In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria.
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.
Woo
Patrick C Y
PC
Department of Microbiology, The University of Hong Kong, Hong Kong.
Chung
Liliane M W
LM
Teng
Jade L L
JL
Tse
Herman
H
Pang
Sherby S Y
SS
Lau
Veronica Y T
VY
Wong
Vanessa W K
VW
Kam
Kwok-ling
KL
Lau
Susanna K P
SK
Yuen
Kwok-Yung
KY
D001421:Bacteria, Anaerobic / Q000145:classification* / Q000235:genetics; D015373:Bacterial Typing Techniques / Q000379:methods*; D030561:Databases, Nucleic Acid; D006801:Humans; D012329:RNA, Bacterial / Q000235:genetics*; D012336:RNA, Ribosomal, 16S / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods
D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S