Literature DB >> 10225322

Identification of clinical isolates of Mycobacterium spp. by sequence analysis of the 16S ribosomal RNA gene. Experience from a clinical laboratory.

M Holberg-Petersen1, M Steinbakk, K J Figenschau, E Jantzen, J Eng, K K Melby.   

Abstract

Twenty-one mycobacterial type strains and 334 clinical isolates of mycobacteria were identified by standardized sequence analysis using part of the gene encoding 16S rRNA. Apart from two clinical isolates, the resulting sequences corresponded to previously published sequences. The results of the molecular determinations of the type strains completely overlapped the identities obtained using conventional techniques (cultural characteristics, biochemical tests, commercial DNA probes, and gas chromatographic lipid profiles). Of 323 isolates conventionally identified as slow-growing mycobacteria, 318 (98.5%) were identified to the same species or group level by 16S rDNA sequence analysis, while 6 of the 11 strains of rapid growers obtained a corresponding identity with the two approaches. The sequencing protocol combined with a few cultural characteristics (i.e. growth rate, pigmentation and susceptibility testing) offers a rapid, reliable and usually definite identification of mycobacterial isolates.

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Year:  1999        PMID: 10225322

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  11 in total

1.  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

2.  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

3.  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

4.  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

5.  Detection and identification of Mycobacterium species isolates by DNA microarray.

Authors:  Masao Fukushima; Kenichi Kakinuma; Hiroshi Hayashi; Hiroko Nagai; Kunihiko Ito; Ryuji Kawaguchi
Journal:  J Clin Microbiol       Date:  2003-06       Impact factor: 5.948

6.  Intra- and interpatient variability of the hsp65 and 16S-23S intergenic gene region in Mycobacterium abscessus strains from patients with cystic fibrosis.

Authors:  Brigitte König; Ina Tammer; Veronika Sollich; Wolfgang König
Journal:  J Clin Microbiol       Date:  2005-07       Impact factor: 5.948

Review 7.  Identification of Mycobacterium neoaurum isolated from a neutropenic patient with catheter-related bacteremia by 16S rRNA sequencing.

Authors:  P C Woo; H W Tsoi; K W Leung; P N Lum; A S Leung; C H Ma; K M Kam; K Y Yuen
Journal:  J Clin Microbiol       Date:  2000-09       Impact factor: 5.948

8.  Hip prosthesis infection due to Mycobacterium wolinskyi.

Authors:  Céline Pulcini; Eric Vandenbussche; Isabelle Podglajen; Wladimir Sougakoff; Chantal Truffot-Pernot; Annie Buu-Hoï; Emmanuelle Varon; Jean-Luc Mainardi
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

9.  Bacteremia caused by Mycobacterium wolinskyi.

Authors:  Yu-Chuan Chen; Ruwen Jou; Wei-Lun Huang; Shao-Tsung Huang; Keng-Chang Liu; Chorng-Jang Lay; Shu-Mei Chang; Chih-En Tseng; Chun-Liang Lai; Yu-Chieh Su
Journal:  Emerg Infect Dis       Date:  2008-11       Impact factor: 6.883

10.  RIDOM: comprehensive and public sequence database for identification of Mycobacterium species.

Authors:  Dag Harmsen; Stefan Dostal; Andreas Roth; Stefan Niemann; Jörg Rothgänger; Michael Sammeth; Jürgen Albert; Matthias Frosch; Elvira Richter
Journal:  BMC Infect Dis       Date:  2003-11-11       Impact factor: 3.090

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