| Title |
Antibiotic resistance genes in an urban river as impacted by bacterial community and physicochemical parameters
|
|---|---|
| Published in |
Environmental Science and Pollution Research, September 2017
|
| DOI | 10.1007/s11356-017-0032-0 |
| Pubmed ID | |
| Authors |
Zhen-Chao Zhou, Ji Zheng, Yuan-Yuan Wei, Tao Chen, Randy A. Dahlgren, Xu Shang, Hong Chen |
| Abstract |
Antibiotic resistance genes (ARGs) in urban rivers are a serious public health concern in regions with poorly planned, rapid development. To gain insights into the predominant factors affecting the fate of ARGs in a highly polluted urban river in eastern China, a total of 285 ARGs, microbial communities, and 20 physicochemical parameters were analyzed for 17 sites. A total of 258 unique ARGs were detected using high-throughput qPCR, and the absolute abundance of total ARGs was positively correlated with total organic carbon and total dissolved nitrogen concentrations (P < 0.01). ARG abundance and diversity were greatly altered by microbial community structure. Variation partitioning analysis showed that the combined effects of multiple factors contributed to the profile and dissemination of ARGs, and variation of microbial communities was the major factor affecting the distribution of ARGs. The disparate distribution of some bacteria, including Bacteroides from mammalian gastrointestinal flora, Burkholderia from zoonotic infectious diseases, and Zoogloea from wastewater treatment, indicates that the urban river was strongly influenced by point-source pollution. Results imply that microbial community shifts caused by changes in water quality may lead to the spread of ARGs, and point-source pollution in urban rivers requires greater attention to control the transfer of ARGs between environmental bacteria and pathogens. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Italy | 1 | 17% |
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 159 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 15% |
| Researcher | 20 | 13% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 6 | 4% |
| Other | 24 | 15% |
| Unknown | 60 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 24 | 15% |
| Agricultural and Biological Sciences | 16 | 10% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Immunology and Microbiology | 8 | 5% |
| Engineering | 8 | 5% |
| Other | 22 | 14% |
| Unknown | 69 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 31 August 2018.
All research outputs
#2,123,671
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#331
of 9,883 outputs
Outputs of similar age
#41,470
of 319,180 outputs
Outputs of similar age from Environmental Science and Pollution Research
#10
of 222 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% of its peers.
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We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.