甲型流感病毒(IAV)感染是一个主要的公共卫生问题,包括每年的流行病,流行病暴发,和流行病。一次重要的IAV流行疫情是中国爆发的H7N9禽流感A,它在2013年首次被发现,从2013年到2017年已经传播了5波,在中国许多不同的省份引起人类感染。这里,来自20例不同临床结局的H7N9感染的局部患者的主要临床咽拭子样本的RNA,他们在上海一家医院入院治疗,中国,从2013年4月到2015年4月,进行了分析。全转录组扩增,随着IAVRNA的正富集,被执行,所有20个样本都进行了深度测序,并详细分析了16个样本的数据。许多单核苷酸多态性,包括以前没有报道的,观察到许多可能影响血凝素头部和茎抗体结合表位的非同义变化。代表病毒准种的小种群,包括在2016年至2017年最近一波H7N9感染中发现的抗原性变异H7N9进化枝共有的非同义血凝素变化,也被发现.重要性H7N9亚型禽流感病毒在2013年至2017年期间导致1,400多人感染,并导致近600人死亡。重要的是要了解禽流感病毒如何在人类中感染和引起疾病,并评估其有效的人与人之间传播的潜力。在这项研究中,我们使用主要临床材料的深度测序来评估H7N9流感病毒的进化和人类适应潜力.
Influenza A virus (IAV) infections are a major public health concern, including annual epidemics, epizootic outbreaks, and pandemics. A significant IAV epizootic outbreak was the H7N9 avian influenza A outbreak in
China, which was first detected in 2013 and which has spread over 5 waves from 2013 to 2017, causing human infections in many different Chinese provinces. Here, RNA from primary clinical throat swab samples from 20 H7N9-infected local patients with different clinical outcomes, who were admitted and treated at one hospital in Shanghai,
China, from April 2013 to April 2015, was analyzed. Whole-transcriptome amplification, with positive enrichment of IAV RNA, was performed, all 20 samples were subjected to deep sequencing, and data from 16 samples were analyzed in detail. Many single-nucleotide polymorphisms, including ones not previously reported, and many nonsynonymous changes that could affect hemagglutinin head and stalk antibody binding epitopes were observed. Minor populations representing viral quasispecies, including nonsynonymous hemagglutinin changes shared by antigenically variant H7N9 clades identified in the most recent wave of H7N9 infections in 2016 to 2017, were also identified.IMPORTANCE H7N9 subtype avian influenza viruses caused infections in over 1,400 humans from 2013 to 2017 and resulted in almost 600 deaths. It is important to understand how avian influenza viruses infect and cause disease in humans and to assess their potential for efficient person-to-person transmission. In this study, we used deep sequencing of primary clinical material to assess the evolution and potential for human adaptation of H7N9 influenza viruses.