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Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking

Journal

FRONTIERS IN MICROBIOLOGY
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2017.02587

Keywords

phage typing; antimicrobial resistance profile; PFGE; MLVA; MLST; CRISPR; Ribotyping; WGS

Categories

Funding

  1. Fundacao de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ, Brazil) [E-26/201.185/2014]
  2. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq, Brazil) [311422/2016-0]
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES/Embrapa, CAPES, Brazil) [125]

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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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