| 基于第12节段基因序列的版纳病毒分子遗传进化分析 |
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| 引用本文： | 刘红,高晓艳,付士红,李铭华,翟友刚,孟维珊,孙肖红,王环宇,吕志,申辛欣,曹玉玺,何英,梁国栋.基于第12节段基因序列的版纳病毒分子遗传进化分析[J].中华流行病学杂志,2016,37(9):1277-1282. |
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| 作者姓名： | 刘红 高晓艳 付士红 李铭华 翟友刚 孟维珊 孙肖红 王环宇 吕志 申辛欣 曹玉玺 何英 梁国栋 |
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| 作者单位： | 255000 淄博, 山东理工大学生命科学学院生物技术系;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室;102206 北京, 中国疾病预防控制中心病毒病预防控制所脑炎室 |
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| 基金项目： | 国家自然科学基金重大项目（81290342）；国家自然科学基金（81301479，81501757）；山东省自然科学基金（ZR2013HQ008）；传染病预防和控制重点实验室发展项目（2014SKLID103） |
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| 摘 要： | 目的 了解自1980-2012年在世界各地分离的版纳病毒分子遗传进化特征。方法 采用多种生物信息学分析方法，对1980-2012年我国及世界各地分离的版纳病毒进行基于第12节段基因序列的系统进化、分子溯源分析。结果 版纳病毒的共同进化祖先出现时间为315（95% HPD：63～619）年前，第12节段的进化速率为2.33×10-3（95% HPD：2.84×10-4～8.52×10-3）碱基替换/位点/年，提示版纳病毒属于新发快速进化的虫媒病毒。结论 版纳病毒属于快速进化的新发虫媒病毒，其地域分布范围进一步扩大且已经分化出新的病毒变种，应加强对该病毒在自然界分布及其致病性的监测。
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| 关 键 词： | 版纳病毒 虫媒病毒 系统进化分析 |
| 收稿时间： | 2016/3/7 0:00:00 |
Analysis on molecular genetic evolution of Banna virus based on the 12th segment |
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| Liu Hong,Gao Xiaoyan,Fu Shihong,Li Minghu,Zhai Yougang,Meng Weishan,Sun Xiaohong,Wang Huanyu,Lyu Zhi,Shen Xinxin,Cao Yuxi,He Ying and Liang Guodong.Analysis on molecular genetic evolution of Banna virus based on the 12th segment[J].Chinese Journal of Epidemiology,2016,37(9):1277-1282. |
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| Authors: | Liu Hong Gao Xiaoyan Fu Shihong Li Minghu Zhai Yougang Meng Weishan Sun Xiaohong Wang Huanyu Lyu Zhi Shen Xinxin Cao Yuxi He Ying and Liang Guodong |
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| Institution: | School of Life Sciences, Shandong University of Technology, Zibo 255000, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Department of Virual Encephalitis, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China |
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| Abstract: | Objective To understand the evolution characteristics of Banna viruses (BAVs) isolated worldwide from 1980 to 2012. Methods In this study, a phylogenetic analysis using Bayesian Markov Chain Monte Carlo simulations was conducted on all available 12th segment of genes of BAVs isolated worldwide from 1980 to 2012 to investigate the evolutionary and epidemiologic dynamics of BAVs. Results The Bayesian phylogenetic analysis of BAVs revealed that the common ancestor of BAVs appeared 315 (95%HPD:63-619) years ago. The evolutionary rate of BAV based on the 12th segment gene was estimated to be 2.33×10-3 (95%HPD:2.84×10-4-8.52×10-3) substitution per site per year, indicating BAV belong to an emerging arbovirus with rapid evolution. Conclusion The evolution of emerging BAVs is rapid and the distribution of BAVs has expanded with new variant being detected, so it is necessary to enhance the surveillance to fully understand the natural distribution and pathogenicity of BAVs. |
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| Keywords: | Banna virus Arbovirus Phylogenetic analysis |
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