The emergence of resistance in Candida albicans, an opportunistic pathogen, against the commonly used antifungals is becoming a major obstacle in its treatment. The necessity to identify new drug targets demands fundamental insights into the mechanisms used by this organism to develop drug resistance. C. albicans has introns in 4 to 6% of its genes, the functions of which remain largely unknown. Using the RNA-sequencing data from isogenic pairs of azole-sensitive and -resistant isolates of C. albicans, here, we show how C. albicans uses modulations in mRNA splicing to overcome antifungal drug stress.
KEYWORDS: Candida albicans, alternative splicing, SOD3, amphotericin B, menadione
ABSTRACT
Alternative splicing (AS)—a process by which a single gene gives rise to different protein isoforms in eukaryotes—has been implicated in many basic cellular processes, but little is known about its role in drug resistance and fungal pathogenesis. The most common human fungal pathogen, Candida albicans, has introns in 4 to 6% of its genes, the functions of which remain largely unknown. Here, we report AS regulating drug resistance in C. albicans. Comparative RNA-sequencing of two different sets of sequential, isogenic azole-sensitive and -resistant isolates of C. albicans revealed differential expression of splice isoforms of 14 genes. One of these was the superoxide dismutase gene SOD3, which contains a single intron. The sod3Δ/Δ mutant was susceptible to the antifungals amphotericin B (AMB) and menadione (MND). While AMB susceptibility was rescued by overexpression of both the spliced and unspliced SOD3 isoforms, only the spliced isoform could overcome MND susceptibility, demonstrating the functional relevance of this splicing in developing drug resistance. Furthermore, unlike AMB, MND inhibits SOD3 splicing and acts as a splicing inhibitor. Consistent with these observations, MND exposure resulted in increased levels of unspliced SOD3 isoform that are unable to scavenge reactive oxygen species (ROS), resulting in increased drug susceptibility. Collectively, these observations suggest that AS is a novel mechanism for stress adaptation and overcoming drug susceptibility in C. albicans.
IMPORTANCE The emergence of resistance in Candida albicans, an opportunistic pathogen, against the commonly used antifungals is becoming a major obstacle in its treatment. The necessity to identify new drug targets demands fundamental insights into the mechanisms used by this organism to develop drug resistance. C. albicans has introns in 4 to 6% of its genes, the functions of which remain largely unknown. Using the RNA-sequencing data from isogenic pairs of azole-sensitive and -resistant isolates of C. albicans, here, we show how C. albicans uses modulations in mRNA splicing to overcome antifungal drug stress.
INTRODUCTION
Candida albicans is the most common opportunistic human fungal pathogen and has a high mortality rate in patients who are severely immunocompromised (1–3). Candidiasis is most often caused by C. albicans, but there have been recent reports of other non-albicans species causing significant disease (4). The increasing use of antifungal agents has led to the development of resistance to the currently available antifungals (5).
Candida species have a repertoire of mechanisms that account for acquired antifungal drug resistance. The best-documented are increased drug efflux and compromised drug import. Other mechanisms of drug resistance in Candia albicans include alteration or overexpression of drug targets and chromosome duplications (6–8). Furthermore, recent reports have also implicated fungal stress response pathways to oxidative, osmotic, thermal, nitrosative, and nutrient limitation stressors as important mediators of drug resistance (9). The development of antifungal drug resistance is a complex multifactorial process that relies on both host and fungal factors. Due to the clinical importance of candidiasis, there is an urgent need to identify new drug targets and therefore new antifungal drugs for the treatment of high-risk patients.
Alternative pre-mRNA splicing (AS) is an important regulatory mechanism that expands the eukaryotic proteome, enabling cellular responses to cope with diverse environmental challenges (10–12). Most of the eukaryotic genes contain introns that are removed posttranscriptionally. The total number of introns in any given eukaryotic genome varies between different species, being higher in metazoans than in the lower eukaryotes like yeasts. Alternative splicing (AS) in metazoans has been well documented; impacts tissue-specific gene expression, gene function, and protein localization; and thereby has been implicated in many diseases (11, 13, 14). However, the fungal proteome is comparatively less subject to functional diversification by AS (15, 16). The percent proportion of introns in fungal genome(s) also varies widely, ranging from 2% to 6% in Saccharomyces cerevisiae, Candida glabrata, and C. albicans, whereas the basidiomycete human fungal pathogen Cryptococcus neoformans contains an intron in 99% of its genes, with intron retention (IR) being the most common form of AS in this species (16–20).
