Literature DB >> 31618264

Lack of detection of Candida nivariensis and Candida bracarensis among 440 clinical Candida glabrata sensu lato isolates in Kuwait.

Mohammad Asadzadeh1, Ahlam F Alanazi1, Suhail Ahmad1, Noura Al-Sweih1, Ziauddin Khan1.   

Abstract

Occurrence of Candida nivariensis and Candida bracarensis, two species phenotypically similar to Candida glabrata sensu stricto, in human clinical samples from different geographical settings remains unknown. This study developed a low-cost multiplex PCR (mPCR) and three species-specific singleplex PCR assays. Reference strains of common Candida species were used during development and the performance of mPCR and singleplex PCR assays was evaluated with 440 clinical C. glabrata sensu lato isolates. The internal transcribed spacer (ITS) region of rDNA was also sequenced from 85 selected isolates and rDNA sequence variations were used for determining genetic relatedness among the isolates by using MEGA X software. Species-specific amplicons for C. glabrata (~360 bp), C. nivariensis (~250 bp) and C. bracarensis (~180 bp) were obtained in mPCR while no amplicon was obtained from other Candida species. The three singleplex PCR assays also yielded expected results with reference strains of Candida species. The mPCR amplified ~360 bp amplicon from all 440 C. glabrata sensu lato isolates thus identifying all clinical isolates in Kuwait as C. glabrata sensu stricto. The results of mPCR were confirmed for all 440 isolates as they yielded an amplicon only in C. glabrata sensu stricto-specific singleplex PCR assay. The rDNA sequence data identified 28 ITS haplotypes among 85 isolates with 18 isolates belonging to unique haplotypes and 67 isolates belonging to 10 cluster haplotypes. In conclusion, we have developed a simple, low-cost mPCR assay for rapid differentiation of C. glabrata sensu stricto from C. nivariensis and C. bracarensis. Our data obtained from a large collection of clinical C. glabrata sensu lato isolates show that C. nivariensis and C. bracarensis are rare pathogens in Kuwait. Considerable genetic diversity among C. glabrata sensu stricto isolates was also indicated by rDNA sequence analyses.

Entities:  

Year:  2019        PMID: 31618264      PMCID: PMC6795469          DOI: 10.1371/journal.pone.0223920

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Candida spp. are identified as the fourth most frequent cause of bloodstream infections in hospitalized patients and third common cause of central-line associated bloodstream infections in patients admitted to intensive care units (ICUs) [1, 2]. Invasive candidiasis is associated with mortality rates of ~50% [1, 2]. Nearly 90% of Candida infections are caused by only four species/species complexes comprising Candida albicans, Candida glabrata, Candida parapsilosis and Candida tropicalis [3]. Although C. albicans is the most commonly isolated species, >50% of all Candida infections are now caused by non-albicans species of Candida [2, 4–6]. Candida glabrata sensu stricto has emerged as the second or third most frequently isolated Candida species from patients with bloodstream, vulvovaginal and oral infections [2, 6–8]. The emergence of C. glabrata as a major cause of invasive fungal infections is worrisome due to high mortality rates associated with these infections, particularly in immunocompromised elderly patients requiring major surgery and neutropenic patients [2, 9]. The higher mortality rates have been attributed to the intrinsic and/or rapidly acquired resistance of C. glabrata to extended-spectrum triazoles, particularly fluconazole, as a consequence of widespread use of these relatively safer antifungal drugs and the haploid nature of this organism [9-12]. Although echinocandins are now preferred as first-line agents for treatment of invasive Candida infections [13], resistance to echinocandins in Candida spp. has also appeared in recent years and breakthrough invasive C. glabrata infections have been reported in patients on micafungin therapy [6, 14–19]. Resistance to polyenes has also been described in clinical C. glabrata isolates [20-24]. A multidrug-resistant C. glabrata phenotype (resistant to azoles and echinocandins) occurring in ICU and non-ICU settings has also been noted in recent years [25, 26]. Two other closely related species: Candida nivariensis and Candida bracarensis, with similar niches in humans, share many phenotypic characteristics with C. glabrata sensu stricto. Candida nivariensis and C. bracarensis are usually misidentified as C. glabrata based on phenotypic identification methods alone and are generally less susceptible to azoles and amphotericin B [9, 27–30]. Accurate species-specific identification of all clinical C. glabrata sensu lato isolates is thus warranted. The three species belonging to C. glabrata complex can be accurately identified only by molecular methods including matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) [9, 30, 31]. The occurrence of C. nivariensis and C. bracarensis among phenotypically identified clinical C. glabrata sensu lato isolates from different geographical settings remains unknown. This study developed a simple, low-cost multiplex PCR (mPCR) assay for rapid detection and differentiation of C. nivariensis and C. bracarensis from C. glabrata sensu stricto isolates. Furthermore, three species-specific singleplex PCR assays were also developed and the protocols were tested on a large collection of Candida glabrata sensu lato isolates obtained from various clinical specimens in Kuwait. The internal transcribed spacer (ITS) region of rDNA was also sequenced and rDNA sequence variations were used for determining genetic relatedness among selected isolates.

