Revised time scales of RNA virus evolution based on spatial information

Author:

Saxenhofer Moritz12,Weber de Melo Vanessa13,Ulrich Rainer G.45,Heckel Gerald12ORCID

Affiliation:

1. Computational and Molecular Population Genetics, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland

2. Swiss Institute of Bioinformatics, Quartier Sorge–Bâtiment Génopode, Lausanne, Switzerland

3. Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland

4. Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Novel and Emerging Infectious Diseases, Greifswald–Insel Riems, Germany

5. German Center for Infection Research (DZIF), partner site Hamburg–Luebeck–Borstel–Insel Riems, Germany

Abstract

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.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Deutsche Forschungsgemeinschaft

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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