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Article

A Candida parapsilosis Overexpression Collection Reveals Genes Required for Pathogenesis

1
Department of Microbiology, University of Szeged, Közép Fasor, 6726 Szeged, Hungary
2
Departments of Medicine and Microbiology and Immunology, Albert Einstein College of Medicine, New York, NY 10461, USA
3
MTA-SZTE Lendület Mycobiome Research Group, University of Szeged, 6726 Szeged, Hungary
*
Author to whom correspondence should be addressed.
T.N. and A.G. contributed equally to this work.
J. Fungi 2021, 7(2), 97; https://doi.org/10.3390/jof7020097
Submission received: 4 December 2020 / Revised: 18 January 2021 / Accepted: 25 January 2021 / Published: 29 January 2021
(This article belongs to the Special Issue Antifungal Immunity and Fungal Vaccine Development)

Abstract

:
Relative to the vast data regarding the virulence mechanisms of Candida albicans, there is limited knowledge on the emerging opportunistic human pathogen Candida parapsilosis. The aim of this study was to generate and characterize an overexpression mutant collection to identify and explore virulence factors in C. parapsilosis. With the obtained mutants, we investigated stress tolerance, morphology switch, biofilm formation, phagocytosis, and in vivo virulence in Galleria mellonella larvae and mouse models. In order to evaluate the results, we compared the data from the C. parapsilosis overexpression collection analysis to the results derived from previous deletion mutant library characterizations. Of the 37 overexpression C. parapsilosis mutants, we identified eight with altered phenotypes compared to the controls. This work is the first report to identify CPAR2_107240, CPAR2_108840, CPAR2_302400, CPAR2_406400, and CPAR2_602820 as contributors to C. parapsilosis virulence by regulating functions associated with host-pathogen interactions and biofilm formation. Our findings also confirmed the role of CPAR2_109520, CPAR2_200040, and CPAR2_500180 in pathogenesis. This study was the first attempt to use an overexpression strategy to systematically assess gene function in C. parapsilosis, and our results demonstrate that this approach is effective for such investigations.

1. Introduction

Candida species are responsible for the vast majority of systemic fungal nosocomial infection cases. Numerous studies from different parts of the world report increasing rates of systemic candidiasis [1,2,3,4]. Non-albicans Candida (NAC) species such as C. glabrata, C. parapsilosis, C. krusei, C. auris, and C. tropicalis have significantly contributed to this continuous rise in the number of candidiasis cases, which highlights the importance of these emerging species [5,6,7]. Remarkable changes in medical practice that subvert host effector responses, such as the robust use of immunosuppressive therapies, can also affect the epidemiology of a pathogenic species and increase the incidence of fungal infections [8,9,10].
There is an enormous amount of data available in the literature on the virulence mechanisms of C. albicans, while our knowledge lags behind for emerging NAC opportunistic human pathogens, such as C. parapsilosis [11]. Although C. parapsilosis is a commensal yeast of the normal human skin, it can, in contrast to the strict association of C. albicans with humans, also survive in diverse environments. C. parapsilosis’ increasing role in low birth weight neonatal infections highlights the importance of performing extensive surveys of its physiology and virulence factors [12,13,14,15]. C. parapsilosis is able to form pseudohypha, but not true hypha, and its elevated tolerance to echinocandins are additional specific attributions with clinical relevance [16,17]. So far, several groups have explored specific gene functions in C. parapsilosis [18,19,20]. The first genome sequence of a C. parapsilosis strain (CDC317) was published in 2009 [21]. Later, three more strains derived from human and environmental sources were also sequenced and comprehensively analyzed, enabling further investigations of large scale targeted genomic alterations in this species [21,22]. These and other studies also revealed genomic and phenotypic alterations between C. albicans and C. parapsilosis, suggesting that these two pathogenic species have evolved different strategies to invade the host [23,24]. According to the Candida Genome Database (CGD) only 1.35% of the protein coding genes of C. parapsilosis have been verified to date, while this number is 27.9% in the case of C. albicans [25,26]. Taking into account the unique and distinctive interspecies characteristics of C. parapsilosis in the Candida clade, further investigation is urgently needed to reveal factors associated with the pathobiological mechanisms of the species.
The conventional method to reveal gene function is the deletion of a given gene and observation of the phenotype of the knock out (KO) mutant. Comprehensive KO mutant libraries and their characterizations are accessible for many organisms, including C. parapsilosis [27,28,29,30]. Pathogenesis associated gene functions such as biofilm formation, phenotypic profile, and transition or genes responsible for drug resistance or transcriptional regulator networks have also been identified in both C. albicans and C. parapsilosis using KO methods. Even in silico gene deletion for drug development has been carried out with C. albicans [31]. This approach was aided by the rapid evolution of the molecular techniques replacing the laborious CaSAT1 flipper, or the double auxotrophy complementation approaches with CRISPR/Cas9 system that simplified the generation of loss of function mutations [18,28,32,33,34,35]. However, in some cases, the resulting phenotype achieved by gene deletion has been uninformative, or the KO approach has failed, especially when essential genes are in question. Furthermore, in diploid organisms deletion of both alleles for the targeted gene is required. The artificial overexpression (OE) of a gene can circumvent the aforementioned drawbacks of the KO method. In addition to this, an OE strategy can be utilized to map regulatory rate-limiting steps in gene interaction studies [36]. Systematic library analysis as well as specific gene examination studies have been published using OE mutant strains in many organisms [37,38,39,40,41]. Genes involved in biological processes associated with fungal pathogenesis, such as biofilm formation, invasive hyphal growth or drug resistance, have also been successfully identified using this approach in C. albicans and other Candida species [42,43,44]. Moreover, the OE approach can also complement the KO library screens to explore and validate the function of a gene [36,45,46,47,48].
Although extensive studies in gene OE in Saccharomyces cerevisiae and C. albicans have enriched our knowledge on their fitness and virulence [49,50,51,52], no such an effort has yet been achieved in the case of the neonatal pathogen C. parapsilosis. Therefore, we have generated and characterized an OE collection in C. parapsilosis using a recently adapted system by Németh and co-workers [53] and explored the collection in order to reveal novel virulence traits.

2. Materials and Methods

2.1. Strains and Growth Conditions

C. parapsilosis and Escherichia coli strains used in this study are listed in Table S1. Yeast strains were stored at −80 °C in YPD (0.5% (m/v) yeast extract, 1% (m/v) peptone, and 1% (m/v) D-glucose) media supplemented with 20% (v/v) glycerol. Yeast strains were routinely maintained on YPD plates supplemented with 2% (m/v) agarose and 100 unit/mL Penicillin-Streptomycin (PS) solution and maintained at 4 °C. For the experiments, fungal strains were grown in YPD media supplemented with 100 unit/mL PS in an orbital shaker at 30 °C overnight, then 1 µL of the overnight culture was transferred into 3 mL of fresh YPD media and cultivated under the same conditions overnight. Two milliliters of the suspension was collected and washed twice with sterile 1× PBS, diluted then counted with a Burker-chamber. Specific cell concentrations were set using 1× PBS.
Prototroph transformants were selected and maintained on solid minimal media, containing YNB (0.19% m/v Yeast Nitrogen Base without amino acids) media supplemented with 2% (m/v) glucose, 2% (m/v) agar, 100 unit/mL PS, and 10% (v/v) 10× Dropout (DO) amino acid solution (without leucine) [28].
E. coli strains were grown on LB plates (1% (m/v) NaCl, 1% (m/v) tryptone, 0.5% (m/v) yeast extract, and 2% (m/v) agar) supplemented with 10 µg/mL tetracycline for strain 2T1. Selection of colonies bearing the plasmids was carried out on LB plates supplemented with 50 µg/mL kanamycin A or 100 µg/mL ampicillin. Plasmid extraction from 2T1 or DB3.1 E. coli strains was performed by cultivating transformants in 2 mL LB liquid media in an orbital shaker at 37 °C with the appropriate antibiotics overnight.
Dulbecco’s modified eagle’s medium (DMEM) + 10% (v/v) heat-inactivated fetal bovine serum (HI FBS) + 100 unit/mL PS media was used for pseudohypha detection experiments and for the maintenance of the J774.2 murine cell line.

2.2. Construction of the Overexpression Cassettes

Overexpression constructs were generated using GatewayTM cloning method with pDONRTM221 for BP and pDCpOE-L-N5L for LR cloning [53]. Target ORFs were amplified with an attB1 site at the 5′ end, and an attB2 site at the 3′ end. Additionally, the 3′ end also contained a 20 nt long unique bar code sequence to enable rapid identification by molecular methods (Table S1). BP and LR cloning were performed according to the manufacturer’s instructions. E. coli strain 2T1 was transformed with BP and LR cloning products and used to propagate pENTRY and pECpOE, respectively, while pDONRTM221 and pDCpOE-L-N5L plasmids were propagated in strain DB3.1.

2.3. Generation of the Overexpression Mutants

The pECpOE-ORF-L-N5L plasmids were linearized by StuI digestion overnight, precipitated, washed with 70% (v/v) ethanol, air-dried, and suspended in 10 µL distilled water. Three micrograms of the linearized plasmid was used to transform the leucine auxotroph derivative of C. parapsilosis (CPL2) using the ssDNA/LiAc/PEG mediated heat-shock method as described by Holland and co-workers [28]. Cells were plated onto minimal media and incubated for three days at 30 °C.

2.4. Validation of the Mutant Strains

To verify the proper integration of the cassettes, we first performed rapid DNA isolation followed by colony PCR involving primers specific to the given ORF and downstream from the site of the integration [28]. See primer sequences in Table S1. Further verification was managed using Southern blot. Briefly, 10 µg of total genomic DNA was digested with EcoRI overnight. A digoxigenin labeled CpN5L downstream probe was generated by amplifying the given region from C. parapsilosis CLIB214 genomic DNA with CpN5LDo1SouFor and CpN5LDo2SouRev primers using the DIG DNA Labeling Kit (Roche) according to the manufacturer’s instructions (Table S1). For real-time PCR analysis, extraction and reverse transcription of the RNA to cDNA was performed using Ambion, RibopureTM-Yeast RNA Isolation Kit, and the RevertAid First Strand cDNA Synthesis Kit (ThermoFisher), respectively, according to the instructions of the manufacturers. Real-time qPCR was carried out as previously described [29] in a Bio-Rad Real-Time PCR detection system. Data were normalized to CLIB214 wild type strain, and relative transcription levels were determined using the housekeeping gene CpTUB4 (CPAR2_500510) as an internal control. The RNA extraction was performed from the pool of three independent cultures mixed in an even ratio. To evaluate the results, the 2−∆∆Cq comparison method was used with Bio-Rad CFX Manager software. Primers for these experiments are listed in Table S1.

2.5. Characterization of the OE Mutant Strains

2.5.1. Growth Kinetics Measurements in Liquid Cultures

The experiments were performed three times except for those mutants that showed no difference compared to the control in the first two experiments. Three different control C. parapsilosis strains-the wild type strain (CLIB214), the reintegrated strain of the double auxotroph strain (CPRI), and the mCherryOE mutant-were used in growth kinetics, stress tolerance, and antifungal susceptibility experiments.
To monitor the growth capabilities of the generated mutants, kinetic studies were performed in YPD + 100 unit/mL PS and YNB (0.67% Yeast Nitrogen Base without amino acids) + 0.5% glucose + 100 unit/mL PS liquid medium under static conditions at 30 °C for 24 h, and the OD600 was determined every hour after one-minute of shaking (200 rpm) (SpectroStar Nano). Tests were performed three times in triplicates in 48-well plates. Initial concentrations were determined at 5 × 105 cells/mL, where 100 µL of the suspension was added to each well loaded with 900 µL liquid medium.

