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Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2005 Jan;43(1):84–88. doi: 10.1128/JCM.43.1.84-88.2005

Performance of the New VITEK 2 GP Card for Identification of Medically Relevant Gram-Positive Cocci in a Routine Clinical Laboratory

Guido Funke 1,*, Pascale Funke-Kissling 1
PMCID: PMC540120  PMID: 15634954

Abstract

The VITEK 2 gram-positive (GP) identification card (bioMérieux, Marcy l'Etoile, France) has been redesigned to achieve greater accuracy in the identification of gram-positive cocci. A total of 43 biochemical tests, including 17 enzymatic tests, are present in the card and interpreted in a kinetic mode, for up to 8 h. The VITEK 2 database, used in conjunction with the GP identification card, allows the identification of 115 different taxa. A total of 364 strains of GP cocci (217 Streptococcaceae strains and 147 Micrococcaceae strains) belonging to 31 taxa were tested with the new VITEK 2 GP identification card. Of the 364 strains, 105 were taken from routine primary plating media. A total of 344 strains (94.5%) were correctly identified to the species level and 17 strains (4.7%) were identified with low discrimination, requiring additional tests, whereas 1 strain (0.3%) was incorrectly identified and 2 strains (0.5%) remained unidentified. Within 7 h of the start of incubation, more than 90% of all strains were identified. Of the 105 primary cultures, 97% were correctly identified to the species level, 2% were identified with low discrimination, and 1% remained unidentified. Identification performance data were independent of each of the three plating media used. It is concluded that the new VITEK 2 GP identification card provides reliable results for the identification of GP cocci under routine laboratory conditions.


Highly automated identification systems are nowadays widely distributed in many medium-to-high-throughput clinical microbiology laboratories. These systems improve the quality of patient care and enable more-cost-effective management of the same by enabling clinical microbiologists to identify medically relevant bacteria more rapidly and accurately (1, 2). An important measure of the value of a highly standardized commercial identification system must be the capability of the manufacturer to maintain or even improve the performance of an identification system over time. The new VITEK 2 gram-positive (GP) identification card (bioMérieux, Marcy l′Etoile, France) for identification of GP cocci was created in recent years as research and development related to the VITEK 2 instrument continued. The rationale for designing the new VITEK 2 GP identification card was to broaden the VITEK 2 database while maintaining the quality of the identification results in the routine clinical laboratory. The GP identification card contains 43 tests (27 tests that had been included in the previous card and 16 new tests), compared to 47 in the established VITEK 2 GP identification card (ID-GPC), and 115, instead of 51, taxa are covered by the new database corresponding to the GP identification card. While the ID-GPC tests are based on fluorescence technology, the GP identification card tests are based on colorimetric detection. Both the ID-GPC and GP identification card tests are subjected to measurements every 15 min, and the total incubation time is up to approximately 8 h with the GP identification card, as opposed to 2 h with the ID-GPC.

The aim of the present study was to evaluate the newly developed VITEK 2 GP identification card in a routine clinical laboratory by a weighted laboratory profile (9).

(This paper was presented in part at the 104th General Meeting of the American Society for Microbiology, New Orleans, La., 23 to 27 May 2004 [G. Funke and P. Funke-Kissling, Abstr. 104th Gen. Meet. Am. Soc. Microbiol., abstr. C-178, 2004].)

MATERIALS AND METHODS

Laboratory, strains, culture conditions, and identification.

The study was performed at Gärtner and Colleagues Laboratories, an accredited reference laboratory that serves over 100 hospitals of all levels and over 3,000 physicians in private practice. The strains included in the present study were collected within a 3-month period. The number of strains per species was limited to a maximum of 45. A total of 105 strains of GP cocci were taken from primary isolation plates set up on Columbia sheep blood agar (BD, Heidelberg, Germany) in our routine clinical laboratory for various types of patient specimens (blood culture, wound swab, respiratory, and urine specimens, etc.). The other 259 strains came from primary isolation plates that had been stored at 4 to 8°C for less than 1 week. These strains were subcultured on Columbia sheep blood agar from BD (n = 70), Columbia sheep blood agar from bioMérieux (n = 78), or Trypticase soy blood agar (bioMérieux) (n = 111) for 18 to 24 h at 37°C before they were subjected to VITEK 2 analysis. All strains included in the present study came from unrelated patients, and consecutive cultures from the same patient were also excluded. The 364 strains used in this study were identified by conventional methods (10) as well as by VITEK 1 analysis with the GP identification card designed for use with that system. For identification by conventional methods, the following characteristics were tested: colony pigmentation, hemolysis, adherence to agar, colony odor, catalase and oxidase reaction, clumping factor test (bioMérieux), reaction(s) to Lancefield group streptococcal antisera (Oxoid, Basingstoke, United Kingdom), reaction(s) to pneumococcal antisera (bioMérieux), as well as susceptibilities to optochin and bacitracin. Discrepancies between the identifications obtained by conventional methods and VITEK 1 analysis and those obtained by VITEK 2 analysis were resolved by using ID 32 STAPH and rapid ID 32 STREP galleries (both from bioMérieux) as well as by sequencing of 16S rRNA genes (which was necessary for a total of nine strains) as previously outlined (5).

