Skip to main content
PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2020 Jan 15;14(1):e0007845. doi: 10.1371/journal.pntd.0007845

Madurella real-time PCR, a novel approach for eumycetoma diagnosis

Amir Arastehfar 1, Wilson Lim 2, Farnaz Daneshnia 1, Wendy W J van de Sande 2, Ahmed H Fahal 3, Marie Desnos-Ollivier 4, Gerrit S de Hoog 1,5, Teun Boekhout 1,6, Sarah A Ahmed 1,7,*
Editor: Gabriel Rinaldi8
PMCID: PMC6986762  PMID: 31940343

Abstract

The genus Madurella comprising four species, M. fahalii, M. mycetomatis, M. pseudomycetomatis, and M. tropicana, represents the prevalent cause of eumycetoma worldwide. The four species are phenotypically similar and cause an invariable clinical picture, but differ markedly in their susceptibility to antifungal drugs, and epidemiological pattern. Therefore, specific identification is required for optimal management of Madurella infection and to reveal proper epidemiology of the species. In this study, a novel multiplex real-time PCR targeting the four Madurella species was developed and standardized. Evaluation of the assay using reference strains of the target and non-target species resulted in 100% specificity, high analytical reproducibility (R2 values >0.99) and a lowest detection limit of 3 pg target DNA. The accuracy of the real-time PCR was further assessed using biopsies from eumycetoma suspected patients. Unlike culture and DNA sequencing as gold standard diagnostic methods, the real-time PCR yielded accurate diagnosis with specific identification of the causative species in three hours compared to one or two weeks required for culture. The novel method reduces turnaround time as well as labor intensity and high costs associated with current reference methods.

Author summary

Mycetoma, a progressive and disfiguring disease, is one of the neglected tropical diseases, caused by both bacteria and fungi. Eumycetoma is the fungal type and mainly caused by species of the genus Madurella. Madurella mycetomatis is the most prevalent species worldwide. However, other species such as M. fahalii, M. pseudomycetomatis, and M. tropicana can also cause mycetoma and have a different susceptibility towards the drug used for treating mycetoma patients. Currently, we lack a rapid and non-culture-based technique that can readily identify these four species from clinical samples. Due to its sensitivity, and specificity, real-time PCR is re-recognized by European Organization for Research and Treatment of Cancer (EORTC) to directly identify fungal agents from clinical samples. We developed and validated a multiplex real-time PCR-based technique using the least expensive chemistry to identify Madurella species within 3–4 hours. Development of such a technique will allow rapid diagnosis of eumycetoma and timely initiation of appropriate antifungal therapy.

Introduction

Mycetoma, a neglected tropical disease of the subcutaneous tissue, is characterized by progressive tumefaction and formation of grains and multiple draining sinuses, leading to massive soft tissue destruction and disfigurement [1, 2]. The chronic and disabling nature of mycetoma carries a significant economic and social burden to the inhabitants of the endemic areas in the tropics [2, 3]. In the presence of classical clinical features, i. e. sinuses in the skin and grain discharge, mycetoma can easily be recognized from other skin diseases, while proper diagnosis with identification of the etiologic agent requires a combination of diagnostic tools. Imaging, cytology, and histology are used to confirm the clinical diagnosis and to establish the extent and the nature of the agent, which is either a bacterium (actinomycetoma) or a fungus (eumycetoma) [4, 5]. However, due to the insufficient specificity, these methods do not allow conclusive diagnosis for which accurate identification of the causative pathogen is required [4].

Although, historically a limited number of species was reported to cause eumycetoma, the advent of molecular approaches enabled recognition of a plethora of novel agents [6]. Madurella as the most prevalent causative pathogen remains responsible for 70% of the eumycetoma cases in arid climate regions of Northeastern Africa and India [3, 7]. Madurella contains four species, viz. M. mycetomatis, which was described in 1905 and is the type species of the genus, and M. fahalii, M. pseudomycetomatis, and M. tropicana which were recognized after 2010 [8, 9]. Except for M. mycetomatis the commonly reported species worldwide, the epidemiology of the other Madurella remains as yet unknown. Madurella fahalii was described in 2012 from a eumycetoma patient in Sudan, a country that is highly endemic for mycetoma [8]. In Sudan, cases that show presence of black grains in histology or fine needle aspiration cytology are usually diagnosed as M. mycetomatis eumycetoma [6], but M. fahalii also causes infection with black grains. Since M. fahalii is not inhibited by itraconazole in vitro, it is crucial to be able to perform proper species identification [8]. Furthermore, occurrence of marked differences in antifungal susceptibility between Madurella species and other agents of black grain eumycetoma necessitate the development and implementation of a species-specific identification system [7, 10]. Correct identification will assist in the administration of appropriate antifungal therapy, and will help to elucidate the epidemiology and distribution of agents of eumycetoma.

