中国牛冠状病毒的流行和进化特征

Siyuan Li, Jin Huang, Xuhang Cai, Li Mao, Lingling Xie, Fu Wang, Hua Zhou, Xuesong Yuan, Xinru Sun, Xincheng Fu, B. Fan, Xingang Xu, Jizong Li, Bin Li
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引用次数: 0

摘要

牛冠状病毒(BCoV)、牛轮状病毒、牛病毒性腹泻病毒和牛星状病毒是导致牛腹泻的最常见肠道致病病毒。我们在 2020 年 1 月至 2023 年 8 月期间采集了 1646 份牛粪便样本。BCoV 是检测到的主要病原体,阳性率为 34.02%(560/1646)。在 670 份腹泻样本和 976 份无症状样本中,分别有 209 份和 351 份 BCoV 阳性。对 BCoV 相关腹泻的研究表明,感染后腹泻症状的出现与牛的年龄密切相关,也可能与牛的品种有关。我们对部分阳性样本的血凝素酯酶(HE)、尖峰蛋白和全基因组进行了扩增和测序,获得了 6 个完整的 HE 序列、7 个完整的尖峰序列和 6 个全基因组。分子鉴定结果表明,6株菌株分别为GⅡb亚群的中国分支菌株、日本菌株和部分美国菌株。菌株HBSJZ2202和JSYZ2209在HE上有四个氨基酸插入。我们还分析了 ORF1a,发现 GIIb 内不同区域的差异,这些区域在系统发生树中分别位于不同的分支上。这项工作为进一步研究 BCoV 的流行病学以及了解和分析 BCoV 的分布和动态提供了数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence and Evolutionary Characteristics of Bovine Coronavirus in China
Bovine coronavirus (BCoV), bovine rotavirus, bovine viral diarrhea virus, and bovine astrovirus are the most common intestinal pathogenic viruses causing diarrhea in cattle. We collected 1646 bovine fecal samples from January 2020 to August 2023. BCoV was the major pathogen detected, with a positive rate of 34.02% (560/1646). Of the 670 diarrheal samples and 976 asymptomatic samples, 209 and 351 were BCoV-positive, respectively. Studying the relevance of diarrhea associated with BCoV has shown that the onset of diarrheal symptoms post-infection is strongly correlated with the cattle’s age and may also be related to the breed. We amplified and sequenced the hemagglutinin esterase (HE), spike protein, and whole genomes of the partially positive samples and obtained six complete HE sequences, seven complete spike sequences, and six whole genomes. Molecular characterization revealed that six strains were branched Chinese strains, Japanese strains, and partial American strains from the GⅡb subgroup. Strains HBSJZ2202 and JSYZ2209 had four amino acid insertions on HE. We also analyzed ORF1a and found disparities across various regions within GIIb, which were positioned on separate branches within the phylogenetic tree. This work provides data for further investigating the epidemiology of BCoV and for understanding and analyzing BCoV distribution and dynamics.
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