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

The Arabidopsis Framework Model version 2 predicts the organism-level effects of circadian clock gene mis-regulation
Authors: Chew, Yin Hoon; Seaton, Daniel D.; Mengin, Virginie; Flis, Anna; Mugford, Sam T.; George, Gavin M.; Moulin, Michael; +6 Authors

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

Abstract

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.

This data archive is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. It is a single .ZIP format file, with internal directories that follow the Investigation/Study/Assay (ISA) hierarchy of FairdomHub and metadata on each level in JSON and RDF files, linked to Data and Model files. Further detail is provided in the ReadMe.txt file and the .PNG image of the ISA hierarchy.

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Keywords

plant growth models, plant metabolism, flowering, Arabidopsis thaliana, circadian rhythms, Biological Sciences::Molecular Biology Biophysics and Biochemistry, systems biology, plant development, mathematical modelling, gene regulatory networks, biological clocks, plant growth regulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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