Literature DB >> 30268088

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

Camino Trobajo-Sanmartín1, Guillermo Ezpeleta2,3, Célia Pais4, Elena Eraso1, Guillermo Quindós5.   

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.

Entities:  

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

Mesh:

Substances:

Year:  2018        PMID: 30268088      PMCID: PMC6162959          DOI: 10.1186/s12864-018-5065-3

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


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 [1-3]. 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 [6-8]. 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

Summary of the touchdown PCR protocol

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)

CharacteristicSabino et al. [5]Diab-Elschahawi et al. [6]Reiss et al. [7]Vaz et al. [8]Trobajo-Sanmartín et al. (This study)
PCR scheme usedSingleplexbMultiplexMultiplexMultiplexMultiplex
Redesign of the original primersNAYesYesYesNo
Number of primers pairs used for each PCR reaction13144
Total number of PCR reactions needed for a complete STR analysis32511
Number of dyes used in each genotyping reaction33134
Evaluation of the sensitivity and specificityaNANoNoNoYes
Evaluation of the microsatellite informativeness parametersYesUnknowncUnknowncUnknownbYes
Total time elapsed to obtained results (in minutes)1387919713879
Approximate costd estimated of the primer pairs used in each protocol (in euros)5,6015,727,009,2612,76
Approximate total costd estimated for the complete STR analysis of one sample (in euros)15,5822,5320,7714,0017,45

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

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) 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)

PolymeraseFPFNTPTNSensitivity (CI 95%)Specificity (CI 95%)PPV (CI 95%)NPV (CI 95%)
TaKaRa® Ex Taq Hot Start Version120350100%0%74.47%NA
(90.1%. 100%)(0.0%. 26.5%)(59.7%. 86.1%)(NA)
KAPA 2G Fast Multiplex PCR kit120350100%0%74.47%NA
(90.1%. 100%)(0.0%. 26.5%)(59.7%. 86.1%)(NA)
AmpliTaq® Gold DNA Polymerase003512100%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

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

StrainMicrosatellite (bp) Sabino’s protocolMicrosatellite (bp) This study
CP1CP4CP6B5CP1CP4CP6B5
MYA-4646243/243308/327292/295154/154242/242307/327291/294154/154
ATCC 22019244/250306/306292/292132/132242/247307/307293/293136/136
429239/242312/358250/250139/139239/242310/358250/250139/139
431236/242309/309265/282133/138236/242307/307264/281133/139
476222/242308/370265/265133/133236/242307/307264/264139/139
477239/242327/327264/264135/135239/242326/326264/264134/134
480222/242364/370268/271120/135222/242362/370267/270120/134
482242/271352/370291/294133/137242/270351/370290/293132/136
486222/242373/373306/306135/135222/242372/372305/305134/134
489239/239308/308259/259154/154239/239307/307258/258152/152
491242/271370/370269/291132/132242/271369/369290/290132/132
499242/242361/364267/270120/135242/242360/363267/270119/134
504237/243309/309265/283133/139236/242307/307264/282132/138
509239/242394/397270/302133/145239/242390/390270/302132/144
512216/222373/373305/308135/135216/222372/372305/308134/134
514222/242372/372309/309135/135222/242372/372308/308134/134
517217/223373/373306/309135/135216/222372/372305/308134/134
521222/242370/370271/320135/135222/242369/369270/319134/134
522222/242370/370320/320135/135222/242370/370320/320134/134
534239/242379/379288/294135/135239/242379/379288/294125/134
536222/242370/385273/320135/135222/242369/384273/320134/134
542239/242324/343253/253163/163239/242323/343253/253163/163
543239/239355/355273/273111/111239/239354/354273/273110/110
547239/242379/379250/317135/135239/242379/379250/250134/134
565239/242352/352273/308111/111239/242351/351273/308110/110
568222/242373/373305/308135/135222/242372/372305/308134/134
569222/242370/370318/321135/135222/242369/369317/320134/134
588222/242370/370320/320135/135222/242369/369320/320135/135
591222/242370/370276/320135/135222/242369/369276/319135/135
592239/242400/420270/302133/145239/242400/420270/302133/145
593219/259308/308267/288153/155219/259307/307267/287153/156
595222/242370/370270/320135/135222/242369/369270/320135/135
596242/242361/364267/270120/135242/242360/363267/270120/135
599236/242308/308264/264139/139236/242307/307264/264139/139
600242/242361/364267/270120/135242/242360/363267/270120/135
Microsatellite fragment analysis after different PCR schemes (N = 35) 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

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)

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

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

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

ParametersCP1CP4CP6B5MultiplexStudy
Polymorphic information content (PIC)0.6920.8700.9420.8020.957This study (2016)
Simpson Index0.7240.8790.9440.8160.959
Observed heterozygosis0.7230.2730.6060.3330.958
Unbiased estimation of heterozygosis0.7240.8800.9450.8160.960
Entropy (in bits)2.4503.6474.4303.1794.688
Simpson Index0.8500.8900.9600.8600.990Sabino et al. (2010) [5]
Observed heterozygosis0.7330.2140.5230.300
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

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 A1Clade A2Clade B1Clade B2Clade C1Clade C2Total
Clade A13000003
Clade A21500006
Clade B10080008
Clade B20000011
Clade C1000012012
Clade C20000033
Total458012433
AgreementExpected agreementKappa indexStd. Error of Kappa indexZp-value
0.9390.2400.9200.091710.04<  0.001
Direct concordance and Kappa indices of the multiplex PCR touchdown protocol

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.
  21 in total

1.  Genotyping of Candida parapsilosis from three neonatal intensive care units (NICUs) using a panel of five multilocus microsatellite markers: broad genetic diversity and a cluster of related strains in one NICU.

