Abstract

Wastewater treatment plant (WWTP) discharges alter water quality and microbial communities by introducing human-associated bacteria in the environment and by altering microbial communities. To fully understand this impact, it is crucial to study whether WWTP discharges affect water and sediments microbial communities in comparable ways and whether such effects depend on specific environmental variables. Here, we present a dataset investigating the impact of a WWTP on water quality and bacterial communities by comparing samples collected directly from the WWTP outflow to surface waters and sediments at two sites above and two sites below it over a period of five months. When possible, we measured five physicochemical variables (e.g., temperature, turbidity, conductivity, dissolved oxygen, and salinity), four bioindicators (e.g., Escherichia coli, total coliforms, Enterococcus sp., and endotoxins), and two molecular indicators (e.g., intI1’s relative abundance, and 16S rRNA gene profiling). Preliminary results suggest that bioindicators correlate with environmental variables and that bacterial communities present in the water tables, sediments, and treated water differ greatly in composition and structure.

Measurement(s)

temperature of water • conductivity of water • dissolved oxygen in water • salinity of water • Concentration of Escherichia coli in water • Concentration of total coliforms in water • Concentration of Enterococcus sp. • Concentration of endotoxins in water • Relative abundance of integron 1 in water • Bacterial 16S RNA

Technology Type(s)

YSI field probe • Colilert dection system • Enterolert dection system • Charles River Endosafe system • quantitative PCR • Illumina Sequencing

Sample Characteristic - Organism

Bacteria

Sample Characteristic - Environment

Fresh water river

Sample Characteristic - Location

United States

Details

Title
Bacteria communities and water quality parameters in riverine water and sediments near wastewater discharges
Author
de Santana, Carolina Oliveira 1 ; Spealman, Pieter 2 ; Azulai, Daniella 3 ; Reid, Mary 3 ; Dueker, M. Elias 4 ; Perron, Gabriel G. 5   VIAFID ORCID Logo 

 Federal University of Bahia, Geosciences Institute, Salvador, Brazil (GRID:grid.8399.b) (ISNI:0000 0004 0372 8259) 
 New York University, Center for Genomics and Systems Biology, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753) 
 Reem-Kayden Center for Science and Computation, Bard College, Department of Biology, Annandale-On-Hudson, USA (GRID:grid.252838.6) (ISNI:0000 0001 2375 3628) 
 Reem-Kayden Center for Science and Computation, Bard College, Department of Biology, Annandale-On-Hudson, USA (GRID:grid.252838.6) (ISNI:0000 0001 2375 3628); Bard Center for Environmental Sciences and Humanities, Bard College, Annandale-On-Hudson, USA (GRID:grid.252838.6) (ISNI:0000 0001 2375 3628) 
 New York University, Center for Genomics and Systems Biology, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753); Reem-Kayden Center for Science and Computation, Bard College, Department of Biology, Annandale-On-Hudson, USA (GRID:grid.252838.6) (ISNI:0000 0001 2375 3628); Bard Center for Environmental Sciences and Humanities, Bard College, Annandale-On-Hudson, USA (GRID:grid.252838.6) (ISNI:0000 0001 2375 3628) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2716395199
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.