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 B...

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Published in:Journal of clinical pathology Vol. 60; no. 5; pp. 576 - 579
Main Authors: 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
Format: Journal Article
Language:English
Published: London BMJ Publishing Group Ltd and Association of Clinical Pathologists 01-05-2007
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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.
AbstractList 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.
Author Chung, Liliane M W
Wong, Vanessa W K
Tse, Herman
Pang, Sherby S Y
Teng, Jade L L
Woo, Patrick C Y
Lau, Veronica Y T
Yuen, Kwok-Yung
Kam, Kwok-ling
Lau, Susanna K P
AuthorAffiliation Patrick C Y Woo , Liliane M W Chung , Jade L L Teng , Herman Tse , Sherby S Y Pang , Veronica Y T Lau , Vanessa W K Wong , Kwok‐ling Kam , Susanna K P Lau , Kwok‐Yung Yuen , Department of Microbiology, The University of Hong Kong, Hong Kong
Patrick C Y Woo , Herman Tse , Susanna K P Lau , Kwok‐Yung Yuen , Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong
AuthorAffiliation_xml – name: Patrick C Y Woo , Herman Tse , Susanna K P Lau , Kwok‐Yung Yuen , Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong
– name: Patrick C Y Woo , Liliane M W Chung , Jade L L Teng , Herman Tse , Sherby S Y Pang , Veronica Y T Lau , Vanessa W K Wong , Kwok‐ling Kam , Susanna K P Lau , Kwok‐Yung Yuen , Department of Microbiology, The University of Hong Kong, Hong Kong
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CitedBy_id crossref_primary_10_1099_jmm_0_027805_0
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Keywords Anatomic pathology
Nucleotide sequence
Anaerobe
Ribosomal RNA
Ribosomal DNA
Bacteria
Identification
Method
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 Dr K-Y Yuen
 Department of Microbiology, The University of Hong Kong, University Pathology Building, Queen Mary Hospital Compound, Pokfulam Road, Hong Kong; hkumicro@hkucc.hku.hk
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Snippet 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...
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...
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...
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SubjectTerms Bacteria
Bacteria, Anaerobic - classification
Bacteria, Anaerobic - genetics
Bacterial Typing Techniques - methods
Biological and medical sciences
Databases, Nucleic Acid
Genes
Humans
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
MicroSeq
MicroSeq 500 16S rDNA bacterial identification system
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
RNA, Bacterial - genetics
RNA, Ribosomal, 16S - genetics
Sequence Analysis, RNA - methods
Short Reports
Title In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria
URI http://dx.doi.org/10.1136/jcp.2006.038653
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