Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing
Abstract High resolution melting (HRM) is a fast closed-tube method for nucleotide variant scanning applicable for bacterial species identification or molecular typing. Recently a novel HRM-based method for Klebsiella pneumoniae typing has been proposed: it consists of an HRM protocol designed on th...
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doaj-4ba4c28db7224f9d8966808e10ac86bc2020-12-20T12:19:42ZengSpringerOpenAMB Express2191-08552020-12-011011810.1186/s13568-020-01164-7Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typingAjay Ratan Pasala0Matteo Perini1Aurora Piazza2Simona Panelli3Domenico Di Carlo4Cristian Loretelli5Alessandra Cafiso6Sonia Inglese7Floriana Gona8Daniela Maria Cirillo9Gian Vincenzo Zuccotti10Francesco Comandatore11Department of Biomedical and Clinical Sciences “L. Sacco”, Università di Milano, Pediatric Clinical Research Center “Romeo and Enrica Invernizzi”Department of Biomedical and Clinical Sciences “L. Sacco”, Università di Milano, Pediatric Clinical Research Center “Romeo and Enrica Invernizzi”Department of Clinical Surgical Diagnostic and Pediatric Sciences, Microbiology and Clinical Microbiology Unit, University of PaviaDepartment of Biomedical and Clinical Sciences “L. Sacco”, Università di Milano, Pediatric Clinical Research Center “Romeo and Enrica Invernizzi”Department of Biomedical and Clinical Sciences “L. Sacco”, Università di Milano, Pediatric Clinical Research Center “Romeo and Enrica Invernizzi”International Center for T1D, Pediatric Clinical Research Center “Romeo Ed Enrica Invernizzi”, Department of Biomedical and Clinical Science L. Sacco, Università di MilanoDepartment of Veterinary Medicine, Università di MilanoMicrobiology and Virology Unit, Fondazione IRCCS Policlinico San MatteoLaboratorio Microbiologia e Virologia-Ospedale San Raffaele DibitEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific InstituteDepartment of Biomedical and Clinical Sciences “L. Sacco”, Università di Milano, Pediatric Clinical Research Center “Romeo and Enrica Invernizzi”Department of Biomedical and Clinical Sciences “L. Sacco”, Università di Milano, Pediatric Clinical Research Center “Romeo and Enrica Invernizzi”Abstract High resolution melting (HRM) is a fast closed-tube method for nucleotide variant scanning applicable for bacterial species identification or molecular typing. Recently a novel HRM-based method for Klebsiella pneumoniae typing has been proposed: it consists of an HRM protocol designed on the capsular wzi gene and an HRM-based algorithm of strains clustering. In this study, we evaluated the repeatability and reproducibility of this method by performing the HRM typing of a set of K. pneumoniae strains, on three different instruments and by two different operators. The results showed that operators do not affect melting temperatures while different instruments can. Despite this, we found that strain clustering analysis, performed using MeltingPlot separately on the data from the three instruments, remains almost perfectly consistent. The HRM method under study resulted highly repeatable and thus reliable for large studies, even when several operators are involved. Furthermore, the HRM clusters obtained from the three different instruments were highly conserved, suggesting that this method could be applied in multicenter studies, even if different instruments are used.https://doi.org/10.1186/s13568-020-01164-7 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ajay Ratan Pasala Matteo Perini Aurora Piazza Simona Panelli Domenico Di Carlo Cristian Loretelli Alessandra Cafiso Sonia Inglese Floriana Gona Daniela Maria Cirillo Gian Vincenzo Zuccotti Francesco Comandatore |
spellingShingle |
Ajay Ratan Pasala Matteo Perini Aurora Piazza Simona Panelli Domenico Di Carlo Cristian Loretelli Alessandra Cafiso Sonia Inglese Floriana Gona Daniela Maria Cirillo Gian Vincenzo Zuccotti Francesco Comandatore Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing AMB Express |
author_facet |
Ajay Ratan Pasala Matteo Perini Aurora Piazza Simona Panelli Domenico Di Carlo Cristian Loretelli Alessandra Cafiso Sonia Inglese Floriana Gona Daniela Maria Cirillo Gian Vincenzo Zuccotti Francesco Comandatore |
author_sort |
Ajay Ratan Pasala |
title |
Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing |
title_short |
Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing |
title_full |
Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing |
title_fullStr |
Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing |
title_full_unstemmed |
Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing |
title_sort |
repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for klebsiella pneumoniae typing |
publisher |
SpringerOpen |
series |
AMB Express |
issn |
2191-0855 |
publishDate |
2020-12-01 |
description |
Abstract High resolution melting (HRM) is a fast closed-tube method for nucleotide variant scanning applicable for bacterial species identification or molecular typing. Recently a novel HRM-based method for Klebsiella pneumoniae typing has been proposed: it consists of an HRM protocol designed on the capsular wzi gene and an HRM-based algorithm of strains clustering. In this study, we evaluated the repeatability and reproducibility of this method by performing the HRM typing of a set of K. pneumoniae strains, on three different instruments and by two different operators. The results showed that operators do not affect melting temperatures while different instruments can. Despite this, we found that strain clustering analysis, performed using MeltingPlot separately on the data from the three instruments, remains almost perfectly consistent. The HRM method under study resulted highly repeatable and thus reliable for large studies, even when several operators are involved. Furthermore, the HRM clusters obtained from the three different instruments were highly conserved, suggesting that this method could be applied in multicenter studies, even if different instruments are used. |
url |
https://doi.org/10.1186/s13568-020-01164-7 |
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