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Toward systems biology in brown algae to explore acclimation and adaptation to the shore environment.

Thierry Tonon 1, * Damien Eveillard 2 Sylvain Prigent 3 Jérémie Bourdon 4 Philippe Potin 1 Catherine Boyen 1 Anne Siegel 3
* Corresponding author
2 lina-combi
LINA - Laboratoire d'Informatique de Nantes Atlantique
3 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Brown algae belong to a phylogenetic lineage distantly related to land plants and animals. They are almost exclusively found in the intertidal zone, a harsh and frequently changing environment where organisms are submitted to marine and terrestrial constraints. In relation with their unique evolutionary history and their habitat, they feature several peculiarities, including at the level of their primary and secondary metabolism. The establishment of Ectocarpus siliculosus as a model organism for brown algae has represented a framework in which several omics techniques have been developed, in particular, to study the response of these organisms to abiotic stresses. With the recent publication of medium to high throughput profiling data, it is now possible to envision integrating observations at the cellular scale to apply systems biology approaches. As a first step, we propose a protocol focusing on integrating heterogeneous knowledge gained on brown algal metabolism. The resulting abstraction of the system will then help understanding how brown algae cope with changes in abiotic parameters within their unique habitat, and to decipher some of the mechanisms underlying their (1) acclimation and (2) adaptation, respectively consequences of (1) the behavior or (2) the topology of the system resulting from the integrative approach.
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Thierry Tonon, Damien Eveillard, Sylvain Prigent, Jérémie Bourdon, Philippe Potin, et al.. Toward systems biology in brown algae to explore acclimation and adaptation to the shore environment.. OMICS, Mary Ann Liebert, 2011, 15 (12), pp.883-892. ⟨10.1089/omi.2011.0089⟩. ⟨hal-00661751⟩



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