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Author: Anthony, Simon J.; Johnson, Christine K.; Greig, Denise J.; Kramer, Sarah; Che, Xiaoyu; Wells, Heather; Hicks, Allison L.; Joly, Damien O.; Wolfe, Nathan D.; Daszak, Peter; Karesh, William; Lipkin, W. I.; Morse, Stephen S.; Mazet, Jonna A. K.; Goldstein, Tracey
Title: Global patterns in coronavirus diversity
  • Document date: 2017_6_12
  • ID: tboc6zyd_26
    Snippet: The number of viral sequence clusters (richness) in each subclade was summarized by host family (Supplementary Table S1 ), and chi square tests used to evaluate whether viral subclade and host family were independent of each other. Bat species richness maps were then created to infer hotspots of CoV diversity. For each viral clade, spatial distribution data on all bat species belonging to associated families was obtained from the International U.....
    Document: The number of viral sequence clusters (richness) in each subclade was summarized by host family (Supplementary Table S1 ), and chi square tests used to evaluate whether viral subclade and host family were independent of each other. Bat species richness maps were then created to infer hotspots of CoV diversity. For each viral clade, spatial distribution data on all bat species belonging to associated families was obtained from the International Union for Conservation of Nature (IUCN). Using ArcGIS version 10 (ESRI 2011), bat species were quantified by counting overlapping polygons. The resulting count data were then converted to a raster and plotted. All sampled bats, as well as all identified sequence clusters within the clade in question, were then plotted over the raster data.

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