Arabidopsis thaliana

Model files for FMv1.5. The model is based on FMv1 of Chew et al. PNAS 2014, which is also in FAIRDOMHub and linked to the Model record as an 'Attribution'. FMv1 was extended in this work by Hannah Kinmonth-Schultz and Daniel Seaton, in Matlab.

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
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The models in this record were published in Flis et al. Royal Society Open Biology 2015. They will be submitted to Biomodels when we have a PubMed ID for the paper.

Original model: Arabidopsis clock model P2011.1.1 from Pokhilko et al. Mol Syst. Biol. 2012, http://dx.doi.org/10.1038/msb.2012.6

Published version is Biomodels ID 00412, http://www.ebi.ac.uk/compneur-srv/biomodels-main/BIOMD0000000412
Also public in Plasmo as PLM_64, with several versions, http://www.plasmo.ed.ac.uk/plasmo/models/model.shtml?accession=PLM_64
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The models in this record were published in Flis et al. Royal Society Open Biology 2015. They will be submitted to Biomodels when we have a PubMed ID for the paper.

Original model: Arabidopsis clock model P2011.1.1 from Pokhilko et al. Mol Syst. Biol. 2012, http://dx.doi.org/10.1038/msb.2012.6

Published version is Biomodels ID 00412, http://www.ebi.ac.uk/compneur-srv/biomodels-main/BIOMD0000000412
Also public in Plasmo as PLM_64, with several versions, http://www.plasmo.ed.ac.uk/plasmo/models/model.shtml?accession=PLM_64
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This model is termed P2011 and derives from the article: The clock gene circuit in Arabidopsis includes a repressilator with additional feedback loops. Alexandra Pokhilko, Aurora Piñas Fernández, Kieron D Edwards, Megan M Southern, Karen J Halliday & Andrew J Millar Mol. Syst. Biol. 2012; 8: 574, submitted 9 Aug 2011 and published 6 March 2012. Link Link to Supplementary Information, including equations. Minor errors in the published Supplementary Information are described in a file attached
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Data for Figure 2I-2K in Chew et al. PNAS 2014.
Experimental conditions: ∼21.3 °C; 12:12-h light/dark cycle; light intensity, 110 μmol·m−2·s−1;mean daytime CO2 level, 375 ppm. The error bars show the SEs of five plants
Further detail on the experimental conditions is contained in the public record on the BioDare resource, link to follow

Data for Figure 3G and Supplementary Figure 4, including gas exchange measurements and photo of the experimental setup. The 'Summary' sheets in the XLSX files often include published graphs. Simulation data are included from FMv1.

These data were acquired in a separate experiment from the biomass, in March 2013. Replication of the earlier biomass study was imperfect, as some plants became a little dry when watering was controlled to reduce moss growth. Sufficient plants grew strongly to measure
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Data for Figure 3G and Supplementary Figure 4, including gas exchange measurements and photo of the experimental setup. The 'Summary' sheets in the XLSX files often include published graphs. Simulation data are included from FMv1.

These data were acquired in a separate experiment from the biomass, in March 2013. Replication of the earlier biomass study was imperfect, as some plants became a little dry when watering was controlled to reduce moss growth. Sufficient plants grew strongly to measure
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Data for Figure 3A-3F and Supplementary Figures 2, 3, and 6, including leaf number, biomass and leaf areas. Image data for leaf areas are included in a .ZIP archive. The 'Summary' sheets in the XLSX files often include published graphs. Simulation data are included from FMv1.
These data were acquired in June 2012.
Experimental conditions: ~22C constant temperature; 12:12-h light/dark cycle; light intensity = 130 μmol·m−2·s−1; average daytime CO2 concentration = 375 ppm. 10 plants per genotype per
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Data for Figure 3A-3F and Supplementary Figures 2, 3, and 6, including leaf number, biomass and leaf areas. Image data for leaf areas are included in a .ZIP archive. The 'Summary' sheets in the XLSX files often include published graphs. Simulation data are included from FMv1.
These data were acquired in June 2012.
Experimental conditions: ~22C constant temperature; 12:12-h light/dark cycle; light intensity = 130 μmol·m−2·s−1; average daytime CO2 concentration = 375 ppm. 10 plants per genotype per
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Data for Figures 5D-5F and Supplementary Figure 7B, 7C, including biomass and leaf areas. Image data for leaf areas are included in a .ZIP archive, with two samples as published in 5D. The 'Summary' sheets in the XLSX files include published graphs. Simulation data are included from FMv1.
These data were acquired in April 2014, in a separate experiment from the La(er) and Fei-0.
Experimental conditions: ∼20.7 °C constant temperature; 12h:12h light/dark cycle; light intensity = 100μmol·m−2·s−1;
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Data for Figures 5D-5F and Supplementary Figure 7B, 7C, including biomass and leaf areas. Image data for leaf areas are included in a .ZIP archive, with two samples as published in 5D. The 'Summary' sheets in the XLSX files include published graphs. Simulation data are included from FMv1.
These data were acquired in April 2014, in a separate experiment from the La(er) and Fei-0.
Experimental conditions: ∼20.7 °C constant temperature; 12h:12h light/dark cycle; light intensity = 100μmol·m−2·s−1;
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Data for Figure 4, from the prior publication of Sulpice et al. Mol. Plant 2014: Biomass, net growth and starch levels at end of day and end of night, under light:dark cycles of 4:20, 6:18, 8:16, 12:12 and 18:6 hours.

