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Journal of Clinical Microbiology, April 2003, p. 1357-1362, Vol. 41, No. 4
0095-1137/03/$08.00+0 DOI: 10.1128/JCM.41.4.1357-1362.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Use of Amplified Fragment Length Polymorphism Analysis To Identify Medically Important Candida spp., Including C. dubliniensis
A. Borst,1* B. Theelen,2 E. Reinders,3 T. Boekhout,2 A. C. Fluit,1 and P. H. M. Savelkoul3
Eijkman-Winkler Center for Microbiology, Infectious Diseases and Inflammation, University Medical Center,1
Centraalbureau voor Schimmelcultures, Utrecht,2
Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, The Netherlands3
Received 22 July 2002/
Returned for modification 2 September 2002/
Accepted 22 December 2002

ABSTRACT
Non-
Candida albicans Candida species are increasingly being
isolated. These species show differences in levels of resistance
to antimycotic agents and mortality. Therefore, it is important
to be able to correctly identify the causative organism to the
species level. Identification of
C.
dubliniensis in particular
remains problematic due to the high degree of phenotypic similarity
between this species and
C. albicans. The use of amplified fragment
length polymorphism (AFLP) analysis as an identification method
for medically important
Candida species was investigated. Our
results show very clear differences among medically important
Candida species. Furthermore, when screening a large collection
of clinical isolates previously identified on CHROMagar as
C.
albicans, we found a misidentification rate of 6%. AFLP analysis
is universally applicable, and the patterns can easily be stored
in a general, accessible database. Therefore, AFLP might prove
to be a reliable method for the identification of medically
important
Candida species.

INTRODUCTION
In the past decade, the number of life-threatening forms of
candidiasis increased dramatically (
1). The attributable mortality
of these infections is as high as 38% (
34), whereas crude mortality
rates exceed 50% (
10,
27,
33). For a long time,
Candida albicans was the main cause of invasive fungal infections. However, the
number of infections by this species is declining whereas non-
albicans Candida species like
C.
glabrata,
C.
krusei, and
C.
parapsilosis are increasingly being isolated. At present, non-
albicans Candida species account for approximately 50% of all
Candida infections
(
14).
In cases of candidiasis, it is important to be able to correctly identify the causative organism to the species level. Different species show differences in levels of resistance to antimycotic agents. C. krusei is innately resistant to fluconazole, and C. glabrata is able to acquire resistance to this drug rapidly. Furthermore, C. glabrata infections have been associated with a high mortality (11). A particular problem is formed by the recently recognized species C. dubliniensis. Like C. glabrata, this species is capable of acquiring stable fluconazole resistance rapidly (22, 23). Identification of C. dubliniensis remains difficult, due to the high degree of phenotypic similarity between this species and C. albicans. However, it is known that genotypically there is more variation between the two species (30). Therefore, molecular identification methods may be more reliable than identification methods based on phenotypic characteristics.
Amplified fragment length polymorphism (AFLP) analysis is a relatively new technique which has a discriminatory power that makes it suitable for identification as well as for strain typing (29, 32). In short, in AFLP analysis genomic DNA is digested with two restriction enzymes (e.g., EcoRI and MseI) and double-stranded oligonucleotide adapters are ligated to the fragments. These adapters serve as targets for the primers during PCR amplification. To increase the specificity, it is possible to elongate the primers at their 3' ends with one to three selective nucleotides. One of the primers is labeled with a fluorescent dye. The fragments are separated and analyzed using software packages like BioNumerics (Applied Maths, Sint-Martens-Latem, Belgium). The advantage of AFLP analysis is that only a limited amount of DNA is needed since the fragments are PCR amplified. Furthermore, since stringent annealing temperatures are used during amplification, the technique is more reproducible and robust than other methods such as randomly amplified polymorphic DNA analysis (13, 29). This paper describes the use of AFLP as an identification method for medically important Candida species, including C. dubliniensis.