New GP identification card and VITEK 2 instrument.

A bacterial suspension was adjusted to a McFarland standard of 0.5 in 2.5 ml of a 0.45% sodium chloride solution with a VITEK 2 instrument (DensiChek; bioMérieux). The time between preparation of the inoculum and the card filling was always less than 30 min. The format of the GP identification card is the same as that of the ID-GPC, i.e., a 64-well plastic card which contains now 43 instead of 47 tests (see above). The GP identification card includes test for the following reactions: phosphatidylinositol phospholipase C, arginine dihydrolase (two tests), β-galactosidase, α-glucosidase, alanine-phenylalanine-proline arylamidase, l-aspartic acid arylamidase, β-galactosidase, α-mannosidase, alkaline phosphatase, l-leucine arylamidase, proline arylamidase, β-glucuronidase (two tests), α-galactosidase, l-pyroglutamic acid arylamidase, alanine arylamidase, tyrosine arylamidase, and urease. The GP identification card also tests acid production from the following substrates: amygdalin, xylose, α-cyclodextrin, sorbitol, galactose, ribose, lactate, lactose, N-acetyl-glucosamine, maltose, mannitol, mannose, methyl-β-d-glucopyranoside, pullulan, raffinose, salicin, sucrose, and trehalose. Finally, growth in 6.5% NaCl as well as tests for resistance to polymyxin B, bacitracin, novobiocin, O129, and optochin are also included in the GP identification card.

The GP identification card is a fully closed system to which no reagents have to be added. The card was put on the cassette designed for use with the VITEK 2 system, placed in the instrument, automatically filled in a vacuum chamber, sealed, incubated at 35.5°C, and automatically subjected to colorimetric measurement (with a new reading head) every 15 min for a maximum incubation period of 8 h. Data were analyzed using VITEK 2 database version 4.01, which allows organism identification in a kinetic mode beginning 180 min after the start of incubation. In the kinetic mode, all 43 tests are individually interpreted using a first-level algorithm based on the color change of the reaction. Every 15 min, a second-level algorithm analyzes the biopattern (i.e., interpreted and not interpreted tests) and verifies if it is sufficient to give the final identification call. The second algorithm also checks, using a specific calculation, that the later results of not-yet-interpreted tests will not change the identification call.

Quality control strains.

During the evaluation period the following quality control strains were checked at regular intervals: Enterococcus casseliflavus (ATCC 700327), Enterococcus faecalis (ATCC 29212), Enterococcus saccharolyticus (ATCC 43076T), Kytococcus sedentarius (ATCC 27575), Staphylococcus aureus (ATCC 29213), Staphylococcus saprophyticus (ATCC BAA-750), and Streptococcus equi subsp. zooepidemicus (ATCC 43079T).

Reporting of results.

Not the identification scores (t index, probability, likelihood, and confidence values) provided by the software but rather the interpretations provided by the software were taken into account. The four different result categories were: (i) correct identification (unambiguous correct identification to the species level); (ii) low level of discrimination (either identification to the genus level or a low level of discrimination between two or more species, including the correct species); (iii) no identification; and (iv) misidentification (the species identified with the GP identification card was different from that identified by the reference method).

RESULTS

Overall, we did not encounter any major technical problem using the VITEK 2 instrument and the GP identification card during the 3-month evaluation period. Quality control strains were correctly identified to the species level in every instance, demonstrating the reliability and reproducibility of the technique. The hands-on time remained the same for the GP identification card as for the ID-GPC.

