ORIGINAL RESEARCH article
Sec. Fungi and Their Interactions
Volume 8 - 2017 | https://doi.org/10.3389/fmicb.2017.00098
Modulation of Replicative Lifespan in Cryptococcus neoformans: Implications for Virulence
- 1Department of Medicine (Division of Infectious Diseases), Stony Brook University, Stony Brook, NY, USA
- 2Department of Biomedical Sciences, Long Island University-Post, Brookville, NY, USA
- 3Department of Medicine (Division of Infectious Diseases), Albert Einstein College of Medicine of Yeshiva University, Bronx, NY, USA
- 4Department of Molecular Genetics and Microbiology, Stony Brook University, Stony Brook, NY, USA
- 5Department of Microbiology and Immunology, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY, USA
The fungal pathogen, Cryptococcus neoformans, has been shown to undergo replicative aging. Old cells are characterized by advanced generational age and phenotypic changes that appear to mediate enhanced resistance to host and antifungal-based killing. As a consequence of this age-associated resilience, old cells accumulate during chronic infection. Based on these findings, we hypothesized that shifting the generational age of a pathogenic yeast population would alter its vulnerability to the host and affect its virulence. SIR2 is a well-conserved histone deacetylase, and a pivotal target for the development of anti-aging drugs. We tested its effect on C. neoformans’ replicative lifespan (RLS). First, a mutant C. neoformans strain (sir2Δ) was generated, and confirmed a predicted shortened RLS in sir2Δ cells consistent with its known role in aging. Next, RLS analysis showed that treatment of C. neoformans with Sir2p-agonists resulted in a significantly prolonged RLS, whereas treatment with a Sir2p-antagonist shortened RLS. RLS modulating effects were dependent on SIR2 and not observed in sir2Δ cells. Because SIR2 loss resulted in a slightly impaired fitness, effects of genetic RLS modulation on virulence could not be compared with wild type cells. Instead we chose to chemically modulate RLS, and investigated the effect of Sir2p modulating drugs on C. neoformans cells in a Galleria mellonella infection model. Consistent with our hypothesis that shifts in the generational age of the infecting yeast population alters its vulnerability to host cells, we observed decreased virulence of C. neoformans in the Galleria host when RLS was prolonged by treatment with Sir2p agonists. In contrast, treatment with a Sir2p antagonist, which shortens RLS enhanced virulence in Galleria. In addition, combination of Sir2p agonists with antifungal therapy enhanced the antifungal’s effect. Importantly, no difference in virulence was observed with drug treatment when sir2Δ cells were used for infection, which confirmed target specificity and ruled out non-specific effects of the drugs on the Galleria host. Thus, this study suggests that RLS modulating drugs, such as Sir2p agonists, shift lifespan and vulnerability of the fungal population, and should be further investigated as a potential class of novel antifungal drug targets that can enhance antifungal efficacy.
Cryptococcus neoformans is a formidable fungal pathogen that causes disease in immunocompromised individuals; especially AIDS patients and organ transplant recipients (Perfect and Casadevall, 2002). This haploid fungus grows by asexual reproduction during the course of infection (Alanio et al., 2011). During asexual reproduction, it undergoes asymmetric mitotic divisions, and the sum of these divisions determines its replicative lifespan (RLS) (Steinkraus et al., 2008). In the course of these divisions, the aging mother cells increasingly manifests phenotypic changes, including increased cell body size analogous to changes described in Saccharomyces cerevisiae, Candida albicans, and Schizosaccharomyces pombe (Fu et al., 2008; Roux et al., 2010; Yang et al., 2011). Also analogous to these yeasts, old C. neoformans cells cease to divide at the completion of their RLS (Bouklas et al., 2013). RLS is different from chronological lifespan (CLS) as it involves active growth of the yeast population, whereas CLS is defined as the number of days non-replicating cells remain viable in a medium with no nutrition (Fabrizio and Longo, 2007; Cordero et al., 2011). It is noteworthy that both RLS and CLS affect longevity in S. cerevisiae, but their relationship does not always correlate (Qin and Lu, 2006; Fabrizio and Longo, 2007; Barea and Bonatto, 2009).
Recent investigations from our laboratory demonstrated that the RLSs of individual C. neoformans strains vary and constitute a stable and reproducible, albeit strain-specific trait (Jain et al., 2009a; Bouklas et al., 2013, 2015). It was also shown that C. neoformans undergoes replicative aging during chronic infection in the human host (Alanio et al., 2011). Most importantly, our data from human as well as rat infection indicated that older C. neoformans cells accumulate in chronic infection because they were selected. Specifically, old cells were found to be more resistant to hydrogen peroxide stress, macrophage-mediated killing, and amphotericin B-mediated killing (Bouklas et al., 2013). This finding is important because patients with cryptococcosis primarily die from chronic meningoencephalitis (Perfect and Casadevall, 2002), and treatment is commonly initiated after weeks or even months of symptoms. The pathogen’s ability to evade the host immune response combined with its ability to replicate and persist in vivo poses a challenge to effective clearance. Consequently, despite the introduction of Combination Antiretroviral Therapy and antifungal therapy, treatment failure, persistent disease, and death remain common (Perfect and Casadevall, 2002; Park et al., 2009).
Based on our published data on selection and acquired resilience of older C. neoformans cells (Bouklas et al., 2013), we hypothesized that emergence, selection, and ultimately persistence of older C. neoformans cells may constitute an unanticipated virulence trait that could potentially be modulated with drug treatment. Consequently, the intriguing question that has transpired is: could manipulation of RLS in C. neoformans have an effect on resilience of the yeast population in the host environment, and therefore indirectly also on virulence? We investigated this question by using drugs known to manipulate RLS. Sirtuins are a large family of NAD+-dependent histone deacetylases that are well-conserved across many species (Greiss and Gartner, 2009), including C. neoformans. SIR2 has been implicated in aging in many model organisms (Landry et al., 2000), including S. cerevisiae (Kaeberlein et al., 1999).
We demonstrate that chemical agonists and antagonists to Sir2p can result in its activation or inhibition, respectively, and consequently affect the lifespan and resilience of the pathogen population in the host.
Materials and Methods
All animal experiments were carried out with the approval of the Albert Einstein College of Medicine Institute for Animal Studies. The protocol number 20091015 was approved by the Institutional Animal Care and Use Committee at Einstein. The study was in strict accordance with federal, state, local and institutional guidelines that include “The Guide for the Care and Use of Laboratory Animals,” “The Animal Welfare Act,” and “Public Health Service Policy on Human Care and Use of Laboratory Animals.” All surgery was performed under ketamine and xylazine anesthesia, and every effort was made to minimize suffering.
