Literature DB >> 24413396

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

Alexandra Pokhilko1, 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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Year:  2014        PMID: 24413396     DOI: 10.1039/c3mb70459a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  22 in total

Review 1.  Integrating circadian dynamics with physiological processes in plants.

Authors:  Kathleen Greenham; C Robertson McClung
Journal:  Nat Rev Genet       Date:  2015-09-15       Impact factor: 53.242

Review 2.  How plants manage food reserves at night: quantitative models and open questions.

Authors:  Antonio Scialdone; Martin Howard
Journal:  Front Plant Sci       Date:  2015-03-31       Impact factor: 5.753

3.  Mathematical modelling of diurnal regulation of carbohydrate allocation by osmo-related processes in plants.

Authors:  Alexandra Pokhilko; Oliver Ebenhöh
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.118

4.  A Strategy for Functional Interpretation of Metabolomic Time Series Data in Context of Metabolic Network Information.

Authors:  Thomas Nägele; Lisa Fürtauer; Matthias Nagler; Jakob Weiszmann; Wolfram Weckwerth
Journal:  Front Mol Biosci       Date:  2016-03-07

Review 5.  The Importance of the Circadian Clock in Regulating Plant Metabolism.

Authors:  Jin A Kim; Hyun-Soon Kim; Seo-Hwa Choi; Ji-Young Jang; Mi-Jeong Jeong; Soo In Lee
Journal:  Int J Mol Sci       Date:  2017-12-11       Impact factor: 5.923

Review 6.  Effects of Elevated Carbon Dioxide on Photosynthesis and Carbon Partitioning: A Perspective on Root Sugar Sensing and Hormonal Crosstalk.

Authors:  Michael Thompson; Dananjali Gamage; Naoki Hirotsu; Anke Martin; Saman Seneweera
Journal:  Front Physiol       Date:  2017-08-08       Impact factor: 4.566

7.  Biotechnological Potential of Cephalaria uralensis (Murray) Roem. & Schult. and C. gigantea (Ledeb.) Bobrov-Comparative Analysis of Plant Anatomy and the Content of Biologically Active Substances.

Authors:  Małgorzata Chrząszcz; Katarzyna Szewczyk; Dorota Tchórzewska
Journal:  Plants (Basel)       Date:  2021-05-15

8.  The relationship between leaf area growth and biomass accumulation in Arabidopsis thaliana.

Authors:  Sarathi M Weraduwage; Jin Chen; Fransisca C Anozie; Alejandro Morales; Sean E Weise; Thomas D Sharkey
Journal:  Front Plant Sci       Date:  2015-04-09       Impact factor: 5.753

9.  Approximating the stabilization of cellular metabolism by compartmentalization.

Authors:  Lisa Fürtauer; Thomas Nägele
Journal:  Theory Biosci       Date:  2016-04-05       Impact factor: 1.919

10.  Multiscale digital Arabidopsis predicts individual organ and whole-organism growth.

Authors:  Yin Hoon Chew; Bénédicte Wenden; Anna Flis; Virginie Mengin; Jasper Taylor; Christopher L Davey; Christopher Tindal; Howard Thomas; Helen J Ougham; Philippe de Reffye; Mark Stitt; Mathew Williams; Robert Muetzelfeldt; Karen J Halliday; Andrew J Millar
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-02       Impact factor: 11.205

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