The biological impact of AS in fungi remains largely unexplored, although there are several instances in yeasts where functional AS has been observed (15, 21–23). For example, a serine/threonine phosphatase-encoding gene, PTC7, in Saccharomyces cerevisiae contains a single intron that can be alternatively spliced to produce two distinct proteins that differentially localize and function in the cell (21). Similarly, the cellular localization of a central carbon metabolism enzyme encoded by the malate dehydrogenase gene (ylMDH2) is governed by functional AS, which generates cytosolic or peroxisome-localized isoforms in Yarrowia lipolytica (22). The dual localization of 6-phosphogluconate dehydrogenase encoded by GND1 in C. albicans is also directed by AS, resulting in cytosolic and peroxisome-localized isoforms (23). In addition to protein localization, AS is also regulated by different environmental stresses (16, 21, 22, 24–26). In C. albicans, the RPL30 gene encoding a ribosomal protein of the large subunit undergoes AS, and the isoform preference is influenced by growth temperature, while AS of a sporulation-regulated gene (SPR28) is responsive to the α-factor mating pheromone (27). Recently, C. albicans SOD3 and CAN3 were also predicted to undergo AS, but its impact on cellular physiology remains largely unknown (28). C. glabrata employs stress-specific AS to increase the number of proteins in the EPA adhesin gene family (29). These examples demonstrate that AS in fungi contributes substantially to diversity in their proteome landscape. However, none so far have implicated a role in the development of drug resistance. Since the impact of AS on the development of drug tolerance in Candida spp. remains unexplored, we rationalized that an understanding of posttranscriptional regulation of development of drug resistance may open new avenues for drug responses by Candida spp.
RESULTS
Intron landscape in azole-susceptible and -resistant isogenic isolates of Candida albicans.
Various bioinformatics approaches have been employed to identify the total number of introns in the C. albicans genome (27, 30). The most comprehensive landscape of introns was generated by Bruno et al. (31), where they identified 426 introns in C. albicans (SC5314). To assess the potential functional role of AS in drug resistance in C. albicans, we used an existing resource of genetically matched azole-sensitive and -resistant sequential clinical isolates of C. albicans (32). These 17 isogenic identical isolates (TW1 to -17) were recovered from a single HIV-infected patient over a period of 2 years and showed increasing resistance (over 200-fold) over that time to the antifungal fluconazole (FLC) (32). It provided an ideal platform to monitor sequential changes associated with the development of drug resistance in an isogenic background. The comparison between sequential, matched isolates excluded the possibility of any changes due to clonal variation.
We performed transcriptome sequencing (RNA-Seq) analysis with early (TW1 and -2), middle (TW8 and -9), and late (TW16 and -17) isolates and identified a total of 364 junctions (exon-exon junction) in all the isolates, which is slightly lower than previous reports (27, 31). This may be due to different C. albicans strains and growth conditions used in our experiments. The intronic sequences corresponding to these junctions are given as supplemental material (see Data Set S1). The number of junctions in TW1 and TW17 is plotted along with their chromosomal location in Fig. 1A. The gene ontology (GO) analysis of total junctions between the TW1 (azole-sensitive) and TW17 (azole-resistant) strains revealed that the majority of the intron-containing genes were similar between the two isolates. However, in the TW17 isolate genes belonging to the GO term “intracellular” category were found to be more enriched than in the TW1 strain, where “organelle” category genes were preferentially enriched. The “organelle” category enriched in the TW1 strain includes genes like ZCF24, PSF2, CLA4, SNP3, ROB1, GWT1, APN1, GTT11, and C2_00570W_A. These genes are the components of the GINS, RSC (Remodels the Structure of Chromatin), and snRNP (small nuclear ribonucleoprotein) complexes. Out of these genes, some also have the molecular function of zinc ion binding. The “intracellular” category enriched in the TW17 strain includes genes like UBP6, SOD3, AUT7, APS3, INO4, MTLA1, C5_04860C_A, LMO1, HHO1, ARC19, ECM4, PRE6, RHO3, TPS3, and ECM4. The majority of these genes are predicted to be localized to the nucleus and have DNA binding activity. The gene-enriched categories in both azole-resistant and -sensitive isolates (corrected P value <0.05) are plotted in Fig. 1B. Details related to each category are shown in the supplemental material (Data Set S3).
Differential expression of select junctions in resistant isolates.