Due to the lack of sporulation and other in vitro phenotypic characteristics in Madurella species, morphological assays have limited diagnostic value [4]. Alternatively, sequencing of ribosomal internal transcribed spacer (ITS) as the gold standard technique for species identification, and protein-based approaches such as Matrix-Assisted Laser Desorption Ionization-Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) are regarded as highly reliable identification tools [4, 11]. However, long turnaround time, high costs and the requirement for skilled laboratory staff interfere with establishment of sequencing and MALDI-TOF MS in developing countries. Rapid and sensitive isothermal amplification assays such as loop-mediated isothermal amplification (LAMP), rolling-circle amplification (RCA), and recombinase polymerase amplification (RPA) eliminated the need for culture and PCR machinery, but they lack the multiplexing capability [12, 13]. An appealing alternative can then be a real-time PCR assay.

Real-time PCR has become increasingly utilized in clinical diagnostics as one of the preferred assays for rapid diagnosis of fungal infection. The high sensitivity and the capability of detecting non-viable organisms are the significant advantages of these assays [14]. Besides, the detection of multiple targets in a single tube simultaneously has placed Real-time PCR on top of the diagnostic arsenal [14]. Herein, we developed a sensitive and specific SYBR-Green I-based real-time PCR assay that can specifically identify M. fahalii, M. mycetomatis, M. pseudomycetomatis, and M. tropicana. We also developed a sensitive and specific duplex qPCR assay for M. mycetomatis and M. fahalii and single-plex qPCR assay for M. mycetomatis. These assays allow reliable and rapid diagnosis of the main agents of eumycetoma and can be applied in clinical settings.

Methods

Ethics approval

This study was reviewed and approved by the Ethical Review Board of Soba University Hospital Ethical Committee (Khartoum, Sudan). Written informed consents were obtained from all patients and their data were processed anonymously to ensure confidentiality.

Strains

Strains used in this study were acquired from the CBS-KNAW reference collection of the Westerdijk Fungal Biodiversity Institute, The Netherlands; the Mycetoma Research Centre (MRC), Sudan; the Pasteur Collection of Fungi (UMIP), France; and the National Reference Center for Invasive Mycoses and Antifungals (NRCMA), France. In total 47 strains were included in this study (Table 1), of which 26 belonged to the genus Madurella, 9 to other members of the family Chaetomiaceae, 9 to black-grain mycetoma species in the order Pleosporales, 2 to Aspergillus and 1 Rhizopus species. Lyophilized, cryo-preserved or fresh mycelial material from the strains was inoculated onto Malt Yeast Extract agar (MEA, Oxoid, UK) plates and incubated for 2 to 3 weeks at temperature ranging 24–30°C.

Table 1. Strains used as the blind test set for the evaluation of analytical sensitivity and specificity of Madurella real-time PCR assay *.

Isolate Number Species Name Species Affiliation
1 CBS 332.67 Achaetomium globosum Sordariales, Chaetomiaceae
2 CBS 122.55 Aspergillus niger Eurotiales, Aspergillaceae
3 CBS 139335 Aspergillus flavus
4 CBS 487.48 Berkeleyomyces basicola Sordariales, Chaetomiaceae
5 CBS 731.71 Chaetomium homopilatum
6 CBS 178.84 Chaetomium murorum
7 CBS 813.73 Chaetomium succineum
8 CBS 414.73 Chaetomium variosporum
9 CBS 144164 Collariella causiiformis
10 CBS 132257 Falciformispora senegalensis Pleosporales, Trematosphaeriaceae
11 CBS 132272 Falciformispora senegalensis
12 CBS 196.79 Falciformispora senegalensis
13 CBS 200.79 Falciformispora tompkinsii
14 CBS 201.79 Falciformispora tompkinsii
15 CBS 129176 Madurella fahalii Sordariales, Chaetomiaceae
16 CBS 102793 Madurella fahalii
17 UMIP595.60 Madurella fahalii
18 CNRMA9.616 Madurella fahalii
19 CBS 132259 Madurella mycetomatis
20 CBS 132262 Madurella mycetomatis
21 CBS 132588 Madurella mycetomatis
22 CBS 132419 Madurella mycetomatis
23 CBS 132297 Madurella mycetomatis
24 CBS 110087 Madurella mycetomatis
25 CBS 132267 Madurella mycetomatis
26 CBS 132263 Madurella mycetomatis
27 CBS 132270 Madurella mycetomatis
28 CBS 132285 Madurella mycetomatis
29 CBS 110359 Madurella mycetomatis
30 CBS 109801 Madurella mycetomatis
31 CBS 132266 Madurella mycetomatis
32 CBS 248.48 Madurella pseudomycetomatis
33 CBS 102791 Madurella pseudomycetomatis
34 CBS 216.29 Madurella pseudomycetomatis
35 CBS 129177 Madurella pseudomycetomatis
36 CBS 217.55 Madurella pseudomycetomatis
37 CBS 331.50 Madurella tropicana
38 CBS 219.92 Madurella tropicana
39 CBS 201.38 Madurella tropicana
40 CBS 206.47 Madurella tropicana
41 CBS 252.60 Medicopsis romeroi Pleosporales, Neohendersoniaceae
42 CBS 132878 Medicopsis romeroi
43 CBS 391.34 Rhizopus delemar Mucorales, Rhizopodaceae
44 CBS 160.80 Thielavia subthermophila Sordariales, Chaetomiaceae
45 CBS 510.74 Thielavia subthermophila
46 CBS 332.50 Trematosphaeria grisea Pleosporales, Trematosphaeriaceae
47 CBS 246.66 Trematosphaeria grisea

*CBS, Centraalbureau voor Schimmelcultures; UMIP, Institute Pasteur Collection of Fungi; CNRMA, National Reference Center for Invasive Mycoses and Antifungals.