2.5.2. Viability Tests under Different Stress Conditions on Solid Media

Viability of the strains was tested under the stress conditions listed in Table S2. Four step ten-fold dilutions were prepared with 105 to 102 cells per 5 µL. Growth was examined at 30 and 37 °C after 48 h of incubation. Heat dependency was examined by incubating the cells at 20, 25, 30, 37, and 40 °C on YPD solid medium. In addition, growth was investigated on solid minimal media (0.19% YNB + 0.5% glucose + 100 unit/mL PS) with or without the addition of 10% (v/v) HI FBS at 30 and 37 °C.

2.5.3. Morphology Switch and Pseudohypha Forming Capacity

The morphology of OE strains was examined under a light microscope. Prior to examination, each strain was grown in liquid YPD + 100 unit/mL PS media, collected, washed three times, suspended in 1× PBS solution, and pipetted onto glass slides.
The pseudohypha forming capacity was investigated after growing the cells in liquid YPD + 100 unit/mL PS and DMEM + 10% (v/v) HI FBS + 100 unit/mL PS media at 37 °C, 5% (v/v) CO2 for 24–48 h. After one day of incubation, the samples were examined by light microscopy. After two days, each sample was measured with Amnis® FlowSight® flow cytometer. Data were analyzed by the IDEAS Software (Amnis).

2.5.4. Biofilm Assay

Biofilm inducing conditions were 0.67% (m/v) YNB + 0.5% (m/v) glucose + 100 unit/mL PS liquid media incubated at 37 °C in the presence of 5% (v/v) CO2 for 48 h without shaking. Experiments were carried out in 10% FBS precoated 96-well plates (polystyrene). After two washing steps, 20–20 µL 5 mg/mL 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) solution was added to the suspensions and incubated for 5 h under the same conditions followed by two washing steps with 1× PBS. Insoluble (formazan) residue was formed, which was dissolved in DMSO for 10–15 min, and OD540 were detected by spectrophotometry (SpectroStar Nano). Cell-free culturing media with MTT solution and MTT-free cell suspension samples were applied as controls. At least eight parallels were used in at least three experiments.

2.5.5. Antifungal Susceptibility

Strains were prepared as described above then the concentration was adjusted to 3 × 104 cell/mL by suspending the cells in Roswell Park Memorial Institute 1640 medium supplemented with 34.53 g/L 4-Morpholinepropanesulfonic acid (RPMI-MOPS). Two-fold dilutions of anidulafungin, caspofungin, and micafungin were prepared. Final drug concentrations were from 8 µg/mL to 0.0156 µg/mL with 3 × 103 fungal cells in 200 µL final volume of RPMI-MOPS. Cells were incubated at 30 °C without shaking and monitored after 24 and 48 h. Minimum inhibitory concentration (MIC) values were determined according to the M27-A3 protocol, and MIC values were defined by the M27-S4 supplementary document [54,55]. MIC values for the applied drugs were defined as the lowest concentrations that resulted in at least 50% growth reduction. Experiments were performed in triplicates. In addition to mCherryOE, CPRI, and CLIB214 C. parapsilosis strains, a C. krusei strain with known antifungal susceptibility was also included as a control.

2.5.6. Phagocytosis Assay

The murine macrophage-like cell line J774.2 and each mutant strain were grown as previously described. The fungi were stained with Alexa FluorTM 488 succinimidyl ester dye (Invitrogen) prior to the experiments, according to Papp and colleagues [17]. We then infected J774.2 macrophages with stained yeast cells using the multiplicity of infection (MOI) of 5:1 (pathogen:host) and co-incubated the cells at 37 °C, 5% (v/v) CO2 for 1 h. The wild type strain and non-infected J774.2 macrophages were used as controls to exclude autofluorescence. Samples were measured with Amnis® FlowSight® flow cytometer.

2.5.7. In Vivo Galleria mellonella Infection Model

The larvae (BioSystems Technology-TruLarvTM, Exeter, Devon, England) were kept at 4 °C and transferred to 30 °C one day before the experiment. Mutant yeast strains were tested at least two times with 20 larvae per sample. Concentrations of OE strains were adjusted to 5 × 107 cell/mL. Each larva was injected with 10 µL suspension containing 5 × 105 cells and incubated at 30 °C in dark. Survival was monitored daily for 10 days. Larvae injected with wild type strain, non-injected (witness) G. mellonella larvae, and 1× PBS injected larvae were used as controls.

2.5.8. Cell Wall Composition Assay

To investigate putative alterations in certain cell wall components of the selected mutants (CPAR2_107240OE, CPAR2_108840OE, CPAR2_109520OE, CPAR2_200040OE, CPAR2_302400OE, CPAR2_406400OE, CPAR2_500180OE, and CPAR2_602820OE), ConA-FITC (Sigma-Aldrich, St. Louis, MO, USA), Calcofluor white (Sigma-Aldrich, St. Louis, MO, USA), and WGA-FITC (Sigma-Aldrich, St. Louis, MO, USA) were applied. Samples were prepared as previously described by Tóth and colleagues [29]. The first fluorescent dye mix contained 4 μL 2.5 mg/mL ConA-FITC and 0.5 μL 1 mg/mL Calcofluor white while the second contained 0.25 μL 2 mg/mL WGA-FITC in the final 100 µL volume of 1% BSA + 1× PBS solution. For detection, we used a Zeiss Axio Observer fluorescent microscope, and the means of the different fluorescent dyes were recorded with an Amnis® FlowSight® flow cytometer.

2.5.9. In Vivo Mouse Infection Model

Selected mutant and wild type strains were prepared as described above, and cell concentrations were set to 2 × 108/mL. Mus musculus BALB/c 7–8-week-old females (BRC, Szeged, Hungary, XVI./2015) were infected with 100 µL suspensions through their lateral tail veins. Animals were monitored daily and sacrificed after three days. Brain, liver, spleen, and kidneys were isolated, weighed, and homogenized under sterile conditions in 1x sterile PBS. Following subsequent dilutions, 50–50 µL of samples were plated on YPD plates and incubated for two days at 30 °C. Colony-forming units (CFUs) were determined, and the results were calculated and expressed in CFU/g tissue units. Four or five parallel animals were tested in two independent experiments.

2.6. Ethics Statement

Animal experiments were performed according to Hungarian national animal ethics guidelines (guideline 1998, XXVIII; 40/2013) and European animal ethics guidelines (guideline 2010/63/EU). The procedures were licensed by the Animal Experimentation and Ethics Committee of the Biological Research Centre of the Hungarian Academy of Sciences and the Hungarian National Animal Experimentation and Ethics Board (clearance number XVI./03521/2011), with the University of Szeged granting permission XII./00455/2011 and XVI./3646/2016 to work with mice.

2.7. Statistical Analysis

Statistical analysis was performed using GraphPad Prism 7 software. For the biofilm assay and the phagocytosis analyses, we used one-way ANOVA, Dunnett’s multiple comparisons test. To evaluate the results of the G. mellonella infection experiments Log-rank (Mantel–Cox) tests and, for the assessment of fungal infection in mice, Mann–Whitney tests were used. Statistically significant differences were considered at p-values of ≤ 0.05 (* p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001; **** p ≤ 0.0001).

3. Results

3.1. Generation of an Overexpression Mutant Collection in C. parapsilosis

The examined ORFs were preselected according to our preliminary experiments and related data from the literature (Table S3). Transcriptional analysis of fungi co-incubated with THP-1 human monocytes was performed as previously described by Tóth and co-workers in order to identify genes related to pathogenesis based on their altered expression patterns during infection [29]. We selected 18 differentially expressed genes and 19 additional genes that also have known virulence-related ortholog functions in C. albicans or in S. cerevisiae based on literature prior to generating the OE mutant collection. The 18 differentially expressed genes were also tested in previous KO mutant library analyses in C. parapsilsosis [19,28,29].
To generate overexpression mutants, the GatewayTM system was used. Our work is based on the previous work of Chauvel and colleagues with C. albicans [50], which we modified and optimized for C. parapsilosis [53]. Selected ORFs were amplified along with a 20 nt long bar code (See Table S1 TAG sequences) in the non-transcribed region to enable subsequent identification by molecular methods. Within the expression vector, the cloned ORFs were under the regulation of the TDH3 promoter of C. albicans (Figure S1). The plasmid was then linearized with StuI digestion. The linearized plasmid (or integrative cassette) was then integrated into the CpNEUT5L (CpN5L) intergenic region of C. parapsilosis (Figure S2). We targeted the CpN5L region because, in contrast to the ortholog of RPS1, this locus not only provides a strong homogenous expression for exogenous constructs, but it does not affect the fitness of the transformed/modified strain [53,56]. The expression vector utilizes the C. maltosa LEU2 marker for selection that is compatible with the leucine auxotroph laboratory strain of C. parapsilosis CPL2 [28]. A total of 37 ORFs were amplified, BP cloned, and then sequenced to ensure that there were no SNPs (single-nucleotide polymorphism) present causing any amino acid alterations. The correct integration of the linearized plasmids was verified by colony PCR and Southern-blot analysis (Figure S2). The relative expression of each gene was measured using qPCR and compared to CLIB214. We found that the expression levels varied across a wide range with increases from 2.6-fold to 675.7-fold (Table 1).

3.2. Characterization of the Generated OE Mutant Strains

3.2.1. Overexpression Does Not Affect Growth in either Complete or in Minimal Liquid Media

We applied three control strains in these experiments. CPRI is the C. maltosa LEU2 complemented derivative of the leucine auxotroph CPL2 strain, which was used to generate the mutant collection [28]. CLIB214 is a prototroph isolate and the parental strain of CPL2. We also included an mCherry fluorescent protein-expressing strain as a control OE strain (mCherryOE), which was generated using the same procedure. We found this pertinent because expressing an irrelevant gene (coding a “neutral” protein) in terms of virulence would imitate the same load on the expression machinery, which itself might have an effect on the physiological and virulence properties of the fungus [53].
First, we tested if the overexpression of the selected genes had any effect on the viability of the mutants. To achieve this, we cultivated the strains in YPD and YNB minimal liquid media for 24 h and compared the growth curves to that of the control strains. As a result, we found no significant differences between the growth capacity of the generated mutants compared to the three control strains (Figures S3 and S4), suggesting that the overexpression of these genes did not alter the viability of the OE mutants. Therefore, we included all the strains in the subsequent experiments to examine potential alterations in their virulence and fitness under different stress-inducing conditions, and as a control, we included the wild type CLIB214 strain unless otherwise stated.