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.

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.

The multi-compartmental metabolic network of Arabidopsis thaliana was reconstructed and optimized in order to explain growth stoichiometry of the plant both in light and in dark conditions. Balances and turnover of energy (ATP/ADP) and redox (NAD(P)H/NAD(P)) metabolites as well as proton in different compartments were estimated. The model showed that in light conditions, the plastid ATP balance depended on the relationship between fluxes through photorespiration and photosynthesis including both
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Model associated with the following:

Hannah A Kinmonth-Schultz, Melissa J S MacEwen, Daniel D Seaton, Andrew J Millar, Takato Imaizumi, Soo-Hyung Kim, An explanatory model of temperature influence on flowering through whole-plant accumulation of FLOWERING LOCUS T in Arabidopsis thaliana, in silico Plants, Volume 1, Issue 1, 2019, diz006, https://doi.org/10.1093/insilicoplants/diz006

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
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Simplified model file for PLaSMo accession ID PLM_71, version 2 (use simplified if your software cannot read the file, e.g. Sloppy Cell)

Originally submitted model file for PLaSMo accession ID PLM_71, version 2

Simplified model file for PLaSMo accession ID PLM_71, version 1 (use simplified if your software cannot read the file, e.g. Sloppy Cell)

Originally submitted model file for PLaSMo accession ID PLM_71, version 1

Originally submitted model file for PLaSMo accession ID PLM_1041, version 1

Simplified model file for PLaSMo accession ID PLM_1041, version 1 (use simplified if your software cannot read the file, e.g. Sloppy Cell)

Arabidopsis clock model P2011.6.1 SBML imported into Copasi 4.8 and saved as native Copasi file.

The P2011.3.1 SBML model imported into Copasi v4.8, saved as native Copasi file

Originally submitted model file for PLaSMo accession ID PLM_73, version 1

Originally submitted model file for PLaSMo accession ID PLM_75, version 1

Originally submitted model file for PLaSMo accession ID PLM_74, version 1

Originally submitted model file for PLaSMo accession ID PLM_76, version 1

This record includes Matlab and Simile format versions of the Arabidopsis Framework Model version 1, FMv1 (Chew et al, PNAS 2014; http://www.pnas.org/content/early/2014/08/27/1410238111), copied from the PlaSMo resource (www.plasmo.ed.ac.uk), PLM_ID=76. The model description is in the Supplementary Materials of the publication, which should be uploaded somewhere here also but I don't see how to do it.

The FMv1 links the following sub-models:
1. Arabidopsis leaf carbohydrate model (Rasse and
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Exactly the same as model 243, but uploaded as a file rather than copied from PlaSMo.

This version is P2011.1.2, model ID PLM_71 version 1. Dynamics identical to P2011.1.1 of the Pokhilko et al. 2012 publication.

http://www.plasmo.ed.ac.uk/plasmo/models/download.shtml?accession=PLM_71&version=1

The model presents a multi-compartmental (mesophyll, phloem and root) metabolic model of growing Arabidopsis thaliana. The flux balance analysis (FBA) of the model quantifies: sugar metabolism, central carbon and nitrogen metabolism, energy and redox metabolism, proton turnover, sucrose translocation from mesophyll to root and biomass growth under both dark- and light-growth conditions with corresponding growth either on starch (in darkness) or on CO2 (under light). The FBA predicts that
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