By the same authors

From the same journal

Diurnal oscillations of metabolite abundances and gene analysis provide new insights into central metabolic processes of the brown alga Ectocarpus siliculosus

Research output: Contribution to journalArticle


  • Antoine Gravot
  • Simon M Dittami
  • Sylvie Rousvoal
  • Raphael Lugan
  • Anja Eggert
  • Jonas Collén
  • Catherine Boyen
  • Alain Bouchereau
  • Thierry Tonon


Publication details

JournalThe New phytologist
DatePublished - Oct 2010
Issue number1
Number of pages13
Pages (from-to)98-110
Original languageEnglish


• Knowledge about primary metabolic processes is essential for the understanding of the physiology and ecology of seaweeds. The Ectocarpus siliculosus genome now facilitates integrative studies of the molecular basis of primary metabolism in this brown alga. • Metabolite profiling was performed across two light-dark cycles and under different CO2 and O2 concentrations, together with genome and targeted gene expression analysis. • Except for mannitol, E. siliculosus cells contain low levels of polyols, organic acids and carbohydrates. Amino acid profiles were similar to those of C3-type plants, including glycine/serine accumulation under photorespiration-enhancing conditions. gamma-Aminobutyric acid was only detected in traces. • Changes in the concentrations of glycine and serine, genome annotation and targeted expression analysis together suggest the presence of a classical photorespiratory glycolate pathway in E. siliculosus rather than a malate synthase pathway as in diatoms. Several metabolic and transcriptional features do not clearly fit with the hypothesis of an alanine/aspartate-based inducible C4-like metabolism in E. siliculosus. We propose a model in which the accumulation of alanine could be used to store organic carbon and nitrogen during the light period. We finally discuss a possible link between low -aminobutyric acid contents and the absence of glutamate decarboxylase genes in the Ectocarpus genome

    Research areas

  • Amino Acids/metabolism, Carbon/metabolism, Circadian Rhythm/genetics, Cluster Analysis, Gene Expression Profiling, Genes/genetics, Mannitol/metabolism, Metabolome/genetics, Metabolomics, Models, Biological, Phaeophyta/genetics

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