Microarray data can predict diurnal changes of starch content in the picoalga Ostreococcus |
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| Authors: | Oksana Sorokina Florence Corellou David Dauvillée Anatoly Sorokin Igor Goryanin Steven Ball François-Yves Bouget Andrew J Millar |
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| Affiliation: | 1.School of Biological Sciences, The University of Edinburgh King's Buildings,Edinburgh,UK;2.UPMC Univ Paris 06, UMR7621 LOMIC. Observatoire Océanologique,Banyuls/mer,France;3.CNRS, UMR7621 LOMIC. Observatoire Océanologique,Banyuls/mer,France;4.UGSF, UMR 8576 CNRS, USTL, Univ Lille Nord de France,Villeneuve d'Ascq,France;5.>School of Informatics, Informatics Forum, The University of Edinburgh,Edinburgh,UK;6.Centre for Systems Biology,Edinburgh,UK;7.Institute of Cell Biophysics RAS,Pushchino,Russia |
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| Abstract: | Background The storage of photosynthetic carbohydrate products such as starch is subject to complex regulation, effected at both transcriptional and post-translational levels. The relevant genes in plants show pronounced daily regulation. Their temporal RNA expression profiles, however, do not predict the dynamics of metabolite levels, due to the divergence of enzyme activity from the RNA profiles. |
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