Many viruses significantly impact human and animal health. Understanding the population dynamics of these viruses and their hosts can provide important insights for epidemiology and virus evolution. Puumala virus (PUUV) is a European hantavirus that may cause regional outbreaks of hemorrhagic fever with renal syndrome in humans. Here, we analyzed the spatiotemporal dynamics of PUUV circulating in local populations of its rodent reservoir host, the bank vole (Myodes glareolus) during eight years. Phylogenetic and population genetic analyses of all three genome segments of PUUV showed strong geographical structuring at a very local scale. There was a high temporal turnover of virus strains in the local bank vole populations, but several virus strains persisted through multiple years. Phylodynamic analyses showed no significant changes in the local effective population sizes of PUUV, although vole numbers and virus prevalence fluctuated widely. Microsatellite data demonstrated also a temporally persisting subdivision between local vole populations, but these groups did not correspond to the subdivision in the virus strains. We conclude that restricted transmission between vole populations and genetic drift play important roles in shaping the genetic structure and temporal dynamics of PUUV in its natural host which has several implications for zoonotic risks of the human population.
The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographical information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus-irrespective of whether nucleotide or derived amino acid sequences were analysed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3700 and 2500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods, and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.
Puumala virus (PUUV) is one of the predominant hantavirus species in Europe causing mild to moderate cases of haemorrhagic fever with renal syndrome. Parts of Lower Saxony in north-western Germany are endemic for PUUV infections. In this study, the complete PUUV genome sequence of a bank vole-derived tissue sample from the 2007 outbreak was determined by a combined primer-walking and RNA ligation strategy. The S, M and L genome segments were 1,828, 3,680 and 6,550 nucleotides in length, respectively. Sliding-window analyses of the nucleotide sequences of all available complete PUUV genomes indicated a non-homogenous distribution of variability with hypervariable regions located at the 3'-ends of the S and M segments. The overall similarity of the coding genome regions to the other PUUV strains ranged between 80.1 and 84.7 % at the level of the nucleotide sequence and between 89.5 and 98.1 % for the deduced amino acid sequences. In comparison to the phylogenetic trees of the complete coding sequences, trees based on partial segments revealed a general drop in phylogenetic support and a lower resolution. The Astrup strain S and M segment sequences showed the highest similarity to sequences of strains from geographically close sites in the Osnabrück Hills region. In conclusion, a primer-walking-mediated strategy resulted in the determination of the first complete nucleotide sequence of a PUUV strain from Central Europe. Different levels of variability along the genome provide the opportunity to choose regions for analyses according to the particular research question, e.g., large-scale phylogenetics or within-host evolution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.