The gradual change in the intron landscape obtained between resistant and sensitive isogenic pairs of strains of C. albicans led us to investigate the RNA-Seq data in greater depth. For pairwise comparative junction analysis (see Materials and Methods), we used only TW1 as the most susceptible and TW17 as the most resistant isogenic pair. Our analysis revealed differential expression of junctions and predicted 14 AS events specific to the resistant TW17 isolate compared to the sensitive TW1 isolate. All the 14 AS events are intron retention (IR) events involving partial or complete retention of introns with most of the genes containing only one intron (Fig. 1C to E). Figure 1C shows the differential expression of exon-exon junctions between the sensitive and resistant isolates. Interestingly, a relatively higher number of the AS genes were found to be located on chromosomes 1A and RA (Fig. 1D). Most of the AS genes in C. albicans contain a single intron (Fig. 1E). A gene ontology (GO) analysis using the Candida Genome Database (CGD) for biological processes and functions affected by the predicted AS events showed enrichment for DNA and protein binding, hydrolase activity, lipid binding, transporter activity, and the oxidoreductase group of genes, among others (Fig. 2A). To establish the validity of the predicted AS events, we validated all predicted intron retention (IR) events in genes critical for response to chemicals and stress (ARC19, SOD3, and AUT7), lipid and carbohydrate metabolic processes (INO4), transport processes (AUT7 and C110750C_A), protein catabolic process (PRE6), cytoskeletal organization (ARC19), pathogenesis-related function (MTLA1), and open reading frames (ORFs) with unknown functions (C1_10750C_A, CR_06850C_A, CR_03310C_A, and TRI1) (Table 1). All AS genes showed a similar pattern in their differential expression between unspliced and spliced isoforms (Fig. 2B). Specifically, in all validated genes, the IR isoform was more highly expressed in the sensitive strain TW1, whereas the spliced isoform was more highly expressed in the resistant strain TW17. As with most IR transcripts, the IR events led to inclusion of premature termination codons (PTC), likely leading to reduced levels of the protein-coding transcript.
TABLE 1.
Serial no. | Gene | P value | Intron position |
---|---|---|---|
1 | ARC19 | 4.38397E−06 | i1 (85–4) |
2 | PHA2 | 3.58946E−05 | i1 (130–52) |
3 | CR_03310C_A | 6.26674E−05 | i1 (706–648) |
4 | SOD3 | 6.87716E−05 | i1 (105–165) |
5 | ROB1 | 0.000221735 | i1 (47–107) |
6 | DUN1 | 0.000326354 | i1 (118–22) |
7 | AUT7 | 0.000339926 | i1 (34–118) |
8 | CR_06850C_A | 0.000663398 | i1 (73–4) |
9 | C2_00570W_A | 0.000983209 | i1 (34–107) |
10 | TRI1 | 0.00115384 | i3 (736–822) |
11 | INO4 | 1.22467E−05 | i1 (217–133) |
12 | PRE6 | 8.54106E−05 | i1 (35–130) |
13 | C1_10750C_A | 0.000239973 | i1 (184–258) |
14 | MTLA1 | 0.000427415 | i2 (639–894) |
Isogenic drug-resistant (Gu5) and -sensitive (Gu4) pairs also display AS.
To determine whether differential AS is a common mechanism used by C. albicans to acquire drug resistance, we also explored AS events in another genetically matched pair of clinical isolates. For this, we used isogenic azole-susceptible Gu4 (MIC of 3.12 μg/ml) and azole-resistant Gu5 (MIC of >100 μg/ml) isolates of C. albicans recovered from an AIDS patient with oropharyngeal candidiasis (OPC) (33). Analysis of RNA-Seq data of Gu4 and Gu5 (Data Set S2) for junctions that are differentially expressed revealed eight genes (NOP1, PGA18, LTP1, C1_10750C_A, MUQ1, CTA24, CTA2, and SOD3) undergoing AS events (Table 2). Except for SOD3 and C1_10750C_A, all other genes were different from those recorded between TW1 and TW17. Thus, a different isogenic azole-susceptible Gu4 and azole-resistant Gu5 pair also displayed differential AS events, but in a unique set of genes. Given that SOD3 was differentially spliced in both sets of clinical isolates, and its known role as a reactive oxygen species (ROS) scavenger in Candida cells, we chose to focus on SOD3 to evaluate the potential biological effect of the AS-based preference of isoform expression between sensitive and resistant isolates.
TABLE 2.
Serial no. | Gene | P value | Intron position |
---|---|---|---|
1 | NOP1 | 6.93788E-06 | 154–199a |
2 | PGA18 | 0.000233241 | 1181–1130 |
3 | LTP1 | 0.00037349 | I-1 (228–62) |
4 | C1_10750C_A | 0.000377641 | I-1 (256–182) |
5 | MUQ1 | 0.000377641 | 134–74 |
6 | CTA24 | 0.000585666 | 315–426 |
7 | CTA2 | 0.00074396 | 315–396a |
8 | SOD3 | 0.000767368 | 105–165 |
No intron annotation in CGD so far (novel introns).
