The interaction of Cryptococcus neoformans with phagocytic cells of the innate immune system is a key step in disseminated disease leading to meningoencephalitis in immunocompromised individuals. Transcriptional profiling of cryptococcal cells harvested from cell culture medium or from macrophages found differential expression of metabolic and other functions during fungal adaptation to the intracellular environment. We focused on the ACL1 gene for ATP-citrate lyase, which converts citrate to acetyl-CoA, because this gene showed elevated transcript levels in macrophages and because of the importance of acetyl-CoA as a central metabolite. Mutants lacking ACL1 showed delayed growth on medium containing glucose, reduced cellular levels of acetyl-CoA, defective production of virulence factors, increased susceptibility to the antifungal drug fluconazole and decreased survival within macrophages. Importantly, acl1 mutants were unable to cause disease in a murine inhalation model, a phenotype that was more extreme than other mutants with defects in acetyl-CoA production (e.g. an acetyl-CoA synthetase mutant). Loss of virulence is likely due to perturbation of critical physiological interconnections between virulence factor expression and metabolism in C. neoformans. Phylogenetic analysis and structural modelling of cryptococcal Acl1 identified three indels unique to fungal protein sequences; these differences may provide opportunities for the development of pathogen-specific inhibitors.
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The basidiomycete yeast Cryptococcus neoformans causes life-threatening pulmonary infections and meningoencephalitis in immunocompromised individuals, killing an estimated 600 000 people each year (Park et al., 2009). In fact, cryptococcosis is one of the most important HIV-related opportunistic infections, particularly in developing regions such as sub-Saharan Africa (Park et al., 2009). Infectious propagules (spores or dessicated yeast cells) initiate infection in the lung and the fungus must adapt to different nutritional and physical conditions in the host during dissemination to the brain. These conditions include the intracellular environment of phagocytic cells, and extracellular locations in the lung, bloodstream and central nervous system (Kronstad et al., 2011a). There is increasing evidence for an adaptive programme in C. neoformans that co-ordinates nutrient acquisition and the elaboration of virulence factors, as recently reviewed (Kronstad et al., 2011b). In particular, specific transcription factors co-ordinately regulate the expression of anti-phagocytic functions, the remodelling of central carbon metabolism, the expression of specific nutrient acquisition systems, the response to hypoxia, and elaboration of the three main virulence factors. These factors include the pigment melanin in the cell wall, a polysaccharide capsule and the ability to grow at body temperature (Kronstad et al., 2011b).
In the context of metabolic adaptation to the host, transcriptional profiling of cryptococcal cells during murine lung infection revealed elevated expression of genes involved in the glyoxylate pathway, gluconeogenesis, β-oxidation, amino acid biosynthesis and acetyl-CoA utilization and production. The expression pattern suggested that the fungus must metabolically adapt to a glucose-limited environment in the host (Hu et al., 2008). Factors that influence acetyl-CoA are of particular interest because of the central position of this metabolite in pathways for the utilization of glucose and other carbon sources (Fig. 1). In addition, the importance of acetate to the acetyl-CoA pathway during cryptococcosis is suggested by the moderate virulence defect of an acs1 deletion mutant lacking acetyl-CoA synthase in C. neoformans (Hu et al., 2008). Interestingly, metabolite profiling revealed that acetate is the most abundant metabolite found in cryptococcomas and cryptococcal cell supernatants; this substrate can quickly be metabolized to acetyl-CoA in glucose-depleted conditions (Himmelreich et al., 2003).
Very little is known about carbon source utilization during mammalian infection by C. neoformans. Differential expression of metabolic functions has been observed by transcriptional profiling of cryptococcal cells obtained from the cerebrospinal fluid (CSF) of rabbits (Steen et al., 2003). In a recent study, Price et al. (2011) found that mutants with defects in glycolytic functions such as pyruvate kinase and hexose kinase exhibited severe attenuation of virulence in a murine inhalation model as well as decreased persistence in rabbit CSF. In addition to serving as a carbon source, glucose is also known to repress melanin production, while capsule production is influenced by a wide variety of factors including carbon source availability (Kronstad et al., 2011b). Interestingly, C. neoformans mutants with defects in the glyoxylate pathway are not attenuated for virulence, although a pck1 mutant with a defect in gluconeogenesis has a virulence defect (Rude et al., 2002; Panepinto et al., 2005; Idnurm et al., 2007). Lipids may also be important carbon sources during infection because defects in peroxisomal and mitochondrial β-oxidation attenuate virulence (Kretschmer et al., 2012).
The pool of acetyl-CoA is important for a number of different cellular processes including histone and protein lysine acetylation, as well as a wide variety of biosynthetic reactions (Wellen et al., 2009; Wang et al., 2010). Three of the main pathways for generating cytosolic acetyl-CoA in eukaryotic cells are through β-oxidation of fatty acids, the conversion of acetate by acetyl-CoA synthetase (Acs1), and the oxidation of mitochondria-derived citrate by ATP-citrate lyase (Acl1) (Hynes and Murray, 2010; Vorapreeda et al., 2012). Acl1 catalyses the reaction, citrate + CoA + ATP → acetyl-CoA + oxaloacetate + ADP + Pi in the presence of magnesium ions (Sun et al., 2011). The recent work of Wellen et al. (2009) showed that Acl1 is required for histone acetylation in response to growth factor stimulation and during differentiation of mammalian cells, and that glucose availability can affect histone acetylation in an Acl-dependent manner. In light of the upregulation of transcripts for functions involved in the production and use of acetyl-CoA during cryptococcal infection, and the potential role of Acl1 to co-ordinate the transcriptional response to changes in metabolism with cellular differentiation, our goal was to understand the role of Acl1 in the metabolic adaptation of C. neoformans to the host environment, particularly in the context of the integration of metabolism and virulence factor expression. Here we report that loss of Acl1 results in a carbon source-dependent defect in elaboration of the polysaccharide capsule and the inability of the fungus to cause disease.
Serial analysis of gene expression during macrophage interaction
To investigate cryptococcal gene expression during an interaction with host immune cells, we generated SAGE libraries from fungal cells harvested after 6 h of incubation in either tissue culture medium (38 544 tags) or in co-culture with macrophages (23 904 tags). A comparison of the two libraries identified differential expression of tags representing transcripts for a variety of cellular processes including heat shock and stress response, protein biosynthesis, transport, vesicle trafficking, respiration, growth, nucleotide metabolism and processing, chromatin structure, RNA interference, cell cycle and cytokinesis, as well as carbohydrate and lipid metabolism (Table S1). The wide variety of affected pathways suggests extensive transcriptional adaptation of the pathogen in response to the intracellular environment of macrophages. A similar pattern of cryptococcal gene expression in response to phagocytosis was observed by Fan et al. (2005). Seventeen genes that were found to be upregulated in the SAGE data were validated by qRT-PCR and nine of these were found to be upregulated by at least twofold, indicating a > 50% true positive hit rate from the screen (Fig. S1). Notably, transcripts were elevated for functions in central carbon and lipid metabolism, and amino acid synthesis, as previously observed in SAGE studies of expression changes during pulmonary challenge (Table 1; Hu et al., 2008). In particular, tags for genes encoding functions for acetyl-CoA production and use were upregulated and these included ATP-citrate lyase (13×), alcohol dehydrogenase (6×), long-chain fatty acid CoA ligase (4×), homocitrate synthase (7×) and the multifunctional enzyme Mfe2 for peroxisomal β-oxidation (3×); the ACL1 and MFE2 genes were among those validated by qRT-PCR. The SAGE data for the subset of genes related to metabolism are presented in Table 1, and the position of acetyl-CoA in central carbon metabolism is summarized in Fig. 1. In light of the importance of acetyl-CoA in carbon metabolism and biosynthesis, the 13-fold higher number of tags for the gene encoding ATP-citrate lyase (ACL1) during the interaction with macrophages prompted a more detailed analysis of the contribution of this change to virulence.
