Literature DB >> 28954372

Wastewater treatment plant effluent introduces recoverable shifts in microbial community composition in receiving streams.

Jacob R Price1, Sarah H Ledford2, Michael O Ryan1, Laura Toran2, Christopher M Sales3.   

Abstract

Through a combined approach using analytical chemistry, real-time quantitative polymerase chain reaction (qPCR), and targeted amplicon sequencing, we studied the impact of wastewater treatment plant effluent sources at six sites on two sampling dates on the chemical and microbial population regimes within the Wissahickon Creek, and its tributary, Sandy Run, in Montgomery County, Pennsylvania, USA. These water bodies contribute flow to the Schuylkill River, one of the major drinking water sources for Philadelphia, Pennsylvania. Effluent was observed to be a significant source of nutrients, human and non-specific fecal associated taxa. There was an observed increase in the alpha diversity at locations immediately below effluent outflows, which contributed many taxa involved in wastewater treatment processes and nutrient cycling to the stream's microbial community. Unexpectedly, modeling of microbial community shifts along the stream was not controlled by concentrations of measured nutrients. Furthermore, partial recovery, in the form of decreasing abundances of bacteria and nutrients associated with wastewater treatment plant processes, nutrient cycling bacteria, and taxa associated with fecal and sewage sources, was observed between effluent sources, which we hypothesize is controlled by distance from effluent source. Antecedent moisture conditions were observed to impact overall microbial community diversity, with higher diversity occurring after rainfall. Finally, the efficacy of using a subset of the microbial community including the orders of Bifidobacteriales, Bacteroidales, and Clostridiales to estimate the degree of influence due to sewage and fecal sources was explored and verified.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amplicon sequencing; Microbial community analysis; Nutrients; Urban stream; Water chemistry

Year:  2017        PMID: 28954372     DOI: 10.1016/j.scitotenv.2017.09.162

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  Amsterdam urban canals contain novel niches for methane-cycling microorganisms.

Authors:  Koen A J Pelsma; Michiel H In 't Zandt; Huub J M Op den Camp; Mike S M Jetten; Joshua F Dean; Cornelia U Welte
Journal:  Environ Microbiol       Date:  2021-12-13       Impact factor: 5.476

2.  Ultraviolet disinfection impacts the microbial community composition and function of treated wastewater effluent and the receiving urban river.

Authors:  Imrose Kauser; Mark Ciesielski; Rachel S Poretsky
Journal:  PeerJ       Date:  2019-08-06       Impact factor: 2.984

Review 3.  Quantifying the contribution of microbial immigration in engineered water systems.

Authors:  Ran Mei; Wen-Tso Liu
Journal:  Microbiome       Date:  2019-11-06       Impact factor: 14.650

4.  An Ohio State Scenic River Shows Elevated Antibiotic Resistance Genes, Including Acinetobacter Tetracycline and Macrolide Resistance, Downstream of Wastewater Treatment Plant Effluent.

Authors:  April Murphy; Daniel Barich; M Siobhan Fennessy; Joan L Slonczewski
Journal:  Microbiol Spectr       Date:  2021-09-01

Review 5.  Biotic and Abiotic Factors Influencing Arsenic Biogeochemistry and Toxicity in Fluvial Ecosystems: A Review.

Authors:  Laura Barral-Fraga; María Teresa Barral; Keeley L MacNeill; Diego Martiñá-Prieto; Soizic Morin; María Carolina Rodríguez-Castro; Baigal-Amar Tuulaikhuu; Helena Guasch
Journal:  Int J Environ Res Public Health       Date:  2020-03-30       Impact factor: 3.390

6.  Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes.

Authors:  Lin Ye; Ran Mei; Wen-Tso Liu; Hongqiang Ren; Xu-Xiang Zhang
Journal:  Microbiome       Date:  2020-02-11       Impact factor: 14.650

7.  Metagenomics for taxonomy profiling: tools and approaches.

Authors:  Mukesh Kumar Awasthi; B Ravindran; Surendra Sarsaiya; Hongyu Chen; Steven Wainaina; Ekta Singh; Tao Liu; Sunil Kumar; Ashok Pandey; Lal Singh; Zengqiang Zhang
Journal:  Bioengineered       Date:  2020-12       Impact factor: 6.832

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.