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Genetic diversity of Francisella tularensis subsp. holarctica in Kazakhstan
Authors:Vladislav Shevtsov  Alma Kairzhanova  Alexandr Shevtsov  Alexandr Shustov  Ruslan Kalendar  Sarsenbay Abdrakhmanov  Larissa Lukhnova  Uinkul Izbanova  Yerlan Ramankulov  Gilles Vergnaud
Affiliation:1. National Center for Biotechnology, Nur Sultan, Kazakhstan;2. S. Seifullin Kazakh Agrotechnical University, Nur Sultan, Kazakhstan;3. National Scientific Center for Especially Dangerous Infections named by Masgut Aykimbayev, Almaty, Kazakhstan;4. School of Science and Technology Nazarbayev University, Nur Sultan, Kazakhstan;5. Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell, Gif-sur-Yvette, France;Universidad Nacional Autonoma de Mexico, MEXICO
Abstract: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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