摘要
目的调查北京市市售牡蛎诺如病毒污染状况,并研究其分子特征。方法2014年2月至2015年3月在北京市某水产市场摊位采集市售牡蛎样品56件,每件5只,共280只。取牡蛎的消化腺组织进行病毒富集,应用real-timeRT-PCR方法检测样品的诺如病毒核酸。对阳性标本采用半巢式RT-PCR方法扩增诺如病毒衣壳蛋白区基因,PCR产物测序后采用BioEdit7.0.9.0软件进行序列比对。采用MEGA6.06软件构建进化树。结果56件样品中,诺如病毒检出率为37.50%(21/56),其中GⅡ组20件,GI和GⅡ组混合1件。冬季诺如病毒检出率最高(75.00%,15/20),其次为秋季(3/12)和春季(3/16),夏季未检出。6件GⅡ组诺如病毒阳性样本测序成功,其中4件为GⅡ.17型、1件为GⅡ.3型、1件GⅡ.18和GⅡ.4Sydney2012型混合。结论北京市市售牡蛎部分有诺如病毒污染,存在引起食源性疾病的风险。
Objective To investigate the contamination of norovirus in oysters sold in Beijing and to analyze the molecular characteristics. Methods From February, 2014 to March, 2015, 56 samples were collected from a seafood market in Beijing. Each sample was consisted of 5 oysters, totally 280 oysters. Norovirus nucleic acid was detected by Real-time RT-PCR. Norovirus capsid protein region was amplified by semi-nested RT-PCR from positive specimens. PCR products were sequenced directly. BioEdit 7.0.9.0 software was used for sequence alignment, and MEGA 6.06 software was used to construct the phylogenetic tree. Results The detection rate of norovirus was 37.50% (21/56), including twenty strains of genogroup GⅡ and one mixture strain of genogroups GⅠ and GⅡ. The detection rate of norovirus was the highest in winter (75.00%, 15/20), followed by autumn (3/12) and spring (3/16), and no detection in summer. Six norovirus-positive samples were successfully sequenced. Four GⅡ.17 strains, one GⅡ.3 strains, and one mixture strain of GⅡ.18 and GⅡ.4 Sydney 2012 strain were identified. Conclusions Norovirus contamination existed in some oysters sold in Beijing, indicating a risk of foodborne illness.
作者
严寒秋
高志勇
刘白薇
霍达
李伟红
贾蕾
王全意
Yan Hanqiu;Gao Zhiyong;Liu Baiwei;Huo Da;Li Weihong;Jia Lei;Wang Quanyi(Institute for Infectious Disease and Endemic Disease Control,Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning,Beijing Municipal Center for Disease Prevention and Control,Beijing Research Center for Preventive Medicine,Beijing 100013,China)
出处
《国际病毒学杂志》
2018年第6期386-388,共3页
International Journal of Virology
基金
北京市自然科学基金项目(7132045).