Inferring local movement of pathogen vectors among hosts

摘要: Herbivores often move among spatially interspersed host plants, tracking high-quality resources through space and time. This dispersal is of particular interest for vectors plant pathogens. Existing molecular tools to track such movement have yielded important insights, but provide insufficient genetic resolution infer spread at finer spatiotemporal scales. Here, we explore the use Nextera-tagmented reductively-amplified DNA (NextRAD) sequencing a highly-mobile winged insect, potato psyllid (Bactericera cockerelli), plants. The pathogen that causes zebra chip disease in (Solanum tuberosum), understanding managing this limited by uncertainty about insect′s plant(s) outside growing season. We identified 8,443 polymorphic loci psyllids separated spatiotemporally on or patches bittersweet nightshade (S. dulcumara), weedy proposed be source potato-colonizing psyllids. A subset exhibited close similarity insects nightshade, consistent with regular between these two However, second potato-collected was genetically distinct from those collected nightshade; suggests currently unrecognized host-plant species could contributing populations potato. Oftentimes, animal pathogens must tracked relatively fine scale order understand, predict, manage spread. demonstrate emerging technologies detect SNPs across vector′s entire genome can used localized movement.