Clinical samples

Thirteen clinical samples obtained from patients seen at the MRC, Khartoum, Sudan were included in the study. The deep surgical biopsies were collected for diagnostic purposes; 11 biopsies showed black grain in the histological sections, while in two biopsies no grains were observed and therefore, we used them as negative controls. Both positive and negative biopsies were cultured on Sabouraud’s Glucose Agar (SGA) and the identity of the isolates was established by ITS sequencing. These clinical samples were retrospectively collected and in a context of a blind test set they were assigned with numerical code numbers (1–13). The assessor of the qPCR assay was not aware of the identity of DNA samples (for both DNA samples derived from pure cultures and those obtained from clinical samples).

DNA extraction

Strains were grown on 2% MEA or SGA plates and incubated for 2 weeks. Mycelia were harvested and DNA was extracted using cetyltrimethyl ammonium bromide (CTAB) and glass beads method as described previously by Moller et. al. [15]. The strains were then identified to species level by amplification and sequencing of the rDNA ITS and part of β-tubulin gene regions (S1 Fig).

Patient’s biopsies were maintained at −20°C in sterile physiological saline and the DNA was isolated using DNeasy Plant Mini Kit (Qiagen, Hilden, Germany) after bead-beating with 2 mm metal beads as described by Ahmed et al. [13].

Purity of extracted DNA was assessed using NanoDrop ND-1000 spectrophotometer (Thermo Fisher Scientific, Wilmington, USA) and on 1% agarose gels. In order to accurately measure the DNA concentration, samples were subjected to QuBit Broad Range kit (Thermo Fisher) that specifically binds and measures DNA molecules. Genome sizes of target species were calculated with the assumption that one ng DNA of C. albicans was equal to 100,000 genomes [16]. The size of the M. mycetomatis genome (36.7 Mbps) is approximately three times of that of C. albicans (14.28 Mbps). As a result, three ng of DNA of target species were considered to represent 100,000 genomes [17]. As the genome size of the remaining target species is unknown, the genome size as M. mycetomatis was considered for their genome number calculations.

Primer design

Sequences of ITS and β-tubulin from target and non-target species were retrieved from NCBI (www.ncbi.nlm.nih.gov) and CBS-KNAW databases (http://www.westerdijkinstitute.nl) and combined with the sequences obtained in this study. Alignment and primer design used the Geneious software (Biomatters ApS, Katrinebjerg, Denmark). Primers were placed in the most stable positions with the least and the highest degree of variation with target species and non-target species, respectively. Various features of primers including delta G and Tm values were evaluated by the online Oligo Analyzer software (eu.idtdna.com). UMelt software (https://www.dna.utah.edu/umelt/um.php) was used to assess the amplicon melt peaks generated by each primer pair. Primers meeting the following criteria were selected for specificity and sensitivity testing: a) Lack of cross-reaction with other target and non-target species, b) Minimum self and heterodimers, c) Melting temperature (Tm) values of 60–62°C, d) Generating amplicons with distinctive and single melt peaks in multiplex qPCR reactions, and e) Exhibiting satisfactory efficiency and R2 values. Primers that failed to amplify the DNA of target species or those showing Tm overlap with the other target and non-target species were excluded from this study (Table 2). Primers were manufactured by Integrated DNA Technology Company (IDT, Leuven, Belgium).

Table 2. List of designed primers in this study.

Some primers due to cross-reaction, Tm overlap with the other species, and lack of enough efficiency and R2 values were excluded. Primers with distinctive Tm values, reasonable efficiency and R2 values were selected for further experiments.

Successful primers Primer names Primer sequences Target species Loci
Myc-F3
Myc-R3
(PF3/R3-Myc)
CTCCCGGTAGTGTAGTGT*
CAGAAGACTCAGAGAGGCC
M. mycetomatis ITS
Fah-F1
Fah-R1
(PF/R-fahalii)
CATTGTGAACCTACCCAAAA
CATACAAAGTACAGGGTTTATGTA
M. fahalii ITS
Myc-F1
Myc-R1
GTTCGATGGCCTCCGCTG*
TTGCCCTGGAAAGGCCCTC
M. mycetomatis ß-tubulin
Myc-F2
Myc-R2
(PF2/R2-specific-Myc)
TGACCGTCGGCGTCTCTT
TAGGCTGTCAGAAAACACATCG
M. mycetomatis ß-tubulin
MPT-F
MPT-R
(PF/R-Universal)
GTGTCGGGAACTGACGAGG
CCTTGCTGGCCCTTTGC
M. pseudomycetomatis,
M. tropicana
M. mycetomatis

