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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Teng, Jade L. L. Ho, Tom C. C. Yeung, Ronald S. Y. Wong, Annette Y. P. Wang, Haiyin Chen, Chen Fung, Kitty S. C. Lau, Susanna K. P. Woo, Patrick C. Y. |
| Description | Country affiliation: China Author Affiliation: Teng JL ( Department of Microbiology, The University of Hong Kong, Hong Kong, China); Ho TC ( Department of Microbiology, The University of Hong Kong, Hong Kong, China.); Yeung RS ( Department of Microbiology, The University of Hong Kong, Hong Kong, China); Wong AY ( Department of Microbiology, The University of Hong Kong, Hong Kong, China.); Wang H ( National Institute for Communicable Disease Control and Prevention, Center for Disease Control and Prevention/State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.); Chen C ( National Institute for Communicable Disease Control and Prevention, Center for Disease Control and Prevention/State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.); Fung KS ( Department of Pathology, United Christian Hospital, Hong Kong, China.); Lau SK ( Department of Microbiology, The University of Hong Kong, Hong Kong, China); Woo PC ( Department of Microbiology, The University of Hong Kong, Hong Kong, China) |
| Abstract | Interpretation of 16S rRNA sequences is a difficult problem faced by clinical microbiologists and technicians. In this study, we evaluated the updated 16SpathDB 2.0 database, using 689 16S rRNA sequences from 689 complete genomes of medically important bacteria. Among these 689 16S rRNA sequences, none was wrongly identified, with 35.8% reported as a single bacterial species having >98% identity with the query sequence (category 1), 63.9% reported as more than 1 bacterial species having >98% identity with the query sequence (category 2), 0.3% reported to the genus level (category 3), and none reported as no match (category 4). For the 16S rRNA sequences of non-duplicated bacterial species reported as category 1 or 2, the percentage of bacterial species reported as category 1 was significantly higher for anaerobic Gram-positive/Gram-negative bacteria than aerobic/facultative anaerobic Gram-positive/Gram-negative bacteria. 16SpathDB 2.0 is a user-friendly and accurate database for 16S rRNA sequence interpretation in clinical laboratories. |
| File Format | HTM / HTML |
| ISSN | 07328893 |
| Issue Number | 2 |
| Volume Number | 78 |
| e-ISSN | 18790070 |
| Journal | Diagnostic Microbiology and Infectious Disease |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2014-02-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Microbiology Discipline Communicable Diseases Databases, Nucleic Acid Genome, Bacterial Rna, Bacterial Rna, Ribosomal, 16s Bacteria Classification Genetics Bacterial Typing Techniques Phylogeny Web Browser Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Infectious Diseases Microbiology (medical) |
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