Table 1. Upregulated SAGE tags encoding predicted functions in carbohydrate, lipid and amino acid metabolism
C. neoformans H99 gene number
Predicted function and gene name
Tags are listed by abundance based on the macrophage co-culture library and show higher levels than the DMEM growth control.
Alcohol dehydrogenase, ADH1
ATP-citrate lyase, ACL1
Glycogen phosphorylase-like protein
Dienelactone hydrolase family
Sterol-binding protein, MFE2
Long-chain fatty acid CoA ligase
Amino acid metabolism
NAD-specific glutamate dehydrogenase
Growth on different carbon sources is affected by loss of Acl1
Initially, three independent acl1 deletion mutants were constructed by overlap PCR and biolistic transformation in the α mating type background to study the phenotypic consequences of perturbation of acetyl-CoA production via glycolysis and citrate formation. All genotypes were confirmed by PCR screening and genomic hybridization (Fig. S2). We first examined the wild-type and mutant strains for growth on different carbon sources and found that acl1 cells had a growth defect on 2% and 0.2% glucose (Fig. 2A). In contrast, the mutants grew as well as wild type on acetate or ethanol/glycerol, thus indicating that the glucose to acetyl-CoA pathway in this mutant was perturbed while the acetate to acetyl-CoA pathway (through Acs1) remained functional (Fig. 2A). A more detailed examination of the growth kinetics of the acl1 mutants in glucose revealed an increased lag phase prior to exponential growth compared to wild-type cells; however, the acl1 cells eventually reached cell densities that were comparable to wild type (Fig. 2B). The growth kinetics of the mutants in acetate mirrored those of the wild-type strain (Fig. 2C). Overall, these results indicated that Acl1 is important for growth on glucose as a carbon source and that low levels of glucose support growth, perhaps due to some production of acetyl-CoA via pyruvate, fatty acids, acetaldehyde and acetate. To more closely represent the low nutrient intracellular environment of the host, further experiments were carried out with 0.2% glucose.
We next performed spot assays in the presence of 0.2% glucose and 0.2% acetate to compare the influence of agents that provoke nitrosative, oxidative or cell-wall stress on the growth of wild-type versus mutant cells. Cells spotted on glucose-containing media were grown until the mutants reached wild-type levels of growth on Yeast Nitrogen Base (YNB) plates so that carbon source growth defects could be distinguished from stress responses. No differences between wild-type and mutant cells were observed in response to nitrosative or oxidative stress on either carbon source (data not shown); however, a pronounced growth defect in acl1 mutants was observed on congo red medium in the presence of glucose (Fig. 2D). Wild-type levels of growth were restored for the mutants on congo red medium with acetate as the carbon source (Fig. 2D). A subtle growth defect was also observed on caffeine, a general cell-wall stress agent, in the presence of glucose; this defect was also repaired in the presence of acetate. Growth in the presence of calcofluor white to challenge cell wall integrity did not reveal differences between wild-type and mutant cells regardless of carbon source. The growth defect on congo red in the presence of glucose but not acetate suggests that loss of Acl1 affects glucan moieties in the cell wall, whereas chitin, the cellular target of calcofluor white, appears to be unaffected.
Loss of ACL1 influences virulence factor production
The loss of ACL1 resulted in a pronounced capsule defect in that no cell-associated capsule could be visualized by India ink staining and Differential Interference Contrast (DIC) microscopy after 24 h growth in low-iron medium (LIM, which contains 0.5% glucose) (Fig. 3A). Capsule was not detected in any of the three deletion mutants. In mammalian cells, the consequences of an Acl1 defect on histone and protein lysine acetylation under glucose-replete conditions can be rescued by the addition of acetate (Wellen et al., 2009). We therefore replaced glucose with 0.5% acetate in LIM and found that capsule formation was restored in the mutants. This result suggests that there is a critical threshold of acetyl-CoA required for normal capsule production, which cannot be met in the absence of Acl1 when glucose is the primary carbon source. The production of capsule was also examined after prolonged incubation of stationary-phase cells and the acl1 mutants were never observed to produce a cell-associated capsule.
O-acetylated residues on the C. neoformans capsule polysaccharide (GXM) are immunodominant epitopes recognized by mono- and polyclonal antibodies. Previously, Alexa-555-conjugated antibodies were used to demonstrate that the sites of O-acetylated capsule overlapped with C3 complement deposition, and that the antibody produced a bright, punctuate or negative binding pattern depending on the capsule induction conditions and the age of the cells (Gates-Hollingsworth and Kozel, 2009). We therefore examined the O-acetylation of capsule on mutant and wild-type cells by fluorescence microscopy. Specifically, the binding patterns of Alexa-555-conjugated O-acetyl-specific capsule antibody 1326 (Gates-Hollingsworth and Kozel, 2009) were characterized in the wild-type strain and the acl1 mutants. We also constructed a cas1 knockout mutant to use as a control because Cas1 functions in capsule acetylation in C. neoformans (Janbon et al., 2001; Kozel et al., 2003). Cells were grown in LIM with either 0.5% glucose or 0.5% acetate as a carbon source, formaldehyde-killed and labelled before examination by fluorescence microscopy. Mutant cas1 cells showed a negative binding pattern regardless of carbon source as expected (data not shown). Wild-type cells showed bright exterior labelling of parental and daughter cells, regardless of the carbon source used for induction. Cells with the acl1 deletion grown under glucose conditions showed a thin layer of capsule binding, as expected for overall reduced capsule production, but generally did not show the punctate pattern. This fluorescence indicates that there is sufficient acetyl-CoA still produced in the cell for the acetylation of capsule, even in the absence of Acl1 (data not shown).
The loss of Acl1 also resulted in a defect in melanin formation that was detectable after 48 h of growth on l-3,4-dihydroxyphenylalanine (L-DOPA) medium containing glucose, compared to wild-type cells (Fig. 3B). Mutant cells began to accumulate pigment after 48 h but never achieved wild-type levels of melanin, nor did they achieve wild-type levels of growth on L-DOPA medium. Such a significant delay in melanin production with glucose as the primary carbon source might cause the mutants to be more susceptible to host defence mechanisms such as oxidative killing, although we did not observe this phenotype in our assays. Melanin formation and growth were fully restored in the mutants when acetate was used as the carbon source in the L-DOPA media (Fig. 3B).