Materials and methods

Reference strains and clinical isolates

Reference strains or well characterized clinical isolates of C. glabrata sensu stricto (ATCC 90030 and CBS 138), C. nivariensis (CBS 9983), C. bracarensis (CBS 10154), C. albicans (ATCC 76615), C. parapsilosis (ATCC 22019), C. tropicalis (ATCC 750) and C. dubliniensis (CBS 7987), C. lusitaniae (CBS 4413), C. guilliermondii (CBS 6021), C. kefyr (ATCC 28838), C. famata (CBS 796), Saccharomyces cerevisiae (Kw1336/19) and Trichosporon asahii (Kw1728/19) were used as reference Candida or other yeast species. The clinical isolates used in this study were obtained from different specimens, including blood samples, from patients after obtaining verbal consent at various hospitals across Kuwait. The isolation and identification of fungal pathogens was performed as part of routine patient care and diagnostic work-up. The results obtained from the clinical isolates used in this study are presented on deidentified samples. The clinical isolates were initially identified at the hospital microbiology laboratory as C. glabrata sensu lato by the Vitek2 yeast identification system (bioMerieux, Marcy-lEtoile, France). The cultured isolates were sent to Mycology Reference Laboratory (MRL), Department of Microbiology, Faculty of Medicine, Kuwait University for further identification and antifungal susceptibility testing. A total of 440 C. glabrata sensu lato isolates, collected during 2006 to 2015, were randomly selected from the stock cultures maintained at MRL for this study. The clinical specimens yielding 440 C. glabrata sensu lato isolates used in this study are listed in S1 Table.

Phenotypic identification

All 440 C. glabrata sensu lato isolates, initially identified by Vitek2 ID-YST system (bioMerieux, Marcy-lEtoile, France) were grown on CHROMagar Candida (Becton Dickinson, Bootle, UK) for phenotypic identification and the results were interpreted according to manufacturer’s instructions. The typical pink color of C. glabrata sensu stricto and white color of C. nivariensis and C. bracarensis [30] was used for species-specific identification of these isolates.

Template DNA preparation and molecular identification

The genomic DNA from reference strains and clinical C. glabrata sensu lato isolates was extracted by using Gentra Puregene Yeast DNA extraction kit (Qiagen, Hilden Germany) according to kit instructions or by the rapid boiling method using Chelex-100 as described previously [32]. A simple, low-cost mPCR assay was developed for rapid molecular identification of C. glabrata sensu stricto, C. nivariensis and C. bracarensis isolates. For this purpose, three different forward primers targeting specific sequences within ITS-1 region of rDNA of the three species and one common reverse primer targeting 5.8S rRNA gene were synthesized (S2 Table). The primer sequences were selected based on multiple sequence alignment of ITS region sequences of multiple strains of all commonly encountered Candida species that are available from the GenBank. The mPCR should yield amplicons of ~360 bp, ~250 bp and ~180 bp (due to slight variations in the length of ITS region of rDNA) from C. glabrata sensu stricto, C. nivariensis and C. bracarensis respectively, while no amplicon is expected from other Candida or other yeast species. The species specificity of the combination of forward primers mCGLF, mCNIF and mCBRF together with a common reverse primer (mCGCR) for C. glabrata sensu stricto, C. nivariensis and C. bracarensis, respectively, was also indicated by BLAST searches (http://blast.ncbi.nlm.nih.gov/Blast.cgi?). The mPCR amplification was performed in a final volume of 50 μl containing 1x AmpliTaq DNA polymerase buffer I and 1 unit of AmpliTaq DNA polymerase (Applied Biosystems, Brachburg, NJ, USA), 10 pmol of mCGLF, mCNIF, mCBRF and mCGCR primers, 2 μl of template DNA and 100 μM of each dNTP. Cycling conditions included an initial denaturation at 95°C for 5 min followed by 30 cycles of 95°C for 1 min, 52°C for 30 s and 72°C for 1 min and a final extension at 72°C for 10 min. PCR products (20 μl) were run on 2% (w/v) agarose gels, as described previously [33].

Primer design for three species-specific singleplex PCR assays

The results of mPCR were confirmed for all isolates by developing three species-specific singlelex PCR assays. For this purpose, three pairs of forward and reverse primers, each pair specific for C. glabrata sensu stricto, C. nivariensis or C. bracarensis were designed (S2 Table). Again, primer sequences were selected based on multiple sequence alignment of ITS region sequences of multiple strains of common Candida species available from the GenBank. Primers CGLF + CGLR, CNIF + CNIR and CBRF + CBRR should yield amplicons of ~360 bp, ~288 bp and ~299 bp (due to slight variations in the length of ITS region of rDNA) from C. glabrata sensu stricto, C. nivariensis and C. bracarensis, respectively, while no amplicon is expected from other Candida or other yeast species. The species specificity of CGLF + CGLR, CNIF + CNIR and CBRF + CBRR primer pairs for C. glabrata sensu stricto, C. nivariensis and C. bracarensis, respectively, was also indicated by BLAST searches (http://blast.ncbi.nlm.nih.gov/Blast.cgi?). PCR amplification was performed and the amplicons were detected as described above except that CGLF + CGLR or CNIF + CNIR or CBRF + CBRR primer pairs were used.

