Title |
MinION nanopore sequencing of an influenza genome
|
---|---|
Published in |
Frontiers in Microbiology, January 2015
|
DOI | 10.3389/fmicb.2015.00766 |
Pubmed ID | |
Authors |
Jing Wang, Nicole E. Moore, Yi-Mo Deng, David A. Eccles, Richard J. Hall |
Abstract |
Influenza epidemics and pandemics have significant impacts on economies, morbidity and mortality worldwide. The ability to rapidly and accurately sequence influenza viruses is instrumental in the prevention and mitigation of influenza. All eight influenza genes from an influenza A virus were amplified by PCR simultaneously and then subjected to sequencing on a MinION nanopore sequencer. A complete influenza virus genome was obtained that shared greater than 99% identity with sequence data obtained from Illumina MiSeq and traditional Sanger-sequencing. The laboratory infrastructure and computing resources used to perform this experiment on the MinION nanopore sequencer would be available in most molecular laboratories around the world. Using this system, the concept of portability, and thus sequencing influenza viruses in the clinic or field is now tenable. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 19% |
New Zealand | 4 | 13% |
United Kingdom | 2 | 6% |
Switzerland | 2 | 6% |
Germany | 1 | 3% |
Australia | 1 | 3% |
Canada | 1 | 3% |
Netherlands | 1 | 3% |
Unknown | 14 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 53% |
Scientists | 13 | 41% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 4 | 2% |
United Kingdom | 2 | <1% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
Czechia | 1 | <1% |
Chile | 1 | <1% |
New Zealand | 1 | <1% |
Belgium | 1 | <1% |
Other | 2 | <1% |
Unknown | 246 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 56 | 21% |
Student > Ph. D. Student | 43 | 16% |
Student > Master | 42 | 16% |
Student > Bachelor | 37 | 14% |
Student > Doctoral Student | 9 | 3% |
Other | 40 | 15% |
Unknown | 34 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 78 | 30% |
Biochemistry, Genetics and Molecular Biology | 57 | 22% |
Medicine and Dentistry | 28 | 11% |
Computer Science | 11 | 4% |
Immunology and Microbiology | 11 | 4% |
Other | 37 | 14% |
Unknown | 39 | 15% |