Loss of Acl1 attenuates virulence
The defects in virulence factor production and growth on glucose for the acl1 mutants suggested that Acl1 would be important for virulence in a mouse inhalation model of cryptococcosis. We tested this prediction by inoculating 10 female BALB/c mice intranasally with cells of the wild-type strain or the acl1 mutants. All mice infected with the wild-type cells died between days 18 and 21, while mice infected with the mutants survived for the duration of the experiment (asymptomatic and sacrificed on day 50) (Fig. 4A). These results indicated that loss of Acl1 in C. neoformans renders the cells avirulent. Fungal burden analysis revealed substantially higher levels of wild-type cells in both the lungs (8 log10 CFU g−1) and brain (4 log10 CFU g−1), compared to acl1 cells, which could only be isolated at very low levels from the lungs of infected mice (< 1 log10 CFU g−1) (Fig. 4B). In particular, it was notable that no cells were cultured from brain tissue of mice infected with the acl1 mutants. The complete absence of acl1 mutants in the brain may implicate ACL1 in dissemination to other organs after infection. However, it is likely that this result mainly reflects poor proliferation or survival in the lung, as well as the influence of the observed defects in other virulence factors.
Cryptococcal uptake and survival in macrophages is decreased in the absence of Acl1
Stimulated J774.1 macrophage-like cells were incubated with cryptococcal cells at a multiplicity of infection (MOI) of 1:1 for 1 and 24 h periods to determine intracellular fungal uptake and survival. Survival and replication within macrophages was calculated as the ratio of CFU ml−1 obtained from macrophage lysis after 24 h incubation compared to CFUs obtained after 1 h incubation. All three independent mutants exhibited impaired intracellular survival rates compared to wild type, and CFUs obtained after 24 h were between 30% and 60% of cellular uptake values (Fig. 5A). Wild-type cells, however, exhibited efficient replication and survival (180% of uptake values). These results are consistent with the inability of the acl1 mutants to persist in lung tissue and to cause disease. Mutant cells, while differing in survival ability, were taken up into macrophages at a similar rate compared to the wild-type strain (Fig. 5B).
The metabolic source of acetyl-CoA alters drug susceptibility
With the exception of growth on glucose, the phenotypes examined above do not result in an obvious direct way from a defect in acetyl-CoA production. We therefore examined growth in the presence of an azole antifungal drug based on the reasoning that an acl1 mutant may exhibit increased susceptibility because acetyl-CoA is critical for ergosterol biosynthesis. Fluconazole is a widely prescribed antifungal drug that acts by inhibiting lanosterol 14-demethylase (the product of the ERG11 gene), an essential cytochrome P450 enzyme in the ergosterol pathway (Revankar et al., 2004). The minimal inhibitory concentration (MIC) of fluconazole was determined for the acl1 mutants and the wild-type strain using the broth dilution method. The acl1 mutants were found to be fourfold more susceptible to fluconazole than the wild-type strain (Table 2). In addition to the acl1 mutants, we also tested two other metabolic mutants predicted to have defects in acetyl-CoA production. These included a mutant in the MFE2 gene that encodes the multifunctional enzyme for the second and third steps in the oxidation of fatty acids in the peroxisome. MFE2 was also found as a differentially expressed tag in the macrophage SAGE dataset (Table 1) and a defect in this gene attenuates virulence (Kretschmer et al., 2012). We also tested the acs1 mutant with a defect in the enzyme acetyl-CoA synthetase that converts acetate to acetyl-CoA in the cytosol (Hu et al., 2008). While the acs1 deletion mutant shared the same MIC as the wild-type strain, the mfe2 mutant also exhibited increased susceptibility to fluconazole (Table 2). This difference in drug susceptibility suggests that perturbation of the acetate to acetyl-CoA pathway does not affect the cell's ability to overcome sterol inhibition by fluconazole, while disruption of the glucose to acetyl-CoA or β-oxidation pathways increases fluconazole susceptibility through altered sterol biosynthesis. It is possible that there is redundancy due to other acetyl-CoA synthetase paralogues that function in the acetyl-CoA synthetase (ACS) pathway and this may buffer the effects of fluconazole stress on the cell; however, the growth defect observed for the acs1 mutant on acetate would argue against this possibility (Hu et al., 2008).
Table 2. Minimal inhibitory concentration of fluconazole of wild type and different metabolic mutants in C. neoformans H99, as determined by the broth dilution method
YPD (μg ml−1)
YNB (μg ml−1)
Determinations were made after 48 h at 30°C and confirmed after 5 days growth under the same conditions. Time-kill MIC determinations were made using the higher inoculums required for the assays.
Wild type H99
Time-kill experiments were also performed with a standard concentration of mutant cells and increasing concentrations of fluconazole to determine whether the fungistatic growth inhibition by fluconazole was converted to a lethal effect by the acl1 deletion, thus causing the reduced MICs. A > 3 log10 (99.9% killing) reduction in CFU ml−1 after a 48 h exposure to a given concentration of fluconazole was defined as a fungicidal chemical genetic interaction. Time-kill experiments require a higher inoculum than that used in standard MIC determinations; thus time-kill MIC values were determined to account for this increase in cell density (Table 2). Inocula of each strain were incubated with time-kill MIC and 1/4 MIC (growth control) concentrations of fluconazole for 48 h and dilutions of each preparation were spotted on Yeast Extract Peptone Dextrose (YPD) plates and grown for a further 48 h at which time cells were counted. Time-kill MIC levels of fluconazole failed to reduce mutant growth to fungicidal levels and we therefore conclude that loss of ACL1 did not convert fluconazole growth inhibition to lethality in acl1 mutants.
Because azole drug susceptibility was affected by the loss of ACL1, we reasoned that the acl1 mutants likely produced lower levels of acetyl-CoA. To test this hypothesis, mutant and wild-type cells were grown to mid-exponential phase in 0.2% glucose-supplemented YNB, and the acetyl-CoA levels in cell lysates were quantified. We found that acl1 mutants contained 20–50% of the acetyl-CoA levels found in wild-type cells (Fig. 6). The acl1Δ mutants therefore have less available acetyl-CoA for biosynthetic processes, and other pathways were not able to fully compensate for loss of Acl1.
Hydroxycitrate is a known inhibitor of mammalian Acl1 (Szutowicz et al., 1976) and we therefore attempted to mimic the gene deletion effects observed in the acl1 mutant by chemical inhibition with hydroxycitrate. Even at the highest concentrations tested (> 500 μg ml−1), no reduction in capsule production or growth inhibition was observed. The failure of this small molecule to inhibit Cryptococcus could be due to cellular impermeability, perhaps due to the polysaccharide capsule or cell wall (which are not present in mammalian cells) or the lack of peripheral citrate transporters.
