Microarray data can predict diurnal changes of starch content in the picoalga Ostreococcus

Sorokina, Oksana; Corellou, Florence; Dauvillée, David; Sorokin, Anatoly; Goryanin, Igor; Ball, Steven; Bouget, François‐Yves; Millar, Andrew J.

doi:10.1186/1752-0509-5-36

Cited by 38 publications

(37 citation statements)

References 52 publications

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“…Sorokina et al (2011) have proposed a modeling approach integrating data from microarray analysis with a stoichiometric reconstruction of starch metabolism in O. tauri for the purpose of predicting the dynamics of the starch content in the light/dark cycle . In addition, after performing an in silico experiment of gene deletion they have described the contribution of each starch metabolism enzyme for the glucan storage profile.…”

Section: Genomes: Sequenced Strains and Genomic Studiesmentioning

confidence: 99%

Starch metabolism in green algae

et al. 2013

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Starch plays a central role in the life cycle as one of the principal sources of chemical energy. This polysaccharide accumulates in plastids in green algae and land plants, and both organisms have acquired various enzyme isoforms for each step of the metabolic pathway. Eukaryotic green microalgae present the critical photosynthetic functions as higher plants. However, due to the small size of their genome, gene redundancy is decreased, a feature that makes them an excellent model for investigating the properties of photosynthetic physiology. In the last decade, there has been an increasing demand for starch in many industrial processes, such as food, pharmaceutical, and bioethanol production. Thus, a better understanding of starch biosynthesis, in particular the structure-function relationship and regulatory properties of the enzymes involved in its production may provide a powerful tool for the planning of new strategies to increase plant biomass, as well as to improve the quality and quantity of this polymer.

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Section: Genomes: Sequenced Strains and Genomic Studiesmentioning

confidence: 99%

Starch metabolism in green algae

et al. 2013

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“…Apart from the regulation of biological processes, both the yield and the composition of algal biomass are dependent on environmental light conditions. For example, starch synthesis and degradation in the marine microalga Ostreococcus tauri showed a diurnal pattern with maximum starch content obtained towards the end of the day when cultured under a 12 h light/12 h dark cycle (Sorokina et al., 2011). …”

Section: Introductionmentioning

confidence: 99%

The influence of photoperiod and light intensity on the growth and photosynthesis of Dunaliella salina (chlorophyta) CCAP 19/30

Ibrahim

Harvey

2016

Plant Physiology and Biochemistry

136

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The green microalga Dunaliella salina survives in a wide range of salinities via mechanisms involving glycerol synthesis and degradation and is exploited for large amounts of nutraceutical carotenoids produced under stressed conditions. In this study, D. salina CCAP 19/30 was cultured in varying photoperiods and light intensities to study the relationship of light with different growth measurement parameters, with cellular contents of glycerol, starch and carotenoids, and with photosynthesis and respiration. Results show CCAP 19/30 regulated cell volume when growing under light/dark cycles: cell volume increased in the light and decreased in the dark, and these changes corresponded to changes in cellular glycerol content. The decrease in cell volume in the dark was independent of cell division and biological clock and was regulated by the photoperiod of the light/dark cycle. When the light intensity was increased to above 1000 μmol photons m−2 s−1, cells displayed evidence of photodamage. However, these cells also maintained the maximum level of photosynthesis efficiency and respiration possible, and the growth rate increased as light intensity increased. Significantly, the intracellular glycerol content also increased, >2-fold compared to the content in light intensity of 500 μmol photons m−2 s−1, but there was no commensurate increase in the pool size of carotenoids. These data suggest that in CCAP 19/30 glycerol stabilized the photosynthetic apparatus for maximum performance in high light intensities, a role normally attributed to carotenoids.

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“…[37] used an integrated approach to characterize phenotypes of Yersinia pestis under temperature changes which induce virulence and under antibiotic stress. [53] predicted starch content through time in Ostreococcus tauri, a model alga, and validated their predictions experimentally; the main regulatory targets in the starch production pathway were correctly predicted. [16] characterized the metabolic adaptations of M. tuberculosis to hypoxia.…”

Section: Introductionmentioning

confidence: 66%