ß-tubulin
Failed primers Mad-UniF
Mad-UniR
CCATTGTGAACCTACCCAA
CAGAGACTCAGAGAGGCC
M. pseudomycetomatis,
M. tropicana
M. mycetomatis
M. fahalii

ITS
MPT-F1
MPT-R1
TTGTGAACCTACCCAAAAAA
AGCAAACAGGGTGTTGTATAAT
M. pseudomycetomatis,
M. tropicana
M. mycetomatis

ITS
MPT-F
Myc-R0
Pse-R2
Tropi/fah-R2
CCCCGAGCGTAGTAGTTA
GGGGTAAAAATGAGTTGGGC
AACCTTGGGGGGGTAAT
AACCTTGGGGTAAWGGGT
M. pseudomycetomatis,
M. tropicana
M. mycetomatis
M. fahalii

ITS

qPCR conditions

PCR reaction was set up to a final volume of 20 μl and contained the following ingredients: 10μl PowerUp SYBR Green master mix (A25742 Thermo Fisher), 5 pMol primers (PF3/R3-Myc and PF/R-Fahalii for a duplex qPCR reaction, PF/R-universal and PF/R-Fahalii for tetraplex qPCR reaction, and PF/R-specific Myc for M. mycetomatis-specific qPCR reaction), 3 ng of DNA (1 μl), and MilliQ water to adjust the volume to 20 μl.

PCR reactions were performed using an ABI 7500 fast PCR device (Thermo Fisher) and the following PCR program was used: one cycle of 50°C for 2 min and 95°C for 3 min, followed by 40 cycles of 95°C for 15 sec and 60°C for 30 sec. Upon finishing the PCR program, PCR products were subjected to a melt curve analysis program that used an increment of 0.5°C/sec starting at 60°C and terminated at 95°C. The data obtained from qPCR were analyzed by ABI 7500 Software V2.3 (Thermo Fisher).

Specificity and sensitivity

In order to measure the sensitivity of qPCR assays, serial dilutions were prepared of DNA samples of the type strain; M. fahalii (CBS 129176), M. mycetomatis (CBS 109801), M. pseudomycetomatis (CBS 129177), and M. tropicana (CBS 201.38), with a log10 over four orders of magnitude starting at 3 ng and ending at 3 pg genomes. This experiment was performed in duplicate and on three consecutive days.

To test specificity, a blinded test set containing 47 isolates (M. fahalii, n = 4, M. mycetomatis, n = 13, M. pseudomycetomatis, n = 5, M. tropicana, n = 4, and 21 non-target species) was subjected to the duplex, tetraplex, and M. mycetomatis-specific (MM-specific) qPCR assays (Table 1).

Primers passing both sensitivity and specificity experiments were selected for the next step of testing DNA samples obtained from patients (Tables 2 and 3). Cycle thresholds were adjusted in such a way that they could differentiate target from non-target species.

Table 3. Primers designed in this study and lead to successful identification of target species*.

Primer name Primer sequence Target species Melting temperature PCR product size LOD (Genome) Efficiency (%) R2 values
PF/R-Universal GTGTCGGGAACTGACGAGG
CCTTGCTGGCCCTTTGC
M. mycetomatis
M. pseudomycetomatis
M. tropicana
84.17±0.19°C
83.07±0.13°C
83.6±0.09°C
95 bps
95 bps
95 bps
100
100
100
99.5%
94.18%
93.4%
0.991
0.996
0.997
PF/R-fahalii CATTGTGAACCTACCCAAAA
CATACAAAGTACAGGGTTTATGTA
M. fahalii 89.13±0.41°C 116 bps 100
70% 0.983
PF2/R2-specific-Myc TGACCGTCGGCGTCTCTT
TAGGCTGTCAGAAAACACATCG
M. mycetomatis 84.91±0.18°C 166 bps 100 96.5% 0.997
PF3/R3-Myc CTCCCGGTAGTGTAGTGT
CAGAAGACTCAGAGAGGCC
M. mycetomatis 84.1±0.19°C 99 bps 100 90% 0.99

*LOD, Limit of Detection.

Evaluation of performance of qPCR assays with patients’ DNA samples

DNA samples of 13 patient biopsies were prepared in a blinded manner and used to assess the performance of our qPCR assays. One microliter of those DNA samples was subjected to duplex, tetraplex, and M. mycetomatis-specific qPCR reactions.

Statistical analysis

Statistical analysis and graph preparations were performed by GraphPad Prism software (La Jolla, California, USA). Concordance between the qPCR and the gold standard method (culture and sequencing) was evaluated using kappa test and expressed as K value.

