Tools
Tools
Edwards, Thomas, Sasaki, Shugo, Williams, Chris, Hobbs, Glyn, Feasey, Nicholas 
ORCID: https://orcid.org/0000-0003-4041-1405, Evans, Katie and Adams, Emily ORCID: https://orcid.org/0000-0002-0816-2835
(2018)
'Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay'. Scientific Reports, Vol 8, e1114.
|
Text
Edwards-Nature-Jan-17.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
The identification of the bacterial species responsible for an infection remains an important step for the selection of antimicrobial therapy. Gram-negative bacteria are an important source of hospital and community acquired infections and frequently antimicrobial resistant. Speciation of bacteria is typically carried out by biochemical profiling of organisms isolated from clinical specimens, which is time consuming and delays the initiation of tailored treatment. Whilst molecular methods such as PCR have been used, they often struggle with the challenge of detecting and discriminating a wide range of targets. High resolution melt analysis is an end-point qPCR detection method that provides greater multiplexing capability than probe based methods. Here we report the design of a high resolution melt analysis assay for the identification of six common Gram-negative pathogens; Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca, Pseudomonas aeruginosa, Salmonella Sp, and Acinetobacter baumannii, and a generic Gram-negative specific 16S rRNA control. The assay was evaluated using a well characterised collection of 113 clinically isolated Gram-negative bacteria. The agreement between the HRM assay and the reference test of PCR and sequencing was 98.2% (Kappa 0.96); the overall sensitivity and specificity of the assay was 97.1% (95% CI: 90.1–99.7%) and 100% (95% CI: 91.78–100%) respectively.
| Item Type: | Article |
|---|---|
| Subjects: | QW Microbiology and Immunology > Bacteria > QW 131 Gram-negative bacteria. QW Microbiology and Immunology > QW 4 General works. Classify here works on microbiology as a whole. QW Microbiology and Immunology > QW 50 Bacteria (General). Bacteriology. Archaea |
| Faculty: Department: | Biological Sciences > Department of Tropical Disease Biology Clinical Sciences & International Health > Malawi-Liverpool-Wellcome Programme (MLW) Biological Sciences > Vector Biology Department Clinical Sciences & International Health > Clinical Sciences Department Clinical Sciences & International Health > International Public Health Department |
| Digital Object Identifer (DOI): | https://doi.org/10.1038/s41598-017-18915-5 |
| Depositing User: | Mary Creegan |
| Date Deposited: | 26 Jan 2018 10:38 |
| Last Modified: | 15 Jun 2018 09:50 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/8117 |
Statistics
Actions (login required)
 |
Edit Item |