3.2.2. Overexpression of Certain Genes Affects Viability under Specific Stress Conditions

As a surrogate for the yeast’s ability to resist severe growth restrictive conditions such as elevated temperatures, different pH levels, or oxidative stressors in the host, a wide variety of the aforementioned stress conditions were applied in vitro to the OE collection on YPD solid media (Table S2). Growth was monitored both at 30 and 37 °C, which represent the regular cultivation temperature of the fungus and the physiological body temperature of humans, respectively. The viability of the mutants was also tested at different temperatures, including 20, 25, 30, 37, and 40 °C on YPD agar plates and at 30, 37 °C on YNB and YNB + FBS solid agar. In this range of temperature, we could not detect any difference in the growth of the examined mutants in comparison to the applied controls, either on complete or minimal media (Figure S5).
Three out of the 37 overexpression mutants showed alteration in their fitness under at least one condition (Table 2). The three control strains had similar growth patterns under different stress conditions (Figure S6). Reduced growth was detected in the presence of Calcofluor white (CFW) or Congo red (CR) with CPAR2_200040OE and CPAR2_302400OE. Susceptibility to sodium dodecyl sulfate (SDS) occurred in the case of CPAR2_109520OE and CPAR2_302400OE, while caffeine intolerance was detected with the CPAR2_302400OE mutant (Table 2). The applied stressors like CFW, CR, and caffeine have negative effects on the wall biogenesis and activate cell wall integrity (CWI) signaling via different components of the pathway. SDS is a membrane perturbing agent, and it has an effect on the integrity of the cell wall as well. Also, SDS can induce protein denaturation and cell lysis [57].
To evaluate the spot assay experiment, the following categories were assessed to compare the growth of the mutants to that of the wild type: No growth (in contrast to the wild type, the mutant did not form any colonies); strong defect (reduced growth was seen in the 104–105 spots, and there was usually no growth at lower cell concentrations); medium defect (reduced growth capacity was observed with the 103–104 spots, the 105 spot showed normal growth, and, usually, the 102 had no growth); slight defect (reduced growth capacity was observable at 102–103 spots, and, usually, the 104–105 spots showed normal growth); no difference (the viability of the mutant was indistinguishable from that of the control).
The fitness of the CPAR2_302400OE strain decreased upon exposure to each of the cell wall–and membrane perturbing agents tested (Figure 1). The viability of this strain in the presence of CR or CFW was reduced in a concentration-dependent manner. Increasing concentration of CR resulted in medium (10, 25, 50, 75 µg/mL) to strong (75 and 100 µg/mL) growth defect. No growth or strong growth defect was observed when CFW was applied in a concentration of 50 µg/mL, while no defect was found at lower stressor concentrations. CPAR2_302400OE was the only mutant that showed a growth defect in the presence of caffeine. A strong growth defect was observed when the cells were incubated in the presence of the membrane perturbing agent SDS.
Slight, medium, or strong reductions in fitness were observed when cells were exposed to CR or CFW agents during the investigation of the CPAR2_200040OE mutant (Figure 1).
The CPAR2_109520OE showed a medium growth defect only in the presence of SDS (Figure 1).

3.2.3. The Examined OE Mutants Did Not Display Any Alterations in Morphology or Pseudohypha Formation

In contrast with C. albicans, C. parapsilosis is unable to form true hypha, although it is able to produce pseudohypha. The capability of reversible switching between yeast and filamentous form is an important virulence factor as it can enhance yeast surface/size and facilitate adhesion. Adhesion can lead to biofilm formation and colonization, which contribute to the intrusion of the fungus into the host cells and subsequent dissemination inside the host. It can also play a protective role for the fungus against the host immune cells and can be a tool to avoid phagocytosis [58]. Genetic elements responsible for dimorphic transition have been explored in C. albicans by gene deletion or expression analysis, and there have been further attempts to reveal morphological and filamentation regulatory functions in other Candida species [59,60,61,62,63]. Studies have concluded that the filamentary regulation pathways revealed in C. albicans are partially (evolutionary) conserved compared to other Candida species (C. parapsilosis, C. tropicalis, C. guilliermondii, C. dubliniensis) [61,64].
The screen of the OE strain collection for potential alterations in pseudophypha formation in two different liquid media at 37 °C and 5% (v/v) CO2 using a light microscope (qualitative analysis) as well as the Amnis® FlowSight® flow cytometer (quantitative analysis) revealed no detectable alterations in the mutants’ capacity to form pseudohypha (Table S4 and Figure S7).

3.2.4. Overexpression of the CPAR2_302400 Gene Resulted in Attenuated Biofilm Formation

Adherence and morphology switching can facilitate or strengthen biofilm formation and the virulence of a pathogenic fungal species, and C. parapsilosis forms biofilms on the surfaces of various medical devices, enabling nosocomial systemic infections [65]. Holland et al. examined C. albicans and C. parapsilosis biofilm-associated genes and concluded that different factors are responsible for biofilm development in these two species. While CZF1, UME6, CPH2, and GZF3 are the major regulators for C. parapsilosis biofilm formation, in C. albicans BRG1 and TEC1 were found to be the central regulators of this process [28,66]. Building on the data gained from C. parapsilosis transcriptome and KO collection analyses, we aimed to utilize the complementary OE strategy to investigate this attribute of the fungus under biofilm-inducing conditions by monitoring their metabolic activity. We found that only CPAR2_302400OE showed attenuated biofilm formation compared to the control strain (Figure 2 and Figure S8).

3.2.5. Overexpression of Selected Genes Did Not Affect Tolerance to Echinocandins

Echinocandins represent the primary therapy to treat candidaemia in clinical practice; however, C. parapsilosis isolates show higher tolerance to these drugs compared to other Candida species [2,17,67]. A possible explanation for this is that C. parapsilosis isolates tend to accumulate point mutations in the hot spot region of antifungal resistance-related genes, causing a gain-of-function phenotype leading to increases in the tolerance to echinocandins [16]. To test how the overexpression of the selected genes affects the susceptibility of the mutants to echinocandins, the MICs of each of the strains to the three major members of this class of drugs were determined. The OE mutants displayed similar MICs to those of the control strains independently of whether anidulafungin (ANF), caspofungin (CAF), or micafungin (MIF) was applied. After 48 h of incubation, the MICANF values of the mutants and the C. parapsilosis control strains were 2–4 µg/mL, both MICCAF and MICMIF values were 1–2 µg/mL, while higher sensitivity was recorded in the case of C. krusei (MICANF: 0.125–0.25 µg/mL; MICCAF: 0.5 µg/mL; MICMIF: 0.25 µg/mL). These results are in line with the literature [68,69] (Table S5).

3.2.6. Overexpression of Certain Genes Interferes with Resistance to Phagocytosis by J774.2 Cells

Phagocytes represent the primary cellular components of the innate immune system to fight against Candida cells reaching the tissues. Macrophages are among the first line of cellular responders that combat fungal invasion by rapidly infiltrating to the site of the infection, where they attempt to ingest and eliminate yeast cells. However, successful fungal pathogens have evolved specific mechanisms through which they are capable of interfering with macrophage responses, and some can even survive within macrophages, indicating that the capability of an intruding pathogen to avoid endocytosis and lysis by the host immune system is an important virulence trait [70,71,72,73]. To investigate if the OE strains had altered interactions with host phagocytic cells, we fluorescently labeled the OE strains with Alexa FluorTM 488 succinimidyl ester dye (Invitrogen) and co-cultured them with J774.2 murine macrophage-like cells in vitro. We monitored the phagocytic efficiency after 1 h using Amnis® FlowSight® flow cytometer by determining the percentages of the phagocytic activity of each sample and normalized to CLIB214 control values. We identified three strains (CPAR2_108840OE, CPAR2_109520OE, CPAR2_200040OE) that were more efficiently phagocytosed and two strains (CPAR2_406400OE, CPAR2_500180OE) that were less effectively phagocytosed by murine macrophages (Figure 3).

3.2.7. Overexpression of Certain Genes Regulate Virulence Related Processes in Galleria mellonella Larvae Model

Galleria mellonella larvae possess similar humoral and cellular innate immune mechanisms as mammalian hosts; therefore, this insect is widely used as a substitute model for vertebrate infection experiments in order to reduce mammalian consumption. To reveal if the overexpression of the selected genes had an effect on the virulence of C. parapsilosis in this model, G. mellonella larvae were infected with the OE strains, and their survival was monitored. Shortly after the injection, the larvae became brownish due to a process called melanization. This is a common and rapid reaction of insects against any kind of foreign particles (including pathogens), whereby the hemocytes surround the foreign particle and start producing melanin via a multistep biochemical process [74]. In the case of G. mellonella, the melanization occurs within minutes after injection with C. parapsilosis. Melanization failed to occur following infection with CPAR2_302400OE, but there were similar survival rates to that of the control strain. However, we identified three melanin-inducing strains (CPAR2_107240OE, CPAR2_109520OE, and CPAR2_602820OE) that were more virulent compared to the control strain (Figure 4)

3.2.8. Overexpression of the Selected Genes Does Not Affect Certain Components of the Cell Wall

Based on the results of the aforementioned experiments, certain components of the cell wall (chitin and its oligomer compounds and alpha mannan content) were further examined using specific cell wall stains. We found that none of the examined mutant strains showed an alteration compared to the control strains, neither in the distribution nor in the amount of the examined elements of the cell wall (Figure S9).

3.2.9. CPAR2_109520 and CPAR2_302400 Differentially Alter Fungal Burden in Organs within Mus Musculus

We next examined the virulence of two OE mutant strains in a mouse infection model, which represents the “gold” standard of in vivo infection models. We selected CPAR2_109520OE because it was more virulent than the control strain in the G. melonella model. We also chose CPAR2_302400OE, which was not significantly different from the wild type in terms of the survival of G. mellonella, but it did not induce melanization in the larvae. In the case of CPAR2_302400OE, we detected elevated fungal burdens in the brain and kidney tissues, while there were lower CFUs in the spleens and livers. CPAR2_109520OE also had higher CFU levels in brain samples, while there was a reduced splenic fungal burden (Figure 5).

