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Journal of Clinical Microbiology, September 2008, p. 3087-3090, Vol. 46, No. 9
0095-1137/08/$08.00+0 doi:10.1128/JCM.00920-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

ARUP Laboratories, Salt Lake City, Utah,1 Duke University Medical Center,2 Veterans Administration Medical Center, Durham, North Carolina,3 Hospital Clinic Institut d'Investigacions Biomediques August Pi i Sunyer-University of Barcelona, Barcelona, Spain,4 Quintiles Transnational -,5 University Medical Center of Besançon, Besançon France,6 Hospital General Universitario Gregorio Maranon, Madrid, Spain,7 Second University of Naples, Naples, Italy,8 Attikon University General Hospital, Athens, Greece,9 CHU Nancy-Brabois, Nancy, France,10 Veterans Administration Medical Center, Ann Arbor, Michigan,11 University Hospital for Infectious Diseases, Zagreb, Croatia,12 South Eastern Sydney and Illawarra Area Health Service, Wollongong, Australia,13 Flinders Medical Centre, Adelaide, Australia,14 The University of New South Wales, Sydney, Australia,15 Southern Health, Clayton, Australia,16 Medical University of South Carolina, Charleston, South Carolina,17 Auckland City Hospital, Auckland, New Zealand,18 Middlemore Hospital, Auckland, New Zealand,19 University of Otago, Christchurch, New Zealand,20 Departments of Pathology and Medicine, University of Utah School of Medicine, Salt Lake City, Utah,21
Received 13 May 2008/ Returned for modification 23 June 2008/ Accepted 14 July 2008
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Since taxonomy of VGS is still evolving, our specific aim was to better understand the phylogenetic and phenotypic relationships among VGS by studying a large collection of isolates from a medically important, well-defined clinical syndrome. Endocarditis is an important infectious disease that is commonly caused by VGS. The International Collaboration on Endocarditis Microbiology, a large, multicenter, multinational consortium, provided a unique opportunity to perform DNA target sequencing with 16S rRNA, tuf (encoding elongation factor Tu), and rpoB (beta subunit of RNA polymerase) genes to evaluate the degree of phylogenetic concordance for VGS isolates and to assess our ability to definitively assign a species designation for patients with endocarditis.
VGS isolates from patients with definite endocarditis were submitted by ICE investigators representing a collection from 18 medical centers in 12 countries. All patients were defined as having definite infective endocarditis using the modified Duke criteria (8). Conventional identification and susceptibility testing were performed at a central laboratory using a commercially available panel processed on a Microscan Walkaway instrument (PC-21; Dade Behring, Deerfield, IL) with a standard laboratory protocol. Template DNA preparation and amplification were performed directly on frozen stocks as previously described (12). Amplification of the 16S rRNA, tuf, and rpoB genes was achieved with the following primer pairs: 16S rRNA 5F (5'-TTGGAGAGTTTGATCCTGGCTC-3') and 534R (5'-TACCGCGGCTGCTGGCAC-3'); tuf Str1 (5'-GTACAGTTGCTTCAGGACGTATC-3') and Str2 (5' ACGTTCGATTTCATCACGTTG-3') (9); and rpoB 31F (5'-GCCTTAGGACCTGGTGGTTT-3') and 830R (5'-GTTGTAACCTTCCAWGTCAT-3') (3). PCR products were bidirectionally sequenced with original amplification primers, and sequences were compared to related sequences in the SmartGene IDNS-Bacteria software program [SmartGene Inc., Raleigh, NC] using a standard laboratory protocol (12). Nucleotide alignments and phylogenetic trees were constructed with the neighbor-joining method using Kimura's two-parameter distance correction model and 1,000 bootstrap replications in the MEGA version 3.1 software package (7).
