Literature DB >> 27103821

Development of Candida-Specific Real-Time PCR Assays for the Detection and Identification of Eight Medically Important Candida Species.

Jing Zhang1, Guo-Chiuan Hung1, Kenjiro Nagamine2, Bingjie Li1, Shien Tsai1, Shyh-Ching Lo3.   

Abstract

Culture-based identification methods have been the gold standard for the diagnosis of fungal infection. Currently, molecular technologies such as real-time PCR assays with short turnaround time can provide desirable alternatives for the rapid detection of Candida microbes. However, most of the published PCR primer sets are not Candida specific and likely to amplify DNA from common environmental contaminants, such as Aspergillus microbes. In this study, we designed pan-Candida primer sets based on the ribosomal DNA-coding regions conserved within Candida but distinct from those of Aspergillus and Penicillium. We demonstrate that the final two selected pan-Candida primer sets would not amplify Aspergillus DNA and could be used to differentiate eight medically important Candida pathogens in real-time PCR assays based on their melting profiles, with a sensitivity of detection as low as 10 fg of Candida genomic DNA. Moreover, we further evaluated and selected species-specific primer sets covering Candida albicans, Candida glabrata, Candida tropicalis, and Candida dubliniensis and show that they had high sensitivity and specificity. These real-time PCR primer sets could potentially be assembled into a single PCR array for the rapid detection of Candida species in various clinical settings, such as corneal transplantation.

Entities:  

Keywords:  melting profiles; primer design; ribosomal DNA; species differentiation; specific PCR

Year:  2016        PMID: 27103821      PMCID: PMC4836890          DOI: 10.4137/MBI.S38517

Source DB:  PubMed          Journal:  Microbiol Insights        ISSN: 1178-6361


Introduction

Fungal microbes such as those of Candida species are considered as part of normal human microbial flora.1 However, immunocompromised individuals such as recipients of organ or tissue transplants are particularly prone to fungal infections due to the suppression of their immune system. Especially, severe adverse events such as endophthalmitis with Candida infections following penetrating keratoplasty in the corneal transplant recipients appear to be increasingly reported.2,3 The most commonly reported Candida species from clinical human cases are Candida albicans, Candida glabrata, Candida tropicalis, Candida parapsilosis, Candida guilliermondii, Candida lusitaniae, Candida dubliniensis, and Candida krusei.4,5 Most of the well-established laboratory tests for the diagnosis of Candida infections are culture-based methods, which are time consuming and laborious. Recent studies have shown that the advances in molecular technologies, such as real-time quantitative PCR (qPCR) assays, are useful in detecting microbial infections without the need for microbial isolation from the examined samples. Several qPCR assays have been previously developed to detect Candida DNA in various clinical settings.6 Among the target sequences of choice, nuclear ribosomal DNA (rDNA) has been the most commonly used since it exists in the genome as tandemly repeated copies, and the first and second internal transcribed spacers (ITS-1 and ITS-2) of rDNA have been shown to provide reliable species-specific genetic markers for fungal pathogens.7,8 The rationale of this approach is that the primer sets targeting the sequences of highly conserved rDNA-coding regions (18S, 28S, or 5.8S) that flank ITS-1 or ITS-2 can effectively amplify rDNA from all Candida species. Subsequently, the amplicons containing species-specific sequences of the ITS-1 or ITS-2 could be distinguished from each other by restriction fragment length polymorphism,9 by the use of species-specific Taqman probes or by melting curve analysis using SYBR Green dye at the end of the final real-time PCR cycle for species differentiation.10 It is of important clinical relevance to distinguish Candida microbes to the species level given their different susceptibilities to different antifungal drugs.11,12 As most of the previously published pan-fungal primer sets are predicted to amplify a wide range of fungal DNAs based on sequence alignments, in this study, we specifically designed the in-house pan-Candida primer sets such that they were predicted not to amplify DNA from Aspergillus microbes, common environmental contaminants that can potentially produce undesirable false-positive signals in Candida-specific PCR assays. We evaluated the specificity and sensitivity of these primer sets using conventional and real-time PCR assays for the detection and differentiation of eight medically important Candida pathogens, namely C. albicans, C. glabrata, C. tropicalis, C. parapsilosis, C. lusitaniae, C. krusei, C. guilliermondii, and C. dubliniensis.

