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. 2018 Sep 29;19:718. doi: 10.1186/s12864-018-5065-3

Design and validation of a multiplex PCR protocol for microsatellite typing of Candida parapsilosis sensu stricto isolates

Camino Trobajo-Sanmartín 1,#, Guillermo Ezpeleta 2,3,#, Célia Pais 4, Elena Eraso 1, Guillermo Quindós 1,
PMCID: PMC6162959  PMID: 30268088

Abstract

Background

Analysis of polymorphic microsatellite markers (STR) is a helpful genotyping technique to differentiate Candida parapsilosis sensu stricto isolates. The aim of this study is to develop and perform an initial validation of an alternative protocol for the reliable and accurate microsatellite genotyping of C. parapsilosis sensu stricto isolates using high-throughput multiplex PCR. To achieve this, the results obtained using the new protocol were compared to the ones obtained using a previously described reference method. To that end, diagnostic accuracy, informativeness and discrimination parameters were estimated.

Results

Our results showed good concordance between both methods (Kappa index: 0.920), leading to a high sensitivity (1; CI(95%) (0.991–1)) and specificity (1; CI(95%) (0.772–1)) after the validation of the new protocol. Moreover, the electropherograms profiles obtained with the new PCR scheme showed a high signal to noise ratio (SNR).

Conclusions

The new multiplex protocol is valuable for the differentiation of C. parapsilosis sensu stricto, with direct clinical applications. Besides, the new protocol represents a shortening the hands-on time, reducing the sample manipulation (dismissing the possibility of cross-contamination), maintaining the quality of the results (when compared to the ones obtained with the reference method), and helping to the standardization and simplification of the genotyping scheme.

Keywords: Candida parapsilosis sensu stricto, Genotyping technique, Microsatellites repeats, Multiplex PCR, Specificity, Reproducibility of results

Background

In 2005, Tavanti et al. proposed that the fungus Candida parapsilosis could be considered as a genetically related species complex which includes C. parapsilosis sensu stricto, Candida metapsilosis and Candida orthopsilosis [1], being C. parapsilosis sensu stricto the most commonly isolated. However, C. parapsilosis sensu stricto is not a homogeneous species, and therefore, accurate and reliable typing methods are necessary for a better knowledge of this species [13]. These typing methods have been used for identifying the sources of infection, the chain of transmission and for determining the dissemination of specific strains in the medical environment [4].

Last decades technological innovations allowed the extensive use of microsatellites or Single Sequence Repeats (SSR) in plant and eukaryote genetics studies, using different genotyping approaches ranging from low to high throughput ones, not only in genetic research but also with interesting applications in clinical practice. In fact, microsatellite typing has been described to study genetic relatedness among colonizing and infective strains from diverse geographical locations or even the relatedness of C. parapsilosis isolated from different clinical sources, such as blood or catheters, and from medical or surgical wards [2, 4, 5]. Currently, the microsatellite typing method described by Sabino et al. [5] is one of the reference techniques to show genetic relatedness among different clinical isolates of C. parapsilosis sensu stricto.

This issue aroused an explosion of alternative protocols to standard procedures giving a large number of genotyping schemes but with no extensive validation by comparing them to the existing ones [68]. This work aimed to develop and perform an initial validation of an alternative protocol for the reliable and accurate microsatellite genotyping of Candida parapsilosis sensu stricto isolates using high-throughput multiplex PCR.