Strains and Media
Cryptococcus neoformans serotype A VNI strain, H99, was used in this study (J. Perfect, Duke University). Strains stored at -80°C were streaked to single colonies and maintained on Yeast Extract Peptone agar with 0.05%, or 2% dextrose, or 2% dextrose and drug [2.5 mM (Sigma Aldrich) INAM plates and respective NA controls as detailed in a previous publication (McClure et al., 2012), 1 nM resveratrol (Fisher), 1 nM SirAct (BioVision, Inc.), 1 pM SRT1460 (Fisher), 1–10 pM SRT1720 (Fisher), 1 nM Sirtinol (Sigma Aldrich)] before RLS analysis. Standard yeast culture media were employed and described where appropriate. Plasmids pJAF1, pJAF13, and pUC19 were grown in Escherichia coli on Luria Bertani (LB) agar plates with ampicillin and have been described elsewhere (Jain et al., 2009b).
Disruption and Complementation of SIR2
The complete ORF sequence of SIR2 (CNAG_04886.2) obtained from the Broad Institute was replaced with a neomycin cassette in H99 cells by homologous recombination using biolistic transformation in a PDS-1000/He hepta system (Biorad). For transformation, 5 μg of a purified linear DNA construct was used containing neomycin under H99 ACT1 promoter control and a TRP1 terminator in addition to 1,000 bp of up- and downstream regions of the target ORF. These regions were amplified from the H99 genomic template using the respective primers (Supplementary Table 2). The neomycin resistance gene was amplified from plasmid pJAF1 using primers Neo-F and Neo-R, and the ampicillin (Amp) resistance gene was amplified from the pUC19 plasmid using primers pUC19-F and pUC19-R. All primers contained a Van91I restriction site to permit one-step directional cloning. Amplified products were restricted with Van91I and ligated using Quick ligase enzyme (New England Biolabs, USA), transformed into XL10 Gold cells (Agilent), and clones were selected on Amp-LB agar plates and confirmed by single digestion with Van91I. Clones with the correct construct were amplified using the primers H99SIR2-Lfor and H99SIR2-Rrev. Transformants were screened on YPD plates containing 100 μg/ml G418 (neomycin) and further confirmed by PCR.
The wt SIR2 gene was amplified with its native promoter from the H99 genome template with primers H99SIR2R-For and H99SIR2R-Rev containing EcoRV and XhoI restriction sites (Supplementary Table 2). The gene was cloned into plasmid pJAF13, then linearized using ApaI and randomly inserted into sir2Δ cells by biolistic transformation. sir2Δ+SIR2 positive clones were selected on YPD plates containing 100 μg/ml nourseothricin (NAT) (Werner Bioagents, Germany). Gene complementation was confirmed by PCR.
Replicative lifespan was measured by microdissection as published in S. cerevisiae (Park et al., 2002) with some modifications. Briefly, 20–60 C. neoformans cells of each strain were arrayed on an agar plate maintained at 37°C. The first bud of each cell was identified as the virgin mother cell, which then grew in size with every budding event and could be easily distinguished. New buds from the mother cell were separated at the end of each division (1–2 h) using a 50 μm fiber optic needle (Cora Styles) on a tetrad dissection Axioscope A1 microscope (Zeiss) at 100x magnification. The plate was returned to the incubator after each separation, or to 4°C overnight to prevent excessive budding. The study was terminated when cells had failed to divide for 24 h, and then plates were kept incubated for an additional week to ensure that the failure to divide was from death, not cell cycle arrest. The RLS of each cell was the sum of the total buds until cessation of divisions.
Chronological lifespan was determined by adaptation of a S. cerevisiae protocol (Burtner et al., 2009). Briefly, 2 × 106 cells/ml of the respective strain were grown in YPD medium for 3 days at 37°C and 150 rpm until they reached stationary phase. They were then transferred to sterile dH2O, and the number of viable cells was measured by plating appropriate dilutions every 2 days on YPD agar plates. Colony forming units on the plates were quantitated at 72 h, and the study was terminated when 99.9% of the cells were dead.
For cell and capsule size measurements, C. neoformans cells were suspended in India ink. All slides were imaged at 1000X magnification on an Olympus AX70 microscope, pictures were taken with a Qimaging Retiga 1300 digital camera using the Qcapture Suite V2.46 software (Qimaging, Surrey, BC, Canada), and size was measured in Adobe Photoshop CS5 for Macintosh. At least 100 cells were imaged per group. Yeast cells were also stained with mAb 18B7 to the capsular polysaccharide glucuronoxylomannan and visualized with fluorescein isothiocyanate-labeled goat anti-mouse immunoglobulin G (IgG) (Casadevall et al., 1998). Switching frequencies, doubling times, capsule induction, melanization, mating, macrophage-mediated phagocytosis and killing assays, and MICs of amphotericin B were determined as previously described (Jain et al., 2009b).
Isolation of Old Cells
Wt or mutant C. neoformans cells were grown in YPD medium and isolated at 0–2 or 10-generation-old as described previously (Bouklas et al., 2013). Briefly, newly budded C. neoformans cells were isolated by elutriation (Beckman JE-5.0 rotor in a Beckman J-6B centrifuge; Beckman Instruments, Inc.) and labeled with Sulfo-NHS-LC-Biotin (Thermo Scientific). The newly budded and labeled cells were grown for several generations (10 generations), and collected by first binding them to streptavidin-conjugated magnetic microbeads (Miltenyi Biotec), then isolating them on a magnetic column (Miltenyi Biotec). Unbound young yeast cells (0-2 generations old) that washed off the column and had been exposed to similar manipulations were used as controls. Purity of old cells was confirmed by fluorescein isothiocyanate (FITC)-staining of the streptavidin-labeled cells.
For infection of Galleria mellonella, a 10 μl suspension of 2 × 103 or 2 × 104 C. neoformans cells was used to infect larvae (n = 20–40) (Vanderhorst Wholesale, Inc., St. Marys, OH, USA) in the last proleg as described previously (Cotter et al., 2000). 10 μl of drug [2.5 mM isonicotinamide (Sigma Aldrich), 1 nM resveratrol (Fisher), 1 nM SirAct (BioVision, Inc.), 1 pM SRT1460 (Fisher), 1–10 pM SRT1720 (Fisher), 1 nM Sirtinol (Sigma Aldrich)], or drug and 0.06 μg/ml AMB was given through a different proleg every 2 days.
For infection of mice, 5 × 104 C. neoformans cells were used to infect 6–8 week old female BALB/c mice (n = 10) (National Cancer Institute, Bethesda, MD, USA) either i.v. or i.t. (Huffnagle et al., 1991; Mukherjee et al., 1994). The fungal burden was determined either 4 h or on day 10 by sacrificing mice, and plating dilutions of homogenized organ suspensions onto YPD plates.
RNA Sequencing and Analysis
Three biological replicates of wt or sir2Δ cells were grown in YPD or YEP and 0.05% glucose broth overnight at 37°C, and approximately 108 cells were collected and suspended in 0.5 mm zirconia beads and RLT buffer (Qiagen), then disrupted mechanically using a mini bead beater (Biospec) for 2 min for a total of four cycles with 1 min intervals on ice. Following lysis, total RNA was isolated using RNeasy mini kit (Qiagen) according to the manufacturer’s instructions. RNA hybridization, data acquisition and analysis were performed by the Genome Technology Access Centre, Washington University in St. Louis (GTAC-WUSTL). Briefly, total RNA was first reverse-transcribed with polyA selection and then sequenced on an Illumina HiSeq 2000. The raw sequence reads were then converted to basecalls, demultiplexed, and aligned to a reference sequence with Tophat v2.0.9 and Bowtie2 v2.1.0. Gene abundances were derived by HTSeq. Differential expression was estimated by pair-wise negative binomial tests with EdgeR and DEXSeq. Gene ontology (GO) enrichment was performed by GTAC-WUSTL. Each gene was assigned a GO category per the Broad Institute’s PFAM annotations using the provided map1. Any genes with a p < 0.05 by a hypergeometric test and an FDR q < 0.25 were used to determine significance. A heatmap of transcriptome data was generated using R software.