Alternative splicing responds to in vitro stresses.
We considered that differential AS in a subset of genes was a strategy employed by the resistant strains to overcome drug sensitivity. Differential isoform expression of AS genes in the resistant strain may help them to combat the stress by generating a higher proportion of spliced (i.e., functional) protein product, as in the case of SOD3 (Fig. 2B). This prompted us to analyze whether such differentially expressed, splice isoforms are also generated in other in vitro stress situations. For this, we exposed TW1 cells to one of two antifungal compounds, amphotericin B (AMB) and caspofungin (CAS), or grew them under iron-depleting conditions induced by a chelator, bathophenanthroline disulfonate (BPS), in the growth medium. We observed a significant increase in the spliced isoform of SOD3 beyond 60 min induced by AMB and by BPS and the total absence of the unspliced form by 90 min (Fig. 3). This provides strong evidence of an acute need for Sod3 protein to overcome these drug-induced stress conditions.
SOD3 levels impact drug susceptibility in Candida albicans.
The C. albicans genome contains six different superoxide dismutase (SOD) genes (SOD1 to -6). Among these, SOD1 and SOD3 are cytosolic, SOD2 is mitochondrial, and SOD4, 5, and 6 are cell surface (glycosylphosphatidylinositol [GPI])-anchored superoxide dismutases (34, 35). The primary function of the SODs in Candida spp is to detoxify both ROS generated from its cellular metabolism and the ROS it encounters from the host immune defenses (34, 36). SOD4, 5, and 6 are especially implicated in detoxifying ROS generated by macrophages, which helps Candida evade host immune surveillance (35, 37–39). C. albicans is better equipped to deal with oxidative stresses as it has two cytosolic SODs (SOD1 and SOD3), whose expression is reciprocally regulated (40, 41). A report showed upregulation of SOD genes in miconazole-treated sessile cells of C. albicans biofilms (34). Additionally, SOD1 and SOD5 genes are also shown to be important for the virulence of C. albicans (39, 42).
Since our study was mainly focused on the differential expression of isoforms of genes arising due to intron retention between azole-sensitive and -resistant clinical isolates of C. albicans, we analyzed intron sequences of all SOD genes. Only SOD1 and SOD3 possess intronic sequences, wherein SOD1 has a comparatively longer intron of 244 bp compared to the 60-bp intron of SOD3 (40, 42, 43). Our observation of SOD3 specifically manifesting AS led us to explore whether SOD3 has any role in influencing the drug susceptibility of Candida cells. For this, extensive drug susceptibility assays in the presence of different drugs were performed in a sod3Δ/Δ homozygous mutant and its wild-type (WT) parent strains. The susceptibility of all tested drugs, which included azoles such as fluconazole, voriconazole, itraconazole, miconazole, and echinocandins, did not change in sod3Δ/Δ mutant cells compared to the WT strain. However, sod3Δ/Δ mutant cells exhibited increased susceptibility to the polyene drug AMB and to menadione (MND) (Fig. 4). Notably, the susceptibility of sod3Δ/Δ mutant cells to another quinone (1,2-naphthoquinone) did not change (Fig. S1). Given that only SOD1 and SOD3 have introns, we also checked the susceptibility of sod1Δ/Δ mutants toward different drugs. The sod1Δ/Δ mutant was also susceptible to AMB and MND and did not show any change in sensitivity to azole or 1,2-naphthoquinone (Fig. S2). Collectively, these data imply that in addition to its predicted role in protection against oxidative stress under physiological conditions, the C. albicans SOD3 gene also plays an important role in resistance to antifungal drugs.
Only the spliced isoform of SOD3 complements MND susceptibility.
To determine the role of AS in the SOD3 gene, we engineered C. albicans to overexpress either the spliced or unspliced isoforms of SOD3 (as described in Materials and Methods). Since both the isoforms were cloned under a TET-regulatable promoter, the experiments were done in the presence of doxycycline as indicated. Overexpression of the green fluorescent protein (GFP)-tagged Sod3 fusion protein with individual isoforms (sod3Δ/Δ::SOD3I+ [unspliced] or sod3Δ/Δ::SOD3I− [spliced]) was confirmed by Western blotting (Fig. S3). These strains along with the sod3Δ/Δ mutant, and WT cells, were then subjected to drug susceptibility tests in the presence and absence of doxycycline. The overexpression of spliced isoform (sod3Δ/Δ::SOD3I−) rescued the susceptibility to both AMB and MND. However, the intron-containing (unspliced) isoform (sod3Δ/Δ::SOD3I+) complemented only AMB susceptibility, while MND susceptibility remained largely unchanged. The sod3Δ/Δ::V strain is the homozygous mutant with the empty vector added back. This strain was created by transforming the sod3Δ/Δ null mutant with the empty plasmid vector. This strain was included as a control in all experiments. We confirmed these results by both microdilution liquid and spot assays. We did not observe any change in susceptibility to doxycycline alone of all C. albicans strains used in the assay (Fig. 4A and B).
