PT  - JOURNAL ARTICLE
AU  - Woo, Patrick C Y
AU  - Chung, Liliane M W
AU  - Teng, Jade L L
AU  - Tse, Herman
AU  - Pang, Sherby S Y
AU  - Lau, Veronica Y T
AU  - Wong, Vanessa W K
AU  - Kam, Kwok-ling
AU  - Lau, Susanna K P
AU  - Yuen, Kwok-Yung
TI  - In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria
AID  - 10.1136/jcp.2006.038653
DP  - 2007 May 01
TA  - Journal of Clinical Pathology
PG  - 576--579
VI  - 60
IP  - 5
4099  - http://jcp.bmj.com/content/60/5/576.short
4100  - http://jcp.bmj.com/content/60/5/576.full
SO  - J Clin Pathol2007 May 01; 60
AB  - 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 anaerobic 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 527-bp 16S rRNA sequencing but not included in the existing MicroSeq databases should be included.