Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism
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BiBTeXbioRxiv preprint 2017 Plants respond to seasonal cues such as the photoperiod, to adapt to current conditions and to prepare for environmental changes in the season to come. To assess photoperiodic responses at the protein level, we quantified the proteome of the model plant Arabidopsis thaliana by mass spectrometry across four photoperiods. This revealed coordinated changes of abundance in proteins of photosynthesis, primary and secondary metabolism, including pigment biosynthesis, consistent with higher metabolic activity in long photoperiods. Higher translation rates in the day time than the night likely contribute to these changes via rhythmic changes in RNA abundance. Photoperiodic control of protein levels might be greatest only if high translation rates coincide with high transcript levels in some photoperiods. We term this proposed mechanism ‘translational coincidence’, mathematically model its components, and demonstrate its effect on the Arabidopsis proteome. Datasets from a green alga and a cyanobacterium suggest that translational coincidence contributes to seasonal control of the proteome in many phototrophic organisms. This may explain why many transcripts but not their cognate proteins exhibit diurnal rhythms.
SEEK ID: https://fairdomhub.org/publications/349
DOI: 10.1101/182071
Projects: Millar group
Publication type: Not specified
Citation: Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism
Date Published: No date defined
Registered Mode: Not specified
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Created: 16th Nov 2017 at 12:06
Last updated: 8th Dec 2022 at 17:26
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Projects: Millar group, TiMet, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, POP - the Parameter Optimisation Problem, Regulation of flowering time in natural conditions, PlaSMo model repository
Institutions: University of Edinburgh
https://orcid.org/0000-0003-1756-3654
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).
Projects: Millar group, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, TiMet, POP - the Parameter Optimisation Problem, Regulation of flowering time in natural conditions, PlaSMo model repository
Web page: http://www.synthsys.ed.ac.uk
Andrew Millar's research group, University of Edinburgh
Programme: SynthSys
Public web page: http://www.amillar.org
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.
Submitter: Andrew Millar
Studies: Modelling and analysis of translational coincidence, Photoperiod-specific proteome data for Arabidopsis, Proteome and translation rate data for the Ostreococcus alga and for cya..., Rhythmic and photoperiod-specific transcriptome datasets for Arabidopsis
Assays: Aryal et al, 2011, metabolic labelling of Cyanothece protein synthesis, Blasing et al, 2005, diurnal microarray in 12L:12D, Estimation of rates of translation and turnover from proteomics datasets, Martin et al, 2012, Ostreococcus N15 labelling proteomics data, Photoperiod proteomics, Stitt lab, TiMet photoperiod microarrays, Translational coincidence model
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 ...
Submitter: Daniel Seaton
Assay type: Protein Quantification
Technology type: Mass Spectrometry
Investigation: Photoperiodic control of the Arabidopsis proteo...
Data curation notes provided by Alex Graf via Willi Gruissem, in addition to the PRIDE deposition.
The Excel file gives the list of samples uploaded into PRIDE. here - https://fairdomhub.org/data_files/3704
The published experimental design might lead one to expect 4x3x2x7 = 168 samples. There are more than 168 samples in the PRIDE upload for the following reasons:
First, all of the measurements from the experiment had been uploaded, including files for measurements that were repeated because of ...
Creators: Andrew Millar, Alexander Graf, Katja Baerenfaller, Willi Gruissem
Submitter: Andrew Millar
External Link
This Excel file lists the samples uploaded in PRIDE. The table “Table Sorted PP and Replicates” in the Excel file has all the relevant annotation.
There are more than the expected 168 samples in the PRIDE upload for the following reasons:
First, all of the measurements from the experiment had been uploaded, including files for measurements that were repeated because of problems during the MS run. These samples are not annotated in the table. Second, we had included 4 Gold Standard samples (2 ...
Creators: Alexander Graf, Katja Baerenfaller, Willi Gruissem
Submitter: Andrew Millar
Mean and standard deviation of protein abundances in 6h, 8h, 12h, and 18h photoperiods.
Creators: Daniel Seaton, Andrew Millar
Submitter: Daniel Seaton
Results of the statistical analysis, identifying proteins that change in abundance significantly across photoperiods.
Creators: Daniel Seaton, Andrew Millar
Submitter: Daniel Seaton