Methods

Microorganisms

Thirty-three C. parapsilosis sensu stricto blood isolates retrospectively collected during 2010 to 2015 using a convenience sample of 33 patients suffering from invasive candidemia during their hospital stay at La Fe University Hospital (Valencia, Spain). In addition to those clinical isolates, C. parapsilosis sensu stricto ATCC 22019, and ATCC MYA-4646 (CDC317) obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA) were used as positive controls. Moreover, C. orthopsilosis ATCC 96139, C. metapsilosis ATCC 96143, Candida albicans ATCC 90028, Candida africana ATCC MYA-2669, Candida dubliniensis NCPF 3949, Candida glabrata ATCC 90030, Candida bracarensis NCYC 3133, Candida nivariensis CBS 9984, Candida tropicalis NCPF 311, Candida krusei ATCC 6258, Candida guilliermondii NCPF 3099 and Lodderomyces elongiosporus ISA1308 (NCPF, National Collection of Pathogenic Fungi, UK; NCYC, National Collection of Yeast Cultures, UK; CBS, Centraalbureau voor Schimmelcultures, Netherland and ISA, Instituto Superior de Agronomía, Portugal) were included as subrogate negative controls to assess the specificity of the multiplex PCR protocol. Besides, PCR grade water (Roche Diagnostics, Germany) was used as negative control for all PCR tests performed.

Culture, isolation and identification

All isolates were plated onto Sabouraud dextrose agar (Difco, USA) and incubated at 37 °C for 24 h. Presumptive identification was performed considering colony morphology and color on ChromID Candida (bioMérieux, France) and Candida chromogenic agar (CONDA, Spain) agars and subsequently confirmed using the API 32C (bioMérieux) auxanogram according to manufacturers. DNA was extracted using the UltraClean® Microbial DNA Isolation Kit (MoBio, USA) following the recommendations of the manufacturers. Definitive identification was reached either by amplification of a short portion of the SADH gene using a conventional RFLP-PCR protocol, as previously described [1, 9] or by ITS sequencing when the obtained RFLP-PCR profile from the former technique was inconclusive.

Optimization of multiplex PCR scheme conditions

This step was only performed using the control strains and each prepared multiplex reaction was tested under different primer concentrations (ranging from 0.2 to 0.5 μM) to ensure the best PCR performance. After this step, another multiplex reaction was tested at different final DNA concentrations (ranging from 10 to 30 ng) to establish the best amount of yeast genomic DNA needed. Finally, the addition of bovine serum albumin (purified BSA, 100X) (New England Biolabs, USA) to the PCR mastermix to enhance the reaction efficacy was evaluated.

Assay for establishing differences in the polymerase activity

Based on previous reports of polymerase inefficiency of prominent slippage phenomena under certain conditions [10, 11], we performed a short experiment to evaluate the performance of three different specially designed for multiplex PCR amplification commercial polymerases and their respective mastermixes. To that end, each reference strain was tested in parallel under same amplification conditions using the mentioned mastermixes and its correspondent DNA polymerase. The PCR mastermixes included in the assay were TaKaRa Ex TaqTM Hot Start Version (Takara Bio Inc., Japan), KAPA2G Fast Multiplex PCR kit (Kapa Biosystems, UK) and AmpliTaq Gold® DNA Polymerase (Applied Biosystems Inc., USA).

Modified multiplex microsatellite PCR amplification

All C. parapsilosis sensu stricto were genotyped using CP1, CP4, CP6 and B5 microsatellite markers previously described by Sabino et al. [5]. Because of the rather low annealing temperatures of the designed primers, a multiplex touchdown PCR protocol was chosen to prevent (or minimize) the appearance of unspecific (or non-desirable) PCR products. The amplification reaction had a final volume of 25 μl containing 15 ng of yeast genomic DNA, 1X PCR buffer, 1X BSA (100X), 1.25 U of DNA polymerase, 1.5 mM MgCl2, 0.4 μM of each primer, and 0.2 mM deoxynucleoside triphosphates (dNTPs) and the amplification touchdown PCR protocol was performed in a C 1000TM Thermal Cycler (Bio-Rad, USA).

Briefly, PCR protocol had two differentiated phases. In the first step, annealing temperature of 60 °C gradually decreased 0.35 °C per cycle until it reached 55 °C. The second phase was the same as the latter except for three minor modifications, which were a slight increase in the number of cycles (from 14 to 19), a fixed annealing temperature of 55 °C (see Fig. 1 for more details).

Fig. 1.

