Introduction: Listeria monocytogenes (Lm) is a bacterium widely distributed in nature and able to contaminate food processing environments, including those of dairy products. Lm is a primary public health issue, due to the very low infectious dose and the ability to produce severe outcomes, in particular in elderly, newborns, pregnant women and immunocompromised patients. Methods: In the period between April and July 2015, an increased number of cases of listeriosis was observed in the area of Pavia, Northern Italy. An epidemiological investigation identified a cheesemaking small organic farm as the possible origin of the outbreak. In this work we present the results of the retrospective epidemiological study that we performed using molecular biology and genomic epidemiology methods. The strains sampled from patients and those from the target farm's cheese were analyzed using PFGE and whole genome sequencing (WGS) based methods. The performed WGS based analyses included: a) in-silico MLST typing; b) SNPs calling and genetic distance evaluation; c) determination of the resistance and virulence genes profiles; d) SNPs based phylogenetic reconstruction. Results: Three of the patient strains and all the cheese strains resulted to belong to the same phylogenetic cluster, in Sequence Type 29. A further accurate SNPs analysis revealed that two of the three patient strains and all the cheese strains were highly similar (0.8 SNPs of average distance) and exhibited a higer distance from the third patient isolate (9.4 SNPs of average distance). Discussion: Despite the global agreement among the results of the PFGE and WGS epidemiological studies, the latter approach agree with epidemiological data in indicating that one the patient strains could have originated from a different source. This result highlights that WGS methods can allow to better.

Genomic Characterization Helps Dissecting an Outbreak of Listeriosis in Northern Italy / F. Comandatore, M. Corbella, G. Andreoli, E. Scaltriti, M. Aguzzi, S. Gaiarsa, B. Mariani, M. Morganti, C. Bandi, M. Fabbi, P. Marone, S. Pongolini, D. Sassera (PLOS CURRENTS). - In: PLOS Currents[s.l] : Public Library of Science, 2017 Jul 06. [10.1371/currents.outbreaks.633fd8994e9f06f31b3494567c7e504c]

Genomic Characterization Helps Dissecting an Outbreak of Listeriosis in Northern Italy

F. Comandatore;S. Gaiarsa;C. Bandi;D. Sassera
2017

Abstract

Introduction: Listeria monocytogenes (Lm) is a bacterium widely distributed in nature and able to contaminate food processing environments, including those of dairy products. Lm is a primary public health issue, due to the very low infectious dose and the ability to produce severe outcomes, in particular in elderly, newborns, pregnant women and immunocompromised patients. Methods: In the period between April and July 2015, an increased number of cases of listeriosis was observed in the area of Pavia, Northern Italy. An epidemiological investigation identified a cheesemaking small organic farm as the possible origin of the outbreak. In this work we present the results of the retrospective epidemiological study that we performed using molecular biology and genomic epidemiology methods. The strains sampled from patients and those from the target farm's cheese were analyzed using PFGE and whole genome sequencing (WGS) based methods. The performed WGS based analyses included: a) in-silico MLST typing; b) SNPs calling and genetic distance evaluation; c) determination of the resistance and virulence genes profiles; d) SNPs based phylogenetic reconstruction. Results: Three of the patient strains and all the cheese strains resulted to belong to the same phylogenetic cluster, in Sequence Type 29. A further accurate SNPs analysis revealed that two of the three patient strains and all the cheese strains were highly similar (0.8 SNPs of average distance) and exhibited a higer distance from the third patient isolate (9.4 SNPs of average distance). Discussion: Despite the global agreement among the results of the PFGE and WGS epidemiological studies, the latter approach agree with epidemiological data in indicating that one the patient strains could have originated from a different source. This result highlights that WGS methods can allow to better.
No
English
Settore MED/07 - Microbiologia e Microbiologia Clinica
Capitolo o Saggio
Esperti anonimi
Pubblicazione scientifica
PLOS Currents
Public Library of Science
6-lug-2017
21
9
Volume a diffusione internazionale
Gold
pubmed
Aderisco
F. Comandatore, M. Corbella, G. Andreoli, E. Scaltriti, M. Aguzzi, S. Gaiarsa, B. Mariani, M. Morganti, C. Bandi, M. Fabbi, P. Marone, S. Pongolini, D...espandi
Book Part (author)
open
268
Genomic Characterization Helps Dissecting an Outbreak of Listeriosis in Northern Italy / F. Comandatore, M. Corbella, G. Andreoli, E. Scaltriti, M. Aguzzi, S. Gaiarsa, B. Mariani, M. Morganti, C. Bandi, M. Fabbi, P. Marone, S. Pongolini, D. Sassera (PLOS CURRENTS). - In: PLOS Currents[s.l] : Public Library of Science, 2017 Jul 06. [10.1371/currents.outbreaks.633fd8994e9f06f31b3494567c7e504c]
info:eu-repo/semantics/bookPart
13
Prodotti della ricerca::03 - Contributo in volume
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/745360
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