Transcriptomic response of an algal species (raphidocelis subcapitata) exposed to 22 per- and polyfluoroalkyl substances.

Abstract

Per- and polyfluoroalkyl substances (PFAS) are a large class of chemicals of concern for both human and environmental health because of their ubiquitous presence in the environment, persistence, and potential toxicological effects. Despite this, ecological hazard data are limited to a small number of PFAS even though there are over 4000 identified PFAS. Traditional toxicity testing will likely be inadequate to generate necessary hazard information for risk assessment. Therefore, the present study investigated the utility of using transcriptomic points of departure (tPODs) for informing PFAS algal toxicity. Raphidocelis subcapitata, a freshwater green algal species, were exposed for 24 hours in 96 well microplates to multiple concentrations of 22 different PFAS. Following exposure, RNA was extracted, and the transcriptome was evaluated by RNA sequencing followed by concentration response modeling to determine a tPOD for each PFAS. PFAS tPODs, based upon measured concentrations, ranged from 0.9 µg/L for perfluorotridecanoic acid to 1 mg/L for perfluorononanoic acid. These values derived from R. subcapitata exposures were compared to published hazard benchmarks from other taxa (larval fathead minnow and Daphnia magna) and in vitro data. While R. subcapitata was generally more sensitive to the tested PFAS than previously tested taxa and in vitro assays, the algal tPODs were, on average, three orders magnitude greater than the maximum concentrations of PFAS detected in Great Lakes tributaries. This high throughput transcriptomics assay with algae is a promising new approach method for an ecologically relevant, tiered hazard evaluation strategy.