Fig. 1

Summary of the touchdown PCR protocol

Fragment size determination

Once the PCR protocol was optimized, 33 C. parapsilosis sensu stricto blood isolates were genotyped using the multiplex scheme proposed in this work and the singleplex PCR protocol described by Sabino et al. [5]. For each PCR product size determination, each tested allele forward primer was labeled with a different fluorochrome: 5′ 6-Fluorescein (56-FAM) for CP1, 5′ MAX (NHS Ester) (5MAXN) for CP4, 5′ 5-TAMRA™ (Azide) (55-TAMK) for CP6, and finally 5′ Rhodamine Red™-X (NHS Ester) (5RhoR-XN) for B5 (IDT, Belgium). One microliter of each obtained amplification product was mixed with 8.6 μl of Hi-Di formamide and 0.4 μl of the internal size standard (GenScan™ 500 LIZ® Size Standard; Applied Biosystems). This mixture was heated for 5 min at 95 °C and immediately cooled to 4 °C to ensure DNA detachment. After denaturalization, the samples were run on an ABI PRISM® 3130xl Genetic Analyzer (Applied Biosystems) and the final size of the obtained PCR products was determined using the PeakScanner software (version 1.0). The same software was used for the estimation of the number of repeats in each processed allele by direct comparison of the relative size of the clinical isolate to the defined for C. parapsilosis sensu stricto reference strains.

Genotype definition and data analysis

The microsatellite genotypes were defined on the unique combination of alleles obtained for the four loci analyzed and considering that the size differences observed at one or more loci defined different genotypes.

The identification of similarities between genotypes was achieved by the constructions of a minimum spanning tree using R statistical software (v.3.1.0). Besides, to represent the relationship between all the C. parapsilosis sensu stricto genotypes obtained, a phylogenetic tree was performed using the POPTREE software. Basically, the phylogenetic tree was inferred from the allele frequency data obtained from the studied samples, was performed using the neighbor-joining method or the unweighted pair-group method with arithmetic mean (UPGMA). Additionally, a bootstrap test was implemented for evaluating the robustness of the results [12].

Besides, we also calculated other parameters of each microsatellite marker considered in this study which are linked to the microsatellite informativeness content and their discrimination power such as the polymorphic information content (PIC), the Simpson index, the heterozygosity and the entropy [13, 14].

Finally, an estimation of sensibility, specificity, and the Kappa index was performed to estimate not only the diagnostic characteristics of each microsatellite detection protocol but also the agreement among the results obtained after the microsatellite amplification using each compared PCR protocol. All the statistical procedures were performed using the Stata(R) and R statistical software (v. 12 and 3.1.0 respectively). The associations between categorical variables were studied using a chi-squared test or Fisher’s exact test when necessary.

Ethical issues

This study does not involve human participants, human data or human tissue. The authors solely used C. parapsilosis sensu stricto strains from different repositories or collections to fulfill the objectives of the study. Although some of the strains used for validation came from a clinical origin, no processing of primary samples was made during the experimental work and therefore, the need for ethics approval and consent to participate was unnecessary according to the Spanish Biomedical Research Law and other European Union regulations. However, a formal approval was asked to the Ethical and Research Committee of the University of the Basque Country to ensure that all the issue research was in accordance with the legal and ethical requests prior to its beginning (Ethics Committee of the Universidad del País Vasco/Euskal Herriko Unibertsitatea UPV/EHU, Bilbao, Spain, reference number CEIAB M30_2015_248).

Results

Redesign and optimization of original PCR protocol

Despite the several approaches implemented along with the literature to establish a successful microsatellite based genotyping scheme, we focused on the optimization and restructuring of the original PCR protocol proposed by Sabino and coworkers [5] converting it from a singleplex approach to a multiplex one, avoiding the redesign of the initial primer pairs.

Table 1 summarizes the main the characteristics, advantages and disadvantages of different successful C. parapsilosis sensu stricto microsatellite genotyping protocols published along the literature compared to the one proposed in our study. The optimization and redesign strategy mentioned earlier implied the evaluation and subsequent election of the two cornerstones of the PCR reaction: the polymerase and primer concentration.

Table 1.