Materials and Methods

Microbial strains and cultivation

All fungal species used in this study were obtained from the American Type Culture Collection (ATCC). A total of 16 Candida strains representing eight Candida species were obtained: C. albicans (ATCC 14053, ATCC 11006, and ATCC 18804), C. glabrata (ATCC 2001 and ATCC 66032), C. tropicalis (ATCC 750 and ATCC 66029), C. dubliniensis (ATCC MYA-646 and ATCC MYA-578), C. krusei (ATCC 14243 and ATCC 32196), C. parapsilosis (ATCC 22019 and ATCC 90018), C. guilliermondii (ATCC 6260), and C. lusitaniae (ATCC 34449 and ATCC 42720). In addition to the Candida species, two Aspergillus species, Aspergillus fumigatus (ATCC 1066) and Aspergillus flavus (ATCC 9643), were included for cross-reactivity testing. All fungal strains were cultured on Sabouraud’s dextrose (SD) agar or in SD broth at 30°C for 48 hours for Candida species and 72 hours for Aspergillus species. The bacterial species, Streptococcus pyogenes (ATCC 19615), Streptococcus pneumoniae (ATCC 49619), Enterococcus faecalis (ATCC 29212), Staphylococcus aureus (ATCC 25923), Clostridium perfringens (ATCC 3628 and ATCC 13124), Bacillus cereus (ATCC 31430), and Escherichia coli (ATCC 25922), were obtained from ATCC, cultured following the protocols recommended by ATCC, and used for cross-reactivity testing as well.

Isolation of genomic DNA

To isolate fungal genomic DNA, five loops of fungal biomass from SD agar plates were scraped, suspended, and washed extensively in phosphate-buffered saline. The cell pellet was then suspended in YD Digestion Buffer with 25 U of R-Zymolyase (Zymo Research) and incubated at 37°C for one hour. After vortexing thoroughly, the genomic DNA was extracted using ZR Fungal/Bacterial DNA Kit (Zymo Research) according to the manufacturer’s protocol. Bacterial genomic DNAs were isolated using the DNeasy Blood & Tissue Kit (Qiagen) according to the manufacturer’s protocol. Human genomic DNA was prepared from the buffy coat of a healthy blood donor from the National Institutes of Health Clinical Center Blood Bank using the DNeasy Blood & Tissue Kit (Qiagen). All DNA samples were quantified using a Nanodrop Spectrophotometer (Thermo Scientific) and stored at −20°C prior to PCR amplification.

Pan-Candida primer design

The sequences of 18S, 5.8S, and 28S rDNA of C. albicans, C. glabrata, C. tropicalis, C. parapsilosis, C. dubliniensis, C. krusei, C. lusitaniae, C. guilliermondii, A. flavus, A. fumigatus, Aspergillus nidulans, Aspergillus niger, Aspergillus penicillioides, Aspergillus terreus, and Penicillium chrysogenum were downloaded from the National Center for Biotechnology Information and aligned. Regions of DNA sequences that are conserved within Candida species but distinct from Aspergillus and Penicillium species were identified. A total of four pan-Candida primer sets were designed: two primer sets (18S-1F/5.8S-1R and 18S-2F/5.8S-1R) for amplifying ITS-1, one primer set (5.8S-1F/28S-1R) for amplifying ITS-2, and one primer set (28S-2F/28S-2R) for amplifying a variable segment of 28S ribosomal gene were designed. Nucleotide sequences of four in-house designed primer sets, and the published primer sets used in this study are listed in Table 1. A schematic representation of the relative positions of 18S-1F, 5.8S-1R, 5.8S-1F, and 28S-1R primers and two previously published primer sets (Fungal-7a,7b/RT1 and UNF1/UNF2)13,14 in the rDNA transcriptional unit is shown in Figure 1.
Table 1

Evaluation of pan-Candida primer sets by 2 PCR platforms.

