Dissemin is shutting down on January 1st, 2025

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Nature Research, Nature, 7298(465), p. 617-621, 2010

DOI: 10.1038/nature09016

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The Ectocarpus genome and the independent evolution of multicellularity in brown algae

Journal article published in 2010 by J. Mark Cock, J. Mark Cock, Lieven Sterck, Pierre Rouzé, Delphine Scornet, Andrew E. Allen, Andrew E. Allen, Grigoris Amoutzias ORCID, Véronique Anthouard, François Artiguenave, Jean-Marc Aury, Jonathan H. Badger, Jonathan H. Badger, Bank Beszteri, Kenny Billiau and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Brown algae (Phaeophyceae) are complex photosynthetic organisms with a very different evolutionary history to green plants, to which they are only distantly related(1). These seaweeds are the dominant species in rocky coastal ecosystems and they exhibit many interesting adaptations to these, often harsh, environments. Brown algae are also one of only a small number of eukaryotic lineages that have evolved complex multicellularity (Fig. 1). We report the 214 million base pair (Mbp) genome sequence of the filamentous seaweed Ectocarpus siliculosus (Dillwyn) Lyngbye, a model organism for brown algae(2-5), closely related to the kelps(6,7) (Fig. 1). Genome features such as the presence of an extended set of light-harvesting and pigment biosynthesis genes and new metabolic processes such as halide metabolism help explain the ability of this organism to cope with the highly variable tidal environment. The evolution of multicellularity in this lineage is correlated with the presence of a rich array of signal transduction genes. Of particular interest is the presence of a family of receptor kinases, as the independent evolution of related molecules has been linked with the emergence of multicellularity in both the animal and green plant lineages. The Ectocarpus genome sequence represents an important step towards developing this organism as a model species, providing the possibility to combine genomic and genetic(2) approaches to explore these and other(4,5) aspects of brown algal biology further.