Main characteristics, pros and cons between four C. parapsilosis sensu stricto microsatellite genotyping protocols published in the literature compared and the one described in this work (N = 5)

Characteristic Sabino et al. [5] Diab-Elschahawi et al. [6] Reiss et al. [7] Vaz et al. [8] Trobajo-Sanmartín et al. (This study)
PCR scheme used Singleplexb Multiplex Multiplex Multiplex Multiplex
Redesign of the original primers NA Yes Yes Yes No
Number of primers pairs used for each PCR reaction 1 3 1 4 4
Total number of PCR reactions needed for a complete STR analysis 3 2 5 1 1
Number of dyes used in each genotyping reaction 3 3 1 3 4
Evaluation of the sensitivity and specificitya NA No No No Yes
Evaluation of the microsatellite informativeness parameters Yes Unknownc Unknownc Unknownb Yes
Total time elapsed to obtained results (in minutes) 138 79 197 138 79
Approximate costd estimated of the primer pairs used in each protocol (in euros) 5,60 15,72 7,00 9,26 12,76
Approximate total costd estimated for the complete STR analysis of one sample (in euros) 15,58 22,53 20,77 14,00 17,45

NA Not applicable

aTaking the original protocol published by Sabino and coworkers as the gold standard

bOne of the four reactions could be multiplexed using three different dyes

cProbably the authors did the evaluation of the microsatellite informativeness parameters, but there is no clear reference to that subject in their manuscript

dPrices are referred to Spain. We included the DNA extraction, AmpliTaq Gold® PCR kit with magnesium chloride and PCR buffer, PCR plate (96-well) and primer prices to estimate the total cost per sample analyzed using each protocol

Table 2 summarizes the results obtained during the modified protocol optimization including the sensitivity, specificity and positive predictive value for each polymerase enzyme tested in this study. Our results pointed out that the use of different sort of polymerases could affect to the PCR result. In our experience, the AmpliTaq® Gold polymerase was the only one of those tested that showed values for both sensitivity and specificity equal to 100%.

Table 2.

Sensitivity, specificity and predictive values of the multiplex protocol using different polymerases (N = 47)

Polymerase FP FN TP TN Sensitivity (CI 95%) Specificity (CI 95%) PPV (CI 95%) NPV (CI 95%)
TaKaRa® Ex Taq Hot Start Version 12 0 35 0 100% 0% 74.47% NA
(90.1%. 100%) (0.0%. 26.5%) (59.7%. 86.1%) (NA)
KAPA 2G Fast Multiplex PCR kit 12 0 35 0 100% 0% 74.47% NA
(90.1%. 100%) (0.0%. 26.5%) (59.7%. 86.1%) (NA)
AmpliTaq® Gold DNA Polymerase 0 0 35 12 100% 100% 100% 100%
(90.1%. 100%) (73.5%. 100%) (90.1%. 100%) (73.5%. 100%)

FP False positive results, FN False negative results, TP True positive results, TN True negative results, PPV Positive predictive value, NPV Negative predictive value, CI 95 95% confidence interval, NA Not available

Furthermore, we found that there were false positive results (non-specific bands) when we used the KAPA2G and Takara mastermixes. Besides, based on our findings, among all the concentrations tested, we found that the 0.4 μM final concentration of each allele primer pair lead to the best PCR results. Using this primer concentration, all PCR products obtained by the multiplex protocol showed the same intensity.

Samples genotyping results

Table 3 reflects the microsatellite genotyping results for the four loci considered under the two conditions tested in our work. The obtained microsatellite typing results using the protocol described by Sabino et al. [5] compared to the ones using the multiplex PCR protocol proposed in our work, both were identical. This issue lead a high sensitivity (1; CI(95%) (0.991–1)) and specificity (1; CI(95%) (0.772–1)) values during the validation step of the new protocol. Furthermore, both techniques showed no amplification in any of the negative control strains (even close-related species such as L. elongiosporus) included in this study. Besides, the ATCC 22019 positive control strain gave the same profile described in the literature after microsatellite fragment analysis (Table 3) [2, 15].