PCR-sequencing of ITS region of rDNA and identification of major ITS haplotypes

The ITS region of rDNA was amplified by using panfungal ITS1 and ITS4 primers and the amplicons were sequenced by using internal sequencing (ITS1FS, ITS2, ITS3 or ITS4RS) primers, as described previously [34, 35]. The ITS region sequence for each isolate was assembled and used for BLAST searches (http://blast.ncbi.nlm.nih.gov/Blast.cgi?). Sequence identity >99% with the corresponding sequence from reference strains of Candida species was used for species identification. The genotypic relationship among the isolates was studied by comparing ITS region sequences. Pairwise comparisons and multiple sequence alignments were performed with CLUSTAL W2. Phylogenetic tree was constructed with MEGA software version X using the neighbor-joining method with pair-wise deletion of gaps option and the maximum composite likelihood model and the robustness of tree branches was assessed by bootstrap analysis with 1,000 replicates, as described previously [36].

Results

Phenotypic identification of C. glabrata complex isolates

The reference strains of C. glabrata sensu stricto (ATCC 90030), C. nivariensis (CBS 9983) and C. bracarensis (CBS 10154) yielded purple, white and white colored colonies on CHROMagar Candida, respectively, as expected. However, when 440 clinical isolates were streaked on CHROMagar candida medium, only 42 isolates produced typical purple color colonies, while 321 isolates produced light purple colonies with white tinge and the remaining 77 isolates formed completely white colonies with no noticeable purple color.

Establishment of a multiplex PCR (mPCR) assay and analysis of clinical C. glabrata sensu lato isolates

The mPCR amplification performed with mCGLF + mCNIF + mCBRF + mCGCR primers yielded an expected size amplicon of nearly 360 bp, 250 bp and 180 bp with genomic DNA from the reference strains of C. glabrata sensu stricto (ATCC 90030), C. nivariensis (CBS 9983) and C. bracarensis (CBS 10154), respectively (Fig 1). No amplification was obtained in mPCR with DNA from reference strains of C. albicans (ATCC 76615), C. dubliniensis (CBS 7987), C. parapsilosis (ATCC 22019) or C. tropicalis (ATCC 750) (Fig 1). No amplification was also obtained in mPCR with DNA prepared from Candida lusitaniae (CBS 4413), Candida guilliermondii (CBS 6021), Candida kefyr (ATCC 28838), Candida famata (CBS 796), Saccharomyces cerevisiae (Kw1336/19), Trichosporon asahii (Kw1728/19) or from human cells, as expected. Ten-fold serial dilutions were made and the minimum detection limit for a positive test in the mPCR assay was found to be 960 pg, 500 pg and 512 pg of genomic DNA from C. glabrata, C. nivariensis and C. bracarensis, respectively. When DNA prepared from clinical C. glabrata sensu lato isolates was used, all 440 isolates yielded an amplicon of ~360 bp only which is characteristic of C. glabrata sensu stricto strains. None of the clinical isolates yielded an amplicon of 250 bp (characteristic of C. nivariensis) or 180 bp (characteristic of C. bracarensis). Thus mPCR data showed lack of detection of C. nivariensis and C. bracarensis among 440 clinical C. glabrata sensu lato isolates in Kuwait.
Fig 1

An agarose gel of amplified products obtained in mPCR using C. glabrata sensu stricto-specific (mCGLF), C. nivariensis-specific (mCNIF) and C. bracarensis-specific (mCBRF) forward and C. glabrata complex-specific (mCGCR) reverse primer with genomic DNA from reference strain of C. glabrata sensu stricto ATCC 90030 (lane CG), C. nivariensis CBS 9983 (lane CN), C. bracarensis CBS 10154 (lane CB), C. albicans ATCC 76615 (lane CA), C. dubliniensis CBS 7987 (lane CD), C. parapsilosis ATCC 22019 (lane CP) and C. tropicalis ATCC750 (lane CT).

Lane M is 100 bp DNA ladder and the position of migration of 100 bp, 300 bp and 600 bp fragments are marked.

An agarose gel of amplified products obtained in mPCR using C. glabrata sensu stricto-specific (mCGLF), C. nivariensis-specific (mCNIF) and C. bracarensis-specific (mCBRF) forward and C. glabrata complex-specific (mCGCR) reverse primer with genomic DNA from reference strain of C. glabrata sensu stricto ATCC 90030 (lane CG), C. nivariensis CBS 9983 (lane CN), C. bracarensis CBS 10154 (lane CB), C. albicans ATCC 76615 (lane CA), C. dubliniensis CBS 7987 (lane CD), C. parapsilosis ATCC 22019 (lane CP) and C. tropicalis ATCC750 (lane CT).