PRIMERaFORWARD PRIMERREVERSE PRIMERCONVENTIONAL PCRREAL-TIME PCRPRIMER REFERENCE
SENSITIVITYb (fg/REACTION)SPECIFICITYcSPECIES DIFFERENTIATIONSENSITIVITYb (fg/REACTION)SPECIFICITYc
18S-1F/5.8S-1RGCAAGTCATCAGCTTGCGTTTGCGTTCTTCATCGATGCGA50 (100 for C. glabrata)0Yes10 (100 for C. glabrata)0This study
18S-2F/5.8S-1RACTACCGATTGAATGGCTTATGCGTTCTTCATCGATGCGA50 (100 for C. glabrata)0No10 (100 for C. glabrata)0This study
5.8S-1F/28S-1RCAACGGATCTCTTGGTTCTCCGGGTAGTCCTACCTGATTT50 (100 for C. glabrata)0Yes10 (100 for C. glabrata)0This study
28S-2F/28S-2RCGGCGAGTGAAGCGGCTAAATTCCCAAACAACTCGACTC50 (100 for C. glabrata)0No10 (100 for C. glabrata)0This study
ITS1/ITS4TCCGTAGGTGAACCTGCGGTCCTCCGCTTATTGATATGC10001n.d.n.d.n.d.Dunyach C et al 2008
Cand-F/ITS-RCCTGTTTGAGCGTCRTTTTCCTCCGCTTATTGATAT100 (1000 for C. albicans)0n.d.n.d.n.d.Schabereiter-Gurtner et al 2007
Fungal-7a,7b/RTI7a: GTCGTGCTGGGGATARAGCAT7b: GTCGTGCTGGGGATAGARCATGATATGCTTAAGTTCAGCGGGT1001No50n.d.Mandviwala et al 2010
CandUn/FungUnCATGCCTGTTTGAGCGTCTCCTCCGCTTATTGATATGCTn.d.d1No10n.d.Goldschmidt et al 2012

Notes:

Primer names in boldface are the selected primer sets in this study.

PCR detection sensitivity for all 8 targeted Candida species except for the species in the parenthesis.

Specificity: Test was performed using the primer set to amplify 5 ng of genomic DNA prepared from each samples of a control panel containing 2 Aspergillus sp., 7 common bacteria and human PBMC. Number “0” indicates no PCR product was amplified from any of the samples from the control panel. Number “1” indicates no PCR product was amplified from any of the samples from the control panel, except the DNA samples from the 2 Aspergillus sp.

n.d. = not done.

Figure 1

Schematic representation of rDNA transcriptional unit, including the 18S, 5.8S, and 28S genes and the first and second internal transcribed spacers (ITS-1 and ITS-2, respectively), showing the relative positions of the primer sets used in PCR. Bases identical to those of C. albicans are represented by a dot (.). The primer sequences are listed in Table 1.

Conventional PCR testing

Each PCR mixture contained 10× PCR buffer (100 mM Tris-HCl [pH 9.0], 15 mM MgCl2, 500 mM KCl, and 1.0% Triton X-100), dNTPs (2.5 μM), primers (10 μM each), Hotstar Taq polymerase, and DNA template. Amplification was carried out in Mastercycler Pro S (Eppendorf) at 95°C for five minutes, then 95°C for 30 seconds, 58°C for 30 seconds, and 72°C for 30 seconds for 45 cycles, followed by final extension at 72°C for seven minutes. PCR products were analyzed by electrophoresis. Amplicons were detected on ultraviolet transillumination by an electronic documentation system (GelDoc-It Imaging System; UVP).