Table 3.

Microsatellite fragment analysis after different PCR schemes (N = 35)

Strain Microsatellite (bp) Sabino’s protocol Microsatellite (bp) This study
CP1 CP4 CP6 B5 CP1 CP4 CP6 B5
MYA-4646 243/243 308/327 292/295 154/154 242/242 307/327 291/294 154/154
ATCC 22019 244/250 306/306 292/292 132/132 242/247 307/307 293/293 136/136
429 239/242 312/358 250/250 139/139 239/242 310/358 250/250 139/139
431 236/242 309/309 265/282 133/138 236/242 307/307 264/281 133/139
476 222/242 308/370 265/265 133/133 236/242 307/307 264/264 139/139
477 239/242 327/327 264/264 135/135 239/242 326/326 264/264 134/134
480 222/242 364/370 268/271 120/135 222/242 362/370 267/270 120/134
482 242/271 352/370 291/294 133/137 242/270 351/370 290/293 132/136
486 222/242 373/373 306/306 135/135 222/242 372/372 305/305 134/134
489 239/239 308/308 259/259 154/154 239/239 307/307 258/258 152/152
491 242/271 370/370 269/291 132/132 242/271 369/369 290/290 132/132
499 242/242 361/364 267/270 120/135 242/242 360/363 267/270 119/134
504 237/243 309/309 265/283 133/139 236/242 307/307 264/282 132/138
509 239/242 394/397 270/302 133/145 239/242 390/390 270/302 132/144
512 216/222 373/373 305/308 135/135 216/222 372/372 305/308 134/134
514 222/242 372/372 309/309 135/135 222/242 372/372 308/308 134/134
517 217/223 373/373 306/309 135/135 216/222 372/372 305/308 134/134
521 222/242 370/370 271/320 135/135 222/242 369/369 270/319 134/134
522 222/242 370/370 320/320 135/135 222/242 370/370 320/320 134/134
534 239/242 379/379 288/294 135/135 239/242 379/379 288/294 125/134
536 222/242 370/385 273/320 135/135 222/242 369/384 273/320 134/134
542 239/242 324/343 253/253 163/163 239/242 323/343 253/253 163/163
543 239/239 355/355 273/273 111/111 239/239 354/354 273/273 110/110
547 239/242 379/379 250/317 135/135 239/242 379/379 250/250 134/134
565 239/242 352/352 273/308 111/111 239/242 351/351 273/308 110/110
568 222/242 373/373 305/308 135/135 222/242 372/372 305/308 134/134
569 222/242 370/370 318/321 135/135 222/242 369/369 317/320 134/134
588 222/242 370/370 320/320 135/135 222/242 369/369 320/320 135/135
591 222/242 370/370 276/320 135/135 222/242 369/369 276/319 135/135
592 239/242 400/420 270/302 133/145 239/242 400/420 270/302 133/145
593 219/259 308/308 267/288 153/155 219/259 307/307 267/287 153/156
595 222/242 370/370 270/320 135/135 222/242 369/369 270/320 135/135
596 242/242 361/364 267/270 120/135 242/242 360/363 267/270 120/135
599 236/242 308/308 264/264 139/139 236/242 307/307 264/264 139/139
600 242/242 361/364 267/270 120/135 242/242 360/363 267/270 120/135

Despite these excellent results, the electropherograms obtained frequently showed low-intensity non-specific bands, which were considered as stutter bands due to the polymerase slippage during the PCR (Fig. 2). However, the small amplitude of these artifacts did not interfere with the correct identification of the fragment size and subsequently had no impact on the new protocol specificity.

Fig. 2.

Fig. 2

Example of the electropherograms obtained after genotyping the one of the clinical isolates Candida parapsilosis sensu stricto (clinical isolate 593) using the original simplex protocol described by Sabino and coworkers (a, c, e, and g) and the multiplex one used in this study (b, d, f, and h)

Besides, the similar signal-to-noise ratio of the resulting electropherograms was recorded when compared the new proposed touchdown PCR scheme to the original protocol described by Sabino et al. in 2010 or other slight modifications to that one [2, 4, 8, 16].

