Whole genome sequence-based serogrouping of Listeria monocytogenes isolates

Patrick Hyden, Ariane Pietzka, Anna Lennkh, Andrea Murer, Burkhard Springer, Marion Blaschitz, Alexander Indra, Steliana Huhulescu, Franz Allerberger, Werner Ruppitsch, Christoph W Sensen

Research output: Contribution to journalArticle

Abstract

Whole genome sequencing (WGS) is currently becoming the method of choice for characterization of Listeria monocytogenes isolates in national reference laboratories (NRLs). WGS is superior with regards to accuracy, resolution and analysis speed in comparison to several other methods including serotyping, PCR, pulsed field gel electrophoresis (PFGE), multilocus sequence typing (MLST), multilocus variable number tandem repeat analysis (MLVA), and multivirulence-locus sequence typing (MVLST), which have been used thus far for the characterization of bacterial isolates (and are still important tools in reference laboratories today) to control and prevent listeriosis, one of the major sources of foodborne diseases for humans. Backward compatibility of WGS to former methods can be maintained by extraction of the respective information from WGS data. Serotyping was the first subtyping method for L. monocytogenes capable of differentiating 12 serovars and national reference laboratories still perform serotyping and PCR-based serogrouping as a first level classification method for Listeria monocytogenes surveillance. Whole genome sequence based core genome MLST analysis of a L. monocytogenes collection comprising 172 isolates spanning all 12 serotypes was performed for serogroup determination. These isolates clustered according to their serotypes and it was possible to group them either into the IIa, IIc, IVb or IIb clusters, respectively, which were generated by minimum spanning tree (MST) and neighbor joining (NJ) tree data analysis, demonstrating the power of the new approach.

LanguageEnglish
JournalJournal of biotechnology
DOIs
StatusPublished - 8 Jun 2016

Fingerprint

Listeria monocytogenes
Genome
Multilocus Sequence Typing
Serotyping
Listeriosis
Polymerase Chain Reaction
Minisatellite Repeats
Foodborne Diseases
Information Storage and Retrieval
Pulsed Field Gel Electrophoresis
Serogroup

Keywords

  • Listeria
  • Listeriosis

Fields of Expertise

  • Human- & Biotechnology

Cite this

Whole genome sequence-based serogrouping of Listeria monocytogenes isolates. / Hyden, Patrick; Pietzka, Ariane; Lennkh, Anna; Murer, Andrea; Springer, Burkhard; Blaschitz, Marion; Indra, Alexander; Huhulescu, Steliana; Allerberger, Franz; Ruppitsch, Werner; Sensen, Christoph W.

In: Journal of biotechnology, 08.06.2016.

Research output: Contribution to journalArticle

Hyden, P, Pietzka, A, Lennkh, A, Murer, A, Springer, B, Blaschitz, M, Indra, A, Huhulescu, S, Allerberger, F, Ruppitsch, W & Sensen, CW 2016, 'Whole genome sequence-based serogrouping of Listeria monocytogenes isolates' Journal of biotechnology. DOI: 10.1016/j.jbiotec.2016.06.005
Hyden P, Pietzka A, Lennkh A, Murer A, Springer B, Blaschitz M et al. Whole genome sequence-based serogrouping of Listeria monocytogenes isolates. Journal of biotechnology. 2016 Jun 8. Available from, DOI: 10.1016/j.jbiotec.2016.06.005
Hyden, Patrick ; Pietzka, Ariane ; Lennkh, Anna ; Murer, Andrea ; Springer, Burkhard ; Blaschitz, Marion ; Indra, Alexander ; Huhulescu, Steliana ; Allerberger, Franz ; Ruppitsch, Werner ; Sensen, Christoph W. / Whole genome sequence-based serogrouping of Listeria monocytogenes isolates. In: Journal of biotechnology. 2016
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