Literature DB >> 10716077

Identification of non-tuberculous mycobacteria: 16S rRNA gene sequence analysis vs. conventional methods.

N M El Amin1, H S Hanson, B Pettersson, B Petrini, L V Von Stedingk.   

Abstract

In a retrospective study, 45 clinical isolates of non-tuberculous mycobacteria were identified to the species level by biochemical profile, gas liquid chromatography and partial sequence analysis of 16S rRNA, and were found to represent 13 different species. The results of sequence analysis showed 100% identity with conventional tests for 34 isolates (76%) and could identify species such as M. bohemicum which are difficult to characterise with conventional methods. Most of the discrepant results for the remaining 11 isolates resulted in species of the same group of mycobacteria. Based on these findings. we concluded that direct sequence analysis of amplified 16S rRNA gene is a promising rapid and accurate method for species determination of non-tuberculous mycobacteria.

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Year:  2000        PMID: 10716077     DOI: 10.1080/00365540050164218

Source DB:  PubMed          Journal:  Scand J Infect Dis        ISSN: 0036-5548


  13 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.  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

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.  Use of the MGB Eclipse system and SmartCycler PCR for differentiation of Mycobacterium chelonae and M. abscessus.

Authors:  Joann L Cloud; Karen Hoggan; Evgeniy Belousov; Samuel Cohen; Barbara A Brown-Elliott; Linda Mann; Rebecca Wilson; Wade Aldous; Richard J Wallace; Gail L Woods
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

6.  Pseudoepidemic due to a unique strain of Mycobacterium szulgai: genotypic, phenotypic, and epidemiological analysis.

Authors:  Qing Zhang; Randa Kennon; Maureen A Koza; Kristina Hulten; Jill E Clarridge
Journal:  J Clin Microbiol       Date:  2002-04       Impact factor: 5.948

7.  Prevalence of Culture-Confirmed Tuberculosis Among Patients with Nontuberculous Mycobacterial Disease.

Authors:  Yu He; Jun-Li Wang; Yan-An Zhang; Mao-Shui Wang
Journal:  Infect Drug Resist       Date:  2022-06-17       Impact factor: 4.177

8.  Comparison of three methods for rapid identification of mycobacterial clinical isolates to the species level.

Authors:  Xueqiong Wu; Junxian Zhang; Jianqin Liang; Yang Lu; Hongmin Li; Chuihuan Li; Jun Yue; Lishui Zhang; Zhihui Liu
Journal:  J Clin Microbiol       Date:  2007-03-14       Impact factor: 5.948

9.  Prevalence of nontuberculous mycobacteria infection, China, 2004-2009.

Authors:  Hui Jing; Haiying Wang; Yan Wang; Yunfeng Deng; Xinxin Li; Zhimin Liu; Edward A Graviss; Xin Ma
Journal:  Emerg Infect Dis       Date:  2012-03       Impact factor: 6.883

10.  Comparative Genome Analysis of 2 Mycobacterium Tuberculosis Strains from Pakistan: Insights Globally Into Drug Resistance, Virulence, and Niche Adaptation.

Authors:  Asma Muhammad Yar; Ghanva Zaman; Annam Hussain; Yan Changhui; Azhar Rasul; Abrar Hussain; Zhu Bo; Habib Bokhari; Muhammad Ibrahim
Journal:  Evol Bioinform Online       Date:  2018-07-23       Impact factor: 1.625

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