Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 425042
Title A multiplex ligation detection assay for the characterization of Salmonella enterica strains
Author(s) Aarts, H.J.M.; Vos, P.; Larsson, J.T.; Hoek, A.H.A.M. van; Huehn, S.; Weijers, T.; Gronlund, H.A.; Malorny, B.
Source International Journal of Food Microbiology 145 (2011)Suppl. 1. - ISSN 0168-1605 - p. S68 - S78.
Department(s) RIKILT - V&G Microbiologie & Novel Foods
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) antibiotic-resistance genes - oligonucleotide microarray - molecular characterization - identification - hybridization - serotypes - sequence - serovars
Abstract A proof of principle of a multi-target assay for genotyping Salmonella has been developed targeting 62 genomic marker sequences of Salmonella related to pathogenicity. The assay is based on multiplex ligation detection reaction (LDR) followed by customized ArrayTube (R) microarray detection. The feasibility of the developed assay was verified in a method comparison study with conventional PCR using 16 Salmonella 'test' strains comprising eight serovars. Subsequently, the feasibility of the LDR microarray assay was also tested by analyzing 41 strains belonging to 23 serovars. With the exception of four serovars each serovar was characterized by a unique virulence associated gene repertoire. The LDR microarray platform proved to be a convenient, rapid and easy to use tool with potential in tracing a Salmonella contamination in the food chain, for outbreak studies, and to provide data for risk assessors that support bio-traceability models. (C) 2010 Elsevier B.V. All rights reserved
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