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      Paths toward implementing eDNA-based bioassessments across the United States

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      ARPHA Conference Abstracts

      Pensoft Publishers

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          Abstract

          In the United States, bioassessment is a key component of clean water assessment for each state and territory under federal guidelines. Yet, there is a patchwork of approaches implemented by different states that restricts geographic comparisons of water condition. At Jonah Ventures, we have reviewed approaches to implementation of bioassessment for each state and have recommendations for the adoption of aquatic eDNA metabarcoding to complement or replace current practices. States sample different organisms and assess biotic condition differently. For example, only 38 of 55 U.S. states and territories use or have developed methods for using fish assemblages in bioassessments of wadeable streams and rivers. States also differ in the analytical methods used to determine impairment. For benthic macroinvertebrate-based assessments, 2 states apply biotic indices, 35 multimetric indices, 2 predictive models, 2 no standard, and 9 a combination of approaches. Additionally, states vary in ecological values assigned to species, a result of geographic and methodological discrepancies. For instance, the common carp is considered tolerant of disturbance in most states, but not in Arkansas, Georgia, or Maryland. Adoption of eDNA-based bioassessments has the benefits of being cheaper and faster while providing higher taxon detection and resolution than traditional techniques. A single sample can be used to detect the presence or relative abundances of multiple biotic groups. As a result, sample collection can be democratized, and larger, more frequent datasets can be generated that cover a greater range of environments.As a first effort, in 2020, we collected over 100 filtered water samples from streams across the conterminous states. We sequenced multiple PCR replicates of each sample for a hypervariable region of the 12S rRNA gene using the MiFish-U primer set targeting bony fish. ESVs were then assigned to morphospecies taxonomy, and we calculated morphospecies trait-based and compositional metrics for each sample. Up to 18 species of fish were identified at a single site. We also began the process of developing de novo sequence-based ecological values and indices.Given recent advances in sample collection and processing, the path to adoption of eDNA-based assessment in the U.S. is clear:(1) Primer sets for benthic macroinvertebrates need to be improved.(2) Reference sequence libraries need to be expanded. As an example, only about one-third of the freshwater fish species in the U.S. have been sequenced to date. Although taxonomy-free assessments are viable, empirically managers will require taxon-specific information prior to adoption. Genome skimming is recommended for constructing full mitochondrial and chloroplast genome sequence libraries.(3) eDNA must be sampled across a broad gradient of sites that vary in their biogeography and stressors. We estimate about 10,000 samples across the U.S. should be sufficient to generate high-performing indices across the various ecoregions.(4) Analytical techniques must be rigorously tested, regionally calibrated, and consistently implemented across states. We favor an approach in which indices are calculated from gradients of ESV or taxon presence or relative abundances that can secondarily be interpreted based on specific ecological conditions - as opposed to a generalized stress gradient. The transition to eDNA-based bioassessments in the U.S. can likely be accomplished for <USD $20 million. We note that given the fundamental improvements of these techniques and the limitations of previous techniques, long-term datasets may become disjunct without rigorous methods comparisons and transition time. Yet, the benefits of this approach lie in the ability to generate consistent national maps of water quality, greater sampling density, and more accurate determination of causes of impaired quality.

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          Author and article information

          Journal
          ARPHA Conference Abstracts
          ACA
          Pensoft Publishers
          2603-3925
          March 04 2021
          March 04 2021
          : 4
          Article
          10.3897/aca.4.e64995
          © 2021

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