Literature DB >> 2283506

Differentiation of Mycobacterium species by direct sequencing of amplified DNA.

T Rogall1, T Flohr, E C Böttger.   

Abstract

Nucleotide sequences specific for a range of Mycobacterium species were defined by computer-assisted sequence comparisons of small subunit ribosomal RNA. A polymerase chain reaction-based sequencing strategy was used to demonstrate that the 16S rRNA sequence can be used for the rapid identification of mycobacterial isolates. Identification at the species level can be obtained within 2 d, requiring less than 10,000 bacteria. This procedure reliably differentiates Mycobacterium spp. which are difficult to identify by classical methods, such as M. malmoense, M. szulgai and M. flavescens.

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Year:  1990        PMID: 2283506     DOI: 10.1099/00221287-136-9-1915

Source DB:  PubMed          Journal:  J Gen Microbiol        ISSN: 0022-1287


  106 in total

1.  Molecular epidemiology of Mycobacterium tuberculosis in Norway.

Authors:  U R Dahle; P Sandven; E Heldal; D A Caugant
Journal:  J Clin Microbiol       Date:  2001-05       Impact factor: 5.948

2.  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

Review 3.  Mycobacteria: bugs and bugbears (two steps forward and one step back).

Authors:  T Parish; N G Stoker
Journal:  Mol Biotechnol       Date:  1999-12-15       Impact factor: 2.695

4.  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

5.  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

6.  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

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.  PCR-enzyme-linked immunosorbent assay and partial rRNA gene sequencing: a rational approach to identifying mycobacteria.

Authors:  S Patel; M Yates; N A Saunders
Journal:  J Clin Microbiol       Date:  1997-09       Impact factor: 5.948

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