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Journal of Clinical Microbiology, February 2003, p. 552-557, Vol. 41, No. 2
0095-1137/03/$08.00+0 DOI: 10.1128/JCM.41.2.552-557.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Highly Polymorphic Microsatellite for Identification of Candida albicans Strains
Paula Sampaio,1 Leonor Gusmão,2 Cíntia Alves,2 Cidália Pina-Vaz,3 António Amorim,2,4 and Célia Pais1*
Centro de Ciências do Ambiente, Departamento de Biologia, Universidade do Minho, 4710-057 Braga,1
Instituto de Patologia e Imunologia Molecular,2
Departamento de Microbiologia, Faculdade de Medicina,3
Universidade do Porto, 4200 Porto, and Faculdade de Ciências Universidade do Porto, 4050 Porto, Portugal4
Received 11 April 2002/
Returned for modification 6 August 2002/
Accepted 21 October 2002

ABSTRACT
The polymorphism of a new microsatellite locus (CAI) was investigated
in a total of 114
Candida albicans strains, including 73 independent
clinical isolates, multiple isolates from the same patient,
isolates from several episodes of recurrent vulvovaginal infections,
and two reference strains. PCR genotyping was performed automatically,
using a fluorescence-labeled primer, and in the 73 independent
isolates, 26 alleles and 44 different genotypes were identified,
resulting in a discriminatory power of 0.97. CAI was revealed
to be species specific and showed a low mutation rate, since
no amplification product was obtained when testing other pathogenic
Candida species and no genotype differences were observed when
testing over 300 generations. When applying this microsatellite
to the identification of strains isolated from recurrent vulvovaginal
infections in eight patients, it was found that 13 out of 15
episodes were due to the same strain. When multiple isolates,
obtained from the same patient and plated simultaneously, were
typed for CAI, the same genotype was found in each case, confirming
that the infecting population was clonal. Moreover, the same
genotype appeared in isolates from the rectum and the vagina,
revealing that the former could be a reservoir of potentially
pathogenic strains. This new microsatellite proves to be a valuable
tool to differentiate
C. albicans strains. Furthermore, when
compared to other molecular genotyping techniques, CAI proved
to be very simple, highly efficient, and reproducible, being
suitable for low-quantity and very-degraded samples and for
application in large-scale epidemiological studies.

INTRODUCTION
It is known that opportunistic yeast pathogens are common residents
of the mucosal surfaces of the gastrointestinal tract, genitourinary
system, and oral cavity in warm-blooded animals. Although several
yeast species can be associated with infection, the predominant
causal agent of candidiasis is
Candida albicans. This yeast
causes several infections in humans, including a wide variety
of life-threatening conditions triggered by bloodstream infections,
especially in immunocompromised patients. Since pathogenicity
and antifungal susceptibility often vary among strains, a rapid
and accurate identification of the disease-causing strains of
C. albicans is crucial for clinical treatment and epidemiological
studies.
Advances in molecular biology in the last 2 decades have allowed the development of rapid molecular genotyping techniques for clinical and epidemiological analysis. Several molecular typing methods have been developed to differentiate C. albicans strains, including electrophoretic karyotyping (2), the use of species-specific probes such as Ca3 or 27A in restriction enzyme analysis (20, 23, 27, 29, 32, 33, 35), and PCR-based methods (1, 10, 21, 24, 28, 37). More recently, short tandem repeats (STRs) or microsatellites have assumed increasing importance as molecular markers in fields so diverse as oncogenetics, population genetics, and strain identification and characterization. They occur in several thousands of copies dispersed throughout the genome and display high polymorphism, Mendelian codominant inheritance, and PCR typing simplicity. Only a few polymorphic microsatellite loci have been identified so far in the C. albicans genome, most of them located near or inside coding regions and exhibiting a discriminatory power between 0.77 and 0.91 (3, 4, 7, 19, 25). However, it is known that the degree of polymorphism is much higher in microsatellite loci from noncoding regions, and to date, few studies have been developed for the analysis of loci from those regions in C. albicans (18, 19).