Real-time PCR was performed on RNA isolated from wt or mutant grown in variable media (2% YPD, or 2% YPD with 2.5 mM isonicotinamide, 1 nM resveratrol, 1 nM SirAct, 1 pM SRT1460, 1–10 pM SRT1720, 1 nM Sirtinol). The RNA was cleaned for DNA contamination using the MessageClean kit (GenHunter, Corp.), and cDNA was synthesized using the First-strand Superscript II RT kit (Life Technologies) according to the manufacturer’s instructions. Relative expression of genes was measured by real-time PCR using SYBR green (Applied Biosystems) in an ABI 96 system using primers listed in Supplementary Table 2. Expression levels were performed in quadruplicates and normalized against the wt grown in YPD without drug, and relative transcript levels were determined using the delta-delta CT method. cDNA integrity was verified by measuring expression levels with β-actin, and DNA contamination was ruled out by using cDNA made with dH2O.
Standard statistical analysis and non-parametric tests, such as Student’s t-test, Log-rank, and Wilcoxon rank sum tests were performed using Prism version 6 (Graphpad), or Microsoft Excel 2011 for Macintosh. Differences were considered significant if p < 0.05.
The data was deposited at NCBI and can be accessed on GEO (accession #GSE74298).
Loss of SIR2 Shortens the Replicative Lifespan of C. neoformans
Sirtuins impact RLS in many diverse organisms, which explains why they are chosen as a target for the development of RLS modulating drugs. Protein sequences encoded by SIR2 are conserved among fungi (Supplementary Table 1). To test the effect of Sir2p modulating drugs on pathogenesis, a sir2Δ strain had to first be generated. SIR2 was deleted by homologous recombination (Supplementary Figure 1) in a C. neoformans serotype A VNI strain, H99, by standard techniques (sir2Δ), and a complemented strain was also generated (sir2Δ+SIR2). As expected for a lifespan-modulating gene, loss of SIR2 resulted in measurably impaired fitness. Specifically, a mildly attenuated in vitro growth in standard rich media (YPD) was observed (Table 1; Supplementary Figure 2A). However, fitness of sir2Δ was less affected in calorie restricted (CR) low glucose growth conditions. Of note is that low glucose growth conditions are encountered in the host, especially in the brain environment, and therefore the mutant is still virulent in vivo. A smaller capsule size was noted in the mutant; however, both the wild type (wt) and the mutant capsules induced successfully (Table 1). Similar to S. cerevisiae, the sir2Δ mutant was unable to mate with its isogenic mating partner (Table 1).
Replicative lifespan analysis by microdissection confirmed that SIR2 controls lifespan in C. neoformans (Figure 1A). Specifically, lifespan analysis determined that the median RLS of sir2Δ cells was shortened by 33% relative to the RLS of H99 cells (33 to 22 generations, p < 0.0001). The shortened RLS was reconstituted to 34 generations in the complemented strain. RLS was also determined under CR with 0.05% glucose, whereby 0.05% corresponds to the glucose concentration encountered in human cerebrospinal fluid (CSF). Under CR conditions, the median RLS of H99 cells was extended by 48% from 33 to 49 generations (p < 0.0001) (Figure 1B). This was dependent on SIR2, and accordingly RLS analysis of sir2Δ cells under CR demonstrated no effect. CLS, measured by viability without nutrition, was not affected by CR, or different in sir2Δ cells compared to the wt (Table 1; Supplementary Figure 2B). In summary, similar to S. cerevisiae, SIR2 function has a major impact on the RLS of C. neoformans, but loss also has an effect on its fitness, which has to be taken into consideration when association of lifespan and virulence is examined.
FIGURE 1. Loss of SIR2 shortened the RLS of strain H99, but had no effect on its virulence. (A) The effect of loss of SIR2 on the RLS of a serotype A VNI strain, H99, was determined by microdissection of sir2Δ cells (dashed line) and found to significantly shorten its median RLS by 33% compared to the wt (straight line). p < 0.0001. The shortened RLS was reconstituted in the complement (dotted line). (B) 0.05% glucose calorie restriction (CR) significantly extended the median RLS of wt cells by 48%. p < 0.0001. CR had no effect on the RLS of sir2Δ cells. (C) A slightly attenuated virulence was observed in Galleria mellonella infected with 2 × 103 mutant cells compared to wt cells. Also (D) no significant virulence difference was observed in BALB/c mice injected i.v. with 5 × 104 mutant or wt cells. (E) sir2Δ cells crossed the blood-brain barrier equally well-compared to the wt strain as suggested by comparable brain CFUs 4 h after i.v. infection. (F) 10-generation-old sir2Δ cells significantly resisted killing by murine macrophages compared to 0-2 generation old sir2Δ cells, and 0–10 generation old wt cells. RLS experiments with the respective medium (n = 40–60 cells) were performed at the same time. p-values were calculated by Wilcoxon Rank Sum Test. ∗∗p < 0.01.
Loss of SIR2 Impairs Fitness and Decreases Virulence
Given the impaired fitness, which is seen with most mutants of RLS modulating genes (Kaeberlein and Kennedy, 2005; Kaeberlein et al., 2005), we compared the virulence of sir2Δ and wt cells in different infection models, including G. mellonella (waxworm) and two murine models of infection. In Galleria, survival was found to be slightly decreased at an inoculum dose of 2 × 103 CFU (Figure 1C), and significantly decreased at higher inocula (Figure 3). Consistent with the observed growth attenuation of sir2Δ cells in rich medium, sir2Δ cells exhibited hypovirulence also in the murine pulmonary infection model (Supplementary Figure 3), where a lower organ fungal burden (data not shown) was noted in sir2Δ infected mice. Interestingly, comparable survival was observed in the intravenous (i.v.) model, where growth difference would be expected to be less pronounced because the brain is a low glucose growth environment (Figure 1D). Comparable brain CFUs obtained 4 h after i.v. infection from mouse brain also suggested that both sir2Δ and wt cells crossed the blood-brain barrier equally well (Figure 1E).
