中国媒介生物学及控制杂志 ›› 2023, Vol. 34 ›› Issue (3): 394-399.DOI: 10.11853/j.issn.1003.8280.2023.03.019

• 调查研究 • 上一篇    下一篇

内蒙古自治区大兴安岭林区游离蜱及其疏螺旋体调查

刘丹, 李晓娜, 乌兰图雅, 樊红霞, 帖卫芳, 马宇星, 梅步俊, 殷旭红, 曹民治, 高娃   

  1. 内蒙古自治区蜱媒人畜共患传染病重点实验室, 河套学院医学系, 内蒙古 巴彦淖尔 015000
  • 收稿日期:2022-12-02 出版日期:2023-06-20 发布日期:2023-06-16
  • 通讯作者: 高娃,E-mail:melody_gaowa@163.com
  • 作者简介:刘丹,女,硕士,讲师,主要从事蜱媒人畜共患传染病研究,E-mail:liudan_summer@163.com
  • 基金资助:
    内蒙古自治区科技计划项目;内蒙古自治区自然科学基金(2021MS03029);内蒙古自治区高等学校科学研究项目(NJZY21185);巴彦淖尔市博士科研工作站(BKZ2016)

Free ticks and tick-borne Borrelia in Daxinganling forest zone, Inner Mongolia Autonomous Region, China

LIU Dan, LI Xiao-na, Wulantuya, FAN Hong-xia, TIE Wei-fang, MA Yu-xing, MEI Bu-jun, YIN Xu-hong, CAO Min-zhi, Gaowa   

  1. Inner Mongolia Key Laboratory of Tick-borne Zoonotic Infectious Disease, Department of Medicine, Hetao College, Bayannur, Inner Mongolia 015000, China
  • Received:2022-12-02 Online:2023-06-20 Published:2023-06-16
  • Supported by:
    Science and Technology Program of Inner Mongolia; Natural Science Foundation of Inner Mongolia of China (No. 2021MS03029); Inner Mongolia Higher Education Science and Technology Research Project (No. NJZY21185); Bayannur Doctoral Scientific Research Station (No. BKZ2016)

摘要: 目的 了解内蒙古自治区(内蒙古)大兴安岭林区蜱类的群落结构及携带疏螺旋体本底情况。方法 于2019-2021年春夏季采集游离蜱标本,经形态学和分子生物学法鉴定蜱种。解剖摘取蜱唾液腺提取DNA,以16S rRNA的荧光定量PCR(qPCR)技术作为疏螺旋体初筛,阳性标本再以疏螺旋体鞭毛蛋白B(flaB)靶基因进行PCR检测和测序确认。扩增序列测序后进行BLAST同源性比对分析,使用MEGA 7.0软件构建系统发育树。结果 共采获成蜱2 755只,隶属于3属4种。其中全沟硬蜱为该地区的优势蜱种,占采集总数的85.6%。PCR检测结果显示,疏螺旋体的阳性率为24.7%,其中回归热螺旋体、莱姆病螺旋体的阳性率分别为3.8%和20.9%。在采获的蜱中,全沟硬蜱和嗜群血蜱均检测到莱姆病螺旋体,回归热螺旋体仅在全沟硬蜱中发现。测序获得的序列经BLAST比对和系统发育分析结果显示,源于全沟硬蜱的一些序列分别与Borrelia afzelii(CP003882)、B. garinii(CP003866)、B. miyamotoi(AB900798)、Borrelia sp.(LC170020)有高度同源性(97.5%~100%);源于嗜群血蜱的序列也与B. garinii(CP003866)聚在一簇。不同蜱种携带疏螺旋体的种类及携带率存在较大差异。仅全沟硬蜱存在2种螺旋体的混合感染。结论 该地区蜱类中广泛存在以莱姆病螺旋体和回归热螺旋体为主的蜱媒疏螺旋体菌群,且携带率较高,有必要针对性地加强蜱媒疾病的防控工作。

关键词: 蜱, 疏螺旋体, PCR检测

Abstract: Objective To investigate the community structure of ticks and the background of Borrelia carried by ticks in Daxinganling forest zone, Inner Mongolia Autonomous Region (Inner Mongolia), China. Methods Free tick were collected in spring and summer from 2019 to 2021, and the tick species were identified by morphological and molecular biological methods. The salivary glands of ticks were anatomically harvested for DNA extraction. The quantitative polymerase chain reaction (qPCR) of 16S rRNA was used as preliminary screening of Borrelia, and for positive specimens, the target gene flaB of Borrelia was detected by PCR and confirmed by sequencing. After sequencing of amplified sequences, the basic local alignment search tool (BLAST) was used for homology analysis, and then the phylogenetic tree was constructed by MEGA 7.0 software. Results A total of 2 755 adult ticks were collected, belonging to 4 species from 3 genera. Ixodes persulcatus was the dominant tick species in this area, accounting for 85.6% of the total number of collected ticks. PCR results showed that the positive rate of Borrelia was 24.7%, and the positive rates of B. recurrentis and B. burgdorferi were 3.8% and 20.9%, respectively. In the collected ticks, B. burgdorferi was detected in both I. persulcatus and Haemaphysalis concinna, while B. recurrentis was found only in I. persulcatus. BLAST and phylogenetic analysis results showed that some sequences derived from I. persulcatus were identified to share a high homology (97.5%-100%) with those from B. afzelii (CP003882), B. garinii (CP003866), B. miyamotoi (AB900798), and Borrelia sp. (LC170020); the sequence derived from Ha. concinna was also clustered with that from B. garinii (CP003866). The species and carrying rate of Borrelia were different among different tick species. Among the ticks collected, only I. persulcatus had the co-infection of two species of Borrelia. Conclusions In this area, the tick-borne Borrelia species, mainly B. burgdorferi and B. recurrentis, are widely found in ticks, and the carrying rate is high. Therefore, it is necessary to strengthen the targeted prevention and control of tick-borne diseases.

Key words: Tick, Borrelia, PCR detection

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