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Published on: August 29, 2017
Ubiquitous reassortments in influenza A viruses
Xiu-Feng Wan1, Mufit Ozden, Guohui Lin
1Systems Biology Laboratory, Department of Microbiology, Miami University, Oxford, OH 45056, USA. wanhenry@yahoo.com
Abstract:
The influenza A virus is a negative-stranded RNA virus composed of eight segmented RNA molecules, including polymerases (PB2, PB1, PA), hemagglutinin (HA), nucleoprotein (NP), neuraminidase (NA), matrix protein (MP), and nonstructure gene (NS). The influenza A viruses are notorious for rapid mutations, frequent reassortments, and possible recombinations. Among these evolutionary events, reassortments refer to exchanges of discrete RNA segments between co-infected influenza viruses, and they have facilitated the generation of pandemic and epidemic strains. Thus, identification of reassortments will be critical for pandemic and epidemic prevention and control. This paper presents a reassortment identification method based on distance measurement using complete composition vector (CCV) and segment clustering using a minimum spanning tree (MST) algorithm. By applying this method, we identified 34 potential reassortment clusters among 2,641 PB2 segments of influenza A viruses. Among the 83 serotypes tested, at least 56 (67.46%) exchanged their fragments with another serotype of influenza A viruses. These identified reassortments involve 1,957 H2N1 and 1,968 H3N2 influenza pandemic strains as well as H5N1 avian influenza virus isolates, which have generated the potential for a future pandemic threat. More frequent reassortments were found to occur in wild birds, especially migratory birds. This MST clustering program is written in Java and will be available upon request.
Insights
Influenza A virus reassortment, the exchange of gene segments, is identified using a novel distance measurement and clustering method. This study reveals widespread reassortment among influenza A virus serotypes, highlighting pandemic threats and avian sources.
Area of Science:
- Virology
- Molecular Biology
- Epidemiology
Background:
- Influenza A viruses possess segmented RNA genomes, facilitating genetic reassortment.
- Reassortment events are critical drivers of influenza virus evolution, leading to epidemic and pandemic strains.
- Effective pandemic prevention requires accurate identification of influenza A virus reassortments.
Purpose of the Study:
- To develop and apply a novel method for identifying reassortment events in influenza A viruses.
- To quantify the extent of reassortment across different influenza A virus serotypes.
- To investigate the potential pandemic threat posed by identified reassortments.
Main Methods:
- A reassortment identification method was developed using complete composition vector (CCV) for distance measurement.
- Segment clustering was performed using a minimum spanning tree (MST) algorithm.
- The method was applied to analyze 2,641 PB2 segments from influenza A viruses.
Main Results:
- The study identified 34 potential reassortment clusters among 2,641 PB2 segments.
- A significant proportion (67.46%) of the 83 tested influenza A virus serotypes exhibited reassortment.
- Identified reassortments involved pandemic strains (H2N1, H3N2) and avian influenza (H5N1), indicating potential future pandemic threats.
- Wild birds, particularly migratory species, showed more frequent reassortment events.
Conclusions:
- The developed CCV and MST-based method effectively identifies influenza A virus reassortments.
- Widespread genetic reassortment among influenza A viruses poses a significant pandemic risk.
- Avian influenza viruses, especially in wild migratory birds, are key reservoirs for reassortment events.
- Continued surveillance and analysis of reassortment are crucial for global health security.
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