Lane M is 100 bp DNA ladder and the position of migration of 100 bp, 300 bp and 600 bp fragments are marked.

Establishment of three species-specific singleplex PCR assays and analysis of clinical C. glabrata sensu lato isolates

The three singleplex PCR assays (S1 Fig, panels A-C) correctly identified the three target species and did not show any cross-reaction with other Candida/yeast species, as expected. When DNA isolated from 440 clinical C. glabrata sensu lato isolates was tested, an amplicon of ~360 bp was obtained in C. glabrata sensu stricto-specific singleplex PCR assay only and thus confirmed mPCR data.

ITS haplotypes among C. glabrata isolates

DNA sequencing data for the ITS region of rDNA from 85 randomly selected clinical C. glabrata isolates from Kuwait showed >99% similarity with sequences from reference C. glabrata sensu stricto strains ATCC 90030 and CBS 138 and were distinct from sequences of reference C. nivariensis and C. bracarensis strains. Multiple sequence alignment was carried out to compare the ITS region sequences. Based on ITS region sequence data, 28 distinct haplotypes (arbitrarily assigned as ITSH1 to ITSH28) were identified among 85 clinical C. glabrata isolates from Kuwait The discriminatory power for the ITS-based fingerprinting method was 0.88. Eighteen of 85 (21%) isolates belonged to unique ITS haplotypes while 67 isolates belonged to 10 cluster haplotypes with each cluster containing 2–26 isolates (Fig 2). The most common haplotype was ITSH1 shared among 26 (31%) isolates followed by ITSH7 among 10 (12%) isolates and ITSH25 and ITSH28 shared among six (7%) isolates each (Fig 2). The ITS-based fingerprinting data thus showed considerable genotypic heterogeneity among clinical C. glabrata sensu stricto isolates in Kuwait. There was no association of specific/predominant ITS haplotypes with the specimen types of C. glabrata isolates. The ITS region sequence data have been submitted to European Molecular Biology Laboratory (EMBL) database under accession numbers LS398112 to LS398120, LS398122, LS398123, LT837719 to LT837724 and LT837726 to LT837744.
Fig 2

Neighbor-joining tree based on DNA sequence data for the ITS region of rDNA from 85 C. glabrata sensu stricto isolates.

The bootstrap frequencies (>50%) on the node branches are shown. The ITS haplotype (ITSH) arbitrarily assigned for each isolate is also shown in the right hand column.

Neighbor-joining tree based on DNA sequence data for the ITS region of rDNA from 85 C. glabrata sensu stricto isolates.

The bootstrap frequencies (>50%) on the node branches are shown. The ITS haplotype (ITSH) arbitrarily assigned for each isolate is also shown in the right hand column.

