New paradigms for Salmonella source attribution based on microbial subtyping.
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Your vote was cast
Thank you for your feedback
Thank you for your feedback
MetadataShow full item record
TitleNew paradigms for Salmonella source attribution based on microbial subtyping.
Published inFood Microbiol 2018; 71:60-7
PubliekssamenvattingMicrobial subtyping is the most common approach for Salmonella source attribution. Typically, attributions are computed using frequency-matching models like the Dutch and Danish models based on phenotyping data (serotyping, phage-typing, and antimicrobial resistance profiling). Herewith, we critically review three major paradigms facing Salmonella source attribution today: (i) the use of genotyping data, particularly Multi-Locus Variable Number of Tandem Repeats Analysis (MLVA), which is replacing traditional Salmonella phenotyping beyond serotyping; (ii) the integration of case-control data into source attribution to improve risk factor identification/characterization; (iii) the investigation of non-food sources, as attributions tend to focus on foods of animal origin only. Population genetics models or simplified MLVA schemes may provide feasible options for source attribution, although there is a strong need to explore novel modelling options as we move towards whole-genome sequencing as the standard. Classical case-control studies are enhanced by incorporating source attribution results, as individuals acquiring salmonellosis from different sources have different associated risk factors. Thus, the more such analyses are performed the better Salmonella epidemiology will be understood. Reparametrizing current models allows for inclusion of sources like reptiles, the study of which improves our understanding of Salmonella epidemiology beyond food to tackle the pathogen in a more holistic way.
- Tracing the sources of human salmonellosis: a multi-model comparison of phenotyping and genotyping methods.
- Authors: Mughini-Gras L, Smid J, Enserink R, Franz E, Schouls L, Heck M, van Pelt W
- Issue date: 2014 Dec
- Application of Molecular Typing Results in Source Attribution Models: The Case of Multiple Locus Variable Number Tandem Repeat Analysis (MLVA) of Salmonella Isolates Obtained from Integrated Surveillance in Denmark.
- Authors: de Knegt LV, Pires SM, Löfström C, Sørensen G, Pedersen K, Torpdahl M, Nielsen EM, Hald T
- Issue date: 2016 Mar
- Subtyping of Canadian isolates of Salmonella Enteritidis using Multiple Locus Variable Number Tandem Repeat Analysis (MLVA) alone and in combination with Pulsed-Field Gel Electrophoresis (PFGE) and phage typing.
- Authors: Ziebell K, Chui L, King R, Johnson S, Boerlin P, Johnson RP
- Issue date: 2017 Aug
- Characterization of Salmonella Typhimurium isolates from domestically acquired infections in Finland by phage typing, antimicrobial susceptibility testing, PFGE and MLVA.
- Authors: Lienemann T, Kyyhkynen A, Halkilahti J, Haukka K, Siitonen A
- Issue date: 2015 Jul 2
- Salmonella source attribution based on microbial subtyping.
- Authors: Barco L, Barrucci F, Olsen JE, Ricci A
- Issue date: 2013 May 15