1. Whole genome sequencing as a tool to investigate a cluster of seven cases of listeriosis in Austria and Germany, 2011-2013.
- Author
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Schmid, D., Allerberger, F., Huhulescu, S., Pietzka, A., Amar, C., Kleta, S., Prager, R., Preußel, K., Aichinger, E., and Mellmann, A.
- Subjects
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NUCLEOTIDE sequencing , *LISTERIOSIS , *GEL electrophoresis , *GENETIC polymorphisms - Abstract
A cluster of seven human cases of listeriosis occurred in Austria and in Germany between April 2011 and July 2013. The Listeria monocytogenes serovar ( SV) 1/2b isolates shared pulsed-field gel electrophoresis ( PFGE) and fluorescent amplified fragment length polymorphism (f AFLP) patterns indistinguishable from those from five food producers. The seven human isolates, a control strain with a different PFGE/f AFLP profile and ten food isolates were subjected to whole genome sequencing ( WGS) in a blinded fashion. A gene-by-gene comparison (multilocus sequence typing ( MLST)+) was performed, and the resulting whole genome allelic profiles were compared using SeqSphere+ software version 1.0. On analysis of 2298 genes, the four human outbreak isolates from 2012 to 2013 had different alleles at ≤6 genes, i.e. differed by ≤6 genes from each other; the dendrogram placed these isolates in between five Austrian unaged soft cheese isolates from producer A (≤19-gene difference from the human cluster) and two Austrian ready-to-eat meat isolates from producer B (≤8-gene difference from the human cluster). Both food products appeared on grocery bills prospectively collected by these outbreak cases after hospital discharge. Epidemiological results on food consumption and MLST+ clearly separated the three cases in 2011 from the four 2012-2013 outbreak cases (≥48 different genes). We showed that WGS is capable of discriminating L. monocytogenes SV1/2b clones not distinguishable by PFGE and f AFLP. The listeriosis outbreak described clearly underlines the potential of sequence-based typing methods to offer enhanced resolution and comparability of typing systems for public health applications. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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