Discussion

Candida nivariensis and C. bracarensis generally exhibit lower susceptibility to triazoles and amphotericin B than C. glabrata sensu stricto isolates warranting species-specific identification of all clinical C. glabrata sensu lato isolates [9, 27–30, 37]. All 440 C. glabrata isolates used in this study were first tested on CHROMagar Candida. Although reference strains of C. glabrata sensu stricto (purple), C. nivariensis (creamy white) and C. bracarensis (creamy white) produced expected results as described previously [27], production of creamy white colonies on CHROMagar Candida is not restricted for C. nivariensis and C. bracarensis strains only as Candida norvegensis, C. inconspicua and some strains of C. glabrata also produce creamy white colonies on this medium [30, 38]. Similar to the results reported by Bishop et al. [38], only 363 of 440 (82.5%) isolates produced completely or partially purple colonies while 77 (17.5%) isolates produced creamy white colonies. The occurrence of creamy white colonies was not restricted to any specific specimen type. Lockhart et al [30] also reported that 11 of 14 isolates producing creamy white colonies in their study were subsequently identified as C. glabrata sensu stricto strains by two molecular tests. Thus creamy white colonies on CHROMagar Candida is not diagnostic for the identification of C. nivariensis and C. bracarensis strains. In this study, we have also developed a simple, low-cost mPCR assay for accurate identification of C. glabrata sensu stricto, C. nivariensis and C. bracarensis isolates in a single PCR assay. The accuracy of mPCR assay was tested by using reference strains of several Candida/other yeast species. All 440 clinical C. glabrata sensu lato isolates analyzed in this study were identified as C. glabrata sensu stricto by mPCR. The mPCR-based identification of all isolates was also confirmed by a C. glabrata sensu stricto-specific singleplex PCR assay. The mPCR assay developed here can be completed within 4 hours using basic PCR and gel electrophoresis equipment that are readily available in clinical microbiology laboratories and will only cost ~2 US$ per sample (using Chelex-100-based boiling method for DNA extraction and excluding the cost of culture and personnel time). Several molecular methods have been described previously for species-specific identification of C. glabrata sensu stricto, C. nivariensis and/or C. bracarensis isolates [39-44]. Of these, the mPCR assays described by Romeo et al. [41] and Arastehfar et al. [43] are very similar to our assay except that longer amplicons were obtained in their study. The PCR protocols yielding smaller amplicons are generally preferred [45, 46]. The larger amplicon size (~450 bp) for C. glabrata in SeptiFast real-time PCR assays yielded false-nagative results from candidemia patients in some studies even when the blood cultures yielded C. glabrata [47-49]. Singleplex PCR assays have also been described for the detection of C. glabrata sensu stricto and C. nivariensis [39, 40], however, they (including those developed in this study) are time consuming as they require three separate PCR reactions for each isolate. Although the singleplex PCR assay described by Enache-Angoulvant et al., [42] can potentially detect all the three species in a single test, the primers are not specific as amplicons were also obtained from S. cerevisiae and few other close relatives [42]. Additionally, poor resolution in agarose gels due to small (~100 bp) differences among larger (~1000 bp) amplicons and variations in the length of intronic sequences used as target among the isolates may lead to misidentification in some cases. The PNA-FISH is labor intensive and time consuming and species-specific probes have to be tested for all phenotypically identified C. glabrata sensu lato isolates [44]. Although rapid identification of C. nivariensis and C. bracarensis is possible with MALDI-TOF MS analysis, the requirement for fresh cultures often necessitates sub-culturing for obtaining interpretable results and these two species are included in the database of only the Bruker Daltonics Biotyper system but not in the database of the Biomerieux Vitek MS system [31, 50, 51]. The ITS-based fingerprinting data showed considerable genotypic heterogeneity as 28 distinct haplotypes were identified among 85 isolates. Eighteen isolates belonged to unique haplotypes while 67 isolates clustered in 10 haplotypes. The discriminatory power for the ITS-based fingerprinting method was 0.88 which is nearly same as the discriminatory power of the six-loci-based multilocus sequence typing (MLST) scheme for C. glabrata [52]. Fingerprinting of a global collection of 109 C. glabrata isolates by MLST yielded only 30 sequence types (STs) [52]. Fingerprinting studies for other Candida species have yielded variable results. While the ITS region sequences of 24 C. parapsilosis sensu stricto isolates analyzed so far from Kuwait were identical, three haplotypes were identified among 19 isolates of C. orthopsilosis, a species very closely related to C. parapsilosis sensu stricto [32, 53]. Likewise, the ITS region sequences among C. albicans are highly similar as only four haplotypes have been identified among a large collection of isolates so far, nine haplotypes have been detected in clinical isolates of the sister species, C. dubliniensis [36, 54–56]. The highest variability among ITS region sequences has been noted recently among C. lusitaniae strains as nine haplotypes were detected among 13 clinical isolates [57]. Taken together, the ITS region of rDNA presents as an attractive target and has the potential for improving the discriminatory power of the MLST scheme [52] for routine fingerprinting of clinical C. glabrata sensu stricto isolates. Although we analyzed a large (n = 440) and diverse collection of clinical C. glabrata sensu lato isolates, C. nivariensis and C. bracarensis were not detected implying that these two cryptic species are not clinically important in Kuwait. The findings are consistent with a recent study that reported a low prevalence of 0.12% for C. nivariensis and 0.01% for C. bracarensis among phenotypically identified C. glabrata strains [9]. A search of published studies was carried out to determine which clinical specimens or ethnic background of patients may be more suitable for the isolation of these rare yeast pathogens and the results are summarized in Table 1. In total, 11 case reports and 18 research studies were identified which either reported the isolation or lack of isolation of C. nivariensis and/or C. bracarensis. C. nivariensis has a wider global distribution as it has been isolated from several countries in Europe, Asia (including Iran in the Middle East), Australia and South America while C. bracarensis has mainly been isolated from Canada, USA and Mexico in North America, some European countries, China and Argentina [27–30, 37, 44, 51, 58–79]. Surprisingly, both species were isolated simultaneously from only two (China and Argentina) countries [37, 51, 76]. Altogether, eight countries/geographical locations (including Kuwait) involving 2560 C. glabrata sensu lato isolates failed to identify the presence of either C. nivariensis or C. bracarensis indicating that these species are rare yeast pathogens in some countries/geographical locations [30, 68, 69, 71, 77].
Table 1

Summary of published studies/case reports and screening methods used for the identification of C. nivariensis and C. bracarensis among C. glabrata sensu lato isolates.

