一株罕见G4P[6]-I5-A8基因型人轮状病毒全基因组序列分析
Whole-genome analysis of a rare human rotavirus strain of genotype G4P[6]-I5-A8
车如意 1周杰英 2范佳欣 1唐晓苹 1董梦洁 1熊光萍 1孙晓曼 1王宏 1章青 1庞立丽 1孔翔羽 1李丹地1
作者信息
- 1. 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国家卫生健康委员会医学病毒和病毒病重点实验室,北京 102206
- 2. 郴州市第一人民医院 423000
- 折叠
摘要
目的 研究一株G4P[6]基因型A组轮状病毒(group A rotavirus,RVA)CZ079的全基因组特征及进化规律.方法 利用逆转录-聚合酶链式反应(reverse transcription-polymerase chain reaction,RT-PCR)对 CZ079 的 VP7、VP4、VP6、NSP1 节段分别进行 RT-PCR 扩增,通过在线RVA自动分型工具对其分型,采用DNAstar5.1和Mega 11.0软件对各节段进行同源性及遗传进化分析.结果 CZ079 毒株基因型为 G4-P[6]-I5-R 1-C1-M1-A8-N1-T1-E1-H1.VP6 为 I5 型,NSP1为A8型.CZ079与LLRTM、RotaTeqTM和RotarixTM三种疫苗株在VP7的抗原表位中7-1b区域均存在氨基酸差异;VP4蛋白裂解后的VP8*抗原表位中8-1、8-2、8-3、8-4、5-1区域存在较大差异.结论2022年RVA毒株CZ079为罕见的G4P[6]-I5-A8型,推测该基因型RVA是由越南等东南亚地区传入中国,与中国RVA发生重配产生的新型重配毒株.
Abstract
Objective To study the whole genome characteristics and evolutionary pattern of a genotype G4P[6]strain of group A rotavirus(RVA)CZ079 in China.Methods The genomic segments of CZ079,VP7,VP4,VP6 and NSP1 were amplified by reverse transcription polymerase chain reaction(RT-PCR),and the genotyping used online RVA automatic typing tool.DNAstar 5.1 and MEGA 11.0 were used in homology and genetic evolution analyses.Results The genotype of the CZ079 strain was G4-P[6]-I5-R1-C1-M1-A8-N1-T1-E1-H1.The typing by VP6 was type I5,and type A8 by NSP1.The amino acid differences were found between CZ079 and all three vaccine strains of LLRTM,RotaTeqTM and RotarixTM in the region 7-1b within the antigenic epitopes of VP7.After degradation of VP4,the 8-1,8-2,8-3,8-4 and 5-1 regions of VP8*antigenic epitopes showed large differences.Conclusions The RVA strain CZ079 detected in China in 2022 was a rare strain of genotype G4P[6]-I5-A8.It is hypothesized that this genotype of RVA was imported to China from Vietnam and other Southeast Asian regions,and formed a new reassortment strain by reassortment with RVA strains in China.
关键词
A组轮状病毒/基因型/重配株/全基因组/抗原表位Key words
Group A rotavirus/Genotype/Reassortant/Phylogenetic analysis/Antigenic epitopes引用本文复制引用
出版年
2024
NETL
NSTL
万方数据