Results

Standardization of the qPCR assay

Initially, the ITS sequence was utilized as a target locus for designing species-specific and universal primers. Only PF3/R3-Myc targeting M. mycetomatis (84.1±0.18°C) and PF-R-Fahalii targeting M. fahalii (89.13±0.41°C) resulted in successful specific and distinguishable melt curves (Tables 2 and 3 and Fig 1A). These two primers were then used to optimize duplex qPCR that can specifically detect M. mycetomatis and M. fahalii. Since universal primers based on ITS failed in specific identification of the four target species, the β-tubulin gene was used for the same purpose. A universal primer pair derived from β-tubulin successfully resulted in distinctive melting temperatures of 83.07±0.13°C, 83.6±0.09°C, and 84.17±0.19°C and allowing distinction of three target species, viz. M. pseudomycetomatis, M. tropicana, and M. mycetomatis, respectively. Madurella fahalii could not be distinguished with this set of primers. In order to make a comprehensive multiplex qPCR that can unambiguously identify all four species, primer set PF/R-Fahalii derived from ITS was added to the β-tubulin universal primers in the same reaction (Fig 1B, Tables 2 and 3). Using this combination, four distinct melting peaks corresponding to the four target species were revealed.

Fig 1. Identification of Madurella species using qPCR assay.

Fig 1

(A) Identification of M. fahalii and M. mycetomatis using duplex qPCR assay. (B) Identification of all target species using a tetraplex qPCR assay. (C) Identification of M. mycetomatis using a M. mycetomatis-specific qPCR assay.

In order to develop a specific qPCR for M. mycetomatis, two more primer pairs based on β-tubulin with an increased difference of melting temperature from the closest species in the multiplex PCR were designed. These primers generated amplicons with Tm values of 84.5±0.1°C (Myc-F1/R1) and 84.9±0.18°C (Myc-F2/R2) (Fig 1C, Tables 2 and 3). Despite successful amplification of M. mycetomatis using both primers, MycF2/R2 was used for the M. mycetomatis-specific qPCR as it showed a higher and more distinguishable Tm value from M. pseudomycetomatis and M. tropicana. In general, primers that were designed based on β-tubulin showed a higher rate of success than those based on the ITS region, which might be due to a higher GC content of the target region of the latter.

In the next step, in view of sensitivity testing all three qPCR reactions were subjected to serially diluted DNA samples (3 ng–3 pg) of target species. Sensitivity testing revealed that M. mycetomatis, M. pseudomycetomatis, and M. tropicana were successfully and efficiently amplified with an efficiency of ≥90% and the R2 values >0.99; for M. fahalii the efficiency was 70%. Moreover, 3 pg DNA of all target species were successfully detected and distinguished by the three qPCR assays.

A high degree of specificity was confirmed by blinded DNA samples obtained from cultures

In the third phase, successful qPCR reactions were challenged by a blinded test set that contained 26 target and 21 non-target species isolates. Our duplex qPCR assay resulted in 100% specificity when the threshold for M. mycetomatis and M. fahalii were set at Ct value of <20 and <38, respectively (Figs 2 and S2). Some of the non-target species yielded melting curves similar to that of M. fahalii with Ct values>38, therefore Ct values <38 and >38 were considered as positive and negative for this species, respectively. Ct values of <30 yielded 100% specificity for the tetraplex and M. mycetomatis-specific qPCR assays (Fig 3). As the primer sets Pf/R-Fahalii were used in both duplex and tetraplex qPCR assays, the same Ct value (<38) was considered for both qPCR reactions. Receiver operation characteristics curves (ROC) showed that with the established threshold cycle values, 100% specificity was obtained for the three qPCR assays (Fig 4).

Fig 2. Specificity of duplex qPCR assay of M. fahalii and M. mycetomatis.

Fig 2

(A) Tm values obtained from duplex qPCR assay for M. fahalii and M. mycetomatis. (B) Duplex qPCR assay with a blinded test set and DNA samples obtained from patients yielded 100% specificity and sensitivity if the threshold cycles were set at<20 (red line), and <30 (blue line), respectively.

Fig 3. Specificity and sensitivity of singleplex and tetraplex qPCR assays of Madurella species.

Fig 3

(A) Tm values obtained from tetraplex and M. mycetomatis-specific qPCR assays for M. fahalii, M. mycetomatis, M. pseudomycetomatis, and M. tropicana. (B) Tetraplex and MM-specific qPCR with a blinded test set and DNA samples obtained from patients yielded 100% specificity and sensitivity if the threshold cycles <30 (red line).

Fig 4. Receiver operation characteristic curve (ROC) obtained for the three qPCR assays revealed 100% specificity when subjected to blinded test sets.

Fig 4

A high degree of sensitivity and specificity was confirmed by blind DNA samples obtained from patients

Following success in sensitivity and specificity testing, accepted primers were evaluated by 13 DNA samples obtained from documented M. mycetomatis-positive and negative patients. In accordance with histology, culture and ITS sequencing, both 11 positive and the 2 negative patients were successfully identified by our qPCR assays within 3 hours starting from DNA isolation (Figs 2, 3 and S2). The kappa test revealed a K value of 1.00 (95% CI 1.00 to 1.00) which indicates perfect agreement. The diagnostic sensitivity and specificity of the qPCR assays were 100% (95% CI, 71.51% to 100%) and 100% (95% CI, 15.81% to 100%), respectively.