Real-time PCR testing and melting curve analysis

To perform real-time qPCR assays, Power SYBR Green PCR Master Mix containing AmpliTaq gold DNA polymerase (Bio-Rad) was used. Real-time PCR was performed in triplicates using the CFX96 Real-Time PCR Detection System (Bio-Rad) with the following parameters: an initial activation of AmpliTaq gold DNA polymerase at 95°C for 10 minutes, followed by 50 cycles of 95°C for 30 seconds (denaturation) and 60°C for one minute (annealing and extension). For melting curve analysis, amplicons were subjected to melting curve analysis by gradually increasing the temperature from 65 to 95°C at 0.1°C/s and recording the changes in fluorescence intensities to determine the melting profiles for each target amplicon. The threshold of each PCR is determined by the CFX Manager Software (Bio-Rad) with default setting. For each PCR run, a panel of DNA samples consisted of 5 pg, 1 pg, 500 fg, 100 fg, 50 fg, 10 fg, and 5 fg of DNA from each of the target Candida species and 5 ng of DNA from Aspergillus, common bacteria, and humans, and a no template control was included. Multiple strains within the same species were used when available.

Results

Evaluation of pan-Candida primer sets by conventional PCR assays

The PCR sensitivity and specificity of four in-house pan-Candida primer sets were first evaluated using conventional PCR assays (Table 1). The results showed that four in-house designed primer sets detected 50 fg of genomic DNA for all tested Candida species, except C. glabrata; the limit of detection for the latter is 100 fg of genomic DNA (Table 1). No nonspecific amplicons were observed from any control samples tested upon examination on agarose gel electrophoresis. For comparison, we also tested three previously published pan-fungal primer sets. Primer set ITS-1/ITS-47 could detect only 1 pg of genomic DNA from all Candida species tested and produced a nonspecific amplification from Aspergillus DNA. Primer set Fungal-7a,7b/RT1 detected 100 fg of genomic DNA of all Candida species tested and produced a nonspecific amplification from Aspergillus DNA. Primer set Cand-F/ITS-R15 detected 100 fg of genomic DNA of all Candida species tested, except C. albicans, for which the sensitivity of detection is 1 pg of genomic DNA (Table 1).

Evaluation of pan-Candida primer sets by real-time PCR assays

We first evaluated the sensitivity of the pan-Candida primer sets. The results indicated that all four in-house pan-Candida primer sets could detect 10 fg of genomic DNA of all Candida species tested, except C. glabrata, for which the sensitivity is 100 fg of genomic DNA (Table 1). In addition, the detection sensitivity of the four in-house pan-Candida primer sets was not affected by the presence of 5 ng of human DNA in the background (data not shown). For comparison, we also tested the sensitivity of published primer set Fungal-7a,7b/RT1 and CandUn/FungUn,16 which could detect 50 and 10 fg of genomic DNA, respectively (Table 1). The specificity of four in-house pan-Candida primer sets was tested against a panel of 5 ng of genomic DNA from each of the control samples, including Aspergillus, humans, and common bacteria. None of the four in-house primer sets amplified DNA from any control sample (Table 1). We then evaluated the abilities of the pan-Candida primer sets to distinguish the eight medically important Candida species by their specific amplicon melting profiles. For pan-Candida primer set 5.8S-1F/28S-1R targeting ITS-2, most of the species displayed a single major peak, whereas C. parapsilosis appears to have several domains when melted, with a major peak at 79.5°C (Fig. 2). The melting peaks for C. glabrata, C. dubliniensis, and C. guilliermondii seem to be clearly separated from one another; however, there are slight variations from different strains within each species that may be too close to make reliable distinction for species differentiation among themselves. For C. tropicalis, C. albicans, C. lusitaniae, and C. krusei, their unique melting profile allows species-specific differentiation with the main peak at 79.0, 81.3, 81.9 and 85.1°C, respectively.
Figure 2

Melting profiles for amplicons targeting ITS-2 using primer set 5.8S-1F/28S-1R. Each profile tracing represents the result from an individual strain of the following tested species: 1. C. parapsilosis (2), 2. C. tropicalis (2), 3. C. guilliermondii (1), 4. C. glabrata (2), 5. C. dubliniensis (2), 6. C. albicans (3), 7. C. lusitaniae (2), and 8. C. krusei (2). The number in the parenthesis after the species name indicates the number of strains examined in the study.

