Literature DB >> 10747168

Identification of coryneform bacterial isolates by ribosomal DNA sequence analysis.

Y W Tang1, A Von Graevenitz, M G Waddington, M K Hopkins, D H Smith, H Li, C P Kolbert, S O Montgomery, D H Persing.   

Abstract

Identification of coryneform bacteria to the species level is important in certain circumstances for differentiating contamination and/or colonization from infection, which influences decisions regarding clinical intervention. However, methods currently used in clinical microbiology laboratories for the species identification of coryneform bacteria are often inadequate. We evaluated the MicroSeq 500 16S bacterial sequencing kit (Perkin-Elmer Biosystems, Foster City, Calif.), which is designed to sequence the first 527 bp of the 16S rRNA gene for bacterial identification, by using 52 coryneform gram-positive bacilli from clinical specimens isolated from January through June 1993 at the Mayo Clinic. Compared to conventional and supplemented phenotypic methods, MicroSeq provided concordant results for identification to the genus level for all isolates. At the species level, MicroSeq provided concordant results for 27 of 42 (64.3%) Corynebacterium isolates and 5 of 6 (83.3%) Corynebacterium-related isolates, respectively. Within the Corynebacterium genus, MicroSeq gave identical species-level identifications for the clinically significant Corynebacterium diphtheriae (4 of 4) and Corynebacterium jeikeium (8 of 8), but it identified only 50.0% (15 of 30) of other species (P < 0.01). Four isolates from the genera Arthrobacter, Brevibacterium, and Microbacterium, which could not be identified to the species level by conventional methods, were assigned a species-level identification by MicroSeq. The total elapsed time for running a MicroSeq identification was 15.5 to 18.5 h. These data demonstrate that the MicroSeq 500 16S bacterial sequencing kit provides a potentially powerful method for the definitive identification of clinical coryneform bacterium isolates.

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Year:  2000        PMID: 10747168      PMCID: PMC86524     

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  14 in total

1.  How close is close: 16S rRNA sequence identity may not be sufficient to guarantee species identity.

Authors:  G E Fox; J D Wisotzkey; P Jurtshuk
Journal:  Int J Syst Bacteriol       Date:  1992-01

2.  Grouping of some clinically relevant gram-positive rods by automated fatty acid analysis. Diagnostic implications.

Authors:  A Von Graevenitz; G Osterhout; J Dick
Journal:  APMIS       Date:  1991-02       Impact factor: 3.205

3.  Comparison of phenotypic and genotypic techniques for identification of unusual aerobic pathogenic gram-negative bacilli.

Authors:  Y W Tang; N M Ellis; M K Hopkins; D H Smith; D E Dodge; D H Persing
Journal:  J Clin Microbiol       Date:  1998-12       Impact factor: 5.948

4.  Complete nucleotide sequence of a 16S ribosomal RNA gene from Escherichia coli.

Authors:  J Brosius; M L Palmer; P J Kennedy; H F Noller
Journal:  Proc Natl Acad Sci U S A       Date:  1978-10       Impact factor: 11.205

5.  Evaluation of the rapid CORYNE identification system for Corynebacterium species and other coryneforms.

Authors:  S E Gavin; R B Leonard; A M Briselden; M B Coyle
Journal:  J Clin Microbiol       Date:  1992-07       Impact factor: 5.948

6.  Evaluation of API Coryne system for identifying coryneform bacteria.

Authors:  A Soto; J Zapardiel; F Soriano
Journal:  J Clin Pathol       Date:  1994-08       Impact factor: 3.411

7.  Phylogenetic analysis of the genus Corynebacterium based on 16S rRNA gene sequences.

Authors:  C Pascual; P A Lawson; J A Farrow; M N Gimenez; M D Collins
Journal:  Int J Syst Bacteriol       Date:  1995-10

8.  Cellular fatty acid composition as an adjunct to the identification of asporogenous, aerobic gram-positive rods.

Authors:  K A Bernard; M Bellefeuille; E P Ewan
Journal:  J Clin Microbiol       Date:  1991-01       Impact factor: 5.948

9.  Evaluation of API Coryne in comparison with conventional methods for identifying coryneform bacteria.

Authors:  J Freney; M T Duperron; C Courtier; W Hansen; F Allard; J M Boeufgras; D Monget; J Fleurette
Journal:  J Clin Microbiol       Date:  1991-01       Impact factor: 5.948

10.  Phylogenetic relationships between some members of the genera Neisseria, Acinetobacter, Moraxella, and Kingella based on partial 16S ribosomal DNA sequence analysis.