The aim of this work was to identify and describe a new highly informative microsatellite locus (CAI), outside a known coding region, in the genome of the pathogenic yeast C. albicans and evaluate its applicability to accurately differentiate strains. Another goal of this study was to use this microsatellite marker to assess the genetic relatedness of C. albicans isolates obtained from sequential episodes of recurrent vaginal candidosis and from multiple simultaneous isolations from the same patients.

MATERIALS AND METHODS
Microsatellite selection and design of PCR primers.
A search in
C. albicans genome sequences, available in databases
from Stanford's DNA Sequencing and Technology Center (
http://www.sequence.stanford.edu/group/candida),
was conducted for sequences containing microsatellite repeats.
The aim of this search was to select repetitive sequences that
were expected to have a very high degree of polymorphism, based
on two criteria: the number of simple repeat units (more than
20) and the location, outside a coding region. Ten microsatellites
were selected and primers were designed, in the nonvariable
flanking regions, for locus-specific amplification. Based on
the results of preliminary studies on amplification efficiency,
species specificity, and observed polymorphism, a sequence containing
32 CAA repeats, 396062C04.s1.seq, was selected for further characterization
and for application in strain identification purposes.
Yeast strains.
A total of 112 clinical isolates of C. albicans, obtained from two hospitals and a health center located in Braga and Porto (north Portugal), the reference strain WO-1, and the type strain PYCC 3436 (ATCC 18804), were selected for this study. All isolates were previously identified by their assimilation patterns on ID 32C strips (Biomerieux, SA, Marcy-L'Étoile, France) and by PCR fingerprinting with primer T3B using the methodology described by Thanos et al. (37). The type strains of C. parapsilosis PYCC 2545 (ATCC 22019), C. krusei PYCC 3343 (ATCC 6258), C. tropicalis PYCC 3097 (ATCC 750), C. glabrata PYCC 2418 (ATCC 2001), C. guilliermondii PYCC 2730 (ATCC 6260), C. lusitaniae PYCC 2705 (ATCC 34449), and C. dubliniensis CBS 7987 (ATCC MYA-646) were also tested. All reference strains were obtained from the Portuguese Yeast Culture Collection, New University of Lisbon, Lisbon, Portugal, except the isolates of C. dubliniensis, which were from the Centraalbureau voor Schimmelcultures, Baarn, The Netherlands. Stock cultures were maintained on Sabouraud glucose agar medium at 4°C.
DNA isolation and PCR amplification.
Prior to DNA isolation, cells were grown overnight on Sabouraud medium at 30°C. DNA extraction followed procedures previously described (15). PCRs were performed in a 25-µl reaction volume containing 1x PCR buffer (20 mM Tris HCl [pH 8.4], 50 mM KCl), a 0.2 mM concentration of each of four deoxynucleoside triphosphates (Promega), a 0.25 µM concentration of each primer (forward, 5'-ATG CCA TTG AGT GGA ATT GG-3'; reverse, 5'-AGT GGC TTG TGT TGG GTT TT-3'), 25 ng of genomic DNA, and 1 U of Taq DNA polymerase (Gibco). For automatic allele size determination, the forward primer was 5' fluorescently labeled with 6-carboxyfluorescein.
Amplification was carried out in a DNA thermocycler (model 2400; AB Applied Biosystems) with a program consisting of an initial denaturing step at 95°C for 5 min; 30 cycles of 30 s at 94°C, 30 s at 60°C, and 1 min at 72°C; and a final extension step of 7 min at 72°C.
Fragment size determination.
For allele size determination, the PCR products were run in an ABI 310 genetic analyzer (AB Applied Biosystems). Fragment sizes were determined automatically using the GeneScan 3.1 Analysis software. Alleles have been designated according to the number of trinucleotide repeats (Table 1).
DNA sequence analysis.
