| Title |
Increased levels of antibiotic resistance in urban stream of Jiulongjiang River, China
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, February 2015
|
| DOI | 10.1007/s00253-015-6416-5 |
| Pubmed ID | |
| Authors |
Wei-Ying Ouyang, Fu-Yi Huang, Yi Zhao, Hu Li, Jian-Qiang Su |
| Abstract |
The rapid global urbanization and other extensive anthropogenic activities exacerbated the worldwide human health risks induced by antibiotic resistance genes (ARGs). Knowledge of the origins and dissemination of ARGs is essential for understanding modern resistome, while little information is known regarding the overall resistance levels in urban river. In this study, the abundance of multi-resistant bacteria (MRB) and ARGs was investigated using culture-based method and high-throughput qPCR in water samples collected from urban stream and source of Jiulongjiang River, China, respectively. The abundance of MRB (conferring resistance to three combinations of antibiotics and vancomycin) was significantly higher in urban samples. A total of 212 ARGs were detected among all the water samples, which encoded resistance to almost all major classes of antibiotics and encompassed major resistant mechanisms. The total abundance of ARGs in urban samples (ranging from 9.72 × 10(10) to 1.03 × 10(11) copies L(-1)) was over two orders of magnitude higher than that in pristine samples (7.18 × 10(8) copies L(-1)), accompanied with distinct ARGs structures, significantly higher diversity, and enrichment of ARGs. Significant correlations between the abundance of ARGs and mobile genetic elements (MGEs) were observed, implicating the potential of horizontal transfer of ARGs. High abundance and enrichment of diverse ARGs and MGEs detected in urban river provide evidence that anthropogenic activities are responsible for the emergence and dissemination of ARGs to the urban river and management options should be taken into account for minimizing the spread of ARGs. |
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 % |
|---|---|---|
| United Kingdom | 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Unknown | 142 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 17% |
| Student > Master | 18 | 13% |
| Researcher | 14 | 10% |
| Student > Doctoral Student | 9 | 6% |
| Student > Postgraduate | 7 | 5% |
| Other | 25 | 17% |
| Unknown | 46 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 29 | 20% |
| Agricultural and Biological Sciences | 20 | 14% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Immunology and Microbiology | 7 | 5% |
| Engineering | 7 | 5% |
| Other | 14 | 10% |
| Unknown | 58 | 41% |
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 11 February 2015.
All research outputs
#21,608,038
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,994
of 8,034 outputs
Outputs of similar age
#308,363
of 361,531 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#101
of 135 outputs
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