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Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing

Ticks are dangerous ectoparasites of humans and animals, as they are important disease vectors and serve as hosts for various microorganisms (including a variety of pathogenic microorganisms). Diverse microbial populations coexist within the tick body. Metagenomic next-generation sequencing (mNGS) h...

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Autores principales: Cao, Runlai, Ren, Qiaoyun, Luo, Jin, Tian, Zhancheng, Liu, Wenge, Zhao, Bo, Li, Jing, Diao, Peiwen, Tan, Yangchun, Qiu, Xiaofei, Zhang, Gaofeng, Wang, Qilin, Guan, Guiquan, Luo, Jianxun, Yin, Hong, Liu, Guangyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458759/
https://www.ncbi.nlm.nih.gov/pubmed/34567077
http://dx.doi.org/10.3389/fgene.2021.723773
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author Cao, Runlai
Ren, Qiaoyun
Luo, Jin
Tian, Zhancheng
Liu, Wenge
Zhao, Bo
Li, Jing
Diao, Peiwen
Tan, Yangchun
Qiu, Xiaofei
Zhang, Gaofeng
Wang, Qilin
Guan, Guiquan
Luo, Jianxun
Yin, Hong
Liu, Guangyuan
author_facet Cao, Runlai
Ren, Qiaoyun
Luo, Jin
Tian, Zhancheng
Liu, Wenge
Zhao, Bo
Li, Jing
Diao, Peiwen
Tan, Yangchun
Qiu, Xiaofei
Zhang, Gaofeng
Wang, Qilin
Guan, Guiquan
Luo, Jianxun
Yin, Hong
Liu, Guangyuan
author_sort Cao, Runlai
collection PubMed
description Ticks are dangerous ectoparasites of humans and animals, as they are important disease vectors and serve as hosts for various microorganisms (including a variety of pathogenic microorganisms). Diverse microbial populations coexist within the tick body. Metagenomic next-generation sequencing (mNGS) has been suggested to be useful for rapidly and accurately obtaining microorganism abundance and diversity data. In this study, we performed mNGS to analyze the microbial diversity of Haemaphysalis longicornis from Baoji, Shaanxi, China, with the Illumina HiSeq platform. We identified 189 microbial genera (and 284 species) from ticks in the region; the identified taxa included Anaplasma spp., Rickettsia spp., Ehrlichia spp., and other important tick-borne pathogens at the genus level as well as symbiotic microorganisms such as Wolbachia spp., and Candidatus Entotheonella. The results of this study provide insights into possible tick-borne diseases and reveal new tick-borne pathogens in this region. Additionally, valuable information for the biological control of ticks is provided. In conclusion, this study provides reference data for guiding the development of prevention and control strategies targeting ticks and tick-borne diseases in the region, which can improve the effectiveness of tick and tick-borne disease control.
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spelling pubmed-84587592021-09-24 Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing Cao, Runlai Ren, Qiaoyun Luo, Jin Tian, Zhancheng Liu, Wenge Zhao, Bo Li, Jing Diao, Peiwen Tan, Yangchun Qiu, Xiaofei Zhang, Gaofeng Wang, Qilin Guan, Guiquan Luo, Jianxun Yin, Hong Liu, Guangyuan Front Genet Genetics Ticks are dangerous ectoparasites of humans and animals, as they are important disease vectors and serve as hosts for various microorganisms (including a variety of pathogenic microorganisms). Diverse microbial populations coexist within the tick body. Metagenomic next-generation sequencing (mNGS) has been suggested to be useful for rapidly and accurately obtaining microorganism abundance and diversity data. In this study, we performed mNGS to analyze the microbial diversity of Haemaphysalis longicornis from Baoji, Shaanxi, China, with the Illumina HiSeq platform. We identified 189 microbial genera (and 284 species) from ticks in the region; the identified taxa included Anaplasma spp., Rickettsia spp., Ehrlichia spp., and other important tick-borne pathogens at the genus level as well as symbiotic microorganisms such as Wolbachia spp., and Candidatus Entotheonella. The results of this study provide insights into possible tick-borne diseases and reveal new tick-borne pathogens in this region. Additionally, valuable information for the biological control of ticks is provided. In conclusion, this study provides reference data for guiding the development of prevention and control strategies targeting ticks and tick-borne diseases in the region, which can improve the effectiveness of tick and tick-borne disease control. Frontiers Media S.A. 2021-09-09 /pmc/articles/PMC8458759/ /pubmed/34567077 http://dx.doi.org/10.3389/fgene.2021.723773 Text en Copyright © 2021 Cao, Ren, Luo, Tian, Liu, Zhao, Li, Diao, Tan, Qiu, Zhang, Wang, Guan, Luo, Yin and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Cao, Runlai
Ren, Qiaoyun
Luo, Jin
Tian, Zhancheng
Liu, Wenge
Zhao, Bo
Li, Jing
Diao, Peiwen
Tan, Yangchun
Qiu, Xiaofei
Zhang, Gaofeng
Wang, Qilin
Guan, Guiquan
Luo, Jianxun
Yin, Hong
Liu, Guangyuan
Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing
title Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing
title_full Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing
title_fullStr Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing
title_full_unstemmed Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing
title_short Analysis of Microorganism Diversity in Haemaphysalis longicornis From Shaanxi, China, Based on Metagenomic Sequencing
title_sort analysis of microorganism diversity in haemaphysalis longicornis from shaanxi, china, based on metagenomic sequencing
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458759/
https://www.ncbi.nlm.nih.gov/pubmed/34567077
http://dx.doi.org/10.3389/fgene.2021.723773
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