摘要
目的 了解2017-2022年北京市某区GⅡ.2[P16]诺如病毒感染疫情的分子流行特征.方法 收集2017年1月至2022年12月北京市某区诺如病毒相关疫情信息及样本,应用实时荧光聚合酶链式反应(PCR)进行诺如病毒检测,阳性样本通过逆转录PCR扩增、测序和序列分析;并获得2022年诺如病毒的3株GⅡ.2[P16]全基因组序列.结果 2017年1月至2022年12月,共报告诺如病毒暴发137起,83起成功获得基因分型,其中GⅡ.2[P16]占35.04％(48/137),为主要基因型,其季节高峰在冬春季,主要发生在托幼机构和小学.根据基因组进化结果分析,本研究2022年3株G Ⅱ.2[P16]基因组在VP1与GⅡ.2[P16]亚群(2019-2022)同属一簇;RdRp区与GⅡ.2[P16]亚群(2018-2022)同属一簇.在非结构蛋白P48出现3个氨基酸变异,包括P44S、M163 T和V227I,在RdRp区出现一个氨基酸位点变异,为S1645C.结论 GⅡ.2[P16]是2017年1月至2022年12月引起北京市某区诺如病毒疫情的优势流行株,持续监测和基因组分析有助于全面了解流行株变异和进化机制.
Abstract
Objective To analyze the molecular epidemiological characteristic of norovirus epidemics caused by GⅡ.2[P1 6]variant in a district of Beijing and provide scientific evidence for the control of the outbreak.Methods All the samples collected from diarrhea epidemics in the district from 2017 to 2023 were detected by real-time fluorescence polymerase chain reaction(PCR)for norovirus RNA,The positive samples were amplified by reverse transcription PCR,and the gene homology and phylogenetic evolution were also used to determine the genotype,and 3 near-complete genome sequences of norovirus G Ⅱ.2[P1 6]were obtained.Results A total of 137 norovirus epidemics were reported in the district of Beijing from 2016 to 2019,the genotypes of norovirus were detected successfully for 83 epidemics and 35.04％of the epidemics(48/137)were caused by norovirus G Ⅱ.2[P16].The annual peak of the epidemic occurred in winter and spring.The epidemics mainly occurred in child care settings and primary schools.According to the phylogenetic analysis,the 3 near-complete genomes of GⅡ.2[P16]strains in this study belonged to the same cluster with GⅡ.2[P16]subgroup Sub(2019-2022)in VP1 region.The RdRp region and GⅡ.2[P16]subgroup Sub(2018-2022)belonged to the same cluster.Analysis on amino acid locus showed that 3 variation loci were found in the non-structural region of P48,including P44S,M163 T and V227I,and one variation locus(S1645C)in RdRp region.Conclusion GⅡ.2[P16]was the main genotype of norovirus causing epidemics in the district of Beijing from January 2017 to December 2022.Continuous surveillance and genomic analysis are helpful to find the variation and emergence of the epidemic strain.
基金项目
北京市顺义区卫生健康发展科研专项(Wsjkfzkyzx-2023-y-04)
北京市高层次公共卫生技术人才建设项目学科骨干培养项目(01-026)
NETL
NSTL
万方数据