No.Type of studyYear of publicationCountry/RegionNo. of isolates screenedNo. (%) of isolates identified asIdentification method(s)Reference
CGCNCBPreliminary testConfirmatory test
1Case reports2005SpainNANA3-CHROMagarDNA sequencingAlcoba-Flo´rez et al., 2005 [27]
2Case report2006Portugal/UKNANA-2-DNA sequencingCorreia et al., 2006 [28]
3Case report2007JapanNANA1--DNA sequencingFujita et al., 2007 [58]
4Case report2008IndonesiaNANA1-CHROMagar/Auxacolor2DNA sequencingWahyuningsih et al., 2008 [59]
5Case reports2008UKNANA16-CHROMagar/Auxacolor2/API 20CDNA sequencingBorman et al., 2008 [29]
6Case report2010CanadaNANA-2CHROMagarDNA sequencingWarren et al., 2010 [60]
7Case report2013SpainNANA1-CHROMagarDNA sequencingLopez-Soria et al., 2013 [61]
8Case reports2013UKNANA5-CHROMagarDNA sequencing/MALDI-TOFGorton et al., 2013 [62]
9Case reports2016SpainNANA4-CHROMagarDNA sequencing/MALDI-TOFAznar-Marin et al., 2016 [63]
10Case report2016Brazil/Rio de JaneiroNANA1-CHROMagar/Vitek2Figueiredo-Carvalho et al., 2016 [64]
11Case report2018MexicoNANA-1API 20CDNA sequencingTreviño-Rangel et al., 2018 [65]
12Research/screening2008USA/Baltimore137134 (98)03 (2)CHROMagar/Vitek2PNA FISH/DNA sequencingBishop et al., 2008 [44]
13Research/screening2009North America838836 (99.8)02 (0.2)CHROMagarPCR/PNA FISHLockhart et al., 2009 [30]
South America133133 (100)00CHROMagarPCR/PNA FISH
Europe400400 (100)00CHROMagarPCR/PNA FISH
Asia111111 (100)00CHROMagarPCR/PNA FISH
Australia4241 (97.6)1 (2.4)0CHROMagarPCR/PNA FISH
Africa7171 (100)00CHROMagarPCR/PNA FISH
14Research/screening2010India363361 (99.5)2 (0.5)0CHROMagarDNA sequencingChowdhary et al., 2010 [66]
15Research/screening2011Spain143140 (98)03 (2)NSDNA sequencingCuenca-Estrella et al., 2011 [67]
16Research/screening2011Denmark133133 (100)00NSPCR-RFLP/PNA FISHMirhendi et al., 2011 [68]
17Research/screening2012Spain158158 (100)00NSPCR/DNA sequencingPemán et al, 2012 [69]
18Research/screening2013India10096 (96)4 (4)0CHROMagar/Vitek2PCR/DNA sequencingSharma et al., 2013 [70]
19Research/screening2013Italy10001000 (100)00CHROMagar/ID32CmPCREsposto et al., 2013 [71]
20Research/screening2014China/Shenzhen301293 (97.3)7 (2.3)1 (0.3)CHROMagar/API 20CDNA sequencingLi et al., 2014 [37]
21Research/screening2014Poland224211 (94)13 (6)0CHROMagar/ID32CDNA sequencingSwoboda-Kopec et al., 2014 [72]
22Research/screening2014Malaysia185183 (99)2 (1)0CHROMagarPCR (RPL31 gene)/DNA sequencingTay et al., 2014 [73]
23Research/screening2015China/ShanghaiNANA1-CHROMagar/API 20CDNA sequencingFeng et al., 2015 [74]
24Research/screening2016Argentina/Buenos Aires117114 (97)3 (3)0CHROMagarPCR (RPL31 gene)/DNA sequencingMorales-López et al., 2016 [75]
25Research/screening2017Argentina/Buenos Aires122114 (93.5)5 (4)3 (2.5)NSmPCR/DNA sequencingMorales-López et al., 2017 [76]
26Research/screening2017China/Beijing960947 (98.6)12 (1.3)1 (0.1)Vitek2DNA sequencingHou et al., 2017 [51]
27Research/screening2018Spain114114 (100)00CHROMagar/ID32CmPCRMiranda-Cadena et al., 2018 [77]
28Research/screening2018Poland353352 (99.7)01 (0.3)CHROMagar/Vitek2mPCR/DNA sequencingMałek et al., 2018 [78]
29Research/screening2019Iran213209 (98)4 (2)0CHROMagar/mPCRDNA sequencing/MALDI-TOFArastehfar et al., 2019 [79]
30Research/screening2019Kuwait440440 (100)00CHROMagar/Vitek2PCR/mPCR/DNA sequencingThis study

CG, C. glabrata sensu stricto; CN, C. nivariensis; CB, C. bracarensis; mPCR, multiplex PCR; PNA-FISH, peptide nucleic acid-fluorescent in situ hybridization; NS, not specified; NA, not applicable

CG, C. glabrata sensu stricto; CN, C. nivariensis; CB, C. bracarensis; mPCR, multiplex PCR; PNA-FISH, peptide nucleic acid-fluorescent in situ hybridization; NS, not specified; NA, not applicable The clinical specimens yielding C. nivariensis or C. bracarensis among ~6500 C. glabrata sensu lato isolates screened so far in various studies are listed in Table 2. The data show that bloodstream, vaginal specimens and respiratory specimens are more likely to yield C. nivariensis or C. bracarensis.
Table 2

Number of C. nivariensis and/or C. bracarensis isolates identified in various clinical specimens among ~6500 C. glabrata sensu lato isolates screened so far.

