SynthSys

What is PlaSMo? PlaSMo stands for Plant Systems-biology Modelling Ensuring the achievements of yesterday's Mathematical Modellers will be available for the Systems Biologists of tomorrow.

Our aims

To identify plant mathematical models useful to the UK plant systems biology community, which are currently in a variety of legacy formats and in danger of being lost To represent these models in a declarative XML-based format, which is closer to the systems biology standard SBML To evaluate the behaviour ...

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.

Andrew Millar's research group, University of Edinburgh

For plants, light is a signal that carries information about the environment, and a source of energy for photosynthesis. PHYTOCAL focuses on the interaction between phytochrome signalling and photosynthesis, and seeks to understand fundamental processes that make carbon (C) and nitrogen (N) resources available for plant growth. These unexplored connections underlie biomass production and plasticity, which contribute significantly to yield variability in the field.

EPSRC project with Exeter, SynthSys and EPCC

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 in 2022, mostly on the prr7 prr9 double mutant, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU FP7 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. The updates are not changing the core data or the FMv2 model that has been ...

The dataset presents mathematical models of the gene regulatory network of the circadian clock, in the plant Arabidopsis thaliana. The work is published in Urquiza-Garcia and Millar, Testing the inferred transcription rates of a dynamic, gene network model in absolute units, In Silico Plants, 2021.

Starting from the P2011 model, this project corrects theoretical issues (EC steady state binding assumption) to form an intermediate model (first version U2017.1; published as U2019.1) model, rescales ...

Collection of models submitted to PLaSMo by Uriel Urquiza Garcia and automatically transferred to FAIRDOM Hub.

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.

Collection of models submitted to PLaSMo by Yin Hoon and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Andrew Millar and automatically transferred to FAIRDOM Hub.

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.

Collection of models submitted to PLaSMo by Tomasz Zielinski and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Alexandra Graf and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Carl Troein and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Richard Adams and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Jonathan Massheder and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Rob Smith and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Martin Beaton and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Maria-Luisa Guerriero and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Alexandra Pokhilko and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Daniel Seaton and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Chris Davey and automatically transferred to FAIRDOM Hub.

Collection of models submitted to PLaSMo by Robert Muetzelfeldt and automatically transferred to FAIRDOM Hub.

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.

Simulations, parameter sensitivity analysis etc. for FMv2

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)

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)

Follow-up to the validation experiments on FMv2, testing candidate mechanisms for high malate and fumarate accumulation in the Arabidopsis double mutant prr7prr9 and its parent accession Col. New collaborations with the groups of Teresa Fitzpatrick and TiMet partner Samuel Zeeman.

Assorted files prepared during the publication process of the FMv2, its validation and testing, mostly focussed on the Arabidopsis double mutant prr7prr9 and its parent accession Col. Data from other studies that are described separately, and linked by Atribution to the File records under this Study.

Collection of models used in the introduction of absolute units into A. thaliana circadian clock models, with software resources and documentation. The models are inspired by P2011, published in Pokhilko et al 2012. The study contains Assays that link to the P2011 starting model and the models U2019.1 - .3 and U2020.1 - .3. Each model is shared as a human-readable file in the Antimony language and the associated, machine-readable SBML file, which was automatically generated using the SBML export ...

The P2011 model (linked in the Assay below) was rescaled to match TiMet RNA data in clock mutants from Flis et al. 2015, also linked here as separate mean and SD files. The raw TiMet data is available elsewhere on FAIRDOMHub.

The model is an extensio of PLM_67v3 with an additional an additional variable Temp in ODE 25. This change allows to simulated warm pulses that affect EC stability using COPASI. 

Originally submitted to PLaSMo on 2014-03-10 13:16:25

Model that eliminates several light inputs. RVE8, NOX are incorporated. Individual representation of CCA1 and LHY. Several changes in conections and light inputs. Fogelmark reports eight parameter sets. This SBML file contains the first parameter set Related PublicationsFogelmark K, Troein C (2014). Rethinking transcriptional activation in the Arabidopsis circadian clock.. PLoS Comput Biology. Retrieved from: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003705Originally ...

Assays for model composition here, in order to share model files; potentially training and validation data in other Studies.

This is the SimileXML for the Salazar2009_FloweringPhotoperiod model in PlaSMo. It corresponds to Model 3 in the publication of Salazar et al 2009. The Simile version of this model is also attached here. Instructions to run the Photoperiodism Model in Simile 1.       Save all the files into the same folder. 2.       Copy and paste the attached ‘lightfunction.pl’ file in the following folder:            Program File > Simile6.0 (or other software version)> Functions 3.       Download the ...

This is the SimileXML for the Salazar model linked to the T6P/TPS pathway (Wahl et al. Science 2013). The Simile version of this model and the parameter file are also attached here. Time series data of T6P and FT mRNA for Col wild type and tps1 mutant from Fig. 1 in Wahl et al were used to re-optimise Bco, KCO, kT6P and vT6P (which replaces VCO). Note: This set of parameter values has only been optimised and tested for a 16:8 light:dark cycle, and the initial values in the Simile model are for ...

This is part of the GreenLab Functional-Structural Plant Model for Arabidopsis published in Christophe et al 2008. This model was re-factored, to facilitate the integration in the Chew et al Framework Model, and it cannot be run as a standalone model.  Related PublicationsAngélique Christophe A E, Véronique Letort B, Irène Hummel A, Paul-Henry Cournède B, Philippe de Reffye C, Jérémie Lecœur (2008). A model-based analysis of the dynamics of carbon balance at the whole-plant level in Arabidopsis ...

