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Epidemic of wild-origin H1NX avian influenza viruses in Anhui, China

Overview of attention for article published in Infectious Diseases of Poverty, July 2017
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Title
Epidemic of wild-origin H1NX avian influenza viruses in Anhui, China
Published in
Infectious Diseases of Poverty, July 2017
DOI 10.1186/s40249-017-0304-4
Pubmed ID
Authors

Ye Ge, Qiu-Cheng Yao, Xian-Fu Wang, Zhi-Qiang Fan, Guo-Hua Deng, Hong-Liang Chai, Hua-Lan Chen, Yu-Ping Hua

Abstract

As the natural hosts of avian influenza viruses (AIVs), aquatic and migratory birds provide a gene pool for genetic transfer among species and across species, forming transient "genome constellations." This work describes the phylogenetic dynamics of H1NX based on the complete molecular characterization of eight genes of viruses that were collected from 2014 to 2015 in Anhui Province, China. Hemagglutination and hemagglutination inhibition tests were used to determine the hemagglutination (HA) activity of the HA subtypes. The entire genomes of the viruses were sequenced on an ABI PRISM 3500xl DNA Analyzer. The sequences were genetically analysed to study their genetic evolution using DNASTAR and MEGA 6. The pathogenic effects of the viruses were evaluated using mouse infection models. Seven strains of the H1 subtype avian influenza virus were isolated. Phylogenetic analysis indicated natural recombination of the H1 influenza viruses between the Eurasian lineage and the North American lineage. Some genes had high sequence identity with A/bean goose/Korea/220/2011(H9N2), which is a typical case involving viral reassortment between the Eurasian lineage and the North American lineage. The results of infection experiments in mice showed that the viruses could acquire the ability to multiply in mouse respiratory organs without adaptation. These findings suggest that continued surveillance of wild birds, particularly migratory birds, is important to provide early warning of possible H1 influenza epidemics and to understand the ecology of the virus.

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The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Researcher 2 14%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Other 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Veterinary Science and Veterinary Medicine 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Nursing and Health Professions 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 3 21%