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

Pathogen typing is pivotal to detecting the emergence of high-risk clones in hospital settings and to limit their spread. Unfortunately, the most commonly used typing methods (i.e., pulsed-field gel electrophoresis [PFGE], multilocus sequence typing [MLST], and whole-genome sequencing [WGS]) are exp...

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Autores principales: Perini, Matteo, Piazza, Aurora, Panelli, Simona, Papaleo, Stella, Alvaro, Alessandro, Vailati, Francesca, Corbella, Marta, Saluzzo, Francesca, Gona, Floriana, Castelli, Daniele, Farina, Claudio, Marone, Piero, Cirillo, Daniela Maria, Cavallero, Annalisa, Zuccotti, Gian Vincenzo, Comandatore, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9430602/
https://www.ncbi.nlm.nih.gov/pubmed/35913212
http://dx.doi.org/10.1128/spectrum.01009-22
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author Perini, Matteo
Piazza, Aurora
Panelli, Simona
Papaleo, Stella
Alvaro, Alessandro
Vailati, Francesca
Corbella, Marta
Saluzzo, Francesca
Gona, Floriana
Castelli, Daniele
Farina, Claudio
Marone, Piero
Cirillo, Daniela Maria
Cavallero, Annalisa
Zuccotti, Gian Vincenzo
Comandatore, Francesco
author_facet Perini, Matteo
Piazza, Aurora
Panelli, Simona
Papaleo, Stella
Alvaro, Alessandro
Vailati, Francesca
Corbella, Marta
Saluzzo, Francesca
Gona, Floriana
Castelli, Daniele
Farina, Claudio
Marone, Piero
Cirillo, Daniela Maria
Cavallero, Annalisa
Zuccotti, Gian Vincenzo
Comandatore, Francesco
author_sort Perini, Matteo
collection PubMed
description Pathogen typing is pivotal to detecting the emergence of high-risk clones in hospital settings and to limit their spread. Unfortunately, the most commonly used typing methods (i.e., pulsed-field gel electrophoresis [PFGE], multilocus sequence typing [MLST], and whole-genome sequencing [WGS]) are expensive or time-consuming, limiting their application to real-time surveillance. High-resolution melting (HRM) can be applied to perform cost-effective and fast pathogen typing, but developing highly discriminatory protocols is challenging. Here, we present hypervariable-locus melting typing (HLMT), a novel approach to HRM-based typing that enables the development of more effective and portable typing protocols. HLMT types the strains by assigning them to melting types (MTs) on the basis of a reference data set (HLMT-assignment) and/or by clustering them using melting temperatures (HLMT-clustering). We applied the HLMT protocol developed on the capsular gene wzi for Klebsiella pneumoniae on 134 strains collected during surveillance programs in four hospitals. Then, we compared the HLMT results to those obtained using wzi, MLST, WGS, and PFGE typing. HLMT distinguished most of the K. pneumoniae high-risk clones with a sensitivity comparable to that of PFGE and MLST+wzi. It also drew surveillance epidemiological curves comparable to those obtained using MLST+wzi, PFGE, and WGS typing. Furthermore, the results obtained using HLMT-assignment were consistent with those of wzi typing for 95% of the typed strains, with a Jaccard index value of 0.9. HLMT is a fast and scalable approach for pathogen typing, suitable for real-time hospital microbiological surveillance. HLMT is also inexpensive, and thus, it is applicable for infection control programs in low- and middle-income countries. IMPORTANCE In this work, we describe hypervariable-locus melting typing (HLMT), a novel fast approach to pathogen typing using the high-resolution melting (HRM) assay. The method includes a novel approach for gene target selection, primer design, and HRM data analysis. We successfully applied this method to distinguish the high-risk clones of Klebsiella pneumoniae, one of the most important nosocomial pathogens worldwide. We also compared HLMT to typing using WGS, the capsular gene wzi, MLST, and PFGE. Our results show that HLMT is a typing method suitable for real-time epidemiological investigation. The application of HLMT to hospital microbiology surveillance can help to rapidly detect outbreak emergence, improving the effectiveness of infection control strategies.
