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Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China

BACKGROUND: A wide variety of pathogens could be maintained and transmitted by Haemaphysalis longicornis. The aim of this study is to systematically examine the variety of pathogens carried by Haemaphysalis longicornis, an importnatn vector, in tick-borne diseases epidemic area, and to estimate the...

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Autores principales: Zhuang, Lu, Du, Juan, Cui, Xiao-Ming, Li, Hao, Tang, Fang, Zhang, Pan-He, Hu, Jian-Gong, Tong, Yi-Gang, Feng, Zhi-Chun, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937033/
https://www.ncbi.nlm.nih.gov/pubmed/29730989
http://dx.doi.org/10.1186/s40249-018-0417-4
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author Zhuang, Lu
Du, Juan
Cui, Xiao-Ming
Li, Hao
Tang, Fang
Zhang, Pan-He
Hu, Jian-Gong
Tong, Yi-Gang
Feng, Zhi-Chun
Liu, Wei
author_facet Zhuang, Lu
Du, Juan
Cui, Xiao-Ming
Li, Hao
Tang, Fang
Zhang, Pan-He
Hu, Jian-Gong
Tong, Yi-Gang
Feng, Zhi-Chun
Liu, Wei
author_sort Zhuang, Lu
collection PubMed
description BACKGROUND: A wide variety of pathogens could be maintained and transmitted by Haemaphysalis longicornis. The aim of this study is to systematically examine the variety of pathogens carried by Haemaphysalis longicornis, an importnatn vector, in tick-borne diseases epidemic area, and to estimate the risk of human infection imposed by tick bites. METHODS: Adult questing ticks were collected in Xinyang, central China. Genomic DNA and RNA were extracted from 144 H. longicornis ticks individually, and sequenced respectively as the templates for high-throughput sequencing. Clean reads were compared against the database of NCBI nucleotide collection and specific PCR was performed to confirm the presence of pathogen. Phylogenetic analysis was performed to explore the evolutionary status of pathogens. RESULTS: The assignment of reads to taxa based on BLASTN results revealed the existence of several potential pathogens, including Anaplasma spp., Rickettsia spp., Babesia sp., as well as severe fever with thrombocytopenia syndrome bunyavirus (SFTSV). Comfirmantory PCR assays revealed the existence of Anaplasma bovis (13/144, 9.03%), Anaplasma centrale (2/144, 1.39%), Rickettsia heilongjiangensis (3/144, 2.08%), Rickettsia sp. LON-13 (1/144, 0.69%), Rickettsia raoultii (5/144, 3.47%), Babesia sp. (1/144, 0.69%). SFTSV accounted for the highest detected pathogen with a positive rate of 18.75% (27/144). Three of the ticks (2.08%) were co-infected with SFTSV and A. bovis. CONCLUSION: Our study provided a broadened list of microorganism that harbored by H. longicornis. In previously unrecognized endemic regions, prokaryotic and eukaryotic infection including Anaplasma spp., Rickettsiae spp., and Babesia spp. should be considered, along with the well-known SFTSV for patients with tick bites history. A novel Babesia species was identified in local natural foci, which needs further investigation in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-018-0417-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-59370332018-05-14 Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China Zhuang, Lu Du, Juan Cui, Xiao-Ming Li, Hao Tang, Fang Zhang, Pan-He Hu, Jian-Gong Tong, Yi-Gang Feng, Zhi-Chun Liu, Wei Infect Dis Poverty Research Article BACKGROUND: A wide variety of pathogens could be maintained and transmitted by Haemaphysalis longicornis. The aim of this study is to systematically examine the variety of pathogens carried by Haemaphysalis longicornis, an importnatn vector, in tick-borne diseases epidemic area, and to estimate the risk of human infection imposed by tick bites. METHODS: Adult questing ticks were collected in Xinyang, central China. Genomic DNA and RNA were extracted from 144 H. longicornis ticks individually, and sequenced respectively as the templates for high-throughput sequencing. Clean reads were compared against the database of NCBI nucleotide collection and specific PCR was performed to confirm the presence of pathogen. Phylogenetic analysis was performed to explore the evolutionary status of pathogens. RESULTS: The assignment of reads to taxa based on BLASTN results revealed the existence of several potential pathogens, including Anaplasma spp., Rickettsia spp., Babesia sp., as well as severe fever with thrombocytopenia syndrome bunyavirus (SFTSV). Comfirmantory PCR assays revealed the existence of Anaplasma bovis (13/144, 9.03%), Anaplasma centrale (2/144, 1.39%), Rickettsia heilongjiangensis (3/144, 2.08%), Rickettsia sp. LON-13 (1/144, 0.69%), Rickettsia raoultii (5/144, 3.47%), Babesia sp. (1/144, 0.69%). SFTSV accounted for the highest detected pathogen with a positive rate of 18.75% (27/144). Three of the ticks (2.08%) were co-infected with SFTSV and A. bovis. CONCLUSION: Our study provided a broadened list of microorganism that harbored by H. longicornis. In previously unrecognized endemic regions, prokaryotic and eukaryotic infection including Anaplasma spp., Rickettsiae spp., and Babesia spp. should be considered, along with the well-known SFTSV for patients with tick bites history. A novel Babesia species was identified in local natural foci, which needs further investigation in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-018-0417-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-07 /pmc/articles/PMC5937033/ /pubmed/29730989 http://dx.doi.org/10.1186/s40249-018-0417-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhuang, Lu
Du, Juan
Cui, Xiao-Ming
Li, Hao
Tang, Fang
Zhang, Pan-He
Hu, Jian-Gong
Tong, Yi-Gang
Feng, Zhi-Chun
Liu, Wei
Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China
title Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China
title_full Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China
title_fullStr Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China
title_full_unstemmed Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China
title_short Identification of tick-borne pathogen diversity by metagenomic analysis in Haemaphysalis longicornis from Xinyang, China
title_sort identification of tick-borne pathogen diversity by metagenomic analysis in haemaphysalis longicornis from xinyang, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937033/
https://www.ncbi.nlm.nih.gov/pubmed/29730989
http://dx.doi.org/10.1186/s40249-018-0417-4
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