After PCR amplification, DNA fragments were separated by electrophoresis
in 6% polyacrylamide gels under denaturing conditions (6.5 M
urea) using the buffer systems described by Gusmão et
al. (
12) and visualized by the silver staining method (
5). Allele
bands were cut individually from the gel, eluted in 250 µl
of Tris-EDTA buffer, frozen and thawed three times, reamplified,
and purified with Microspin S-300 HR columns (Pharmacia). The
purified products were subjected to a dideoxy cycle sequencing
reaction using the BigDye Terminator cycle sequencing ready
reaction kit (AB Applied Biosystems). Sequence analysis was
performed on an ABI 377 genetic analyzer using the Data Collection
Software 377-18.
Stability.
To test the stability of the marker, three different clinical isolates and the type strain were grown in 1-liter Erlenmeyer flasks containing 500 ml of Sabouraud medium and incubated at 30°C in an orbital shaker (160 rpm). At the end of the exponential phase, a 1/10 dilution with new medium was made in order to allow continuing of cell duplication. This procedure went on for 4 weeks until completion of around 300 generations. Cells were harvested at the end of approximately 100, 200, and 300 generations, and DNA was extracted for amplification.
Reproducibility.
Reproducibility of the method was assessed by testing three strains 10 times in three separate experiments.
Statistical analysis.
Genotype frequencies were estimated by genotype counting. Statistical analysis for Hardy-Weinberg equilibrium was performed using an exact test (11), running the statistical software package GENEPOP. The discriminatory power of the marker was calculated according to the method of Hunter and Gaston (14).

RESULTS
With the aim of identifying highly informative microsatellite
polymorphisms for molecular discrimination of
C. albicans, a
search for short repetitive sequences was conducted as described
in Materials ands Methods. It is well established that a higher
degree of polymorphism is expected for microsatellites outside
coding regions (
26) as well as for long tracts of simple repeats
(
34). For these reasons, our search was based upon the number
of uninterrupted repeats outside known coding regions. Dinucleotide
repeats were not considered, since they are described as being
more prone to stutter bands due to DNA polymerase slippage during
amplification (
9).
For the 10 sequences selected with more than 20 uninterrupted tri- to pentanucleotide repeat units, specific primers were designed, for annealing in the nonvariable flanking regions, and used for preliminary studies on amplification efficiency and specificity and for evaluation of the informative content of polymorphism. Only a sequence containing 32 CAA units showed the required characteristics and was selected for further studies and to address the question of applicability in the differentiation of related strains. This new microsatellite locus was designated CAI.
Sequence analysis.
Sequencing analysis of 37 amplified fragments revealed that the consensus structure was in accordance with that originally published (396062C04.s1.seq), confirming locus-specific amplification and structure of the alleles. The variation in length of the CAI alleles was always due to differences in the number of trinucleotide repeat units, and therefore, the alleles were designated by the total number of trinucleotide repeats. For instance, allele 21 was given this designation when it was shown to be of a size consistent with that number of repetitions independently of the structure variation. The sequence analysis revealed three different levels of polymorphism in CAI, (i) the number of repeats, (ii) the structure of the repeated region, and (iii) point mutations outside the repeated region (data not shown). In the context of this work, the genotyping was done based only on the first level of polymorphism, but the second and third levels of variation may contribute to further differentiation of C. albicans strains.
CAI locus analysis.
One hundred and twelve clinical isolates of C. albicans and two reference strains were genotyped for CAI (examples shown in Fig. 1A). For an easier and more accurate size determination, genotype analysis was performed automatically using a fluorescent labeled primer (Fig. 1B). In order to check for method reproducibility, for each of four selected samples, the PCR was performed at least 10 different times (including different DNA extractions), always displaying the same result.
The PCR products obtained consisted of fragments with different
lengths, varying between 189 bp (11 repeats) and 303 bp (49
repeats). Since
C. albicans is thought to be diploid, each fragment
was assigned to an allele and the strains showing two PCR products
were typed as heterozygous (72.6%), while when a single amplification
product was detected they were considered to be homozygous.
