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Journal of Clinical Microbiology, February 2007, p. 616-619, Vol. 45, No. 2
0095-1137/07/$08.00+0 doi:10.1128/JCM.01934-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
Improved Multilocus Sequence Typing Scheme for Staphylococcus epidermidis
Jonathan C. Thomas,1
Miguel R. Vargas,1
Maria Miragaia,2
Sharon J. Peacock,3
Gordon L. Archer,4 and
Mark C. Enright1*
Department of Infectious Disease Epidemiology, St. Mary's Hospital Campus, Imperial College London, London W2 1PG, United Kingdom,1
Molecular Genetics Laboratory, Instituto de Tecnologia Quimica e Biologica da Universidade Nova de Lisboa (ITQB/UNL), Oeiras, Portugal,2
Wellcome Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand,3
Department of Medicinal Chemistry, School of Pharmacy, and Institute for Structural Biology and Drug Discovery, Virginia Commonwealth University, Richmond, Virginia 23298-00494
Received 18 September 2006/
Returned for modification 30 October 2006/
Accepted 27 November 2006

ABSTRACT
We evaluated three multilocus sequence typing (MLST) schemes
for
Staphylococcus epidermidis and selected the seven most discriminatory
loci for the formation of a new, more powerful MLST scheme.
This improved scheme gave 31 sequence types (STs) and 5 clonal
complexes (CCs), whereas the other schemes delineate 16 to 24
STs and 1 to 3 CCs.