Table 1 lists the performance of the GP identification card for the 31 taxa (18 belonging to the family Streptococcaceae and 13 belonging to the family Micrococcaceae) tested. Of the total of 364 strains (217 belonging to the family Streptococcaceae and 147 belonging to the family Micrococcaceae), 344 strains (94.5%) were correctly identified to the species level, 17 strains (4.7%) were identified with low discrimination, 2 strains (0.5%) remained unidentified, and 1 strain (0.3%) was misidentified. Identification results were even better when simple additional tests (see below) were applied to resolve the results for strains with low discrimination. Identification results were slightly better for strains of the family Micrococcaceae (95.9% correctly identified, 3.4% identified with low discrimination, 0.7% misidentified, and 0.0% not identified) than for strains of the family Streptococcaceae (93.6% correctly identified, 5.5% identified with low discrimination, 0.0% misidentified, and 0.9% not identified).

TABLE 1.

Performance of the new VITEK 2 GP identification card by species and by family

Species or family No. of strains that werea:
Tested Correctly identified Identified with low discrimination Misidentified Not identified
Species
    Enterococcus avium 3 3 0 0 0
    Enterococcus casseliflavus 1 1 0 0 0
    Enterococcus durans 5 4 1 0 0
    Enterococcus faecalis 27 27 0 0 0
    Enterococcus faecium 28 27 1 0 0
    Micrococcus luteus 4 4 0 0 0
    Rothia mucilaginosa 3 3 0 0 0
    Staphylococcus aureus 45 45 0 0 0
    Staphylococcus capitis 8 8 0 0 0
    Staphylococcus epidermidis 34 33 1 0 0
    Staphylococcus haemolyticus 29 25 3 1 0
    Staphylococcus hominis 13 13 0 0 0
    Staphylococcus lugdunensis 5 5 0 0 0
    Staphylococcus sciuri 1 1 0 0 0
    Staphylococcus schleiferi 1 1 0 0 0
    Staphylococcus simulans 1 1 0 0 0
    Staphylococcus wameri 1 1 0 0 0
    Staphylococcus xylosus 2 1 1 0 0
    Streptococcus agalactiae 35 32 3 0 0
    Streptococcus anginosus 4 3 1 0 0
    Streptococcus constellatus 1 1 0 0 0
    Streptococcus dysgalactiae subsp. equisimilis 22 14 6 0 2
    Streptococcus equi subsp. zooepidemicus 1 1 0 0 0
    Streptococcus gallolyticus 4 4 0 0 0
    Streptococcus lutetiensis 1 1 0 0 0
    Streptococcus oralis 2 2 0 0 0
    Streptococcus parasanguinis 1 1 0 0 0
    Streptococcus pasteurianus 3 3 0 0 0
    Streptococcus pneumoniae 39 39 0 0 0
    Streptococcus pyogenes 38 38 0 0 0
    Streptococcus salivarius 2 2 0 0 0
    Total 364 344 (94.5) 17 (4.7) 1 (0.3) 2 (0.5)
Families
    Micrococcaceae 147 141 (95.9) 5 (3.4) 1 (0.7) 0 (0.0)
    Streptococcaceae 217 203 (93.6) 12 (5.5) 0 (0.0) 2 (0.9)
a

Values in parentheses are percentages.

The distribution of all taxa tested was not equal but was weighted according to the frequency with which the different species are seen in a routine clinical laboratory. The eight most frequently isolated gram-positive cocci, namely, E. faecalis, Enterococcus faecium, S. aureus, Staphylococcus epidermidis, Staphylococcus haemolyticus, Streptococcus agalactiae, Streptococcus pneumoniae, and Streptococcus pyogenes represented 75.3% of all strains included in the present study. Of these, 96.7% were correctly identified and 2.9% were identified with low discrimination (only one strain [0.4%] was misidentified).

Minor differences in identification results were observed with the different culture media. Of the 175 strains tested on Columbia sheep blood agar from BD, 96.6% were correctly identified, 2.3% were identified with low discrimination, 0.0% were misidentified, and 1.1% were not identified. Of the strains tested on Columbia sheep blood agar from bioMérieux, 88.5% were correctly identified, 10.3% were identified with low discrimination, 1.3% were misidentified, and 0.0% were not identified; of the strains tested on Trypticase soy blood agar, 95.5% were correctly identified, 4.5% were identified with low discrimination, 0.0% were misidentified, and 0.0% were not identified.

