Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism

Abstract:

bioRxiv 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

Authors: Daniel Seaton, Alexander Graf, Katja Baerenfaller, Mark Stitt, Andrew Millar, Wilhelm Gruissem

help Submitter
Citation
Seaton, D. D., Graf, A., Baerenfaller, K., Stitt, M., Millar, A. J., & Gruissem, W. (2017). Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism. In []. Cold Spring Harbor Laboratory. https://doi.org/10.1101/182071
Activity

Views: 4515

Created: 16th Nov 2017 at 12:06

Last updated: 8th Dec 2022 at 17:26

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH