Suppr超能文献

基于宏基因组测序的中国陕西微生物多样性分析。

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

作者信息

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

机构信息

State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.

Gansu Agriculture Technology College, Lanzhou, China.

出版信息

Front Genet. 2021 Sep 9;12:723773. doi: 10.3389/fgene.2021.723773. eCollection 2021.

Abstract

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 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 spp., spp., spp., and other important tick-borne pathogens at the genus level as well as symbiotic microorganisms such as spp., and 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.

摘要

蜱是人和动物危险的体外寄生虫,因为它们是重要的疾病传播媒介,并且是各种微生物(包括多种致病微生物)的宿主。不同的微生物群体共存于蜱体内。宏基因组下一代测序(mNGS)已被认为有助于快速准确地获取微生物丰度和多样性数据。在本研究中,我们使用Illumina HiSeq平台进行mNGS,以分析来自中国陕西宝鸡的蜱的微生物多样性。我们从该地区的蜱中鉴定出189个微生物属(以及284个物种);鉴定出的分类群包括该属水平上的 spp.、 spp.、 spp.以及其他重要的蜱传病原体,以及诸如 spp.和Entotheonella等共生微生物。本研究结果为了解可能的蜱传疾病提供了见解,并揭示了该地区新的蜱传病原体。此外,还提供了蜱生物防治的宝贵信息。总之,本研究提供了参考数据,以指导该地区针对蜱和蜱传疾病的防控策略的制定,从而提高蜱及蜱传疾病控制的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2202/8458759/9d5c6236ca17/fgene-12-723773-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验