This is the Framework Model (Chew et al, PNAS 2014; http://www.pnas.org/content/early/2014/08/27/1410238111) that links the following: 1. Arabidopsis leaf carbohydrate model (Rasse and Tocquin) - Carbon Dynamic Model 2. Part of the Christophe et al 2008 Functional-Structural Plant Model 3. Chew et al 2012 Photothermal Model 4. Salazar et al 2009 Photoperiodism Model   To run the model in Simile, please download the Evaluation Edition of the software from http://www.simulistics.com/products/simile.php ...

This is a photothermal model for Arabidopsis that predicts flowering time, published in Chew et al (2012). It is an improved version of the model in Wilczek et al (Science 2009). A Simile version of the model is attached. Instructions to run the Photothermal Model in Simile 1.       Download the Simile file attached or import the XML into Simile:            a.       File > Import > XML Model Description 2.       To run the model:            a.       Model > Run or click on the ‘Play’ ...

Metabolite analysis in clock mutants: Col-0 parent and mutants gi-201, toc1-101 and prr7prr9; WS parent and lhy/cca1 double mutant. Plants grown in Golm and harvested at End of Day and End of Night, , assays 22 major metabolites. More detail on TiMet wiki if required. Heteroscedastic t-tests to highlight most significant changes, without multiple-testing correction.

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

RNA timeseries data from TiMet for clock genes in prr7 prr9 and Col wild-type plants under 12L:12D cycle and LL

effects of 1% increase in each parameter, more detailed analysis of water content

correlations of starch mobilisation and fresh weight under single parameter changes

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

Comparison of simulated wild-type and prr7prr9 double mutant under 12L:12D cycles. Simulation with CVODE simulator via SBSI v1.5 framework.

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.

RNA timeseries data for Arabidopsis Col wild-type plants and clock mutants, as separate mean and SD files. The raw data is available on BioDare.ed.ac.uk, and is linked as 'Attribution' from elsewhere on FAIRDOMHub.

The starting models are included here in their original forms, the P2011 model as an SBML L3V1 model file, and the KF2014 model of Fogelmark et al. shared as SBML; both prepared by Uriel Urquiza.

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

Analysis of carbon metabolites in clock mutants by Anna Flis and Ronan Sulpice, Mark Stitt lab

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 ...

Excel workbook with included Read.Me sheet, including FW and DW biomass data derived from files linked elsewhere; a compilation of the rosette area and gas exchange data for every plant measured of the Col, lsf1 and prr7prr9 genotypes; statistical analysis across the experiments; and charts of the compiled data, some of which are presented as figure panels in the 2022 versions.

Biomass data for individual plants at day 35, fresh and dry weights, as well as mean and SD, from study Gibberellins 1

Excel sheet with mean and SD biomass data and charts, individual metabolite replicates, mean, SD and charts Details on Read.ME worksheet

14CO2 assimilation in the night-time, in plants of Col, prr7prr9; Ws, lhycca1 genotypes at 18 and 28 days, and partitioning among cellular fractions.

Excel file with data on levels of thiamine and its metabolites TMP and active cofactor TDP, tested in Col and prr7prr9 samples from study Laurel and Hardy 3. Altered levels of TDP could potentially affect enzymes with TDP cofactors that metabolise malate and fumarate levels, altering their levels in prr7prr9.

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 ...

For Chew, Seaton et al. Figure 1

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).

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. ...

Originally submitted model file for PLaSMo accession ID PLM_1030, version 1

Model derived from U2019.2, fitted to TiMet data mutants data set. Fixed parameters are scaling factors, COP1 and cP parameters. The rest of the parameters were left optimisable. The networks used in the fitting include WT, lhycca1, prr79, toc1, gi and ztl. The ztl network was only used for fixing the period in this mutant. Then final parameter values for transcription rated were obtained by taking the product of scaling factor and either transcription or translation, the latter required for ...

Model derived from U2019.1 in which the transcription rates were rescaled to match the scale of TiMet data set for absolute units of RNA concentration. The gmX scaling parameters in the model were fitted numerically. This model has equivalent dynamics to P2011.1.2.

Model derived from U2020.2, fitted to the TiMet RNA data for wild-type and clock mutants. Fixed parameters are scaling factors, COP1 and cP parameters. The rest of the parameters were left optimisable. The networks used in the fitting include WT, lhycca1, prr79, toc1, gi and ztl. The ztl network was only used for fixing the period in this mutant. Then final parameter values for transcription rates were obtained by taking the product of scaling factor and either transcription or translation, the ...

Model derived from U2020.1 by fitting the scaling factors for matching TiMet data set for wild-type and clock mutants, in absolute units.

Model derived from U2019.1, in which the way the PRR genes are regulated is modified. Repression mechanism introduced Instead of activation between the PRRs for producing the wave of expression. This is inspired in the result of three models P2012, F2014 and F2016. P2012 introduced TOC1 repression in earlier genes relative to its expression. F2014 introduced also the backward repression of PRR9 |-- PRR7 |--- PRR5, TOC1. However little attention was given to why there is a sharper expression ...

Model written in Antimony human-readable language and then translate into SBML using Tellurium

Model written in Antimony human-readable language, Model used in Pokhilko et al 2012

autogenerated equation listing from the SBML of U2020.3, as a .PDF file

autogenerated equation listing from the SBML of U2019.3, as a .PDF file

U2019.3 that simulates light condition with ISSF

U2020.2 that simulates light condition with ISSF