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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: J Eukaryot Microbiol. 2015 Mar 23;62(5):591–604. doi: 10.1111/jeu.12213

Characterization of Lipids and Proteins Associated to the Cell Wall of the Acapsular Mutant Cryptococcus neoformans Cap 67

Larissa V G Longo a,, Ernesto S Nakayasu b,1,, Jhon H S Pires a, Felipe Gazos-Lopes b, Milene C Vallejo a,2, Tiago J P Sobreira c, Igor C Almeida b, Rosana Puccia a
PMCID: PMC4621242  NIHMSID: NIHMS668994  PMID: 25733123

Abstract

Cryptococcus neoformans is an opportunistic human pathogen that causes life-threatening meningitis. In this fungus, the cell wall is exceptionally not the outermost structure due to the presence of a surrounding polysaccharide capsule, which has been highly studied. Considering that there is little information about C. neoformans cell wall composition, we aimed at describing proteins and lipids extractable from this organelle, using as model the acapsular mutant C. neoformans cap 67. Purified cell wall preparations were extracted with either chloroform/methanol or hot SDS. Total lipids fractionated in silica gel 60 were analyzed by electrospray ionization-tandem mass spectrometry (ESI-MS/MS), while trypsin digested proteins were analyzed by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). We detected 25 phospholipid species among phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, phosphatidylinositol, and phosphatidic acid. Two glycolipid species were identified as monohexosyl ceramides. We identified 192 non-covalently linked proteins belonging to different metabolic processes. Most proteins were classified as secretory, mainly via nonclassical mechanisms, suggesting a role for extracellular vesicles in transwall transportation. In concert with that, orthologs from 86% of these proteins have previously been reported both in fungal cell wall and/or in extracellular vesicles. The possible role of the presently described structures in fungal-host relationship is discussed.

Keywords: glycolipid, monohexosyl ceramide, pathogenic fungus, phospholipid, proteome


CRYPTOCOCCUS neoformans is a ubiquitous basidiomycete that can be found in diverse types of environments, such as the soil, trees, and bird feces. It is an important opportunistic human pathogen that causes life-threatening meningitis and meningoencephalitis in immunocompromised hosts (Srikanta et al. 2014). Infection occurs when desiccated yeasts or spores are inhaled. Once they reach the pulmonary alveoli, they can rapidly be eliminated by the immune system or remain quiescent until an immunological misbalance leads to central nervous system tropism and disease development. In the last decades, the number of cryptococcosis cases has risen dramatically due to the association with AIDS and patients under immunosuppressive treatment (Srikanta et al. 2014).

A number of factors have been related to C. neoformans virulence, such as melanin production, the ability to grow at 37 °C, phospholipase and urease extracellular activities, induction of the Rim101 transcription factor and the virulence-associated protein VAD1. However, the best studied and most important fungal virulence factor is a polysaccharide capsule that surrounds the fungal cell wall (Vecchiarelli et al. 2013). Strains with larger capsule show higher virulence, primarily attributed to prevention of phagocytosis by host macrophages (Feldmesser et al. 2000). Therefore, investigators have concentrated their studies in capsule components, especially in the major glucuronoxylomannan (GXM). Despite the importance of the fungal cell wall in the relationship with the environment and the host, there is little information about it in Cryptococcus (Perfect and Casadevall 2002).

Fungal cell wall is mainly composed of structural glucans and chitin, with an outer layer of mannan and glycoproteins (Latge 2007). A proportionally minor lipid and protein total content has also been described (San-Blas and San-Blas 1984). In Candida albicans and Saccharomyces cerevisiae, cell wall structural proteins are covalently linked either to β-1,6-glucan via a remnant glycosylphosphatidylinositol (GPI) anchor or directly to the long β-1,3-glucan chain (e.g., proteins with internal repeats – Pir) (De Groot et al. 2005). Additionally, non-covalently linked proteins, associated to the cell wall by disulfide bonds or other unclear ways, have been described (Ruiz-Herrera et al. 2006, Guimaraes et al. 2011, Puccia et al. 2011).

The C. neoformans cell wall consists predominantly of chitin and a mixture of branched and linear glucopyrans (James et al. 1990). As opposed to S. cerevisiae, C. neoformans cell wall lacks structural mannan (James et al. 1990) and mannoproteins (Vartivarian et al. 1989). The literature on cell wall lipids focuses on a glucosylceramide (GlcCer) species localized preferentially to the C. neoformans cell wall, with a role in budding, growth, and pathogenicity (Rodrigues et al. 2000, Rittershaus et al. 2006). There are few studies on cell wall molecules in C. neoformans (Foster et al. 2007).

Considering the scarce literature about cell wall composition, the present work aimed to describe lipid and protein cell wall components using as model an acapsular C. neoformans mutant (cap 67) in order to avoid contamination with capsule components. The role of the presently described structures in fungal-host relationship is speculated.

MATERIALS AND METHODS

Reagents and solvents

Otherwise stated, all reagents and solvents used in this study were HPLC-grade or higher, and mostly from Sigma-Aldrich Co. (St. Louis, MO).

C. neoformans cap 67 growth conditions

Acapsular mutant C. neoformans cap 67 was maintained in slants of modified YPD medium (0.5% yeast extract, 0.5% casein peptone, 1.5% glucose, pH 6.5) at 36 °C. Yeast cells were then seeded to grow at 36 °C for 48 h in 100 ml pre-inoculum flasks containing a defined medium (15 mM glucose, 10 mM MgSO4, 29.5 mM KH2PO4, 13 mM glycine, and 3 µM thiamine, pH 5.5), transferred to fresh medium (200 ml) and cultivated for three more days before cell wall purification.

Cell wall purification

Cell wall purification was performed as previously described for Paracoccidioides brasiliensis (Longo et al. 2013b). Briefly, yeast cell pellets were washed three times in phosphate-buffered saline solution (PBS) and mechanically broken in a cell disruptor (B. Braun Biotech International GmBH, Melsungen, Germany) in the presence of glass beads (425–600 µm, Sigma Aldrich). Mechanical disruption was achieved by six turns of 10-min agitation alternated with a 10-min rest on ice. For proteomic analysis, self-proteolysis was prevented with the use of protease inhibitors (100 mM ethylenediamine tetraacetic acid, EDTA; 10 mM 1,10-phenanthroline; 1 mM phenylmethylsulfonyl fluoride, PMSF; 1 µM pepstatin A; and 15 µM trans-epoxysuccinyl-L-leucylamido(4-guanidino)butane, E-64). The cell wall-containing fraction was pelleted by centrifugation (5,000 × g for 10 min at 4 °C) and washed with deionized water. Cytoplasmic and membranous contents were eliminated by three sequential centrifugations (8,000 × g for 45 min at 4 °C) in 85% sucrose (Kanetsuna et al. 1969). The cell wall enriched fraction was then washed differently for proteomic and lipidomic analysis. Before lipid extraction (detailed below), cell wall fractions were washed 50 times in ultrapure water (Previato JO 1979). In preparations destined for protein extraction (detailed below), cell pellets were first washed five times with ultrapure water. We then sequentially carried out five washes with each NaCl solution (5% NaCl, 2% NaCl and 1% NaCl), to remove non-specifically bound components that could eventually remain in the cell wall preparation, followed by five washes with 1 mM PMSF (Pitarch et al. 2002).

Lipid extraction and fractionation

A lyophilized cell wall preparation (100 mg) from C. neoformans cap 67 was sequentially extracted three times, under shaking with glass beads, with 1 ml chloroform:methanol (2:1, v:v) and chloroform:methanol:water (2:1:0.8, v:v:v), as described (Yichoy et al. 2009). Both extracts were combined, dried under a N2 stream and dissolved in 2 ml chloroform. Lipid fractionation was performed in 500 mg of silica gel 60 spheres (60Å, 200–400 mm, Sigma-Aldrich, St. Louis, MO) packed in a Pasteur pipette. The silica was sequentially washed in 5 ml HPLC-grade methanol, acetone, and chloroform before loading with extracted total lipids. Neutral glycolipids and phospholipids were sequentially eluted with 5 ml of acetone and methanol, and dried under N2 stream.

Glycolipid permethylation

Glycolipids were permethylated as previously described (Ciucanu and Kerek 1984). Glycolipids were stored overnight at −20 °C in desiccant silica and redissolved in 150 µl anhydrous dimethyl sulfoxide (DMSO). A few milligrams of powdered, anhydrous NaOH were added and the mixture was vortexed. After the addition of 80 µl iodomethane, the sample was incubated under shaking for 1 h at room temperature. Two ml of both deionized water and dichloromethane were added, the mixture was vortexed and centrifuged, and the aqueous upper layer was removed. The remaining organic phase was washed three times in 2 ml deionized water and dried under N2 stream.

ESI-MS/MS analysis of phospholipids and glycolipids

In order to analyze phospholipids (negative- and positive-ion modes) and glycolipids, we used electrospray ionization tandem mass spectrometry (ESI-MS/MS) on a linear ion-trap mass spectrometer (LTQ XL, ThermoFisher Scientific Inc., San Jose, CA) coupled with an automated nanospray source (TriVersa NanoMate System, Advion, Ithaca, NY), as described previously (Vallejo et al. 2012b). For the negative-ion mode analysis, phospholipid samples were redissolved in methanol containing 0.05% formic acid (FA) and 0.05% NH4OH; 2.5 µM phosphatidylglycerol (C12:0/C12:0-PG) (Avanti Polar Lipids, Alabaster, AL) was used as internal standard. For the positive-ion mode analysis, phospholipid samples were redissolved in 10 mM LiOH/methanol and 2.5 µM phosphatidylcholine (C11:0/C11:0-PC) (Avanti Polar Lipids) was used as internal standard. Full-scan spectra were collected at the 500–1000 m/z range, and samples were subjected to total-ion mapping (TIM) (2 a.m.u. isolation width; pulsed-Q dissociation (PQD) to 29% normalized collision energy; activation Q of 0.7; and activation time of 0.1 ms). We redissolved permethylated glycolipids in methanol and analyzed them as described for phospholipids, using the following parameters: full-scan spectra acquisition at the 500–2000 m/z range, TIM settings at the 700–900 m/z range, 2 a.m.u. isolation width; PQD to 32% normalized collision energy; activation Q of 0.7; and activation time of 0.1 ms. All MS/MS spectra were analyzed manually, as described (Pulfer and Murphy 2003).

SDS extraction of cell wall-associated proteins

Proteins were extracted according to Casanova and coworkers (Casanova et al. 1989), with modifications. Briefly, a lyophilized cell wall preparation (100 mg) was incubated twice for 5 min at 90 °C in a solution containing 100 mM Na-EDTA, 50 mM Tris-HCl, pH 7.8 and 2% SDS. The SDS extracts were collected by centrifugation and filtrated through a sterile 0.22-micron filter. The filtered extract was incubated in ice-cold acetone (1 h at −20 °C), centrifuged for 30 min (16,000 × g at 4 °C) and the protein pellet was removed, washed in acetone and dried.

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis

Protein digestion was carried out as described by Russell and coworkers (Russell et al. 2001). After denaturation at 95 °C for 5 min in buffered methanol/50 mM NH4HCO3 (60:40, v/v), proteins were incubated in 5 mM dithiotreitol (DTT) for 30 min at 37 °C for disulfide bond reduction and cysteine residues were alkylated with 10 mM iodoacetamide (90 min at room temperature in the dark). Proteolytic digestion was achieved by overnight incubation at 37 °C with 1 µg sequencing-grade trypsin (Promega), and 0.05% of trifluoroacetic acid (TFA) was added to stop the reaction. In-house POROS R2 microcolumns (Nakayasu et al. 2012) were used for desalting the ensuing peptides, which were then dried in a vacuum concentrator until the LC-MS/MS analysis.

LC-MS/MS analysis and peptide validation

We dissolved tryptic peptides in 20 µL 0.1% formic acid (FA), and loaded 5 µL of the mixture onto a reversed-phase trap column (1 cm × 75 µm, Luna C18, 5 µm, Phenomenex). LC was performed in a capillary reversed-phase column (20 cm × 75 µm, Luna C18, 5 µm, Phenomenex) coupled to a nanoHPLC (1D Plus, Eksigent), exactly as previously described (Vallejo et al. 2012a). Elution of bound peptides was carried out in a linear gradient (5% to 40%) of solvent B [solvent A: 5% acetonitrile (ACN)/0.1% FA; solvent B: 80% ACN/0.1% FA] over 200 min and directly analyzed in a linear ion trap-mass spectrometer equipped at the front end with a TriVersa NanoMate nanospray source. The nanospray was set at 1.45 kV and 0.25 psi N2 pressure using a chip A (Advion). MS spectra were collected in centroid mode at the 400–1700 m/z range and the ten most intense ions were subjected twice to collision-induced dissociation (CID) with 35% normalized collision energy, before being dynamically excluded for 60 s.

Using Bioworks v.3.3.1 (Thermo Fisher), we initially converted into DTA files all MS/MS spectra from peptides bearing 800 to 3,500 Da (over 10 counts) and at least 15 fragments. DTA files were subsequently submitted to database search using TurboSequest (Bioworks 3.3.1, Thermo Fisher Scientific). Sequence information from the C. neoformans var. grubii H99 genome (http://www.broadinstitute.org/annotation/genome/cryptococcus_neoformans/MultiHome.html), human genome (International Protein Index), besides porcine trypsin sequences (GenBank), were used in the correct and reverse orientations. The database search parameters included: i) trypsin cleavage in both peptide termini with one missed cleavage site allowed; ii) carbamidomethylation of cysteine residues as a fixed modification; iii) oxidation of methionine residues as a variable modification; and iv) 2.0 Da and 1.0 Da for peptide and fragment mass tolerance, respectively. TurboSequest outputs were filtered with DCn ≥ 0.05, peptide probability ≤ 0.05, and Xcorr ≥ 1.5, 2.0, and 2.5 for singly-, doubly-, and triply-charged peptides, respectively. Files were then exported into XML formats and peptide sequences were assembled into proteins using an in house written script (Nakayasu et al. 2012). Redundant protein hits were assembled into protein groups and protein hits were re-filtered with the sum of peptide Xcorr ≥ 3.0. The false-discovery rate (FDR) was estimated as described previously (Rodrigues et al. 2008, Albuquerque et al. 2008). Proteins with shared peptides were assembled into groups to assess the redundancy issue. Only proteins detected by five or more spectral counts were considered for further analysis.

Bioinformatic analysis

Protein sequences were submitted to Blast2GO algorithm http://www.blast2go.de/ (Conesa et al. 2005) and classified by Gene Ontology (GO) according to their biological functions. Putative secretory proteins were classified according to the Fungal Secretome Database (FSD; http://fsd.snu.ac.kr/)(Choi et al. 2010), and were labeled as not classified, SP (containing signal peptide identified by SignaIP 3.0), SP3 (bearing signal peptide predicted by SigPred, SigCleave or RPSP), SL (subcellular localization predicted by PSort II and/or Target 1.1b), and NS (nonclassical secretion, predicted by SecretomeP 1.0f). Identification of orthologous proteins was performed manually or using the OrthoMCL software v2.0 (http://www.orthomcl.org/cgi-bin/OrthoMclWeb.cgi), with percentage match cutoff = 50 and E- value exponent cutoff = −5.

RESULTS

We carried out lipidomic and proteomic analysis of cell wall components from the acapsular mutant C. neoformans cap 67 by ESI-MS/MS and LC-MS/MS, respectively. Before specific extraction procedures, cell wall pellets were enriched and separated from membrane contaminants through sucrose density centrifugation (Kanetsuna et al. 1969), followed by exhaustive washes in water (for lipid extraction) (Previato JO 1979) or decreasing salt concentration (for protein extraction) (Pitarch et al. 2002), as detailed in Materials and Methods.

ESI-MS/MS analysis of cell wall phospholipids

Phospholipids from the acapsular mutant C. neoformans cap 67 cell wall preparations were analyzed by ESI-MS/MS in the positive- and negative-ion modes (Table 1). The full-scan spectra profile comprised a broad range of mass to charge ratio (m/z), suggesting the presence of phospholipid species from different classes (not shown). The identification of phospholipid species was performed exactly as in previous works from our group focusing on P. brasiliensis extracellular vesicles and cell wall lipids (Vallejo et al. 2012b, Longo et al. 2013a). Briefly, we first searched positive- and negative-ion modes for diagnostic fragment ions and neutral losses exclusive of phospholipids. Then, we looked for specific peaks and losses to identify phospholipid classes. In the negative-ion mode, phospholipid species were identified with chlorine (Cl) ([M + Cl]) or formate (HCOO) ([M + HCOO]) adducts. In the positive-ion mode, phosphatidylcholine (PC) species were identified with adduct of Li+ ([M + Li]+) or singly protonated ([M + H]+). Fatty acid chains were also identified by neutral fragment losses (positive ion-mode, Fig. S1) or by the negatively charged carboxylate ions at m/z 255 (C16:0), 279 (C18:2), and 281 (C18:1) (Fig. S2–S6).

Table 1.

Composition of phospholipids extracted from C. neoformans cap67 cell wall preparations as identified by ESI-MS total-ion mapping

Phospholipid/Ionmode Ionspecies m/z Proposed
composition
Predicted
mass (Da)
Phosphatidylethanolamine (PE)

(−) [M−H] 478.4 lyso C18:1 479.3

(−) [M−H] 476.4 lyso C18:2 477.3
(−) [M + Cl] 534.4

(−) [M−H] 716.6 C16:0/C18:1 717.5
(−) [M + Cl] 774.7

(−) [M−H] 714.7 C16:0/C18:2 715.5

(−) [M−H] 740.7 C18:1/C18:2 741.5
(−) [M + Cl] 798.6
(−) [M + HCOO] 808.6

(−) [M−H] 742.6 C18:1/C18:1 743.5
(−) [M + Cl] 800.6
(−) [M + HCOO] 810.6

Phosphatidylcholine (PC)

(−) [M + HCOO] 802.6 C16:0/C18:2 758.6
(+) [M + Li]+ 764.8

(−) [M + Cl] 821.7 C18:1/C18:1 786.6
(+) [M + Li]+ 793.7

(+) [M + Li]+ 766.6 C16:0/C18:1 760.6

(+) [M + Li]+ 768.7 C16:0/C18:0 762.6

(+) [M + Li]+ 790.3 C18:1/C18:2 784.6

(+) [M + Li]+ 794.7 C18:0/C18:1 788.6

PhosphatidicAcid (PA)

(−) [M−H] 671.5 C16:0/C18:2 672.5

(−) [M−H] 673.5 C16:0/C18:1 674.5
(−) [M + Cl] 731.6

(−) [M−H] 695.5 C18:2/C18:2 696.5

(−) [M−H] 697.6 C18:1/C18:2 698.5
(−) [M + Cl] 755.6

(−) [M−H] 699.5 C18:1/C18:1 701.0
(−) [M + HCOO] 767.6

Phosphatidylserine (PS)

(−) [M−H] 758.6 C16:0/C18:2 759.5

(−) [M−H] 760.6 C16:0/C18:1 761.5

(−) [M−H] 784.5 C18:1/C18:2 785.5

(−) [M−H] 786.8 C18:1/C18:1 787.5

Phosphatidylinositol (PI)

(−) [M−H] 835.7 C16:0/C18:1 836.5

(−) [M−H] 833.8 C16:0/C18:2 834.5

Phospholipid species of the PE (six), PC (two), PA (five), PS (four), and PI (two) classes were detected at m/z ranges between 477.3 and 836.5 in the negative-ion mode, and six PC species were identified between m/z 758.6 and 788.6 in the positive-ion mode (Table 1). Among the identified PE species, two of them showed only one fatty acid, lyso-C18:1-PE (m/z 478.4) and lyso-C18:2-PE (m/z 476.4 and m/z 534.4).

ESI-MS/MS analysis of cell wall glycolipids

Neutral glycolipids were extracted from cell wall preparations of the acapsular mutant C. neoformans cap 67, isolated in a silica-60 column, permethylated, and subjected to a positive-ion mode ESI-MS/MS analysis (Fig. 1). Fig. 1A shows peaks of two major glycolipid species detected in full-scan spectra at m/z 876.8 and 874.7, which were further characterized by the MS/MS analysis. Glycolipid species were identified as previously reported (Vallejo et al. 2012b, Longo et al. 2013a) by diagnostic fragment ions and specific neutral losses. A C18:0 [azirine-h18:0Me2 – H3COH + H]+ or C18:1 [azirine-h18:1Me2 – H3COH + H]+ fatty acid attached to a remnant of the sphingoid base could be identified at m/z 322.4 and 320.4 fragment ions, respectively in Hex-C18:0-OH/d19:2-Cer (at m/z 876.8) (Fig. 2B) and Hex-C18:1-OH/d19:2-Cer (at m/z 874.7) (Fig. 1B and S7). Although the MS/MS analysis is not able to indicate the unsaturation or the methyl and hydroxyl group positions in the sphingoid base, we believe that the main neutral glycolipid here identified is N-2’-hydroxyoctadecanoate (4E, 8E)-9-methyl-4,8-sphingadienine (m/z 876.8), previously described as the major cryptococcal glycosphingolipid (GSL) and abundantly localized at the fungal cell wall (Rodrigues et al. 2000).

Fig. 1.

Fig. 1

ESI-MS analysis of neutral glycolipids from C. neoformans cap 67 mutant cell wall. A. Full-scan spectrum in the positive-ion mode. The m/z of identified glycolipids Hex-C18:1-OH/d19:2-Cer (m/z 874.7) and Hex-C18:0-OH/d19:2-Cer (m/z 876.8) are circled. B. Tandem-MS spectrum of the major glycolipid species identified (m/z 876.8). m/z, mass to charge ratio.

Fig. 2.

Fig. 2

Functional categorization of cell wall-associated proteins from C. neoformans cap 67 mutant. Values represent the percentages relative to all identified proteins.

LC-MS/MS analysis of C. neoformans cap 67 cell wall-associated proteins

Before protein extraction, cell wall preparations were extensively washed in solutions with decreasing concentrations of NaCl in order to remove proteins that might be non-specifically bound to the cell wall preparation during cell lysis. We used two sequential extractions with boiling SDS, which is supposed to release proteins loosely bound to the fungal surface (Casanova et al. 1989). In order to make our analysis more reliable, we used an arbitrary and stringent cut-off corresponding to proteins detected by five or more spectral counts. Using this criterion, a total of 192 proteins belonging to different metabolic processes were identified (Table S1). Proteins belonging to the most represented biological processes are listed in Table 2.

Table 2.

Cell wall-associated proteins identified in C. neoformans cap67 cell wall preparations. The proteins areorganized according to GO functions. Minor and unknown functions are omitted, but can be seen in a complete Supplemental Table 1.

Codenumber* Proteinname CW** EV**
Transport
CNAG_02817 GTP-binding protein ypt2 - CnHcPbSc
CNAG_02974 voltage-dependent anion channel protein 2 Af Cn
CNAG_04851 transitionalendoplasmicreticulumATPase Ca Pb HcSc
CNAG_04904 clathrin heavy chain - -
CNAG_06101 ADP, ATP carrier protein Ca CnHcPbSc
CNAG_06377 solute carrier family 25, member 3 - Cn
CNAG_00499 solute carrier family, member 20/29 - Hc
CNAG_06096 tricarboxylatecarrier - -
Response to stress
CNAG_00334 hsp75-like protein Af Ca Sc CnHcPbSc
CNAG_01727 hsp71-like protein Af Ca Sc CnHcPbSc
CNAG_01750 hsp72-like protein Ca Sc CnHcPbSc
CNAG_03891 hsp60-like protein Ca Pb CnHcPbSc
CNAG_05199 chaperoneDnaK Af Ca HcPbSc
CNAG_06150 hsp90-like protein Af Ca PbSc CnHcPbSc
CNAG_06208 heat shock 70kDa protein 4 Af Ca PbSc HcPbSc
CNAG_06443 glucose-regulatedprotein Ca Sc CnHcPbSc
ATP biosyntheticprocess
CNAG_01004 ATP synthase F1, delta subunit - CnHcPb
CNAG_04439 V-type proton ATPase subunit B - CnSc
CNAG_05750 ATP synthase subunit alpha, mitochondrial Ca Pb CnHcPbSc
CNAG_05918 ATP synthasesubunit beta, mitochondrial Ca Pb CnHcPbSc
CNAG_06400 proton-efflux P-type ATPase Ca Sc CnHcPbSc
CNAG_02326 V-type proton ATPase catalytic subunit A - HcSc
Translation
CNAG_00034 largesubunitribosomalprotein L9e - CnPbSc
CNAG_00096 small subunit ribosomal protein S3 - HcPbSc
CNAG_00640 small subunit ribosomal protein S4-A Ca CnHcSc
CNAG_00656 largesubunitribosomalprotein L7e Ca Sc CnPbSc
CNAG_00672 small subunit ribosomal protein S9 Sc CnHc
CNAG_01628 small subunit ribosomal protein S20 Ca Sc CnHc
CNAG_01024 large subunit ribosomal protein L18-A - Cn
CNAG_02928 largesubunitribosomalprotein L5e Ca Sc CnHcPbSc
CNAG_00779 largesubunitribosomalprotein L27e Sc CnHc
CNAG_00952 smallsubunitribosomalprotein S6e Ca HcSc
CNAG_00953 smallsubunitribosomalprotein S13e Ca CnPbSc
CNAG_01884 large subunit ribosomal protein L3 Ca Sc CnHcPb
CNAG_01486 large subunit ribosomal protein L15-A Ca PbSc CnSc
CNAG_01951 small subunit ribosomal protein S22-A - CnHcSc
CNAG_02144 large subunit ribosomal protein L1-A - CnHcPb
CNAG_02234 largesubunitribosomalprotein L6e Ca Pb Cn
CNAG_02331 small subunit ribosomal protein S9 Ca Cn
CNAG_03000 smallsubunitribosomalprotein S19e Ca Cn
CNAG_03053 large subunit ribosomal protein L23 - CnSc
CNAG_03198 smallsubunitribosomalprotein S8e Ca CnSc
CNAG_03510 largesubunitribosomalprotein L36e - HcPb
CNAG_03577 large subunit ribosomal protein LP0 AfPbSc HcSc
CNAG_03739 large subunit ribosomal protein L10-like Ca Sc CnHcSc
CNAG_03780 small subunit ribosomal protein S16 Ca CnSc
CNAG_04004 small subunit ribosomal protein S1 Ca Sc CnHcPb
CNAG_00409 large subunit ribosomal protein L37a - Cn
CNAG_04021 large subunit ribosomal protein L24 - Cn
CNAG_00494 small subunit ribosomal protein S0 Af Ca Sc CnSc
CNAG_04445 smallsubunitribosomalprotein S7e Ca Sc CnHcPbSc
CNAG_04726 large subunit ribosomal protein L18Ae Ca Cn
CNAG_04762 largesubunitribosomalprotein L4e Ca CnHcPbSc
CNAG_04799 largesubunitribosomalprotein L14e - CnPbSc
CNAG_04883 small subunit ribosomal protein S18 - CnHcPb
CNAG_00417 elongationfactor 1-gamma Pb CnPbSc
CNAG_00785 ATP-dependent RNA helicase eIF4A Af Ca Sc CnHcPbSc
CNAG_04609 argonaute - CnHc
CNAG_05555 large subunit ribosomal protein L7Ae PbSc CnSc
CNAG_06105 elongationfactor 1-alpha Ca PbSc CnHcPbSc
CNAG_06605 small subunit ribosomal protein S2 AfSc CnHcPbSc
CNAG_00689 largesubunitribosomalprotein L22e Pb Pb
CNAG_05232 large subunit ribosomal protein L8 Ca PbSc CnHcSc
CNAG_06231 large subunit ribosomal protein L13 - -
CNAG_06447 large subunit ribosomal protein L22 Ca Sc CnSc
Proteinmetabolism
CNAG_04009 aminopeptidase 2 - HcPbSc
CNAG_00150 peptidase - Cn
CNAG_00919 carboxypeptidase D Pb CnSc
CNAG_01890 5-methyltetrahydropteroyltriglutamate-homocysteine S-methyltransferase Ca PbSc CnHcPbSc
CNAG_02500 calnexin Pb Cn
CNAG_02966 carboxypeptidase - Sc
CNAG_03507 mitochondrial peptidase subunit beta - CnHc
CNAG_04604 tryptophan-tRNAligase - -
CNAG_04625 cerevisin Ca Pb CnHcPbSc
CNAG_05725 ketol-acidreductoisomerase, mitochondrial Ca CnHcSc
CNAG_05932 peptidyl-prolylcis-transisomerase D Pb HcPb
CNAG_06026 aspartateaminotransferase Pb HcPbSc
CNAG_06088 aspartateaminotransferase, mitchondrial - -
CNAG_00136 ubiquitin-activatingenzyme E1 - Sc
CNAG_05722 alanine-tRNAligase Sc Sc
CNAG_04906 26S protease regulatory subunit 10B - -
CNAG_05886 ubiquitin-conjugatingenzyme E2 Pb -
CNAG_06755 threonine-tRNAligase - Sc
Carbohydratemetabolism
CNAG_00061 citratesynthase, mitochondrial Ca CnHcPbSc
CNAG_00937 aconitatehydratase, mitochondrial Ca Pb HcPbSc
CNAG_00964 glutamine-fructose-6-P transaminase - -
CNAG_01820 pyruvatekinase Ca Sc CnHcSc
CNAG_01896 alcoholdehydrogenase Ca Pb CnPbSc
CNAG_01984 transaldolase Ca Sc CnHcPbSc
CNAG_02035 triose-phosphateisomerase Ca Sc HcPbSc
CNAG_02818 glycine cleavage system T protein - CnHc
CNAG_03072 enolase Af Ca PbSc CnPbSc
CNAG_03225 malatedehydrogenase, NAD-dependent Ca CnHcPbSc
CNAG_03358 phosphoglyceratekinase Af Ca Sc CnHcPbSc
CNAG_03525 alpha, alpha-trehalase - -
CNAG_03674 oxoglutaratedehydrogenase, E1 - Hc
CNAG_03725 dTDP-4-dehydrorhamnose reductase Pb Cn
CNAG_04640 ATP-citrate synthase subunit 1 - CnHcSc
CNAG_04659 pyruvatedecarboxylase Ca PbSc CnSc
CNAG_04969 UDP-glucose 6-dehydrogenase - Cn
CNAG_05653 malatesynthase A - CnHcSc
CNAG_05907 pyruvatecarboxylase - CnHcSc
CNAG_06313 phosphoglucomutase Ca Pb HcPbSc
CNAG_06666 starchphosphorylase - Cn
CNAG_06699 glyceraldehyde-3-phosphate dehydrogenase Af Ca PbSc CnHcPbSc
CNAG_06770 fructose-bisphosphatealdolase 1 Ca PbSc HcPbSc
CNAG_05351 phosphomannomutase Sc HcSc
CNAG_02748 UTP-glucose-1-Puridylyltransferase Ca CnSc
CNAG_04217 phosphoenolpyruvatecarboxykinase Pb HcSc
CNAG_06501 1,3-beta-glucanosyltransferase Ca PbSc CnHcSc
Lipidmetabolism
CNAG_02099 fatty acid synthase subunit beta, fungi type - HcSc
CNAG_02100 fatty acid synthase subunit alpha, fungi type Sc CnSc
CNAG_02562 acyl-CoAdehydrogenase - -
CNAG_04308 3-hydroxyacyl-CoA dehydrogenase - Hc
CNAG_04869 carboxylesterase - Cn
CNAG_07004 dihydrolipoyldehydrogenase - CnPbSc
Nucleicacidmetabolism
CNAG_01395 ribose-5-phosphate isomerase Ca Pb
CNAG_00165 methylthioadenosinephosphorylase Pb Hc
CNAG_02285 nucleosidediphosphatekinase - CnHcPbSc
CNAG_04577 nucleoside-diphosphatekinase - CnHcPbSc
Oxidation/Reduction
CNAG_00452 isovaleryl-CoAdehydrogenase - Hc
CNAG_00938 cytochrome c peroxidase, mitochondrial Af Hc
CNAG_01492 hypotheticalprotein - -
CNAG_01594 glycinedehydrogenase - Hc
CNAG_01981 sulfide:quinoneoxidoreductase - -
CNAG_02399 glutathione-disulfidereductase PbSc Cn
CNAG_02801 thioredoxin Ca Pb CnSc
CNAG_03482 peroxiredoxin Ca Sc CnSc
CNAG_03618 NADPH2:quinone reductase Ca Sc HcSc
CNAG_04981 catalase Pb CnHcPbSc
CNAG_06628 aldehydedehydrogenase PbSc CnHcSc
CNAG_06917 thiol-specific antioxidant protein 3 Ca Pb CnHcPb
CNAG_00162 alternative oxidase, mitochondrial - -
CNAG_03936 NAD(P)H:quinoneoxidoreductase, type IV - PbSc
CNAG_05753 N-acetyl-gamma-glutamyl-Preductase - -
CNAG_05721 multifunctional beta-oxidation protein - Hc
CNAG_05069 ubiquinol-cytochrome c reductase sub. 10 - -
CNAG_06431 acyl-CoA oxidase - -
Signaling
CNAG_01523 CMGC/MAPK/P38 protein kinase - Sc
CNAG_05235 protein BMH2 Ca PbSc CnHcPbSc
CNAG_05465 guanine nucleotide-binding protein Af Ca PbSc HcSc
Nucleosomeassembly
CNAG_06745 histone H3 - -
CNAG_06746 histone H2B Ca Pb CnHcPbSc
Cytoskeleton
CNAG_00483 actin Ca PbSc CnHcPbSc
CNAG_01840 tubulin beta chain - CnPbSc
CNAG_03787 tubulin alpha-1A chain Ca Cn
CNAG_04948 tubulin beta - -
*