Interestingly, despite the expected hypovirulence, resistance to macrophage-mediated killing at baseline was found to be comparable in the sir2Δ and wt cells. This suggests that hypovirulence is predominantly the result of slightly slower growth. And more importantly, when killing was compared in cells aged to 10 generations, resistance was significantly higher in sir2Δ cells compared to wt cells of the same generational age (Figure 1F). Specifically, 10-generation-old sir2Δ cells manifested a higher resistance to killing by a murine macrophage cell line, J774.16, indicating that at 10 generations they were phenotypically older, consistent with their shortened RLS. Whereas, wt cells, which have a longer RLS are still younger phenotypically at 10 generations, which is reflected in their decreased resilience. The reason that this enhanced resilience does not lead to hypervirulence is most likely because young sir2Δ cells grow slower than wt cells in the nutrient rich environment of the lung. The sir2Δ cells can therefore not expand fast enough to undergo selection for older generations. In summary, these data highlight limitations of knockout mutants and demonstrate that association of RLS and virulence cannot be investigated by a genetic approach because growth, albeit slightly, is impaired by loss of SIR2. The data, however, indicate that the mutant is potentially valuable because it can still cause death of Galleria and mice under certain experimental conditions. Therefore, it is justified to use the mutant as a control for off-target effects of Sir2p modulating drugs.
In vitro Effects of Sir2p Agonists and Antagonists on RLS
We sought to explore if we could identify drugs that modulate RLS in an individual C. neoformans strain. First, we explored RLS modulation in vitro. For these experiments, six drugs were chosen. These included isonicotinamide (INAM), a nicotinamide isostere, chosen because it extends RLS in S. cerevisiae by alleviating nicotinamide, the feedback inhibitor to Sir2p’s deacetylation function (McClure et al., 2012). Additional Sir2p activators examined were resveratrol, SirAct, and two small molecules (SRT1460 and SRT1720) that were developed originally by Sirtris (now GlaxoSmithKline) to activate the human homolog, Sirt1p. Lastly, we also included a Sir2p inhibitor (sirtinol).
These studies found that all Sir2p agonists, except SRT1720, had a prolongevity effect on C. neoformans (Figure 2). Specifically, INAM extended the median RLS of H99 cells restricted for nicotinic acid (NA) by 46% from 28 to 41 generations (p < 0.0001) (Figure 2A). Resveratrol extended the median RLS of H99 cells by 32% from 31 to 41 generations (p = 0.006) (Figure 2B). SirAct extended the median RLS of H99 cells by 41% from 27 to 39 generations (p = 0.01) (Figure 2C). Finally, SRT1460 extended the median RLS of H99 cells by 39% from 27 to 37.5 generations (p = 0.04) (Figure 2D). SRT1720 was found to be toxic to cells at nM concentrations, and when titered down to non-toxic concentrations of 1–10 pM, it was found to have no significant effect on RLS of H99 cells (Figure 2E). As would be expected for Sir2p agonists, RLS prolongation required the presence of SIR2, and therefore no prolongevity effect was observed with sir2Δ cells for all the RLS drugs tested (Figure 2). In addition, we documented the opposite effect on RLS with sirtinol, a Sir2p inhibitor. Exposure to this drug shortened the median RLS of H99 cells by 20% from 31 to 25 generations (p = 0.006) in a Sir2p-dependent manner (Figure 2F).
FIGURE 2. Multiple Sir2p agonists and an antagonist altered the RLS of H99. (A) INAM extended the median RLS of H99 cells in NA-depleted conditions by 46%, (B) resveratrol by 32%, (C) SirAct by 41%, and (D) SRT1460 by 39%, respectively (all p < 0.04). In contrast (E) 1–10 pM SRT1720 failed to extend the median RLS of H99 cells or was toxic to Cryptococcus neoformans. As expected, the SIR2 antagonist (F) sirtinol significantly shortened the median RLS of H99 cells by 20% (p = 0.006). RLS experiments with the respective drug (n = 40–60 cells) were performed at the same time. p-values were calculated by Wilcoxon Rank Sum Test.
Effects of RLS Modifying Drugs on Virulence in Galleria
Next the effect of RLS modifying drugs was tested in vivo. We chose the Galleria infection model because phagocytic cells constitute the predominant host response in this model (Aperis et al., 2007), and drug treatment is easily executed. Older C. neoformans cells are not truly more virulent (Bouklas et al., 2013), rather they should be viewed as more resilient to clearance by host cells, and therefore persistence of older cells is the consequence of selective preferential killing of younger cells. We have previously shown that old cells are more resistant to phagocytosis and killing by macrophages (Bouklas et al., 2013). We explored if RLS modulating drugs would affect clearance. Importantly, neither the RLS drugs, nor PBS alone had an effect on non-infected waxworms (Supplementary Figure 4). When INAM was given on alternate days to waxworms infected with H99 at an inocula of 2 × 104 cells, we observed decreased virulence relative to sham-treated waxworms, measured as a significantly prolonged survival of the waxworm (Figure 3A). Similar decreased virulence of H99 was observed in waxworms with resveratrol treatment (Figure 3A). To control for off target effects, we tested the drugs also in Galleria infected with sir2Δ cells, where you would not expect an effect if the RLS modulating drug works strictly through Sir2p. As expected because of slightly impaired fitness, the sir2Δ infected waxworms die later compared to wt H99 infected waxworms (Figure 3B). However, these experiments confirmed specificity because the effect of RLS modulating drugs on waxworm survival was dependent on Sir2p, and neither INAM, nor resveratrol treated waxworms infected with sir2Δ cells exhibited a survival difference when compared to untreated controls. Consistent with our hypothesis that prolongation of RLS lessens virulence, whereas shortening of RLS enhances virulence, we found that treatment with the Sir2p inhibitor, sirtinol, had the opposite effect and enhanced virulence, and therefore decreased waxworm survival was documented (Figure 3A). This drug effect was again SIR2 dependent (Figure 3B). For waxworms treated with SirAct and SRT1460, significantly increased waxworm survival was also observed (Figure 3C), whereas toxicity or no effect was seen with SRT1760 (data not shown). The latter was predicted by the in vitro RLS data (Figure 2). However, for SRT1460 and SirAct, we found that changes in virulence were not Sir2p-dependent because drug-treated waxworms infected with sir2Δ cells also lived significantly longer compared to sham-infected (Figure 3D; Supplementary Figure 4).
FIGURE 3. Sir2p agonists and antagonist alter virulence of H99 in Galleria. (A) INAM and resveratrol given to waxworms infected with 2 × 104 H99 cells resulted in their prolonged survival, whereas sirtinol treatment resulted in decreased survival. (B) Lifespan effects were dependent on Sir2p and not observed when infections were done with sir2Δ cells. (C) SirAct and SRT1460 given to waxworms infected with 2 × 104 H99 cells resulted in their prolonged survival. (D) Lifespan effects were dependent on Sir2p and not observed when infections were done with sir2Δ cells. Virulence experiments with the respective drug (n = 20–40 worms) represent duplicate experiments and were performed with the respective mutant at the same time. p-values were calculated by Log-Rank test.