For pan-Candida primer set 18S-1F/5.8S-1R targeting ITS-1, the melting profiles for species with two and three melting peaks are shown separately in Figure 3A and B, respectively. For species with two melting peaks, C. parapsilosis, C. tropicalis, and C. guilliermondii could be easily distinguishable from each other by its own unique minor and major peaks. Both C. dubliniensis and C. albicans had major melting peaks at 81.4–81.5°C, but the separation of the left shoulder of the melting curve may allow distinction between the two species (Fig. 3A). For species with three melting peaks, C. glabrata, C. lusitaniae, and C. krusei could be clearly distinguished from one another by their unique melting profiles (Fig. 3B).
Figure 3

Melting profiles for amplicons targeting ITS-1 using primer set 18S-1F/5.8S-1R. Each profile tracing represents the result from an individual strain of the following tested species: in panel (A), 1. C. parapsilosis (2), 2. C. tropicalis (2), 3. C. guilliermondii (1), 5. C. dubliniensis (2), and 6. C. albicans (2); in panel (B), 4. C. glabrata (2), 7. C. lusitaniae (2), and 8. C. krusei (2). The number in the parenthesis after the species name indicates the number of strains examined in the study.

The results using the other two in-house pan-Candida primer sets (18S-2F/5.8S-1R and 28S-2F/28S-2R) and the published primer sets CandUn/FungUn and Fungal-7a,b/RT1 are not shown, given the lack of clear distinction in melting profiles for several Candida species. The other two primer sets ITS-1/ITS-4 and Cand-F/ITS-R had lower sensitivity of detecting 100 fg to 1 pg of genomic DNA in conventional PCR assay and were not tested in real-time PCR assays.

Evaluation of species-specific primer sets

A total of 25 species-specific primers sets (Table 2) were selected either based on the species-specific regions identified from the rDNA sequence alignment or from previously published articles.8,17,18 We first evaluated the sensitivity and specificity of these primer sets in conventional PCR assays. After excluding the primer sets that had low sensitivity and specificity, we selected 10 primer sets for further testing in real-time PCR assays. As shown in Table 2, the sensitivity for most of the primer sets (n = 7) is 50 fg of genomic DNA. Primer set CDU1/2 for detecting C. dubliniensis had sensitivity at 100 fg of genomic DNA, while primer set albi 2F/2R for detecting C. albicans and primer set trop 3F/3R for detecting C. tropicalis had a sensitivity at 500 fg of genomic DNA. In most cases, the detecting sensitivity was not affected by the presence of 5 ng of human DNA in the background (data not shown). Generally, the real-time PCR assays did not produce nonspecific side amplification against other control DNA samples. However, because primer set CTR 5/6 for detecting C. tropicalis also amplified genomic DNA of C. guilliermondii and C. krusei with similar peak, it was, therefore, considered as a nonspecific primer set. Similarly, primer set CPA1/2 for detecting C. parapsilosis was also considered as a nonspecific primer set since it also amplified Aspergillus genomic DNA with similar peak.
Table 2

Evaluation of species-specific primer sets by 2 PCR platforms.