4. Discussion

The aim of this study was to generate and rigorously examine an OE mutant strain collection with the purpose of identifying virulence factors in C. parapsilosis. We investigated stress tolerance, morphology switch, biofilm-forming capacity, phagocytosis, and in vivo virulence in G. mellonella larvae and BALB/c mice. During our examinations, we found eight OE mutants with altered phenotype compared to the applied control strains. Both the CPAR2_109520OE and CPAR2_302400OE mutants showed an altered phenotype under three conditions, the CPAR2_200040OE strain under two conditions, while the other five mutant strains under a single condition compared to the control strains (Figure 6, Table S6). In addition, the CPAR2_109520OE and CPAR2_302400OE mutants were selected for murine experiments, and alterations in CFU values in different tissues were found relative to the wild type control strain. During the investigation of morphology, pseudohypha formation, and antifungal susceptibility, we detected no alterations in the OE strains compared to controls (Figure 6).
Recently, the function of three of the examined 37 genes was determined by Cillingova and co-workers [19]. The CPAR2_100460 (CpHBT4), the CPAR2_100470 (CpHBT3), and the CPAR2_204840 (CpHBT2) genes were confirmed as hydroxybenzoate transporters. The investigators reported that the CpHBT4 deletion mutant showed resistance to caffeine and altered sensitivity to caspofungin and fluconazole; however, we found no alteration under any tested conditions in the case of the OE parallel mutant strains. The function of 18 of the 37 genes’ orthologs has already been confirmed in S. cerevisiae, while 15 orthologs functions have been examined in C. albicans [25]. Notably, CPAR2_200040 has no confirmed functional ortholog in either of these other yeast species.
In order to further evaluate the results, we compared the data from the OE collection analysis to the results derived from previous KO mutant library characterizations. According to Prelich, during comparison of the KO and the OE phenotype of the same gene, three phenomena can be observed: opposite (hypermorph or hypomorph) phenotypes (−/+; +/−); similar phenotypes (−/−; +/+; 0/0); no phenotype versus altered (neomorph or antimorph) properties (−/0 or 0/−; +/0 or 0/+) [36]. Amongst the studied OE mutant strains here, there are 12 [29], four [28], and three [19] (18 different genes in total) KOs available in C. parapsilosis that were characterized with similar methods, and importantly, they have common genetic background enabling proper comparison of the mutant pairs (Table S3).
The ortholog gene to CPAR2_109520 encodes a transcriptional corepressor protein, CaTUP1, which represses filamentous growth [75]. The CPAR2_109520OE mutant displayed alterations in stress tolerance, phagocytosis, and both in vivo experiments. This OE mutant showed a medium growth defect only in the presence of SDS at 30 and 37 °C and was more avidly endocytosed by macrophages. A similar reduction in growth was also observed in a C. parapsilosis deletion mutant of the gene in question (with additional sensitivity to other conditions as well) [28]. The C. albicans TUP1 null mutant showed abnormal colony morphology and increased filamentous growth compared to its originating strain [75,76,77,78]. A previous study also examining virulence in a C. albicans TUP1 KO found reductions in adhesion, invasion, and damage with oral epithelial cells [79]. Although we also recorded reduced virulence properties of the CPAR2_109520OE mutant in in vitro experiments, we found this mutant to be more virulent than the wild type C. parapsilosis control strain in G. mellonella model.
The putative ortholog of the CPAR2_302400 gene functions as a DNA repair methyltransferase (ScMGT1) in S. cerevisiae [80,81]. The null mutant of this gene in S. cerevisiae showed increased growth in competitive fitness analysis [30], but there was no significant alteration in a biofilm assay [82]. A C. albicans null mutant also displayed normal phenotype in fitness analysis [27]; however, a C. parapsilosis KO showed decreased adhesive properties, but there was not any difference in its biofilm-forming capacity compared to the control strain [83]. In the current study, the G. mellonella model confirmed the importance of melanization against invading pathogens. The only OE strain that was coupled with the absence of melanization was CPAR2_302400OE, which produced a survival curve similar to that of the control strain. Although we could not detect any alteration in phagocytosis efficiency, the mutant showed severe growth defects in other important virulence properties such as stress tolerance or biofilm formation. The fitness of the CPAR2_302400OE strain decreased upon exposure to each of the cell wall and membrane perturbing agents (CFW, CR, SDS, and caffeine). This mutant was the only one out of the 37 tested whose growth was reduced in the presence of caffeine and the only one that showed decreased biofilm production. Biofilm formation enables invasion while concomitantly providing protection of the pathogen from different antifungal agents and helps avoid recognition by host immune cells. C. parapsilosis is able to form biofilm on the surfaces of various medically used devices, thus it is a notable virulence factor [65]. This is the first report to connect the CPAR2_302400 gene function to the biofilm regulatory network of C. parapsilosis, and thus to the pathogenicity of this species.
To further investigate the virulence properties of the strains, we selected two OE strains for study in a mammalian model. We chose a strain with increased virulence in the larval model, CPAR2_109520OE, and one that did not induce larval melanization but had virulence similar to the control strain, CPAR2_302400OE. The G. mellonella larvae and murine data suggest different invasion efficiencies of the mutants in diverse tissues or various mechanism or capacity of fungi depletion in the examined organs. Significantly higher fungal burdens were enumerated in the brains of mice infected with the CPAR2_109520OE mutant, while lower CFU numbers were observed in the spleen. For CPAR2_302400OE, which was similar to wild type control yeast in G. mellonella, significantly higher CFUs were found in both the brains and kidneys of challenged mice, while lower counts were enumerated in the spleens and livers. Other comparative studies examining the correlation between the results derived from the wax moth and murine infections have also shown discordant results [84,85,86]. Nevertheless, monitoring survival in mice is not optimal in the case of many NAC species like C. parapsilosis, since they do not cause lethal infections in this species, while lethality can be measured in insect models [87]. Interestingly, in a mouse systemic infection model, the C. albicans TUP1 (CPAR2_109520 gene’s ortholog) null mutant, showed decreased virulence [78], whereas another study reported no mortality 30 days after i.v. infection with the same mutant [88]. Further, C. albicans MGT1 (the ortholog of CPAR2_302400) null mutant displayed no altered phenotype in competitive experiments during i.v. infection in mice [27]. These findings underscore the imperative to explore pathogenesis studies in individual Candida species as determinations made with C. albicans cannot routinely be extrapolated to have similar behaviors in these biologically different pathogens.
The CPAR2_107240OE and CPAR2_602820OE mutants were also more virulent in G. mellonella experiments. The CaKTR4/MNT4 (CPAR2_107240 gene’s ortholog) gene was verified as a mannosyltranferase in C. albicans where it has a role in N-linked glycosylation and cell wall regeneration [89]. The null mutant of the gene showed normal growth capacity, morphology, and competitive fitness in pooled mice infection model [27]. Only the double, triple, quadruple, or quintuple deletion of the CaMNT1-2-3-4-5 genes in different combinations (but not the single ones) resulted in mutants with altered cell wall content and elevated sensitivity to cell wall perturbing agents (CFW or SDS), indicating that MNT genes of C. albicans have redundant functions [89]. Changes in the composition of the cell wall imply alterations in host-pathogen interactions as well [89]. The CPAR2_602820 ortholog gene (CaFCA1) encodes a cytosine deaminase, an enzyme of pyrimidine salvage [90,91]. The C. albicans null mutant was resistant to flucytosine [92]. However, there has been no information about the ortholog genes in connection with host-pathogen interactions in C. parapsilosis.
The CPAR2_200040OE mutant displayed defects in stress tolerance and phagocytosis compared to control strains. The mutant showed slight, medium or strong reduction in fitness in the presence of CR and CFW and displayed elevated uptake by murine macrophages. The function of this gene ortholog’s function is unknown. Interestingly, the corresponding KO mutant of this strain was resistant to CFW compared to the control strain, further confirming the role of CPAR2_200040 in cell wall assembly regulation of C. parapsilosis [29].
The CPAR2_108840OE, CPAR2_406400OE, and the CPAR2_500180OE mutants showed altered phenotypes only in the context of phagocytosis experiments. The CPAR2_108840OE mutant was more efficiently phagocytosed by macrophages. The function of ScSPS1 (CPAR2_108840 gene’s ortholog) is putatively a serine/threonine kinase, which is involved in spore packaging in S. cerevisiae [93]. Its KO parallel was sensitive to SDS in C. parapsilosis [29], while it displayed a normal phenotype in C. albicans [27]. However, the gene has not previously been linked to virulence. We also recorded lower phagocytic events with the CPAR2_406400OE mutant strain. The ortholog gene, ScRPA12, was identified in S. cerevisiae as an RNA polymerase I subunit [94]. Chaillot and colleagues found that this gene has a role in cell size homeostasis in C. albicans [95], but it has not been associated with virulence regulation. The CPAR2_500180OE mutant displayed a more virulent phenotype in phagocytosis experiments compared to the control strain. Its gene ortholog is ScKIN3, which encodes a nonessential serine/threonine protein kinase that has a possible role in DNA damage responses [96,97,98]. Its KO parallel was susceptible to Congo red and caffeine in C. parapsilosis [29] and showed increased cell size and decreased resistance to caspofungin in C. albicans [99,100]. In S. cerevisiae, its overexpression caused a reduction in vegetative growth, abnormal cellular morphology, and cell cycle [45]; however, we did not observe any of the aforementioned effects. According to the phagocytosis experiments in this study, we monitored alterations occurring at the phases of recognition and uptake. Both recognition and endocytosis primarily depend on the recognition of specific cell wall components of the pathogen. Fungal evasion of recognition occurs via masking these structures or changing morphology type by the fungi [70]. Our results suggest that differences in cell wall composition of these OE mutant strains cause the observed altered phagocytic efficiencies.
During the OE and KO phenotype comparisons, we found variations in phenotypes in the case of CPAR2_200040OE when we examined CFW tolerance and in vitro host-pathogen interactions [29]. Similar phenotypes were observed with two OE mutants and their KO counterparts. The C. parapsilosis KO pair of the examined CPAR2_109520OE mutant was sensitive to SDS. In addition to this, the CPAR2_302400OE mutant strain showed decreased adhesive properties, although there was no difference in its biofilm-forming capacity compared to the control strain, while the OE mutant displayed less biofilm formation [29]. We also found absences of phenotypic alterations in OE, KO, or both parallel mutants based on the literature. The CPAR2_108840 deletion mutant was resistant to SDS, while we did not notice such alterations in the OE strain [29]. Neither the CPAR2_500180OE mutant nor its KO pair displayed any alterations under similar experimental conditions [29]. For the CPAR2_602820OE mutant, we found no changes in its fitness during the spot assay analysis, while its deletion strain showed mild and strong defects in growth on minimal media at 30 and 37 °C (Table S6). When only S. cerevisiae or C. albicans mutant collection analysis data were available, comparisons were more challenging. Additionally, it was necessary to consider whether the overexpressed genes were not unique or correctly manifest when a lack of gain-of-function or no reversed phenotype was observed [36]. In several cases, the OE and the KO phenotypes of a given gene did not complement each other. In addition to this, the applied control strains could influence the interpretation of the results. Therefore, in approaching this task, we also assessed the use of the reintegrated CPRI and an overexpressing strain mCherryOE as controls in addition to the wild type CLIB214 in fitness-related experiments. We found that it was more appropriate to apply the neutral gene carrier OE strain mCherryOE, rather than a mutant bearing an empty cassette as a control in order to exclude any alteration in fitness derived from the integration and/or the continuous operation of the expression cassette itself (due to the presence of a constitutive promoter) [42,46,53]. As we found no alteration between the three control strains that we examined in preliminary investigations, we selected CLIB214 wild type as the control for subsequent experiments.
Although we examined diverse effects in our OE collection, several important additional areas remain to be explored if genes are examined in a targeted manner using gene deletion or overexpression strategies. These include the (1) gene dosage effect, (2) information about their interactions with other genes and (3) the subsequent transcriptomic effects, (4) off-target mutations, (5) universal behavior in various strains, and (6) the RNA level of an overexpressed gene (what we can measure) does not necessarily correlate with that of the protein it encodes [36,45,101,102,103]. Similar to our findings, previous studies in C. albicans did not find any OE mutants with increased fitness [42,46]. Notably, there is a substantial energy cost to a cell when a gene is duplicated or artificially overexpressed. According to Wagner, increasing protein synthesis above 10% negatively affects the health of the cell [104]. The function of the query gene also can determine the resulting phenotype, for example, periodically changing genes like cell cycle control genes [45]. So, the detected phenotype depends on the genuine function of the targeted gene. Nevertheless, our work clearly indicates that the application of the OE approach is an effective starting point to explore gene functions, especially when a prescreen (RNAseq data or known function of orthologs) for selected genes is possible. Rapid systematic analysis of the OE mutant collection (including stressors, biofilm formation, in vitro and in vivo infection models) can identify previously unknown virulence-associated genes, which can be analyzed further to reveal gene-specific functions.
In summary, this study was the first attempt to use an OE strategy to comprehensively examine gene function in C. parapsilosis. Significantly, the findings clearly associate CPAR2_107240, CPAR2_406400, and CPAR2_602820 with the virulence of C. parapsilosis. Our results show that OE approaches are a relevant method for gene function analysis in this lethal, emerging fungus and that OE methods can define new virulence pathways in C. parapsilosis.