Effect on RLS Drugs in Combination with Antifungals
Next we tested the effect of RLS modulating drugs in combination with antifungal therapy. Previous work demonstrated that sensitivity of C. neoformans cells to amphotericin B (AMB) is dependent on the generational age of the cell and enhanced antifungal-efficacy is observed in younger cells (Jain et al., 2009a; Bouklas et al., 2013). Therefore, we tested if concomitant treatment with Sir2p agonists would enhance antifungal efficacy in H99-infected waxworms that were treated with sub-therapeutic levels of AMB. Both INAM (Figure 4A) and resveratrol (Figure 4C) resulted in significantly increased waxworm survival relative to treatment with RLS or antifungal drug alone. Again, no enhanced survival benefit was observed in the mutant-infected waxworms that received the RLS drug and AMB treatment in combination (Figures 4B,D). Here only, AMB treatment prolonged survival. No significant increase in survival was observed with sirtinol-treated waxworms that received AMB (Figure 4E); and, this effect was SIR2-dependent (Figure 4F).
FIGURE 4. Adjunctive treatment of Sir2p agonists with amphotericin B enhanced antifungal efficacy. Treatment with Sir2p agonists, (A) INAM or (C) resveratrol, and 0.06 μg/ml AMB enhanced antifungal efficacy in H99-infected worms. (B,D) Lifespan effects were dependent on Sir2p and not observed when infections were done with sir2Δ cells. (E) The Sir2p antagonist (sirtinol) had a reverse, albeit minimal, effect that was notably (F) Sir2p-dependent. Virulence experiments with the respective drug (n = 20–40 worms) represent duplicate experiments and were performed with the respective mutant at the same time. p-values were calculated by Log-Rank test.
Effect of RLS Drugs on SIR2 Expression
Lastly, quantitation of SIR2 expression by RT-PCR in strains grown with the Sir2p agonists or antagonist confirmed a drug-dependent SIR2 regulation in H99. It is noteworthy that RLS modulating drugs do not affect doubling times significantly (Table 2). Specifically, compared to untreated H99 cells, significant upregulation of SIR2 expression was documented in response to INAM, resveratrol, and SirAct treatment in H99, and significant downregulation of SIR2 expression was documented in response to sirtinol (Figure 5). SIR2 expression was not significantly regulated under SRT1460 or SRT1720.
FIGURE 5. SIR2 expression was differentially regulated by chemical drugs. H99 cells grown in the presence of Sir2p agonists (INAM, resveratrol, SirAct) showed a higher expression of SIR2 as measured by RT-PCR, compared to cells grown in the absence of agonists, or the presence of the Sir2p antagonist, sirtinol. RT-PCR was performed in quadruplicates and normalized to β-actin. p-values were calculated by Student’s t-test. ∗p < 0.05, ∗∗p < 0.01.
Sir2p is Involved in Several Biological Processes in C. neoformans Consistent with the Pleiotropic Effects Observed from SIR2 Loss
Lastly, the transcriptome of sir2Δ and wt H99 cells grown in rich media or under more physiologic CR media was compared by RNA sequencing (GEO accession #GSE74298). Grown in rich media (RM: YEP + 2% glucose), 25 genes were down- and 3 genes were upregulated in sir2Δ cells (fold change ≤ 1.5-fold, p < 0.05). As expected, more pronounced transcriptional regulation was found in CR media (CR: YEP + 0.05% glucose), where 232 genes were down- and 80 genes up-regulated (FC ≤ 1.5-fold, p < 0.05). A heatmap was generated (Figure 6), and GO analysis was performed to assign the genes affected by SIR2 loss to GO categories. In rich media, enriched GO categories included the biological processes of vesicle- and ER to Golgi vesicle-mediated transport, intracellular protein transport, and the cellular components of Golgi apparatus, cell division site, and cell tip. In CR growth conditions, GO analysis assigned genes affected by SIR2 loss to the following distinct biological processes: transmembrane transport, transcription and translation, molecular functions of transporter activity, and the cellular components of cell membrane, ribosome, nucleolus, and mitochondria. Although minimal overlap with respect to specific genes (2%) was noted for the transcriptomes under RM and CR, some common GO pathways overlapped (21%), including transmembrane and transport activity, translation, and the cellular components of mitochondria and ribosomes. Comparison with S. cerevisiae transcriptome data (Cherry et al., 2012) identified common GO categories, such as negative regulation of DNA recombination, regulation of DNA-templated transcription, NAD-dependent histone deacetylase activity, and the nucleolus (asterisk in Figure 6). Thus, a role of SIR2 in transport and several intracellular cell components, particularly under nutrient-limiting conditions is suggested and explains the pleiotropic phenotype observed in the mutant.
FIGURE 6. A loss of SIR2 in calorie-restricted media affects multiple biological pathways consistent with the observed pleiotropic phenotype. A heatmap of transcriptomes shows upregulation of ribosome biogenesis genes, transcription and translation, and NAD-regulating genes, as well as downregulation of mating genes. Common gene ontology (GO) categories were also found from similar transcriptome mining in Saccharomyces cerevisiae and are highlighted with an asterisk.
Recent investigations on replicative aging in C. neoformans (Jain et al., 2009a; Bouklas et al., 2013) indicate that older C. neoformans cells of advanced replicative age are selected in vivo during chronic infection. Furthermore, data indicated that old cells are selected because their phenotype is more resilient in the setting of chronic disease. Accordingly, we demonstrated that 10-generation-old cells were more resistant to antifungal therapy and phagocytic killing. In this study, we present evidence that modulation of RLS in the C. neoformans strain, H99, through treatment with Sir2p agonists changes the vulnerability/resilience of the pathogen population, and therefore an impact on virulence, as well as sensitivity to antifungal therapy is observed.
The question of whether a shortened or extended RLS confers a benefit to a C. neoformans strain is challenging to investigate because lifespan is a dynamic trait that has to first emerge, and in addition lifespan (Bitterman et al., 2003; Jazwinski, 2004; Steinkraus et al., 2008; Bouklas et al., 2013, 2015), and virulence (Adler et al., 2011; Haynes et al., 2011; Kronstad et al., 2012; Zaragoza and Nielsen, 2013; Sabiiti et al., 2014) are regulated by multiple factors. A straightforward reductionist approach, where RLS is modified through loss of a longevity-promoting gene, is therefore not feasible. In addition, a genetic approach is hampered by the fact that longevity-regulating genes in S. cerevisiae also regulate fitness (Kaeberlein and Kennedy, 2005; Kaeberlein et al., 2005). This is also true for known homologs in C. neoformans; for instance, the tor1Δ mutant is not viable (Cruz et al., 2001), the ras1Δ mutant grows slower (Waugh et al., 2002), and the sch9Δ mutant has an altered polysaccharide capsule (Wang et al., 2004), and would not constitute as adequate targets to answer that question. Therefore, changes in virulence in these C. neoformans mutants cannot be related to changes in RLS.
SIR2 homologs are among the most intensely investigated lifespan modulating genes. In S. cerevisiae, loss of SIR2 shortens RLS, while overexpression results in extension of RLS (Kaeberlein et al., 1999). SIR2 prolongevity effects have been reported in other eukaryotes (Tissenbaum and Guarente, 2001; Wood et al., 2004; Guarente, 2007), and drugs that alter Sir2p function are being actively pursued (Baur et al., 2012). However, Sir2p is a histone deacetylase (Guarente and Kenyon, 2000) that regulates over 100 genes in S. cerevisiae (Cherry et al., 2012). Pleiotropic effects in the sir2Δ also include loss of fitness (Kaeberlein and Kennedy, 2005; Kaeberlein et al., 2005).