Discussion

In the present study, we developed the first multiplex real-time PCR assay that is able to detect and identify the four currently accepted Madurella species, viz. M. fahalii, M. mycetomatis, M. pseudomycetomatis, and M. tropicana. As the real-time PCR is one of the fastest methods available for diagnosis of fungal infections [18], we herewith provide a rapid, sensitive, and specific diagnostic assay for eumycetoma caused by Madurella species. Currently, the only available tool to ascertain the species identity in Madurella is by application of sequencing rDNA ITS and protein-coding genes such as ß-tubulin and RNA polymerase II subunit [8, 19]. Since these markers showed optimal performance in previous studies, we designed our universal and species-specific primers based on the ITS and the ß-tubulin gene sequences of the target species [12, 13, 20]. The utility of the ITS for species-specific PCR identification of Madurella has previously been described by Ahmed et al. [20], who designed the first species-specific primers for identification of M. mycetomatis. In addition, specific LAMP and RPA primers have also been developed for the same species using the ITS region [13]. Despite the good discriminatory power of ITS, our universal primers based on this region could not sufficiently identify the four target species. Therefore, as a first step, a set of primers specific for detection of only M. mycetomatis and M. fahalii and based on the ITS region were designed. This primer set can be used in areas where these two species are preponderant, such as in Sudan, which is one of the hyperendemic regions with mycetoma, and in 70% of the cases the causative agent has been conventionally identified as M. mycetomatis [4, 21].

In order to develop a single assay that can be used to detect all four Madurella species, we designed another set of universal and species-specific primers based on the ß-tubulin region. When this set was combined with M. fahalii specific ITS primers, an optimal result was obtained. Our multiplex qPCR assay yielded 100% specificity with a blind test set containing the most closely- and distantly-related species to Madurella [22]. To further evaluate the diagnostic performance and prove that the assay is capable of identifying the target species in clinical specimens, 13 blinded DNA samples derived from M. mycetomatis-positive (n = 11) and negative patients (n = 2) were subjected to our qPCR assay. The result showed 100% diagnostic sensitivity and specificity, as successful differentiation of positive and negative patients and specific identification of the causative agent was achieved.

Although culture is regarded as the gold standard in the field of medical mycology, this technique greatly suffers from lack of specificity and is time-consuming [23]. Apart from these factors, in order to obtain positive results for Madurella agents, culture requires viable grains, while our qPCR due to exhibiting a high degree of sensitivity and specificity can be applied on discharge samples that contain non-viable grains, hence, it may not require invasive procedures for obtaining sterile samples [4,24].

Despite the wide use in the field of diagnostics, as yet, no real-time PCR assay has been developed for diagnosis of eumycetoma agents. The technique has mainly been used for systemic fungal pathogens like Candida and Aspergillus [25]. Lu et al. [26] and Castelli et al. [27] developed real-time PCR for detection of Scedosporium species, a fungus which is frequently found as a colonizer in the lung of cystic fibrosis patient but also can cause white grain eumycetoma in rare cases [28]. The real-time PCR developed by Lu et al. was based on ß-tubulin as a target for species identification [26]. However, using this marker, the authors were unable to distinguish the six species concerned, which could be due to the uncertain taxonomic status of strains of respective species in this genus, as nowadays S. apiospermum and S. boydii are referred to as ‘S. apiospermum species complex’ [28].

Elhassan et al. [29] evaluated the use of real-time PCR for identification of clinical isolates from actinomycetoma patients using strb-1 as a target gene. The study represents the first application of real-time PCR for diagnosis of actinomycetoma in an endemic region. Streptomyces species were identified in 7 samples from patients originating from Sudan [29].

Only recently, culture-free diagnostic tests have been introduced for black grain eumycetoma diagnosis [13,30]. This was previously hampered by the great difficulty in obtaining pure DNA from the compact grains. Ahmed et al. [13] described an efficient DNA isolation method using bead beating with metal beads. Combining this DNA isolation method with our real-time PCR assay resulted in a rapid and specific diagnosis of target species. Despite the fact that other PCR/isothermal-based technologies have been used for direct detection of Madurella as well, these are all single-plex assays [13]. Furthermore, the species-specific PCR-RFLP technique developed by Ahmed et al. for M. mycetomatis detection requires application of specific restriction enzymes which is time-consuming, laborious, costly, and even opening tubes increases the risk of cross contamination [20]. In contrast, our qPCR is multiplex and performs the assay in a gel-independent and closed-tube manner, and as a result, it minimizes the chance of cross-contamination and false-positive results.

Fraser et al. [11] in 2017 developed a MALDI-TOF MS library that successfully identified 13 M. mycetomatis and 2 M. fahalii. This method, however, similar to Sanger sequencing, requires a costly purchase and maintenance that prevents their implementation in low-resource countries. Moreover, they are culture-dependent and thus time-consuming. Although the high capital equipment costs and the requirement for well-trained laboratory staff might also limit the use of real-time PCR in resource-limited regions endemic with mycetoma, nevertheless it is still simpler and faster than culture and DNA sequencing or MALDI-TOF. The affordability, reproducibility, and construction of home-made robust PCR machines using the most basic off-the-shelf appliance are the appealing features that will allow this machinery to find its niches even in developing countries. In our qPCR we used SYBR-Green I which is currently the cheapest option for such a technique.