The spliced isoform of SOD3 decreases ROS when exposed to MND.
We next evaluated why the strain expressing the unspliced SOD3 isoform was unable to complement MND susceptibility. Since SOD3 is a ROS scavenger and both AMB and MND are known to induce ROS production (44–48), we measured ROS levels in these strains in the presence and absence of AMB and MND. We found that both isoforms of the SOD3 gene (sod3Δ/Δ::SOD3I+ or sod3Δ/Δ::SOD3I−) were able to reduce ROS levels when cells were exposed to AMB. In contrast, only the spliced isoform was able to reduce ROS levels in the presence of MND (Fig. 5A and B). We next evaluated Sod3 protein expression levels in the presence and absence of AMB and MND by Western blotting using an anti-GFP monoclonal antibody. The protein levels in the strain with the unspliced isoform of SOD3 were significantly reduced compared to the one with the spliced isoform in the presence of MND, while they remained unchanged in AMB-exposed cells. (Fig. 5C and D). These results suggest that in the presence of MND, cells express mostly the unspliced SOD3 isoform, which is unable to combat oxidative stress.
Menadione inhibits pre-mRNA splicing.
We rationalized that when cells are exposed to AMB, the unspliced SOD3 isoform gets spliced, but that is somehow blocked when cells are exposed to MND. Thus, we tested whether MND inhibits SOD3 splicing by analyzing the effect of MND and AMB on pre mRNA splicing of the SOD3 gene. Notably, earlier reports showed that the expression of SOD3 changes during growth phases with its expression increasing in the stationary phase due to the changes in copper concentrations in the medium (40, 41). Thus, for monitoring changes in the splicing pattern of the SOD3 gene with different growth phases, we employed the WT (SC5314) strain grown until different growth phases over a period of time and collected log-phase, 24-h, and 3-day stationary-phase cells as described in Materials and Methods. We analyzed the SOD3 splicing pattern in cells harvested at these three growth phases and found that SOD3 is present mostly as an unspliced isoform in log-phase cells. In contrast, the spliced isoform dominated in 24-h cultures, but levels decreased after 3 days of growth, reflecting an increase in the unspliced isoform, similar to log-phase cells. (Fig. 6A). Thus, we selected the 24-h time point, with the highest levels of spliced SOD3 isoform, to check the effect of MND and AMB on the extent of SOD3 splicing. The C. albicans WT cells were grown in the presence of MND and AMB for 24 h. The splicing pattern of the SOD3 gene in the presence of AMB remained similar to that of the WT (SC5314) strain grown without any drug. However, in the presence of MND, SOD3 splicing was inhibited, which was evident from the significantly higher ratio of the SOD3 unspliced isoform (Fig. 6B). Pladienolide B (PB) is a known splicing inhibitor that works by blocking the SF3b splicing factor. PB (80 μg/ml) was used as a control in this experiment to test the splicing inhibition level of MND (Fig. 6B).
Our data suggest that the antifungal activity of MND can also be the result of its role as a splicing inhibitor. Thus, we assessed the splicing inhibition of other genes undergoing AS events in the presence of MND. We found that MND could also inhibit the splicing of some other genes undergoing AS (PHA2, TRI1, and AUT7) in the TW1-TW17 isogenic pair (Fig. S4A). We also evaluated the effect of MND on the splicing of C2_03880C_A, which was found to be upregulated in TW17 (Fig. 7A). C2_03880C_A is an ortholog of Saccharomyces cerevisiae SMX2, which is a homolog of the human SmG protein that functions as a splicing factor (49). In C. albicans, the C2_03880C_A (SMX2) gene is 453 bp with three introns. Interestingly, in MND-treated samples, only the unspliced isoform of the SMX2 gene was detected, while AMB treatment induced expression of an alternatively spliced isoform with one of the introns being removed (Fig. 7B). This provides further evidence of an inhibitory role for MND on splicing.
