Title |
Comprehensive annotation of secondary metabolite biosynthetic genes and gene clusters of Aspergillus nidulans, A. fumigatus, A. niger and A. oryzae
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Published in |
BMC Microbiology, April 2013
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DOI | 10.1186/1471-2180-13-91 |
Pubmed ID | |
Authors |
Diane O Inglis, Jonathan Binkley, Marek S Skrzypek, Martha B Arnaud, Gustavo C Cerqueira, Prachi Shah, Farrell Wymore, Jennifer R Wortman, Gavin Sherlock |
Abstract |
Secondary metabolite production, a hallmark of filamentous fungi, is an expanding area of research for the Aspergilli. These compounds are potent chemicals, ranging from deadly toxins to therapeutic antibiotics to potential anti-cancer drugs. The genome sequences for multiple Aspergilli have been determined, and provide a wealth of predictive information about secondary metabolite production. Sequence analysis and gene overexpression strategies have enabled the discovery of novel secondary metabolites and the genes involved in their biosynthesis. The Aspergillus Genome Database (AspGD) provides a central repository for gene annotation and protein information for Aspergillus species. These annotations include Gene Ontology (GO) terms, phenotype data, gene names and descriptions and they are crucial for interpreting both small- and large-scale data and for aiding in the design of new experiments that further Aspergillus research. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Denmark | 4 | 1% |
France | 1 | <1% |
Australia | 1 | <1% |
Malaysia | 1 | <1% |
Canada | 1 | <1% |
Colombia | 1 | <1% |
Brazil | 1 | <1% |
Taiwan | 1 | <1% |
Other | 0 | 0% |
Unknown | 303 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 76 | 24% |
Researcher | 54 | 17% |
Student > Master | 44 | 14% |
Student > Bachelor | 41 | 13% |
Student > Doctoral Student | 14 | 4% |
Other | 43 | 14% |
Unknown | 46 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 145 | 46% |
Biochemistry, Genetics and Molecular Biology | 74 | 23% |
Chemistry | 14 | 4% |
Immunology and Microbiology | 9 | 3% |
Chemical Engineering | 4 | 1% |
Other | 15 | 5% |
Unknown | 57 | 18% |