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Adjustment of carbon fluxes to light conditions regulates the daily turnover of starch in plants: a computational model

Overview of attention for article published in Molecular BioSystems, January 2014
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Title
Adjustment of carbon fluxes to light conditions regulates the daily turnover of starch in plants: a computational model
Published in
Molecular BioSystems, January 2014
DOI 10.1039/c3mb70459a
Pubmed ID
Authors

Alexandra Pokhilko, Anna Flis, Ronan Sulpice, Mark Stitt, Oliver Ebenhöh

Abstract

In the light, photosynthesis provides carbon for metabolism and growth. In the dark, plant growth depends on carbon reserves that were accumulated during previous light periods. Many plants accumulate part of their newly-fixed carbon as starch in their leaves in the day and remobilise it to support metabolism and growth at night. The daily rhythms of starch accumulation and degradation are dynamically adjusted to the changing light conditions such that starch is almost but not totally exhausted at dawn. This requires the allocation of a larger proportion of the newly fixed carbon to starch under low carbon conditions, and the use of information about the carbon status at the end of the light period and the length of the night to pace the rate of starch degradation. This regulation occurs in a circadian clock-dependent manner, through unknown mechanisms. We use mathematical modelling to explore possible diurnal mechanisms regulating the starch level. Our model combines the main reactions of carbon fixation, starch and sucrose synthesis, starch degradation and consumption of carbon by sink tissues. To describe the dynamic adjustment of starch to daily conditions, we introduce diurnal regulators of carbon fluxes, which modulate the activities of the key steps of starch metabolism. The sensing of the diurnal conditions is mediated in our model by the timer α and the "dark sensor"β, which integrate daily information about the light conditions and time of the day through the circadian clock. Our data identify the β subunit of SnRK1 kinase as a good candidate for the role of the dark-accumulated component β of our model. The developed novel approach for understanding starch kinetics through diurnal metabolic and circadian sensors allowed us to explain starch time-courses in plants and predict the kinetics of the proposed diurnal regulators under various genetic and environmental perturbations.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 2 2%
Iran, Islamic Republic of 1 1%
Singapore 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Researcher 25 25%
Professor 8 8%
Student > Bachelor 8 8%
Student > Master 7 7%
Other 17 17%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 55%
Biochemistry, Genetics and Molecular Biology 20 20%
Engineering 2 2%
Unspecified 1 1%
Mathematics 1 1%
Other 6 6%
Unknown 15 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2014.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Molecular BioSystems
#1,287
of 1,765 outputs
Outputs of similar age
#243,184
of 319,271 outputs
Outputs of similar age from Molecular BioSystems
#79
of 137 outputs
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