel on 06/02/17. This version was not licensed for further use and was ...

Python scripts to run the analysis estimating rates of protein synthesis in the light and dark, and overall rates of protein turnover, in Cyanothece and Ostrecoccus tauri.