黑龙江省桦南县蜱中松岭病毒的检测

doi:10.11853/j.issn.1003.8280.2024.03.018

中国媒介生物学及控制杂志 ›› 2024, Vol. 35 ›› Issue (3): 358-362.DOI: 10.11853/j.issn.1003.8280.2024.03.018

黑龙江省桦南县蜱中松岭病毒的检测

侯泽英¹, 刘凤明², 赵继民², 李春雨³, 李德¹, 王瑞晨⁴, 张维嘉⁴, 姚晓慧⁴, 李樊⁴, 聂凯⁴, 付士红⁴, 殷启凯⁴, 崔倩倩⁴, 许松涛⁴, 李兴洲¹, 包名家², 王环宇⁴

1. 佳木斯大学公共卫生学院, 黑龙江佳木斯 154002;
2. 佳木斯市疾病预防控制中心, 黑龙江佳木斯 154000;
3. 桦南县疾病预防控制中心, 黑龙江佳木斯 154400;
4. 传染病溯源预警与智能决策全国重点实验室, 中国疾病预防控制中心病毒病预防控制所虫媒室, 北京 102206

收稿日期:2024-01-02 出版日期:2024-06-20 发布日期:2024-06-29
通讯作者: 李兴洲,E-mail:lxzhwhd0454@126.com;包名家,E-mail:cdcbmj@126.com;王环宇,E-mail:wanghy@ivdc.chinacdc.cn
作者简介:侯泽英,女,在读硕士,主要从事虫媒病毒研究,E-mail：1052583809@qq.com;刘凤明,男,副主任医师,主要从事媒介生物监测研究,E-mail：15945445933@163.com
基金资助:
国家重点研发计划（2022YFC2302700）；科技基础资源调查专项（2022FY100904）

Detection of Songling virus from ticks in Huanan County, Heilongjiang Province, China

HOU Ze-ying¹, LIU Feng-ming², ZHAO Ji-min², LI Chun-yu³, LI De¹, WANG Rui-chen⁴, ZHANG Wei-jia⁴, YAO Xiao-hui⁴, LI Fan⁴, NIE Kai⁴, FU Shi-hong⁴, YIN Qi-kai⁴, CUI Qian-qian⁴, XU Song-tao⁴, LI Xing-zhou¹, BAO Ming-jia², WANG Huan-yu⁴

1. School of Public Health, Jiamusi University, Jiamusi, Heilongjiang 154002, China;
2. Jiamusi Center for Disease Control and Prevention, Jiamusi, Heilongjiang 154000, China;
3. Huanan Center for Disease Control and Prevention, Jiamusi, Heilongjiang 154400, China;
4. Department of Arbovirus, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China

Received:2024-01-02 Online:2024-06-20 Published:2024-06-29
Supported by:
National Key R&D Program of China (No. 2022YFC2302700); Science & Technology Fundamental Resources Investigation Program (No. 2022FY100904)

摘要/Abstract

摘要： 目的对2023年采集自黑龙江省佳木斯市桦南县的蜱标本进行松岭病毒筛查。方法采用形态学方法对蜱标本进行分类鉴定,反转录实时荧光定量聚合酶链式反应（RT-qPCR）方法对采集的蜱标本进行松岭病毒（Songling virus,SGLV）筛查,并通过Sanger测序法获得阳性病毒基因序列信息。结果共采集421只蜱标本,包括森林革蜱184只（43.71%）,全沟硬蜱115只（27.32%）,日本血蜱32只（7.60%）,嗜群血蜱43只（10.21%）,长角血蜱7只（1.66%）及未鉴定若蜱40只（9.50%）,其中1只雌性嗜群血蜱（编号：2023JMS365）经RT-qPCR检测为SGLV核酸阳性。系统进化分析显示,2023JMS365基因组L、M和S节段与SGLV参考株HLJ1202株的核苷酸一致性分别为96.78%、92.11%和97.59%,氨基酸一致性分别为99.22%、97.50%和93.28%。结论首次在黑龙江省佳木斯市桦南县的嗜群血蜱中检测到松岭病毒。

关键词: 蜱媒病毒, 松岭病毒, 嗜群血蜱

Abstract: Objective To detect Songling virus and distribution in ticks collected from Huanan County, Jiamusi, Heilongjiang Province China in 2023.Methods Tick species was identified using morphological methods. The collected tick specimens were examined for Songling virus (SGLV) by using reverse transcription real-time fluorescence quantitative polymerase chain reaction (RT-qPCR). Positive products were sequenced by Sanger sequencing.Results A total of 421 tick specimens were collected, included Dermacentor silvarum (184, 43.71%), Ixodes persulcatus (115, 27.32%), Haemaphysalis japonica (32, 7.60%), H. concinna (43, 10.21%), H. longicornis (7, 1.66%), and 40 unrecognized nymphs (9.50%). Among them, one female H. concinna (ID: 2023JMS365) was tested positive for SGLV nucleic acids by RT-qPCR. The phylogenetic analysis revealed that the nucleotide identencies of the L, M, and S segments of the 2023JMS365 genome were 96.78%, 92.11%, and 97.59% respectively with the SGLV reference strain HLJ1202, and the amino acid identencies were 99.22%, 97.50%, and 93.28%, respectively.Conclusion SGLV was first detected in H. concinna ticks in Huanan County, Jiamusi City.

Key words: Tick-borne virus, Songling virus, Haemaphysalis concinna

中图分类号:

侯泽英, 刘凤明, 赵继民, 李春雨, 李德, 王瑞晨, 张维嘉, 姚晓慧, 李樊, 聂凯, 付士红, 殷启凯, 崔倩倩, 许松涛, 李兴洲, 包名家, 王环宇. 黑龙江省桦南县蜱中松岭病毒的检测[J]. 中国媒介生物学及控制杂志, 2024, 35(3): 358-362.

HOU Ze-ying, LIU Feng-ming, ZHAO Ji-min, LI Chun-yu, LI De, WANG Rui-chen, ZHANG Wei-jia, YAO Xiao-hui, LI Fan, NIE Kai, FU Shi-hong, YIN Qi-kai, CUI Qian-qian, XU Song-tao, LI Xing-zhou, BAO Ming-jia, WANG Huan-yu. Detection of Songling virus from ticks in Huanan County, Heilongjiang Province, China[J]. Chinese Journal of Vector Biology and Control, 2024, 35(3): 358-362.

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黑龙江省桦南县蜱中松岭病毒的检测

Detection of Songling virus from ticks in Huanan County, Heilongjiang Province, China

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