Allele dynamics plots for the study of evolutionary dynamics in viral populations
Open Access
- 18 October 2010
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 39 (1) , e4
- https://doi.org/10.1093/nar/gkq909
Abstract
Phylodynamic techniques combine epidemiological and genetic information to analyze the evolutionary and spatiotemporal dynamics of rapidly evolving pathogens, such as influenza A or human immunodeficiency viruses. We introduce ‘allele dynamics plots’ (AD plots) as a method for visualizing the evolutionary dynamics of a gene in a population. Using AD plots, we propose how to identify the alleles that are likely to be subject to directional selection. We analyze the method’s merits with a detailed study of the evolutionary dynamics of seasonal influenza A viruses. AD plots for the major surface protein of seasonal influenza A (H3N2) and the 2009 swine-origin influenza A (H1N1) viruses show the succession of substitutions that became fixed in the evolution of the two viral populations. They also allow the early identification of those viral strains that later rise to predominance, which is important for the problem of vaccine strain selection. In summary, we describe a technique that reveals the evolutionary dynamics of a rapidly evolving population and allows us to identify alleles and associated genetic changes that might be under directional selection. The method can be applied for the study of influenza A viruses and other rapidly evolving species or viruses.Keywords
This publication has 77 references indexed in Scilit:
- The Persistent Legacy of the 1918 Influenza VirusNew England Journal of Medicine, 2009
- Emergence of a Novel Swine-Origin Influenza A (H1N1) Virus in HumansNew England Journal of Medicine, 2009
- Emergence and pandemic potential of swine-origin H1N1 influenza virusNature, 2009
- Reliabilities of identifying positive selection by the branch-site and the site-prediction methodsProceedings of the National Academy of Sciences, 2009
- A Maximum Likelihood Method for Detecting Directional Evolution in Protein Sequences and Its Application to Influenza A VirusMolecular Biology and Evolution, 2008
- The genomic and epidemiological dynamics of human influenza A virusNature, 2008
- Simultaneous amino acid substitutions at antigenic sites drive influenza A hemagglutinin evolutionProceedings of the National Academy of Sciences, 2007
- A statistical phylogeography of influenza A H5N1Proceedings of the National Academy of Sciences, 2007
- The evolution of epidemic influenzaNature Reviews Genetics, 2007
- Comparison of complete amino acid sequences and receptor-binding properties among 13 serotypes of hemagglutinins of influenza A virusesVirology, 1991