Population structure of Borrelia turcica from Greece and Turkey.


Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
01 2020
Historique:
received: 01 04 2019
revised: 19 09 2019
accepted: 22 09 2019
pubmed: 5 11 2019
medline: 2 6 2020
entrez: 3 11 2019
Statut: ppublish

Résumé

Borrelia turcica, a member of the reptile-associated Borrelia clade, is vectored by Hyalomma aegyptium. The only suggested reservoir hosts of B. turcica are tortoises of the genus Testudo. Borrelia turcica has been described to occur in several Southeastern European countries including Turkey, Romania, Bulgaria and Greece but so far nothing is known about the relationship of these populations and whether or how they are structured. Using multilocus sequence typing (MLST) on eight chromosomally located housekeeping loci (clpA, clpX, nifS, pepX, pyrG, recG, rplB and uvrA) we analyzed 43 B. turcica isolates from Serres, Greece (n = 15) collected in 2017 and Izmir, Turkey (n = 28) collected in 2018. To understand their relationship a maximum-likelihood phylogenetic tree and goeBURST analysis were done based on MLST sequence data and allelic profiles, respectively. The data we generated confirmed that the samples of B. turcica investigated here were divergent from Lyme disease (LD) and relapsing fever (RF) species. Within the B. turcica clade, samples of different geographic origin (Greece, Turkey) clustered together in terminal branches; no obvious differences between the Greek and Turkish samples were noticeable. A goeBURST analysis using triple-locus variants revealed very few clonal complexes with the majority of samples appearing as singletons. Minor clonal complexes (consisting of two sequence types) comprised only Greek isolates, only Turkish isolates or both, so no pattern of clustering of isolates from the two geographical regions was observed. Interestingly, very little population structure was discerned in our study. This was surprising in view of the large geographic distance between collection sites of B. turcica and raises questions about the evolution or spatial spread of this species.

Identifiants

pubmed: 31676445
pii: S1567-1348(19)30276-X
doi: 10.1016/j.meegid.2019.104050
pii:
doi:

Substances chimiques

Bacterial Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104050

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Sabrina Hepner (S)

German National Reference Centre for Borrelia, Bavarian Health and Food Safety Authority, Veterinärstr. 2, Oberschleissheim 85764, Germany. Electronic address: Sabrina.Hepner@lgl.bayern.de.

Volker Fingerle (V)

German National Reference Centre for Borrelia, Bavarian Health and Food Safety Authority, Veterinärstr. 2, Oberschleissheim 85764, Germany.

Georg Gerhard Duscher (GG)

Institute of Parasitology, Department of Pathobiology, Veterinary University of Vienna, Veterinärplatz 1, Vienna 1210, Austria.

Gerit Felsberger (G)

AGES-Austrian Agency for Health and Food Safety, Währingerstr. 25a, Vienna 1090, Austria.

Durdica Marosevic (D)

German National Reference Centre for Borrelia, Bavarian Health and Food Safety Authority, Veterinärstr. 2, Oberschleissheim 85764, Germany.

Robert Ethan Rollins (RE)

Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians University, Großhaderner Str.2, Martinsried 82152, Germany.

Mercy Okeyo (M)

German National Reference Centre for Borrelia, Bavarian Health and Food Safety Authority, Veterinärstr. 2, Oberschleissheim 85764, Germany.

Andreas Sing (A)

German National Reference Centre for Borrelia, Bavarian Health and Food Safety Authority, Veterinärstr. 2, Oberschleissheim 85764, Germany.

Gabriele Margos (G)

German National Reference Centre for Borrelia, Bavarian Health and Food Safety Authority, Veterinärstr. 2, Oberschleissheim 85764, Germany.

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Classifications MeSH