Increased GII.3[P12] norovirus outbreaks and viral whole genome analysis in Beijing, China during 2021 and 2023.

IF 4 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Jiamei Fu, Lingyu Shen, Weihong Li, Yi Tian, Baiwei Liu, Yu Wang, Lei Jia, Zhaomin Feng, Daitao Zhang, Peng Yang, Zhiyong Gao, Quanyi Wang
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引用次数: 0

Abstract

Background: Norovirus is the predominant pathogen responsible for global acute gastroenteritis outbreaks and sporadic cases. While GII.3[P12] norovirus is typically associated with sporadic cases of acute gastroenteritis, outbreaks caused by this genotype increased sharply in Beijing from 2021 to 2023. This study aimed to characterize the GII.3[P12] norovirus outbreaks in Beijing from August 2021 to July 2023, analyze whole-genome sequences, and infer spread dynamics.

Results: GII.3[P12] outbreaks primarily occurred in winter and spring (90.68%, 107/118), concentrated in urban areas (56.78%, 67/118). Ninety-three outbreaks (78.81%, 93/118) were reported in kindergartens. Person-to-person transmission was the main route, accounting for 99.14% (115/116) of outbreaks with a defined route. The maximum clade credibility tree, constructed from partial viral capsid protein 1 and RNA-dependent RNA polymerase genes, showed that GII.3[P12] strains are clustered into three clades, aligning with analyses of 82 whole-genome sequences. Bayesian inference revealed that the most recent ancestor for the three clades of the maximum clade credibility tree based on whole-genome sequences was 2015.66, 2016.56, and 2017.71, respectively, and urban areas are key transmission hubs. The histo-blood group antigens binding sites were conserved, and there were some unique amino acid mutations in the open reading frame 1 region: clade 1 (V779I/D870G/K1004R/I1057V/I1521V), clade 2 (A21V/S195L/R278K/V779I/A782V/A791V/I850T/P1051S/V1091A/S1571T), and clade 3 (T701I).

Conclusions: Our study identified GII.3[P12] as the dominant strain in norovirus outbreaks in Beijing, China (2021-2023). We obtained 82 whole-genome sequences via next-generation sequencing, revealing amino acid mutation-driven evolution, inferring local transmission dynamics, and providing insights for outbreak control and vaccine development.

2021年和2023年北京地区诺如病毒暴发和病毒全基因组分析增加[P12]。
背景:诺如病毒是全球急性胃肠炎暴发和散发病例的主要病原体。虽然GII.3[P12]诺如病毒通常与散发性急性胃肠炎病例相关,但从2021年到2023年,该基因型在北京引起的疫情急剧增加。本研究旨在对2021年8月至2023年7月北京暴发的GII.3[P12]诺如病毒进行特征分析,分析全基因组序列,推断传播动态。结果:GII.3[P12]疫情主要发生在冬季和春季(90.68%,107/118),集中在城区(56.78%,67/118)。幼儿园共报告疫情93例(78.81%,93/118)。人际传播是主要传播途径,在有明确传播途径的疫情中占99.14%(115/116)。由部分病毒衣壳蛋白1和RNA依赖RNA聚合酶基因构建的最大进化支可信度树显示,GII.3[P12]菌株可聚为三个进化支,与82个全基因组序列分析结果一致。贝叶斯推断显示,基于全基因组序列的最大进化支可信度树的三个进化支的最近祖先分别为2015年66年、2016年56年和2017年71年,城市地区是主要的传播枢纽。组织血型抗原结合位点保守,开放阅读框1区存在一些独特的氨基酸突变:支系1 (V779I/D870G/K1004R/I1057V/I1521V)、支系2 (A21V/S195L/R278K/V779I/A782V/A791V/I850T/P1051S/V1091A/S1571T)和支系3 (T701I)。结论:本研究确定GII.3[P12]是中国北京(2021-2023)诺如病毒暴发的优势毒株。我们通过下一代测序获得了82个全基因组序列,揭示了氨基酸突变驱动的进化,推断了局部传播动力学,并为疫情控制和疫苗开发提供了见解。
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来源期刊
Gut Pathogens
Gut Pathogens GASTROENTEROLOGY & HEPATOLOGY-MICROBIOLOGY
CiteScore
7.70
自引率
2.40%
发文量
43
期刊介绍: Gut Pathogens is a fast publishing, inclusive and prominent international journal which recognizes the need for a publishing platform uniquely tailored to reflect the full breadth of research in the biology and medicine of pathogens, commensals and functional microbiota of the gut. The journal publishes basic, clinical and cutting-edge research on all aspects of the above mentioned organisms including probiotic bacteria and yeasts and their products. The scope also covers the related ecology, molecular genetics, physiology and epidemiology of these microbes. The journal actively invites timely reports on the novel aspects of genomics, metagenomics, microbiota profiling and systems biology. Gut Pathogens will also consider, at the discretion of the editors, descriptive studies identifying a new genome sequence of a gut microbe or a series of related microbes (such as those obtained from new hosts, niches, settings, outbreaks and epidemics) and those obtained from single or multiple hosts at one or different time points (chronological evolution).
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