PRIMERaTARGET SPECIESFORWARD PRIMERREVERSE PRIMERCONVENTIONAL PCRREAL-TIME PCRPRIMER REFERENCE
SENSITIVITY (fg/REACTION)SPECIFICITYbSENSITIVITY (fg/REACTION)SPECIFICITYb
CALB 1/2C. albicansTTTATCAACTTGTCACACCAGAATCCCGCCTTACCACTACCG500500Hsu et al 2003
CALB 3/4C. albicansCCTGCCGCCAGAGGTCTCGGTAACGTCCACCACGTATAPrimer dimern.d.cn.d.In-house
CALB 5/6C. albicansACTGCTCAAACCATCTCTGGCACAAGGCAAATGAAGGAATNo amplificationn.d.n.d.Sardi et al 2011
albi 1F/1RC. albicansAGGGAAGCTTGCAGTATTGACAAACCAATGCACCTTTACTTCATCTCPrimer dimern.d.n.d.In-house
albi 2F/2RC. albicansTGGCATCGGTCTCTATCGATTATCTTGACAAGATTAGCGTAAATTTCGAG50005000In-house
albi 3F/3RC. albicansGACTCATTTTAATCGTCTGGTGGCTAGTTCCTTAATTATCGCCGCATGTNo amplificationn.d.n.d.In-house
CGL 1/2C. glabrataTTATCACACGACTCGACACTCCCACATACTGATATGGCCTACAA500500Hsu et al 2003
gla 1F/1RC. glabrataTTTCTCCTGCCTGCGCTTAAGGTGTGCGTGGATCTCTCTATTCCA501n.d.n.d.In-house
gla 2F/2RC. glabrataACAGGGTCTGATCAGCAACCAGCCAACTATCCCAACTGGTGTNo amplificationn.d.n.d.In-house
gla 6F/6RC. glabrataTCGAACTCCTGTTCACGAACTTTTTATGTGGTAGTACCTGAGTTGCAC502500In-house
gla 8F/8RC. glabrataAGGCCCGTTAAAGTAAAGGTCGGGGGTAGAAGCGTTACTCGTT502500In-house
CTR 1/2C. tropicalisCAATCCTACCGCCAGAGGTTATTGGCCACTAGCAAAATAAGCGT502n.d.n.d.Hsu et al 2003
CTR 3/4C. tropicalisCACCCAAACAATTACCAAGTTGCAAACTCTTTACCTGGATNo amplificationn.d.n.d.Sardi et al 2011
CTR 5/6C. tropicalisATTTAACGTGGAAACTTATTTTAAGCGATCCAGGCCTATGTAAAGTTCCTT502502In-house
CTR l/anti5C. tropicalisCAATCCTACCGCCAGAGGTTATCGCTTAAAATAAGTTTCCACGTTAAAT500500CTR1: Hsu et al 2003; anti5: in-house
trop 1F/1RC. tropicalisAATGTATCACCGGCAGCCAATCTTGTAATTTCAATGCTGGGGAACANo amplificationn.d.n.d.In-house
trop 2F/2RC. tropicalisCAGAAACGCCTCCGTTTTGTTCAACGATCGTGGTGCTGCC5000n.d.n.d.In-house
trop 3F/3RC. tropicalisAGAGGATTCTACCGCACACAAGATCCAGAGATCGGATGATCCAGTAT50005000In-house
CPA 1/2C. parapsilosisGCCAGAGATTAAACTCAACCAACCTATCCATTAGTTTATACTCCGC501501Hsu et al 2003
CKRU 1/2C. kruseiGCATCGATGAAGAACGCAGCAAAAGTCTAGTTCGCTCGGGCC507n.d.n.d.Hsu et al 2003
CGU 1/2C. guillermondiiGCATCGATGAAGAACGCAGCGTTTGGTTGTTGTAAGGCCGGG502n.d.n.d.Hsu et al 2003
CGU 3/4C. guillermondiiAGTCGGACTAGGCGTTTGCTTCCCGGCCTTACAACAACCAAAC507n.d.n.d.In-house
CGU 5/6C. guillermondiiCGGGGAGGTAGTGACAATACATTCGCCCTTGTGGTGTTTG502n.d.n.d.Yamamura et al 2009
CDU 1/2C. dubliniensisCTGGCGTCGCCCATTTTATTGCCACCCCCGAAAGAGTAACT10001000In-house
CDU 3/4C. dubliniensisGTATTTGTCGTTCCCCTTTCGTGTTGTGTGCACTAACGTCNo amplificationn.d.n.d.Sardi et al 2011

Notes:

Primer name in boldface indicates the final selection of primer sets.