DISCUSSION
Alternative splicing (AS) along with other posttranscriptional modifications has been associated with virulence in several pathogenic organisms (50) as they allow pathogens to fine-tune gene expression in response to diverse host environments. Of the 4 to 6% introns in the C. albicans genome, some intron-bearing genes are morphology and virulence related, implying a role for AS in these processes. Most of the intron-containing genes have a single intron, and hence, intron retention (IR) is the most common type of AS in C. albicans. Our comparative RNA-Seq analysis of drug-sensitive and -resistant clinical isolates identified 364 intron junctions. However, only a subset of genes underwent differential AS between the isolates, all under the IR category. Importantly, expression of the spliced isoform of all the genes increased in the resistant strain, suggesting the functional importance of the spliced isoforms in acquired resistance. Most of the introns retained in the sensitive strains introduced a stop codon which likely prevented the expression of the fully functional protein, an analogous situation to that earlier reported in Cryptococcus neoformans, where IR presents an alternative mechanism of gene regulation to coding for different proteins (16).
We analyzed an AS event in SOD3, a well-known ROS scavenger that showed AS in two independent pairs of isogenic resistant and sensitive isolates. We show that differential expression of SOD3 isoforms was not a response specific to the development of drug resistance of clinical isolates since changes in isoform preferences also occur upon in vitro exposure to drug and metal deficiency. This points toward modulation of AS in SOD3 with varied outcome in response to a variety of cellular stresses. Recently, a study also showed that SOD3 undergoes AS in response to oxidative stress in C. albicans (28).
The observed susceptibility of sod3Δ/Δ cells toward the polyene AMB and a quinone, MND, and the finding that it could be rescued only by the functional spliced isoform of SOD3 highlighted the biological significance of AS in drug resistance. Increase in SOD3 splicing implies abundance of the functional protein which is needed by cells to survive oxidative and metabolism-induced stress. Recent reports have shown that the ectopic expression of SOD1 and SOD3 rescues the genome instability in tetraploid C. albicans cells and could also repress glucose uptake (51, 52).
MND possesses antifungal activity, which gets augmented in the presence of a glucocorticoid betamethasone in C. albicans cells (53). Along with our report that sod3Δ/Δ C. albicans cells are susceptible to MND, sod1Δ/Δ cells are also reported to be susceptible to MND (37, 38, 42). Interestingly, the unspliced isoform of the SOD3 gene did not fully complement sod3Δ/Δ susceptibility toward MND, which revealed its inhibitory effect on splicing compared to AMB, which allows for efficient splicing of the SOD3 IR isoform to generate functional Sod3 protein. The role of MND as a splicing inhibitor has been suggested in human HEK293T cells (54); however, a similar role in yeast is not known. Our results suggest that Candida cells use AS as a gene regulatory mechanism to adjust to the changing environment by modulating the splicing pattern of different genes. On the other hand, antifungal drugs also use modulation of gene splicing as one of the mechanisms for their antifungal activity. Importantly, the AS event associated with SOD3 did not modulate susceptibility to tested azoles; however, the fact that several genes including many uncharacterized ORFs undergo AS in drug-resistant isolates of C. albicans strongly suggests their possible roles remain to be assessed. Notably, the expression of C. albicans SOD3 in the Saccharomyces cerevisiae sod1Δ/Δ mutant could rescue its sensitivity to redox cycling agents including MND (40).
The differential expression of SOD3 isoforms in influencing susceptibility of AMB and MND and specific splicing inhibition by MND suggests that the susceptibility of antifungal MND is probably impacted by AS of the ROS scavenger SOD3 (Fig. 6). The role of AS in regulating the gene function in C. albicans is summarized in Fig. 8.
Introns play an important role in response to nutrient deprivation in Saccharomyces cerevisiae cells (55, 56). Our observation that splicing of SOD3 as well as some other genes in C. albicans is inhibited as the cell enters the stationary phase (see Fig. S4B in the supplemental material) supports the role of IR under nutrient-deficient conditions (56). Reduced splicing as the cells enter into the stationary phase gives them an opportunity to enter an energy-saving mode, suggesting a new functional role for introns (57). In addition, it is possible that IR transcripts do not always get diverted to the nonsense-mediated decay pathway but instead provide a possible ready reserve or storehouse that can be efficiently spliced and translated, as needed, to combat any sudden stress encountered by the cells. Such situations occur in higher eukaryotes but of course require further elaboration in Candida (58). Additionally, how splicing factors are involved in regulating these modulations and how they control the splicing of different genes which may be involved in the virulence and pathogenesis or cellular stresses demand a closer look as reports show the involvement of SR (serine-arginine family of RNA binding proteins)-like proteins in virulence (59). Our study reveals the intricate interplay between splicing regulation in Candida and the impact of drug behavior on susceptibility of the pathogen that decides the cell fate and provides us a target that can be exploited to improve therapeutic response.
