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PMID: 19888209 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Ribosome and transcript copy numbers, polysome occupancy and enzyme dynamics in Arabidopsis.

Molecular systems biology ·Vol. 5 ·2009-00-00 ·Pages 314

Piques M, Schulze WX, Höhne M, Usadel B, Gibon Y, Rohwer J, Stitt M

Abstract

Plants are exposed to continual changes in the environment. The daily alternation between light and darkness results in massive recurring changes in the carbon budget, and leads to widespread changes in transcript levels. These diurnal changes are superimposed on slower changes in the environment. Quantitative molecular information about the numbers of ribosomes, of transcripts for 35 enzymes in central metabolism and their loading into polysomes is used to estimate translation rates in Arabidopsis rosettes, and explore the consequences for important sub-processes in plant growth. Translation rates for individual enzyme are compared with their abundance in the rosette to predict which enzymes are subject to rapid turnover every day, and which are synthesized at rates that would allow only slow adjustments to sustained changes of the environment, or resemble those needed to support the observed rate of growth. Global translation rates are used to estimate the energy costs of protein synthesis and relate them to the plant carbon budget, in particular the rates of starch degradation and respiration at night.

MeSH Terms
Arabidopsis/enzymology,genetics,growth & development Arabidopsis Proteins/biosynthesis,genetics Circadian Rhythm/genetics Codon/genetics Darkness Gene Dosage/genetics Gene Expression Regulation, Plant Plant Leaves/enzymology,genetics Polyribosomes/metabolism Protein Biosynthesis RNA, Messenger/genetics,metabolism Subcellular Fractions/metabolism
Chemicals
Arabidopsis Proteins Codon RNA, Messenger
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Piques Maria
Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm, Germany.
Schulze Waltraud X
Höhne Melanie
Usadel Björn
Gibon Yves
Rohwer Johann
Stitt Mark
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Article Info
Journal
Molecular systems biology
Abbr.
Mol Syst Biol
ISSN
1744-4292
DOI
10.1038/msb.2009.68
Published
2009-00-00
Epub
2009-00-13
Pages
314
Language
English
Region
England
NLM ID
101235389
PMCID
PMC2779082
Subset
IM
External Links
PubMed source DOI: 10.1038/msb.2009.68 PMC Full Text View journal details
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