To obtain a graphical view of the results mentioned above, we performed a dendrogram based on the microsatellite genotypes identified from the clinical isolates C. parapsilosis sensu stricto analyzed using both protocols. This dendrogram is represented in Fig. 3.

Fig. 3.

Fig. 3

An unweighted pair group method dendrogram based on the microsatellite genotypes identified from the clinical isolates Candida parapsilosis sensu stricto (N = 33) analyzed in this study

Estimation of the information contained in the regions examined

The obtained estimates of the informativeness parameters investigated are summarized in Table 4. Regarding the observed allele heterozygosis of the analyzed C. parapsilosis sensu stricto strains, our results revealed several differences among the analyzed loci. The heterozygosis percentages ranged from 84.85% for locus CP1 to 27.27% for locus CP4. However, the heterozygosis rates observed for locus CP6 and locus B5 were 60.61% and 33.33%, respectively. The discrimination power of each considered allele was concordant with those previously published by Sabino et al. [5]. The Simpson index oscillated from 0.702 for CP1 to 0.925 for CP6 marker, which means that the CP1 marker achieved the lowest discrimination power.

Table 4.

Discrimination and information parameters for each microsatellite markers. The Simpson index and the observed heterozygosis obtained in the original procedure by Sabino et al. [5] are also included

Parameters CP1 CP4 CP6 B5 Multiplex Study
Polymorphic information content (PIC) 0.692 0.870 0.942 0.802 0.957 This study (2016)
Simpson Index 0.724 0.879 0.944 0.816 0.959
Observed heterozygosis 0.723 0.273 0.606 0.333 0.958
Unbiased estimation of heterozygosis 0.724 0.880 0.945 0.816 0.960
Entropy (in bits) 2.450 3.647 4.430 3.179 4.688
Simpson Index 0.850 0.890 0.960 0.860 0.990 Sabino et al. (2010) [5]
Observed heterozygosis 0.733 0.214 0.523 0.300

Concordance analysis

Table 5 summarizes the concordance between the improved multiplex protocol and the reference genotyping technique using the direct concordance and the Kappa indices, being both greater than 80%. According to the literature, these results suggest that there is a high concordance level among both genotyping schemes [17].

Table 5.

Direct concordance and Kappa indices of the multiplex PCR touchdown protocol

Multiplex PCR approach genotyping technique (this study) Original genotyping technique [5]
Clade A1 Clade A2 Clade B1 Clade B2 Clade C1 Clade C2 Total
Clade A1 3 0 0 0 0 0 3
Clade A2 1 5 0 0 0 0 6
Clade B1 0 0 8 0 0 0 8
Clade B2 0 0 0 0 0 1 1
Clade C1 0 0 0 0 12 0 12
Clade C2 0 0 0 0 0 3 3
Total 4 5 8 0 12 4 33
Agreement Expected agreement Kappa index Std. Error of Kappa index Z p-value
0.939 0.240 0.920 0.0917 10.04 <  0.001

Discussion

Several methods, such as isoenzyme analysis, random amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP) and multilocus sequence typing (MLST), have been described for Candida isolates typing [1, 18, 19]. However, the discriminatory power of some of these typing methods for differentiating C. parapsilosis isolates is rather small and many isolates are indistinguishable [3]. In recent days, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF-MS) and the analysis of polymorphic microsatellite regions have been described as useful and high discriminatory power techniques for further differentiation of C. parapsilosis sensu stricto isolates [3, 20]. However, it seems that MALDI-TOF MS-based typing does not fully correlate with other DNA-based genotyping methods leading to different dendrogram profiles when using protein-based or DNA-based techniques and moderate concordance values between those techniques [21]. Therefore, though MALDI TOF-MS is a reliable technique for identifying isolates at species-level, perhaps more studies are needed to assess its role in fungal genotyping [21, 22].