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spelling pubmed-94306022022-09-01 Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs Perini, Matteo Piazza, Aurora Panelli, Simona Papaleo, Stella Alvaro, Alessandro Vailati, Francesca Corbella, Marta Saluzzo, Francesca Gona, Floriana Castelli, Daniele Farina, Claudio Marone, Piero Cirillo, Daniela Maria Cavallero, Annalisa Zuccotti, Gian Vincenzo Comandatore, Francesco Microbiol Spectr Research Article Pathogen typing is pivotal to detecting the emergence of high-risk clones in hospital settings and to limit their spread. Unfortunately, the most commonly used typing methods (i.e., pulsed-field gel electrophoresis [PFGE], multilocus sequence typing [MLST], and whole-genome sequencing [WGS]) are expensive or time-consuming, limiting their application to real-time surveillance. High-resolution melting (HRM) can be applied to perform cost-effective and fast pathogen typing, but developing highly discriminatory protocols is challenging. Here, we present hypervariable-locus melting typing (HLMT), a novel approach to HRM-based typing that enables the development of more effective and portable typing protocols. HLMT types the strains by assigning them to melting types (MTs) on the basis of a reference data set (HLMT-assignment) and/or by clustering them using melting temperatures (HLMT-clustering). We applied the HLMT protocol developed on the capsular gene wzi for Klebsiella pneumoniae on 134 strains collected during surveillance programs in four hospitals. Then, we compared the HLMT results to those obtained using wzi, MLST, WGS, and PFGE typing. HLMT distinguished most of the K. pneumoniae high-risk clones with a sensitivity comparable to that of PFGE and MLST+wzi. It also drew surveillance epidemiological curves comparable to those obtained using MLST+wzi, PFGE, and WGS typing. Furthermore, the results obtained using HLMT-assignment were consistent with those of wzi typing for 95% of the typed strains, with a Jaccard index value of 0.9. HLMT is a fast and scalable approach for pathogen typing, suitable for real-time hospital microbiological surveillance. HLMT is also inexpensive, and thus, it is applicable for infection control programs in low- and middle-income countries. IMPORTANCE In this work, we describe hypervariable-locus melting typing (HLMT), a novel fast approach to pathogen typing using the high-resolution melting (HRM) assay. The method includes a novel approach for gene target selection, primer design, and HRM data analysis. We successfully applied this method to distinguish the high-risk clones of Klebsiella pneumoniae, one of the most important nosocomial pathogens worldwide. We also compared HLMT to typing using WGS, the capsular gene wzi, MLST, and PFGE. Our results show that HLMT is a typing method suitable for real-time epidemiological investigation. The application of HLMT to hospital microbiology surveillance can help to rapidly detect outbreak emergence, improving the effectiveness of infection control strategies. American Society for Microbiology 2022-08-01 /pmc/articles/PMC9430602/ /pubmed/35913212 http://dx.doi.org/10.1128/spectrum.01009-22 Text en Copyright © 2022 Perini et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Perini, Matteo
Piazza, Aurora
Panelli, Simona
Papaleo, Stella
Alvaro, Alessandro
Vailati, Francesca
Corbella, Marta
Saluzzo, Francesca
Gona, Floriana
Castelli, Daniele
Farina, Claudio
Marone, Piero
Cirillo, Daniela Maria
Cavallero, Annalisa
Zuccotti, Gian Vincenzo
Comandatore, Francesco
Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs
title Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs
title_full Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs
title_fullStr Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs
title_full_unstemmed Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs
title_short Hypervariable-Locus Melting Typing: a Novel Approach for More Effective High-Resolution Melting-Based Typing, Suitable for Large Microbiological Surveillance Programs
title_sort hypervariable-locus melting typing: a novel approach for more effective high-resolution melting-based typing, suitable for large microbiological surveillance programs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9430602/
https://www.ncbi.nlm.nih.gov/pubmed/35913212
http://dx.doi.org/10.1128/spectrum.01009-22
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