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Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking

Salmonellosis is one of the most common causes of foodborne infection and a leading cause of human gastroenteritis. Throughout the last decade, Salmonella enterica serotype Typhimurium (ST) has shown an increase report with the simultaneous emergence of multidrug-resistant isolates, as phage type DT...

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Autores principales: Ferrari, Rafaela G., Panzenhagen, Pedro H. N., Conte-Junior, Carlos A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744012/
https://www.ncbi.nlm.nih.gov/pubmed/29312260
http://dx.doi.org/10.3389/fmicb.2017.02587
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author Ferrari, Rafaela G.
Panzenhagen, Pedro H. N.
Conte-Junior, Carlos A.
author_facet Ferrari, Rafaela G.
Panzenhagen, Pedro H. N.
Conte-Junior, Carlos A.
author_sort Ferrari, Rafaela G.
collection PubMed
description Salmonellosis is one of the most common causes of foodborne infection and a leading cause of human gastroenteritis. Throughout the last decade, Salmonella enterica serotype Typhimurium (ST) has shown an increase report with the simultaneous emergence of multidrug-resistant isolates, as phage type DT104. Therefore, to successfully control this microorganism, it is important to attribute salmonellosis to the exact source. Studies of Salmonella source attribution have been performed to determine the main food/food-production animals involved, toward which, control efforts should be correctly directed. Hence, the election of a ST subtyping method depends on the particular problem that efforts must be directed, the resources and the data available. Generally, before choosing a molecular subtyping, phenotyping approaches such as serotyping, phage typing, and antimicrobial resistance profiling are implemented as a screening of an investigation, and the results are computed using frequency-matching models (i.e., Dutch, Hald and Asymmetric Island models). Actually, due to the advancement of molecular tools as PFGE, MLVA, MLST, CRISPR, and WGS more precise results have been obtained, but even with these technologies, there are still gaps to be elucidated. To address this issue, an important question needs to be answered: what are the currently suitable subtyping methods to source attribute ST. This review presents the most frequently applied subtyping methods used to characterize ST, analyses the major available microbial subtyping attribution models and ponders the use of conventional phenotyping methods, as well as, the most applied genotypic tools in the context of their potential applicability to investigates ST source tracking.
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spelling pubmed-57440122018-01-08 Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking Ferrari, Rafaela G. Panzenhagen, Pedro H. N. Conte-Junior, Carlos A. Front Microbiol Microbiology Salmonellosis is one of the most common causes of foodborne infection and a leading cause of human gastroenteritis. Throughout the last decade, Salmonella enterica serotype Typhimurium (ST) has shown an increase report with the simultaneous emergence of multidrug-resistant isolates, as phage type DT104. Therefore, to successfully control this microorganism, it is important to attribute salmonellosis to the exact source. Studies of Salmonella source attribution have been performed to determine the main food/food-production animals involved, toward which, control efforts should be correctly directed. Hence, the election of a ST subtyping method depends on the particular problem that efforts must be directed, the resources and the data available. Generally, before choosing a molecular subtyping, phenotyping approaches such as serotyping, phage typing, and antimicrobial resistance profiling are implemented as a screening of an investigation, and the results are computed using frequency-matching models (i.e., Dutch, Hald and Asymmetric Island models). Actually, due to the advancement of molecular tools as PFGE, MLVA, MLST, CRISPR, and WGS more precise results have been obtained, but even with these technologies, there are still gaps to be elucidated. To address this issue, an important question needs to be answered: what are the currently suitable subtyping methods to source attribute ST. This review presents the most frequently applied subtyping methods used to characterize ST, analyses the major available microbial subtyping attribution models and ponders the use of conventional phenotyping methods, as well as, the most applied genotypic tools in the context of their potential applicability to investigates ST source tracking. Frontiers Media S.A. 2017-12-22 /pmc/articles/PMC5744012/ /pubmed/29312260 http://dx.doi.org/10.3389/fmicb.2017.02587 Text en Copyright © 2017 Ferrari, Panzenhagen and Conte-Junior. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Ferrari, Rafaela G.
Panzenhagen, Pedro H. N.
Conte-Junior, Carlos A.
Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking
title Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking
title_full Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking
title_fullStr Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking
title_full_unstemmed Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking
title_short Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking
title_sort phenotypic and genotypic eligible methods for salmonella typhimurium source tracking
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744012/
https://www.ncbi.nlm.nih.gov/pubmed/29312260
http://dx.doi.org/10.3389/fmicb.2017.02587
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