中国媒介生物学及控制杂志 ›› 2024, Vol. 35 ›› Issue (4): 417-421.DOI: 10.11853/j.issn.1003.8280.2024.04.006

• 实验研究 • 上一篇    下一篇

贵州省罗甸县山羊体表寄生蜱携带柯克斯体属细菌的基因特征分析

陈秋1,7, 何贤海2, 孟娇3, 吴胜春3, 唐继霞3, 林祉君4, 余福勋5, 江佳富6, 孙毅6, 曹务春6, 詹琳5, 周远忠1,7   

  1. 1. 遵义医科大学公共卫生学院, 贵州 遵义 563006;
    2. 德江县农业农村局动物疫病预防控制中心, 贵州 铜仁 565299;
    3. 贵州医科大学公共卫生与健康学院, 环境污染与疾病监控教育部重点实验室, 贵州 贵阳 550025;
    4. 贵州大学, 贵州 贵阳 550025;
    5. 国家卫生健康委肺脏免疫性疾病诊治重点实验室(贵州省人民医院), 贵州 贵阳 550002;
    6. 军事科学院军事医学研究院, 北京 100001;
    7. 贵州省高等学校孕妇儿童 健康与暴露科学重点实验室, 贵州 遵义 563006
  • 收稿日期:2023-11-27 出版日期:2024-08-20 发布日期:2024-08-27
  • 通讯作者: 周远忠,E-mail:zhouyuanzhong@zmu.edu.cn;詹琳,E-mail:zhanlin300@hotmail.com
  • 作者简介:陈秋,女,在读硕士,主要从事蜱媒病分子流行病学研究,E-mail:1904273031@qq.com;何贤海,男,高级兽医师,主要从事动物疫病防控工作,E-mail:439579172@qq.com
  • 基金资助:
    国家自然科学基金(82160633,81760605);贵州省人民医院科研基金(GPPH-NSFC-2021-17);贵州省高层次创新型人才基金(黔科合平台人才-GCC[2022]033-1)

Analysis of genetic characteristics of Coxiella carried by parasitic ticks on goat body surface in Luodian County, Guizhou Province, China

CHEN Qiu1,7, HE Xian-hai2, MENG Jiao3, WU Sheng-chun3, TANG Ji-xia3, LIN Zhi-jun4, YU Fu-xun5, JIANG Jia-fu6, SUN Yi6, CAO Wu-chun6, ZHAN Lin5, ZHOU Yuan-zhong1,7   

  1. 1. School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563006, China;
    2. Animal Disease Prevention and Control Center of Dejiang County Agriculture and Rural Bureau, Tongren, Guizhou 565299, China;
    3. School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 550025, China;
    4. Guizhou University, Guiyang, Guizhou 550025, China;
    5. NHC Key Laboratory of Pulmonary Immune-related Diseases, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, China;
    6. Academy of Military Medicine, Academy of Military Sciences, Beijing 100001, China;
    7. Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563006, China
  • Received:2023-11-27 Online:2024-08-20 Published:2024-08-27
  • Supported by:
    National Natural Science Fund of China (No. 82160633, 81760605); Scientific Research Fund of Guizhou Provincial People's Hospital(No. GPPH-NSFC-2021-17); The High-level and the Innovative Talents of Guizhou Province (No. QKH-GCC 2022 033-1)

摘要: 目的 了解山羊体表寄生蜱携带的柯克斯体属细菌的基本特点。方法 采集贵州省罗甸县山区散养山羊体表寄生蜱,单只提取蜱DNA,制备混合DNA样品进行细菌16S rRNA扩增子高通量测序。同时对个体蜱DNA样本进行柯克斯体属特异引物聚合酶链式反应检测,结合DNA测序验证高通量测序的结果。结果 共采集66只蜱,其中63只为长角血蜱,3只为微小扇头蜱。通过高通量测序获得柯克斯体共生菌序列17条,采用柯克斯体属 16S rRNA 基因PCR扩增对单只蜱样本进行鉴定,电泳阳性率为28.78%(19/66)。遗传进化分析提示本研究发现的柯克斯体共生体与以色列株(JQ480818)和泰国株(KC170759)在同一分支。结论 贵州罗甸县散养山羊体表寄生蜱中柯克斯体共生菌携带率较高,其致病性及公共卫生意义还待进一步研究。

关键词: 蜱, 柯克斯体属, 高通量测序, 贵州

Abstract: Objective To investigate the basic characteristics of bacteria in the genus Coxiella carried by parasitic ticks on the body surface of goats. Methods Ticks were collected from goats raised in free range in Luodian County, Guizhou Province, China. DNA was extracted from individual ticks and mixed for high-throughput sequencing of bacterial 16S rRNA amplicons. Moreover, individual tick DNA samples were also assayed by PCR with Coxiella-specific primers, which was combined with DNA sequencing to validate the results of high-throughput sequencing. Results A total of 66 ticks were collected in this study, including 63 Haemaphysalis longicornis and 3 Rhipicephalus microplus. A total of 17 reads of Coxiella-like endosymbiont were identified by 16S rRNA high-throughput sequencing. The prevalence rate was 28.78% (19/66) by PCR amplification of the 16S rRNA gene (683 bp) of Coxiella from individual ticks. The phylogenetic analysis based on 16S rRNA gene revealed that the Coxiella-like endosymbionts identified in this study were in the same branch with the Iseral strain (JQ480818) and the Thailand strain (KC170759). Conclusions These findings indicated that the prevalence of Coxiella-like endosymbionts was high in parasitic ticks on the body surface of goats raised in free range in Luodian County. The pathogenicity and the public health significance of the agent require further investigation in the future.

Key words: Tick, Coxiella, High-throughput sequencing, Guizhou

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