MATERIALS AND METHODS
Strains and growth.
Candida albicans strains were grown and maintained in yeast extract-peptone-dextrose (YPD) enriched medium. All the stocks were maintained in 25% glycerol and stored at −80°C. All the experiments were done at 30°C, unless indicated otherwise. All strains used in this study are listed in Table S1 in the supplemental material (60, 61).
RNA extraction.
The C. albicans strains were grown in YPD medium overnight at 30°C. Cells corresponding to an optical density at 600 nm (OD600) of 0.1 were inoculated into fresh YPD medium. Log-phase cells (OD600 0.6) were collected and washed twice with diethylpyrocarbonate (DEPC)-treated MilliQ water. Acid-washed glass beads (0.5 mm from Sigma, MO, USA) were used to break the cells. The Qiagen RNeasy minikit was used to isolate RNA from the cell pellet per the manufacturer’s instructions. The concentration of the RNA was determined using NanoDrop 2000 (Thermo Scientific, USA). The quality of the 28S and 18S rRNA on an agarose gel was used as a measure of integrity.
cDNA synthesis.
Two micrograms of DNase I (Fermentas)-treated RNA was used for first-strand cDNA synthesis. cDNA was synthesized employing Superscript III reverse transcriptase (Invitrogen). Semiquantitative RT-PCR validation of AS events was carried out using Taq polymerase (New England Biolabs) and 28 to 34 cycles of PCR. The PCR products were resolved on a 2% agarose gel along with a 50-bp ladder (New England Biolabs). All the primers used in this study are described in Tables S2 and S3.
RNA sequence analysis.
In order to evaluate the gradual changes in functional splicing, we selected TW1 and -2 (FLC MIC ≤1 μg/ml) as original susceptible isolates, TW8 and -9 (FLC MIC ≤8 μg/ml) as intermediate resistance, and TW16 and -17 (FLC MIC >64 μg/ml) as highly resistant to fluconazole from the collection. We subjected these pairs to RNA-Seq. To find the introns, we employed methodology similar to RNA-Seq data as was used by Bruno et al. (31, 62). For AS analysis, the raw read files of isolates were mapped to the C. albicans genome (SC5314v22) using TopHat2 software. TopHat2 software aligns raw reads in two phases. The first phase consists of aligning all reads to the reference genome. In the second phase, the remaining reads that failed to align in the first attempt are divided into two equal portions, and each portion is then aligned to the reference genome. Reads successfully aligned in the second attempt are reported as junction reads where one part is aligned to the genome and another part is aligned either upstream or downstream to the first read. Notably, the annotation of the Candida genome is changing continuously in the Candida Genome Database (CGD) with respect to an increase in unannotated features, and the CGD does not provide any clear annotation of introns (http://www.candidagenome.org/ [1]). In order to find the condition-specific, differentially expressed junction, we applied a linear model using the Limma platform (63) using in-house scripts in R programming language.
Gene ontology analysis.
Gene ontology (GO) term analysis was performed through GO Slim Mapper and GO term finder using the Candida Genome Database (http://www.candidagenome.org/).
Construction of mutant strains.
C. albicans strains expressing Sod3-GFP fusion protein were created by cloning SOD3 spliced and unspliced isoforms individually in plasmid pNIM1 using the In-Fusion cloning kit (TaKaRa). Briefly, the SOD3 gene was amplified with primers SOD3A (listed in Table S2) from cDNA. The primers were designed with overhangs from GFP and the vector backbone. The SalI restriction site was introduced into both forward and reverse primers. Both the isoforms were eluted separately from the gel and cloned into the SalI-digested pNIM1 vector. Positive clones were selected and confirmed by SalI restriction digestion. SacII- and KpnI-digested plasmids were then transformed into C. albicans sod3Δ/Δ as described earlier (64). Transformants were selected on plates containing 200 μg/ml nourseothricin and confirmed by PCR and also by Western blotting. The sod3Δ/Δ mutant was a kind gift from Karl Kuchler, Medical University of Vienna, Austria.
Growth curves.
C. albicans strains (WT and overexpression strains) were grown in YPD medium overnight at 30°C. Cells corresponding to 0.1 OD600 were used for growth analysis in liquid medium containing MND or AMB in the presence or absence of doxycycline (50 μg/ml) using a 96-well plate. The OD600 was taken for a period of 24 to 48 h using the SpectraMax ID5 microplate reader.
