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PMID: 16457709 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Generation, annotation, and analysis of an extensive Aspergillus niger EST collection.

BMC microbiology ·Vol. 6 ·2006-02-02 ·Pages 7

Semova N, Storms R, John T, Gaudet P, Ulycznyj P, Min XJ, Sun J, Butler G, Tsang A

Abstract

Aspergillus niger, a saprophyte commonly found on decaying vegetation, is widely used and studied for industrial purposes. Despite its place as one of the most important organisms for commercial applications, the lack of available information about its genetic makeup limits research with this filamentous fungus. We present here the analysis of 12,820 expressed sequence tags (ESTs) generated from A. niger cultured under seven different growth conditions. These ESTs identify about 5,108 genes of which 44.5% code for proteins sharing similarity (E < or = 1e(-5)) with GenBank entries of known function, 38% code for proteins that only share similarity with GenBank entries of unknown function and 17.5% encode proteins that do not have a GenBank homolog. Using the Gene Ontology hierarchy, we present a first classification of the A. niger proteins encoded by these genes and compare its protein repertoire with other well-studied fungal species. We have established a searchable web-based database that includes the EST and derived contig sequences and their annotation. Details about this project and access to the annotated A. niger database are available. This EST collection and its annotation provide a significant resource for fundamental and applied research with A. niger. The gene set identified in this manuscript will be highly useful in the annotation of the genome sequence of A. niger, the genes described in the manuscript, especially those encoding hydrolytic enzymes will provide a valuable source for researchers interested in enzyme properties and applications.

MeSH Terms
Aspergillus niger/genetics Computational Biology Databases, Nucleic Acid Expressed Sequence Tags Fungal Proteins/genetics,metabolism Gene Expression Profiling Gene Expression Regulation, Fungal Genes, Fungal/genetics
Chemicals
Fungal Proteins
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Semova Natalia
Centre for Structural and Functional Genomics, Concordia University, Montreal, Canada. nsemova@gene.concordia.ca
Storms Reginald
John Tricia
Gaudet Pascale
Ulycznyj Peter
Min Xiang Jia
Sun Jian
Butler Greg
Tsang Adrian
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Article Info
Journal
BMC microbiology
Abbr.
BMC Microbiol
ISSN
1471-2180
Published
2006-02-02
Epub
2006-00-02
Pages
7
Language
English
Region
England
NLM ID
100966981
PMCID
PMC1434744
Subset
IM
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