Loss of Acl1 influences the expression of LAC1, but not capsule genes
In light of the phenotypes of the acl1 mutants, we examined the expression levels of different acetyl-CoA metabolism genes (ACS1, MFE2, ACL1), as well as virulence genes involved in capsule formation (CAP60, CAP10, CAS1) and melanin production (LAC1). For this analysis, gene expression was examined by qRT-PCR for cells of the three acl1 mutants and the wild-type strain grown to mid-exponential phase in YNB with 0.2% glucose as carbon source. ACL1 transcripts were reduced 60-fold in the acl1 mutants compared to wild type, as expected in the knockout control (data not shown), but expression levels for ACS1 and MFE2 remained constant in all strains regardless of deletion of the ACL1 gene (Fig. 7A). Genes involved in capsule formation all exhibited wild-type levels of expression (Fig. 7A), but the striking finding was that LAC1 encoding the predominant laccase for melanin production was downregulated 5–25 fold in each of the three independent mutants (Fig. 7B). This downregulation of LAC1 expression is consistent with the observed decrease in melanin production in the acl1 mutants, and it may reflect the impact of perturbed central carbon metabolism on the regulatory circuit that controls melanin formation. In particular, glucose is known to suppress melanin formation (Zhu and Williamson, 2004).
Although the acl1 mutants exhibit a capsule defect, genes involved in capsule formation were not differentially expressed suggesting that capsule components, while still synthesized at wild-type levels, may be altered in assembly, secretion or attachment to the cell surface. It is possible that the culture conditions used for RNA preparation were not optimal for capsule gene expression resulting in similar transcript levels between mutants and wild type. However, the increased mutant sensitivity to congo red suggested that the loss of ACL1 may impair the glucan component of the cell wall, which is known to anchor the capsule. Preliminary transcriptome analysis of the acl1 mutant suggested that genes for certain glucan synthases are downregulated in the absence of ACL1 (E. Griffiths, in preparation). qPCR of different glucan synthases showed that while α-glucan synthase (AGS1) is slightly upregulated in the mutants, the genes for β-glucan synthesis-associated proteins (SKN1, CNAG_06031; KRE62; CNAG_06832) are downregulated two to fourfold (Fig. 7B). Previously, deletion of glucan synthases in C. neoformans has been shown to result in mutants that were avirulent, slow growing and defective in capsule attachment although they continue to shed capsule into the environment (Reese et al., 2007). Therefore, a capsule blot was performed to determine the quantity of polysaccharide shed into the extracellular medium by the acl1 mutants and wild-type strain. While a small quantity of capsule is shed by wild type, acl1 mutants shed much more capsule, consistent with a capsule attachment defect (Fig. 7C).
Phylogenic analysis, identification of fungal-specific indels and structural modelling of Acl1
While Acl1 orthologues in basidiomycete fungi and animals are encoded by a single gene, those of the ascomycetes, plants and a small subset of bacteria are encoded by two genes. It has been suggested that the single ACL1 genes in basidiomycetes and animals originally arose from two genes as the result of ancient gene fusion event (Hynes and Murray, 2010). Despite sharing 54% sequence identity to the human Acl1 protein orthologue, and the similarity in genomic structure of cryptococcal ACL1 to animal sequences, the basidiomycete orthologue appears to be most closely related to Acl1 sequences in other fungi. While the prevalence of ACL1 appears to be widespread (Fig. 8), it is notably absent from the Saccharomyces and Candida genomes (Vorapreeda et al., 2012).
The X-ray crystal structure is available for the human orthologue of Acl1 (Sun et al., 2010; 2011), and we therefore aligned the C. neoformans H99 sequence with that of the human enzyme to compare the positions of key residues. This analysis indicated that the catalytic His760 for autophosphorylation during intermediate formation and the residues of the ATP- and citrate-binding pockets are conserved in the C. neoformans enzyme. In mammalian cells, Acl1 is known to be hierarchically regulated through phosphorylation by cAMP-dependent protein kinase (PKA) (Pierce et al., 1981) and GSK-3, as well as transcriptionally controlled by the sterol regulatory element-binding protein (SREBP) (Sato et al., 2000; Kim et al., 2010). The regulatory Ser455 for PKA phosphorylation was also conserved; however, the Thr445 and Ser451 required for GSK-3 activation were not present, suggesting regulatory differences for the Cryptococcus enzyme.
Three fungal-specific indels were identified in the global alignments of Acl1 proteins, and these consisted of insertions of six, 15 and 21 amino acids found in almost all fungal Acl1 sequences, but absent in organisms from all other phyla (Figs 9-11). While the crystal structure of Acl1 is available for the human enzyme, no structural information is known for Acl1 in C. neoformans. A 3D model of the C. neoformans Acl1 protein was estimated using the online structure assembly tool I-TASSER and the structural restraints from the human structure PDB file (3pff) (Fig. 12). Indel alignments were overlaid with secondary structure motifs determined from the C. neoformans Acl1 model. All indels were composed of random coil structures positioned between helices and β-strands. The six-amino acid insertion was of particular interest because it was found between residues Asn203/Pro204 and Asp216 in the corresponding region of the human enzyme; these residues are thought to bind phosphate or co-ordinate Mg2+ in the ATP binding pocket. The 21-amino acid insertion is also of interest because it is possible that this region may be able to enter the catalytic cleft (Fig. 12). Molecular dynamics simulations would be required to investigate these properties further. Overall, these sequence changes appear to produce structural alterations between the human and fungal orthologues that may result in functional differences for potential inhibitor development.
In this study, we examined the prediction that Acl1 plays an important role in metabolic remodelling during growth in mammalian hosts because elevated ACL1 transcript levels were identified in a SAGE analysis of C. neoformans cells after their uptake by macrophages. The SAGE analysis revealed many commonalities between the transcripts regulated by interactions of C. neoformans with macrophages in vitro, and our previous SAGE data obtained from cells during murine pulmonary challenge (Hu et al., 2008). In both studies, tags for genes involved in central carbon metabolism, lipid and amino acid synthesis transcripts were elevated, although there were some differences between the studies with regard to specific genes. Some similarities in datasets were also observed between the SAGE analysis and a microarray transcriptome analysis of cryptococcal cells interacting with macrophages (Fan et al., 2005). For example, genes encoding functions for amino acid and phosphate transport, fatty acid and lipid metabolism, translational machinery, and histone and chromatin remodelling were observed in both studies, although the gene sets were not identical, most likely due to differences in experimental methods. Notably, the altered levels of the ACL1 transcript observed in our current SAGE were not detected in either of the previous in vivo expression studies (Hu et al., 2008).
