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DNA and RNA zooplankton metabarcoding to assess the efficacy of different oil spill clean-up techniques in a boreal lake

Description: Emerging tools, namely metabarcoding, has promise for high-throughput and benchmarkable biomonitoring of freshwater zooplankton communities. Additionally, regulators require further information to select best practices for remediating freshwater ecosystems after oil spills. DNA and RNA metabarcoding, or present and active zooplankton, respectively, was applied to compare with traditional morphological identification of freshwater zooplankton in experimental boreal shoreline enclosures. DNA and RNA metabarcoding was also applied in the context of assessing response of the zooplankton community exposed to simulated spills of diluted bitumen (dilbit), with experimental remediation practices of enhanced monitored natural recovery and shoreline cleaner application. Zooplankton samples were collected via pump on day -3 and 11 and 38 days after the simulated dilbit spill. The zooplankton samples were co-extracted for DNA and RNA and were PCR amplified targeting the mitochondrial Cytochrome c Oxidase subunit I gene (CO1) region, with amplicon sequencing following. This dataset includes the demultiplexed sequencing output, the feature table with genus-level taxonomic annotation, and the sample metadata used for hypothesis testing. This dataset contains data from wetland habitat enclosures. Note that a similar study was conducted for rock habitat enclosures, with different analyses and interpretation being conducted on the data (dataset available at
Notes: Item exited embargo and became publicly available on 2021-06-01
Authors: Ankley, Phillip; University of Saskatchewan; ORCID iD 0000-0002-5883-6148
Xie, Yuwei; University of Saskatchewan; ORCID iD 0000-0001-5652-6413
Black, Tyler; University of Guelph
DeBofsky, Abigail; University of Saskatchewan; ORCID iD 0000-0003-3877-6421
Perry, McKenzie; University of Manitoba
Paterson, Michael; International Institute for Sustainable Development
Hanson, Mark; University of Manitoba
Higgins, Scott; International Institute for Sustainable Development
Giesy, John; University of Saskatchewan; ORCID iD 0000-0003-1931-9962
Palace, Vince; International Institute for Sustainable Development
Keywords: metabarcoding
mitochondrial CO1
next-generation sequencing
diluted bitumen
Field of Research: 
Earth and related environmental sciences
Natural environment sciences
Publication Date: 2021-06-01
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Canada First Research Excellence Fund (CFREF); Global Water Futures Program (GWF); 419205
Global Water Futures (GWF); Next generation solutions to ensure healthy water resources for future generations
Related Identifiers: 
Geographic Coverage: 
Place Name
International Institute for Sustainable Development – Experimental Lakes Area
Province /
Province / Territory
Geographic Point: 
Appears in Collections:Global Water Futures

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0)
Ankley, P., Xie, Y., Black, T., DeBofsky, A., Perry, M., Paterson, M., Hanson, M., Higgins, S., Giesy, J., Palace, V. (2021). DNA and RNA zooplankton metabarcoding to assess the efficacy of different oil spill clean-up techniques in a boreal lake. Federated Research Data Repository.