Specificity test was performed against a control panel of 5 ng of genomic DNA from 2 Aspergillus sp., 7 common bacteria, human PBMC and other non-target Candida species. Numbers shown represent the non-specific amplicons observed.

n.d. = not done.

Finally, a total of eight species-specific primer sets covering C. albicans, C. glabrata, C. tropicalis, and C. dubliniensis with high sensitivity and specificity were selected (Table 2). These species-specific primer sets are intended to be incorporated with pan-Candida primer sets and will be arranged onto a PCR array for the detection and identification of Candida species.

Discussion

Rapid and accurate identification of Candida species in clinical specimens is essential for patient care for the initiation of proper antifungal treatments. The traditional culturing methods for the identification of fungal species are time-consuming and the results can sometimes be inconclusive. Therefore, it is highly desirable to develop a robust molecular method for the detection and identification of Candida species. Studies using high-resolution DNA melting analysis to discriminate various Candida species based on the sequence variation of the target amplicons have been reported previously.13,17,19 However, many of these primer sets are also known to amplify Aspergillus species, which are common environmental contaminants. Therefore, we specifically designed the pan-Candida primer sets in the rDNA regions where the primer sequences are conserved within Candida species but distinct from Aspergillus species at the 3′ end. Indeed, none of our four in-house pan-Candida primer sets amplified a large excess of Aspergillus DNA (1–100 ng) (cf., the sensitivity of pan-Candida primer sets at 10–100 fg of Candida DNA), thereby significantly reducing the likelihood of false positivity due to the presence of Aspergillus microbes. The species-level differentiation among Candida microbes relies on the distinct melting profiles of the PCR amplicons, which reflects sequence differences within the target regions among different species. In general, the ideal size for amplicons should be less than 150 bp to ensure that the maximum PCR efficiency is achieved.20 However, it was not possible in our study since the regions conserved within Candida but distinct from Aspergillus are about several hundred base pairs apart on 18S, 5.8S and 28S ribosomal genes. Also, it is known that the melting profiles of an amplicon are less sensitive to sequence variation if its length is over 400 bp,21 which may be detrimental for differentiating the melting profiles for closely related species. To ensure the shorter amplicon length, we selectively designed the primer sets to amplify ITS-1 and ITS-2 separately as two amplicons so that each one is below 400 bp. Additionally, the reliability of species identification was higher when two independent amplicons were done simultaneously for cross-checking. It is interesting to note that some of the amplicons produced by our two in-house primer sets had multiple melting peaks for some species, indicating the presence of multiple domains in these particular amplicons. However, they are not off-target amplification as the identities of these amplicons, each as a single band on agarose gel, were confirmed by Sanger sequencing. We also observed that there were some slight variations within species where multiple strains were used. Nonetheless, it did not affect the overall melting profiles for clear species-specific differentiation among the eight Candida species. It is possible to further enhance the separation of melting profiles for amplicons targeting ITS-1 or ITS-2 using high-resolution melting analysis. However, we believe that it is sufficient to differentiate eight Candida species based on the melting profiles under the resolution provided by SYBR Green dye. Additionally, we have selected eight highly sensitive and species-specific primer sets to cover four major Candida species—C. albicans, C. glabrata, C. tropicalis, and C. dubliniensis—to further ensure the accuracy of species identification.