Using the results obtained for the sample of 73 nonrelated strains, isolated from nonrelated patients, a significant departure from Hardy-Weinberg equilibrium expectations was found (P < 0.001). This finding supports the previous conclusions (10, 17) that the inheritance in C. albicans is mainly clonal. For this reason, the CAI diversity content and discriminatory power can only be evaluated using genotype frequencies rather than allele frequencies. In the 73 nonrelated strains, a total of 26 different alleles and 44 distinct genotypes were observed. The genotype frequencies vary between 0.014 and 0.082. The most frequent genotype (21-25) was present in only 6 out of the 73 nonrelated strains (Table 1). The number of CAI genotypes is much higher than the ones described so far for other loci (3, 4, 6, 7, 13, 18, 19, 25, 34), resulting in a discriminatory power of 0.97.
Stability and specificity.
In vitro stability of the CAI marker was tested by growing four independent strains over 300 generations. For all the strains tested the genotypes were the same after these generations, suggesting that CAI has an expected mutation rate less than 3.33 x 10-3.
The CAI microsatellite also appeared to be species specific, since no amplification products were obtained when using the described primers in the amplification of other pathogenic Candida species, namely, C. glabrata, C. krusei, C. parapsilosis, C. tropicalis, C. guilliermondii, C. lusitaniae, and C. dubliniensis (data not shown). It is noteworthy to mention that the CAI microsatellite was absent in C. dubliniensis, which is very closely related to C. albicans and only very recently was recognized as a different species (36).
Similar results were found in previously described STRs, by testing other Candida species: C. krusei, (7), C. tropicalis and C. glabrata (4), and C. dubliniensis (25).
The use of CAI for strain distinction.
CAI genotyping results obtained in eight cases of multiple isolates from the same patient and plated at the same time are shown in Table 2. As can be observed, in each case, all the strains isolated showed exactly the same genotype, suggesting that only one strain is present in the infecting population.
To verify whether the infecting population is the same at different
body locations, multiple isolates were taken from the patients
displaying multiple local infections. The results showed that
two strains from patient I, isolated from the upper respiratory
tract, were identical, although different from the urine isolate.
The same occurred for patient J, where distinct genotypes were
observed for the two strains isolated, one from the vagina and
the other from urine. These results show clearly that in different
body sites, patients can harbor distinct clones but the infecting
population at each body site is monoclonal.
The analysis of 15 cases of recurrent vulvovaginal infections in eight patients revealed that the infecting C. albicans strains isolated sequentially at different relapses displayed the same CAI genotype, except in two cases (Table 3). The second and third isolates from patients L and N presented a different genotype from isolates from the first episode, indicating possible cases of strain replacement. However, further analysis with three additional STRs, including the one described by Bretagne et al., EF3 (4), confirmed that all three L isolates had the same genotype (data not shown). Thus, most probably, they do not represent different strains and just differ by a mutation at CAI locus. The microvariation observed inside one of the alleles, from 30 to 32 repetitions, shows a different scenario of recurrent vaginitis with maintenance of a strain which is undergoing microevolution that might have been induced by antifungal treatment. For patient N, a true case of strain replacement really occurred, which was confirmed with further analysis using the same additional STRs (results not shown). These observations are in accordance with the literature (16), where three basic scenarios are described for the genetic relatedness of strains isolated from patients with recurrent vaginitis: (i) maintenance of the same strain, (ii) maintenance of a strain which is undergoing microevolution, and (iii) strain replacement.
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TABLE 3. CAI genotypes of sequential isolates from vulvovaginal recurrent infections and anorectal or vulvovaginal body locationsa
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In five patients with recurrent vulvovaginal candidosis, anorectal
and vulvovaginal isolates were simultaneously obtained and typed
with CAI (results in Table
3). In all cases, the strains shared
the same genotype, confirming that the anorectal region might
represent a reservoir of
C. albicans infecting strains, in accordance
with previous observations (
16,
31,
33).