Table 2 lists the strains identified with low discrimination as well as the misidentified strains. The differentiation between Enterococcus durans (saccharose positive) and Enterococcus hirae (saccharose negative) is readily achieved. Enterococcus gallinarum is motile, but E. faecium is not. S. epidermidis ferments d-mannose, whereas Staphylococcus hominis is unable to do so. S. haemolyticus is urease negative but expresses pyrrolidonyl arylamidase activity, whereas Staphylococcus warneri is urease positive and pyrrolidonyl arylamidase negative. Staphylococcus xylosus is differentiated from Staphylococcus gallinarum by a negative reaction for d-raffinose fermentation. The β-hemolysis reaction of Streptococcus agalactiae is more discrete than that of Streptococcus dysgalactiae subsp. equisimilis. In addition, S. agalactiae is positive in the Voges-Proskauer reaction, but S. dysgalactiae subsp. equisimilis is not. Streptococcus constellatus does not hydrolyze hippurate and exhibits the typical diacetyl odor, whereas S. agalactiae is hippurate positive and does not produce the typical “Streptococcus milleri” odor. Streptococcus anginosus is Voges-Proskauer positive, but Streptococcus gordonii is not. S. dysgalactiae subsp. equisimilis is beta-hemolytic, whereas S. dysgalactiae subsp. dysgalactiae is not.

TABLE 2.

Strains identified with low discrimination or misidentified

Strain group Reference identification (no. of strains) Identification provided by the new VITEK 2 GP identification card
Strains with low discrimination E. durans (1) E. durans
E. hirae
E. faecium (1) E. gallinarum
E. faecium
S. epidermidis (1) S. epidermidis
S. hominis
S. haemolyticus (3) S. haemolyticus
S. wameri
S. xylosus (1) S. gallinarum
S. xylosus
S. agalactiae (3) S. agalactiae
S. constellatus
S. dysgalactiae subsp. equisimilis
S. anginosus (1) S. anginosus
S. gordonii
S. dysgalactiae subsp. equisimilis (6) S. dysgalactiae subsp. dysgalactiae
S. dysgalactiae subsp. equisimilis
Misidentified strain S. haemolyticus (1) S. wameri

Table 3 gives a detailed report on the exact time required for final identification of the strains tested. Over 90% of all strains were identified within 7 h. No significant difference was observed in the times to final identification of Microccoccaceae and Streptoccoccaceae.

TABLE 3.

Time to final identification by VITEK 2 analysis with the new GP identification card

Species or family No. of strains tested % of identifications completed in under:
2 h 3 h 4 h 5 h 6 h 7 h 8 h
Species
    Enterococcus avium 3 100 100 100
    Enterococcus casseliflavus 1 100 100 100
    Enterococcus durans 5 60 60 100
    Enterococcus faecalis 27 70 100 100 100 100 100
    Enterococcus faecium 28 75 96 96 100
    Micrococcus luteus 4 50 100 100 100
    Rothia mucilaginosa 3 67 100 100 100
    Staphylococcus aureus 45 71 91 96 100 100
    Staphylococcus capitis 8 75 100 100
    Staphylococcus epidermidis 34 32 82 91 100
    Staphylococcus haemolyticus 29 52 76 83 100
    Staphylococcus hominis 13 54 77 92 100
    Staphylococcus lugdunensis 5 40 100 100 100
    Staphylococcus sciuri 1 100 100 100
    Staphylococcus schleiferi 1 100 100 100
    Staphylococcus simulans 1 100 100
    Staphylococcus wameri 1 100 100 100
    Staphylococcus xylosus 2 50 50 100
    Streptococcus agalactiae 35 14 86 89 100
    Streptococcus anginosus 4 25 75 75 100
    Streptococcus constellatus 1 100
    Streptococcus dysgalactiae subsp. equisimilis 22 41 45 91
    Streptococcus equi subsp. zooepidemicus 1 100 100 100
    Streptococcus gallolyticus 4 100 100
    Streptococcus lutetiensis 1 100 100 100
    Streptococcus oralis 2 50 100 100 100
    Streptococcus parasanguinis 1 100 100 100 100
    Streptococcus pasteurianus 3 100 100 100
    Streptococcus pneumoniae 39 3 10 90 95 97 100
    Streptococcus pyogenes 38 37 76 92 95 100
    Streptococcus salivarius 2 50 50 100 100 100 100
    Total 364 0.0 5.8 21.1 55.3 85.2 90.7 99.4
Families
    Micrococcaceae 147 0.0 0.0 21.8 54.4 85.0 93.2 100
    Streptococcaceae 217 0.0 9.7 21.2 56.2 85.3 88.9 99.1

Table 4 lists the identification results when gram-positive cocci from primary plating media were tested. As with the overall study, a weighted distribution of isolates was tested. The results for testing of cocci from primary isolation plates were slightly better (97.1% correctly identified) than the results of the overall study.

