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Federated Research Data Repository / dépôt fédéré de données de recherche
Ankley, Phillip; Xie, Yuwei; Black, Tyler; DeBofsky, Abigail; Perry, McKenzie; Paterson, Michael; Hanson, Mark; Higgins, Scott; Giesy, John; Palace, Vince 2024-03-27 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). https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Federated Research Data Repository / dépôt fédéré de données de recherche
Ankley, Phillip; Xie, Yuwei; Havens, Sonya; Peters, Lisa; Timlick, Lauren; Rodriguez-Gil, Jose Luis; Giesy, John; Palace, Vince 2024-03-27 Zooplankton metabarcoding can provide a high-throughput method for characterizing community response to environmental stressors. There are issues, however, with inferring actual response to stressors using DNA metabarcoding as it cannot distinguish alive organisms within bulk samples. Here we used normalized vitality, namely RNA metabarcoding normalized by DNA metabarcoding, to characterize the zooplankton community response to environmental influence. 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 days -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. The dataset includes the demultiplexed sequencing output, the feature table with species-level taxonomic annotation, and the sample metadata. This dataset contains data from enclosures in rock and cobble substrate. Note that a similar study was conducted for wetland habitat enclosures, with different analyses and interpretation being conducted on the data (dataset available at https://doi.org/10.20383/101.0313). https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Federated Research Data Repository / dépôt fédéré de données de recherche
Ankley, Phillip; Graves, Stephanie; Xie, Yuwei; DeBofsky, Abigail; Weber, Alana; Brinkmann, Markus; Palace, Vince; Hecker, Markus; Janz, David; Giesy, John 2024-03-27 Selenium is an environmental contaminant of global concern that can cause adverse effects in fish at elevated levels. Fish gut microbiome play essential roles in gastrointestinal function and host health and can be perturbed by environmental contaminants, including metals and metalloids. Here, an in-situ selenium (Se) exposure of female finescale dace (Phoxinus neogaeus) using mesocosms at the International Institute for Sustainable Development - Experimental Lakes Area (IISD-ELA) was conducted to determine the impacts of Se accumulation on the gut microbiome and morphometric endpoints. 16S rDNA metabarcoding was employed to describe the gut microbiome. This dataset includes the demultiplexed sequencing output, the feature table with rarefied counts, the taxonomic annotations of sequences, and the sample metadata. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Federated Research Data Repository / dépôt fédéré de données de recherche
Weber, Alana; Xie, Yuwei; Challis, Jonathan; DeBofsky, Abigail; Ankley, Phillip; Hecker, Markus; Jones, Paul; Giesy, John 2024-03-27 This data is supplementary information regarding the effects of fluoxetine on the gut microbiome of Fathead Minnows when aqueously exposed to the compound. After a 28-day exposure to three different concentrations of fluoxetine; 0.01, 10 and 100 µg/L, or control (0 µg/L), fish were euthanized, and gut contents was collected. Using DNA extraction methods, PCR amplification and sequencing, bioinformatics was then performed to interpret the metagenomic data. All tests and data were collected between September 2019 and January 2021 at the University of Saskatchewan, Saskatoon, SK, Canada. This data was generated to better understand how pharmaceuticals found downstream of wastewater treatment plants may impact the gut microbiome of aquatic organisms. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Federated Research Data Repository / dépôt fédéré de données de recherche
Esser, Milena; Ankley, Phillip; Aubry-Wake, Caroline; Xie, Yuwei; Baulch, Helen; Hoggarth, Cameron; Hecker, Markus; Hollert, Henner; Giesy, John; Pomeroy, John W; Brinkmann, Markus 2024-03-27 Glacier ecosystems are shrinking at an accelerating rate due to changes in climate, but also due to increased deposition of soot, which has resulted in darkening of glacier surfaces and subsequent changes in absorption of light, associated heat, and altered microbial communities. In this study, compositions of microbial communities on surfaces of the Athabasca Glacier (Alberta, Canada) were measured by use of DNA metabarcoding. Three matrices, glacier ice, cryoconite hole, and glacial surface sediment, were analyzed. The samples were extracted for DNA and were PCR amplified targeting the hypervariable V3-V4 region of the 16S ribosomal RNA subunit I gene of prokaryotes, as well as the hypervariable V3 region of the 18S ribosomal RNA gene of eukaryotic organisms. Amplicons were sequenced performing a 600-cycle paired-end sequencing run on an Illumina® MiSeq sequencer. This dataset includes the demultiplexed sequencing output, the feature table with taxonomic annotation, and the sample metadata. https://creativecommons.org/licenses/by/4.0/

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