Clinical specimensNo. of C. nivariensisNo. of C. bracarensis
screenedisolates detectedisolates detected
Blood225
Vaginal swab/exudate123
Respiratory tract/oral cavity/sputum142
Ascitic fluid30
Urine/renal sample20
Stool02
Abscess/pus22
Pleural fluid11
Cerebrospinal fluid10
Catheter exudate/exit site swab11
Surgical site swab10
CAPB dialysis fluid10
Unspecified60
Total6616

CAPB, continuous ambulatory peritoneal bag

CAPB, continuous ambulatory peritoneal bag In conclusion, we have described a simple, cost effective mPCR assay by using highly conserved rDNA sequences for rapid detection and differentiation of C. nivariensis and C. bracarensis from C. glabrata sensu stricto isolates. The method involves single-tube PCR amplification followed by agarose gel electrophoresis for detection of species-specific amplicons. Only basic PCR and gel electrophoresis equipment are needed which are readily available in most mycology laboratories and the requirement for a minimal amount of genomic DNA allows the whole procedure to be completed within 4 hours. The mPCR accurately identified all 440 C. glabrata sensu stricto isolates. Furthermore, our study highlights lack of detection of C. nivariensis and C. bracarensis from Kuwait further supporting that C. nivariensis and C. bracarensis are rare yeast pathogens in some geographical locations. Considerable genotypic diversity among C. glabrata sensu stricto isolates was also indicated by rDNA sequence analyses. Our study has few limitations. Only one reference strain was available for C. nivariensis and C. bracarensis during specificity testing studies and an internal PCR control was not included. Also, misidentification of one of the Candida species may occur in the event of mixed colonies as it will not be amplified by mPCR.

Clinical source of 440 C. glabrata sensu lato isolates used in this study.

(DOCX) Click here for additional data file.

Nucleotide sequences and specific purpose of primers used in PCR-amplification of various genomic regions of C. glabrata sensu lato isolates and the expected sizes of amplicons in base pairs (bp).

(DOCX) Click here for additional data file. Agarose gel of amplified products obtained in PCR using C. glabrata-specific (panel A), C. nivariensis-specific (panel B) and C. bracarensis-specific (panel C) primers with genomic DNA from reference strain of C. glabrata (lane CG), C. nivariensis (lane CN), C. bracarensis (lane CB), C. albicans (lane CA), C. dubliniensis (lane CD), C. parapsilosis (lane CP) and C. tropicalis (lane CT). Lane M is 100 bp DNA ladder. (DOCX) Click here for additional data file.
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1.  The changing epidemiology of healthcare-associated candidemia over three decades.

Authors:  Daniel Diekema; Sophie Arbefeville; Linda Boyken; Jennifer Kroeger; Michael Pfaller
Journal:  Diagn Microbiol Infect Dis       Date:  2012-05       Impact factor: 2.803

2.  Rapid discrimination between Candida glabrata, Candida nivariensis, and Candida bracarensis by use of a singleplex PCR.

Authors:  A Enache-Angoulvant; J Guitard; F Grenouillet; T Martin; P Durrens; C Fairhead; C Hennequin
Journal:  J Clin Microbiol       Date:  2011-07-13       Impact factor: 5.948

3.  Increasing echinocandin resistance in Candida glabrata: clinical failure correlates with presence of FKS mutations and elevated minimum inhibitory concentrations.

Authors:  Barbara D Alexander; Melissa D Johnson; Christopher D Pfeiffer; Cristina Jiménez-Ortigosa; Jelena Catania; Rachel Booker; Mariana Castanheira; Shawn A Messer; David S Perlin; Michael A Pfaller
Journal:  Clin Infect Dis       Date:  2013-03-13       Impact factor: 9.079

4.  A multiplex PCR protocol for rapid identification of Candida glabrata and its phylogenetically related species Candida nivariensis and Candida bracarensis.

Authors:  Orazio Romeo; Fabio Scordino; Ida Pernice; Carla Lo Passo; Giuseppe Criseo
Journal:  J Microbiol Methods       Date:  2009-07-25       Impact factor: 2.363

5.  First report of Candida bracarensis in Mexico: hydrolytic enzymes and antifungal susceptibility pattern.

Authors:  Rogelio de J Treviño-Rangel; José F Espinosa-Pérez; Hiram Villanueva-Lozano; Alexandra M Montoya; Angel Andrade; Alexandro Bonifaz; Gloria M González
Journal:  Folia Microbiol (Praha)       Date:  2018-02-27       Impact factor: 2.099

6.  Looking for Candida nivariensis and C. bracarensis among a large Italian collection of C. glabrata isolates: results of the FIMUA working group.

