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J Clin Microbiol. 2010 March; 48(3): 963–965.
Published online 2010 January 6. doi:  10.1128/JCM.02086-09
PMCID: PMC2832405

Evaluation of Sensititre Plates for Identification of Clinically Relevant Coagulase-Negative Staphylococci [down-pointing small open triangle]

Abstract

Coagulase-negative staphylococcus isolates were identified using Sensititre GPID plates and API strips (n = 156). For selected isolates, partial sequencing of the 16S rRNA, sodA, and tuf genes was performed. The Sensititre plates correctly identified 68.9% of isolates, with a concordance of 86% for Staphylococcus haemolyticus and 73% for Staphylococcus epidermidis.

Infections caused by coagulase-negative staphylococci (CoNS) are increasing (2-4, 6, 8, 12, 14). None of the commercially available options for the identification of staphylococcal species is 100% accurate for all CoNS (1, 5, 7, 9). Sensititre identification GPID plates (TREK Diagnostic Systems Inc., Cleveland, OH) identify the most common staphylococci and include in its taxa Staphylococcus aureus, Staphylococcus capitis subsp. capitis, Staphylococcus epidermidis, Staphylococcus haemolyticus, Staphylococcus hominis subsp. hominis, Staphylococcus lugdunensis, Staphylococcus saprophyticus subsp. saprophyticus, and Staphylococcus warneri. Our objective was to evaluate the Sensititre system for the identification of CoNS species for routine diagnostic use.

Clinically relevant CoNS isolates (n = 156) were collected from May 2006 to May 2009 from the Hospital Civil de Guadalajara and the Hospital Universitario in Monterrey. Only one isolate per patient was included. Pure bacterial isolates were stored in Brucella broth containing 15% glycerol at −70°C.

All isolates were identified using both Sensititre GPID plates and API Staph strips following manufacturer's instructions. Sensititre plates were read with a Sensititre AutoReader, and API STAPH V4.1 identification software was used for the API strips. For both phenotypic methods, when the result was inconclusive, manual tests recommended by the manufacturer were performed to resolve the identity of the test isolate. If no satisfactory identification was obtained, the identification was repeated.

For all isolates with discordant results between the two phenotypic methods and for randomly selected clinical isolates with the same result from both phenotypic methods, partial sequencing of the 16S rRNA gene was performed. For these isolates, 3 to 5 colonies were suspended in sterile water, and the suspension was boiled for 5 min and then centrifuged; the supernatant was used as the DNA template for PCR assays. PCR was performed as described previously (10), and PCR products were purified using the commercial Wizard PCR Preps DNA purification system (Promega, Madison, WI). Sequencing of the ~1,200-bp products was performed in both directions at the Instituto de Biotecnología, Universidad Nacional Autónoma de México. When no definitive identification could be made based on 16S rRNA analysis, partial sequencing of the sodA and tuf genes was performed as described previously (5, 11).

DNA sequence fragments were compared to NCBI GenBank sequence entries using the BLAST algorithm (http://www.ncbi.nlm.nih.gov/BLAST). Homology values above 97% were considered reliable (13). If more than one species fulfilled this criterion, definitive species identification was archived based on the species with the higher percentage homology.

The quality control strains S. haemolyticus ATCC 29970, S. capitis ATCC 35661, Staphylococcus xylosus ATCC 700404, S. lugdunensis ATCC 49576, S. hominis ATCC 27844, S. saprophyticus ATCC 15305, S. epidermidis ATCC 14990, Staphylococcus sciuri ATCC 29060, and Staphylococcus intermedius ATCC 29663 were tested with both the API strips and the Sensititre plates.

The quality control strains were correctly identified by both phenotypic methods for S. saprophyticus, S. epidermidis, S. haemolyticus, S. capitis, and S. hominis. The API strips correctly identified S. sciuri, S. xylosus, and S. lugdunensis, but the Sensititre system did not identify any of these species. S. intermedius was not identified by either of the two methods.

Ninety-six (62%) isolates showed agreement in the phenotypic test results (Table (Table1),1), and identification was confirmed by partial sequencing of the 16S rRNA gene in 32/36 (89%) isolates.

TABLE 1.
Identification results for CoNS isolates

For isolates with discordant results by both phenotypic methods, partial sequencing of the 16S rRNA confirmed the identification with the API strips in 40/60 isolates (67%) and with the Sensititre plates in 8/60 isolates (13%). Identification with the 16S rRNA gene was confirmed for 10 isolates out of 16 sequenced for the tuf and sodA gene.

The percentage of correct results for all isolates was recorded. The overall percentage of isolates correctly identified by Sensititre was 68.9% (102/148), and that correctly identified by the API strips was 91% (141/155) (Table (Table22).

TABLE 2.
Concordance of Sensititre plates and API Staph strips

Sensititre panels are widely used for antimicrobial susceptibility assays, and some laboratories may prefer the use of a single type of panel for both identification and susceptibility testing. This allows data to be collected using a single reader and might also have administrative advantages. However, there are some limitations of the Sensititre identification plates: the plates cannot be read manually, they allow identification only of Gram-positive taxa in the Sensititre database, which does not include species such as S. cohnii and S. sciuri (8.5% and 3.8%, respectively, in this population), and they display low reliability for some species, as demonstrated by this study.

The overall performance of the molecular identification by the partial sequencing of the 16S rRNA gene proved to be quite good, with only 6 misidentifications out of 96 (94%). Misidentification using this strategy has also been reported by Heikens et al. (5) and Brigante et al. (1). An explanation for these misidentifications may be that the deposited sequences in GenBank are incorrectly assigned to the various Staphylococcus species, which has been suggested by Heikens et al. (5). For the sequencing of 16S rRNA, it is accepted that homology values above 97.4% are reliable if a 1.45-kb fragment is sequenced (13). In this study, we sequenced only ~1,200 bp, and we decided to use a 97% cutoff value.

In this study, the sodA and tuf genes were effective for the identification of CoNS with the advantage of requiring a small fragment of DNA sequence for effective discrimination (236 bp for sodA and 412 bp for tuf) (5, 11).

In only 10 isolates, the API strips gave a result discordant with the decisive molecular data, and among these isolates were Staphylococcus pasteuri, Staphylococcus gallinarum, and Staphylococcus pettenkoferi, which are not in the database of the API system, explaining the misidentification.

In conclusion, the Sensititre system provided moderate reliability for the identification of the most commonly identified CoNS, but reliability notably decreased for other less commonly encountered species.

Nucleotide sequence accession numbers.

Partial sequences of the 16S rRNA genes of S. pettenkoferi, S. gallinarum, and S. pasteuri were deposited in GenBank under accession numbers GQ145596 and GQ979971 (S. pettenkoferi) and GQ979967 (S. gallinarum) and GQ979969 (S. pasteuri).

Acknowledgments

We thank Maria de la Luz Acevedo and Carlos Paz for their technical assistance and Sergio Lozano for reviewing the manuscript.

Footnotes

[down-pointing small open triangle]Published ahead of print on 6 January 2010.

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