MATERIALS AND METHODS
Yeast strains.
The yeast strains and isolates used are listed in Table
1. Reference
strains were obtained from the Centraalbureau voor Schimmelcultures
(CBS), Utrecht, The Netherlands, and the American Type Culture
Collection, Manassas, Va. Clinical isolates were obtained from
the European SENTRY collection (Eijkman-Winkler Center, Utrecht,
The Netherlands) (
26) and from the hematology ward of the VU
University Medical Center (VUMC), Amsterdam, The Netherlands.
Upon receipt of the SENTRY isolates in the central laboratory
(Eijkman-Winkler Center), CHROMagar (CHROMagar, Paris, France)
was used to distinguish between
C.
albicans and non-
C.
albicans species. Non-
C.
albicans species were further identified by
using the API
Candida system (bioMérieux, Marcy-l'Etoile,
France). In addition, Vitek YBC cards (bioMérieux) were
used when the results obtained by the API
Candida system were
inconclusive or differed from the identification made by the
center where the
Candida species was isolated. The isolates
from the VUMC were identified using the germ-tube test. The
isolates that were negative in this assay were further identified
by using Vitek YBC (bioMérieux).
Extraction of DNA.
DNA was extracted from approximately 10
7 CFU using a DNeasy
tissue kit (Qiagen, West Sussex, England) according to the manufacturer's
instructions (protocol for isolation of genomic DNA from yeasts).
DNA was eluted in 100 µl of elution buffer (buffer AE
of the kit) and stored at -20°C.
AFLP. (i) Restriction and ligation of adapters.
The sequences of the adapters and primers used for AFLP analysis are given in Table 2. DNA was extracted from approximately 107 CFU of C. albicans as described above. Five microliters of the DNA samples was added to 5 microliters of restriction-ligation reaction mixture (1x T4 DNA ligase buffer, 0.05 M NaCl, 0.5 µg of bovine serum albumin, 2 pmol of the EcoRI adapter, 20 pmol of the MseI adapter, 80 U of T4 DNA ligase, 1 U of EcoRI, 1 U of MseI) and incubated overnight at 37°C. All enzymes were obtained from New England Biolabs (Beverly, Mass.). The mixture was diluted 1:5 with 0.1x TE (5 mM Tris-HCl [pH 7.5], 1 mM EDTA).
(ii) Preselective and selective PCRs.
Preselective PCR was performed using the core sequences, i.e.,
primers without extensions. The AFLP primers, core mix, and
internal size standard were supplied by Applied Biosystems (Nieuwerkerk
aan den IJssel, The Netherlands). Four microliters of diluted
restriction-ligation product was added to 15 µl of AFLP
amplification core mix, 0.5 µl of the
EcoRI core sequence,
and 0.5 µl of the
MseI core sequence. The mixture was
amplified in a GeneAmp PCR System 9700 machine under the following
conditions: 2 min at 72°C, followed by 20 cycles of 20 s
at 94°C, 30 s at 56°C, and 2 min at 72°C. The PCR
product was diluted by adding 25 µl of sterile double-distilled
water. In a second PCR more-selective primers were used:
EcoRI-AC
(labeled with 6-carboxyfluorescein) and
MseI-C. The conditions
were 2 min at 94°C, followed by 10 cycles consisting of
20 s at 94°C and 30 s at 66°C (with this temperature
decreasing 1°C with each succeeding cycle), and a final
extension of 2 min at 72°C. This sequence was followed by
25 cycles consisting of 20 s at 94°C, 30 s at 56°C,
and 2 min at 72°C and a final incubation of 30 min at 60°C.
(iii) Capillary electrophoresis and data analysis.
The samples were prepared for capillary electrophoresis by adding 2 µl of the selective PCR product to 24 µl of deionized formamide and 1 µl of GeneScan-500 (6-carboxy-X-rhodamine [ROX] labeled) as an internal size standard. They were run on an ABI 310 genetic analyzer for 30 min each. Data were analyzed with the BioNumerics software package, version 2.5 (Applied Maths) by using the Pearson correlation as a similarity coefficient in combination with unweighted pair group method with arithmatic mean cluster analysis. The statistical reliability of the clusters was investigated by using the cophenetic values, which calculate the correlation between the calculated similarities and the dendrogram-derived similarities.