In conclusion, we have developed a rapid and accurate diagnostic assay that is able to simultaneously identify M. fahalii, M. mycetomatis, M. pseudomycetomatis, and M. tropicana. The assay can be used in both culture-dependent and -independent manners. The study had some limitations, including that our qPCR assays were not evaluated with the clinical samples infected with other Madurella agents due to the unavailability of such material. Therefore, screening a larger number of patient biopsies and direct discharges from different endemic regions are warranted to reveal the real performance of the assay. Despite those limitations, the high sensitivity, specificity and short turnaround time represent a significant advantage of this method.

Supporting information

S1 Fig. Amplification of ITS region of Madurella species.

PCR amplification of ITS region of the four Madurella species using primers V9G and LS266. Lane M, DNA ladder; lane 1and 2, M. fahalii; lane 3 and 4, M. tropicana; lane 5 and 6, M. pseudomycetomatis; Lane 7–10 M. mycetomatis; Lane 11, negative control.

(TIF)

S2 Fig. Standards for Reporting of Diagnostic Accuracy (STARD) flow chart of Madurella real-time PCR.

(TIF)

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

Amir Arastehfar received grants from European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 642095. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

References

  • 1.McGinnis MR. Mycetoma. Dermatol Clin. 1996;14:97–104. 10.1016/s0733-8635(05)70329-6 [DOI] [PubMed] [Google Scholar]
  • 2.Zijlstra EE, van de Sande WWJ, Welsh O, Mahgoub ES, Goodfellow M, Fahal AH. Mycetoma: a unique neglected tropical disease. Lancet Infect Dis. 2016;16:100–112. 10.1016/S1473-3099(15)00359-X [DOI] [PubMed] [Google Scholar]
  • 3.Fahal A, Mahgoub el S, El Hassan AM, Abdel-Rahman ME. Mycetoma in the Sudan: an update from the Mycetoma Research Centre, University of Khartoum, Sudan. PLoS Negl Trop Dis. 2015;9:e0003679 10.1371/journal.pntd.0003679 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.van de Sande WW, Fahal AH, Goodfellow M, Mahgoub el S, Welsh O, Zijlstra EE. Merits and pitfalls of currently used diagnostic tools in mycetoma. PLoS Negl Trop Dis. 2014;8:e2918 10.1371/journal.pntd.0002918 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Emmanuel P, Dumre SP, John S, Karbwang J, Hirayama K. Mycetoma: a clinical dilemma in resource limited settings. Ann Clin Microbiol Antimicrob. 2018;17:35 10.1186/s12941-018-0287-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ahmed S. New insights into a disfiguring fungal disease, eumycetoma. University of Amsterdam; 2016. Available from: https://dare.uva.nl/search?identifier = 88073f66-b9f8-4fa7-a04c-2a25700b49a7. [Google Scholar]
  • 7.Ahmed AO, van Leeuwen W, Fahal A, van de Sande W, Verbrugh H, van Belkum A. Mycetoma caused by Madurella mycetomatis: a neglected infectious burden. Lancet Infect Dis. 2004;4:566–574. 10.1016/S1473-3099(04)01131-4 [DOI] [PubMed] [Google Scholar]
  • 8.de Hoog GS, van Diepeningen AD, Mahgoub el S, van de Sande WW. New species of Madurella, causative agents of black-grain mycetoma. J Clin Microbiol. 2012; 50: 988–994. 10.1128/JCM.05477-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yan J, Deng J, Zhou CJ, Zhong BY, Hao F. Phenotypic and molecular characterization of Madurella pseudomycetomatis sp. nov., a novel opportunistic fungus possibly causing black-grain mycetoma. J Clin Microbiol. 2010;48:251–257. 10.1128/JCM.00018-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Ahmed SA, de Hoog GS, Stevens DA, Fahal AH, van de Sande WW. In vitro antifungal susceptibility of coelomycete agents of black grain eumycetoma to eight antifungals. Med Mycol. 2015;53:295–301. 10.1093/mmy/myu098 [DOI] [PubMed] [Google Scholar]
  • 11.Fraser M, Borman AM, Johnson EM. Rapid and robust identification of the agents of black-grain mycetoma by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry. J Clin Microbiol. 2017;55:2521–2528. 10.1128/JCM.00417-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ahmed SA, Gerrits van den Ende AHG, Fahal AH, van de Sande WW, de Hoog GS. Rapid identification of black grain eumycetoma causative agents using rolling circle amplification. PLoS Negl Trop Dis. 2014;8:e3368 10.1371/journal.pntd.0003368 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ahmed SA, van de Sande WW, Desnos-Ollivier M, Fahal AH, Mhmoud NA, de Hoog GS. Application of isothermal amplification techniques for identification of Madurella mycetomatis, the prevalent agent of human mycetoma. J Clin Microbiol. 2015;53:3280–3285. 