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Abstract
How virulence evolves after a virus jumps to a new host species is central to disease emergence. Our current understanding of virulence evolution is based on insights drawn from two perspectives that have developed largely independently: long-standing evolutionary theory based on limited real data examples that often lack a genomic basis, and experimental studies of virulence-determining mutations using cell culture or animal models. A more comprehensive understanding of virulence mutations and their evolution can be achieved by bridging the gap between these two research pathways through the phylogenomic analysis of virus genome sequence data as a guide to experimental study.
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Affiliation(s)
- Jemma L Geoghegan
- Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Edward C Holmes
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.
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Wang C, Lyu N, Deng L, Wang J, Gu W, Ding H, Wu Y, Luo J, Wang L, Lyv X, Liu X, Tao Y, He H. Evolutionary Pattern and Large-Scale Architecture of Mutation Networks of 2009 A (H1N1) Influenza A Virus. Front Genet 2018; 9:204. [PMID: 29951084 PMCID: PMC6008563 DOI: 10.3389/fgene.2018.00204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/22/2018] [Indexed: 11/15/2022] Open
Abstract
The adaptive evolution of influenza virus is an important question, but predicting its evolutionary future will be more challenging. Here, we investigated the mutation characteristic of influenza virus based on the complete genome data of 2009 (H1N1) influenza A virus. By assuming that evolution proceeds via the accumulation of mutations, we analyzed the mutation networks at four different time stages and found that the network structure follows the characteristics of a scale-free network. These results will be important for epidemiology and the future control of influenza viruses. Furthermore, we predicted the predominant mutation virus strain by using the early mutation network of influenza viruses, and this result was consistent with the WHO recommendation for the candidate vaccine of influenza virus. The key contribution of this study is that we explained the biological significance of this scale-free network for influenza pandemic and provided a potential method for predicting the candidate vaccine by using the early-stage network.
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Affiliation(s)
- Chengmin Wang
- Key Lab of Animal Ecology and Conservation Biology, National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Nan Lyu
- Key Lab of Animal Ecology and Conservation Biology, National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Lingling Deng
- Key Lab of Animal Ecology and Conservation Biology, National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jing Wang
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Wenwen Gu
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Ding
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Wu
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jing Luo
- Key Lab of Animal Ecology and Conservation Biology, National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Liang Wang
- Beijing Animal Husbandry Station, Beijing, China
| | - Xueze Lyv
- Beijing Animal Husbandry Station, Beijing, China
| | - Xiaodong Liu
- Beijing Animal Husbandry Station, Beijing, China
| | - Yi Tao
- Key Lab of Animal Ecology and Conservation Biology, National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hongxuan He
- Key Lab of Animal Ecology and Conservation Biology, National Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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