2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

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5/22/2018 | 11:45 AM - 12:00 PM | USING OCCUPANCY MODELING TO COMPARE TRADITIONAL VERSUS DNA METABARCODING METHODS FOR CHARACTERIZING ZOOPLANKTON BIODIVERSITY IN LAKE SUPERIOR | 420 B

USING OCCUPANCY MODELING TO COMPARE TRADITIONAL VERSUS DNA METABARCODING METHODS FOR CHARACTERIZING ZOOPLANKTON BIODIVERSITY IN LAKE SUPERIOR

DNA metabarcoding tools could increase our ability to monitor changes in zooplankton biodiversity, as well as to detect newly-introduced invasive zooplankton taxa while still rare. Nonetheless, the use of DNA-metabarcoding for characterizing zooplankton biodiversity in the Great Lakes has not been fully explored. In summer 2016, we collected multiple zooplankton samples within the same locations extending from nearshore areas of Western Lake Superior to the open lake. Individual zooplankton taxa were sequenced and this genetic information will be added to online databases. We used occupancy modeling methods to explore whether DNA meta-barcoding increased the likelihood that individual zooplankton taxa would be detected when present. Zooplankton community composition showed high spatial variability. At least 16 of the 39 taxa we observed were rare, being typically detected in only 1/3 replicates at a site using traditional identification, which involves identifying subsamples. Occupancy modeling results that at least twice as many replicates would be needed to detect these taxa reliably using traditional ID (e.g., total replicates > 6). However, preliminary findings indicate that DNA metabarcoding could increase detectability of some zooplankton taxa, thus complementing traditional taxonomy in characterizing spatial patterns of zooplankton biodiversity.

Metagenomics
Spatial
Great Lakes

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Presenters/Authors

Christy Meredith (), NRC Fellow, USEPA, MED,Duluth MN, Meredith.Christy@epa.gov;