ArticleJournal of clinical microbiology2003
Evaluation of the MicroSeq system for identification of mycobacteria by 16S ribosomal DNA sequencing and its integration into a routine clinical mycobacteriology laboratory.
Article in Journal of clinical microbiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.
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Who cites it
82 citing papers in PubMed.
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- Rapidly growing knowledge ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024Article
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- Epidemiology, Timing, and Secondary Prophylaxis of Recurrent Nocardiosis.Open forum infectious diseases · 2024Article
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- Outcomes of transplant recipients with pretransplant Nocardia colonization or infection.Transplant infectious disease : an official journal of the Transplantation Society · 2023Article
- Mortality After Nocardiosis: Risk Factors and Evaluation of Disseminated Infection.Open forum infectious diseases · 2023Article
- The Homologous Gene of Chromosomal Virulence D (Infection and drug resistance · 2023Article
- Description, validation, and review of a decade of experience with a laboratory-developed PCR test for detection ofJournal of clinical tuberculosis and other mycobacterial diseases · 2022Article
- Production optimization, stability and oil emulsifying potential of biosurfactants from selected bacteria isolated from oil-contaminated sites.Royal Society open science · 2021Article
- Rapid diagnosis of disseminatedWorld journal of clinical cases · 2021Article
- Recognition of Diagnostic Gaps for Laboratory Diagnosis of Fungal Diseases: Expert Opinion from the Fungal Diagnostics Laboratories Consortium (FDLC).Journal of clinical microbiology · 2021Article
- Comparison of Cell Culture with Three Conventional Polymerase Chain Reactions for Detecting Chlamydophila pneumoniae in Adult's Pharyngotonsillitis.Current microbiology · 2020Article
- Performance and Application of 16S rRNA Gene Cycle Sequencing for Routine Identification of Bacteria in the Clinical Microbiology Laboratory.Clinical microbiology reviews · 2020Review
22 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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% 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.
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