Authors:  M C Esposto; A Prigitano; O Romeo; G Criseo; L Trovato; V Tullio; M E Fadda; A M Tortorano
Journal:  Mycoses       Date:  2012-11-21       Impact factor: 4.377

7.  Candida dubliniensis: an appraisal of its clinical significance as a bloodstream pathogen.

Authors:  Ziauddin Khan; Suhail Ahmad; Leena Joseph; Rachel Chandy
Journal:  PLoS One       Date:  2012-03-02       Impact factor: 3.240

8.  Identification and Antifungal Susceptibility Profiles of Candida nivariensis and Candida bracarensis in a Multi-Center Chinese Collection of Yeasts.

Authors:  Xin Hou; Meng Xiao; Sharon C-A Chen; He Wang; Shu-Ying Yu; Xin Fan; Fanrong Kong; Ying-Chun Xu
Journal:  Front Microbiol       Date:  2017-01-19       Impact factor: 5.640

9.  First description of Candida nivariensis in Brazil: antifungal susceptibility profile and potential virulence attributes.

Authors:  Maria Helena Galdino Figueiredo-Carvalho; Livia de Souza Ramos; Leonardo Silva Barbedo; Alessandra Leal da Silva Chaves; Ilda Akemi Muramoto; André Luis Souza dos Santos; Rodrigo Almeida-Paes; Rosely Maria Zancopé-Oliveira
Journal:  Mem Inst Oswaldo Cruz       Date:  2016-01       Impact factor: 2.743

Review 10.  Fungal Resistance to Echinocandins and the MDR Phenomenon in Candida glabrata.

Authors:  Kelley R Healey; David S Perlin
Journal:  J Fungi (Basel)       Date:  2018-09-01
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  8 in total

1.  Caenorhabditis elegans as a Model System To Assess Candida glabrata, Candida nivariensis, and Candida bracarensis Virulence and Antifungal Efficacy.

Authors:  Ainara Hernando-Ortiz; Estibaliz Mateo; Marcelo Ortega-Riveros; Iker De-la-Pinta; Guillermo Quindós; Elena Eraso
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

2.  Antifungal drug susceptibility, molecular basis of resistance to echinocandins and molecular epidemiology of fluconazole resistance among clinical Candida glabrata isolates in Kuwait.

Authors:  Zahraa F Al-Baqsami; Suhail Ahmad; Ziauddin Khan
Journal:  Sci Rep       Date:  2020-04-10       Impact factor: 4.379

3.  Case Report: Echinocandin-Resistance Candida glabrata FKS Mutants From Patient Following Radical Cystoprostatectomy Due to Muscle-Invasive Bladder Cancer.

Authors:  Maria Szymankiewicz; Krzysztof Kamecki; Sylwia Jarzynka; Anna Koryszewska-Bagińska; Gabriela Olędzka; Tomasz Nowikiewicz
Journal:  Front Oncol       Date:  2021-12-15       Impact factor: 6.244

4.  Establishment of a rapid diagnosis method for Candida glabrata based on the ITS2 gene using recombinase polymerase amplification combined with lateral flow strips.

Authors:  Kun Wang; Li Huo; Yuanyuan Li; Lihua Zhu; Yan Wang; Lei Wang
Journal:  Front Cell Infect Microbiol       Date:  2022-07-28       Impact factor: 6.073

5.  Rapid Detection of Candida tropicalis in Clinical Samples From Different Sources Using RPA-LFS.

Authors:  Lei Wang; Aiguo Xu; Ping Zhou; Mengdi Zhao; Chenglai Xu; Yan Wang; Kun Wang; Fang Wang; Yongchang Miao; Weiguo Zhao; Xuzhu Gao
Journal:  Front Cell Infect Microbiol       Date:  2022-07-07       Impact factor: 6.073

6.  Identification of Cryptic Species of Four Candida Complexes in a Culture Collection.

Authors:  Gustavo Fontecha; Kathy Montes; Bryan Ortiz; Celeste Galindo; Sharleen Braham
Journal:  J Fungi (Basel)       Date:  2019-12-17

7.  Candida kefyr in Kuwait: Prevalence, antifungal drug susceptibility and genotypic heterogeneity.

Authors:  Suhail Ahmad; Ziauddin Khan; Noura Al-Sweih; Wadha Alfouzan; Leena Joseph; Mohammad Asadzadeh
Journal:  PLoS One       Date:  2020-10-27       Impact factor: 3.240

8.  Candidiasis by Candida glabrata, Candida nivariensis and Candida bracarensis in Galleria mellonella: Virulence and Therapeutic Responses to Echinocandins.

Authors:  Ainara Hernando-Ortiz; Elena Eraso; Guillermo Quindós; Estibaliz Mateo
Journal:  J Fungi (Basel)       Date:  2021-11-23
  8 in total

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