Ninety-four VGS isolates from 94 patients with definite endocarditis were examined. Characterization of these isolates by three genetic targets is summarized in Fig. 1. For purposes of comparison with conventional methods, final identification for DNA target sequencing was arbitrarily defined as phylogenetic concordance with two of three DNA targets. Using this definition, DNA target sequencing identified the S. mitis group (n = 29) as the most common VGS, followed by the S. bovis group (n = 22), the S. sanguinis group (n = 15), S. gordonii (n = 14), 6 isolates each of the S. mutans and S. salivarius groups, and 1 isolate each of the S. anginosus group and S. sinensis. Conventional methods identified 17 isolates to the Streptococcus genus level only, 14 as VGS, 6 as belonging to the S. anginosus group, 24 as belonging to the S. mitis group, 16 as S. bovis, 2 as S. mutans, 1 as S. salivarius, and 14 as S. sanguinis. Identification by conventional methods disagreed with gene sequencing results for 25 (27%) of 94 isolates. Neighbor-joining dendrograms for all gene targets did not always demonstrate phylogenetic concordance (Fig. 1). Although intraspecies and interspecies variability differed with each gene target, phylogenetic concordance was uniformly observed with all 3 gene targets for isolates identified as S. gordonii (n = 14), S. mutans (n = 6), S. parasanguinis (n = 2), S. salivarius (n = 6), or S. sanguinis (n = 13). Within the S. mitis group, five S. pneumoniae isolates (no. 6, 7, 41, 85, and 91) demonstrated concordance among all three targets but two isolates (no. 36 and 81) had no distinguishing genotypic or phenotypic characteristics to enable definitive identification as pneumococcus. For the S. bovis group, 19 isolates were identified as S. gallolyticus subsp. gallolyticus, of which 15 isolates demonstrated concordance among all 3 targets. Isolates 3, 24, and 65 clustered with S. gallolyticus subsp. gallolyticus for 16S rRNA and rpoB genes, but with the tuf gene they diverged on a unique branch. Isolate no. 40, identified as S. infantarius by the rpoB gene, had a unique divergent branch with each gene target. S. constellatus (no. 80) had concordance with all three gene targets. S. cristatus (no. 92) and S. sinensis (no. 28) were discordant among three gene targets.
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FIG. 1. Neighbor-joining dendrograms of the 16S rRNA (A), tuf (B), or rpoB (C) gene for viridans group streptococci from patients with endocarditis. Each entry represents a unique sequence among study isolates. Key: S. bovis group (isolates 37 and 90; S. gallolyticus subsp. gallolyticus isolates 03, 04, 11, 13, 23, 24, 25, 26, 29, 31, 32, 34, 35, 45, 52, 55, 65, 69, and 82; and S. infantarius isolate 40); S. constellatus (isolate 80); S. gordonii (isolates 01, 02, 05, 09, 10, 33, 46, 48, 49, 66, 71, 73, 74, and 95); S. mutans group (isolates 17, 22, 54, 62, 72, and 84); S. mitis group (isolates 08, 12, 14, 18, 20, 21, 27, 36, 38, 44, 53, 56, 58, 60, 61, 68, 75, 77, 79, 81, 89, 90, and 94; S. pneumoniae isolates 06, 07, 41, 85, and 91; S. cristatus, isolate 92); S. salivarius group (isolates 39, 43, 47, 59, and 70; S. thermophilus isolate 44); S. sanguinis group (isolates 15, 16, 19, 42, 57, 63, 64, 67, 76, 78, 83, 86, and 93; S. parasanguinis isolates 51 and 88); and S. sinensis isolate 28.
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Microbiologists and clinicians need a common lexicon to convey information about microorganisms that is biologically meaningful (10, 11). Population-based genomic and proteomic approaches most likely are necessary to facilitate taxonomical classifications that encompass the microbial diversity of VGS from diverse environments and their unique features (i.e., virulence factors). Phenotypic and genotypic repositories are invaluable for the community of microbial systematics. Until we better define VGS and more fully understand the added value of new species designations, clinical microbiologists should classify VGS with ambiguous phenotypic and genotypic profiles in their respective taxonomical clusters regardless of the method of identification.
Published ahead of print on 23 July 2008. ![]()
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