| Title |
Geographical Patterns of nirS Gene Abundance and nirS-Type Denitrifying Bacterial Community Associated with Activated Sludge from Different Wastewater Treatment Plants
|
|---|---|
| Published in |
Microbial Ecology, July 2018
|
| DOI | 10.1007/s00248-018-1236-7 |
| Pubmed ID | |
| Authors |
Haihan Zhang, Ji Feng, Shengnan Chen, Zhenfang Zhao, Baoqin Li, Yue Wang, Jingyu Jia, Sulin Li, Yan Wang, Miaomiao Yan, Kuanyu Lu, Huiyan Hao |
| Abstract |
Denitrifying bacteria is a driver of nitrogen removal process in wastewater treatment ecosystem. However, the geographical characteristics of denitrifying bacterial communities associated with activated sludge from diverse wastewater treatment plants (WWTPs) are still unclear. Here, quantitative PCR and next-generation sequencing of the nirS gene were applied to characterize the abundance and denitrifying bacterial communities from 18 geographically distributed WWTPs. The results showed that the nirS abundance ranged from 4.6 × 102 to 2.4 × 103 copies per ng DNA, while nirS-type denitrifying bacterial populations were diverse and distinct from activated sludge communities. Among WWTPs, total nitrogen removal efficiencies varied from 25.8 to 84%, which was positively correlated with diversity indices, whereas abundance-based coverage estimator index decreased with an increase in latitude. The dominant phyla across all samples were proteobacteria, accounting for 46.23% (ranging from 17.98 to 87.07%) of the sequences. Eight of the 22 genera detected were dominant: Thauera sp., Alicycliphilus sp., and Pseudomonas sp., etc. Based on network analysis, the coexistence and interaction between dominant genera may be vital for regulating the nitrogen and carbon removal behaviors. Multivariate statistical analysis revealed that both geographic location and wastewater factors concurrently govern the distribution patterns of nirS-type denitrifying bacterial community harbored in WWTPs. Taking together, these results from the present study provide novel insights into the nirS gene abundance and nirS-type denitrifying bacterial community composition in geographically distributed WWTPs. Moreover, the knowledge gained will improve the operation and management of WWTPs for nitrogen removal. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 13% |
| Researcher | 5 | 9% |
| Student > Doctoral Student | 5 | 9% |
| Lecturer | 2 | 4% |
| Other | 9 | 16% |
| Unknown | 20 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 13 | 23% |
| Agricultural and Biological Sciences | 5 | 9% |
| Engineering | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 24 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 July 2018.
All research outputs
#20,529,173
of 23,098,660 outputs
Outputs from Microbial Ecology
#1,862
of 2,076 outputs
Outputs of similar age
#288,659
of 330,303 outputs
Outputs of similar age from Microbial Ecology
#34
of 36 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,076 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.