Publications tagged "virus discovery"

While host-virus association data form the backbone of a growing body of comparative work in virus ecology and evolution, knowledge of the wildlife virome is inherently constrained by historical discovery effort. This has led to concern about the reliability of conclusions drawn from currently-available data. By analysing a dataset of discovery dates for 6,571 unique mammal host-virus associations, we show that inference of relative viral richness across host species has been unstable over time. We therefore advise caution to avoid overinterpreting patterns in current data. More

We describe a machine learning model that identifies candidate zoonoses using evolutionary signals of host range encoded in viral genomes. This allows identification of high-risk viruses immediately upon discovery, increasing both the feasibility and likelihood of downstream virological and ecological characterization and allowing for evidence-driven virus surveillance. More

A case study in evaluating the zoonotic potential of newly-discoved viruses using molecular sequencing data. We highlight the value of evaluating zoonotic potential beyond ad hoc consideration of phylogeny and provide surveillance recommendations for novel viruses in a wildlife host which has frequent contact with humans and domestic animals. More