Literature DB >> 8789004

Two-laboratory collaborative study on identification of mycobacteria: molecular versus phenotypic methods.

B Springer1, L Stockman, K Teschner, G D Roberts, E C Böttger.   

Abstract

Previous studies have indicated that the conventional tests used for the identification of mycobacteria may (i) frequently result in erroneous identification and (ii) underestimate the diversity within the genus Mycobacterium. To address this issue in a more systematic fashion, a study comparing phenotypic and molecular methods for the identification of mycobacteria was initiated. Focus was given to isolates which were difficult to identify to species level and which yielded inconclusive results by conventional tests performed under day-to-day routine laboratory conditions. Traditional methods included growth rate, colonial morphology, pigmentation, biochemical profiles, and gas-liquid chromatography of short-chain fatty acids. Molecular identification was done by PCR-mediated partial sequence analysis of the gene encoding the 16S rRNA. A total of 34 isolates was included in this study; 13 of the isolates corresponded to established species, and 21 isolates corresponded to previously uncharacterized taxa. For five isolates, phenotypic and molecular analyses gave identical results. For five isolates, minor discrepancies were present; four isolates remained unidentified after biochemical testing. For 20 isolates, major discrepancies between traditional and molecular typing methods were observed. Retrospective analysis of the data revealed that the discrepant results were without exception due to erroneous biochemical test results or interpretations. In particular, phenotypic identification schemes were compromised with regard to the recognition of previously undescribed taxa. We conclude that molecular typing by 16S rRNA sequence determination is not only more rapid (12 to 36 h versus 4 to 8 weeks) but also more accurate than traditional typing.

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Year:  1996        PMID: 8789004      PMCID: PMC228786          DOI: 10.1128/jcm.34.2.296-303.1996

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


  30 in total

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Authors:  Y Van de Peer; I Van den Broeck; P De Rijk; R De Wachter
Journal:  Nucleic Acids Res       Date:  1994-09       Impact factor: 16.971

2.  Genotypic identification of mycobacteria by nucleic acid sequence determination: report of a 2-year experience in a clinical laboratory.

Authors:  P Kirschner; B Springer; U Vogel; A Meier; A Wrede; M Kiekenbeck; F C Bange; E C Böttger
Journal:  J Clin Microbiol       Date:  1993-11       Impact factor: 5.948

3.  Nucleic acid sequence-based amplification (NASBA) for the identification of mycobacteria.

Authors:  G M van der Vliet; R A Schukkink; B van Gemen; P Schepers; P R Klatser
Journal:  J Gen Microbiol       Date:  1993-10

4.  Nucleotide sequence comparison of the mycobacterial dnaJ gene and PCR-restriction fragment length polymorphism analysis for identification of mycobacterial species.

Authors:  S Takewaki; K Okuzumi; I Manabe; M Tanimura; K Miyamura; K Nakahara; Y Yazaki; A Ohkubo; R Nagai
Journal:  Int J Syst Bacteriol       Date:  1994-01

5.  Identification of mycobacteria by PCR-based sequence determination of the 32-kilodalton protein gene.

Authors:  H Soini; E C Böttger; M K Viljanen
Journal:  J Clin Microbiol       Date:  1994-12       Impact factor: 5.948

6.  Identification of mycobacteria from animals by restriction enzyme analysis and direct DNA cycle sequencing of polymerase chain reaction-amplified 16S rRNA gene sequences.

Authors:  M S Hughes; R A Skuce; L A Beck; S D Neill
Journal:  J Clin Microbiol       Date:  1993-12       Impact factor: 5.948

7.  Identification of Mycobacterium species by using amplified ribosomal DNA restriction analysis.

Authors:  M Vaneechoutte; H De Beenhouwer; G Claeys; G Verschraegen; A De Rouck; N Paepe; A Elaichouni; F Portaels
Journal:  J Clin Microbiol       Date:  1993-08       Impact factor: 5.948

8.  Cross-reactivity of genetic probe for detection of Mycobacterium tuberculosis with newly described species Mycobacterium celatum.

Authors:  W R Butler; S P O'Connor; M A Yakrus; W M Gross
Journal:  J Clin Microbiol       Date:  1994-02       Impact factor: 5.948

9.  False positive result of Mycobacterium tuberculosis complex DNA probe hybridization with a Mycobacterium terrae isolate.

Authors:  C Martin; V V Lévy-Frébault; B Cattier; A Legras; A Goudeau
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1993-04       Impact factor: 3.267

10.  The Ribosomal Database Project.

Authors:  B L Maidak; N Larsen; M J McCaughey; R Overbeek; G J Olsen; K Fogel; J Blandy; C R Woese
Journal:  Nucleic Acids Res       Date:  1994-09       Impact factor: 16.971

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  118 in total

1.  Sequence-based identification of Mycobacterium species using the MicroSeq 500 16S rDNA bacterial identification system.

Authors:  J B Patel; D G Leonard; X Pan; J M Musser; R E Berman; I Nachamkin
Journal:  J Clin Microbiol       Date:  2000-01       Impact factor: 5.948

2.  Species identification of mycobacteria by PCR-restriction fragment length polymorphism of the rpoB gene.

Authors:  H Lee; H J Park; S N Cho; G H Bai; S J Kim
Journal:  J Clin Microbiol       Date:  2000-08       Impact factor: 5.948

3.  Identification of 54 mycobacterial species by PCR-restriction fragment length polymorphism analysis of the hsp65 gene.

Authors:  F Brunello; M Ligozzi; E Cristelli; S Bonora; E Tortoli; R Fontana
Journal:  J Clin Microbiol       Date:  2001-08       Impact factor: 5.948

4.  Identification of Mycobacterium spp. by using a commercial 16S ribosomal DNA sequencing kit and additional sequencing libraries.

Authors:  J L Cloud; H Neal; R Rosenberry; C Y Turenne; M Jama; D R Hillyard; K C Carroll
Journal:  J Clin Microbiol       Date:  2002-02       Impact factor: 5.948

5.  Necessity of quality-controlled 16S rRNA gene sequence databases: identifying nontuberculous Mycobacterium species.

Authors:  C Y Turenne; L Tschetter; J Wolfe; A Kabani
Journal:  J Clin Microbiol       Date:  2001-10       Impact factor: 5.948

6.  Occurrence of nontuberculous mycobacteria in environmental samples.

Authors:  T C Covert; M R Rodgers; A L Reyes; G N Stelma
Journal:  Appl Environ Microbiol       Date:  1999-06       Impact factor: 4.792

7.  Conventional methods versus 16S ribosomal DNA sequencing for identification of nontuberculous mycobacteria: cost analysis.

Authors:  Victoria J Cook; Christine Y Turenne; Joyce Wolfe; Ryan Pauls; Amin Kabani
Journal:  J Clin Microbiol       Date:  2003-03       Impact factor: 5.948

8.  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

9.  Evaluation of the MicroSeq system for identification of mycobacteria by 16S ribosomal DNA sequencing and its integration into a routine clinical mycobacteriology laboratory.

Authors:  Leslie Hall; Kelly A Doerr; Sherri L Wohlfiel; Glenn D Roberts
Journal:  J Clin Microbiol       Date:  2003-04       Impact factor: 5.948

10.  Detection of fastidious mycobacteria in human intestines by the polymerase chain reaction.

Authors:  J M Dumonceau; A Van Gossum; M Adler; J P Van Vooren; P A Fonteyne; H De Beenhouwer; F Portaels
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1997-05       Impact factor: 3.267

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