Genome-Scale Phylogeny and Evolutionary Analysis of Ross River Virus Reveals Periodic Sweeps of Lineage Dominance in Western Australia, 1977-2014
| Autor: | John S. Mackenzie, David Smith, Jay Nicholson, Alice Michie, Michael D. A. Lindsay, Andrew Jardine, Allison Imrie, Vijaykrishna Dhanasekaran, Peter J. Neville |
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| Rok vydání: | 2019 |
| Předmět: |
viruses
Immunology mosquito phylogeny Microbiology Genome Arbovirus Evolution Molecular Aedes camptorhynchus 03 medical and health sciences Ross River virus Phylogenetics Virology Genotype medicine Animals Humans alphavirus Evolutionary dynamics Epidemics 030304 developmental biology 0303 health sciences Genetic diversity Phylogenetic tree biology 030306 microbiology Alphavirus Infections virus diseases evolutionary analysis Western Australia biology.organism_classification medicine.disease arbovirus Genetic Diversity and Evolution Evolutionary biology Insect Science |
| Zdroj: | Journal of Virology |
| ISSN: | 1098-5514 |
| Popis: | Ross River virus (RRV) causes the most common mosquito-borne infection in Australia and causes a significant burden of suffering to infected individuals as well as being a large burden to the Australian economy. The genetic diversity of RRV and its evolutionary history have so far only been studied using partial E2 gene analysis with a limited number of isolates. Robust whole-genome analysis has not yet been conducted. This study generated 94 novel near-whole-genome sequences to investigate the evolutionary history of RRV to better understand its genetic diversity through comprehensive whole-genome phylogeny. A better understanding of RRV genetic diversity will enable better diagnostics, surveillance, and potential future vaccine design. Ross River virus (RRV), an alphavirus of the Togaviridae family, is the most medically significant mosquito-borne virus of Australia. Past RRV phylogenetic and evolutionary analyses have been based on partial genome analyses only. Three geographically distinct RRV lineages, the Eastern, the Western, and the supposedly extinct North-Eastern lineage, were classified previously. We sought to expand on past phylogenies through robust genome-scale phylogeny to better understand RRV genetic diversity and evolutionary dynamics. We analyzed 106 RRV complete coding sequences, which included 13 genomes available on NCBI and 94 novel sequences derived for this study, sampled throughout Western Australia (1977–2014) and during the substantial Pacific Islands RRV epidemic (1979–1980). Our final data set comprised isolates sampled over 59 years (1959–2018) from a range of locations. Four distinct genotypes were defined, with the newly described genotype 4 (G4) found to be the contemporary lineage circulating in Western Australia. The prior geographical classification of RRV lineages was not supported by our findings, with evidence of geographical and temporal cocirculation of distinct genetic groups. Bayesian Markov chain Monte Carlo (MCMC) analysis revealed that RRV lineages diverged from a common ancestor approximately 94 years ago, with distinct lineages emerging roughly every 10 years over the past 50 years in periodic bursts of genetic diversity. Our study has enabled a more robust analysis of RRV evolutionary history and resolved greater genetic diversity that had been previously defined by partial E2 gene analysis. IMPORTANCE Ross River virus (RRV) causes the most common mosquito-borne infection in Australia and causes a significant burden of suffering to infected individuals as well as being a large burden to the Australian economy. The genetic diversity of RRV and its evolutionary history have so far only been studied using partial E2 gene analysis with a limited number of isolates. Robust whole-genome analysis has not yet been conducted. This study generated 94 novel near-whole-genome sequences to investigate the evolutionary history of RRV to better understand its genetic diversity through comprehensive whole-genome phylogeny. A better understanding of RRV genetic diversity will enable better diagnostics, surveillance, and potential future vaccine design. |
| Databáze: | OpenAIRE |
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