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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8458759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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