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Section 1: Overview
Name of Research Project
Program Affiliations
Related Research Project(s)
GWF-NGS: Next Generation Solutions for Healthy Water Resources | |
Dataset Title
Wastewater discharges alter microbial community composition in surface waters of the Canadian prairies
Additional Information
Creators and Contributors
Esser, Milena | | milena.esser@usask.ca | University of Saskatchewan |
Hoggarth, Cameron | | | University of Saskatchewan |
Baulch, Helen | | | University of Saskatchewan |
Challis, Jonathan K. | | | University of Saskatchewan |
Xie, Yuwei | | | University of Saskatchewan |
Giesy, John P. | | | University of Saskatchewan |
Hecker, Markus | | | University of Saskatchewan |
Brinkmann, Markus | | | University of Saskatchewan |
Abstract
Freshwater ecosystems occupy only a small portion of the Earth's surface, but harbor a disproportionate amount of biodiversity that is particularly threatened by wastewater discharges, as one of the most common anthropogenic impact on these systems. As wastewater effluents are also sources of antimicrobial agents and other microorganisms, they reflect a particular threat to natural microbial communities within receiving rivers. Our knowledge about the impact of wastewater effluents on these communities is, however, largely unexplored. In this study, composition of microbial communities upstream and downstream of 5 different wastewater treatment plants within Southern Saskatchewan, Canada were examined. Three matrices, the water column, sediments, and biofilms attached to hard surfaces, 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.
Purpose
Plain Language Summary
Keywords
Microbial community analysis |
Metabarcoding |
Wastewater |
Pharmaceuticals |
Citations
Esser, M. , Hoggarth, C. , Baulch, H. , Challis, J. , Xie, Y. , Giesy, J. , Hecker, M. , Brinkmann, M. (2022) Wastewater discharges alter microbial community composition in surface waters of the Canadian prairies. Federated Research Data Repository.
https://doi.org/10.20383/103.0616
Section 3: Status and Provenance
Dataset Version
Dataset Creation Date
2022-08-19
Status of data collection/production
Dataset Completion or Abandonment Date
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
Total Size of all Dataset Files (GB)
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables