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Article

SAGA Complex Subunit Hfi1 Is Important in the Stress Response and Pathogenesis of Cryptococcus neoformans

School of Chemistry & Molecular Biosciences, Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, QLD 4072, Australia
*
Author to whom correspondence should be addressed.
J. Fungi 2023, 9(12), 1198; https://doi.org/10.3390/jof9121198
Submission received: 27 October 2023 / Revised: 5 December 2023 / Accepted: 9 December 2023 / Published: 15 December 2023

Abstract

:
The Spt-Ada-Gcn Acetyltransferase (SAGA) complex is a highly conserved co-activator found across eukaryotes. It is composed of a number of modules which can vary between species, but all contain the core module. Hfi1 (known as TADA1 in Homo sapiens) is one of the proteins that forms the core module, and has been shown to play an important role in maintaining complex structural integrity in both brewer’s yeast and humans. In this study we successfully identified the gene encoding this protein in the important fungal pathogen, Cryptococcus neoformans, and named it HFI1. The hfi1Δ mutant is highly pleiotropic in vitro, influencing phenotypes, ranging from temperature sensitivity and melanin production to caffeine resistance and titan cell morphogenesis. In the absence of Hfi1, the transcription of several other SAGA genes is impacted, as is the acetylation and deubiquination of several histone residues. Importantly, loss of the gene significantly impacts virulence in a murine inhalation model of cryptococcosis. In summary, we have established that Hfi1 modulates multiple pathways that directly affect virulence and survival in C. neoformans, and provided deeper insight into the importance of the non-enzymatic components of the SAGA complex.

1. Introduction

Adaptation to environmental conditions is required for survival, a process typically achieved via changes in gene expression to produce advantageous phenotypes, such as virulence trait production during infection by pathogenic species. The ability to alter phenotype is influenced by genetic information and environmental factors that impact gene expression. Gene expression is complicated, involving functions ranging from proteins that recruit RNA polymerase, to heritable chemical modifications of DNA and associated proteins that are the foundation of epigenetic phenomena. A widely studied epigenetic modification is the addition of a methyl group to C5 of cytosine in DNA, which inhibits DNA-binding proteins and plays a role in transcriptional regulation [1,2]. Epigenetic modifications can also occur on the proteins that package DNA, particularly histones, in the form of post-translational modifications (PTMs) [3].
Interactions among different PTMs can be complex, as the enzymes associated with these changes may compete for the same site, or their activity may be influenced by adjacent modifications [4,5]. The enzymes coordinating post-translational modification of histones can be referred to as readers (recognizing PTMs), writers (adding PTMs), or erasers (removing PTMs), and often work as multi-subunit protein complexes. A classic example of readers, writers, and erasers functioning in concert is the Spt-Ada-Gcn Acetyltransferase (SAGA) complex.
SAGA is a co-activator complex that plays a crucial role in regulating gene expression in animals, plants, and fungi. In animals it consists of five modules: HAT (histone acetyltransferase), DUB (deubiquitinase), TF-binding (transcription factor-binding), splicing, and core [6,7,8]. In plants, the proteins of the DUB module exist, but are not associated with SAGA [7]. Likewise, fungi are also missing one of the modules present in animals, only in this case, it is the proteins of the splicing module that are not associated with the complex [9,10].
In Saccharomyces cerevisiae, SAGA (ScSAGA) consists of 19 proteins which come together to form the four modules. The TF-binding module of ScSAGA comprises only one protein (Tra1), which interacts with multiple transcription factors such as Gal4, Gcn4, and Hap4 to enable recruitment of the complex [11]. HAT consists of four proteins, namely the histone acetyltransferase Gcn5 (a writer) which acetylates lysine in histones H3 and H2B, Ada2 and Ada3 which promote Gcn5 activity, and Sgf29 (a reader) which recognizes di- and tri-methylated H3K4 to direct HAT activity [12,13,14,15]. The DUB module also includes four proteins, namely the histone deubiquitinase Ubp8 (an eraser) which deubiquitinates histone H2B, Sus1 which contributes to Ubp8 function and links SAGA to mRNA export, Sgf73 which maintains Ubp8 conformation, and Sgf11 which is required for Ubp8 connection to SAGA [16,17,18,19,20].
The largest module within ScSAGA is the core, located at the center of the complex [21,22]. Comprising ten proteins, the core module has five TBP-associated factors (Taf5, Taf6, Taf9, Taf10 and Taf12) that are also components of transcription factor II D (TFIID); formed by these five proteins, eight more Tafs, and TBP in S. cerevisiae, TFIID is a multi-protein component of the RNA polymerase II pre-initiation complex [23]. Taf5, Taf6, Taf9, Taf10, and Taf12 are therefore essential. When in ScSAGA, these five Tafs contribute to structural integrity, interacting with basal transcription machinery and transcriptional activators [22,24]. Alongside the five Tafs in the ScSAGA core module are five proteins that are not components of TFIID, namely Hfi1/Ada1, Spt7 and Spt20 (all required for ScSAGA structural integrity), as well as Spt8 and Spt3 (both required for recruitment of TBP) [22].
Together, the complex formed by these modules plays a critical role in globally regulating gene transcription. For example, transcription of GAL1 (encoding galactokinase) in response to galactose availability involves ScSAGA recruitment through the joint signals of Gal4 interaction with Tra1 (TF-binding module) and Snf1 protein kinase phosphorylation of histone H3 S10 enabling Gcn5 (HAT module) to acetylate histone H3 K9, K14, and K18 to loosen the chromatin structure. Ubp8 (DUB module) de-ubiquitylates histone H2B K123, triggering a cascade of events that sets RNA pol II elongation in motion [25]. ScSAGA also recruits TBP to the GAL1 TATA box via Spt3 and Spt8 (core module) and interacts with the mRNA export apparatus via Sus1 (DUB module) [26]. These activities are brought together in ScSAGA by the core module.
In Homo sapiens, while the molecular functions of each protein in SAGA have not been fully characterized, the complex is known to contain 20 proteins forming five modules; with the exception of the core protein, Spt8, all ScSAGA proteins have homologs that can be found in the human SAGA (HsSAGA) complex [9]. The human core module consists of nine proteins, one fewer than in S. cerevisiae; there is no Spt8 homolog.
Investigation of the structure and function of fungal SAGA goes beyond humans and brewer’s yeast to pathogens where it plays a key role in responding to stress caused by the host. These studies typically focus on HAT and DUB. For instance, HAT protein Gcn5 influences cell growth and conidiation in the rice pathogen, Fusarium fujikuroi, regulates the high-iron stress response in the cereal crop pathogen, Fusarium graminearum, and is required for virulence in the human pathogen, Cryptococcus neoformans. The DUB protein, Ubp8, regulates pleiomorphism in the human pathogen, Candida albicans and carbon catabolite repression in the rice pathogen, Magnaporthe oryzae [27,28,29,30,31]. Studies focusing on the core module are fewer in number, but have shown roles of the core protein, Spt20, in regulating infectious particle formation in Aspergillus fumigatus, and Spt7 and Spt8 in invasions by C. albicans [32,33].
One of the core module subunit coding genes that has not been studied as extensively in fungi is HFI1 (Histone 2A Functional Interactor 1, also known as ADA1 for Alteration/Deficiency in Activation-1). Hfi1 is crucial for maintaining the structural integrity of ScSAGA; in the absence of Hfi1, ScSAGA lacks Taf12, Spt3, Tra1, and the entire HAT module (Gcn5, Ada2, Ada3, and Sgf29) [34]. In comparison, the structure of ScSAGA is maintained in the absence of Spt3 or Spt8, two other proteins from this module [35]. Loss of Hfi1 results in transcriptional defects in a range of genes, and its phenotypic abnormalities are more extensive than occur when the HAT proteins, Ada2, Ngg1/Ada3, or Gcn5, are absent [36]. With the help of Spt7 and Spt20, Hfi1 contributes to the association of DUB with chromatin [37,38]. In HsSAGA, TADA1, which is the homolog of Hfi1, also plays an important role in regard to structure [8]. Given the important role that it plays in humans and brewer’s yeast, it is surprising that Hfi1 has not yet been characterized in a fungal pathogen of humans, where SAGA plays a critical role in virulence.
C. neoformans is a widespread opportunistic fungus that poses a significant global health concern; in 2022 it was listed as the top-ranked species in the critical priority group of the WHO fungal priority pathogens list [39]. Commonly found in avian guano, soil, flowers, air, water, and certain tree species [40], infectious particles of C. neoformans are inhaled, lodge in the alveoli, and disseminate to and penetrate the blood-brain barrier with the aid of diverse mechanisms such as a polysaccharide capsule, the production of melanin, titan cell formation, and extracellular enzyme secretion [41,42,43,44]. Regulation of these virulence traits and survival in the presence of the stressful environment created by the host requires C. neoformans to coordinate transcriptional regulation in response to environmental insult, a task contributed to by SAGA [27,45,46].
The role of HAT (Histone Acetyltransferase) in the regulation of hyper- and hypovirulence in C. neoformans is well established [27,45,46]. However, the core module responsible for the association of HAT with the SAGA complex has not been studied. Here, we focused on identifying and characterizing the gene encoding Hfi1 in C. neoformans. Deletion of this gene revealed a complex, pleiotropic phenotype that highlighted the functional significance of Hfi1 in virulence traits both in vitro and in vivo, leading to hypovirulence in a murine inhalation model of cryptococcosis. Loss of Hfi1 both influenced the epigenetic architecture of C. neoformans through histone modification, and affected the transcription of gene-encoding components of the SAGA complex. Overall, these first studies of Hfi1 in a fungal pathogen revealed the essential role of Hfi1 in mammalian infection by C. neoformans and emphasized its significance in regulating virulence traits.

2. Materials & Methods

2.1. Bioinformatic Analyses

The protein sequence of TADA1 from H. sapiens was used to identify the HFI1 gene in C. neoformans strain H99O using tBLASTn analysis [47]. Sequence alignments of Hfi1 (TADA1) from C. neoformans, S. cerevisiae, and H. sapiens were performed using ClustalW v1.4 (MacVector Inc., Apex, NC, USA) and Needleman-Wunsch alignment (EMBOSS Needle, Hinxton, Cambridgeshire, UK).

2.2. Media and STRAINS

All strains are listed in Table S1. Wild-type (C. neoformans H99O), hfi1Δ and hfi1Δ + HFI1 complemented strains were grown in yeast peptone dextrose (YPD) media (2% bacto-peptone, 1% yeast extract, 2% glucose, 2% agar) at 30 °C unless otherwise stated. Mach1 Escherichia coli (Thermo Fisher Scientific, Waltham, MA, USA) strains used for cloning were grown on lysogeny broth (LB) agar (1% tryptone, 0.5% yeast extract, 1% sodium chloride, 2% agar) supplemented with 100 μg/mL ampicillin at 37 °C.

2.3. Cloning

The primers and plasmids employed throughout this study are listed in Tables S2 and S3. All PCR fragments were generated using Phusion High Fidelity DNA Polymerase (New England Biolabs, Ipswich, MA, USA). To amplify the 5’ and 3’ regions of HFI1, C. neoformans H99O genomic DNA was used as the template, while NEO was amplified from pJAF1 [48]. The PCR products (1 kb upstream of HFI1, the NEO marker, and 1 kb downstream of HFI1) were cloned into pBlueScriptII SK(-) using NEBuilder HiFi DNA Assembly (New England Biolabs) to create pCJS48. The complementation plasmid was used to reintroduce HFI1 in chromosome 1 [49] by cloning a PCR fragment containing HFI1 into the Safe Haven locus-targeting plasmid pSDMA25 with NEBuilder HiFi DNA Assembly to create pKY04. All plasmids were sequenced through the Australian Genome Research Facility (AGRF), with resulting chromatograms analyzed using CLC Genomics Workbench 12.1 (QIAGEN, Germany).

2.4. Creating HFI1 Gene Deletion and Complementation Strains

To conduct biolistic transformation, the sequenced deletion construct was excised from pCJS48 by digestion with KpnI and SpeI (New England Biolabs) and the complementation plasmid pKY04 was linearized with PacI (New England Biolabs). Biolistic transformation was performed using the W7 hydrochloride modification described by Arras and colleagues [50]. To create the hfi1Δ, strain transformants were selected on YPD media supplemented with 100 μg/mL G418. To create the hfi1Δ + HFI1, complemented strain transformants were selected on YPD media supplemented with 100 μg/mL nourseothricin. Genomic DNA from transformants were prepared via CTAB DNA extraction [51], digested with restriction enzymes, electrophoresed on an agarose gel (1%) overnight at 24 V, and Southern blotted onto Hybond-XL membrane (GE Healthcare, Chicago, IL, USA) [52]. NEO and Safe Haven probes were labeled with dCTP [α-32P] (PerkinElmer, Shelton, CT, USA) using the DECAprime II kit (Thermo Fisher Scientific, USA). The blots were hybridized with the NEO (hfi1Δ) or Safe Haven (hfi1Δ + HFI1) probes overnight at 65 °C, washed with 0.1% SDS, 2× SSC buffer, and then exposed and developed on Fuji SuperRX medical X-ray film (Fujifilm, Tokyo, Japan) or phosphorimager (Typhoon PLA 9500, GE Healthcare, Chicago, IL, USA).

2.5. Phenotype and Virulence Assays

The wild-type, hfi1Δ and hfi1Δ + HFI1 strains were grown overnight in YPD liquid media, centrifuged, washed in dH2O, then resuspended in 1 mL of dH2O and diluted to OD600 = 1.0, prior to the preparation of serial tenfold dilutions for each strain. Samples were then spotted as 4 µL aliquots onto a yeast nitrogen base (YNB, 2% glucose, 10 mM ammonium sulfate) media supplemented with compounds of interest (0.5 μg/mL FK506, 0.2 mM NiCl2, 5 mM caffeine, 1.5 mM DTT, or 1% BSA). For observation of virulence trait production, 3 μL of 10−1 dilution suspension was spotted on the media of interest (Christensen’s urea agar [53], L-DOPA agar [54], or egg yolk agar [55]). All traits were tested in triplicate at both 30 °C and 37 °C. Cultures were grown in the dark and the phenotypes were assessed at the 48 h and 72 h time points.
For capsule induction, strains were grown for 24 h and then transferred into RPMI 1640 (Life Technologies, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 2% glucose, 10% fetal bovine serum (Life Technologies). After 48 h of incubation, cells were stained with India ink (BD Diagnostics, Franklin Lakes, NJ, USA) and imaged using a Leica DM2500 microscope and DFC425C camera (Leica, Wetzlar, Germany). For each strain, ten images were photographed and 100 cells measured for the whole cell and capsule diameters using Adobe Illustrator.
For titan cell induction, approximately 107 cells of each strains were inoculated into 10 mL of liquid YPD media in T25 Nunclon Delta Surface tissue culture flasks (Thermo Scientific) and incubated at 150 rpm for 22 h at 30 °C. A total of 105 cells were collected and titan cells induced in 1 mL of minimal media (15 mM d-glucose, 10 mM MgSO4, 29.4 mM KH2PO4, 13 mM glycine, 3.0 µM thiamine) for 120 h at 30 °C. Cells from each strain were imaged on a hemocytometer at 10× and 40× before and after induction. Cell size and capsule size were measured using Adobe Illustrator and analyzed using Prism 10 (GraphPad Inc., Boston, MA, USA). Significant differences between strains were identified using two-tailed unpaired t-tests with Welch’s correction.

2.6. Murine Inhalation Model of Virulence

For murine infection assays, 6-week-old female BALB/c mice (Ozgene) were infected by nasal inhalation [56]. For each strain, 10 mice were inoculated with a 50 μL drop containing 5 × 105 C. neoformans cells. A maximum of 5 mice were housed per IVC cage (Tecniplast, West Chester, PA, USA) with Bed-o’Cobs 1/8′′ bedding (The Andersons, Maumee, OH, USA), Crink-l′Nest nesting material (The Andersons, USA), and cardboard as environmental enrichment. Mice were provided Rat and Mouse Cubes (Specialty Feeds, Glen Forrest, WA, Australia) and water ad libitum. Each mouse was examined and weighed twice daily for the duration of the experiment, with affected mice euthanized via CO2 inhalation once body weight had decreased to 80% of their pre-infection weight or they exhibited symptoms consistent with infection. Death after CO2 inhalation was confirmed by pedal reflex prior to dissection. The brain, lungs, liver, spleen, and kidneys were collected, homogenized using a TissueLyser II (QIAGEN) and plated to determine colony-forming units per gramme of organ weight; serial dilutions were spotted on YPD agar supplemented with 100 μg/mL ampicillin, 50 μg/mL kanamycin, and 25 μg/mL chloramphenicol to prevent bacterial contamination. Kaplan-Meier survival curves were plotted using GraphPad Prism 10.0 (GraphPad Software, Boston, MA, USA). Significance was analyzed using the log-rank test while organ burden significance was determined using a one-way ANOVA with Tukey’s multiple comparisons test. p values of < 0.05 were considered significant. Ethics statement: This study was carried out in strict accordance with the recommendations in the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes by the National Health and Medical Research Council. The protocol was approved by the Molecular Biosciences Animal Ethics Committee of The University of Queensland (AEC approval number: 2022/AE000748). Infection was performed under methoxyflurane anesthesia, and all efforts were made to minimize suffering through adherence to the Guidelines to Promote the Wellbeing of Animals Used for Scientific Purposes as put forward by the National Health and Medical Research Council.

2.7. Protein Extraction

Cell pellets were collected via centrifugation and resuspended in 5 mL of tris-buffered saline (TBS, pH 7.5) buffer. Resuspended cells were aliquoted into 1.5 mL screw cap tubes (ThermoFisher Scientific) and fast frozen in liquid nitrogen. A 2X modified lysis buffer (50 mM tris-HCl [pH 7.5], 100 mM NaCl, 100 mM PMSF, and 1× EDTA-free protease inhibitor cocktail [Roche, Basel, Switzerland]) and ~200 µL of 0.5 mm acid-washed silica glass beads (BioSpec Products, Bartlesville, OK, USA) were added, and the cells were homogenized at 4 °C for 90 s with 2 min of rest for 10 cycles on a Tissuelyser II (QIAGEN, Hilden, North Rhine-Westphalia, Germany). After homogenizing, lysate was transferred to Protein LoBind Tubes (Eppendorf, Hamburg, Germany); then glycerol, SDS, DTT, and Triton X-100 were added to final concentrations of 4%, 1%, 1 mM, and 1%, respectively. Lysates were incubated for 10 min at 4 °C on a HulaMixer Sample Mixer (ThermoFisher Scientific), and then centrifuged at 14,000 rpm at 4 °C for 20 min. The supernatant was collected as the protein extract.

2.8. Western Blot Analyses

Protein concentrations were measured using the Pierce Detergent Compatible Bradford Assay Kit (ThermoFisher Scientific). A total of 15 ng of protein extracts were electrophoresed at 80 V for 3 h on 12% sodium dodecyl sulfate (SDS)-polyacrylamide gels, then transferred to Hybond-P PVDF membrane (GE Healthcare, USA). For detecting histone modification, a 1:5000 dilution of anti-H2B (#12364), anti-H2BK120ub (#5546), anti-H3 (#4499), anti-H3K9ac (#9649), anti-H3K14ac (#7627), anti-H3K18ac (#13998), anti-H4K8 (#2594), anti-H4K12 (#13944), anti-H4K16 (#13534), or anti-H3K4trimethl (#9751) rabbit monoclonal antibody (Cell Signaling Technology, Danvers, MA, USA) was used. All primary antibodies were diluted in TBST (25 mM tris-HCl [pH 7.5], 100 mM NaCl, 0.1% Tween 20) with 5% bovine serum albumin and incubated overnight at 4 °C. Goat anti-rabbit IgG, HRP-linked antibody (Cell Signaling Technology, USA, #7074) was used as a secondary antibody and diluted 1:1000 in TBST. After incubation with the secondary antibody for 1 h at room temperature, protein was detected using the SuperSignal West Pico PLUS Chemiluminescent Substrate Kit (ThermoFisher Scientific) and an ImageQuant 800 GxP biomolecular imager (Cytiva Life Sciences, Marlborough, MA, USA).

2.9. RNA Extraction and Reverse Transcription-Quantitative PCR

All primers used are listed in Table S2. Strains were grown in YPD at 30 °C until OD600 = 1.0. Cultures were harvested and cell pellets were frozen, which were then lyophilized. Total RNA was isolated from wild-type and the hfi1Δ mutant using TRIzol reagent (Invitrogen), and cDNA generated using the Superscript III First-Strand Synthesis System (Invitrogen). Primers for SAGA genes were designed to span exon–exon boundaries. SYBR Green supermix (Applied Biosystems, Waltham, MA, USA) and an Applied Biosystems ViiA 7 Real-Time PCR System were used for performing quantitative real-time PCR (qRT-PCR). The relative gene expression was quantified using the change-in-threshold (2−ΔΔCT) method [57]. Four house-keeping genes, ACT1, GPD1, HHT1, and TUB2, were used as controls for normalization; calculations were performed using ACT1 as the control. To determine statistical significance, a one-way analysis of variance (ANOVA) was performed using the unpaired with Tukey’s multiple comparisons test in GraphPad Prism Version 10.0.

3. Results

3.1. Identification of the Gene-Encoding Hfi1 in C. neoformans

Previous bioinformatic analyses investigating SAGA in C. neoformans identified many of the components of the complex, but not Hfi1 [27]. To identify the gene-encoding component of the SAGA core module, we performed a tBLASTn analysis of the genome of type strain H99O using TADA1 from the host species Homo sapiens. CNAG_06852, which we have named HFI1, was the only hit identified. Pairwise comparisons between the C. neoformans, S. cerevisiae, and H. sapiens proteins revealed that this component of SAGA has a low level of conservation (Figure S1); the C. neoformans protein exhibits 11.7% identity (21% similarity) to its H. sapiens counterpart, S. cerevisiae displays 14.8% identity (25.9% similarity) to H. sapiens, and C. neoformans shows 20% identity (33% similarity) to S. cerevisiae.
The annotation of CNAG_06852 in the H99O genome is based on transcriptomic data, providing a robust model for the structure of HFI1. The gene has a transcript of 1569 bp and has two introns within an ORF that encodes a 522 residue protein.
HFI1 was deleted from strain H99O using biolistic transformation, replacing the ORF with the NEO selectable marker [48]. Following validation by Southern blot, the mutant was complemented by the insertion of a wild-type allele at Safe Haven 1, a well-characterized gene-free neutral site on chromosome 1 [49].

3.2. Hfi1 Is Essential for C. neoformans Growth during Stress

With the availability of the hfi1Δ mutant and its complemented derivative (hfi1Δ + HFI1), the consequences of the loss of Hfi1 from the core module could be investigated. In S. cerevisiae, the hfi1Δ mutant behaved as wild-type on normal synthetic complete media, but was sensitive to caffeine [35]. In this study, we compared the hfi1Δ mutant with the wild-type and the complemented strain hfi1Δ + HFI1 strains on nutrient-rich YPD and synthetic complete YNB. While the strains were indistinguishable at 30 °C, the hfi1Δ strain exhibited impaired growth under the stressful condition of human body temperature (37 °C) on both YPD and YNB media (Figure 1).
The hfi1Δ mutant does not exhibit a consistent response to all stresses (Figure 1). Growth was inhibited by the presence of NiCl2 and oxidative stress provoked by dithiothreitol (DTT), even at 30 °C. In contrast, the mutant grows more strongly than wild-type or the complemented strain under cell wall stress induced by caffeine, the opposite phenotype displayed by the S. cerevisiae hfi1Δ mutant on this media. Unexpectedly, we observed an unusual phenotype with the mutant when in the presence of the calcineurin inhibitor, FK506 (tacrolimus): the mutant exhibits sensitivity to the compound at 30 °C, but has increased drug tolerance compared to wild-type at 37 °C.

3.3. Deletion of HFI1 Impacts C. neoformans Virulence Traits In Vitro

Beyond general stress responses, deletion of HFI1 also influences several virulence traits that are important for C. neoformans during the infection process. Loss of this component of the core module results in reduced production of melanin at both 30 and 37 °C on l-3,4-dihydroxyphenylalanine (L-DOPA) agar, less production of phospholipase B at 37 °C on egg yolk agar, and reduced extracellular protease production at both 30 and 37 °C on BSA media (Figure 2). The phenotype of the hfi1Δ mutant on Christensen’s agar is twofold: first, as shown by the stronger than wild-type orange halo, the hfi1Δ mutant has increased urease activity at 37 °C; second, its growth on this vitamin-free media indicates that the C. neoformans mutant is not a myo-inositol auxotroph, which is a phenotype present in its S. cerevisiae counterpart [35] (Figure 2).
One distinctive characteristic of Cryptococcus among fungal pathogens lies in its polysaccharide capsule, which plays a role in countering the host immune system. Investigation of capsule formation using India ink staining following growth in RPMI 1640 medium revealed that the hfi1Δ strain has a smaller capsule than wild-type (Figure 3A). Significant differences (p-value < 0.0001) were observed between the hfi1Δ strain and the wild-type at both 30 °C and 37 °C (Figure 3B).
To prevent phagocytic engulfment, C. neoformans cells can increase their physical size to create titan cells while in the host lung [58], an unusual morphotype that allows C. neoformans to change the host immune response and increases antifungal drug resistance [59]. The titan cell phenotype is detectable in vitro following incubation of the pathogen in minimal medium at 30 °C for five days [58]. Intriguingly, the hfi1Δ strain failed to induce titan cell production, and this phenotype was rescued by reintroduction of the wild-type allele (Figure 4A). To further support the observation, measurement of 300 cells’ diameter (excluding capsule) for each strain followed by a statistical analysis were performed. Significant differences (p-value < 0.0001) were observed between the hfi1Δ strain and the wild-type (Figure 4B).

3.4. HFI1 Is Important for C. neoformans Virulence in a Murine Inhalation Model of Infection

To assess the impact of deleting the HFI1 gene in a murine inhalation model of infection, we investigated whether the absence of this core module gene in SAGA affects the virulence of C. neoformans in vivo. Given that Hfi1 plays an important role in SAGA structure in other species, it was predicted that the deletion of HFI1 would result in a reduction in virulence.
Groups of ten mice were infected with wild-type, the deletion mutant, or the complemented strain. Daily monitoring of the mice post-infection was carried out, and euthanasia criteria were the manifestation symptoms of meningoencephalitis or a 20% reduction in body weight. After euthanasia, the spleen, kidney, liver, lungs, and brains from all mice were collected, homogenized, and cultured on YPD media to quantify the fungal burden.
By the middle of week 5 all mice infected with wild-type H99O and hfi1Δ + HFI1 strains succumbed to illness. This outcome was corroborated by equivalent fungal burden loads across all organs in mice infected with wild-type and the complemented strains (p-value > 0.05). In contrast, mice infected with the hfi1Δ mutant not only survived, but appeared healthy and consistently gained weight during the experiment (Figure 5A and Figure S3). Upon termination of the experiment at day 50, while no fungal burden was detected in the homogenized liver, spleen, and kidney of mice infected with the mutant, colonies were identified in the lungs of seven mice, with two mice also showing colonies in the brain (Figure 5B). Loss of HFI1 leads to a reduction in virulence in C. neoformans, conclusively establishing the crucial role of HFI1 in C. neoformans during the infection process.

3.5. Hfi1 Is Required for SAGA to Perform a Subset of Its Post-Transcriptional Modification Functions

A fundamental role shown for both ScSAGA and HsSAGA is the acetylation of various lysine residues on histones, such as H3K9, H3K14, H3K18, and other lysines present in H4, such as H4K8, H4K12, and H4K16 [60,61,62,63,64]. These acetylation activities are influenced by the tri-methylation of H3K4, which is recognized by HAT module protein, Sgf29 [65,66]. ScSAGA and HsSAGA also mediate the de-ubiquitination of H2B lysine residue, K120 for human or K123 for the brewer’s yeast [67,68]. To investigate whether Hfi1 is required to be in the core module for SAGA modification of histones to occur, the post-translational modification of histones was investigated in wild-type, hfi1Δ and hfi1Δ + HFI1 strains using Western blot analyses (Figure 6).
The deletion of HFI1 resulted in a higher level of ubiquitination of C. neoformans H2BK133 (S. cerevisiae H2BK123, H. sapiens H2BK120), suggesting that the loss of this core protein impacts the ability of the DUB module to function (Figure 6A). Investigation of histone acetylation revealed a reduction in acetylation of H3K14 and, to a lesser extent, K18, but no apparent influence on acetylation of lysine residues in histone H4 (Figure 6B,C). No impact of trimethylation of H3K4 was observed (Figure 6C). Overall, the loss of Hfi1 did impact a number of histone PTMs, but did not lead to the complete abolishment of any of those investigated (Figure 6D).

3.6. Deletion of Hfi1 Influences the Expression of Other SAGA Genes

In order to gain deeper insight into the mechanisms underlying the impact of the loss of Hfi1 on histone modifications, we conducted an analysis of the transcript levels of all genes predicted to encode a component of the SAGA complex, comparing transcription between wild-type and the hfi1Δ mutant using RT-qPCR. Interestingly, the deletion of HFI1 resulted in the induction of expression of some SAGA genes (Figure 7); the abundance of SPT3, SUS1, and TAF10 transcripts was significantly increased (p-value < 0.0001), while the abundance of SPT20, TAF5, and TAF12 transcripts was slightly increased (p-value < 0.01). Importantly, the abundance of the histone acetylase-encoding GCN5 or the deubiquitinase-encoding UBP8 genes was not affected, indicating that the effect of histone PTMs in the hfi1Δ mutant is not through loss of the transcription of these genes.

4. Discussion

SAGA is an evolutionarily conserved complex that functions as a transcriptional regulator of stress-response genes. In S. cerevisiae, SAGA is well characterized and can be divided into four modules, namely HAT, DUB, TF-binding, and core which binds all the other modules together. In H. sapiens, the SAGA complex contains a splicing module. Until now, studies in C. neoformans have been limited to the HAT module. In this study, we began to investigate the core module in C. neoformans, starting with Hfi1. The understanding of this protein in fungi is extremely limited; the S. cerevisiae hfi1Δ mutant exhibits sensitivity to caffeine, a requirement for inositol [35], while in the soil-borne plant pathogen, Verticillium dahliae, the mutant has defects in multiple phenotypes contributing to virulence [69]. In this study, we also observed a pleiotropic phenotype for the hfi1Δ mutant, this time in the top-ranked Critical Priority Group species from the World Health Organization fungal priority pathogens list.
The phenotypes observed in C. neoformans differed from those observed in S. cerevisiae and V. dahliae, but nevertheless shared a common theme. The C. neoformans hfi1Δ mutant exhibited sensitivity to stress introduced by certain metals (NiCl2), reducing agents (DTT), cell wall stressors (caffeine), and anti-fungal drugs (FK506). Focusing on phenotypes directly associated with the infection process, the mutant displayed weaker growth at human body temperature, a smaller capsule, no titan cell formation, less melanin, less protease, less phospholipase B, and higher urease production. When challenged in a mouse inhalation model of infection, the mutant was unable to cause detectable disease even after 50 days, with 30% of the individuals completely clearing the infection, and the remaining mice continuing to thrive and gain weight. These findings lead to the conclusion that the loss of HFI1 decreases virulence but may not abolish it completely. Previous studies in C. neoformans have shown that a loss of GCN5 and ADA2 both lead to avirulence; however, these studies did not include an investigation of whether fungus was present in mice that were still alive at the conclusion of the experiment. In contrast, deletion of SGF29 results in hypervirulence [27,45,46]. Such divergent results within the same complex require further investigation.
The in vivo infection result shows that Hfi1 is required for C. neoformans to exhibit wild-type virulence, and the extensive in vitro phenotypes provide insight into the reason why this is the case. Multiple well-established virulence traits were compromised due to the absence of this protein. The molecular mechanism underpinning these phenotypes is likely the major function of SAGA modifying PTMs becoming compromised.
In S. cerevisiae, Gcn5 acetylates histone lysine residues, H3K9, H3K14, H3K18, H4K8, H4K12, and H4K16, Sgf29 recognizes H3K4 tri- and di- methylation, and Ubp8 deubiquitinates histone lysine residue, H2BK123 [14,60,70]. In C. neoformans, the gcn5Δ mutant has been shown to exhibit a reduced acetylation level of H3K9, K14, K18, and K27 [71]. However, the influence of the deletion of SAGA genes on the acetylation of histone, H4, or deubiquitination of histone, H2B, has not previously been studied. With the aid of an analysis spanning eight PTMs, it was shown that Hfi1 influences H3K14 and H3K18 acetylation and H2B deubiquitination. This impact on histone PTMs aligns with similar analyses in V. dahliae, and suggests the essential role of Hfi1 in maintaining the integrity of SAGA [69]. A full understanding of the role of the SAGA cotranscriptional activator in the pathogenesis of C. neoformans requires further analyses of this important structural element of the complex.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof9121198/s1, Figure S1: Protein alignments of Hfi1 from Saccharomyces cerevisiae, Aspergillus fumigatus, Candida albicans, Cryptococcus neoformans and Homo sapiens. Numbering for is based on the C. neoformans sequence; Figure S2: H99L sgf29Δ allele background verification. PCR using primers UQ3574 and UQ3575 amplifies a 2568 bp SGF29 fragment from wild-type (H99O, lane 2) and a 1834 bp band from strains bearing the H99L sgf29Δ allele (H99L, lane 3) easily visible on a 1% agarose TAE gel. Lane 1, Invitrogen 1 Kb Plus DNA Ladder. Lane 3 and Lane 4, a 2568 bp fragment from the mutant and complemented strains; Figure S3: Changing of weight for seven mice during the experiment. Mice 1, 2, 7, 8, 9 had colonies identified in the lung. Mice 4 and 10 had colonies identified in both lung and brain; Table S1: Strains used in this study; Table S2: Primers used in this study; Table S3: Plasmids used in this study.

Author Contributions

Conceptualization, C.K.Y., C.J.S. and J.A.F.; Methodology, C.K.Y.; Validation, B.L.S. and J.A.F.; Formal Analysis, C.K.Y., C.J.S. and J.A.F.; Investigation, C.K.Y. and C.J.S.; Resources, J.A.F.; Data Curation, C.K.Y., C.J.S., T.C.V. and T.G.D.; Writing—Original Draft Preparation, C.K.Y. and J.A.F.; Writing—Review & Editing, J.A.F.; Visualization, C.K.Y.; Supervision, B.L.S. and J.A.F.; Project Administration, J.A.F.; Funding Acquisition, J.A.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Health and Medical Research Council, APP1130192 to J.A.F.

Institutional Review Board Statement

This study was carried out in strict accordance with the recommendations in the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes by the National Health and Medical Research Council. The protocol was approved by the Molecular Biosciences Animal Ethics Committee of The University of Queensland (AEC approval number: 2022/AE000748. Date of approval: 26 May 2023).

Informed Consent Statement

Not applicable.

Data Availability Statement

All data described in this study are presented in the manuscript and publicly available.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gibney, E.R.; Nolan, C.M. Epigenetics and Gene Expression. Heredity 2010, 105, 4–13. [Google Scholar] [CrossRef] [PubMed]
  2. Hotchkiss, R.D. The Quantitative Separation of Purines, Pyrimidines, and Nucleosides by Paper Chromatography. J. Biol. Chem. 1948, 175, 315–332. [Google Scholar] [CrossRef] [PubMed]
  3. Li, E. Chromatin Modification and Epigenetic Reprogramming in Mammalian Development. Nat. Rev. Genet. 2002, 3, 662–673. [Google Scholar] [CrossRef] [PubMed]
  4. Bannister, A.J.; Kouzarides, T. Regulation of Chromatin by Histone Modifications. Cell Res. 2011, 21, 381–395. [Google Scholar] [CrossRef] [PubMed]
  5. Lee, J.S.; Smith, E.; Shilatifard, A. The Language of Histone Crosstalk. Cell 2010, 142, 682–685. [Google Scholar] [CrossRef] [PubMed]
  6. Nagy, Z.; Tora, L. Distinct GCN5/PCAF-Containing Complexes Function as Co-Activators and are Involved in Transcription Factor and Global Histone Acetylation. Oncogene 2007, 26, 5341–5357. [Google Scholar] [CrossRef] [PubMed]
  7. Wu, C.J.; Liu, Z.Z.; Wei, L.; Zhou, J.X.; Cai, X.W.; Su, Y.N.; Li, L.; Chen, S.; He, X.J. Three Functionally Redundant Plant-Specific Paralogs are Core Subunits of the SAGA Histone Acetyltransferase Complex in Arabidopsis. Mol. Plant. 2021, 14, 1071–1087. [Google Scholar] [CrossRef] [PubMed]
  8. Herbst, D.A.; Esbin, M.N.; Louder, R.K.; Dugast-Darzacq, C.; Dailey, G.M.; Fang, Q.; Darzacq, X.; Tjian, R.; Nogales, E. Structure of the Human SAGA Coactivator Complex: The Divergent Architecture of Human SAGA Allows Modular Coordination of Transcription Activation and Co-Transcriptional Splicing. Nat. Struct. Mol. Biol. 2021, 28, 989–996. [Google Scholar] [CrossRef]
  9. Helmlinger, D.; Tora, L. Sharing the SAGA. Trends Biochem. Sci. 2017, 42, 850–861. [Google Scholar] [CrossRef]
  10. Koutelou, E.; Hirsch, C.L.; Dent, S.Y.R. Multiple Faces of the SAGA Complex. Curr. Opin. Cell Biol. 2010, 22, 374–382. [Google Scholar] [CrossRef]
  11. Brown, C.E.; Howe, L.; Sousa, K.; Alley, S.C.; Carrozza, M.J.; Tan, S.; Workman, J.L. Recruitment of HAT Complexes by Direct Activator Interactions with the ATM-Related Tra1 Subunit. Science 2001, 292, 2333–2337. [Google Scholar] [CrossRef] [PubMed]
  12. Sun, J.; Paduch, M.; Kim, S.A.; Kramer, R.M.; Barrios, A.F.; Lu, V.; Luke, J.; Usatyuk, S.; Kossiakoff, A.A.; Tan, S. Structural Basis for Activation of SAGA Histone Acetyltransferase Gcn5 by Partner Subunit Ada2. Proc. Natl. Acad. Sci. USA 2018, 115, 10010–10015. [Google Scholar] [CrossRef] [PubMed]
  13. Huang, J.; Dai, W.; Xiao, D.; Xiong, Q.; Liu, C.; Hu, J.; Ge, F.; Yu, X.; Li, S. Acetylation-Dependent SAGA Complex Dimerization Promotes Nucleosome Acetylation and Gene Transcription. Nat. Struct. Mol. Biol. 2022, 29, 261–273. [Google Scholar] [CrossRef] [PubMed]
  14. Bian, C.; Xu, C.; Ruan, J.; Lee, K.K.; Burke, T.L.; Tempel, W.; Barsyte, D.; Li, J.; Wu, M.; Zhou, B.O.; et al. Sgf29 Binds Histone H3k4me2/3 and is Required for SAGA Complex Recruitment and Histone H3 Acetylation. EMBO J. 2011, 30, 2829–2842. [Google Scholar] [CrossRef] [PubMed]
  15. Balasubramanian, R.; Pray-Grant, M.G.; Selleck, W.; Grant, P.A.; Tan, S. Role of the Ada2 and Ada3 Transcriptional Coactivators in Histone Acetylation. J. Biol. Chem. 2002, 277, 7989–7995. [Google Scholar] [CrossRef] [PubMed]
  16. García-Molinero, V.; García-Martínez, J.; Reja, R.; Furió-Tarí, P.; Antúnez, O.; Vinayachandran, V.; Conesa, A.; Pugh, B.F.; Pérez-Ortín, J.E.; Rodríguez-Navarro, S. The SAGA/TREX-2 Subunit Sus1 Binds Widely to Transcribed Genes and Affects mRNA Turnover Globally. Epigenetics Chromatin 2018, 11, 13. [Google Scholar] [CrossRef] [PubMed]
  17. Yan, M.; Wolberger, C. Uncovering the Role of Sgf73 in Maintaining SAGA Deubiquitinating Module Structure and Activity. J. Mol. Biol. 2015, 427, 1765–1778. [Google Scholar] [CrossRef]
  18. Lee, K.K.; Florens, L.; Swanson, S.K.; Washburn, M.P.; Workman, J.L. The Deubiquitylation Activity of Ubp8 is Dependent Upon Sgf11 and its Association with the SAGA Complex. Mol. Cell. Biol. 2005, 25, 1173–1182. [Google Scholar] [CrossRef]
  19. Baker, S.P.; Grant, P.A. The SAGA Continues: Expanding the Cellular Role of a Transcriptional Co-Activator Complex. Oncogene 2007, 26, 5329–5340. [Google Scholar] [CrossRef]
  20. Rodríguez-Navarro, S.; Fischer, T.; Luo, M.J.; Antúnez, O.; Brettschneider, S.; Lechner, J.; Pérez-Ortín, J.E.; Reed, R.; Hurt, E. Sus1, a Functional Component of the SAGA Histone Acetylase Complex and the Nuclear Pore-Associated mRNA Export Machinery. Cell 2004, 116, 75–86. [Google Scholar] [CrossRef]
  21. Han, Y.; Luo, J.; Ranish, J.; Hahn, S. Architecture of the Saccharomyces cerevisiae SAGA Transcription Coactivator Complex. EMBO J. 2014, 33, 2534–2546. [Google Scholar] [CrossRef] [PubMed]
  22. Liu, G.; Zheng, X.; Guan, H.; Cao, Y.; Qu, H.; Kang, J.; Ren, X.; Lei, J.; Dong, M.-Q.; Li, X.; et al. Architecture of Saccharomyces cerevisiae SAGA Complex. Cell Discov. 2019, 5, 25. [Google Scholar] [CrossRef] [PubMed]
  23. Patel, A.B.; Greber, B.J.; Nogales, E. Recent Insights into the Structure of TFIID, its Assembly, and its Binding to Core Promoter. Curr. Opin. Struct. Biol. 2020, 61, 17–24. [Google Scholar] [CrossRef] [PubMed]
  24. Grant, P.A.; Schieltz, D.; Pray-Grant, M.G.; Steger, D.J.; Reese, J.C.; Yates, J.R.; Workman, J.L. A Subset of TAFIIs are Integral Components of the SAGA Complex Required for Nucleosome Acetylation and Transcriptional Stimulation. Cell 1998, 94, 45–53. [Google Scholar] [CrossRef]
  25. Morgan, M.T.; Haj-Yahya, M.; Ringel, A.E.; Bandi, P.; Brik, A.; Wolberger, C. Structural Basis for Histone H2B Deubiquitination by the SAGA DUB Module. Science 2016, 351, 725–728. [Google Scholar] [CrossRef]
  26. Pascual-García, P.; Govind, C.K.; Queralt, E.; Cuenca-Bono, B.; Llopis, A.; Chavez, S.; Hinnebusch, A.G.; Rodríguez-Navarro, S. Sus1 Is Recruited to Coding Regions and Functions during Transcription Elongation in Association with SAGA and TREX2. Genes Dev. 2008, 22, 2811–2822. [Google Scholar] [CrossRef] [PubMed]
  27. O’Meara, T.R.; Hay, C.; Price, M.S.; Giles, S.; Alspaugh, J.A. Cryptococcus neoformans Histone Acetyltransferase Gcn5 Regulates Fungal Adaptation to the Host. Eukaryot. Cell 2010, 9, 1193–1202. [Google Scholar] [CrossRef]
  28. Rösler, S.M.; Kramer, K.; Finkemeier, I.; Humpf, H.-U.; Tudzynski, B. The SAGA Complex in the Rice Pathogen Fusarium fujikuroi: Structure and Functional Characterization. Mol. Microbiol. 2016, 102, 951–974. [Google Scholar] [CrossRef]
  29. Gu, Q.; Wang, Y.; Zhao, X.; Yuan, B.; Zhang, M.; Tan, Z.; Zhang, X.; Chen, Y.; Wu, H.; Luo, Y.; et al. Inhibition of Histone Acetyltransferase GCN5 by a Transcription Factor FgPacC Controls Fungal Adaption to Host-Derived Iron Stress. Nucleic Acids Res. 2022, 50, 6190–6210. [Google Scholar] [CrossRef]
  30. Zhu, W.; Fan, X.; Zhao, Q.; Xu, Y.; Wang, X.; Chen, J. Bre1 and Ubp8 Regulate H2B Mono-Ubiquitination and the Reversible Yeast-Hyphae Transition in Candida albicans. Mol. Microbiol. 2021, 115, 332–343. [Google Scholar] [CrossRef]
  31. Yang, J.; Chen, D.; Matar, K.A.O.; Zheng, T.; Zhao, Q.; Xie, Y.; Gao, X.; Li, M.; Wang, B.; Lu, G.-d. The Deubiquitinating Enzyme MoUbp8 is Required for Infection-Related Development, Pathogenicity, and Carbon Catabolite Repression in Magnaporthe oryzae. Appl. Microbiol. Biotechnol. 2020, 104, 5081–5094. [Google Scholar] [CrossRef] [PubMed]
  32. Rashid, S.; Correia-Mesquita, T.O.; Godoy, P.; Omran, R.P.; Whiteway, M. SAGA Complex Subunits in Candida albicans Differentially Regulate Filamentation, Invasiveness, and Biofilm Formation. Front. Cell. Infect. Microbiol. 2022, 12, 764711. [Google Scholar] [CrossRef] [PubMed]
  33. Chen, Y.; Stewart, J.I.P.; Liu, S.; Sheppard, D.C.; Lu, L.; Zhang, S.; Atomi, H. Spt20, a Structural Subunit of the SAGA Complex, Regulates Aspergillus fumigatus Biofilm Formation, Asexual Development, and Virulence. Appl. Environ. Microbiol. 2022, 88, e01535-21. [Google Scholar] [CrossRef] [PubMed]
  34. Wu, P.Y.; Ruhlmann, C.; Winston, F.; Schultz, P. Molecular Architecture of the S. cerevisiae SAGA Complex. Mol. Cell 2004, 15, 199–208. [Google Scholar] [CrossRef] [PubMed]
  35. Sterner, D.E.; Grant, P.A.; Roberts, S.M.; Duggan, L.J.; Belotserkovskaya, R.; Pacella, L.A.; Winston, F.; Workman, J.L.; Berger, S.L. Functional Organization of the Yeast SAGA Complex: Distinct Components Involved in Structural Integrity, Nucleosome Acetylation, and TATA-Binding Protein Interaction. Mol. Cell. Biol. 1999, 19, 86–98. [Google Scholar] [CrossRef]
  36. Horiuchi, J.; Silverman, N.; Piña, B.; Marcus, G.A.; Guarente, L. Ada1, a Novel Component of the ADA/GCN5 Complex, has Broader Effects than GCN5, ADA2, or ADA3. Mol. Cell. Biol. 1997, 17, 3220–3228. [Google Scholar] [CrossRef]
  37. Sánchez-Gaya, V.; Casaní-Galdón, S.; Ugidos, M.; Kuang, Z.; Mellor, J.; Conesa, A.; Tarazona, S. Elucidating the Role of Chromatin State and Transcription Factors on the Regulation of the Yeast Metabolic Cycle: A Multi-Omic Integrative Approach. Front. Genet. 2018, 9, 578. [Google Scholar] [CrossRef]
  38. Nuño-Cabanes, C.; García-Molinero, V.; Martín-Expósito, M.; Gas, M.-E.; Oliete-Calvo, P.; García-Oliver, E.; de la Iglesia-Vayá, M.; Rodríguez-Navarro, S. SAGA–CORE Subunit Spt7 is Required for Correct Ubp8 Localization, Chromatin Association and Deubiquitinase Activity. Epigenetics Chromatin 2020, 13, 46. [Google Scholar] [CrossRef]
  39. World Health Organisation. WHO Fungal Priority Pathogens List to Guide Research, Development and Public Health Action; World Health Organisation: Geneva, Switzerland, 2022; ISBN 978-92-4-006024-1. Available online: https://www.who.int/publications/i/item/9789240060241 (accessed on 25 October 2022).
  40. Serna-Espinosa, B.N.; Guzmán-Sanabria, D.; Forero-Castro, M.; Escandón, P.; Sánchez-Quitian, Z.A. Environmental Status of Cryptococcus neoformans and Cryptococcus gattii in Colombia. J. Fungi 2021, 7, 410. [Google Scholar] [CrossRef]
  41. Chatterjee, S.; Prados-Rosales, R.; Itin, B.; Casadevall, A.; Stark, R.E. Solid-State NMR Reveals the Carbon-Based Molecular Architecture of Cryptococcus neoformans Fungal Eumelanins in the Cell Wall. J. Biol. Chem. 2015, 290, 13779–13790. [Google Scholar] [CrossRef]
  42. Okagaki, L.H.; Strain, A.K.; Nielsen, J.N.; Charlier, C.; Baltes, N.J.; Chrétien, F.; Heitman, J.; Dromer, F.; Nielsen, K. Cryptococcal Cell Morphology Affects Host Cell Interactions and Pathogenicity. PLoS Pathog. 2010, 6, e1000953. [Google Scholar] [CrossRef]
  43. Almeida, F.; Wolf, J.M.; Casadevall, A. Virulence-Associated Enzymes of Cryptococcus neoformans. Eukaryot. Cell 2015, 14, 1173–1185. [Google Scholar] [CrossRef] [PubMed]
  44. Rodrigues, M.L.; Nakayasu, E.S.; Oliveira, D.L.; Nimrichter, L.; Nosanchuk, J.D.; Almeida, I.C.; Casadevall, A. Extracellular Vesicles Produced by Cryptococcus neoformans Contain Protein Components Associated with Virulence. Eukaryot. Cell 2008, 7, 58–67. [Google Scholar] [CrossRef] [PubMed]
  45. Arras, S.D.M.; Ormerod, K.L.; Erpf, P.E.; Espinosa, M.I.; Carpenter, A.C.; Blundell, R.D.; Stowasser, S.R.; Schulz, B.L.; Tanurdzic, M.; Fraser, J.A. Convergent Microevolution of Cryptococcus neoformans Hypervirulence in the Laboratory and the Clinic. Sci. Rep. 2017, 7, 17918. [Google Scholar] [CrossRef] [PubMed]
  46. Haynes, B.C.; Skowyra, M.L.; Spencer, S.J.; Gish, S.R.; Williams, M.; Held, E.P.; Brent, M.R.; Doering, T.L. Toward an Integrated Model of Capsule Regulation in Cryptococcus neoformans. PLoS Pathog. 2011, 7, e1002411. [Google Scholar] [CrossRef] [PubMed]
  47. Janbon, G.; Ormerod, K.L.; Paulet, D.; Byrnes, E.J., 3rd; Yadav, V.; Chatterjee, G.; Mullapudi, N.; Hon, C.C.; Billmyre, R.B.; Brunel, F.; et al. Analysis of the Genome and Transcriptome of Cryptococcus neoformans var. grubii Reveals Complex RNA Expression and Microevolution Leading to Virulence Attenuation. PLoS Genet. 2014, 10, e1004261. [Google Scholar]
  48. Fraser, J.A.; Subaran, R.L.; Nichols, C.B.; Heitman, J. Recapitulation of the Sexual Cycle of the Primary Fungal Pathogen Cryptococcus neoformans var. gattii: Implications for an Outbreak on Vancouver Island, Canada. Eukaryot. Cell 2003, 2, 1036–1045. [Google Scholar] [PubMed]
  49. Arras, S.D.M.; Chitty, J.L.; Blake, K.L.; Schulz, B.L.; Fraser, J.A. A Genomic Safe Haven for Mutant Complementation in Cryptococcus neoformans. PLoS ONE 2015, 10, e0122916. [Google Scholar] [CrossRef]
  50. Arras, S.D.; Fraser, J.A. Chemical Inhibitors of Non-Homologous End Joining Increase Targeted Construct Integration in Cryptococcus neoformans. PLoS ONE 2016, 11, e0163049. [Google Scholar] [CrossRef]
  51. Pitkin, J.W.; Panaccione, D.G.; Walton, J.D. A Putative Cyclic Peptide Efflux Pump Encoded by the TOXA Gene of the Plant-Pathogenic Fungus Cochliobolus carbonum. Microbiology 1996, 142, 1557–1565. [Google Scholar] [CrossRef]
  52. Southern, E. Southern Blotting. Nat. Protoc. 2006, 1, 518–525. [Google Scholar] [CrossRef] [PubMed]
  53. Christensen, W.B. Urea Decomposition as a Means of Differentiating Proteus and Paracolon Cultures from Each Other and from Salmonella and Shigella Types. J. Bacteriol. 1946, 52, 461–466. [Google Scholar] [CrossRef] [PubMed]
  54. Chaskes, S.; Tyndall, R.L. Pigment Production by Cryptococcus neoformans from Para- and Ortho-Diphenols: Effect of the Nitrogen Source. J. Clin. Microbiol. 1975, 1, 509–514. [Google Scholar] [CrossRef] [PubMed]
  55. Chen, S.C.; Wright, L.C.; Santangelo, R.T.; Muller, M.; Moran, V.R.; Kuchel, P.W.; Sorrell, T.C. Identification of Extracellular Phospholipase B, Lysophospholipase, and Acyltransferase Produced by Cryptococcus neoformans. Infect. Immun. 1997, 65, 405–411. [Google Scholar] [CrossRef] [PubMed]
  56. Cox, G.M.; Mukherjee, J.; Cole, G.T.; Casadevall, A.; Perfect, J.R. Urease as a Virulence Factor in Experimental Cryptococcosis. Infect. Immun. 2000, 68, 443–448. [Google Scholar] [CrossRef] [PubMed]
  57. Livak, K.J.; Schmittgen, T.D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  58. Hommel, B.; Mukaremera, L.; Cordero, R.J.B.; Coelho, C.; Desjardins, C.A.; Sturny-Leclère, A.; Janbon, G.; Perfect, J.R.; Fraser, J.A.; Casadevall, A.; et al. Titan Cells Formation in Cryptococcus neoformans is Finely Tuned by Environmental Conditions and Modulated by Positive and Negative Genetic Regulators. PLoS Pathog. 2018, 14, e1006982. [Google Scholar] [CrossRef]
  59. Dambuza, I.M.; Drake, T.; Chapuis, A.; Zhou, X.; Correia, J.; Taylor-Smith, L.; LeGrave, N.; Rasmussen, T.; Fisher, M.C.; Bicanic, T.; et al. The Cryptococcus neoformans Titan Cell is an Inducible and Regulated Morphotype Underlying Pathogenesis. PLoS Pathog. 2018, 14, e1006978. [Google Scholar] [CrossRef]
  60. Kuo, M.H.; Brownell, J.E.; Sobel, R.E.; Ranalli, T.A.; Cook, R.G.; Edmondson, D.G.; Roth, S.Y.; Allis, C.D. Transcription-Linked Acetylation by Gcn5p of Histones H3 and H4 at Specific Lysines. Nature 1996, 383, 269–272. [Google Scholar] [CrossRef]
  61. Li, B.; Sun, J.; Dong, Z.; Xue, P.; He, X.; Liao, L.; Yuan, L.; Jin, Y. GCN5 Modulates Osteogenic Differentiation of Periodontal Ligament Stem Cells through DKK1 Acetylation in Inflammatory Microenvironment. Sci. Rep. 2016, 6, 26542. [Google Scholar] [CrossRef]
  62. Grant, P.A.; Eberharter, A.; John, S.; Cook, R.G.; Turner, B.M.; Workman, J.L. Expanded Lysine Acetylation Specificity of Gcn5 in Native Complexes. J. Biol. Chem. 1999, 274, 5895–5900. [Google Scholar] [CrossRef] [PubMed]
  63. Riss, A.; Scheer, E.; Joint, M.; Trowitzsch, S.; Berger, I.; Tora, L. Subunits of Ada-Two-A-Containing (ATAC) or Spt-Ada-Gcn5-Acetyltrasferase (SAGA) Coactivator Complexes Enhance the Acetyltransferase Activity of GCN5. J. Biol. Chem. 2015, 290, 28997–29009. [Google Scholar] [CrossRef] [PubMed]
  64. Ciurciu, A.; Komonyi, O.; Pankotai, T.; Boros, I.M. The Drosophila Histone Acetyltransferase Gcn5 and Transcriptional Adaptor Ada2a are Involved in Nucleosomal Histone H4 Acetylation. Mol. Cell. Biol. 2006, 26, 9413–9423. [Google Scholar] [CrossRef] [PubMed]
  65. Fuchs, S.M.; Laribee, R.N.; Strahl, B.D. Protein Modifications in Transcription Elongation. Biochim. Biophys. Acta 2009, 1789, 26–36. [Google Scholar] [CrossRef] [PubMed]
  66. Schram, A.W.; Baas, R.; Jansen, P.W.; Riss, A.; Tora, L.; Vermeulen, M.; Timmers, H.T. A Dual Role for SAGA-Associated Factor 29 (SGF29) in ER Stress Survival by Coordination of both Histone H3 Acetylation and Histone H3 Lysine-4 Trimethylation. PLoS ONE 2013, 8, e70035. [Google Scholar] [CrossRef] [PubMed]
  67. Fischer, V.; Schumacher, K.; Tora, L.; Devys, D. Global Role for Coactivator Complexes in RNA Polymerase II Transcription. Transcription 2019, 10, 29–36. [Google Scholar] [CrossRef] [PubMed]
  68. Zhang, X.Y.; Varthi, M.; Sykes, S.M.; Phillips, C.; Warzecha, C.; Zhu, W.; Wyce, A.; Thorne, A.W.; Berger, S.L.; McMahon, S.B. The Putative Cancer Stem Cell Marker USP22 is a Subunit of the Human SAGA Complex Required for Activated Transcription and Cell-Cycle Progression. Mol. Cell 2008, 29, 102–111. [Google Scholar] [CrossRef]
  69. Geng, Q.; Li, H.; Wang, D.; Sheng, R.C.; Zhu, H.; Klosterman, S.J.; Subbarao, K.V.; Chen, J.Y.; Chen, F.M.; Zhang, D.D. The Verticillium dahliae Spt-Ada-Gcn5 Acetyltransferase Complex Subunit Ada1 Is Essential for Conidia and Microsclerotia Production and Contributes to Virulence. Front. Microbiol. 2022, 13, 852571. [Google Scholar] [CrossRef]
  70. Henry, K.W.; Wyce, A.; Lo, W.S.; Duggan, L.J.; Emre, N.T.; Kao, C.F.; Pillus, L.; Shilatifard, A.; Osley, M.A.; Berger, S.L. Transcriptional Activation via Sequential Histone H2B Ubiquitylation and Deubiquitylation, Mediated by SAGA-Associated Ubp8. Genes Dev. 2003, 17, 2648–2663. [Google Scholar] [CrossRef]
  71. Chen, M.; Liu, Y.; Liu, Z.; Su, L.; Yan, L.; Huang, Y.; Huang, Y.; Zhang, W.; Xu, X.; Zheng, F. Histone Acetyltransferase Gcn5-Mediated Histone H3 Acetylation Facilitates Cryptococcal Morphogenesis and Sexual Reproduction. mSphere 2023, e00299-23. [Google Scholar] [CrossRef]
Figure 1. Loss of HFI1 results in different responses to stresses. Growth of 10-fold serial dilutions of wild-type (WT), hfi1Δ, and hfi1Δ + HFI1 strains of C. neoformans on a variety of media. Pictures were taken after 48 h of growth.
Figure 1. Loss of HFI1 results in different responses to stresses. Growth of 10-fold serial dilutions of wild-type (WT), hfi1Δ, and hfi1Δ + HFI1 strains of C. neoformans on a variety of media. Pictures were taken after 48 h of growth.
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Figure 2. Loss of HFI1 affects the production of C. neoformans virulence factors in vitro. (A) Melanin production was determined on L-DOPA agar, (B) urease production on Christensen’s urea agar, (C) production of phospholipase B on egg yolk agar, and (D) protease production on 2% glucose YNB agar supplemented with 0.1% bovine serum albumin.
Figure 2. Loss of HFI1 affects the production of C. neoformans virulence factors in vitro. (A) Melanin production was determined on L-DOPA agar, (B) urease production on Christensen’s urea agar, (C) production of phospholipase B on egg yolk agar, and (D) protease production on 2% glucose YNB agar supplemented with 0.1% bovine serum albumin.
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Figure 3. The hfi1Δ mutant has a capsule defect. (A) Strains were incubated in RPMI 1640 medium supplied with 10% fetal bovine serum at 30 and 37 °C. At 48 h, cells were stained with India ink. (B) Relative capsule size of 100 cells from wild-type, hfi1Δ and hfi1Δ + HFI1. Strains were compared by two-tailed t tests (unpaired) with Welch’s correction. Error bars show the means ±95% confidence intervals, n = 100. **** represents significant difference (p < 0.0001).
Figure 3. The hfi1Δ mutant has a capsule defect. (A) Strains were incubated in RPMI 1640 medium supplied with 10% fetal bovine serum at 30 and 37 °C. At 48 h, cells were stained with India ink. (B) Relative capsule size of 100 cells from wild-type, hfi1Δ and hfi1Δ + HFI1. Strains were compared by two-tailed t tests (unpaired) with Welch’s correction. Error bars show the means ±95% confidence intervals, n = 100. **** represents significant difference (p < 0.0001).
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Figure 4. The hfi1Δ mutant does not form titan cells. (A) 105 cell number for each strain were incubated in MMT medium at 30 °C. Images were captured before and after 5 days of incubation. (B) Cell sizes (without capsule) of 300 cells from wild-type, hfi1Δ and hfi1Δ + HFI1. Strains were compared by two-tailed t tests (unpaired) with Welch’s correction. Error bars show the means ±95% confidence intervals, n = 300. **** represents significant difference (p < 0.0001).
Figure 4. The hfi1Δ mutant does not form titan cells. (A) 105 cell number for each strain were incubated in MMT medium at 30 °C. Images were captured before and after 5 days of incubation. (B) Cell sizes (without capsule) of 300 cells from wild-type, hfi1Δ and hfi1Δ + HFI1. Strains were compared by two-tailed t tests (unpaired) with Welch’s correction. Error bars show the means ±95% confidence intervals, n = 300. **** represents significant difference (p < 0.0001).
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Figure 5. HFI1 is required for virulence of C. neoformans in a murine inhalation model of infection. (A) Five-week-old mice were subjected to intranasal infection with either 105 cells of the wild-type strain, the hfi1Δ mutant strain, or the hfi1Δ + HFI1 complemented strains. Kaplan–Meier survival curves were generated, and statistical significance was determined using log-rank tests. All mice infected with the hfi1Δ mutant strain survived, and there was no statistically significant difference in survival between mice infected with the wild-type strain and those infected with the hfi1Δ + HFI1 complemented strains (p-value > 0.05). (B) Fungal organ burden in the infected mice was assessed for wild-type, hfi1Δ mutant, and hfi1Δ + HFI1 complemented strains. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test. p-values of < 0.05 were considered significant. Median is represented by a black line. Fungal burden in mice infected with the wild-type strain and hfi1Δ + HFI1 complemented strain was significantly higher (**** p-value < 0.05) compared to mice infected with the hfi1Δ mutant strain.
Figure 5. HFI1 is required for virulence of C. neoformans in a murine inhalation model of infection. (A) Five-week-old mice were subjected to intranasal infection with either 105 cells of the wild-type strain, the hfi1Δ mutant strain, or the hfi1Δ + HFI1 complemented strains. Kaplan–Meier survival curves were generated, and statistical significance was determined using log-rank tests. All mice infected with the hfi1Δ mutant strain survived, and there was no statistically significant difference in survival between mice infected with the wild-type strain and those infected with the hfi1Δ + HFI1 complemented strains (p-value > 0.05). (B) Fungal organ burden in the infected mice was assessed for wild-type, hfi1Δ mutant, and hfi1Δ + HFI1 complemented strains. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test. p-values of < 0.05 were considered significant. Median is represented by a black line. Fungal burden in mice infected with the wild-type strain and hfi1Δ + HFI1 complemented strain was significantly higher (**** p-value < 0.05) compared to mice infected with the hfi1Δ mutant strain.
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Figure 6. Hfi1 influences histone deubiquitination and acetylation in C. neoformans. (A) Ubiquitination of histone 2B was detected using anti-H2BK120ub antibody. (B) Acetylation of histone H3 was detected using anti-H3K9ac, -H3K14ac, and -H3K18ac antibodies. (C) Acetylation of histone H4 and methylation of H3 was detected using anti-H4K8ac, -H4K12ac, -H4K16ac, and -H3K4trimethyl antibodies. Arrows indicate the 17 kDa (black arrow) and 26 kDa (white arrow) bands in the Broad Range Color Prestained Protein Standard (NEB). (D) Summary of Western blot results.
Figure 6. Hfi1 influences histone deubiquitination and acetylation in C. neoformans. (A) Ubiquitination of histone 2B was detected using anti-H2BK120ub antibody. (B) Acetylation of histone H3 was detected using anti-H3K9ac, -H3K14ac, and -H3K18ac antibodies. (C) Acetylation of histone H4 and methylation of H3 was detected using anti-H4K8ac, -H4K12ac, -H4K16ac, and -H3K4trimethyl antibodies. Arrows indicate the 17 kDa (black arrow) and 26 kDa (white arrow) bands in the Broad Range Color Prestained Protein Standard (NEB). (D) Summary of Western blot results.
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Figure 7. Loss of hfi1Δ influences the abundance of the transcripts of a number of SAGA protein-encoding genes. ACT1 was used as the control for normalization. Error bars illustrate the standard errors computed from three biological replicates, each with three independent technical replicates, while the asterisks indicate significant differences (**** p-value < 0.0001; ** p-value < 0.01) in expression relative to wild-type, as determined by one-way ANOVA with Tukey’s multiple comparisons test.
Figure 7. Loss of hfi1Δ influences the abundance of the transcripts of a number of SAGA protein-encoding genes. ACT1 was used as the control for normalization. Error bars illustrate the standard errors computed from three biological replicates, each with three independent technical replicates, while the asterisks indicate significant differences (**** p-value < 0.0001; ** p-value < 0.01) in expression relative to wild-type, as determined by one-way ANOVA with Tukey’s multiple comparisons test.
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MDPI and ACS Style

Yu, C.K.; Stephenson, C.J.; Villamor, T.C.; Dyba, T.G.; Schulz, B.L.; Fraser, J.A. SAGA Complex Subunit Hfi1 Is Important in the Stress Response and Pathogenesis of Cryptococcus neoformans. J. Fungi 2023, 9, 1198. https://doi.org/10.3390/jof9121198

AMA Style

Yu CK, Stephenson CJ, Villamor TC, Dyba TG, Schulz BL, Fraser JA. SAGA Complex Subunit Hfi1 Is Important in the Stress Response and Pathogenesis of Cryptococcus neoformans. Journal of Fungi. 2023; 9(12):1198. https://doi.org/10.3390/jof9121198

Chicago/Turabian Style

Yu, Chendi K., Christina J. Stephenson, Tristan C. Villamor, Taylor G. Dyba, Benjamin L. Schulz, and James A. Fraser. 2023. "SAGA Complex Subunit Hfi1 Is Important in the Stress Response and Pathogenesis of Cryptococcus neoformans" Journal of Fungi 9, no. 12: 1198. https://doi.org/10.3390/jof9121198

APA Style

Yu, C. K., Stephenson, C. J., Villamor, T. C., Dyba, T. G., Schulz, B. L., & Fraser, J. A. (2023). SAGA Complex Subunit Hfi1 Is Important in the Stress Response and Pathogenesis of Cryptococcus neoformans. Journal of Fungi, 9(12), 1198. https://doi.org/10.3390/jof9121198

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