Supplementary Materials

The following are available online at https://www.mdpi.com/2309-608X/7/2/97/s1, Figure S1: The schematic figure of the OE vector. Figure S2: Representative figures of the methods for verification of the generated OE mutant strains. Figure S3: Results of the growth kinetic measurements in complete media (YPD). Figure S4: Results of the growth kinetic measurements in minimal media (YNB + 0.5% (m/v) glucose). Figure S5: Results of the growth analyses on solid minimal media and with additional serum. Figure S6: Results of the growth analyses of the 3 control strains on solid media supplemented with different stress agents. Figure S7: Representative figures from pseudohypha analysis by Amnis® FlowSight® flow cytometer. Figure S8: Biofilm forming capacity of the overexpression mutants. Figure S9: Cell wall component analysis of the selected mutants. Table S1: Strains and primers used in this study. Table S2: Applied stressors and their concentrations in solid YPD media for spot assay analysis. Table S3: The list of the selected genes for OE analysis. Table S4: The results of pseudohypha formation experiments. Table S5: The results of the antifungal susceptibility analysis. Table S6: The summarized results of the OE mutant collection analysis.

Author Contributions

Conceptualization, A.G., T.N.; methodology, T.N., S.E.P.; software, S.E.P.; validation, T.N., S.E.P.; formal analysis, T.N., S.E.P.; investigation, T.N., S.E.P.; resources, A.G., C.V.; data curation, T.N., S.E.P., R.T., and J.D.N.; writing—original draft preparation, S.E.P.; writing—review and editing, T.N., R.T., A.G., and J.D.N.; visualization, S.E.P.; supervision, T.N., A.G., C.V.; project administration, T.N., A.G.; funding acquisition, A.G. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants 20391-3/2018/FEKUSTRAT, NKFIH K 123952, and GINOP-2.3.2.-15-2016-00035. S.E.P. was funded by Richter Gedeon Talentum Foundation. A.G. was further funded by LP2018-15/2018. T.N. was supported by the Postdoctoral Fellowship Programme of the Hungarian Academy of Sciences.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of University of Szeged (protocol code XVI./3652/2016, date of approval: 05. 10. 2016).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in “A Candida parapsilosis Overexpression Collection Reveals Genes Required for Pathogenesis”.