In this study, we first investigated the loss of Sir2p function in the standard serotype A VNI strain, H99, which is derived from a patient and used for experiments by the majority of laboratories that investigate C. neoformans. Consistent with RLS studies in S. cerevisiae (Lin et al., 2000; Kaeberlein et al., 2004), sir2Δ C. neoformans cells exhibited a significantly shortened median RLS that was regained with reconstitution. As predicted by S. cerevisiae and other model organisms of aging (Wood et al., 2004; Guarente and Picard, 2005; Fontana et al., 2010; Skinner and Lin, 2010), CR was found to prolong lifespan in C. neoformans as well. CR is modeled in yeast by reduction of glucose content from 2 to 0.05% (Lin et al., 2002; Kennedy et al., 2005). Extension of lifespan through CR was dependent on SIR2 in H99. Accordingly, SIR2 was upregulated in H99 cells under CR. It is noteworthy that so far, the majority of lifespan studies under CR have been conducted in primarily fermentative Crabtree-positive yeasts, such as S. cerevisiae and Schizosaccharomyces pombe, and only a few studies in the primarily respiratory Crabtree-negative yeasts, Candida albicans and Kluyveromyces lactis, are emerging (Skinner and Lin, 2010). C. neoformans is an obligate aerobic yeast, but can tolerate some hypoxic stress (Chun et al., 2007). CR in Crabtree-negative and in obligate aerobic yeasts does not activate a fermentation-to-respiration switch. Thus, C. neoformans provides a unique platform to study the respiration switch-independent mechanisms of CR.
Sirtuins have been implicated in a wide range of cellular processes beyond aging. Our transcriptome data confirm this. We found that genes involved in many diverse biological processes are regulated. As expected, regulation is greatly enhanced under CR conditions. Important virulence-associated traits that were altered in H99 sir2Δ cells include a mating defect and impaired growth, which is physiologically more relevant in the host environment. Notably the growth defect was not significant under CR growth conditions. Other virulence-associated properties, such as melanization, H2O2 resistance, phagocytosis, and killing in macrophages were not affected by loss of SIR2 in young cells. The capsule difference was judged as minor, and capsule was inducible regardless of SIR2 loss. Impaired growth in the mutant cells underscores the aforementioned predicament, namely that RLS mutants cannot be used to determine if the length of RLS affects virulence. Fortunately, the sir2Δ was virulent in the G. mellonella infection model despite mildly attenuated growth, which allows us to use this mutant as a valuable control. Even in rodents, the sir2Δ mutant could be used as a control in the CNS model because it is virulent and can cause death in mice.
Over the past two decades, genetic approaches using diverse organisms have identified 100s of aging genes and highlighted evolutionary conservation among longevity pathways between disparate species (Managbanag et al., 2008). Although the major driving force of aging research is its application to novel therapies against chronic disease and direct extension of human lifespan, our intention was to test SIR2 modifying anti-aging drugs with respect to their ability to alter the median RLS of eukaryotic pathogen populations. Given that cells of advanced generational age exhibit enhanced resistance to phagocytic killing, and to antifungals (Jain et al., 2009a; Bouklas et al., 2013), it was reasonable to hypothesize that in a C. neoformans strain with a prolonged RLS, the resilient old age phenotype would emerge later, and therefore would contribute to decreased resilience and virulence of the pathogen population (Figure 7).
FIGURE 7. A schemata highlights the relationship between virulence and resilience of the pathogen population, and the effect of RLS modulating drugs on lifespan.
Significantly, increased longevity was achieved in H99 cells in vitro with four of the five tested Sir2p agonists. As expected, the opposite effect on RLS was observed with the Sir2p inhibitor, sirtinol. SRT1460 and SRT1720 are high affinity small molecules that were designed to bind to the human Sir2p analog, Sirt1p (Milne et al., 2007), and therefore it was not surprising that SRT1720 did not prolong RLS in C. neoformans. SRT1460 had a statistically significant prolongevity effect. Both did not induce fungal SIR2 in vitro. Resveratrol, a stilbenoid, is an established anti-aging drug that has a significant prolongevity effect on the RLS of S. cerevisiae (Howitz et al., 2003), and also on other model organisms (Baur et al., 2006; Bass et al., 2007). In C. neoformans, we documented a significant prolongevity effect on RLS as well. The prolongevity effect of resveratrol in S. cerevisiae is SIR2-independent (Kaeberlein and Kennedy, 2007; McClure et al., 2012), but this is strain dependent. Our data, however, indicate that for the C. neoformans strain, H99, the prolongevity effect was dependent on SIR2. Future studies with the sir2Δ in other C. neoformans strain backgrounds would have to be done to confirm consistent dependence on SIR2. INAM is a nicotinamide isostere that extends RLS in S. cerevisiae by alleviating nicotinamide, an NAD+ precursor and feedback inhibitor to Sir2p’s deacetylation function (McClure et al., 2012). This drug is thought to extend RLS only through the action of Sir2p in S. cerevisiae. In C. neoformans, this was confirmed. SirAct is a carboxamide, which was developed to treat aging related diseases in humans (Nayagam et al., 2006). Our results demonstrate that this drug also has a significant Sir2p dependent effect on C. neoformans RLS.
Based on our in vitro data, we sought to test the effect of RLS modulating drugs in an in vivo virulence model in Galleria. Indeed, these data confirmed that RLS modulating drugs could have an impact on virulence. We demonstrated that RLS prolonging drugs increase survival and decrease virulence in Galleria, whereas RLS shortening drugs decrease waxworm survival when infected with H99 wt cells. In addition, our experiments showed that RLS modulating drugs could enhance the antifungal efficacy of amphotericin B in C. neoformans infected Galleria. This effect is not seen when sirtinol, which shortens RLS, or in all the cases where waxworms were infected with sir2Δ cells instead of the wt. We propose that prolongation of RLS alters vulnerability in vivo as it shifts the median RLS to a younger pathogen population, which has not acquired the old age phenotype yet.
One concern is that the drugs could have an independent effect on the host’s virulence. Resveratrol, for instance, inhibits laccase activity and melanization in C. neoformans cells (Fowler et al., 2011). However, the fact that sir2Δ infected Galleria do not exhibit the same changes in virulence suggests that the decreased virulence is dependent on fungal-specific Sir2p. It is also noteworthy that doubling times are not significantly affected by drug treatment. RNA transcriptome comparison of H99 in CR conditions demonstrates upregulation of SIR2 under CR. Most importantly, published transcriptome data from CNS derived C. neoformans cells (Chen et al., 2014) also demonstrate that SIR2 is upregulated in yeast derived from the CSF. Hence, future studies in rodent models constitute a rational approach to further explore this expanding class of drugs (Zhai et al., 2012). An additional concern is that the drugs could have an independent effect on mammalian cells, which share the homologous Sirt1p. Recent successful designs of human specific Sirt1p agonists suggest that with proper medicinal chemistry (Nayagam et al., 2006; Milne et al., 2007), it may be possible to produce fungal-specific Sir2p analog(s) that have minimal off-target effects. Our data with Galleria suggest that SRT1460 has off-target and Sir2p-independent effects on the host that may affect survival. This effect, however, is not observed for INAM or resveratrol.
