| Title |
Cultivation-dependent and high-throughput sequencing approaches studying the co-occurrence of antibiotic resistance genes in municipal sewage system
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, October 2017
|
| DOI | 10.1007/s00253-017-8573-1 |
| Pubmed ID | |
| Authors |
An-Dong Li, Liping Ma, Xiao-Tao Jiang, Tong Zhang |
| Abstract |
During the past years, antibiotic-resistant bacteria (ARB) leading for the spreading of antibiotic resistance genes (ARGs) became a global problem, especially multidrug-resistant (MDR) bacteria are considered the prime culprit of antibiotic resistance. However, the correlation between the antibiotic-resistant phenotype and the ARG profiles remains poorly understood. In the present study, metagenomic functional screening and metagenomic analysis of coliforms were combined to explore the phenotype and genotype of the ARBs from municipal sewage. Our results showed that the ARG co-occurrence was widespread in the municipal sewage. The present study also highlighted the high abundance of ARGs from antibiotic resistance coliforms especially the MDR coliforms with ARG level of 33.8 ± 4.2 copies per cell. The ARG profiles and the antibiotic resistance phenotypes of the isolated antibiotic resistant coliforms were also correlated and indicated that the resistance to the related antibiotic (ampicillin, kanamycin, erythromycin, chloramphenicol, and tetracycline) was mostly contributed by the ARGs belonging to the subtypes of β-lactamase, aminoglycoside 3-phosphotransferase, phosphotransferase type 2, chloramphenicol acetyltransferase, tetA, etc. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Bachelor | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 16% |
| Environmental Science | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Immunology and Microbiology | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 14 | 38% |
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 19 July 2018.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,478
of 8,034 outputs
Outputs of similar age
#254,681
of 329,591 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#77
of 120 outputs
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