| Title |
Antibiotic resistance mechanisms of Myroides sp.
|
|---|---|
| Published in |
Journal of Zhejiang University - Science B, March 2016
|
| DOI | 10.1631/jzus.b1500068 |
| Pubmed ID | |
| Authors |
Shao-hua Hu, Shu-xing Yuan, Hai Qu, Tao Jiang, Ya-jun Zhou, Ming-xi Wang, De-song Ming |
| Abstract |
Bacteria of the genus Myroides (Myroides spp.) are rare opportunistic pathogens. Myroides sp. infections have been reported mainly in China. Myroides sp. is highly resistant to most available antibiotics, but the resistance mechanisms are not fully elucidated. Current strain identification methods based on biochemical traits are unable to identify strains accurately at the species level. While 16S ribosomal RNA (rRNA) gene sequencing can accurately achieve this, it fails to give information on the status and mechanisms of antibiotic resistance, because the 16S rRNA sequence contains no information on resistance genes, resistance islands or enzymes. We hypothesized that obtaining the whole genome sequence of Myroides sp., using next generation sequencing methods, would help to clarify the mechanisms of pathogenesis and antibiotic resistance, and guide antibiotic selection to treat Myroides sp. infections. As Myroides sp. can survive in hospitals and the environment, there is a risk of nosocomial infections and pandemics. For better management of Myroides sp. infections, it is imperative to apply next generation sequencing technologies to clarify the antibiotic resistance mechanisms in these bacteria. |
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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Student > Postgraduate | 7 | 12% |
| Researcher | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Other | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 24% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Environmental Science | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 20 | 34% |
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 18 March 2016.
All research outputs
#22,759,452
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Outputs from Journal of Zhejiang University - Science B
#555
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#270,721
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Outputs of similar age from Journal of Zhejiang University - Science B
#7
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