We observed a complete attenuation of virulence for the acl1 mutants and this likely due to multiple defects including slower growth in nutrient-limited environments, reduced uptake and survival within macrophages, reduced production of melanin, and limited elaboration of the anti-phagocytic capsule at the cell surface. Studies of acapsular mutants reveal that capsule is one of the most important virulence factors for infection and dissemination of C. neoformans to the brain (Moyrand et al., 2002; 2007; 2008; Wilder et al., 2002; Griffiths et al., 2012). Our studies indicate that the loss of capsule in acl1 mutants may not be due to altered gene expression (based on our analysis of a limited number of CAP genes), nor to altered O-acetylation due to reduced cellular acetyl-CoA levels. Increased sensitivity to congo red in the presence of glucose suggests that insufficient levels of acetyl-CoA caused by deletion of ACL1 alter glucan levels or the composition in the cell wall. This in turn would result in defective capsule attachment and capsule shedding, as we observed. It is possible that the loss of Acl1, which uses citrate from the tricarboxylic acid cycle as a substrate, may result in the accumulation of intermediates that interfere with the biosynthesis of glucan from glucose. Reese and Doering (2003) identified α-1,3-glucan as a component of the cell wall required for capsule anchoring, and silencing of α-1,3-glucan synthase expression by RNAi produced slow-growing, acapsular cells that were unable to assemble a capsule although they generated polysaccharide components. Furthermore, in a study by Rachini et al. (2007) acapsular fungal cells, but not encapsulated cryptococcal cells, were opsonized by anti-β-glucan monoclonal antibodies and more efficiently phagocytosed and killed by human monocytes and murine peritoneal macrophages. Changes in capsule deposition alter cell ultrastructure and availability of cell surface molecules in ways which may modify interactions with host cells and tissues during infection; this may help explain the reduced survival of acl1 mutants within macrophages observed in our work.
For C. neoformans, the increased susceptibility to fluconazole for an acl1 mutant is likely due to perturbed sterol and lipid synthesis arising from reduced levels of acetyl-CoA, as demonstrated by our quantification of acetyl-CoA. Altered lipid composition might also affect vesicular transport as well as the synthesis of other molecules that are dependent on acetyl-CoA. In Pseudomonas aeruginosa, deletion of aceA, one of the structural subunits of pyruvate dehydrogenase which produces acetyl-CoA from pyruvate, results in downregulation of type III secretion genes suggesting that acetyl-CoA plays a role in secretion of pathogenic effectors (Rietsch and Mekalanos, 2006). In yeast, sterols and sphingolipids are enriched at the trans-Golgi network from where they are sorted via Golgi-derived vesicles to the plasma membrane (Schrick et al., 2012). Sterols and sphingolipid-enriched membrane rafts are associated with specific classes of proteins which play roles in many biological processes such as cell polarity, protein trafficking and signal transduction (Klemm et al., 2009; Surma et al., 2011; Mousley et al., 2012; Schrick et al., 2012). A trafficking defect could also potentially account for the reduced size of the polysaccharide capsule in the acl1 mutant and we note that depleted acetyl-CoA stores might also affect the acetylation of the capsule. Fluorescence microscopy with antibodies specific for O-acetylated GXM epitopes indicated that while the smaller acl1 mutant capsules did not appear to be acetylated differently compared to wild type, there was less antibody binding overall raising the possibility of altered antigenicity. The importance of capsule acetylation has been clearly demonstrated in de-O-acetylation studies, achieved either by deletion of the capsule O-transacetylase (CAS1) or by chemical depletion, which resulted in cells with reduced capsules as well as altered antibody binding, complement activation and tissue accumulation (Janbon et al., 2001; Kozel et al., 2003). It seems likely therefore that defective capsule and cellular structures would contribute to the growth defects observed in acl1 mutants of C. neoformans, as well as complete avirulence in a mouse model.
In addition to insufficient acetyl-CoA levels for metabolic processes, the pleiotropic phenotypes of an acl1 mutant may also be due to alterations in both protein lysine activation and histone modification. The latter defects are known consequences of altering cellular acetyl-CoA concentrations, and acetylation alters gene expression by directly influencing chromatin structure, and by acting as a molecular tag for the recruitment of chromatin-modifying complexes. For example, Wellen et al. (2009) showed that Acl1-derived acetyl-CoA is used by histone acetyltransferases (HATS) for histone acetylation in mammalian cells, thus linking metabolism to the regulation of gene expression. Son et al. (2011) also recently demonstrated that histone H4 in the ascomycete Gibberella zeae is differentially acetylated in acl1(aclA) acl2(aclB) mutants compared to wild-type cells. Also, loss of some HATS (such as Gcn5 which partially acetylates the amino-terminal tails of histone H3 at repressed promoters) results in a number of phenotypes similar to the acl1 mutant in C. neoformans (O'Meara et al., 2010a). That is, the gcn5 mutant exhibited capsule defects and avirulence in a murine model of cryptococcosis (O'Meara et al., 2010a). Furthermore, deletion of ADA2, which encodes a component of transcriptional regulator SAGA (Spt-Ada-GCN5) complex, was found to be a novel regulator of capsule and virulence in C. neoformans (Haynes et al., 2011). In addition to the phenotypes observed in our work, Nowrousian et al. (1999) demonstrated the importance of ACL activity to the life cycle of Sordaria macrospora in which ACL was expressed at the beginning of the sexual cycle and was required for the initial stages of sexual development and the maturation of fruiting bodies. Defects in sexual development have also been reported for ATP-citrate lyase mutants in G. zeae and Aspergillus nidulans by Son et al. (2011) and Hynes and Murray (2010) respectively. A lower acetyl-CoA concentration may also affect the activation of a number of metabolic processes as it has been reported that up to 90% of central metabolism enzymes are regulated by acetylation (Wang et al., 2010). In light of the central importance of cytosolic acetyl-CoA for so many different pathways, it is likely that ACL1 participates in the elaboration of virulence factors through complex metabolic and gene regulation networks. Our ongoing work includes transcriptome changes in the absence of ACL1.
Our study also indicates that alternative pathways to produce acetyl-CoA make different contributions to virulence. Three of the main pathways for producing cytosolic acetyl-CoA in eukaryotic cells are through β-oxidation of fatty acids (e.g. involving the multifunctional enzyme Mfe2), from acetate through the action of acetate synthetase (Acs1), and from citrate through the action of Acl1. Genes from these three pathways were upregulated in SAGE studies of C. neoformans cells interacting with macrophages or during infection, indicating that the production of acetyl-CoA is important for adaptation of C. neoformans to the host environment. Deletion of ACL1 completely attenuated virulence, while the mfe2 and acs1 mutants exhibited reduced virulence to differing degrees (Hu et al., 2008; Kretschmer et al., 2012). The similarity of phenotypes obtained for the acl1 and mfe2 mutant strains suggests that the citrate to acetyl-CoA and β-oxidation pathways play key roles in metabolism during infection and to a greater extent than Acs1. As previously noted, ACL1 homologues are absent in species such as Saccharomyces cerevisiae and Candida albicans. Comparative genomic analysis has identified a number of different cytosolic enzymes in these organisms through which the biosynthesis of acetyl-CoA could be achieved such as pyruvate kinase, pyruvate dehydrogenase, malic enzyme, lactate dehydrogenase and acetyl-CoA synthetase, which are also found in C. neoformans (Vorapreeda et al., 2012).
