Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2005 Feb;43(2):615-9.
doi: 10.1128/JCM.43.2.615-619.2005.

Use of the MicroSeq 500 16S rRNA gene-based sequencing for identification of bacterial isolates that commercial automated systems failed to identify correctly

Affiliations

Use of the MicroSeq 500 16S rRNA gene-based sequencing for identification of bacterial isolates that commercial automated systems failed to identify correctly

Carla Fontana et al. J Clin Microbiol. 2005 Feb.

Abstract

Reliable automated identification and susceptibility testing of clinically relevant bacteria is an essential routine for microbiology laboratories, thus improving patient care. Examples of automated identification systems include the Phoenix (Becton Dickinson) and the VITEK 2 (bioMerieux). However, more and more frequently, microbiologists must isolate "difficult" strains that automated systems often fail to identify. An alternative approach could be the genetic identification of isolates; this is based on 16S rRNA gene sequencing and analysis. The aim of the present study was to evaluate the possible use of MicroSeq 500 (Applera) for sequencing the 16S rRNA gene to identify isolates whose identification is unobtainable by conventional systems. We analyzed 83 "difficult" clinical isolates: 25 gram-positive and 58 gram-negative strains that were contemporaneously identified by both systems--VITEK 2 and Phoenix--while genetic identification was performed by using the MicroSeq 500 system. The results showed that phenotypic identifications by VITEK 2 and Phoenix were remarkably similar: 74% for gram-negative strains (43 of 58) and 80% for gram-positive strains were concordant by both systems and also concordant with genetic characterization. The exceptions were the 15 gram-negative and 9 gram-positive isolates whose phenotypic identifications were contrasting or inconclusive. For these, the use of MicroSeq 500 was fundamental to achieving species identification. In clinical microbiology the use of MicroSeq 500, particularly for strains with ambiguous biochemical profiles (including slow-growing strains), identifies strains more easily than do conventional systems. Moreover, MicroSeq 500 is easy to use and cost-effective, making it applicable also in the clinical laboratory.

PubMed Disclaimer

Figures

FIG. 1.
FIG. 1.
Gram-negative ID: comparison of the results provided by using VITEK 2 versus Phoenix and MicroSeq 500 and Phoenix versus VITEK 2 and MicroSeq 500.
FIG. 2.
FIG. 2.
Gram-positive ID: comparison of the results furnished by using VITEK 2 versus Phoenix and MicroSeq 500 and Phoenix versus VITEK 2 and MicroSeq 500.

Similar articles

Cited by

References

    1. Barenfanger, J., C. Drake, and G. Kacich. 1999. Clinical and financial benefits of rapid bacterial identification and antimicrobial susceptibility testing. J. Clin. Microb. 37:1415-1418. - PMC - PubMed
    1. Brisse, S., S. Stefani, J. Verhoef, A. V. Belkum, P. Vandamme, and W. Goessens. 2002. Comparative evaluation of the BD Phoenix and Vitek2 automated instruments for identification of isolates of the Burkholderia cepacia complex. J. Clin. Microb. 40:1743-1748. - PMC - PubMed
    1. Clermont, D., C. Harmant, and C. Bizet. 2001. Identification of strains of Alcaligenes and Agrobacterium by a polyphasic approach. J. Clin. Microbiol. 39:3104-3109. - PMC - PubMed
    1. Cloud, J. L., P. S. Conville, A. Croft, D. Harmsen, F. G. Witebsky, and K. C. Carroll. 2004. Evaluation of partial 16S ribosomal DNA sequencing for identification of Nocardia species by using the MicroSeq 500 system with an expanded database. J. Clin. Microbiol. 42:578-584. - PMC - PubMed
    1. Donay, J. L., D. M. P. Fernandes, C. Prégermain, P. Bruel, A. Wargnier, I. Casin, F. X. Weill, P. H. Lagrange, and J. L. Herrmann. 2004. Evaluation of the automated Phoenix system for potential routine use in the clinical microbiology laboratory. J. Clin. Microbiol. 42:1542-1546. - PMC - PubMed

Publication types

MeSH terms

LinkOut - more resources