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Journal of Clinical Microbiology, April 2003, p. 1447-1453, Vol. 41, No. 4
0095-1137/03/$08.00+0     DOI: 10.1128/JCM.41.4.1447-1453.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.

Evaluation of the MicroSeq System for Identification of Mycobacteria by 16S Ribosomal DNA Sequencing and Its Integration into a Routine Clinical Mycobacteriology Laboratory

Leslie Hall, Kelly A. Doerr, Sherri L. Wohlfiel, and Glenn D. Roberts*

Department of Laboratory Medicine and Pathology, Division of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota 55905

Received 29 July 2002/ Returned for modification 18 September 2002/ Accepted 22 January 2003

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% were concordant with the identifications made by phenotypic methods. The remaining 85 isolates had distance scores 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.

* Corresponding author. Mailing address: Department of Laboratory Medicine and Pathology, Division of Clinical Microbiology, Hilton Building, Mayo Clinic, 200 First St. SW, Rochester, MN 55905. Phone: (507) 284-2511. Fax: (507) 284-9859. E-mail: roberts.glenn{at}mayo.edu.

Journal of Clinical Microbiology, April 2003, p. 1447-1453, Vol. 41, No. 4
0095-1137/03/$08.00+0     DOI: 10.1128/JCM.41.4.1447-1453.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.



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