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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Liyanapathirana, Veranja Ang, Irene Tsang, Dominic Fung, Kitty Ng, Tak Keung Zhou, Haokui Ip, Margaret |
| Abstract | Background The use of whole-genome sequencing in microbiology at a diagnostic level, although feasible, is still limited by the expenses associated and by the complex bioinformatics pipelines in data analyses. We describe the use of target enrichment-based next-generation sequencing for pneumococcal identification and serotyping as applied to the polysaccharide 23 valent vaccine serotypes as an affordable alternative to whole genome sequencing. Results Correct identification of Streptococcus pneumoniae and prediction of common vaccine serotypes: 12 to serotype level and the rest to serogroup levels were achieved for all serotypes with >500 reads mapped against serotypes sequences. A proportion-based criterion also enabled the identification of two serotypes present in the same sample, thus indicating the possibility of using this method in detecting co-colonizing serotypes. The results obtained were comparable to or an improvement on the currently existing molecular serotyping methods for S. pneumoniae in relation to the polysaccharide vaccine serotypes. Conclusion We propose that this method has the potential to become an affordable and adaptable alternative to whole-genome sequencing for pneumococcal identification and serotyping. |
| Related Links | https://bmcmicrobiol.biomedcentral.com/counter/pdf/10.1186/1471-2180-14-60.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712180 |
| DOI | 10.1186/1471-2180-14-60 |
| Journal | BMC Microbiology |
| Issue Number | 1 |
| Volume Number | 14 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2014-03-10 |
| Access Restriction | Open |
| Subject Keyword | Microbiology Biological Microscopy Mycology Parasitology Virology Life Sciences Streptococcus pneumoniae Next generation sequencing (NGS) Serotyping |
| Content Type | Text |
| Resource Type | Article |
| Subject | Microbiology Microbiology (medical) |
| Journal Impact Factor | 4/2023 |
| 5-Year Journal Impact Factor | 4.6/2023 |
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