Acknowledgments

We wish to thank Katalin Csonka for the help with mouse experiments and Erik Zajta and Csaba Papp for the assistant in flow cytometry analysis. We are grateful to Geraldine Butler for kindly providing CLIB214, CPL2, CPRI fungal strains. We are thankful to Christophe d’Enfert for the vector pCA-DEST1300.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Warnock, D.W. Trends in the epidemiology of invasive fungal infections. Nippon Ishinkin Gakkai Zasshi 2007, 48, 1–12. [Google Scholar] [CrossRef] [Green Version]
  2. Pfaller, M.A.; Diekema, D.J. Epidemiology of invasive Candidiasis: A persistent public health problem. Clin. Microbiol. Rev. 2007, 20, 133–163. [Google Scholar] [CrossRef] [Green Version]
  3. Cleveland, A.A.; Farley, M.M.; Harrison, L.H.; Stein, B.; Hollick, R.; Lockhart, S.R.; Magill, S.S.; Derado, G.; Park, B.J.; Chiller, T.M.; et al. Changes in incidence and antifungal drug resistance in Candidemia: Results from population-based laboratory surveillance in Atlanta and Baltimore, 2008–2011. Clin. Infect. Dis. 2012, 55, 1352–1361. [Google Scholar] [CrossRef]
  4. Siopi, M.; Tarpatzi, A.; Kalogeropoulou, E.; Damianidou, S.; Vasilakopoulou, A.; Vourli, S.; Pournaras, S.; Meletiadis, J. Epidemiological trends of fungemia in greece with a focus on Candidemia during the recent financial crisis: A 10-Year survey in a tertiary care academic hospital and review of literature. Antimicrob. Agents Chemother. 2020, 64, e01516-19. [Google Scholar] [CrossRef]
  5. Fridkin, S.K.; Kaufman, D.; Edwards, J.R.; Shetty, S.; Horan, T. Changing incidence of Candida bloodstream infections among NICU patients in the United States: 1995–2004. Pediatrics 2006, 117, 1680–1687. [Google Scholar] [CrossRef]
  6. Juyal, D.; Sharma, M.; Pal, S.; Rathaur, V.K.; Sharma, N. Emergence of non-albicans Candida species in neonatal candidemia. N. Am. J. Med. Sci. 2013, 5, 541–545. [Google Scholar] [CrossRef] [Green Version]
  7. Yapar, N. Epidemiology and risk factors for invasive candidiasis. Ther. Clin. Risk Manag. 2014, 10, 95–105. [Google Scholar] [CrossRef] [Green Version]
  8. White, M.H. Editorial response: The contribution of fluconazole to the changing epidemiology of invasive Candidal infections. Clin. Infect. Dis. 1997, 24, 1129–1130. [Google Scholar] [CrossRef] [Green Version]
  9. Nucci, M.; Marr, K.A. Emerging fungal diseases. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2005, 41, 521–526. [Google Scholar] [CrossRef] [Green Version]
  10. Cleveland, A.A.; Harrison, L.H.; Farley, M.M.; Hollick, R.; Stein, B.; Chiller, T.M.; Lockhart, S.R.; Park, B.J. Declining incidence of Candidemia and the shifting epidemiology of Candida resistance in two US Metropolitan Areas, 2008–2013: Results from population-based surveillance. PLoS ONE 2015, 10, e0120452. [Google Scholar] [CrossRef] [Green Version]
  11. Papon, N.; Courdavault, V.; Clastre, M.; Bennett, R.J. Emerging and emerged pathogenic Candida species: Beyond the Candida albicans paradigm. PLoS Pathog. 2013, 9, e1003550. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Clark, T.A.; Slavinski, S.A.; Morgan, J.; Lott, T.; Arthington-Skaggs, B.A.; Brandt, M.E.; Webb, R.M.; Currier, M.; Flowers, R.H.; Fridkin, S.K.; et al. Epidemiologic and molecular characterization of an outbreak of Candida parapsilosis bloodstream infections in a community hospital. J. Clin. Microbiol. 2004, 42, 4468–4472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Kuhn, D.M.; Mikherjee, P.K.; Clark, T.A.; Pujol, C.; Chandra, J.; Hajjeh, R.A.; Warnock, D.W.; Soil, D.R.; Ghannoum, M.A. Candida parapsilosis characterization in an outbreak setting. Emerg. Infect. Dis. 2004, 10, 1074–1081. [Google Scholar] [CrossRef] [PubMed]
  14. Pammi, M.; Holland, L.; Butler, G.; Gacser, A.; Bliss, J.M. Candida parapsilosis is a significant neonatal pathogen: A systematic review and meta-analysis. Pediatr. Infect. Dis. J. 2013, 32, e206–e216. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Harrington, R.; Kindermann, S.L.; Hou, Q.; Taylor, R.J.; Azie, N.; Horn, D.L. Candidemia and invasive candidiasis among hospitalized neonates and pediatric patients. Curr. Med. Res. Opin. 2017, 33, 1803–1812. [Google Scholar] [CrossRef] [PubMed]
  16. Tóth, R.; Nosek, J.; Mora-Montes, H.M.; Gabaldon, T.; Bliss, J.M.; Nosanchuk, J.D.; Turner, S.A.; Butler, G.; Vágvölgyi, C.; Gácser, A.; et al. Candida parapsilosis: From genes to the bedside. Clin. Microbiol. Rev. 2019, 32, e00111-18. [Google Scholar] [CrossRef] [Green Version]
  17. Papp, C.; Kocsis, K.; Tóth, R.; Bodai, L.; Willis, J.R.; Ksiezopolska, E.; Lozoya-Pérez, N.E.; Vágvölgyi, C.; Mora Montes, H.; Gabaldón, T.; et al. Echinocandin-induced microevolution of Candida parapsilosis influences virulence and abiotic stress tolerance. mSphere 2018, 3. [Google Scholar] [CrossRef] [Green Version]
  18. Gácser, A.; Trofa, D.; Schäfer, W.; Nosanchuk, J.D. Targeted gene deletion in Candida parapsilosis demonstrates the role of secreted lipase in virulence. J. Clin. Investig. 2007, 117, 3049–3058. [Google Scholar] [CrossRef] [Green Version]
  19. Cillingová, A.; Zeman, I.; Tóth, R.; Neboháčová, M.; Dunčková, I.; Hölcová, M.; Jakúbková, M.; Gérecová, G.; Pryszcz, L.P.; Tomáška, Ľ.; et al. Eukaryotic transporters for hydroxyderivatives of benzoic acid. Sci. Rep. 2017, 7, 8998. [Google Scholar] [CrossRef] [Green Version]
  20. Zoppo, M.; Di Luca, M.; Franco, M.; Rizzato, C.; Lupetti, A.; Stringaro, A.; De Bernardis, F.; Schaudinn, C.; Barrasa, M.I.; Bottai, D.; et al. CpALS4770 and CpALS4780 contribution to the virulence of Candida parapsilosis. Microbiol. Res. 2020, 231, 126351. [Google Scholar] [CrossRef]
  21. Butler, G.; Rasmussen, M.D.; Lin, M.F.; Santos, M.A.S.; Sakthikumar, S.; Munro, C.A.; Rheinbay, E.; Grabherr, M.; Forche, A.; Reedy, J.L.; et al. Evolution of pathogenicity and sexual reproduction in eight Candida genomes. Nature 2009, 459, 657–662. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Pryszcz, L.P.; Németh, T.; Gácser, A.; Gabaldón, T. Unexpected genomic variability in clinical and environmental strains of the pathogenic yeast Candida parapsilosis. Genome Biol. Evol. 2013, 5, 2382–2392. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Logue, M.E.; Wong, S.; Wolfe, K.H.; Butler, G. A genome sequence survey shows that the pathogenic yeast Candida parapsilosis has a defective MTLa1 allele at its mating type locus. Eukaryot. Cell 2005, 4, 1009–1017. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Nosek, J.; Holesova, Z.; Kosa, P.; Gacser, A.; Tomaska, L. Biology and genetics of the pathogenic yeast Candida parapsilosis. Curr. Genet. 2009, 55, 497–509. [Google Scholar] [CrossRef] [PubMed]
  25. Candida Parapsilosis CDC317 Genome Snapshot/Overview. Available online: http://www.candidagenome.org/cache/C_parapsilosis_CDC317_genomeSnapshot.html (accessed on 16 November 2020).
  26. Candida albicans SC5314 Genome Snapshot/Overview. Available online: http://www.candidagenome.org/cache/C_albicans_SC5314_genomeSnapshot.html (accessed on 16 November 2020).
  27. Noble, S.M.; French, S.; Kohn, L.A.; Chen, V.; Johnson, A.D. Systematic screens of a Candida albicans homozygous deletion library decouple morphogenetic switching and pathogenicity. Nat. Genet. 2010, 42, 590–598. [Google Scholar] [CrossRef] [Green Version]
  28. Holland, L.M.; Schröder, M.S.; Turner, S.A.; Taff, H.; Andes, D.; Grózer, Z.; Gácser, A.; Ames, L.; Haynes, K.; Higgins, D.G.; et al. Comparative phenotypic analysis of the major fungal pathogens Candida parapsilosis and Candida albicans. PLOS Pathog. 2014, 10, e1004365. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Tóth, R.; Cabral, V.; Thuer, E.; Bohner, F.; Németh, T.; Papp, C.; Nimrichter, L.; Molnár, G.; Vágvölgyi, C.; Gabaldón, T.; et al. Investigation of Candida parapsilosis virulence regulatory factors during host-pathogen interaction. Sci. Rep. 2018, 8, 1346. [Google Scholar] [CrossRef] [Green Version]
  30. Breslow, D.K.; Cameron, D.M.; Collins, S.R.; Schuldiner, M.; Stewart-Ornstein, J.; Newman, H.W.; Braun, S.; Madhani, H.D.; Krogan, N.J.; Weissman, J.S.; et al. A comprehensive strategy enabling high-resolution functional analysis of the yeast genome. Nat. Methods 2008, 5, 711–718. [Google Scholar] [CrossRef] [Green Version]
  31. Verma, R.; Pradhan, D.; Maseet, M.; Singh, H.; Jain, A.K.; Khan, L.A. Genome-wide screening and in silico gene knockout to predict potential candidates for drug designing against Candida albicans. Infect. Genet. Evol. 2020, 80, 104196. [Google Scholar] [CrossRef]
  32. Noble, S.M.; Johnson, A.D. Strains and strategies for large-scale gene deletion studies of the diploid human fungal pathogen Candida albicans. Eukaryot. Cell 2005, 4, 298–309. [Google Scholar] [CrossRef] [Green Version]
  33. Reuss, O.; Vik, A.; Kolter, R.; Morschhäuser, J. The SAT1 flipper, an optimized tool for gene disruption in Candida albicans. Gene 2004, 341, 119–127. [Google Scholar] [CrossRef]
  34. Lombardi, L.; Salzberg, L.I.; Cinnéide, E.Ó.; O’Brien, C.; Butler, G. Large-scale generation of mutant strains in Candida parapsilosis using CRISPR-Cas9. Access Microbiol. 2019, 1, 695. [Google Scholar] [CrossRef]
  35. Vyas, V.K.; Barrasa, M.I.; Fink, G.R. A Candida albicans CRISPR system permits genetic engineering of essential genes and gene families. Sci. Adv. 2015, 1, e1500248. [Google Scholar] [CrossRef] [Green Version]
  36. Prelich, G. Gene overexpression: Uses, mechanisms, and interpretation. Genetics 2012, 190, 841–854. [Google Scholar] [CrossRef] [Green Version]
  37. Rorth, P.; Szabo, K.; Bailey, A.; Laverty, T.; Rehm, J.; Rubin, G.M.; Weigmann, K.; Milan, M.; Benes, V.; Ansorge, W.; et al. Systematic gain-of-function genetics in Drosophila. Development 1998, 125, 1049–1057. [Google Scholar]
  38. Palatnik, J.F.; Allen, E.; Wu, X.; Schommer, C.; Schwab, R.; Carrington, J.C.; Weigel, D. Control of leaf morphogenesis by microRNAs. Nature 2003, 425, 257–263. [Google Scholar] [CrossRef] [Green Version]
  39. Chua, G.; Morris, Q.D.; Sopko, R.; Robinson, M.D.; Ryan, O.; Chan, E.T.; Frey, B.J.; Andrews, B.J.; Boone, C.; Hughes, T.R.; et al. Identifying transcription factor functions and targets by phenotypic activation. Proc. Natl. Acad. Sci. USA 2006, 103, 12045–12050. [Google Scholar] [CrossRef] [Green Version]
  40. Liu, Y.; Kern, J.T.; Walker, J.R.; Johnson, J.A.; Schultz, P.G.; Luesch, H. A genomic screen for activators of the antioxidant response element. Proc. Natl. Acad. Sci. USA 2007, 104, 5205–5210. [Google Scholar] [CrossRef] [Green Version]
  41. Schubert, S.; Barker, K.S.; Znaidi, S.; Schneider, S.; Dierolf, F.; Dunkel, N.; Aïd, M.; Boucher, G.; Rogers, P.D.; Raymond, M.; et al. Regulation of efflux pump expression and drug resistance by the transcription factors Mrr1, Upc2, and Cap1 in Candida albicans. Antimicrob. Agents Chemother. 2011, 55, 2212–2223. [Google Scholar] [CrossRef] [Green Version]
  42. Cabral, V.; Znaidi, S.; Walker, L.A.; Martin-Yken, H.; Dague, E.; Legrand, M.; Lee, K.; Chauvel, M.; Firon, A.; Rossignol, T.; et al. Targeted changes of the cell wall proteome influence Candida albicans ability to form single- and multi-strain biofilms. PLoS Pathog. 2014, 10, e1004542. [Google Scholar] [CrossRef] [Green Version]
  43. Schillig, R.; Morschhäuser, J. Analysis of a fungus-specific transcription factor family, the Candida albicans zinc cluster proteins, by artificial activation. Mol. Microbiol. 2013, 89, 1003–1017. [Google Scholar] [CrossRef]
  44. Schwarzmüller, T.; Ma, B.; Hiller, E.; Istel, F.; Tscherner, M.; Brunke, S.; Ames, L.; Firon, A.; Green, B.; Cabral, V.; et al. Systematic phenotyping of a large-scale Candida glabrata deletion collection reveals novel antifungal tolerance genes. PLoS Pathog. 2014, 10, e1004211. [Google Scholar] [CrossRef] [Green Version]
  45. Sopko, R.; Huang, D.; Preston, N.; Chua, G.; Papp, B.; Kafadar, K.; Snyder, M.; Oliver, S.G.; Cyert, M.; Hughes, T.R.; et al. Mapping pathways and phenotypes by systematic gene overexpression. Mol. Cell 2006, 21, 319–330. [Google Scholar] [CrossRef]
  46. Znaidi, S.; van Wijlick, L.; Hernández-Cervantes, A.; Sertour, N.; Desseyn, J.-L.; Vincent, F.; Atanassova, R.; Gouyer, V.; Munro, C.A.; Bachellier-Bassi, S.; et al. Systematic gene overexpression in Candida albicans identifies a regulator of early adaptation to the mammalian gut. Cell. Microbiol. 2018, 20, e12890. [Google Scholar] [CrossRef] [Green Version]
  47. Rine, J. Gene overexpression in studies of Saccharomyces cerevisiae. Methods Enzymol. 1991, 194, 239–251. [Google Scholar] [CrossRef]
  48. Zordan, R.E.; Galgoczy, D.J.; Johnson, A.D. Epigenetic properties of white–opaque switching in Candida albicans are based on a self-sustaining transcriptional feedback loop. Proc. Natl. Acad. Sci. USA 2006, 103, 12807–12812. [Google Scholar] [CrossRef] [Green Version]
  49. Fu, Y.; Luo, G.; Spellberg, B.J.; Edwards, J.E.; Ibrahim, A.S. Gene overexpression/suppression analysis of candidate virulence factors of Candida albicans. Eukaryot. Cell 2008, 7, 483–492. [Google Scholar] [CrossRef] [Green Version]
  50. Chauvel, M.; Nesseir, A.; Cabral, V.; Znaidi, S.; Goyard, S.; Bachellier-Bassi, S.; Firon, A.; Legrand, M.; Diogo, D.; Naulleau, C.; et al. A Versatile overexpression strategy in the pathogenic yeast Candida albicans: Identification of regulators of morphogenesis and fitness. PLoS ONE 2012, 7, e45912. [Google Scholar] [CrossRef] [Green Version]
  51. Magtanong, L.; Ho, C.H.; Barker, S.L.; Jiao, W.; Baryshnikova, A.; Bahr, S.; Smith, A.M.; Heisler, L.E.; Choy, J.S.; Kuzmin, E.; et al. Dosage suppression genetic interaction networks enhance functional wiring diagrams of the cell. Nat. Biotechnol. 2011, 29, 505–511. [Google Scholar] [CrossRef]
  52. Zhu, H.; Bilgin, M.; Bangham, R.; Hall, D.; Casamayor, A.; Bertone, P.; Lan, N.; Jansen, R.; Bidlingmaier, S.; Houfek, T.; et al. Global analysis of protein activities using proteome chips. Science 2001, 293, 2101–2105. [Google Scholar] [CrossRef]
  53. Németh, T.; Papp, C.; Vagvolgyi, C.; Chakraborty, T.; Gacser, A. Identification and characterization of a neutral locus for knock-in purposes in C. parapsilosis. Front. Microbiol. 2020, 11, 1194. [Google Scholar] [CrossRef] [PubMed]
  54. Clinical and Laboratory Standards Institute. Reference Method for Broth Dilution Antifungal Susceptibility Testing of Yeasts, 4th ed.; approved standard; CLSI document M27-S4; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2012. [Google Scholar]
  55. Clinical and Laboratory Standards Institute. Reference Method for Broth Dilution Antifungal Susceptibility Testing of Yeasts, 3rd ed.; approved standard; CLSI document M27-A3; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2008. [Google Scholar]
  56. Gerami-Nejad, M.; Zacchi, L.F.; McClellan, M.; Matter, K.; Berman, J. Shuttle vectors for facile gap repair cloning and integration into a neutral locus in Candida albicans. Microbiology 2013, 159, 565–579. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Igual, J.C.; Johnson, A.L.; Johnston, L.H. Coordinated regulation of gene expression by the cell cycle transcription factor Swi4 and the protein kinase C MAP kinase pathway for yeast cell integrity. EMBO J. 1996, 15, 5001–5013. [Google Scholar] [CrossRef] [PubMed]
  58. Thompson, D.S.; Carlisle, P.L.; Kadosh, D. Coevolution of morphology and virulence in Candida species. Eukaryot. Cell 2011, 10, 1173–1182. [Google Scholar] [CrossRef] [Green Version]
  59. Cleary, I.A.; Mulabagal, P.; Reinhard, S.M.; Yadev, N.P.; Murdoch, C.; Thornhill, M.H.; Lazzell, A.L.; Monteagudo, C.; Thomas, D.P.; Saville, S.P.; et al. Pseudohyphal regulation by the transcription factor Rfg1p in Candida albicans. Eukaryot. Cell 2010, 9, 1363–1373. [Google Scholar] [CrossRef] [Green Version]
  60. Ryan, O.; Shapiro, R.S.; Kurat, C.F.; Mayhew, D.; Baryshnikova, A.; Chin, B.; Lin, Z.-Y.; Cox, M.J.; Vizeacoumar, F.; Cheung, D.; et al. Global gene deletion analysis exploring yeast filamentous growth. Science 2012, 337, 1353–1356. [Google Scholar] [CrossRef] [Green Version]
  61. Lackey, E.; Vipulanandan, G.; Childers, D.S.; Kadosh, D. Comparative evolution of morphological regulatory functions in Candida species. Eukaryot. Cell 2013, 12, 1356–1368. [Google Scholar] [CrossRef] [Green Version]
  62. Sudbery, P.; Gow, N.; Berman, J. The distinct morphogenic states of Candida albicans. Trends Microbiol. 2004, 12, 317–324. [Google Scholar] [CrossRef]
  63. Li, Z.; Nielsen, K. Morphology changes in human fungal pathogens upon interaction with the host. J. Fungi 2017, 3, 66. [Google Scholar] [CrossRef] [Green Version]
  64. O’Connor, L.; Caplice, N.; Coleman, D.C.; Sullivan, D.J.; Moran, G.P. Differential filamentation of Candida albicans and Candida dubliniensis Is governed by nutrient regulation of UME6 expression. Eukaryot. Cell 2010, 9, 1383–1397. [Google Scholar] [CrossRef] [Green Version]
  65. Trofa, D.; Gácser, A.; Nosanchuk, J.D. Candida parapsilosis, an emerging fungal pathogen. Clin. Microbiol. Rev. 2008, 21, 606–625. [Google Scholar] [CrossRef] [Green Version]
  66. Nobile, C.J.; Fox, E.P.; Nett, J.E.; Sorrells, T.R.; Mitrovich, Q.M.; Hernday, A.D.; Tuch, B.B.; Andes, D.R.; Johnson, A.D. A recently evolved transcriptional network controls biofilm development in Candida albicans. Cell 2012, 148, 126–138. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Barchiesi, F.; Spreghini, E.; Tomassetti, S.; Della Vittoria, A.; Arzeni, D.; Manso, E.; Scalise, G. Effects of caspofungin against Candida guilliermondii and Candida parapsilosis. Antimicrob. Agents Chemother. 2006, 50, 2719–2727. [Google Scholar] [CrossRef] [Green Version]
  68. Cappelletty, D.; Eiselstein-McKitrick, K. The echinocandins. Pharmacotherapy 2007, 27, 369–388. [Google Scholar] [CrossRef] [PubMed]
  69. Pfaller, M.A.; Boyken, L.; Hollis, R.J.; Kroeger, J.; Messer, S.A.; Tendolkar, S.; Diekema, D.J. In vitro susceptibility of invasive isolates of Candida spp. to anidulafungin, caspofungin, and micafungin: Six years of global surveillance. J. Clin. Microbiol. 2008, 46, 150–156. [Google Scholar] [CrossRef] [Green Version]
  70. Brown, G.D. Innate antifungal immunity: The key role of phagocytes. Annu. Rev. Immunol. 2011, 29, 1–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Höfs, S.; Mogavero, S.; Hube, B. Interaction of Candida albicans with host cells: Virulence factors, host defense, escape strategies, and the microbiota. J. Microbiol. 2016, 54, 149–169. [Google Scholar] [CrossRef]
  72. García-Rodas, R.; González-Camacho, F.; Rodríguez-Tudela, J.L.; Cuenca-Estrella, M.; Zaragoza, O. The interaction between Candida krusei and murine macrophages results in multiple outcomes, including intracellular survival and escape from killing. Infect. Immun. 2011, 79, 2136–2144. [Google Scholar] [CrossRef] [Green Version]
  73. Ellerbroek, P.M.; Walenkamp, A.M.E.; Hoepelman, A.I.M.; Coenjaerts, F.E.J. Effects of the capsular polysaccharides of Cryptococcus neoformans on phagocyte migration and inflammatory mediators. Curr. Med. Chem. 2004, 11, 253–266. [Google Scholar] [CrossRef]
  74. Pereira, T.; de Barros, P.; Fugisaki, L.; Rossoni, R.; Ribeiro, F.; de Menezes, R.; Junqueira, J.; Scorzoni, L. Recent advances in the use of Galleria mellonella model to study immune responses against human pathogens. J. Fungi 2018, 4, 128. [Google Scholar] [CrossRef] [Green Version]
  75. Braun, B.R.; Johnson, A.D. Control of filament formation in Candida albicans by the transcriptional repressor TUP1. Science 1997, 277, 105–109. [Google Scholar] [CrossRef] [PubMed]
  76. Zhao, R.; Lockhart, S.R.; Daniels, K.; Soll, D.R. Roles of TUP1 in switching, phase maintenance, and phase-specific gene expression in Candida albicans. Eukaryot. Cell 2002, 1, 353–365. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Hu, C.-J.; Bai, C.; Zheng, X.-D.; Wang, Y.-M.; Wang, Y. Characterization and functional analysis of the siderophore-iron transporter CaArn1p in Candida albicans. J. Biol. Chem. 2002, 277, 30598–30605. [Google Scholar] [CrossRef] [Green Version]
  78. Murad, A.M.; Leng, P.; Straffon, M.; Wishart, J.; Macaskill, S.; MacCallum, D.; Schnell, N.; Talibi, D.; Marechal, D.; Tekaia, F.; et al. NRG1 represses yeast-hypha morphogenesis and hypha-specific gene expression in Candida albicans. EMBO J. 2001, 20, 4742–4752. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Wächtler, B.; Wilson, D.; Haedicke, K.; Dalle, F.; Hube, B. From attachment to damage: Defined genes of Candida albicans mediate adhesion, invasion and damage during interaction with oral epithelial cells. PLoS ONE 2011, 6, e17046. [Google Scholar] [CrossRef] [Green Version]
  80. Sassanfar, M.; Samson, L. Identification and preliminary characterization of an O6-methylguanine DNA repair methyltransferase in the yeast Saccharomyces cerevisiae. J. Biol. Chem. 1990, 265, 20–25. [Google Scholar]
  81. Xiao, W.; Derfler, B.; Chen, J.; Samson, L. Primary sequence and biological functions of a Saccharomyces cerevisiae O6-methylguanine/O4-methylthymine DNA repair methyltransferase gene. EMBO J. 1991, 10, 2179–2186. [Google Scholar] [CrossRef]
  82. Andersen, K.S.; Bojsen, R.; Sørensen, L.G.R.; Nielsen, M.W.; Lisby, M.; Folkesson, A.; Regenberg, B. Genetic basis for Saccharomyces cerevisiae biofilm in liquid medium. G3 Genes|Genomes|Genetics 2014, 4, 1671–1680. [Google Scholar] [CrossRef] [Green Version]
  83. Tóth, R.; Tóth, A.; Papp, C.; Jankovics, F.; Vágvölgyi, C.; Alonso, M.F.; Bain, J.M.; Erwig, L.-P.; Gácser, A. Kinetic studies of Candida parapsilosis phagocytosis by macrophages and detection of intracellular survival mechanisms. Front. Microbiol. 2014, 5, 633. [Google Scholar]
  84. Brennan, M.; Thomas, D.Y.; Whiteway, M.; Kavanagh, K. Correlation between virulence of Candida albicans mutants in mice and Galleria mellonella larvae. FEMS Immunol. Med. Microbiol. 2002, 34, 153–157. [Google Scholar] [CrossRef] [Green Version]
  85. Slater, J.L.; Gregson, L.; Denning, D.W.; Warn, P.A. Pathogenicity of Aspergillus fumigatus mutants assessed in Galleria mellonella matches that in mice. Med. Mycol. 2011, 49, S107–S113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Amorim-Vaz, S.; Delarze, E.; Ischer, F.; Sanglard, D.; Coste, A.T. Examining the virulence of Candida albicans transcription factor mutants using Galleria mellonella and mouse infection models. Front. Microbiol. 2015, 6, 367. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Jacobsen, I.D. Galleria mellonella as a model host to study virulence of Candida. Virulence 2014, 5, 237–239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  88. Bendel, C.M.; Hess, D.J.; Garni, R.M.; Henry-Stanley, M.; Wells, C.L. Comparative virulence of Candida albicans yeast and filamentous forms in orally and intravenously inoculated mice. Crit. Care Med. 2003, 31, 501–507. [Google Scholar] [CrossRef]
  89. Mora-Montes, H.M.; Bates, S.; Netea, M.G.; Castillo, L.; Brand, A.; Buurman, E.T.; Díaz-Jiménez, D.F.; Jan Kullberg, B.; Brown, A.J.P.; Odds, F.C.; et al. A multifunctional mannosyltransferase family in Candida albicans determines cell wall mannan structure and host-fungus interactions. J. Biol. Chem. 2010, 285, 12087–12095. [Google Scholar] [CrossRef] [Green Version]
  90. Erbs, P.; Exinger, F.; Jund, R. Characterization of the Saccharomyces cerevisiae FCY1 gene encoding cytosine deaminase and its homologue FCA1 of Candida albicans. Curr. Genet. 1997, 31, 1–6. [Google Scholar] [CrossRef]
  91. Harcus, D.; Nantel, A.; Marcil, A.; Rigby, T.; Whiteway, M. Transcription profiling of cyclic AMP signaling in Candida albicans. Mol. Biol. Cell 2004, 15, 4490–4499. [Google Scholar] [CrossRef] [Green Version]
  92. Xu, D.; Jiang, B.; Ketela, T.; Lemieux, S.; Veillette, K.; Martel, N.; Davison, J.; Sillaots, S.; Trosok, S.; Bachewich, C.; et al. Genome-wide fitness test and mechanism-of-action studies of inhibitory compounds in Candida albicans. PLOS Pathog. 2007, 3, e92. [Google Scholar] [CrossRef] [Green Version]
  93. Percival-Smith, A.; Segall, J. Characterization and mutational analysis of a cluster of three genes expressed preferentially during sporulation of Saccharomyces cerevisiae. Mol. Cell. Biol. 1986, 6, 2443–2451. [Google Scholar] [CrossRef] [Green Version]
  94. Nogi, Y.; Yano, R.; Dodd, J.; Carles, C.; Nomura, M. Gene RRN4 in Saccharomyces cerevisiae encodes the A12.2 subunit of RNA polymerase I and is essential only at high temperatures. Mol. Cell. Biol. 1993, 13, 114–122. [Google Scholar] [CrossRef] [Green Version]
  95. Chaillot, J.; Cook, M.A.; Corbeil, J.; Sellam, A. Genome-wide screen for haploinsufficient cell size genes in the opportunistic yeast Candida albicans. G3 Genes|Genomes|Genetics 2017, 7, 355–360. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Jones, D.G.L.; Rosamond, J. Isolation of a novel protein kinase-encoding gene from yeast by oligodeoxyribonucleotide probing. Gene 1990, 90, 87–92. [Google Scholar] [CrossRef]
  97. Moura, D.J.; Castilhos, B.; Immich, B.F.; Cañedo, A.D.; Henriques, J.A.P.; Lenz, G.; Saffi, J. Kin3 protein, a NIMA-related kinase of Saccharomyces cerevisiae, is involved in DNA adduct damage response. Cell Cycle 2010, 9, 2220–2229. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Pais, T.M.; Foulquié-Moreno, M.R.; Hubmann, G.; Duitama, J.; Swinnen, S.; Goovaerts, A.; Yang, Y.; Dumortier, F.; Thevelein, J.M. Comparative polygenic analysis of maximal ethanol accumulation capacity and tolerance to high ethanol levels of cell proliferation in yeast. PLoS Genet. 2013, 9, e1003548. [Google Scholar] [CrossRef] [Green Version]
  99. Sellam, A.; Chaillot, J.; Mallick, J.; Tebbji, F.; Richard Albert, J.; Cook, M.A.; Tyers, M. The p38/HOG stress-activated protein kinase network couples growth to division in Candida albicans. PLoS Genet. 2019, 15, e1008052. [Google Scholar] [CrossRef]
  100. Blankenship, J.R.; Fanning, S.; Hamaker, J.J.; Mitchell, A.P. An extensive circuitry for cell wall regulation in Candida albicans. PLOS Pathog. 2010, 6, e1000752. [Google Scholar] [CrossRef] [Green Version]
  101. Yoshikawa, K.; Tanaka, T.; Ida, Y.; Furusawa, C.; Hirasawa, T.; Shimizu, H. Comprehensive phenotypic analysis of single-gene deletion and overexpression strains of Saccharomyces cerevisiae. Yeast 2011, 28, 349–361. [Google Scholar] [CrossRef] [Green Version]
  102. Swanson, M.S.; Malone, E.A.; Winston, F. SPT5, an essential gene important for normal transcription in Saccharomyces cerevisiae, encodes an acidic nuclear protein with a carboxy-terminal repeat. Mol. Cell. Biol. 1991, 11, 4286. [Google Scholar] [CrossRef]
  103. Hadwiger, J.A.; Wittenberg, C.; Richardson, H.E.; de Barros Lopes, M.; Reed, S.I. A family of cyclin homologs that control the G1 phase in yeast. Proc. Natl. Acad. Sci. USA 1989, 86, 6255–6259. [Google Scholar] [CrossRef] [Green Version]
  104. Wagner, A. Energy costs constrain the evolution of gene expression. J. Exp. Zool. Part. B Mol. Dev. Evol. 2007, 308B, 322–324. [Google Scholar] [CrossRef]
Figure 1. Representative pictures present CPAR2_109520OE, CPAR2_200040OE, and CPAR2_302400OE strains with altered fitness compared to CLIB214 control strain in spot assay analysis. Tenfold dilutions of the cell suspensions ranging from 105 cell/5 µL to 102 cell/5 µL were pinned onto the surface of the solid media and kept for 48 h at 30 or 37 °C. Except for CFW (50 µg/mL) and CR (50, 100 µg/mL) at 37 °C, that was incubated for 3–4 days.
Figure 1. Representative pictures present CPAR2_109520OE, CPAR2_200040OE, and CPAR2_302400OE strains with altered fitness compared to CLIB214 control strain in spot assay analysis. Tenfold dilutions of the cell suspensions ranging from 105 cell/5 µL to 102 cell/5 µL were pinned onto the surface of the solid media and kept for 48 h at 30 or 37 °C. Except for CFW (50 µg/mL) and CR (50, 100 µg/mL) at 37 °C, that was incubated for 3–4 days.
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Figure 2. Biofilm formation analysis. OD540 values of the overexpression (OE) strains were normalized to the CLIB214 control strain, n = 3 with eight parallel samples per experiment. Statistical analysis: one-way ANOVA, Dunnett’s multiple comparisons test (**** p < 0.0001).
Figure 2. Biofilm formation analysis. OD540 values of the overexpression (OE) strains were normalized to the CLIB214 control strain, n = 3 with eight parallel samples per experiment. Statistical analysis: one-way ANOVA, Dunnett’s multiple comparisons test (**** p < 0.0001).
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Figure 3. J774 phagocytosis analysis. Phagocytic activity (%) of the J774 macrophages during the co-incubation with OE strains were normalized to the values of the phagocytosed CLIB214 control strain, n = 3. Statistical analysis: one-way Anova, Dunnett’s multiple comparisons test (* p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001).
Figure 3. J774 phagocytosis analysis. Phagocytic activity (%) of the J774 macrophages during the co-incubation with OE strains were normalized to the values of the phagocytosed CLIB214 control strain, n = 3. Statistical analysis: one-way Anova, Dunnett’s multiple comparisons test (* p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001).
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Figure 4. Summarized results of the in vivo Galleria. mellonella infection experiments, n = 3, separate experiments with 20 larvae per strain and experiment. Statistical analysis: Log-rank (Mantel–Cox) test (**** p < 0.0001; ns is not significant).
Figure 4. Summarized results of the in vivo Galleria. mellonella infection experiments, n = 3, separate experiments with 20 larvae per strain and experiment. Statistical analysis: Log-rank (Mantel–Cox) test (**** p < 0.0001; ns is not significant).
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Figure 5. Murine infection experiments. The graphs show the fungal burden (CFU values) of brain, spleen, liver, and kidney in CFU/g organ values. Animals were infected with 2 × 107 fungal cells through their lateral tail veins and sacrificed after 3 days, n = 2 separate experiments, with four to five animals per strain and experiment were used. For the statistical analysis Mann-Whitney tests were used (* p < 0.05; ** p < 0.01; ns: not significant).
Figure 5. Murine infection experiments. The graphs show the fungal burden (CFU values) of brain, spleen, liver, and kidney in CFU/g organ values. Animals were infected with 2 × 107 fungal cells through their lateral tail veins and sacrificed after 3 days, n = 2 separate experiments, with four to five animals per strain and experiment were used. For the statistical analysis Mann-Whitney tests were used (* p < 0.05; ** p < 0.01; ns: not significant).
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Figure 6. The Venn diagram shows summarized results of the OE mutant collection analysis separated into distinct experiments. The numbers display the number of mutant strains with alteration(s) in the exact experiment(s).
Figure 6. The Venn diagram shows summarized results of the OE mutant collection analysis separated into distinct experiments. The numbers display the number of mutant strains with alteration(s) in the exact experiment(s).
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Table 1. Real-time qPCR-based overexpression data (fold-change, relative normalized expression—RNE) of the created mutant strains. Data were normalized to the CLIB214 wild type strain. Relative transcription levels were determined using the housekeeping gene CpTUB4 (CPAR2_500510) as an internal control. Measurements were performed in three statistical parallels. The 2−∆∆Cq comparison method was used with Bio-Rad CFX Manager software. (CpCandida parapsilosis; CaC. albicans; ScSaccharomyces cerevisiae).
Table 1. Real-time qPCR-based overexpression data (fold-change, relative normalized expression—RNE) of the created mutant strains. Data were normalized to the CLIB214 wild type strain. Relative transcription levels were determined using the housekeeping gene CpTUB4 (CPAR2_500510) as an internal control. Measurements were performed in three statistical parallels. The 2−∆∆Cq comparison method was used with Bio-Rad CFX Manager software. (CpCandida parapsilosis; CaC. albicans; ScSaccharomyces cerevisiae).
Gene NameOrtholog NameRNEGene NameOrtholog NameRNE
CPAR2_100460CpHBT4122.5 ± 17.7CPAR2_302400ScMGT1424.4 ± 90.5
CPAR2_100470CpHBT318.6 ± 0.9CPAR2_303240ScPFA544.7 ± 2.8
CPAR2_100540CaHAP57.6 ± 0.9CPAR2_303730ScTHR166.1 ± 26
CPAR2_104420ScLTE1378.5 ± 22.1CPAR2_400270ScHIT131.6 ± 2.3
CPAR2_105250CaPHO8544.8 ± 3.5CPAR2_406400ScRPA1241.7 ± 7.3
CPAR2_107020CaHHF1118.2 ± 11.0CPAR2_500180ScKIN3675.7 ± 89.3
CPAR2_107240CaKTR4/MNT470.4 ± 12.4CPAR2_500360ScAMS137.2 ± 2.6
CPAR2_108840ScSPS150.5 ± 9.6CPAR2_501400CaCWH4190.0 ± 11.2
CPAR2_109520CaTUP119.1 ± 4.5CPAR2_503290CaRAD53218.4 ± 25.9
CPAR2_200040-212.2 ± 17.3CPAR2_503760ScTMA467.3 ± 0.7
CPAR2_200390CaSPT39.0 ± 0.6CPAR2_602370ScRAD1817.3 ± 2.1
CPAR2_201920ScMNT27.3 ± 1.1CPAR2_602820CaFCA128.4 ± 8.4
CPAR2_204840CpHBT28.9 ± 1.8CPAR2_602840ScTFB4176.7 ± 30.6
CPAR2_205060CaCDC2830.6 ± 5.6CPAR2_700550ScRSC84.5 ± 0.5
CPAR2_208600CaCPH144.5 ± 3.6CPAR2_703840ScSLM552.5 ± 8.4
CPAR2_209240CaCDC19/PYK2.6 ± 0.0CPAR2_804030ScGSC2134.6 ± 29.9
CPAR2_209520CaMKK27.8 ± 1.3CPAR2_805930CaTEC134.5 ± 6.9
CPAR2_300080ScADK2134.8 ± 7.3CPAR2_806950ScNOB165.7 ± 9.9
CPAR2_301360CaPMR138.9 ± 3.1
Table 2. The heat map shows the results of the spot assay analyses (CFW—Calcofluor white; CR—Congo red; black—no growth; red—strong defect; orange—medium defect; yellow—slight defect; grey—no difference).
Table 2. The heat map shows the results of the spot assay analyses (CFW—Calcofluor white; CR—Congo red; black—no growth; red—strong defect; orange—medium defect; yellow—slight defect; grey—no difference).
StressorCaffeine
(10 mM)
CFW
(25 µg/mL)
CFW
(50 µg/mL)
CR
(10 µg/mL)
CR
(25 µg/mL)
CR
(50 µg/mL)
CR
(75 µg/mL)
CR
(100 µg/mL)
SDS
(0.04% m/v)
T (°C)303730373037303730373037303730373037
CPAR2_109520OE
(CpTUP1)
CPAR2_200040OE
CPAR2_302400OE
(CpMGT1)
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MDPI and ACS Style