Proteins were classified by the Fungal Secretome Database (FSD) into NS (nonclassical secretion, predicted by SecretomeP 1.0f) (dark gray code number), SP or SP3 (containing signal peptide identified by SignaIP 3.0, SigPred, SigCleave or RPSP) (light gray code number) and not classified as secretory (white code number).

**

Orthologs previously reported in cell wall (CW) or extracellular vesicles (EV) from H. capsulatum (Hc), P. brasiliensis (Pb), S. cerevisiae (Sc), C. albicans (Ca), and A. fumigatus (Af) are indicated.

We analyzed the biological processes related to the identified proteins using the Blast2GO algorithm (Conesa et al. 2005). Proteins involved in diverse cellular processes were found (Fig. 2), but translation (22%) and carbohydrate metabolism (14%) were the most represented, followed by oxidation/reduction (9%), protein metabolism (9%), transport (4%), and response to stress (4%).

Translation was the most enriched process, in which ribosomal proteins from large and small ribosome subunits prevailed. In addition, two elongation factors (CNAG_00417 and CNAG_06105), a helicase (CNAG_00785), and an argonaute protein (CNAG_04609) were identified. The carbohydrate metabolism group comprised some metabolic enzymes, such as phosphomannomutase (CNAG_05351) and pyruvate kinase (CNAG_01820). We also point out the presence of a 1,3-beta-glucanosyltransferase (CNAG_06501), related to cell wall biosynthesis/remodeling. Some proteins were associated with response to stress and oxidation/reduction, which may potentially account for fungal virulence by playing specific roles in infection. In these groups we identified several heat shock proteins (CNAG_00334, CNAG_01727, CNAG_01750, CNAG_03891, CNAG_06150 and CNAG_06208), a peroxiredoxin (CNAG_03482), and a catalase (CNAG_04981).

Although many proteins identified in this work are typically cytoplasmic, such as ribosomal and carbohydrate metabolic proteins, almost 60% of them have previously been described at the cell surface of other fungal species as well (Table 2; Rodrigues et al. 2013).

Considering the importance of protein export to the extracellular environment in modulating the host-pathogen relationship, we used the Fungal Secretome Database (FSD) to classify proteins identified in this work according to their secretory features. FSD gathers information from nine secretion prediction programs for a number of fungal genomes, comprising classical and unconventional secretory mechanisms (Choi et al. 2010). The majority of identified proteins were classified as secretory (56%), being 44% via nonclassical (NS) mechanisms, therefore lacking secretory known signals (Fig. 3A).

Fig. 3.

Fig. 3

Characterization of cell wall-associated proteins from C. neoformans cap 67. A. Secretory potential classified by the Fungal Secretome Database (FSD): SP (presence of signal peptide as identified by SignaIP 3.0); SP3 (signal peptide predicted by SigPred, SigCleave or RPSP); SL (subcellular localization predicted by PSort II and/or Target 1.1b); NS (nonclassical secretion, predicted by SecretomeP 1.0f), and not classified (described as not secretory). B. Percentage of fungal orthologs previously reported in the cell wall (CW), extracellular vesicles (vesicle), both locations (CW+vesicle), or in neither of these compartments (ND).

We then questioned whether orthologs of the proteins identified in this work have been previously reported in fungal extracellular vesicles or cell wall. Fungal extracellular vesicles constitute an unconventional pathway for cytoplasmic components to reach the cell wall and the extracellular milieu, as already described for C. neoformans (Rodrigues et al. 2008, Wolf et al. 2014), Histoplasma capsulatum (Albuquerque et al. 2008), S. cerevisiae (Oliveira et al. 2010), P. brasiliensis (Vallejo et al. 2012a), and Malassezia sympodialis (Gehrmann et al. 2011). Using the OrthoMCL software, we found that 86% of the identified proteins in this work have been previously reported in fungal extracellular vesicles and/or cell wall (Fig. 3B). Proteins such as hsp90-like (CNAG_06150), ATP-dependent RNA helicase eIF4A (CNAG_00785), and enolase (CNAG_03072) have previously been described in extracellular vesicles and cell wall from several fungal species (Table 2).

DISCUSSION

In the present work we described the structure of phospholipids, neutral glycolipids, and the nature of non-covalently linked proteins extracted from purified cell wall preparations obtained from the acapsular C. neoformans mutant cap 67.

In our cell wall sample, PE and PC were the most represented C. neoformans cap 67 phospholipid classes, each one composed by six species, followed by PA (five species), PS (four species), and PI (two species). Recently, cell wall lipidome of the dimorphic pathogen P. brasiliensis also showed that PC and PE are the phospholipid classes comprising more species in the yeast form (Longo et al. 2013a). Overall, phospholipids from both pathogen cell walls were similar, except for phosphatidylglycerol (PG) that was identified only in P. brasiliensis. Previously, PC has been described as a major cryptococcal membrane phospholipid (Rawat et al. 1984) that has also been identified in the fungal extracellular vesicles (Oliveira et al. 2009). On the other hand, whole phospholipid analysis of extracellular vesicles identified PE, PS, and PC species in H. capsulatum (Albuquerque et al. 2008) and PC, PE, PS, PI, and PG in P. brasiliensis (Vallejo et al. 2012b).

We were able to identify two species of neutral GSLs, specifically Hex-C18:0-OH/d19:2-Cer (m/z 876.8), the most abundant, and Hex-C18:1-OH/d19:2-Cer (m/z 874.7). Considering that our strategy allows extraction of only neutral glycolipids, the presence of acidic GSLs at the cell wall cannot be discarded. Hex-C18:0-OH/d19:2-Cer (m/z 876.8) has previously been identified as a major ceramide monohexoside (CMH) in whole C. neoformans lipid extracts (Rodrigues et al. 2000). Since glucose is the hexose identified in this CMH, we believe that the neutral glycolipids presently characterized are also β-glucosylceramide (GlcCer) species. GlcCer has already been detected in cell wall extracts from P. brasiliensis (Longo et al. 2013a) and C. albicans (Thevissen et al. 2012). It has also been localized by a monoclonal antibody at the surface of P. brasiliensis, H. capsulatum, Sporothrix schenckii yeasts, and mycelia from P. brasiliensis, and Aspergillus fumigatus (Toledo et al. 2001, Longo et al. 2013a). In C. neoformans, transmission electron microscopy images showed GlcCer abundantly distributed along the cell wall, and confocal microscopy revealed GlcCer accumulation in budding sites, correlating with thickened regions of the cell wall (Rodrigues et al. 2000). Identification of this CMH in the lipidome of our cell wall preparation was used as a marker for cell wall enrichment.

In C. neoformans, GlcCer is involved in fungal budding, growth, and pathogenicity (Rodrigues et al. 2000, Rittershaus et al. 2006). It also plays a role in A. fumigatus growth (Noble et al. 2010) and C. albicans virulence (Chattaway et al. 1968). In addition to cell wall localization, GlcCer species have been identified in extracellular vesicles from P. brasiliensis (Vallejo et al. 2012b) and C. neoformans (Rodrigues et al. 2007).

