Evaluation of the MicroSeq System for Identification of Mycobacteria by 16S Ribosomal DNA Sequencing and Its Integration into a Routine Clinical Mycobacteriology Laboratory
- 1 April 2003
- journal article
- research article
- Published by American Society for Microbiology in Journal of Clinical Microbiology
- Vol. 41 (4) , 1447-1453
- https://doi.org/10.1128/jcm.41.4.1447-1453.2003
Abstract
An evaluation of the MicroSeq 500 microbial identification system by nucleic acid sequencing and the Mayo Clinic experience with its integration into a routine clinical laboratory setting are described. Evaluation of the MicroSeq 500 microbial identification system was accomplished with 59 American Type Culture Collection (ATCC) strains and 328 clinical isolates of mycobacteria identified by conventional and 16S ribosomal DNA sequencing by using the MicroSeq 500 microbial identification system. Nucleic acid sequencing identified 58 of 59 (98.3%) ATCC strains to the species level or to the correct group or complex level. The identification results for 219 of 243 clinical isolates (90.1%) with a distance score of 1%; 35 (41.1%) were identified to the appropriate species level or group or complex level; 13 (15.3%) were identified to the species level. All 85 isolates were determined to be mycobacterial species, either novel species or species that exhibited significant genotypic divergence from an organism in the database with the closest match. Integration of nucleic acid sequencing into the routine mycobacteriology laboratory and use of the MicroSeq 500 microbial identification system and Mayo Clinic databases containing additional genotypes of common species and added species significantly reduced the number of organisms that could not be identified by phenotypic methods. The turnaround time was shortened to 24 h, and results were reported much earlier. A limited number of species could not be differentiated from one another by 16S ribosomal DNA sequencing; however, the method provides for the identification of unusual species and more accurate identifications and offers the promise of being the most accurate method available.Keywords
This publication has 33 references indexed in Scilit:
- What a Load of Old Sequence!!!Journal of Clinical Microbiology, 2002
- Identification of Mycobacterium spp. by Using a Commercial 16S Ribosomal DNA Sequencing Kit and Additional Sequencing LibrariesJournal of Clinical Microbiology, 2002
- Burden of Unidentifiable Mycobacteria in a Reference LaboratoryJournal of Clinical Microbiology, 2001
- Mycobacterium doricum sp. nov.International Journal of Systematic and Evolutionary Microbiology, 2001
- Identification of 54 Mycobacterial Species by PCR-Restriction Fragment Length Polymorphism Analysis of the hsp65 GeneJournal of Clinical Microbiology, 2001
- Mycobacterium kubicae sp. nov., a slowly growing, scotochromogenic Mycobacterium.International Journal of Systematic and Evolutionary Microbiology, 2000
- Identification of Non-tuberculous Mycobacteria: 16S rRNA Gene Sequence Analysis vs. Conventional MethodsScandinavian Journal of Infectious Diseases, 2000
- Identification of Clinical isolates of Mycobacterium spp. by sequence analysis of the 16S ribosomal RNA geneAPMIS, 1999
- Intuitive hypertext-based molecular identification of micro-organismsThe Lancet, 1999
- Differentiation of Mycobacterium species by direct sequencing of amplified DNAJournal of General Microbiology, 1990