Title |
Lucilia cuprina genome unlocks parasitic fly biology to underpin future interventions
|
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Published in |
Nature Communications, June 2015
|
DOI | 10.1038/ncomms8344 |
Pubmed ID | |
Authors |
Clare A. Anstead, Pasi K. Korhonen, Neil D. Young, Ross S. Hall, Aaron R. Jex, Shwetha C. Murali, Daniel S.T. Hughes, Siu F. Lee, Trent Perry, Andreas J. Stroehlein, Brendan R.E. Ansell, Bert Breugelmans, Andreas Hofmann, Jiaxin Qu, Shannon Dugan, Sandra L. Lee, Hsu Chao, Huyen Dinh, Yi Han, Harsha V. Doddapaneni, Kim C. Worley, Donna M. Muzny, Panagiotis Ioannidis, Robert M. Waterhouse, Evgeny M. Zdobnov, Peter J. James, Neil H. Bagnall, Andrew C. Kotze, Richard A. Gibbs, Stephen Richards, Philip Batterham, Robin B. Gasser |
Abstract |
Lucilia cuprina is a parasitic fly of major economic importance worldwide. Larvae of this fly invade their animal host, feed on tissues and excretions and progressively cause severe skin disease (myiasis). Here we report the sequence and annotation of the 458-megabase draft genome of Lucilia cuprina. Analyses of this genome and the 14,544 predicted protein-encoding genes provide unique insights into the fly's molecular biology, interactions with the host animal and insecticide resistance. These insights have broad implications for designing new methods for the prevention and control of myiasis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 20% |
Canada | 2 | 20% |
United States | 2 | 20% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 40% |
Scientists | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 3 | 30% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 88 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 22% |
Student > Ph. D. Student | 18 | 20% |
Student > Bachelor | 13 | 15% |
Student > Master | 9 | 10% |
Professor | 5 | 6% |
Other | 14 | 16% |
Unknown | 10 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 38 | 43% |
Biochemistry, Genetics and Molecular Biology | 19 | 21% |
Veterinary Science and Veterinary Medicine | 5 | 6% |
Unspecified | 2 | 2% |
Environmental Science | 2 | 2% |
Other | 9 | 10% |
Unknown | 14 | 16% |