Our transcriptional analysis identified Acl1 as a potentially important factor in the interaction of C. neoformans with macrophages. The loss of this enzyme results in a number of phenotypes, including increased antifungal drug susceptibility and, importantly, complete loss of virulence. These results therefore suggest that Acl1 may be an important target for novel antifungal strategies. In spite of the high level of homology between human and C. neoformans protein orthologues, which enabled structural modelling of C. neoformans Acl1, we were able to identify three fungal-specific indels in the cryptococcal Acl1 sequence. These insertions in fungal Acl1 sequences form additional random coils between more complex regions of secondary structure in which the amino acids are buried within the protein, whereas the indel regions were often exposed and may form surface protein loops for protein–protein interactions. Moreover, the six-amino acid insertion we identified is positioned between residues known to form the ATP binding pocket required for catalysis. Although it is not clear at present how these indels are positioned compared to the catalytic histidine residue of the active site, other such insertions have been reported to cause changes in protein structure resulting in differences in enzyme kinetics, specificity and/or regulation (Artsimovitch et al., 2003; Cherkasov et al., 2006; Diner and Hayes, 2009; Wood et al., 2009; Takahata et al., 2010). It is possible that such an insertion in fungal Acl1 sequences may lead to phyla-specific biochemical/physiological changes. Leveraging structure-function differences between human and fungal enzymes may lead to the discovery of small molecules capable of specifically inhibiting fungal Acl1.
Strains, plasmids and media
The serotype A strain H99 (C. neoformans var. grubii) was used along with the C. neoformans H99 mutant strains mfe2 and acs1 (Hu et al., 2008; Kretschmer et al., 2012). The strains were maintained on YPD medium (1% yeast extract, 2% peptone, 2% dextrose and 2% agar). Selectable markers for the transformation of C. neoformans were from plasmids pCH233 (nourseothricin resistance, 100 μg ml−1) and pJAF1 (neomycin resistance, 200 μg ml−1). LIM was composed of 0.5% glucose or acetate, 38 mM L-asparagine, 2.3 mM K2HPO4, 1.7 mM CaCl2·2H2O, 0.3 mM MgSO4·7H2O, 20 mM HEPES, 22 mM NaHCO3 plus 1 ml l−1 1000× salt solution (0.005 g l−1 CuSO4·5H2O, 2 g l−1 ZnSO4·7H2O, 0.01 g l−1 MnCl3·4H2O, 0.46 g l−1 sodium molybdate, 0.057 g l−1 boric acid in 1 l of iron-chelated H2O). The solution was iron-chelated (BIORAD chelex-100), the pH was adjusted to 7.4, and autoclaved. Finally, 0.4 mg l−1 thiamine was added. L-DOPA medium contained 7.6 mM L-asparagine, 5.6 mM glucose, 22 mM KH2PO4, 0.5 mM L-DOPA and 20 g l−1 agar. The solution was autoclaved after the pH was adjusted to 5.6, and 1 mg l−1 thiamine and 5 μg l−1 biotin-HCl were added.
SAGE analysis of C. neoformans cells isolated from macrophages
The murine macrophage-like cell line J774A.1 was maintained at 37°C in 10% CO2 in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% heat-inactivated fetal calf serum, 1% non-essential amino acids, 100 μg ml−1 penicillin-streptomycin and 4 mM L-glutamine (Invitrogen). Cryptococcus cells were opsonized with monoclonal antibody 18B7 against capsule (1 μg ml−1), and macrophages were treated with recombinant mouse gamma interferon (IFN-gamma) (50 U ml−1) and lipopolysaccharide (0.3 μg ml−1) prior to co-incubation at a MOI of 1:1. Macrophages were inoculated with H99 cells and washed after 1 h of inoculation to remove unattached, extracellular fungal cells. After 6 h of incubation, sterile, ice-cold distilled H2O was applied to each well to lyse the macrophages, and the fungal cells (4 × 107) were harvested by centrifugation. H99 control cells were prepared by growth under the same condition but without macrophages, and 108 cells were harvested.
SAGE library construction, sequencing and analysis
SAGE library construction, sequencing and analysis were as previously described (Steen et al., 2002; 2003; Hu et al., 2007; 2008). Briefly, RNA was isolated from lyophilized cells by vortexing with glass beads (3.0 mm, acid-washed and RNase-free) for 15 min in 15 ml of TRIZOL extraction buffer (Invitrogen, Carlsbad, CA, USA). The mixture was incubated for 15 min at room temperature and total RNA was isolated according to the manufacturer's instructions. Total RNA was used directly for SAGE library construction as described by Velculescu et al. (1995) using the I-Long SAGE kit (Invitrogen). The tagging enzyme for cDNA digestion was NlaIII and 29 PCR cycles were performed to amplify the ditags during library construction. Colonies were screened by PCR (M13F and M13R primers) to assess the average clone insert size and the percentage of recombinants. Clones from the libraries were sequenced by BigDye primer cycle sequencing on an ABI PRISM 3700 DNA analyser. Sequence chromatograms were processed using PHRED (Ewing et al., 1998), and vector sequence was detected using Cross_match (Gordon et al., 1998). Fourteen-base-pair tags were extracted from the vector-clipped sequence, and an overall quality score for each tag was derived based on the cumulative PHRED score. Duplicate ditags and linker sequences were removed as described previously (Steen et al., 2002). Only tags with a predicted accuracy of 99% were used, and statistical differences between tag abundance in different libraries were determined as described (Audic and Claverie, 1997). The libraries yielded 38 544 tags from cells grown in media without macrophages for 6 h and 23 904 tags from cells grown in media with macrophages for 6 h. An overview of the abundance classes for both SAGE libraries is presented in Table S1, with both the number of different tag sequences and the total number of tags present in each class for the cells from the 6 h infection and the control. All libraries were normalized to 23 904 to allow direct comparisons, and the tags that appeared less than once in any given library were removed. The EST database available for strain H99 at the University of Oklahoma's Advanced Center for Genome Technology http://www.genome.ou.edu/cneo.html) was used for the preliminary assignment of tags to genes. When an EST sequence could not be identified for a particular tag, the genomic sequence for H99 at the Broad Institute (http://wwwbroadinstitute.org/annotation/genome/cryptococcus_neoformans/Multihome.html) was used to identify contigs with unambiguous tag assignments. Note that a limitation of the SAGE approach is that some transcripts are not detected because of low abundance and/or the absence of an NlaIII site for transcript processing. The control (fungal cells alone) and cryptococcal–macrophage interaction SAGE datasets were deposited to the NCBI under accession number GSM986206 and GSM986207 respectively.
