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


ABSTRACT: 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.

SUBMITTER: Woo PC 

PROVIDER: S-EPMC1994535 | biostudies-other | 2007 May

REPOSITORIES: biostudies-other

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

Woo Patrick C Y PC   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  

Journal of clinical pathology 20061017 5


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 52-6  ...[more]

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