Until recently, microsatellite genotyping is a rather time-consuming technique, because every microsatellite marker must be processed alone. Up to our knowledge, no multiplex PCR protocol following the original scheme proposed by Sabino et al. [5] has been described to that end along with the literature. Recently, Diab-Elschahawi et al. [6] published a PCR protocol using a multiplex approach for CP1, CP4 and CP6 markers redesigning the primers proposed in the original work by Sabino et al. [5, 6]. The disparities between the annealing temperatures of the original primers designed by Sabino and coworkers [5] difficult the amplification of all the loci at the same time, and therefore, other approaches such as primer redesign are necessary. Despite the success of these redesigned primer protocols, we focused a different solution based on optimization and redesign of the PCR protocol (from a singleplex approach to a multiplex one) avoiding the redesign of the initial primer pairs. This solution gave comparable results to the original approach published by Sabino et al. [5] during the validation step with high sensitivity and specificity.

Based on our results, there are several crucial points to consider before getting satisfactory results, being the appropriate polymerase election the most important one when a multiplex PCR protocol is used. Although all the PCR mastermixes tested in our work were explicitly fabricated to operate under their best conditions using multiplex PCR protocol, KAPA2G and Takara mastermixes, showed lack of specificity, conditioning their future use in multiplex PCR based C. parapsilosis sensu stricto genotyping protocols. The most reliable explanation of the observed results is that the three mastermixes tested had different polymerases in their composition, being the AmpliTaq Gold® the most suitable one to carry out C. parapsilosis sensu stricto microsatellite genotyping using this multiplex PCR scheme.

A total of 35 samples were genotyped to validate the utility of our method in contrast to the one described by Sabino and coworkers. Though our results were concordant with those published previously, we could see slight differences in the estimation of the Simpson index and the observed heterozygosis among Sabino’s original data and ours, probably explained because of the differences in the total sample number of strains analyzed in each work.

Finally, the high-quality profiles of the electropherograms obtained using the new multiplex protocol are due to the adoption of a touchdown PCR strategy which improves the profile analysis and prevents misclassification. In a recent review, such schemes are described as a suitable option to increase the specificity of the obtained PCR products without losing sensitivity [23].

There are some limitations in our study such as the small number of strains analyzed in this study and the fact that all of them were isolated from the same clinical source (blood). This issue has probably an impact on the precision of the confidence intervals and the generalization of our informativeness parameters estimates. However, the consistency of our results with those published in the literature suggesting that the possibility of bias is rare.

Despite these limitations, our validation results support that the new protocol seems to be as accurate and reliable as the original one. However, it represents a significant decrease in the turnaround time necessary to get accurate genotyping results compared to other approaches published along with the literature. The main disadvantage the new protocol is that it is slightly more expensive than the original technique in case we use primers labeled with different fluorophores. This limitation could be overcome by using the same fluorophore for those primers targeting loci that have very different sizes (such as CP6 and B5), decreasing the total cost of the technique and increasing its cost-effectiveness if the researchers decide to adopt the latter option.

Conclusions

In conclusion, this new protocol is a valuable tool for the differentiation of C. parapsilosis sensu stricto isolates, with direct applications to clinical practice and infection control procedures (for example, nosocomial outbreaks). Besides, our protocol helps the standardization and simplification of the existing microsatellite typing systems, improving the quality of data, the sample hands-on time and lab turnaround time to get accurate genotyping results for further clinical or infection control epidemiological studies.

Acknowledgments

The authors thank Dr. Javier Pemán and Dra. Emilia Cantón (HUP La Fe, Valencia, Spain) for supplying the Candida parapsilosis strains. SGIker technical and human support (UPV/EHU, MICINN, GV/EJ, ESF) is gratefully acknowledged.

Funding

This work was supported by the Consejería de Educación, Universidades e Investigación of the Gobierno Vasco-Eusko Jaurlaritza [GIC 15/78 IT-990-16] and the Universidad del País Vasco/Euskal Herriko Unibertsitatea [UFI 11/25]. CTS has been supported by a research grant of the Fundación Jesús de Gangoiti Barrera.