Finally, our data further support a more complex understanding of pathogenesis, whereby the median RLS of a strain may not matter per se, but age-related resilience should be viewed as an emerging virulence trait of a pathogen population that may come as a trade-off for fitness. This naturally acquired old age phenotype, once selected could become dominant in the pathogen population, and indeed impact outcome and affect persistence (Figure 7). Our data strongly suggest that this process can be harnessed and targeted with drugs, which opens up a new class of antifungal drug targets. Importantly, this novel concept of generational phenotypes that promotes their selection within a pathogen population may be relevant to other eukaryotic pathogen populations, many of which cause chronic diseases that are notoriously difficult to treat, and for which new drug targets are desperately required. Aging related phenotypes are not present in overnight cultures and only become relevant in the host environment because a highly selective host response has to be present in vivo to drive selection, and permit the emergence of older cells in the host.
BF, TB, and NJ conceived and designed the work. TB performed the experiments and collected the data. BF, TB, and NJ performed data analysis and interpretation. BF and TB drafted and revised the article. BF, TB, and NJ gave final approval of the version to be published.
BF is supported by NIH award R01 AI059681.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We would like to acknowledge Dr. Xiaobo Wang (Montefiore Medical Center) for mice infections, and Dr. Natalie Silmone De Monerri (Dr. Kami Kim laboratory, Albert Einstein College of Medicine) for heatmap analysis.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/article/10.3389/fmicb.2017.00098/full#supplementary-material
Adler, A., Park, Y. D., Larsen, P., Nagarajan, V., Wollenberg, K., Qiu, J., et al. (2011). A novel specificity protein 1 (SP1)-like gene regulating protein kinase C-1 (Pkc1)-dependent cell wall integrity and virulence factors in Cryptococcus neoformans. J. Biol. Chem. 286, 20977–20990. doi: 10.1074/jbc.M111.230268
Alanio, A., Desnos-Ollivier, M., and Dromer, F. (2011). Dynamics of Cryptococcus neoformans-macrophage interactions reveal that fungal background influences outcome during cryptococcal meningoencephalitis in humans. MBio 2:e00158-11. doi: 10.1128/mBio.00158-11
Aperis, G., Fuchs, B. B., Anderson, C. A., Warner, J. E., Calderwood, S. B., and Mylonakis, E. (2007). Galleria mellonella as a model host to study infection by the Francisella tularensis live vaccine strain. Microbes Infect. 9, 729–734. doi: 10.1016/j.micinf.2007.02.016
Barea, F., and Bonatto, D. (2009). Aging defined by a chronologic-replicative protein network in Saccharomyces cerevisiae: an interactome analysis. Mech. Ageing Dev. 130, 444–460. doi: 10.1016/j.mad.2009.04.005
Bass, T. M., Weinkove, D., Houthoofd, K., Gems, D., and Partridge, L. (2007). Effects of resveratrol on lifespan in Drosophila melanogaster and Caenorhabditis elegans. Mech. Ageing Dev. 128, 546–552. doi: 10.1016/j.mad.2007.07.007
Baur, J. A., Pearson, K. J., Price, N. L., Jamieson, H. A., Lerin, C., Kalra, A., et al. (2006). Resveratrol improves health and survival of mice on a high-calorie diet. Nature 444, 337–342. doi: 10.1038/nature05354
Baur, J. A., Ungvari, Z., Minor, R. K., Le Couteur, D. G., and de Cabo, R. (2012). Are sirtuins viable targets for improving healthspan and lifespan? Nat. Rev. Drug Discov. 11, 443–461. doi: 10.1038/nrd3738
Bitterman, K. J., Medvedik, O., and Sinclair, D. A. (2003). Longevity regulation in Saccharomyces cerevisiae: linking metabolism, genome stability, and heterochromatin. Microbiol. Mol. Biol. Rev. 67, 376–399. doi: 10.1128/MMBR.67.3.376-399.2003
Bouklas, T., Diago-Navarro, E., Wang, X., Fenster, M., and Fries, B. C. (2015). Characterization of the virulence of Cryptococcus neoformans strains in an insect model. Virulence 6, 809–813. doi: 10.1080/21505594.2015.1086868
Bouklas, T., Pechuan, X., Goldman, D. L., Edelman, B., Bergman, A., and Fries, B. C. (2013). Old Cryptococcus neoformans cells contribute to virulence in chronic cryptococcosis. MBio 4:e00455-13. doi: 10.1128/mBio.00455-13
Casadevall, A., Cleare, W., Feldmesser, M., Glatman-Freedman, A., Goldman, D. L., Kozel, T. R., et al. (1998). Characterization of a murine monoclonal antibody to Cryptococcus neoformans polysaccharide that is a candidate for human therapeutic studies. Antimicrob. Agents Chemother. 42, 1437–1446.
Chen, Y., Toffaletti, D. L., Tenor, J. L., Litvintseva, A. P., Fang, C., Mitchell, T. G., et al. (2014). The Cryptococcus neoformans transcriptome at the site of human meningitis. MBio 5:e001087–13. doi: 10.1128/mBio.01087-13
Cherry, J. M., Hong, E. L., Amundsen, C., Balakrishnan, R., Binkley, G., Chan, E. T., et al. (2012). Saccharomyces genome database: the genomics resource of budding yeast. Nucleic Acids Res. 40, D700–D705. doi: 10.1093/nar/gkr1029
Chun, C. D., Liu, O. W., and Madhani, H. D. (2007). A link between virulence and homeostatic responses to hypoxia during infection by the human fungal pathogen Cryptococcus neoformans. PLoS Pathog. 3:e22. doi: 10.1371/journal.ppat.0030022
Cordero, R. J., Pontes, B., Guimaraes, A. J., Martinez, L. R., Rivera, J., Fries, B. C., et al. (2011). Chronological aging is associated with biophysical and chemical changes in the capsule of Cryptococcus neoformans. Infect. Immun. 79, 4990–5000. doi: 10.1128/IAI.05789-11
Cotter, G., Doyle, S., and Kavanagh, K. (2000). Development of an insect model for the in vivo pathogenicity testing of yeasts. FEMS Immunol. Med. Microbiol. 27, 163–169. doi: 10.1111/j.1574-695X.2000.tb01427.x
Cruz, M. C., Fox, D. S., and Heitman, J. (2001). Calcineurin is required for hyphal elongation during mating and haploid fruiting in Cryptococcus neoformans. EMBO J. 20, 1020–1032. doi: 10.1093/emboj/20.5.1020
Haynes, B. C., Skowyra, M. L., Spencer, S. J., Gish, S. R., Williams, M., Held, E. P., et al. (2011). Toward an integrated model of capsule regulation in Cryptococcus neoformans. PLoS Pathog. 7:e1002411. doi: 10.1371/journal.ppat.1002411
Howitz, K. T., Bitterman, K. J., Cohen, H. Y., Lamming, D. W., Lavu, S., Wood, J. G., et al. (2003). Small molecule activators of sirtuins extend Saccharomyces cerevisiae lifespan. Nature 425, 191–196. doi: 10.1038/nature01960
Huffnagle, G. B., Yates, J. L., and Lipscomb, M. F. (1991). T cell-mediated immunity in the lung: a Cryptococcus neoformans pulmonary infection model using SCID and athymic nude mice. Infect. Immun. 59, 1423–1433.