Authors:  M C Enright; P E Carter; I A MacLean; H McKenzie
Journal:  Int J Syst Bacteriol       Date:  1994-07
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  32 in total

1.  16S ribosomal DNA sequence analysis of a large collection of environmental and clinical unidentifiable bacterial isolates.

Authors:  M Drancourt; C Bollet; A Carlioz; R Martelin; J P Gayral; D Raoult
Journal:  J Clin Microbiol       Date:  2000-10       Impact factor: 5.948

2.  16S ribosomal DNA sequence-based analysis of clinically significant gram-positive anaerobic cocci.

Authors:  Yuli Song; Chengxu Liu; Maureen McTeague; Sydney M Finegold
Journal:  J Clin Microbiol       Date:  2003-04       Impact factor: 5.948

3.  Usefulness of the MicroSeq 500 16S ribosomal DNA-based bacterial identification system for identification of clinically significant bacterial isolates with ambiguous biochemical profiles.

Authors:  Patrick C Y Woo; Kenneth H L Ng; Susanna K P Lau; Kam-tong Yip; Ami M Y Fung; Kit-wah Leung; Dorothy M W Tam; Tak-lun Que; Kwok-yung Yuen
Journal:  J Clin Microbiol       Date:  2003-05       Impact factor: 5.948

4.  Microbial characterization during the early habitation of the International Space Station.

Authors:  V A Castro; A N Thrasher; M Healy; C M Ott; D L Pierson
Journal:  Microb Ecol       Date:  2004-02-02       Impact factor: 4.552

5.  Ribosomal DNA sequencing for identification of aerobic gram-positive rods in the clinical laboratory (an 18-month evaluation).

Authors:  P P Bosshard; S Abels; R Zbinden; E C Böttger; M Altwegg
Journal:  J Clin Microbiol       Date:  2003-09       Impact factor: 5.948

6.  Comparison of conventional and molecular methods for identification of aerobic catalase-negative gram-positive cocci in the clinical laboratory.

Authors:  P P Bosshard; S Abels; M Altwegg; E C Böttger; R Zbinden
Journal:  J Clin Microbiol       Date:  2004-05       Impact factor: 5.948

7.  Molecular diagnosis of necrotizing fasciitis by 16S rRNA gene sequencing and superantigen gene detection.

Authors:  Kenneth L Muldrew; Jean F Simpson; Charles W Stratton; Yi-Wei Tang
Journal:  J Mol Diagn       Date:  2005-11       Impact factor: 5.568

8.  Use of the MicroSeq 500 16S rRNA gene-based sequencing for identification of bacterial isolates that commercial automated systems failed to identify correctly.

Authors:  Carla Fontana; Marco Favaro; Marco Pelliccioni; Enrico Salvatore Pistoia; Cartesio Favalli
Journal:  J Clin Microbiol       Date:  2005-02       Impact factor: 5.948

Review 9.  Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases.

Authors:  Jill E Clarridge
Journal:  Clin Microbiol Rev       Date:  2004-10       Impact factor: 26.132

10.  Evaluation of 16S rRNA sequencing and reevaluation of a short biochemical scheme for identification of clinically significant Bacteroides species.

Authors:  Yuli Song; Chengxu Liu; Mauricio Bolanos; Julia Lee; Maureen McTeague; Sydney M Finegold
Journal:  J Clin Microbiol       Date:  2005-04       Impact factor: 5.948

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