Environmental DNA‐based detection of pathogens in trade and captive settings: Best practices and validation for Batrachochytrium salamandrivorans

Abstract

Abstract Detecting pathogens in the live animal trade is critical for tracking and preventing their movement, introduction and spillover into susceptible fauna. However, the scale of the live animal trade makes individually testing animals infeasible for all but the most economically important taxa. For instance, while the fungal pathogen, Batrachochytrium salamandrivorans (Bsal), threatens amphibian, particularly caudate diversity, in Europe and the Americas, screening even a fraction of the millions of live amphibians imported into the United States, alone, is impractically laborious and expensive. A promising alternative to individual‐level sampling (e.g. swabbing the skin of salamanders) is to instead collect DNA from the animals' environment (e.g. housing container or water) which allows us to screen a whole group of animals at a time. We used a series of experiments with Bsal‐spiked water and substrates and experimentally infected rough‐skinned newts (Taricha granulosa) to determine which methods yield the most Bsal environmental DNA (eDNA) and evaluate the capacity of these methods to detect Bsal‐infected animals in conditions found in captive settings and trade. We found that filtering water housing infected animals for even an hour can consistently recover detectable levels of Bsal eDNA, that there is little evidence of Bsal eDNA being clumped in housing containers or swamped or inhibited by dirty housing containers, and that eDNA‐based methods achieves an equivalent or higher chance of detecting Bsal infections in a (virtual) population of co‐housed newts with fewer samples than individual swabs. By sampling the genetic materials accumulated from a whole group of animals, eDNA‐based methods are a powerful means of detecting pathogens, such as Bsal, in shipments and captive populations. These methods bring routine pathogen surveillance into reach in many more contexts and can thus be an important tool in conservation and disease control.

Keywords

• emerging infectious disease
• live animal trade
• pathogen detection
• tools to prevent spillover