| Title |
Amino acid substitutions in low pathogenic avian influenza virus strains isolated from wild birds in Korea
|
|---|---|
| Published in |
Virus Genes, March 2018
|
| DOI | 10.1007/s11262-018-1550-7 |
| Pubmed ID | |
| Authors |
Kwang-Hyun Oh, Jong-Suk Mo, Yeon-Ji Bae, Seung-Baek Lee, Van Dam Lai, Seung-Jun Wang, In-Pil Mo |
| Abstract |
Wild birds are natural hosts and reservoirs for influenza A viruses. However, many species, such as many waterfowl, are asymptomatic when infected and so facilitate the generation of viral genetic diversity. Mutations of key genes affect the replicability, pathogenicity, transmissibility, and antiviral resistance of influenza A viruses. In this study, we isolated avian influenza (AI) viruses from wild bird fecal samples and analyzed changes in amino acids over time and geographic region to monitor the biological change of the AI virus. Between 2014 and 2016, we collected 38,921 fresh fecal samples from major wild bird habitats located throughout Korea and isolated 123 AI viruses. We subsequently selected 22 amino acid sites to analyze for changes. These sites included ten sites associated with replication, ten sites associated with pathogenicity, three sites associated with transmission, and seven sites associated with antiviral resistance. We found substitution rates of 71.7% at the C38Y amino acid site within the polymerase basic protein 1 (PB1) gene, 66.7% at the D222G site within the hemagglutinin (HA) 1 gene, and 75.6% at the A184 site within the nucleoprotein (NP) gene. Alterations of the PB1, HA1, and NP genes are closely associated with increased pathogenicity in chickens and mammals. The remaining sites of interest exhibited few modifications. In this study, we confirmed that AI viruses circulating among wild birds in Korea consistently exhibit modifications at amino acid sites linked with replication and pathogenicity. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Researcher | 2 | 17% |
| Student > Bachelor | 2 | 17% |
| Unspecified | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Unspecified | 1 | 8% |
| Mathematics | 1 | 8% |
| Environmental Science | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 March 2018.
All research outputs
#20,472,403
of 23,031,582 outputs
Outputs from Virus Genes
#795
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Outputs of similar age
#291,736
of 330,380 outputs
Outputs of similar age from Virus Genes
#12
of 16 outputs
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