Applying next generation sequencing to detect tick-pathogens in Dermacentor nuttalli, Ixodes persulcatus,and Hyalomma asiaticumcollected from Mongolia

Autor: Matulis, Graham A., Sakolvaree, Jira, Boldbaatar, Bazartseren, Cleary, Nora, Takhampunya, Ratree, Poole-Smith, B. Katherine, Lilak, Abigail A., Altantogtokh, Doniddemberel, Tsogbadrakh, Nyamdorj, Chanarat, Nitima, Youngdech, Nittayaphon, Lindroth, Erica J., Fiorenzano, Jodi M., Letizia, Andrew G., von Fricken, Michael E.
Zdroj: Ticks and Tick-borne Diseases; September 2023, Vol. 14 Issue: 5
Abstrakt: 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. Rickettsiaspp. were detected in 90.4% of tick pools, with Khentii, Selenge, and Tuv tick pools all having 100% pool positivity. Coxiellaspp. were detected at an overall pool positivity rate of 60%, while Francisellaspp. were detected in 20% of pools and Borreliaspp. detected in 13% of pools. Additional confirmatory testing for Rickettsia-positive pools demonstrated Rickettsia raoultii(n = 105), CandidatusRickettsia tarasevichiae (n = 65) and R. slovaca/R. sibirica(n = 2), as well as the first report of CandidatusRickettsia jingxinensis (n = 1) in Mongolia. For Coxiellaspp. reads, most samples were identified as a Coxiellaendosymbiont (n = 117), although Coxiella burnetiiwas detected in eight pools collected in Umnugovi. Borreliaspecies that were identified include Borrelia burgdorferisensu lato (n = 3), B. garinii(n = 2), B. miyamotoi(n = 16), and B. afzelii(n = 3). All Francisellaspp. reads were identified as Francisellaendosymbiont 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.
Databáze: Supplemental Index