Authors:  Errol Reiss; Brent A Lasker; Timothy J Lott; Catherine M Bendel; David A Kaufman; Kevin C Hazen; Kelly C Wade; Karin L McGowan; Shawn R Lockhart
Journal:  Infect Genet Evol       Date:  2012-07-05       Impact factor: 3.342

2.  Touchdown PCR for increased specificity and sensitivity in PCR amplification.

Authors:  Darren J Korbie; John S Mattick
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

3.  Microsatellite genotyping clarified conspicuous accumulation of Candida parapsilosis at a cardiothoracic surgery intensive care unit.

Authors:  Magda Diab-Elschahawi; Christina Forstner; Ferry Hagen; Jacques F Meis; Andrea M Lassnig; Elisabeth Presterl; Corné H W Klaassen
Journal:  J Clin Microbiol       Date:  2012-08-08       Impact factor: 5.948

4.  Analysis of clinical and environmental Candida parapsilosis isolates by microsatellite genotyping--a tool for hospital infection surveillance.

Authors:  R Sabino; P Sampaio; L Rosado; Z Videira; F Grenouillet; C Pais
Journal:  Clin Microbiol Infect       Date:  2015-06-10       Impact factor: 8.067

5.  Prevalence and antifungal susceptibility patterns of new cryptic species inside the species complexes Candida parapsilosis and Candida glabrata among blood isolates from a Spanish tertiary hospital.

Authors:  Ilargi Miranda-Zapico; Elena Eraso; José Luis Hernández-Almaraz; Leyre Mónica López-Soria; Alfonso Javier Carrillo-Muñoz; Juan Manuel Hernández-Molina; Guillermo Quindós
Journal:  J Antimicrob Chemother       Date:  2011-07-26       Impact factor: 5.790

6.  New polymorphic microsatellite markers able to distinguish among Candida parapsilosis sensu stricto isolates.

Authors:  Raquel Sabino; Paula Sampaio; Laura Rosado; David A Stevens; Karl V Clemons; Célia Pais
Journal:  J Clin Microbiol       Date:  2010-03-10       Impact factor: 5.948

7.  Candida orthopsilosis and Candida metapsilosis spp. nov. to replace Candida parapsilosis groups II and III.

Authors:  Arianna Tavanti; Amanda D Davidson; Neil A R Gow; Martin C J Maiden; Frank C Odds
Journal:  J Clin Microbiol       Date:  2005-01       Impact factor: 5.948

Review 8.  Candida parapsilosis: a review of its epidemiology, pathogenesis, clinical aspects, typing and antimicrobial susceptibility.

Authors:  Eveline C van Asbeck; Karl V Clemons; David A Stevens
Journal:  Crit Rev Microbiol       Date:  2009       Impact factor: 7.624

9.  Evidence of genotypic diversity among Candida auris isolates by multilocus sequence typing, matrix-assisted laser desorption ionization time-of-flight mass spectrometry and amplified fragment length polymorphism.

Authors:  A Prakash; C Sharma; A Singh; P Kumar Singh; A Kumar; F Hagen; N P Govender; A L Colombo; J F Meis; A Chowdhary
Journal:  Clin Microbiol Infect       Date:  2015-11-05       Impact factor: 8.067

10.  Mass Spectrometry-based PhyloProteomics (MSPP): A novel microbial typing Method.

Authors:  Andreas Erich Zautner; Wycliffe Omurwa Masanta; Michael Weig; Uwe Groß; Oliver Bader
Journal:  Sci Rep       Date:  2015-08-25       Impact factor: 4.379

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  3 in total

1.  First Report of Candidemia Clonal Outbreak Caused by Emerging Fluconazole-Resistant Candida parapsilosis Isolates Harboring Y132F and/or Y132F+K143R in Turkey.

Authors:  Amir Arastehfar; Farnaz Daneshnia; Suleyha Hilmioğlu-Polat; Wenjie Fang; Melike Yaşar; Furkan Polat; Dilek Yeşim Metin; Petra Rigole; Tom Coenye; Macit Ilkit; Weihua Pan; Wanqing Liao; Ferry Hagen; Markus Kostrzewa; David S Perlin; Cornelia Lass-Flörl; Teun Boekhout
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

2.  Clonal Candidemia Outbreak by Candida parapsilosis Carrying Y132F in Turkey: Evolution of a Persisting Challenge.

Authors:  Amir Arastehfar; Suleyha Hilmioğlu-Polat; Farnaz Daneshnia; Weihua Pan; Ahmed Hafez; Wenjie Fang; Wanqing Liao; Zümrüt Şahbudak-Bal; Dilek Yeşim Metin; João N de Almeida Júnior; Macit Ilkit; David S Perlin; Cornelia Lass-Flörl
Journal:  Front Cell Infect Microbiol       Date:  2021-04-22       Impact factor: 5.293

3.  Candida tropicalis is the most prevalent yeast species causing candidemia in Algeria: the urgent need for antifungal stewardship and infection control measures.

Authors:  Youcef Megri; Amir Arastehfar; Teun Boekhout; Farnaz Daneshnia; Caroline Hörtnagl; Bettina Sartori; Ahmed Hafez; Weihua Pan; Cornelia Lass-Flörl; Boussad Hamrioui
Journal:  Antimicrob Resist Infect Control       Date:  2020-04-07       Impact factor: 4.887

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