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Taxonomic patterns in the zoonotic potential of mammalian viruses.

Alex D WashburneDaniel E CrowleyDaniel J BeckerKevin J OlivalMatthew P TaylorVincent J MunsterRaina K Plowright
Published in: PeerJ (2018)
Predicting and simplifying which pathogens may spill over from animals to humans is a major priority in infectious disease biology. Many efforts to determine which viruses are at risk of spillover use a subset of viral traits to find trait-based associations with spillover. We adapt a new method-phylofactorization-to identify not traits but lineages of viruses at risk of spilling over. Phylofactorization is used to partition the International Committee on Taxonomy of Viruses viral taxonomy based on non-human host range of viruses and whether there exists evidence the viruses have infected humans. We identify clades on a range of taxonomic levels with high or low propensities to spillover, thereby simplifying the classification of zoonotic potential of mammalian viruses. Phylofactorization by whether a virus is zoonotic yields many disjoint clades of viruses containing few to no representatives that have spilled over to humans. Phylofactorization by non-human host breadth yields several clades with significantly higher host breadth. We connect the phylogenetic factors above with life-histories of clades, revisit trait-based analyses, and illustrate how cladistic coarse-graining of zoonotic potential can refine trait-based analyses by illuminating clade-specific determinants of spillover risk.
Keyphrases
  • genome wide
  • endothelial cells
  • sars cov
  • machine learning
  • gene expression
  • molecular dynamics
  • dna methylation
  • deep learning
  • molecular dynamics simulations