Environmental DNA Metabarcoding for Simultaneous Monitoring and Ecological Assessment of Many Harmful Algae

Abstract

Harmful algae can have profound economic, environmental, and social consequences. As the timing, frequency, and severity of harmful algal blooms (HABs) change alongside global climate, efficient tools to monitor and understand the current ecological context of these taxa are increasingly important. Here we employ environmental DNA metabarcoding to identify patterns in a wide variety of harmful algae and associated ecological communities in the Hood Canal of Puget Sound in Washington State, USA. We track trends of presence and abundance in a series of water samples across nearly two years. We find putative harmful algal sequences in a majority of samples, suggesting that these groups are routinely present in local waters. We report patterns in variants of the economically important genus Pseudo-nitzschia (family Bacillariaceae), as well as multiple harmful algal taxa previously unknown or poorly documented in the region, including a cold-water variant from the saxitoxin-producing genus Alexandrium (family Gonyaulacaceae), two variants from the karlotoxin-producing genus Karlodinium (family Kareniaceae), and one variant from the parasitic genus Hematodinium (family Syndiniaceae). We then use data on environmental variables and the biological community surrounding each algal taxon to illustrate the ecological context in which these species are commonly found. Environmental DNA metabarcoding thus simultaneously (1) alerts us to potential new or cryptic occurrences of harmful algae, (2) expands our knowledge of the co-occurring conditions and species associated with the growth of these organisms in changing marine environments, and (3) provides a tool for monitoring and management moving forward.