Literature DB >> 33315212

Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing.

Ajay Ratan Pasala1, Matteo Perini1, Aurora Piazza2, Simona Panelli1, Domenico Di Carlo1, Cristian Loretelli3, Alessandra Cafiso4, Sonia Inglese5, Floriana Gona6, Daniela Maria Cirillo7, Gian Vincenzo Zuccotti1,8, Francesco Comandatore9.   

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.

Entities:  

Year:  2020        PMID: 33315212     DOI: 10.1186/s13568-020-01164-7

Source DB:  PubMed          Journal:  AMB Express        ISSN: 2191-0855            Impact factor:   3.298


  2 in total

1.  MeltingPlot, a user-friendly online tool for epidemiological investigation using High Resolution Melting data.

Authors:  Matteo Perini; Gherard Batisti Biffignandi; Domenico Di Carlo; Ajay Ratan Pasala; Aurora Piazza; Simona Panelli; Gian Vincenzo Zuccotti; Francesco Comandatore
Journal:  BMC Bioinformatics       Date:  2021-02-18       Impact factor: 3.169

2.  Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs.

Authors:  Matteo Perini; Aurora Piazza; Simona Panelli; Stella Papaleo; Alessandro Alvaro; Francesca Vailati; Marta Corbella; Francesca Saluzzo; Floriana Gona; Daniele Castelli; Claudio Farina; Piero Marone; Daniela Maria Cirillo; Annalisa Cavallero; Gian Vincenzo Zuccotti; Francesco Comandatore
Journal:  Microbiol Spectr       Date:  2022-08-01
  2 in total

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