Availability of data and materials

The datasets generated or analyzed during the current study are not publicly available due we have no secure institutional repository and the main results are adequately summarized along with the manuscript. However, additional details are available from the corresponding author on reasonable request and a signed data transfer form. Neither the fragment analysis results nor the electropherograms obtained have been deposited in any genetic database because up to our knowledge there is no opportunity to upload such data in those repositories.

Abbreviations

55-TAMK

TAMRA-tetramethyl-6-rhodamine

56-FAM

56-carboxyfluorescein

5MAXN

Max 557 NHS ester

5RhoR-XN

Rhodamine Red-X

ATCC

American type culture collection

bp

Base pair

BSA

Bovine serum albumin

CBS

Centraalbureau voor Schimmelcultures

CI

Confidence interval

DNA

Deoxyribonucleic acid

dNTPs

Deoxynucleotide triphosphates

FN

False negative

FP

False positive

ISA

Instituto Superior de Agronomía

MALDI TOF-MS

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

MLST

Multilocus sequence typing

NCPF

National Collection of Pathogenic Fungi

NCYC

National Collection of Yeast Cultures

NPV

Negative predictive value

PCR

Polymerase chain reaction

PIC

Polymorphic information content

PPV

Positive predictive values

RAPD

Random amplified polymorphic DNA

RFLP

Restriction fragment length polymorphism

SADH

Secondary alcohol dehydrogenase

SNR

Signal to noise ratio

SSR

Single sequence repeats

STR

Short tandem repeat

TN

True negative

TP

True positive

U

Units

UPGMA

Unweighted pair-group method with arithmetic mean

SI units

°C

Celsius degrees

h

Hour

min

Minute

mM

Millimolar

ng

Nanograms

s

Second

μl

Microliters

μM

Micromolar

Authors’ contributions

CTS and GE designed the multiplex PCR, conducted the experiments and analyzed the data. GE, CP, EE and GQ participated in the coordination and concept of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study does not involve human participants, human data or human tissue. The authors solely used C. parapsilosis sensu stricto strains from different repositories or collections to fulfill the objectives of the study. No processing of primary samples was made during the experimental work and the need for ethics approval and consent to participate was unnecessary according to the Spanish Biomedical Research Law and other European Union regulations. However, a formal approval was asked to the Ethical and Research Committee of the University of the Basque Country to ensure that all the issue research was in accordance with the legal and ethical requests prior to its beginning (Ethics Committee of the Universidad del País Vasco/Euskal Herriko Unibertsitatea UPV/EHU, Bilbao, Spain, reference number CEIAB M30_2015_248).

Consent for publication

Not applicable.

Competing interests

We have no specific conflicts of interest related to the current manuscript but declare the following: EE has received grant support from Astellas Pharma and Pfizer SLU. GQ has received grant support from Astellas Pharma, Gilead Sciences, Merck Sharp and Dohme, Pfizer SLU, and Scynexis. He has also been an advisor/consultant to Merck Sharp and Dohme and Scynexis, and has been paid for talks on behalf of Abbvie, Astellas Pharma, Gilead Sciences, Merck Sharp and Dohme, Pfizer SLU, and Scynexis. The authors have not other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or material discussed in the manuscript apart from those disclosed above.

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Contributor Information

Camino Trobajo-Sanmartín, Email: camino.trobajo@ehu.eus.

Guillermo Ezpeleta, Email: guillermo.ezpeleta.lobato@navarra.es.

Célia Pais, Email: cpais@bio.uminho.pt.

Elena Eraso, Email: elena.eraso@ehu.eus.

Guillermo Quindós, Phone: +34 94 601 2854, Email: guillermo.quindos@ehu.eus.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated or analyzed during the current study are not publicly available due we have no secure institutional repository and the main results are adequately summarized along with the manuscript. However, additional details are available from the corresponding author on reasonable request and a signed data transfer form. Neither the fragment analysis results nor the electropherograms obtained have been deposited in any genetic database because up to our knowledge there is no opportunity to upload such data in those repositories.


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