Pál, S.E.; Tóth, R.; Nosanchuk, J.D.; Vágvölgyi, C.; Németh, T.; Gácser, A. A Candida parapsilosis Overexpression Collection Reveals Genes Required for Pathogenesis. J. Fungi 2021, 7, 97. https://doi.org/10.3390/jof7020097

AMA Style

Pál SE, Tóth R, Nosanchuk JD, Vágvölgyi C, Németh T, Gácser A. A Candida parapsilosis Overexpression Collection Reveals Genes Required for Pathogenesis. Journal of Fungi. 2021; 7(2):97. https://doi.org/10.3390/jof7020097

Chicago/Turabian Style

Pál, Sára E., Renáta Tóth, Joshua D. Nosanchuk, Csaba Vágvölgyi, Tibor Németh, and Attila Gácser. 2021. "A Candida parapsilosis Overexpression Collection Reveals Genes Required for Pathogenesis" Journal of Fungi 7, no. 2: 97. https://doi.org/10.3390/jof7020097

APA Style

Pál, S. E., Tóth, R., Nosanchuk, J. D., Vágvölgyi, C., Németh, T., & Gácser, A. (2021). A Candida parapsilosis Overexpression Collection Reveals Genes Required for Pathogenesis. Journal of Fungi, 7(2), 97. https://doi.org/10.3390/jof7020097

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