Ectocarpus siliculosus str. Ec 32 (CCAP 1310/04) (GCA_000310025.1) (ASM31002v1)

About Ectocarpus siliculosus str. Ec 32 (CCAP 1310/04)

Ectocarpus siliculosus is a filamentous brown alga (Heterokontophyta). Its genome was the first brown macroalgal genome to be sequenced, with the expectation that E. siliculosus will serve as a genetic and genomic model for brown macroalgae.

The alga is unbranched and filamentous; it forms soft beards on larger plants or other firm substrata and grows up to 2 feet long.

Plants tufted, often only one to a few cm tall, but in exceptional cases up to 20 cm. Axes freely branched, main axis not distinguishable. Filaments up to 30μm in diameter, tapering toward the apices. sometimes forming terminal pseudohairs. Distribution: Cosmopolitan.

This species of ectocarpus has been shown to bind iron on its cells with non-specificity. This iron ion shell allows the algae to store and have a constant source of iron regardless of the conditions of the surrounding environment. This adaptation is important because this method of iron uptake is similar to that of terrestrial organisms and differs from the methods typically used in the marine environment such as siderophores.

(Text and image from Wikipedia, the free encyclopaedia.)

Taxonomy ID 2880

Data source Genoscope - CEA

More information and statistics

Genome assembly: ASM31002v1

More information and statistics

Download DNA sequence (FASTA)

Display your data in Ensembl Protists

Gene annotation

What can I find? Protein-coding and non-coding genes, splice variants, cDNA and protein sequences, non-coding RNAs.

More about this genebuild

Download genes, cDNAs, ncRNA, proteins - FASTA - GFF3

Update your old Ensembl IDs

Comparative genomics

What can I find? Homologues, gene trees, and whole genome alignments across multiple species.

More about comparative analyses

Phylogenetic overview of gene families

Download alignments (EMF)

Variation

This species currently has no variation database. However you can process your own variants using the Variant Effect Predictor:

Variant Effect Predictor