Deletion of the ACL1 and CAS1 genes
An acl1::NAT deletion allele was constructed using a modified overlap PCR procedure (Davidson et al., 2002; Yu et al., 2004). The primers ACL1-1/ACL1-3 and ACL1-4/ACL1-6 were used with genomic DNA to obtain the left and right arms for the deletion construct (Table S2). The NAT selectable marker was amplified using primers ACL1-2/ACL1-5 and the plasmid pCH233. The ACL1:NAT allele results in the deletion of the complete open reading frame of ACL1 (4253 bp), CNAG_04640. The resulting PCR product (3.5 kb) was used to transform strain H99 by biolistic transformation (Davidson et al., 2000). Transformants were grown on YPD plates containing nourseothricin (100 μg ml−1) and screened by colony PCR with Extaq polymerase (Takara) using primer pairs ACL1-7/ACL1-8 and ACL1-9/ACL1-10. Primer ACL1-9 was designed from the region upstream of ACL1 and ACL1-10 was designed for the NAT cassette. Transformants in which the wild-type allele was replaced were confirmed by genomic hybridization as described (Hu and Kronstad, 2006). Three mutants designated ACL1-15, ACL1-16 and ACL1-3 contained the deletion allele and were selected for further study. Primer sequences are listed in Tables S2 and S3.
Cell stress and growth assays
To examine the response of C. neoformans wild-type, acl1-15, acl1-16 and acl1-3 strains to various nutrient sources, exponentially growing cultures were washed, re-suspended in H2O and adjusted to a concentration of 106 cells ml−1. The cell suspensions were diluted 10-fold serially in water, and 5 μl of each dilution was spotted onto YPD and YNB agar plates (yeast nitrogen base without amino acids and ammonium sulphate) supplemented with 5 g l−1 ammonium sulphate and a carbon source (2% or 0.2% glucose, 2% or 0.2% sodium acetate trihydrate, or 2% glycerol and 2% ethanol). Plates were incubated for 2–5 days at 30°C and photographed.
To compare the effects of nitrosative, oxidative and cell-wall stress on wild-type and mutant cells, different stress-inducing chemicals were added to YNB agar plates containing either 0.2% glucose or acetate. Nitrosative, oxidative and cell-wall stresses were induced with 4 mg ml−1 NaNO2, 100 μM tert-butyl alcohol, 0.5 mg ml−1 caffeine, 0.5% congo red or 30 μg ml−1 calcofluor white. Inocula were prepared and spotted as stated above and glucose-containing plates were incubated until growth of mutant colonies reached levels comparable to that of wild-type cells (4–5 days).
Assays of growth in liquid media were performed by diluting rinsed, exponentially growing mutant and wild-type cells in YNB (no carbon source) supplemented with either 0.2% acetate or glucose to a final concentration of 105 cells ml−1. Cultures were grown at 30°C with agitation for up to 5 days. Optical density (OD600) for each culture was determined every 12 h. Experiments were performed in triplicate.
Macrophage infection assay
To investigate the uptake and survival rates of wild type and acl1 mutant strains within macrophages, J774.1 macrophage-like cells were grown to 80% confluence in DMEM supplemented with 10% fetal bovine serum and 4 mM L-glutamine at 37°C with 5% CO2. Single colonies of wild type and mutant strains were inoculated in YPD and grown overnight at 30°C. Cultures were rinsed three times in PBS. Confluent macrophages grown in DMEM were stimulated 2 h prior to infection with 150 ng ml−1 phorbol myristate acetate. Inocula containing 2 × 106 wild type or mutant fungal cells were then opsonized in fresh DMEM with 0.5 μg ml−1 of the monoclonal antibody 18B7 for 30 min at 37°C. The opsonized cells (100 μl) were incubated with the stimulated macrophages for 1 h and 24 h at 37°C with 5% CO2. Macrophages containing internalized cryptococci were washed thoroughly four times with PBS to remove free extracellular fungal cells, and then lysed with sterile water for 30 min at room temperature. Lysate dilutions were plated on YPD + chloramphenicol (25 μg ml−1) agar and incubated at 30°C for 48 h, at which time the resulting CFUs were counted. To determine cryptococcal uptake into macrophages, macrophage and cryptococcal cells were prepared as described above with the following exceptions. After stimulation, the opsonized cells were incubated with the stimulated macrophages for 2 h at 37°C with 5% CO2. Cells were rinsed four times with PBS, fixed with 4% paraformaldehyde, rinsed a further two times with PBS and mounted. Macrophages containing fungal cells were quantified by DIC microscopy (100× magnification). A minimum of 100 cells were counted per replicate. Experiments were carried out in triplicate.
Capsule formation and melanin production
Low-iron medium was used to induce capsule formation. A single colony from a YPD plate for each strain was cultured overnight at 30°C in LIM. After incubation, the capsule was stained with India ink and examined by differential interference microscopy (DIC, Zeiss Axioplan 2 imaging system, 100× magnification). To examine melanin production, a single colony of each strain was incubated overnight at 30°C in liquid YNB medium, the cells were washed and diluted to 106 cells ml−1. Five microlitres of serial dilutions from this stock were spotted onto L-DOPA plates containing 0.1% glucose or acetate. The plates were incubated for 3 days at 30°C, and melanin production was monitored and photographed daily.
To determine whether capsule was synthesized and shed in the acl1 mutants, the quantity of shed polysaccharide was assessed by a blotting technique of culture medium filtrate, using an anti-GXM antibody to probe for capsule, as previously described by Yoneda et al. (Yoneda and Doering, 2008; O'Meara et al., 2010b). Briefly, capsule production was induced by inoculating each mutant, wild type and complement strain in 5 ml of LIM. Cultures were grown for 1 week at 30°C, and 50 μl aliquots were diluted to a cell density (OD600) of 0.2. The aliquots were boiled for 15 min to denature enzymes, the cells were pelleted and supernatants removed. Supernatants were electrophoresed on an agarose gel and transferred to nylon membrane using the Southern blot technique. The membrane was blocked using Tris-buffered saline–Tween-20 with 5% milk and the polysaccharide was detected using the primary monoclonal antibody 18b7 (1/10 000 dilution) and anti-mouse peroxidase-conjugated secondary antibody (1/5000 dilution, Jackson Labs). Antibody binding was visualized using Amersham ECL Western blotting detection reagents (GE Healthcare) and a Bio-Rad Chemidoc MP imaging system.
Fluconazole and hydroxycitrate susceptibility
Minimal inhibitory concentration values were determined by standard Clinical and Laboratory Standards Institute (CLSI) protocols (CLSI, 2008). In brief, a series of twofold fluconazole dilutions were made in DMSO (final concentrations ranged from 0 to 500 μg ml−1), across the rows of a 96-well flat plate (Sarstedt, Newton, NC, USA), with the exception of wells containing DMSO for growth and sterility controls. Overnight cultures in YNB were diluted in water to an OD600 of 0.11, followed by a 1:100 dilution in water, and a final 1:20 dilution in either YPD or YNB media. A standard volume of inoculum (195 μl) was added to each well. Cultures were grown for 48 h at 30°C, visually inspected for growth, and then incubated further and monitored daily for up to 2 weeks. The MIC as determined by visual inspection was the first drug concentration that yielded no growth. Experiments were performed in duplicate. Similarly, the MIC for hydroxycitrate (Sigma, USA) diluted in water (0-1200 μg ml−1) was performed for wild-type C. neoformans strain H99.