RESULTS AND DISCUSSION
A dendrogram representing all reference strains and clinical
isolates is depicted in Fig.
1. The AFLP patterns of the reference
strains clearly show that each species forms a distinct cluster.
The cophenetic values were 78 for
C.
albicans, 92 for
C.
dubliniensis,
99 for
C.
glabrata, 84 for
C.
krusei, 98 for
C.
pseudotropicalis,
85 for
C.
tropicalis, 91 for
C.
parapsilosis, 98 for
C.
lusitaniae,
and 94 for
C.
guilliermondii. These results were highly reproducible.
The
C.
albicans isolates show two main clusters. One cluster
contains clinical isolates from the VUMC and the SENTRY collection
as well as reference strains from the CBS. The other cluster
contains only isolates from the SENTRY collection. There is
no clear relation between these clusters and the geographical
origins or sources of the isolates. North American
C.
albicans isolates show a three-part division by several typing methods,
such as randomly amplified polymorphic DNA analysis, multilocus
enzyme electrophoresis, and Southern blot hybridization with
the moderately repetitive
C.
albicans-specific Ca3 probe. In
South Africa, an additional cluster besides these three clusters
has been found (
4,
18,
28). It will be interesting to investigate
whether the two AFLP clusters of
C.
albicans correspond with
the North American or South African clusters.
The C. dubliniensis isolates also show two clusters whose isolates have remarkably high similarities (91 and 98%). One cluster contains all reference strains used and one SENTRY clinical isolate; the other cluster is composed of SENTRY isolates only. Using the C. dubliniensis-specific fingerprinting probe Cd25 on a panel of 98 isolates, Gee et al. also recognized two different clusters, one of which contained mainly isolates derived from human immunodeficiency virus (HIV)-infected individuals, while the other cluster contained mainly isolates derived from HIV-negative individuals (9). Strains CBS 7987 and CBS 7988, both part of the same AFLP cluster, were isolated from an HIV-infected individual. However, data on the HIV status of the patients from which the other isolates (CBS 8500, CBS 8501, and SENTRY isolates) were obtained are lacking. Further investigations are necessary to examine whether the AFLP clusters correspond with the Cd25 clusters.
Another noteworthy finding is that all of the AFLP patterns for the C. glabrata isolates are very similar (90% similarity) except for that of the CBS reference strain (58% similarity). This reference strain (CBS 138) was isolated from human feces and was first described in 1917. The fact that all of the other isolates studied were clinical isolates which were isolated fairly recently may account for this difference.
The AFLP patterns of the 18 isolates from the VUMC all corresponded with the results of the phenotypic identification (obtained by using the germ-tube test and Vitek YBC cards). The clinical isolates from the European SENTRY collection were all originally identified on CHROMagar as being C. albicans. However, based on the AFLP patterns shown in Fig. 1, some of these strains were presumably misidentified and belong to different species. When the total collection of isolates previously identified as C. albicans (n = 213) was screened by AFLP analysis, a misidentification rate of 6% was observed. Six strains are now identified as C. dubliniensis, four are identified as C. parapsilosis, one is identified as C. tropicalis, and one is identified as C. guilliermondii (results are partly shown in Fig. 1).
CHROMagar identification of Candida species is based on differences in colony color. It has been shown that the reliability of this method depends on the incubation time and temperature used (2, 24, 35). However, even when optimum conditions are used, the method is not ideal and the differentiation between C. albicans and C. dubliniensis is especially problematic. Kurzai et al. reported that only 81% of their C. dubliniensis isolates showed the dark-green color on CHROMagar, which is considered indicative of C. dubliniensis (17). Furthermore, 15.9% of their C. albicans isolates also showed a dark-green coloration instead of the usual lighter green. Tintelnot et al. (31) reported an even lower number, 57%, of C. dubliniensis isolates that showed the dark-green coloration on CHROMagar, and only 48% of the isolates of Kirkpatrick et al. (15) showing the dark-green coloration turned out to be C. dubliniensis.
Other commercial tests that allow (presumptive) identification of C. albicans as well as non-albicans Candida species usually show high sensitivities and specificities for C. albicans but are less reliable or need further testing for the identification of other, less common species (3, 5, 8, 12). C. dubliniensis-specific PCR assays as well as generic PCR assays in combination with species-specific probes have been developed (6, 7, 16, 19, 25). The advantage of AFLP analysis, however, is that this method is based on the ligation of known sequences (adapters) to restriction fragments, which function as targets for the PCR primers. Therefore, the technique is universally applicable. In the present assay we made use of two subsequent amplifications, but similar results were obtained when only the second amplification was used (unpublished observations). The use of an internal size standard with every sample for normalization purposes greatly enhances the reproducibility between tests. Storing all patterns, including those of the reference strains, in a general, accessible database will provide a screening library for the identification of Candida species.
Two other universally applicable methods for the identification of Candida species have been described: PCR fingerprinting and reference strand-mediated conformational analysis (20, 21). However, whereas PCR fingerprinting uses mini- and microsatellite sequences as targets for the primers and reference strand-mediated conformational analysis is based on 18S rRNA sequences, AFLP patterns are a representation of the whole genome. Our results show very clear differences among medically important Candida species. Therefore, AFLP analysis might prove to be a reliable method for the identification of medically important Candida species, including C. dubliniensis.

ACKNOWLEDGMENTS
Annemarie Borst was supported by a grant from bioMérieux.

FOOTNOTES
* Corresponding author. Present address: Division of Bacterial and Mycotic Diseases, Centers for Disease Control and Prevention, Mailstop G-11, 1600 Clifton Rd., Atlanta, GA 30333. Phone: (404) 639-3547. Fax: (404) 639-3546. E-mail:
aoz0{at}cdc.gov.


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Journal of Clinical Microbiology, April 2003, p. 1357-1362, Vol. 41, No. 4
0095-1137/03/$08.00+0 DOI: 10.1128/JCM.41.4.1357-1362.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
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