Applying next generation sequencing to detect tick-pathogens in Dermacentor nuttalli, Ixodes persulcatus, and Hyalomma asiaticum collected from Mongolia.
Dermacentor
Hyalomma
Ixodes
Mongolia
Next-generation sequencing
Surveillance
Tick-borne disease
Journal
Ticks and tick-borne diseases
ISSN: 1877-9603
Titre abrégé: Ticks Tick Borne Dis
Pays: Netherlands
ID NLM: 101522599
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
29
12
2022
revised:
11
05
2023
accepted:
21
05
2023
medline:
19
6
2023
pubmed:
9
6
2023
entrez:
8
6
2023
Statut:
ppublish
Résumé
Ticks and tick-borne diseases represent major threats to the public health of the Mongolian population, of which an estimated 26% live a traditional nomadic pastoralist lifestyle that puts them at increased risk for exposure. Ticks were collected by dragging and removal from livestock in Khentii, Selenge, Tuv, and Umnugovi aimags (provinces) during March-May 2020. Using next-generation sequencing (NGS) with confirmatory PCR and DNA sequencing, we sought to characterize the microbial species present in Dermacentor nuttalli (n = 98), Hyalomma asiaticum (n = 38), and Ixodes persulcatus (n = 72) tick pools. Rickettsia spp. were detected in 90.4% of tick pools, with Khentii, Selenge, and Tuv tick pools all having 100% pool positivity. Coxiella spp. were detected at an overall pool positivity rate of 60%, while Francisella spp. were detected in 20% of pools and Borrelia spp. detected in 13% of pools. Additional confirmatory testing for Rickettsia-positive pools demonstrated Rickettsia raoultii (n = 105), Candidatus Rickettsia tarasevichiae (n = 65) and R. slovaca/R. sibirica (n = 2), as well as the first report of Candidatus Rickettsia jingxinensis (n = 1) in Mongolia. For Coxiella spp. reads, most samples were identified as a Coxiella endosymbiont (n = 117), although Coxiella burnetii was detected in eight pools collected in Umnugovi. Borrelia species that were identified include Borrelia burgdorferi sensu lato (n = 3), B. garinii (n = 2), B. miyamotoi (n = 16), and B. afzelii (n = 3). All Francisella spp. reads were identified as Francisella endosymbiont species. Our findings emphasize the utility of NGS to provide baseline data across multiple tick-borne pathogen groups, which in turn can be used to inform health policy, determine regions for expanded surveillance, and guide risk mitigation strategies.
Identifiants
pubmed: 37290396
pii: S1877-959X(23)00084-5
doi: 10.1016/j.ttbdis.2023.102203
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
102203Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier GmbH.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors have no conflicts of interest to declare.