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Deep Sequencing of H7N9 Influenza A Viruses from 16 Infected Patients from 2013 to 2015 in Shanghai Reveals Genetic Diversity and Antigenic Drift
Author(s) -
Yongli Xiao,
Lili Ren,
Xi Zhang,
Li Qi,
John C. Kash,
Yan Xiao,
Fan Wu,
Jianwei Wang,
Jeffery K. Taubenberger
Publication year - 2018
Publication title -
msphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.749
H-Index - 39
ISSN - 2379-5042
DOI - 10.1128/mspheredirect.00462-18
Subject(s) - virology , antigenic drift , biology , influenza a virus subtype h5n1 , deep sequencing , transmission (telecommunications) , genetic diversity , h5n1 genetic structure , adaptation (eye) , antigenic shift , influenza a virus , virus , disease , gene , genome , genetics , covid-19 , medicine , infectious disease (medical specialty) , population , environmental health , pathology , neuroscience , electrical engineering , engineering
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.

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