Drug susceptibility assays.
Susceptibility to antifungal drugs was estimated by either broth microdilution or serial dilution spot assay. The broth microdilution method was used to determine MICs of different antifungals to C. albicans strains. Twofold serial dilutions of antifungal drugs were performed in medium, and 104 cells were inoculated into it. Cells were allowed to grow for 48 h at 30°C, and then absorbance was taken at a 600-nm wavelength (OD600). OD600 in the presence of drug was then normalized with OD600 of YPD medium without antifungal treatment. The relative growth was plotted as percent change in growth. The MIC was then defined at the lowest concentration inhibiting growth by at least 80% relative to the drug-free YPD control after incubation. Serial dilution spot assay was performed by 10-fold serially diluting cells in 0.9% saline, and then a 3-μl aliquot was spotted on YPD agar plates with and without drug. Plates were grown at 30°C, and differences in the growth were photographed after 48 h. Each experiment was repeated three times.
In vitro stress assays.
To study the effect of in vitro stresses on AS, C. albicans cells were exposed to indicated stresses like drug stress and iron deficiency. C. albicans (TW1) was grown in YPD medium overnight at 30°C. Cells corresponding to 0.1 OD600 were inoculated into fresh YPD medium. Cells were allowed to grow until OD600 reached 0.6 to 0.8. For drug stress, cells were exposed to subinhibitory concentrations of drugs (AMB and CAS) and BPS, and samples were collected at different intervals of time (0, 30, 60, and 90 min). RNA was extracted using the Qiagen RNeasy minikit per the manufacturer’s guidelines. Five micrograms of RNA was treated with DNase, and 2 μg DNase-treated RNA was used to synthesize cDNA. cDNA was diluted and used for semiquantitative RT-PCR with specific primers listed in Table S2.
ROS measurement.
Intracellular reactive oxygen species (ROS) was measured using fluorescent dye, dichlorodihydrofluorescein diacetate (H2DCFDA) as previously described (65). Briefly, log-phase cells corresponding to 0.6 OD600 were treated with either AMB or MND for 1 h. Cells were then collected and washed with phosphate-buffered saline (PBS) three times. Then, cells corresponding to 2 OD600 were incubated with 20 μg H2DCFDA for 30 min. One-hundred-microliter cell suspensions were then taken into a 96-well plate, and fluorescence was measured with excitation at 485 nm and emission at 520 nm using a SpectraMax ID5. Each experiment was performed in triplicates. Basal values were subtracted from DCFDA-treated values and then plotted.
Western blotting.
Overnight cultures were diluted in YPD to 0.1 OD600 and then grown until reaching 0.6 OD600. MND or AMB was added to the culture and grown for 24 h. Proteins were extracted using the TCA method (66). Extracts corresponding to OD600 1.0 were then separated using 10% SDS-PAGE and blotted onto a nitrocellulose membrane. Rabbit monoclonal anti-GFP antibodies from Cell Signaling Technology (CST) were used to analyze the expression of Sod3-GFP fusion proteins. The membranes were imaged using Odyssey CLx. Anti-PSTAIR antibody was used for a loading control.
Data availability.
The RNA-Seq files have been submitted to the NBCI SRA database under BioProject no. PRJNA630134. The raw analysis files are given in the supplemental material (Data Sets S1, S2, and S3).
ACKNOWLEDGMENTS
This work was supported by a grant from the National Institutes of Health to N.C. (R01AI124499), and in part by a New Jersey Health Foundation grant (PC 40-18) to N.C. The work done in R.P.’s lab was supported in part by grants from the Department of Science and Technology (EMR/2017/001907) and Department of Biotechnology (BT/PR14117/BRB/10/1420/2015), India. R.D.S. acknowledges the funding received from the Department of Biotechnology (BT/PR27108/BID/7/820/2017), India. S.M. acknowledges the Senior Research Fellowship award by the Indian Council of Medical Research.
S.M. also thanks N.C. for supporting her stay at the Public Health Research Institute, New Jersey Medical School, Rutgers University. We thank all R.P. and N.C. laboratory members for helpful discussions. We thank Theodore C. White (University of Missouri, USA) and Joachim Morschhäuser (University of Wurzberg, Germany) for C. albicans strains TW1-17 and Gu4 and Gu5.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The RNA-Seq files have been submitted to the NBCI SRA database under BioProject no. PRJNA630134. The raw analysis files are given in the supplemental material (Data Sets S1, S2, and S3).