10.1128/JCM.01544-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Khot PD, Fredricks DN. PCR-based diagnosis of human fungal infections. Expert Rev Anti Infect Ther. 2009;7:1201–21. 10.1586/eri.09.104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Moller EM, Bahnweg G, Sandermann H, Geiger HH. A simple and efficient protocol for isolation of high-molecular-weight DNA from filamentous fungi, fruit bodies, and infected-plant tissues. Nucleic Acids Res. 1992;20:6115–6116. 10.1093/nar/20.22.6115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Loeffler J, Henke N, Hebart H, Schmidt D, Hagmeyer L, Schumacher U. Quantification of fungal DNA by using fluorescence resonance energy transfer and the Light Cycler system. J Clin Microbiol. 2000;38:586–590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Smit S, Derks MF, Bervoets S, Fahal A, van Leeuwen W, van Belkum A. Genome sequence of Madurella mycetomatis mm55, isolated from a human mycetoma case in Sudan. Genome Announc 42016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Horvath A, Peto Z, Urban E, Vagvolgyi C, Somogyvari F. A novel, multiplex, real-time PCR-based approach for the detection of the commonly occurring pathogenic fungi and bacteria. BMC Microbiol. 2013;13:300 10.1186/1471-2180-13-300 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.de Hoog GS, Adelmann D, Ahmed AO, van Belkum A. Phylogeny and typification of Madurella mycetomatis, with a comparison of other agents of eumycetoma. Mycoses. 2004;47:121–130. 10.1111/j.1439-0507.2004.00964.x [DOI] [PubMed] [Google Scholar]
  • 20.Ahmed AO, Mukhtar MM, Kools-Sijmons M, Fahal AH, de Hoog S, Gerrits van den Ende AHG, et al. Development of a species-specific PCR-restriction fragment length polymorphism analysis procedure for identification of Madurella mycetomatis. J Clin Microbiol. 1999;37:3175–3178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.van de Sande WW. Global burden of human mycetoma: a systematic review and meta-analysis. PLoS Negl Trop Dis. 2013;7:e2550 10.1371/journal.pntd.0002550 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.de Hoog GS, Ahmed SA, Najafzadeh MJ, Sutton DA, Keisari MS, Fahal AH, et al. Phylogenetic findings suggest possible new habitat and routes of infection of human eumyctoma. PLoS Negl Trop Dis. 2013;7:e2229 10.1371/journal.pntd.0002229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wickes BL, Wiederhold NP. Molecular diagnostics in medical mycology. Nat Commun. 2018;9:5135 10.1038/s41467-018-07556-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Elhag IA, Fahal AH, Gasim ET. Fine needle aspiration cytology of mycetoma. Acta Cytol. 1996;40:461–464. 10.1159/000333899 [DOI] [PubMed] [Google Scholar]
  • 25.Klingspor L, Jalal S. Molecular detection and identification of Candida and Aspergillus spp. from clinical samples using real-time PCR. Clin Microbiol Infect. 2006; 12(8): 745–753. 10.1111/j.1469-0691.2006.01498.x [DOI] [PubMed] [Google Scholar]
  • 26.Lu Q, Gerrits van den Ende AHG, Bakkers JM, Sun J, Lackner M, Najafzadeh MJ, et al. Identification of Pseudallescheria and Scedosporium species by three molecular methods. J Clin Microbiol. 2011;49:960–967. 10.1128/JCM.01813-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Castelli MV, Buitrago MJ, Bernal-Martinez L, Gomez-Lopez A, Rodriguez-Tudela JL, Cuenca-Estrella M. Development and validation of a quantitative PCR assay for diagnosis of scedosporiosis. J Clin Microbiol. 2008;46:3412–3416. 10.1128/JCM.00046-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lackner M, de Hoog GS, Yang LY, Moreno LF, Ahmed SA, Andreas F, et al. Proposed nomenclature for Pseudallescheria, Scedosporium and related genera. Fungal Divers. 2014;67:1–10. [Google Scholar]
  • 29.Elhassan MM. Real-time PCR based assay for the detection of the actinomycetoma among suspected patients in Sudan. J Glob Bio. 2017;6:4727–4732. [Google Scholar]
  • 30.van de Sande W, Fahal A, Ahmed SA, Serrano JA, Bonifaz A, Zijlstra E, et al. Closing the mycetoma knowledge gap. Med Mycol. 2017;56:153–164. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

S1 Fig. Amplification of ITS region of Madurella species.

PCR amplification of ITS region of the four Madurella species using primers V9G and LS266. Lane M, DNA ladder; lane 1and 2, M. fahalii; lane 3 and 4, M. tropicana; lane 5 and 6, M. pseudomycetomatis; Lane 7–10 M. mycetomatis; Lane 11, negative control.

(TIF)

S2 Fig. Standards for Reporting of Diagnostic Accuracy (STARD) flow chart of Madurella real-time PCR.

(TIF)

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files.


Articles from PLoS Neglected Tropical Diseases are provided here courtesy of PLOS

RESOURCES