TABLE 4.

Performance of the new VITEK 2 GP identification card applied to cocci from primary isolation plates

Species No. of strains that werea:
Tested Correctly identified Identified with low discrimination Mis- identified Not identified
Enterococcus avium 1 1 0 0 0
Enterococcus faecalis 26 26 0 0 0
Enterococcus faecium 3 3 0 0 0
Rothia mucilaginosa 1 1 0 0 0
Staphylococcus aureus 26 26 0 0 0
Staphylococcus epidermidis 7 7 0 0 0
Staphylococcus haemolyticus 2 1 1 0 0
Streptococcus agalactiae 9 9 0 0 0
Streptococcus dysgalactiae subsp. equisimilis 3 1 1 0 1
Streptococcus pneumoniae 11 11 0 0 0
Streptococcus pyogenes 15 15 0 0 0
Streptococcus salivarius 1 1 0 0 0
Total 105 102 (97.1) 2 (1.9) 0 (0.0) 1 (1.0)
a

Values in parentheses are percentages.

DISCUSSION

To the best of our knowledge, this is the first study on the performance of the GP identification card in a routine clinical laboratory. Overall, we were impressed by the performance of the system, since more than 94% of the isolates were correctly identified to the species level without application of any further additional tests. This performance is clearly above the demanded 90% accuracy level that has been discussed by some authorities in the field of commercial clinical microbiology device evaluations. The taxonomy used in the database was up-to-date (e.g., Streptococcus gallolyticus instead of Streptococcus bovis biotype I [12] and Streptococcus pasteurianus instead of S. bovis biotype II.2 [11]), which is not always the case for other commercial identification systems designed for GP cocci. In addition, we are not aware of any other commercial identification system for GP cocci claiming to cover so many different taxa.

Considering the broad distribution and use of the VITEK 2 instrument in routine clinical microbiology laboratories worldwide, surprisingly few evaluations of the ID-GPC have been published (Table 5). The present study is the third largest on VITEK 2 test cards for identification of GP cocci, and it is the largest with regard to the number of individual taxa that have been included. Despite the extended incubation and reading time, as well as the larger database, the results of our present evaluation were comparable to the results of the two other major studies on VITEK 2 test cards for identification of GP cocci (8, 13). It is important to note that the extension of the database did not lead to poorer identification results. The identification of E. faecium (96.4% of the strains correctly identified in the present study in contrast to only 71.4% in a previous study [8]) as well as the identification of S. hominis (100% of the strains correctly identified in the present study in contrast to only 65.6% in a previous study [13]) have been significantly improved. If the kinetic mode is used, the majority of the results obtained with the GP identification card become available about 3 to 4 h later (Table 3) than with the ID-GPC. However, this may be of no consequence for microbiology laboratories not operating on a 24-h schedule. In summary, our data indicate that the GP identification card fulfills the needs of a routine clinical microbiology laboratory serving outpatients as well as hospitalized patients. Regarding the cost effectiveness we cannot at present comment on the GP identification card because the pricing of the GP was not available to us at the time of writing this article.

TABLE 5.

Evaluations of identification cards for gram-positive cocci on the VITEK 2 instrument

Reference Yr of publication Card evaluated No. of strains % of strains that were:
Correctly identified Identified with low discrimination Misidentified Not identified
6 2000 ID-GPC 150 87.3 12.7
8 2002 ID-GPC 384 91.4 4.4 1.6 2.6
7 2002 ID-GPC 99 71.7 20.2 8.1
13 2003 ID-GPC 405 95.6 3.2 0.2 1.0
Present study 2005 GP identification card 364 94.5 4.7 0.3 0.5

Finally, it is recommended that other evaluations may include a larger number of strains from primary isolation plates in order to study whether the VITEK 2 system in conjunction with the GP identification card performs as acceptably as in the present study when a limited number of first-isolation strains is used. A pure stress test evaluation that includes nearly all taxa present in the database, in particular, the recently delineated, infrequently encountered catalase-negative, GP cocci (3, 4) is also recommended, since our evaluation covered only a portion of the taxa in the database, though it of course comprised the most frequently found and clinically relevant GP cocci. As with the ID-GPC, it is encouraged and expected that studies by other authors will evaluate the performance of the GP identification card in different countries and under different laboratory conditions.

