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Mendeley readers
| Title |
Development and assessment of multiplex high resolution melting assay as a tool for rapid single-tube identification of five Brucella species
|
|---|---|
| Published in |
BMC Research Notes, December 2014
|
| DOI | 10.1186/1756-0500-7-903 |
| Pubmed ID | |
| Authors |
Krishna K Gopaul, Jessica Sells, Robin Lee, Stephen M Beckstrom- Sternberg, Jeffrey T Foster, Adrian M Whatmore |
| Abstract |
The zoonosis brucellosis causes economically significant reproductive problems in livestock and potentially debilitating disease of humans. Although the causative agent, organisms from the genus Brucella, can be differentiated into a number of species based on phenotypic characteristics, there are also significant differences in genotype that are concordant with individual species. This paper describes the development of a five target multiplex assay to identify five terrestrial Brucella species using real-time polymerase chain reaction (PCR) and subsequent high resolution melt curve analysis. This technology offers a robust and cost effective alternative to previously described hydrolysis-probe Single Nucleotide Polymorphism (SNP)-based species defining assays. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Postgraduate | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Other | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 32% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |