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Article

Amplicon-Based Next Generation Sequencing for Rapid Identification of Rickettsia and Ectoparasite Species from Entomological Surveillance in Thailand

by
Suwanna Chaorattanakawee
1,2,
Achareeya Korkusol
1,
Bousaraporn Tippayachai
1,
Sommai Promsathaporn
1,
Betty K. Poole-Smith
1 and
Ratree Takhampunya
1,*
1
Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok 10400, Thailand
2
Department of Parasitology and Entomology, Faculty of Public Health, Mahidol University, Ratchawithi Road, Bangkok 10400, Thailand
*
Author to whom correspondence should be addressed.
Pathogens 2021, 10(2), 215; https://doi.org/10.3390/pathogens10020215
Submission received: 31 December 2020 / Revised: 28 January 2021 / Accepted: 2 February 2021 / Published: 16 February 2021
(This article belongs to the Collection Updates on Rickettsia and Coxiella)

Abstract

Background: Next generation sequencing (NGS) technology has been used for a wide range of epidemiological and surveillance studies. Here, we used amplicon-based NGS to species identify Rickettsia and their arthropod hosts from entomological surveillance. Methods: During 2015–2016, we screened 1825 samples of rodents and ectoparasites collected from rodents and domestic mammals (dog, cat, and cattle) across Thailand for Rickettsia. The citrate synthase gene was amplified to identify Rickettsia to species, while the Cytochrome Oxidase subunit I (COI) and subunit II (COII) genes were used as target genes for ectoparasite identification. All target gene amplicons were pooled for library preparation and sequenced with Illumina MiSeq platform. Result: The highest percentage of Rickettsia DNA was observed in fleas collected from domestic animals (56%) predominantly dogs. Only a few samples of ticks from domestic animals, rodent fleas, and rodent tissue were positive for Rickettisia DNA. NGS based characterization of Rickettsia by host identified Rickettsia asembonensis as the most common bacteria in positive fleas collected from dogs (83.2%) while “Candidatus Rickettsia senegalensis” was detected in only 16.8% of Rickettsia positive dog fleas. Sequence analysis of COI and COII revealed that almost all fleas collected from dogs were Ctenocephalides felis orientis. Other Rickettsia species were detected by NGS including Rickettsia heilongjiangensis from two Haemaphysalis hystricis ticks, and Rickettsia typhi in two rodent tissue samples. Conclusion: This study demonstrates the utility of NGS for high-throughput sequencing in the species characterization/identification of bacteria and ectoparasite for entomological surveillance of rickettsiae. A high percentage of C. f. orientis are positive for R. asembonensis. In addition, our findings indicate there is a risk of tick-borne Spotted Fever Group rickettsiosis, and flea-borne murine typhus transmission in Tak and Phangnga provinces of Thailand.
Keywords: Rickettsia asembonensis; Ctenocephalides felis orientis; Next-generation sequencing (NGS) Rickettsia asembonensis; Ctenocephalides felis orientis; Next-generation sequencing (NGS)

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MDPI and ACS Style

Chaorattanakawee, S.; Korkusol, A.; Tippayachai, B.; Promsathaporn, S.; Poole-Smith, B.K.; Takhampunya, R. Amplicon-Based Next Generation Sequencing for Rapid Identification of Rickettsia and Ectoparasite Species from Entomological Surveillance in Thailand. Pathogens 2021, 10, 215. https://doi.org/10.3390/pathogens10020215

AMA Style

Chaorattanakawee S, Korkusol A, Tippayachai B, Promsathaporn S, Poole-Smith BK, Takhampunya R. Amplicon-Based Next Generation Sequencing for Rapid Identification of Rickettsia and Ectoparasite Species from Entomological Surveillance in Thailand. Pathogens. 2021; 10(2):215. https://doi.org/10.3390/pathogens10020215

Chicago/Turabian Style

Chaorattanakawee, Suwanna, Achareeya Korkusol, Bousaraporn Tippayachai, Sommai Promsathaporn, Betty K. Poole-Smith, and Ratree Takhampunya. 2021. "Amplicon-Based Next Generation Sequencing for Rapid Identification of Rickettsia and Ectoparasite Species from Entomological Surveillance in Thailand" Pathogens 10, no. 2: 215. https://doi.org/10.3390/pathogens10020215

APA Style

Chaorattanakawee, S., Korkusol, A., Tippayachai, B., Promsathaporn, S., Poole-Smith, B. K., & Takhampunya, R. (2021). Amplicon-Based Next Generation Sequencing for Rapid Identification of Rickettsia and Ectoparasite Species from Entomological Surveillance in Thailand. Pathogens, 10(2), 215. https://doi.org/10.3390/pathogens10020215

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