Absolute units in Arabidopsis clock models up to U2020.3

SynthSys is the University of Edinburgh's research organisation in interdisciplinary, Synthetic and Systems Biology, founded in 2012 as the successor to the Centre for Systems Biology at Edinburgh (CSBE).

Andrew Millar's research group, University of Edinburgh

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.

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.

P2011.1.2 written in Antimony and converted in SBML using python package Tellurium. Parameters values correspond to P2011.1.2

This section contains the links to the tools used for reproducing the computational results presented in U2019. This is required because SloppyCell is under the risk of becoming rotting code. Using Docker we can assure some persistence for the computational environment that allows to run SloppyCell.

The associated git repository can be found in https://github.com/jurquiza/Urquiza2019a.git which can be cloned.

The docker image can either be pulled from the docker hub site

docker pull ...

Collection of clock models that rescale transcript variables to account for absolute units. The relationship between models is summarised in the attached 'model evolution' document and in more detail in the linked publications (preprint version linked in the Snapshot; publication Urquiza and Millar, In Silico Plants 2021 did not have a DOI when Snapshot was created).

Each model is presented three times,

• • without a light:dark cycle,
• • with an ISSF (Adams et al. JBR 2012) that is set up for ...

SD values of clock gene RNA data in absolute units of RNA copies per cell (calculated from copies per gFW, / 25 million cells/gFW) from TiMet WP1.1, RNA dataset ros (from rosettes). Note the Col data are from WP1.1, not substituted with Col from the LD12:12 of the WP1.2 photoperiod data set, as they were in Flis et al. 2015. Note also that cL_m in these data is taken from CCA1 only, not the average of CCA1 and LHY as in the data sets used for optimisation of P2011.2.1 in Flis et al. 2015.

The ...

Mean values of clock gene RNA data in absolute units of RNA copies per cell (calculated from copies per gFW, / 25 million cells/gFW) from TiMet WP1.1, RNA dataset ros (from rosettes). Note the Col data are from WP1.1, not substituted with Col from the LD12:12 of the WP1.2 photoperiod data set, as they were in Flis et al. 2015. Note also that cL_m in these data is taken from CCA1 only, not the average of CCA1 and LHY as in the data sets used for optimisation of P2011.2.1 in Flis et al. 2015.

The ...

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

U2019.1 that simulates light condition with ISSF

U2019.3 that simulates light condition with ISSF

Listing of parameter values, identical to Supplementary Table 2 of the preprint and publication.

This file contains the dependencies required for running SloppyCell and Tellurium together using Jupyter notebooks. It can be used to create a Docker image by executing the command

docker build user/image:version .

The image used for the project can be pulled from Docker hub by typing

docker pull uurquiza/urquiza2019a_tellurium_sloppycell:latest

Contains the summary of model evolution for the Arabidopsis clock in absolute units. In these process two alternative architectures were proposed and fitted to Flis A et al 2015 Open Biology.