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Genetic diversity of Francisella tularensis subsp. holarctica in Kazakhstan
Author(s) -
Vladislav Shevtsov,
А.Д. Каиржанова,
Alexandr Shevtsov,
Alexandr V. Shustov,
Ruslan Kalendar,
Sarsenbay Abdrakhmanov,
Larissa Lukhnova,
Uinkul Izbanova,
Yerlan Ramankulov,
Gilles Vergnaud
Publication year - 2021
Publication title -
plos neglected tropical diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.99
H-Index - 135
eISSN - 1935-2735
pISSN - 1935-2727
DOI - 10.1371/journal.pntd.0009419
Subject(s) - multiple loci vntr analysis , francisella tularensis , genotyping , biology , genetics , in silico , genetic diversity , whole genome sequencing , variable number tandem repeat , genome , genotype , tandem repeat , virulence , population , gene , demography , sociology
Tularemia is a highly dangerous zoonotic infection due to the bacteria Francisella tularensis . Low genetic diversity promoted the use of polymorphic tandem repeats (MLVA) as first-line assay for genetic description. Whole genome sequencing (WGS) is becoming increasingly accessible, opening the perspective of a time when WGS might become the universal genotyping assay. The main goal of this study was to describe F . tularensis strains circulating in Kazakhstan based on WGS data and develop a MLVA assay compatible with in vitro and in silico analysis. In vitro MLVA genotyping and WGS were performed for the vaccine strain and for 38 strains isolated in Kazakhstan from natural water bodies, ticks, rodents, carnivores, and from one migratory bird, an Isabellina wheatear captured in a rodent burrow. The two genotyping approaches were congruent and allowed to attribute all strains to two F . tularensis holarctica lineages, B.4 and B.12. The seven tandem repeats polymorphic in the investigated strain collection could be typed in a single multiplex PCR assay. Identical MLVA genotypes were produced by in vitro and in silico analysis, demonstrating full compatibility between the two approaches. The strains from Kazakhstan were compared to all publicly available WGS data of worldwide origin by whole genome SNP (wgSNP) analysis. Genotypes differing at a single SNP position were collected within a time interval of more than fifty years, from locations separated from each other by more than one thousand kilometers, supporting a role for migratory birds in the worldwide spread of the bacteria.

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