Quantitative delineation of herpesviruses in bats for use in ecological studies

Abstract

Public health concerns about recent viral epidemics have motivated researchers to seek transdisciplinary understanding of infection in wildlife hosts. With its deep history devoted to explaining the abundance and distribution of organisms, ecology can augment current methods for studying viral dynamics. However, datasets allowing ecological explorations of viral communities are lacking, and common methods for delineating viral operational taxonomic units (OTUs), or "species", are subjective. Here, we comprehensively sampled 1,086 bats from two Puerto Rican caves and tested them for infection with herpesviruses. Using percent identity of nucleotides and a machine learning algorithm, we categorized herpesviruses into 41 OTUs, representing approximately 80% of all herpesviruses in the host community. Although 13 OTUs were detected in multiple host species, OTUs generally exhibited host specificity by infecting a core host species at a significantly higher prevalence than in all other species combined. Only two OTUs showed significantly different prevalence between host sexes. This work is the first exploration of viral community ecology in a community of wildlife hosts.