In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria

被引:14
作者
Woo, Patrick C. Y.
Chung, Liliane M. W.
Teng, Jade L. L.
Tse, Herman
Pang, Sherby S. Y.
Lau, Veronica Y. T.
Wong, Vanessa W. K.
Kam, Kwok-Ling
Lau, Susanna K. P.
Yuen, Kwok-Yung
机构
[1] Univ Hong Kong, Dept Microbiol, Hong Kong, Hong Kong, Peoples R China
[2] Univ Hong Kong, Res Ctr Infect & Immunol, Hong Kong, Hong Kong, Peoples R China
[3] Univ Hong Kong, State Key Lab Emerging Infect Dis, Hong Kong, Hong Kong, Peoples R China
关键词
D O I
10.1136/jcp.2006.038653
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
This study is the first study that provides useful guidelines to clinical microbiologists and technicians on the usefulness of full 16S rRNA sequencing, 5'- end 527- bp 16S rRNA sequencing and the existing MicroSeq full and 500 16S rDNA bacterial identification system (MicroSeq, Perkin-Elmer Applied Biosystems Division, Foster City, California, USA) databases for the identification of all existing medically important anaerobic bacteria. Full and 527- bp 16S rRNA sequencing are able to identify 52-63% of 130 Gram-positive anaerobic rods, 72-73% of 86 Gram-negative anaerobic rods and 78% of 23 anaerobic cocci. The existing MicroSeq databases are able to identify only 19-25% of 130 Gram-positive anaerobi rods, 38% of 86 Gram-negative anaerobic rods and 39% of 23 anaerobic cocci. These represent only 45-46% of those that should be confidently identified by full and 527-bp 16S rRNA sequencing. To improve the usefulness of MicroSeq, bacterial species that should be confidently identified by full and/or 527bp 16S rRNA sequencing but not included in the existing MicroSeq databases should be included.
引用
收藏
页码:576 / 579
页数:4
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