Jain, N., Cook, E., Xess, I., Hasan, F., Fries, D., and Fries, B. C. (2009a). Isolation and characterization of senescent Cryptococcus neoformans and implications for phenotypic switching and pathogenesis in chronic cryptococcosis. Eukaryot. Cell 8, 858–866. doi: 10.1128/EC.00017-09
Jain, N., Li, L., Hsueh, Y. P., Guerrero, A., Heitman, J., Goldman, D. L., et al. (2009b). Loss of allergen 1 confers a hypervirulent phenotype that resembles mucoid switch variants of Cryptococcus neoformans. Infect. Immun. 77, 128–140. doi: 10.1128/IAI.01079-08
Kaeberlein, M., McVey, M., and Guarente, L. (1999). The SIR2/3/4 complex and SIR2 alone promote longevity in Saccharomyces cerevisiae by two different mechanisms. Genes Dev. 13, 2570–2580. doi: 10.1101/gad.13.19.2570
Kaeberlein, M., Powers, R. W. III, Steffen, K. K., Westman, E. A., Hu, D., Dang, N., et al. (2005). Regulation of yeast replicative life span by TOR and Sch9 in response to nutrients. Science 310, 1193–1196. doi: 10.1126/science.1115535
Kronstad, J., Saikia, S., Nielson, E. D., Kretschmer, M., Jung, W., Hu, G., et al. (2012). Adaptation of Cryptococcus neoformans to mammalian hosts: integrated regulation of metabolism and virulence. Eukaryot. Cell 11, 109–118. doi: 10.1128/EC.05273-11
Landry, J., Sutton, A., Tafrov, S. T., Heller, R. C., Stebbins, J., Pillus, L., et al. (2000). The silencing protein SIR2 and its homologs are NAD-dependent protein deacetylases. Proc. Natl. Acad. Sci. U.S.A. 97, 5807–5811. doi: 10.1073/pnas.110148297
Lin, S. J., Defossez, P. A., and Guarente, L. (2000). Requirement of NAD and SIR2 for life-span extension by calorie restriction in Saccharomyces cerevisiae. Science 289, 2126–2128. doi: 10.1126/science.289.5487.2126
Lin, S. J., Kaeberlein, M., Andalis, A. A., Sturtz, L. A., Defossez, P. A., Culotta, V. C., et al. (2002). Calorie restriction extends Saccharomyces cerevisiae lifespan by increasing respiration. Nature 418, 344–348. doi: 10.1038/nature00829
Managbanag, J. R., Witten, T. M., Bonchev, D., Fox, L. A., Tsuchiya, M., Kennedy, B. K., et al. (2008). Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity. PLoS ONE 3:e3802. doi: 10.1371/journal.pone.0003802
McClure, J. M., Wierman, M. B., Maqani, N., and Smith, J. S. (2012). Isonicotinamide enhances Sir2 protein-mediated silencing and longevity in yeast by raising intracellular NAD+ concentration. J. Biol. Chem. 287, 20957–20966. doi: 10.1074/jbc.M112.367524
Milne, J. C., Lambert, P. D., Schenk, S., Carney, D. P., Smith, J. J., Gagne, D. J., et al. (2007). Small molecule activators of SIRT1 as therapeutics for the treatment of type 2 diabetes. Nature 450, 712–716. doi: 10.1038/nature06261
Nayagam, V. M., Wang, X., Tan, Y. C., Poulsen, A., Goh, K. C., Ng, T., et al. (2006). SIRT1 modulating compounds from high-throughput screening as anti-inflammatory and insulin-sensitizing agents. J. Biomol. Screen. 11, 959–967. doi: 10.1177/1087057106294710
Park, B. J., Wannemuehler, K. A., Marston, B. J., Govender, N., Pappas, P. G., and Chiller, T. M. (2009). Estimation of the current global burden of cryptococcal meningitis among persons living with HIV/AIDS. AIDS 23, 525–530. doi: 10.1097/QAD.0b013e328322ffac
Roux, A. E., Chartrand, P., Ferbeyre, G., and Rokeach, L. A. (2010). Fission yeast and other yeasts as emergent models to unravel cellular aging in eukaryotes. J. Gerontol. A Biol. Sci. Med. Sci. 65, 1–8. doi: 10.1093/gerona/glp152
Sabiiti, W., Robertson, E., Beale, M. A., Johnston, S. A., Brouwer, A. E., Loyse, A., et al. (2014). Efficient phagocytosis and laccase activity affect the outcome of HIV-associated cryptococcosis. J. Clin. Invest. 124, 2000–2008. doi: 10.1172/JCI72950
Wang, P., Cox, G. M., and Heitman, J. (2004). A Sch9 protein kinase homologue controlling virulence independently of the cAMP pathway in Cryptococcus neoformans. Curr. Genet. 46, 247–255. doi: 10.1007/s00294-004-0529-1
Waugh, M. S., Nichols, C. B., DeCesare, C. M., Cox, G. M., Heitman, J., and Alspaugh, J. A. (2002). Ras1 and Ras2 contribute shared and unique roles in physiology and virulence of Cryptococcus neoformans. Microbiology 148(Pt. 1), 191–201. doi: 10.1099/00221287-148-1-191
Wood, J. G., Rogina, B., Lavu, S., Howitz, K., Helfand, S. L., Tatar, M., et al. (2004). Sirtuin activators mimic caloric restriction and delay ageing in metazoans. Nature 430, 686–689. doi: 10.1038/nature02789
Yang, J., Dungrawala, H., Hua, H., Manukyan, A., Abraham, L., Lane, W., et al. (2011). Cell size and growth rate are major determinants of replicative lifespan. Cell Cycle 10, 144–155. doi: 10.4161/cc.10.1.14455
Keywords: fungus, pathogen, aging, virulence, persistence, sirtuin
Citation: Bouklas T, Jain N and Fries BC (2017) Modulation of Replicative Lifespan in Cryptococcus neoformans: Implications for Virulence. Front. Microbiol. 8:98. doi: 10.3389/fmicb.2017.00098
Received: 12 October 2016; Accepted: 13 January 2017;
Published: 30 January 2017.
Edited by:Oscar Zaragoza, Instituto de Salud Carlos III, Spain
Reviewed by:Carlos Pelleschi Taborda, University of São Paulo, Brazil
Radames J. B. Cordero, Johns Hopkins University, USA
Copyright © 2017 Bouklas, Jain and Fries. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Bettina C. Fries, firstname.lastname@example.org