Conclusion

We have successfully demonstrated that the eight medically important Candida microbes could be unequivocally differentiated based on their combined melting profiles using the two selected pan-Candida primer sets in real-time PCR analysis, with a sensitivity of 10–100 fg DNA. These two primer sets do not amplify excessive Aspergillus DNA (1–100 ng) and thereby reduce the potential false positivity due to this common environmental contaminant. The real-time PCR assays developed in this study could potentially be used for the rapid detection and differentiation of Candida species in cornea transportation medium or washes before the culture results are available.
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Authors:  Zahra Jafari; Marjan Motamedi; Nilufar Jalalizand; Gholam R Shokoohi; Arezu Charsizadeh; Hossein Mirhendi
Journal:  Curr Med Mycol       Date:  2017-09

4.  Hyphal wall protein 1 gene: A potential marker for the identification of different Candida species and phylogenetic analysis.

Authors:  M Abastabar; S Hosseinpoor; M T Hedayati; T Shokohi; R Valadan; H Mirhendi; R Mohammadi; S R Aghili; N Rahimi; N Aslani; I Haghani; S Gholami
Journal:  Curr Med Mycol       Date:  2016-12

5.  Expansion of commensal fungus Wallemia mellicola in the gastrointestinal mycobiota enhances the severity of allergic airway disease in mice.

Authors:  Joseph H Skalski; Jose J Limon; Purnima Sharma; Matthew D Gargus; Christopher Nguyen; Jie Tang; Ana Lucia Coelho; Cory M Hogaboam; Timothy R Crother; David M Underhill
Journal:  PLoS Pathog       Date:  2018-09-20       Impact factor: 6.823

6.  Effects of an over-the-counter lactic-acid containing intra-vaginal douching product on the vaginal microbiota.

Authors:  C van der Veer; S M Bruisten; R van Houdt; A A Matser; G Tachedjian; J H H M van de Wijgert; H J C de Vries; J J van der Helm
Journal:  BMC Microbiol       Date:  2019-07-25       Impact factor: 3.605

7.  Distribution of Pathogenic Yeasts in Different Clinical Samples: Their Identification, Antifungal Susceptibility Pattern, and Cell Invasion Assays.

Authors:  Satish T Pote; Mahesh S Sonawane; Praveen Rahi; Sunil R Shah; Yogesh S Shouche; Milind S Patole; Madhuri R Thakar; Rohit Sharma
Journal:  Infect Drug Resist       Date:  2020-04-20       Impact factor: 4.003

8.  Commensal bacteria and fungi differentially regulate tumor responses to radiation therapy.

Authors:  Stephen L Shiao; Kathleen M Kershaw; Jose J Limon; Sungyong You; Junhee Yoon; Emily Y Ko; Jlenia Guarnerio; Alka A Potdar; Dermot P B McGovern; Shikha Bose; Tahir B Dar; Paul Noe; Jung Lee; Yuzu Kubota; Viviana I Maymi; Madison J Davis; Regina M Henson; Rachel Y Choi; Wensha Yang; Jie Tang; Matthew Gargus; Alexander D Prince; Zachary S Zumsteg; David M Underhill
Journal:  Cancer Cell       Date:  2021-07-29       Impact factor: 38.585

9.  Gut fungal dysbiosis correlates with reduced efficacy of fecal microbiota transplantation in Clostridium difficile infection.

Authors:  Tao Zuo; Sunny H Wong; Chun Pan Cheung; Kelvin Lam; Rashid Lui; Kitty Cheung; Fen Zhang; Whitney Tang; Jessica Y L Ching; Justin C Y Wu; Paul K S Chan; Joseph J Y Sung; Jun Yu; Francis K L Chan; Siew C Ng
Journal:  Nat Commun       Date:  2018-09-10       Impact factor: 14.919

10.  A Real Time PCR strategy for the detection and quantification of Candida albicans in human blood.

Authors:  Felipe Delatorre Busser; Vivian Caso Coelho; Claudia de Abreu Fonseca; Gilda Maria Barbaro Del Negro; Maria Aparecida Shikanai-Yasuda; Marta Heloisa Lopes; Marcello Mihailenko Chaves Magri; Vera Lucia Teixeira de Freitas
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2020-02-07       Impact factor: 1.846

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