Comparison of the cell wall phospholipids, GSLs, and non-covalently bound proteins (discussed below) here identified in C. neoformans with those described in fungal extracellular vesicles (EVs) strongly reinforces the presumption that, while traversing the cell wall towards the extracellular environment, EVs may be entrapped and release their components, thus participating in the fungal cell wall composition either as transient or as permanent constituents (Longo et al. 2014). The role of EVs in the transportation of virulence factors through the cell wall to the external milieu has already been recognized (Casadevall et al. 2009) and in C. neoformans EVs also traverse the capsule and participate in its synthesis by releasing GXM that can then be incorporated to form capsule fibers (Rodrigues et al. 2007). Most cell wall-associated proteins identified here are typically cytoplasmic; however, it was interesting to find that only 14% of them have not been previously described in the surface or EVs from other fungal species. Additionally, 56% show secretory features, mostly of non-classical (NS) nature. A similar scenario has recently been reported for DTT-extractable cell wall-associated proteins in P. brasiliensis (Longo et al. 2014). Non-classical (NS) secretion includes exportation mechanisms using extracellular vesicles originated from plasma membrane blebbing, exosome release (Rodrigues et al. 2011, Nickel 2010), and the recently proposed biogenesis through cell membrane invagination (Rodrigues et al. 2013). These mechanisms result in membrane and cytoplasmic subtractions, thus helping to justify the finding of some components at the cell wall.

We identified 192 non-covalently bound cell wall proteins related to translation, carbohydrate and protein metabolism, and oxidation/reduction. Although C. neoformans cell wall is not the outermost fungal structure because it is surrounded by a polysaccharide capsule, its components probably play important roles in the host-pathogen relationship, as already reported in other species (Gow and Hube 2012). Proteins isolated from C. neoformans cell wall and membrane stimulated lymphocyte proliferation from both adults and fetal cord blood, and that may account for cell-mediated immunity to this fungus (Mody et al. 1996). Some presently identified proteins may potentially contribute to fungal virulence by playing specific roles in infection, specially those related to response to stress and oxidation/reduction, as exemplified by heat shock proteins, a thioredoxin (CNAG_02801), and a catalase (CNAG_04981).

Tefsen and coworkers (Tefsen et al. 2014) showed that the C. neoformans inactivation of the CAP10 genes, which impairs the polysaccharide capsule formation, leads to enlarged cells prone to aggregation and upregulation of various genes, mainly related to oxidative stress. Some resulting proteins are cell wall-associated according to our present analysis, for e.g., thiol-specific antioxidant protein 3 (CNAG_06917) and peroxiredoxin (alkyl hydroperoxide reductase subunit C) (CNAG_03482), also known as thiol-specific antioxidant protein 1 (Tsa1). Tsa1 has already been detected by confocal microscopy on C. albicans surface of the pathogenic hyphal phase and was shown to be related to oxidative stress resistance and correct cell wall composition (Urban et al. 2003). Tsa1 has been identified among proteins from C. albicans and P. brasiliensis cell wall preparations (Table 2) and we have localized it by confocal microscopy at the P. brasiliensis yeast surface (Longo et al. unpubl. data).

Recognition of cell wall proteins by immune cells or antibodies can interfere in the host immune response (Gow et al. 2012). Many proteins presently identified at the C. neoformans cell wall proteins have also been identified in P. brasiliensis cell wall extracts from live cells (Table 2). Some are antigenic and recognized by paracoccidioidomycosis (PCM) patients’ sera, such as hsp60-like protein (CNAG_03891) (Cunha et al. 2002), heat shock 70 kDa protein 4 (CNAG_06208) (Bisio et al. 2005), triose-phosphate isomerase (TPI) (CNAG_02035), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH)(CNAG_06699) (da Fonseca et al. 2001). Vaccination using Hsp60 induced protective cellular immune response against experimental pulmonary PCM (de Bastos Ascenco Soares et al. 2008), while in H. capsulatum it is involved in fungal attachment to macrophage CD11/CD18 receptors (Long et al. 2003). Importantly, TPI, GAPDH and Hsp60 are predicted adhesins in several fungal species (Chaudhuri et al. 2011) and may prompt fungal invasion. Enolase (CNAG_03072) can bind and activate plasminogen to plasmin, a serine protease involved in P. brasiliensis invasion to host tissues (Nogueira et al. 2010). In C. albicans, cell wall enolase and TPI can bind to human kininogen, a kinin precursor related to human host response to microbial infections (Karkowska-Kuleta et al. 2011).

Overall, the present work improves our knowledge about the poorly studied C. neoformans cell wall, opening doors to understanding its possible roles in fungal biology and pathogenesis. In addition, comparisons of the proteomic and lipidomic data with those from fungal EVs support the idea that these structures are at least partially responsible for adding components to the cell wall (Rodrigues et al. 2011).

Supplementary Material

Supp FigureS1-S7 & TableS1

ACKNOWLEDGMENTS

We are grateful to Marcio L. Rodrigues, Leonardo Nimrichter, and Luiz R. Travassos for discussion. We thank Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) for the grant Proc. No. 2013/25950-1 and for scholarships (RPS, MCV), CAPES for the Graduation Program financial support, and CNPq for RP a productivity fellowship. ICA was partially supported by the grant 2G12MD007592 from the National Institute on Minority Health and Health Disparities (NIMHD), a component of the National Institutes of Health (NIH). FGL was supported by a fellowship from the Research Initiative for Scientific Enhancement (RISE) program (NIH/NIGMS grant # 2R25GM069621-09) at UTEP. ICA is special visiting researcher of the Ciência Sem Fronteiras (Science Without Borders) Program, Brazil. We are grateful to the Biomolecule Analysis Core Facility at the BBRC/Biology/UTEP, funded by the NIH/NIMHD grant # 2G12MD007592, for the access to the ESI-MS and LC-MS/MS instruments.

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