Insights to genetic characterization tools for epidemiological tracking of francisella tularensis in Sweden

Tara Wahab, Dawn N. Birdsell, Marika Hjertqvist, Cedar L. Mitchell, David M Wagner, Paul S Keim, Ingela Hedenström, Sven Löfdahl

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Tularaemia, caused by the bacterium Francisella tularensis, is endemic in Sweden and is poorly understood. The aim of this study was to evaluate the effectiveness of three different genetic typing systems to link a genetic type to the source and place of tularemia infection in Sweden. Canonical single nucleotide polymorphisms (canSNPs), MLVA including five variable number of tandem repeat loci and PmeI-PFGE were tested on 127 F. tularensis positive specimens collected from Swedish case-patients. All three typing methods identified two major genetic groups with near-perfect agreement. Higher genetic resolution was obtained with canSNP and MLVA compared to PFGE; F. tularensis samples were first assigned into ten phylogroups based on canSNPs followed by 33 unique MLVA types. Phylogroups were geographically analysed to reveal complex phylogeographic patterns in Sweden. The extensive phylogenetic diversity found within individual counties posed a challenge to linking specific genetic types with specific geographic locations. Despite this, a single phylogroup (B.22), defined by a SNP marker specific to a lone Swedish sequenced strain, did link genetic type with a likely geographic place. This result suggests that SNP markers, highly specific to a particular reference genome, may be found most frequently among samples recovered from the same location where the reference genome originated. This insight compels us to consider whole-genome sequencing (WGS) as the appropriate tool for effectively linking specific genetic type to geography. Comparing the WGS of an unknown sample to WGS databases of archived Swedish strains maximizes the likelihood of revealing those rare geographically informative SNPs.

Original languageEnglish (US)
Article number0112167
JournalPLoS One
Volume9
Issue number11
DOIs
StatePublished - Sep 29 2014

Fingerprint

Francisella tularensis
Sweden
Single Nucleotide Polymorphism
Genes
Genome
Tularemia
genome
Polymorphism
tularemia
Nucleotides
single nucleotide polymorphism
Geographic Locations
Minisatellite Repeats
Geography
Bacteria
minisatellite repeats
geography
Databases
sampling
Infection

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Insights to genetic characterization tools for epidemiological tracking of francisella tularensis in Sweden. / Wahab, Tara; Birdsell, Dawn N.; Hjertqvist, Marika; Mitchell, Cedar L.; Wagner, David M; Keim, Paul S; Hedenström, Ingela; Löfdahl, Sven.

In: PLoS One, Vol. 9, No. 11, 0112167, 29.09.2014.

Research output: Contribution to journalArticle

Wahab, Tara ; Birdsell, Dawn N. ; Hjertqvist, Marika ; Mitchell, Cedar L. ; Wagner, David M ; Keim, Paul S ; Hedenström, Ingela ; Löfdahl, Sven. / Insights to genetic characterization tools for epidemiological tracking of francisella tularensis in Sweden. In: PLoS One. 2014 ; Vol. 9, No. 11.
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