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

Ankley, Phillip

https://ror.org/010x8gc63

University of Saskatchewan

https://orcid.org/0000-0002-5883-6148

Xie, Yuwei

https://ror.org/010x8gc63

University of Saskatchewan

https://orcid.org/0000-0001-5652-6413

Black, Tyler

https://ror.org/01r7awg59

University of Guelph

DeBofsky, Abigail

https://ror.org/010x8gc63

University of Saskatchewan

https://orcid.org/0000-0003-3877-6421

Perry, McKenzie

https://ror.org/02gfys938

University of Manitoba

Paterson, Michael

https://ror.org/043zcks33

International Institute for Sustainable Development

Hanson, Mark

https://ror.org/02gfys938

University of Manitoba

Higgins, Scott

https://ror.org/043zcks33

International Institute for Sustainable Development

Giesy, John

https://ror.org/010x8gc63

University of Saskatchewan

https://orcid.org/0000-0003-1931-9962

Palace, Vince

https://ror.org/043zcks33

International Institute for Sustainable Development

2020-12-12T00:14:40Z

2021-06-01T06:00:00Z

2021-06-01

https://www.frdr-dfdr.ca/repo/dataset/9a0c1bd2-e06b-4bec-8f58-4314e32ba98e

https://doi.org/10.20383/101.0313

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 https://doi.org/10.20383/102.0332).

Federated Research Data Repository / dépôt fédéré de données de recherche

Creative Commons Attribution 4.0 International (CC BY 4.0)

https://creativecommons.org/licenses/by/4.0/

metabarcoding

zooplankton

mitochondrial CO1

next-generation sequencing

diluted bitumen

oil-spill

remediation

Boreal

Canada

freshwater

ecotoxicology

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

515c70c4-2eb8-4f2a-b406-7959b5edc28d

/6/published/publication_308/

2021

2019-06-18/2020-07-30

Dataset

https://doi.org/10.1016/j.aquatox.2021.105847

49.6964 -93.76752

International Institute for Sustainable Development – Experimental Lakes Area;-;Ontario;Canada

Canada First Research Excellence Fund (CFREF)

419205

Global Water Futures Program (GWF)

Global Water Futures (GWF)

Next generation solutions to ensure healthy water resources for future generations

RDF1051010

Earth and related environmental sciences

Natural environment sciences

Ecotoxicology

Sciences de la Terre et sciences de l'environnement connexes

Sciences du milieu naturel

Écotoxicologie

Item exited embargo and became publicly available on 2021-06-01