TEXT
Two different multilocus sequence typing (MLST) schemes were
published for
Staphylococcus epidermidis in 2003 (
9,
10). Wisplinghoff
et al. (
10) (data previously held on
www.mlst.net) and Wang
et al. (
9) described
S. epidermidis MLST schemes that were largely
based on the scheme for
Staphylococcus aureus (
2). By the use
of different isolate collections, neither scheme was able to
discriminate more than two clonal complexes (CCs). A third unpublished
scheme, developed by S. J. Peacock et al., used two
S. aureus MLST loci,
gmk and
pta, together with five new loci,
dfp,
gtr,
mutS,
pyrR, and
xpt. Three separate MLST protocols for the typing
of
S. epidermidis are clearly unsatisfactory, especially as
none of these methods provides a high level of discrimination.
Here we assess the ability of the 14 different loci used in
these three schemes to discriminate between isolates of
S. epidermidis.
Bacterial strains and media.
A collection of 66 geographically diverse S. epidermidis isolates was analyzed in this study (10). Of these, 46 isolates were recovered from the blood of patients with prosthetic valve endocarditis (PVE), and 20 isolates were from bloodstream infections (BSIs) that were not linked to PVE. Isolates were grown overnight at 37°C on tryptic soy agar (Oxoid, Basingstoke, United Kingdom) and were stored at 80°C in 15% (vol/vol) glycerol and tryptic soy broth (Oxoid).
Multilocus sequence typing.
All isolates were analyzed by three MLST protocols, as previously described by Wisplinghoff et al. (10), Wang et al. (9), and Peacock et al. (the primer sequences are provided in Table 1). Allele 1 of yqiL described in the scheme devised by Wang et al. (9) was lengthened to coincide with the fragment size of the remaining alleles at that locus. Additional sequences were acquired as necessary from the published genome of S. epidermidis RP62A (3). Chromosomal DNA was isolated with DNeasy kits (QIAGEN). PCR was performed with 29-µl reaction volumes, comprising 1 µl of each primer (10 pmol) and 25 µl of ReddyMix master mix (ABgene, Epsom, United Kingdom). The amplicons were further purified and sequenced. The sequences of both strands of all PCR products were resolved with an ABI 3700 automated sequencer (PE Applied Biosystems) with BigDye (version 3) fluorescent terminators and the primers used in the initial PCR amplification.
The alleles at each locus were distinguished by using Sequence
Output software (available from
http://www.mlst.net). Allelic
profiles consisting of the allele numbers at each of the seven
loci were assigned to sequence types (STs) for each of three
MLST schemes, as described previously (
7).
Use of eBURST algorithm.
Lineages were analyzed separately for each MLST scheme by using the eBURST algorithm (5), available at http://eBURST.mlst.net. Clonal complexes were defined by using the default setting, in which all STs within a clonal complex differ by no more than one allele from at least one other ST in the clonal complex, as recommended by Spratt and colleagues (5).
Simpson's D.
Simpson's index of diversity (D) values for each MLST scheme were calculated as described by Hunter and Gaston (6). The 95% confidence intervals were calculated as described by Grundmann et al. (4).
MLST scheme comparison.
Comparison of Simpson's index of diversity values for all three MLST schemes revealed that the format proposed by Peacock et al. proved to be the most discriminatory, with D equal to 0.922 (compared to D values of 0.889 and 0.871 for the schemes of Wang et al. [9] and Wisplinghoff et al. [10], respectively), although this was not significant (P < 0.05) (Table 2). The three schemes resolved between 15 STs (scheme of Wisplinghof et al. [10]) and 25 STs (scheme of Wang et al. [9]); the scheme of Peacock et al. resolved 23 STs. The MLST schemes of both Peacock et al. and Wang et al. (9) split the isolates into three separate clonal complexes, while the scheme of Wisplinghoff et al. (10) generated a single large clonal complex (Fig. 1).
A single improved MLST scheme.
An MLST scheme that consisted of the seven most discriminatory
alleles from the three schemes was developed (Table
2). PCR
involved an initial denaturation of 95°C for 3 min; 34 cycles
of 95°C for 30 s, 50°C for 1 min, and 72°C for 1
min; and a final extension of 72°C for 10 min. The modified
MLST scheme was more discriminatory than the scheme of Wisplinghoff
et al. (
10) (
P < 0.05), with
D equal to 0.956, but was not
significantly more discriminatory than either the MLST scheme
of Peacock et al. or that of Wang et al. (
9). However, it did
resolve the isolate collection into 31 STs and 5 distinct clonal
complexes (Fig.
1) and more singletons than the other schemes.
Clinical disease.
All STs with the exception of ST2 and ST7 contained isolates from patients with either BSIs or PVE; ST2 and ST7 contained examples of isolates from both types of patients. STs 5, 11, 15, 16, 18, 19, 20, 21, 22, 23, and 24 contained only isolates from patients with BSIs; and the remaining 18 STs contained only isolates from patients with PVE.
The STs resolved by the improved MLST scheme correlated in all but two cases with the isolates that caused either a bloodstream infection or prosthetic valve endocarditis, while three of the five clonal complexes were associated with only prosthetic valve endocarditis. In comparison, two of the three CCs generated by the scheme of Peacock et al. (CC9 and CC10) included strains associated with both PVE and BSIs, while the main clonal complex generated by the scheme of Wang et al. (9) also possessed strains isolated from both types of patients. One of the clonal complexes from the new MLST scheme (CC2) that included isolates from both types of patients also included one of the two STs associated with both BSIs and PVE as its ancestral strain (ST2), which has two single-locus variants (SLVs). Of these two SLVs, one, ST28, was from a patient with PVE, while the other, ST22, was from a patient with a bloodstream infection. It is our hypothesis that this clonal complex represents the branching of two distinct lineages, one linked with PVE and one linked with BSIs.
While none of the MLST schemes presented here is as discriminatory as those developed for other species, including S. aureus (D = 0.996) (2), Streptococcus pneumoniae (D = 0.998) (1), Neisseria meningitidis (D = 0.995) (7), and Haemophilus influenzae (D = 0.996) (8), we believe that the improved MLST scheme detailed here provides the best discrimination of the MLST formats currently available for the typing of S. epidermidis strains.
Nucleotide sequence accession numbers.
The novel gene sequences reported in this study have been deposited in GenBank (accession numbers DQ991011 to DQ991028).

ACKNOWLEDGMENTS
This work was supported by the Wellcome Trust. M.C.E. is a Royal
Society University Research Fellow. S.J.P. is a Wellcome Trust
Career Develop Fellow in Clinical Tropical Medicine.
We thank Paul Wilkinson for technical assistance.

FOOTNOTES
* Corresponding author. Mailing address: Department of Infectious Disease Epidemiology, St. Mary's Hospital Campus, Imperial College London, London W2 1PG, United Kingdom. Phone: 44 1225 386871. Fax: 44 1225 386779. E-mail:
m.c.enright{at}imperial.ac.uk.

Published ahead of print on 6 December 2006. 

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Journal of Clinical Microbiology, February 2007, p. 616-619, Vol. 45, No. 2
0095-1137/07/$08.00+0 doi:10.1128/JCM.01934-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
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