Literature DB >> 11825949

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

J L Cloud1, H Neal, R Rosenberry, C Y Turenne, M Jama, D R Hillyard, K C Carroll.   

Abstract

Current methods for identification of Mycobacterium spp. rely upon time-consuming phenotypic tests, mycolic acid analysis, and narrow-spectrum nucleic acid probes. Newer approaches include PCR and sequencing technologies. We evaluated the MicroSeq 500 16S ribosomal DNA (rDNA) bacterial sequencing kit (Applied Biosystems, Foster City, Calif.) for its ability to identify Mycobacterium isolates. The kit is based on PCR and sequencing of the first 500 bp of the bacterial rRNA gene. One hundred nineteen mycobacterial isolates (94 clinical isolates and 25 reference strains) were identified using traditional phenotypic methods and the MicroSeq system in conjunction with separate databases. The sequencing system gave 87% (104 of 119) concordant results when compared with traditional phenotypic methods. An independent laboratory using a separate database analyzed the sequences of the 15 discordant samples and confirmed the results. The use of 16S rDNA sequencing technology for identification of Mycobacterium spp. provides more rapid and more accurate characterization than do phenotypic methods. The MicroSeq 500 system simplifies the sequencing process but, in its present form, requires use of additional databases such as the Ribosomal Differentiation of Medical Microorganisms (RIDOM) to precisely identify subtypes of type strains and species not currently in the MicroSeq library.

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Year:  2002        PMID: 11825949      PMCID: PMC153382          DOI: 10.1128/JCM.40.2.400-406.2002

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


  29 in total

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Journal:  J Clin Microbiol       Date:  1991-11       Impact factor: 5.948

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Journal:  J Clin Microbiol       Date:  1993-11       Impact factor: 5.948

3.  Evaluation of acridinium-ester-labeled DNA probes for identification of Mycobacterium tuberculosis and Mycobacterium avium-Mycobacterium intracellulare complex in culture.

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Journal:  J Clin Microbiol       Date:  1991-11       Impact factor: 5.948

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Journal:  Antimicrob Agents Chemother       Date:  1994-02       Impact factor: 5.191

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Authors:  L Thibert; S Lapierre
Journal:  J Clin Microbiol       Date:  1993-07       Impact factor: 5.948

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Journal:  Eur J Clin Microbiol Infect Dis       Date:  1994-11       Impact factor: 3.267

8.  Genetic heterogeneity within Mycobacterium fortuitum complex species: genotypic criteria for identification.

Authors:  P Kirschner; M Kiekenbeck; D Meissner; J Wolters; E C Böttger
Journal:  J Clin Microbiol       Date:  1992-11       Impact factor: 5.948

Review 9.  Diagnostic mycobacteriology laboratory practices.

Authors:  T M Shinnick; R C Good
Journal:  Clin Infect Dis       Date:  1995-08       Impact factor: 9.079

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

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Journal:  Eur J Clin Microbiol Infect Dis       Date:  1993-04       Impact factor: 3.267

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  51 in total

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

4.  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

5.  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

Review 6.  Extensively drug-resistant tuberculosis in a young child after travel to India.

Authors:  Nicole Salazar-Austin; Alvaro A Ordonez; Alice Jenh Hsu; Jane E Benson; Mahadevappa Mahesh; Elizabeth Menachery; Jafar H Razeq; Max Salfinger; Jeffrey R Starke; Aaron M Milstone; Nicole Parrish; Eric L Nuermberger; Sanjay K Jain
Journal:  Lancet Infect Dis       Date:  2015-11-16       Impact factor: 25.071

Review 7.  Molecular diagnostics in tuberculosis.

Authors:  V C C Cheng; W W Yew; K Y Yuen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2005-11       Impact factor: 3.267

8.  Advantages of using matrix-assisted laser desorption ionization-time of flight mass spectrometry as a rapid diagnostic tool for identification of yeasts and mycobacteria in the clinical microbiological laboratory.

Authors:  Jonathan H K Chen; Wing-Cheong Yam; Antonio H Y Ngan; Ami M Y Fung; Wai-Lan Woo; Mei-Kum Yan; Garnet K Y Choi; Pak-Leung Ho; Vincent C C Cheng; Kwok-Yung Yuen
Journal:  J Clin Microbiol       Date:  2013-09-18       Impact factor: 5.948

9.  Identification of Mycobacterium species by secA1 sequences.

Authors:  Adrian M Zelazny; Leslie B Calhoun; Li Li; Yvonne R Shea; Steven H Fischer
Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

10.  Bacterial classification of fish-pathogenic Mycobacterium species by multigene phylogenetic analyses and MALDI Biotyper identification system.

Authors:  Satoru Kurokawa; Jun Kabayama; Tsuguaki Fukuyasu; Seong Don Hwang; Chan-Il Park; Seong-Bin Park; Carmelo S del Castillo; Jun-ichi Hikima; Tae-Sung Jung; Hidehiro Kondo; Ikuo Hirono; Haruko Takeyama; Takashi Aoki
Journal:  Mar Biotechnol (NY)       Date:  2012-11-16       Impact factor: 3.619

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