Time-kill experiments were performed to determine whether the inhibitory growth effects of fluconazole and the ACL1 gene deletion were fungicidal. Time-kill MIC values were determined as above with the exception that overnight cultures diluted to OD600 of 0.11 were further diluted 1:25 in YNB + 0.2% glucose, as a higher inoculum was required for time-kill spotting. The same diluted cultures were prepared for the time-kill assay and 95 μl of culture was added to 5 μl of diluted fluconazole in triplicate (final concentrations for each strain were at time-kill MIC and 1/4 MIC levels). At 0, 24 and 48 h, dilutions from each well were spotted on YPD agar plates, incubated for 48 h at 30°C and colony counts determined. A fungicidal effect was defined as > 3 log10 (99.9% killing) reduction in CFU ml−1 at time-kill concentrations after 48 h incubation (Spitzer et al., 2011). Experiments were carried out in triplicate.
qRT-PCR and gene expression
Overnight cultures in YNB were diluted to 105 cells ml−1 in 50 ml of fresh YNB (without amino acids or ammonium sulphate) supplemented with 5 g l−1 ammonium sulphate and 0.2% glucose. Cultures were incubated at 30°C until they reached the mid-exponential phase of growth, the cells were then collected, flash frozen in liquid N2 and stored at −80°C. Total RNA was extracted from frozen cells using a Qiagen RNeasy minikit according to the manufacturer's protocol. Subsequently, cDNA was synthesized using a Verso cDNA kit (Thermo Scientific). The resulting cDNA was used for real-time PCR with primers targeted to the 3′ regions of transcripts. Primers were designed using the PrimerSelect program from the DNAStar program package. The Power SYBR Green PCR mix (Applied Biosystems) was used according to the manufacture's recommendations. An Applied Biosystems 7500 Fast Real-time PCR system was used to detect and quantify the PCR products with the following conditions: incubation at 95°C for 10 min followed by 40 cycles of 95°C for 15 s, and 60°C for 1 min. The cDNA of the 18s gene was used to normalize the data. The sequences of the primers for the qRT-PCR analysis are listed in Table S4.
For virulence assays, female BALB/c mice (4–6 weeks old) were obtained from Charles River Laboratories (Ontario, Canada). C. neoformans cells were grown in YNB supplemented with 2% acetate overnight at 30°C, washed in PBS and re-suspended at 1.0 × 106 cells ml−1 in PBS. Inoculation was by intranasal instillation with 50 μl of cell suspension (inoculum of 2.0 × 105 cells per BALB/c mouse). Groups of 10 mice were inoculated for each strain. The status of the mice was monitored twice daily post inoculation. For the determination of fungal burdens in organs, infected mice were euthanized by CO2 inhalation and organs were excised, weighed and homogenized in 1 ml of PBS using a MixerMill (Retsch). Serial dilutions of the homogenates were plated on YPD agar plates containing 35 μg ml−1 chloramphenicol and CFUs were counted after incubation for 48 h at 30°C. All experiments with mice were conducted in full compliance with the guidelines of the Canadian Council on Animal Care and approved by the University of British Columbia's Committee on Animal Care (protocol A08-0586).
Quantification of cellular acetyl-CoA
Overnight cultures in YNB were diluted to 105 cells ml−1 in YNB media supplemented with 0.2% glucose and grown to midlog at 30°C. The cells were then rinsed twice with PBS, counted using a haemocytometer and once harvested, the cells were flash frozen in liquid N2 and stored at −80°C. The cells were re-suspended in 500 μl of water followed by bead beating for 5 min. Two hundred microlitres of cell lysate was centrifuged to remove cell debris and 100 μl of clarified lysate was used for acetyl-CoA quantification with a PicoProbeTM Acetyl-CoA quantification Kit (BioVision, San Francisco, CA, USA) as per the manufacturer's instructions, with the exception that the samples were incubated for 1 h at 37°C. Background sources of CoA such as free CoASH and succinyl-CoA were quenched as part of the quantification protocol, and acetyl-CoA was then converted to CoA through the enzyme-linked assay. Acetyl-CoA levels were determined using fluorescence measurements at 589 nm for extrapolation from an acetyl-CoA standard curve, after sample measurements were corrected for background. Concentrations were normalized for the number of cells in the sample and the assays were performed in triplicate.
Phylogenetic analysis and structure modelling
The C. neoformans H99 Acl1 protein sequence (CNAG_04640) was obtained from the Broad Institute database and used as a probe to retrieve the protein sequences of available animal and basidiomycete homologues from the NCBI database. The Aspergillus niger AclA and AclB sequences were used to retrieve the protein sequences of all other bacterial, ascomycete and plant homologues, which were then concatenated for each species. Sequences were aligned with Align Plus 4 from the Clone Manager program package (Sci Ed Central) using the BLOSUM62 scoring matrix and default parameters. Pairwise sequence identity between the Homo sapiens and C. neoformans Acl1 sequences was also determined using this program. Genetic distances for bootstrapped datasets (100 replicates) were calculated by Kimura's (1983) method and neighbour-joining consensus trees based on the calculated distances were constructed and a consensus tree was obtained. The trees were rooted using Thermovibrio ammonificans (a member of the Aquificales group of bacteria) sequence. All of the phylogenetic programs that were used to construct the tree are part of the TREECON for Windows software package (Van de Peer and De Wachter, 1997).
Indels were identified through visual inspection of global alignments of Acl1 orthologues from available representative species of different phyla. Local sequence information for various conserved indels and their flanking conserved regions from different species were compiled into signature files.
The C. neoformans Acl1 structure model was predicted by the structure assembly program I-TASSER (Roy et al., 2010) (University of Michigan, Ann Arbor, MI, USA). The 3D model was constructed using the human crystal structure folding restraints specified in the PDB file 3pff (Sun et al., 2011). Secondary structure information was mapped onto alignments to correlate indel positions with structural motifs.
Significant differences in intracellular survival and uptake rates, fungal load and cellular acetyl-CoA differences levels (P < 0.05) were determined by unpaired t-tests using GraphPad Prism 5 for Windows (Graph-Pad Software, San Diego, CA, USA). Analysis of survival differences was performed by the logrank test using GraphPad Prism 5 (P < 0.0001).
We thank Arturo Casadevall for the generous gift of antibody 18B7 and Thomas Kozel for providing the antibody 1326. This work was supported by a grant from the Canadian Institutes of Health Research (MOP-93597). J. W. K. is Burroughs Wellcome Fund Scholar in Molecular Pathogenic Mycology. B. F. was supported by NIH grant RO1 AI059681, and T. R. K. was supported by NIH grant R01 AI014209.