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 |
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Main Authors: | , , , , , , , , , |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Patrick C Y surname: Woo fullname: Woo, Patrick C Y organization: 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 – sequence: 2 givenname: Liliane M W surname: Chung fullname: Chung, Liliane M W organization: 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 – sequence: 3 givenname: Jade L L surname: Teng fullname: Teng, Jade L L organization: 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 – sequence: 4 givenname: Herman surname: Tse fullname: Tse, Herman organization: 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 – sequence: 5 givenname: Sherby S Y surname: Pang fullname: Pang, Sherby S Y organization: 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 – sequence: 6 givenname: Veronica Y T surname: Lau fullname: Lau, Veronica Y T organization: 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 – sequence: 7 givenname: Vanessa W K surname: Wong fullname: Wong, Vanessa W K organization: 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 – sequence: 8 givenname: Kwok-ling surname: Kam fullname: Kam, Kwok-ling organization: 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 – sequence: 9 givenname: Susanna K P surname: Lau fullname: Lau, Susanna K P organization: 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 – sequence: 10 givenname: Kwok-Yung surname: Yuen fullname: Yuen, Kwok-Yung organization: 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 |
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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 |
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