DISCUSSION
Many investigations were undertaken in order to search for molecular
variation in the genome of
C. albicans for a large set of applications,
such as identification, phylogenetic analysis, resistance development,
and gene association studies (
4,
17,
25). As referred to in
the introduction, nowadays there are different DNA-based methodologies
available for these purposes. It has been demonstrated that
STR-PCR-based methods have several advantages over the other
methodologies used in strain identification, since microsatellites
are known to be highly polymorphic, the PCR is a less time-consuming
technique, and results can be easily reproduced and compared
between laboratories (
4,
6).
Numerous microsatellites have been reported in various organisms (8, 13, 34, 38), but until now, only a few polymorphic microsatellite loci were described in C. albicans, most of them located near (EF3 [4], CDC3, and HIS3 [3]) or inside (ERK1, 2NF1, CCN2, CPH2, and EFG1 [25]) coding regions. The discriminatory power calculated for these STRs was between 0.77 (for CDC3) and 0.91 (for HIS3), and the most discriminant microsatellite approach was obtained when combining three STRs in a single multiplex amplification reaction, yielding a discriminatory power of 0.97 (3), the same obtained for CAI in the present work. Thus, CAI appears to be more polymorphic than other STRs described for C. albicans. This result confirms the criteria we defined in choosing this microsatellite are robust enough for epidemiological studies. A probable explanation lies in the fact that CAI is, as far as it is now known, probably located in a noncoding region, making it less prone to selective forces (26), and presents a long noninterrupted repetitive tract, as evidenced by its accumulated diversity.
This high degree of polymorphism exhibited by CAI could be correlated with a high mutation rate, which would limit its use in strain identification. However, our results demonstrate that CAI is relatively stable not only in laboratory culture but also in vivo, since in the cases of recurrent infections studied we found the same CAI genotype, with a single exception, suggesting that this marker could be used for epidemiological tracing.
Development of multiplex systems, coamplifying several STRs, in order to test rapidly and reproducibly a great number of isolates, is of great importance in biomedical mycology. CAI and EF3 STRs clearly stand out as candidates to be included in such a multiplex system since they are very well characterized and the same typing methodology is used. Special care must be paid to typing standardization, since the use of different primers or separation techniques has been shown to produce different results from the same locus, preventing their comparison in parallel. Standardization of allele nomenclature, based on the repeat number rather than fragment size, is also essential for the construction of public databases in light of what is already in current use in human genetics (22, 30).
It is clear that the analysis of multiple STR loci may enable high-speed typing in the near future. The number of currently available markers allows a selection of the best markers, based on typing performance, mutation rates, and discriminative power, to be included in multiplex tests. Furthermore, they can be used to complement other molecular studies such as random amplified polymorphic DNA analysis and DNA fingerprinting to distinguish evolutionarily related strains and define microevolutionary events (4, 25).

ACKNOWLEDGMENTS
This research was supported by Fundação para a
Ciência e Tecnologia (FCT) through a multiyear contract
with Centro de Ciências do Ambiente (CCA), Universidade
do Minho.
We are indebted to Adelaide Alves (Hospital de S. Marcos, Braga) for providing clinical isolates for this study and to Judite Almeida and Alexandra Correia for isolating the strains from Centro de Saúde do Carandá.

FOOTNOTES
* Corresponding author. Mailing address: Centro de Ciências do Ambiente, Departamento de Biologia, Universidade do Minho, 4710-057 Braga, Portugal. Phone: 351 253 604312. Fax: 351 253 678980. E-mail:
cpais{at}bio.uminho.pt.


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Journal of Clinical Microbiology, February 2003, p. 552-557, Vol. 41, No. 2
0095-1137/03/$08.00+0 DOI: 10.1128/JCM.41.2.552-557.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
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