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Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay

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 i...

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Autores principales: Edwards, Thomas, Sasaki, Shugo, Williams, Christopher, Hobbs, Glyn, Feasey, Nicholas A., Evans, Katie, Adams, Emily R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773611/
https://www.ncbi.nlm.nih.gov/pubmed/29348433
http://dx.doi.org/10.1038/s41598-017-18915-5
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author Edwards, Thomas
Sasaki, Shugo
Williams, Christopher
Hobbs, Glyn
Feasey, Nicholas A.
Evans, Katie
Adams, Emily R.
author_facet Edwards, Thomas
Sasaki, Shugo
Williams, Christopher
Hobbs, Glyn
Feasey, Nicholas A.
Evans, Katie
Adams, Emily R.
author_sort Edwards, Thomas
collection PubMed
description 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.
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spelling pubmed-57736112018-01-26 Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay Edwards, Thomas Sasaki, Shugo Williams, Christopher Hobbs, Glyn Feasey, Nicholas A. Evans, Katie Adams, Emily R. Sci Rep Article 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. Nature Publishing Group UK 2018-01-18 /pmc/articles/PMC5773611/ /pubmed/29348433 http://dx.doi.org/10.1038/s41598-017-18915-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Edwards, Thomas
Sasaki, Shugo
Williams, Christopher
Hobbs, Glyn
Feasey, Nicholas A.
Evans, Katie
Adams, Emily R.
Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay
title Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay
title_full Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay
title_fullStr Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay
title_full_unstemmed Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay
title_short Speciation of common Gram-negative pathogens using a highly multiplexed high resolution melt curve assay
title_sort speciation of common gram-negative pathogens using a highly multiplexed high resolution melt curve assay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773611/
https://www.ncbi.nlm.nih.gov/pubmed/29348433
http://dx.doi.org/10.1038/s41598-017-18915-5
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