| Title |
Unravelling riverine microbial communities under wastewater treatment plant effluent discharge in large urban areas
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, July 2017
|
| DOI | 10.1007/s00253-017-8384-4 |
| Pubmed ID | |
| Authors |
Yang Huo, Yaohui Bai, Jiuhui Qu |
| Abstract |
In many highly urbanized areas, effluent from wastewater treatment plants (WWTPs) represents a significant proportion of the water source for receiving rivers. Microbial communities are major components of riverine ecosystems and mediate the processes of nutrients and organic matter produced by treated and untreated WWTP effluent. To date, the impacts of WWTP effluent discharge on riverine microbial communities remain poorly understood. Based on 16S rRNA gene sequencing and water quality analysis, we investigated the microbial community compositions and predicted functions in the effluents of five municipal WWTPs and their receiving rivers. The results showed that the microbial compositions in the five WWTP effluents with different treatment processes were similar. Significant differences in the microbial community were not noted between the effluent, upstream, and downstream sites for both sampling months. However, dissimilarity of microbial composition between two sampling periods was observed. The temperature, pH, dissolved oxygen, and ammonium were major environmental factors associated with microbial community changes. Functional annotations of microbial communities based on 16S amplicons identified xenobiotic degradation and metabolism functions in effluent and river samples. Quantitative polymerase chain reaction revealed the dominance of ammonia-oxidizing bacteria (AOB) over ammonia-oxidizing archaea (AOA) in the WWTP effluents and rivers, and significant positive correlation between AOB abundance and nitrate concentration was observed. These findings will help increase our understanding of the impact of effluent discharge on urban river ecosystems. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 36% |
| Mexico | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 19% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 9 | 14% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Agricultural and Biological Sciences | 9 | 14% |
| Engineering | 4 | 6% |
| Immunology and Microbiology | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 25 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2018.
All research outputs
#2,930,689
of 24,885,505 outputs
Outputs from Applied Microbiology and Biotechnology
#416
of 8,165 outputs
Outputs of similar age
#51,710
of 318,373 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#4
of 87 outputs
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