Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2)

This upload contains or links to the biological 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 testing and simulating the effect of a slow circadian clock in the prr7prr9 double mutant compared to the Col wild type plants, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92. Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including pgm, lhy cca1, and in one case, toc1 and gi. This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare. We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.

This upload contains or links to the biological 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 testing and simulating the effect of a slow circadian clock in the prr7prr9 double mutant compared to the Col wild type plants, with controls in lsf1 and prr7 single mutants. Effects tested comprise gene expression, hypocotyl elongation, flowering time, major carbon metabolite levels, gas exchange and growth in terms of leaf number, area and biomass.

This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92.

Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including pgm, lhy cca1, and in one case, toc1 and gi.

This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and Zenodo.

We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub. CC-0 was not available on Zenodo or DataShare.

Chew, Yin Hoon; Seaton, Daniel D.; Mengin, Virginie; Flis, Anna; Mugford, Sam T.; George, Gavin M.; Moulin, Michael; Hume, Alastair; Zeeman, Samuel C.; Fitzpatrick, Teresa B.; Smith, Alison M.; Stitt, Mark; Millar, Andrew J.. (2022). Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2), [dataset]. School of Biological Sciences. https://doi.org/10.7488/ds/3453.