Acknowledgments

bioMérieux, La-Balme les Grottes, France, provided the study materials. We thank Sophie Cagnès, Mireille Desmonceaux, Geneviève Bossy, and Daniel Monget for support and helpful critical comments during the evaluation.

REFERENCES

  • 1.Barenfanger, J., C. Drake, and G. Kacich. 1999. Clinical and financial benefits of rapid bacterial identification and antimicrobial susceptibility testing. J. Clin. Microbiol. 37:1415-1418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Doern, G. V., R. Vautour, M. Gaudet, and B. Levy. 1994. Clinical impact of rapid in vitro susceptibility and bacterial identification. J. Clin. Microbiol. 32:1757-1762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Facklam, R. 2002. What happened to the streptococci: overview of taxonomic and nomenclature changes. Clin. Microbiol. Rev. 15:613-630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Facklam, R., and J. A. Elliott. 1995. Identification, classification, and clinical relevance of catalase-negative, gram-positive cocci, excluding the streptococci and enterococci. Clin. Microbiol. Rev. 8:479-495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Funke, G., R. Frodl, and H. Sommer. 2004. First comprehensively documented case of Paracoccus yeei infection in a human. J. Clin. Microbiol. 42:3366-3368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Garcia-Garrote, F., E. Cercenado, and E. Bouza. 2000. Evaluation of a new system, VITEK 2, for identification and antimicrobial susceptibility testing of enterococci. J. Clin. Microbiol. 38:2108-2111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Gavin, P. J., J. R. Warren, A. A. Obias, S. M. Collins, and L. R. Peterson. 2002. Evaluation of the Vitek 2 system for rapid identification of clinical isolates of gram-negative bacilli and members of the family Streptococcaceae. Eur. J. Clin. Microbiol. Infect. Dis. 21:869-874. [DOI] [PubMed] [Google Scholar]
  • 8.Ligozzi, M., C. Bernini, M. G. Bonora, M. de Fatima, J. Zuliani, and R. Fontana. 2002. Evaluation of the VITEK 2 system for identification and antimicrobial susceptibility testing of medically relevant gram-positive cocci. J. Clin. Microbiol. 40:1681-1686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Miller, J. M. 1991. Evaluating biochemical identification systems. J. Clin. Microbiol. 29:1559-1561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Murray, P. R., E. J. Baron, J. H. Jorgensen, M. A. Pfaller, and R. H. Yolken (ed.). 2003. Manual of clinical microbiology, 8th ed. American Society for Microbiology, Washington, D.C.
  • 11.Poyart, C., G. Quesne, and P. Trieu-Cuot. 2002. Taxonomic dissection of the Streptococcus bovis group by analysis of manganese-dependent superoxide dismutase gene (sodA) sequences: reclassification of ‘Streptococcus infantarius subsp. coli’ as Streptococcus lutetiensis sp. nov. and of Streptococcus bovis biotype II. 2 as Streptococcus pasteurianus sp. nov. Int. J. Syst. Evol. Microbiol. 52:1247-1255. [DOI] [PubMed] [Google Scholar]
  • 12.Schlegel, L., F. Grimont, E. Ageron, P. A. D. Grimont, and A. Bouvet. 2003. Reappraisal of the taxonomy of the Streptococcus bovis/Streptococcus equinus complex and related species: description of Streptococcus gallolyticus subsp. gallolyticus subsp. nov., S. gallolyticus subsp. macedonicus subsp. nov. and S. gallolyticus subsp. pasteurianus subsp. nov. Int. J. Syst. Evol. Microbiol. 53:631-645. [DOI] [PubMed] [Google Scholar]
  • 13.Spanu, T., M. Sanguinetti, D. Ciccaglione, T. D'Inzeo, L. Romano, F. Leone, and G. Fadda. 2003. Use of the VITEK 2 system for rapid identification of clinical isolates of staphylococci from bloodstream infections. J. Clin. Microbiol. 41:4259-4263. [DOI] [PMC free article] [PubMed] [Google Scholar]

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