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Aureobasidium namibiae CBS 147.97 (Aureobasidium_pullulans_var._namibiae_CBS_147.97_v1.0)

About Aureobasidium namibiae CBS 147.97 (GCA_000721765)

Aureobasidium namibiae, formerly known as Aureobasidium pullulans var. namibiae is a ubiquitous black, yeast-like fungus. It was described on the basis of only one strain isolated from dolomitic marble in Namibia (hence its name namibiae).

The genome of A. namibiae (as well as other closely related species) contains unusually high numbers of genes for extracellular enzymes for carbohydrate degradation (CAZy) and proteases, MFS membrane sugar transporters, and alkali metal cation transporters (or ion transporters). Genes presumably involved in the synthesis of the biotechnologically important polysaccharide pullulan and siderophores were found, but the gene for antibiotic Aureobasidin A could not be identified. Genes possibly associated with the degradation of plastic and aromatic compounds are also present.

Due to the relatively recent redefinition of the species, most published work does not yet distinguish between the new species belonging to the previously recognised A. pullulans species complex. It is therefore not clear to what extent this knowledge is valid for A. namibiae.

(Text from Wikipedia, the free encyclopaedia.)

Taxonomy ID 1043004

Data source DOE Joint Genome Institute

More information and statistics

Genome assembly: Aureobasidium_pullulans_var._namibiae_CBS_147.97_v1.0

More information and statistics

Download DNA sequence (FASTA)

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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

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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)


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

Variant Effect Predictor