Figures
Abstract
Macrophages are key players during Paracoccidioides brasiliensis infection. However, the relative contribution of the fungal response to counteracting macrophage activity remains poorly understood. In this work, we evaluated the P. brasiliensis proteomic response to macrophage internalization. A total of 308 differentially expressed proteins were detected in P. brasiliensis during infection. The positively regulated proteins included those involved in alternative carbon metabolism, such as enzymes involved in gluconeogenesis, beta-oxidation of fatty acids and amino acids catabolism. The down-regulated proteins during P. brasiliensis internalization in macrophages included those related to glycolysis and protein synthesis. Proteins involved in the oxidative stress response in P. brasiliensis yeast cells were also up-regulated during macrophage infection, including superoxide dismutases (SOD), thioredoxins (THX) and cytochrome c peroxidase (CCP). Antisense knockdown mutants evaluated the importance of CCP during macrophage infection. The results suggested that CCP is involved in a complex system of protection against oxidative stress and that gene silencing of this component of the antioxidant system diminished the survival of P. brasiliensis in macrophages and in a murine model of infection.
Citation: Parente-Rocha JA, Parente AFA, Baeza LC, Bonfim SMRC, Hernandez O, McEwen JG, et al. (2015) Macrophage Interaction with Paracoccidioides brasiliensis Yeast Cells Modulates Fungal Metabolism and Generates a Response to Oxidative Stress. PLoS ONE 10(9): e0137619. https://doi.org/10.1371/journal.pone.0137619
Editor: Janet Quinn, Newcastle University, UNITED KINGDOM
Received: May 15, 2015; Accepted: August 20, 2015; Published: September 11, 2015
Copyright: © 2015 Parente-Rocha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This work at Universidade Federal de Goiás was funded by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa de Goiás (FAPEG). LCB is a post-doctoral fellow from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES/PNPD). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Paracoccidioidomycosis (PCM) is a human systemic mycosis that is restricted to Latin America, particularly Brazil, Colombia and Venezuela [1]. The disease is caused by members of the Paracoccidioides genus. These fungi are thermo-dimorphic species that grow as mycelium under saprobic conditions at 22–26°C, or as pathogenic yeast at 36°C [2]. The saprobic form lives in the soil and reaches the lung alveoli upon the inhalation of spores or mycelia fragments by the host, where they interact with epithelial cells and alveolar macrophages [3]. The fungus converts to the yeast pathogenic form at body temperature [4].
Macrophages constitute one of the primary defense mechanisms against infection by P. brasiliensis; thus, PCM is considered to be a classic granulomatous disease [5,6]. As a facultative intracellular pathogen, P. brasiliensis can persist inside macrophages. Microscopic studies showed that P. brasiliensis multiplied intracellularly in macrophages and this could be a factor in pathogenicity [5,6,7,8].
A characteristic of macrophages is the production of copious amounts of oxidants during the respiratory burst process [9]. The oxidative burst, a reaction characterized by increased oxygen uptake and ROS (reactive oxygen species) production, challenges parasite viability [10]. The most important ROS and RNS (reactive nitrogen species) generated inside the phagolysosome are nitric oxide (NO•), peroxynitrite (ONOO-), superoxide anion radical (O2-•), and hydroxyl radical (•OH) [11]. In particular, the success of pathogens is based on their resistance to nitrosative and oxidative stresses, and other environmental attacks [12]. During the infection process, Paracoccidioides spp. can cope with the RNS and ROS generated during the respiratory burst of phagocytic cells, as suggested by the arsenal of related transcripts [13]. Indeed, members of the Paracoccidioides spp. complex express a powerful antioxidant defense system in the presence of ROS-mediated oxidative stress [14]. Proteomic analysis demonstrated that the fungus presented a global activation of antioxidant enzymes, such as catalases, superoxide dismutases, cytochrome c peroxidase and thioredoxin when exposed to H2O2. The activation of the pentose phosphate pathway, a great source of cellular reducing power in the form of NADPH, suggested that there was a shift in the metabolism of yeast cells [14]. Response to nitrosative stress was also evaluated in Paracoccidioides sp. [15]. In this sense, a RNA approach to silence the gene encoding cytochrome c peroxidase depicted mutants highly sensitive to nitrosative stress [15]. Enzymes acting in the oxidative stress response also played a role in the nitrosative stress. Additionally, we demonstrated that carbon starvation exerted a strong effect on Paracoccidioides sp.. This stress, which is presumably similar to that found in the macrophage environment, evoked a shift to a starvation mode as determined at the transcriptional and proteomic levels. The metabolic alterations included an increase in gluconeogenesis and fermentative ethanol production, activation of fatty acids and amino acid degradation; these strategies are likely used by the pathogen to persist under this type of stress [16].
As described above, studies have begun to elucidate the complex transcriptional and translational programs that Paracoccidioides spp. use to survive when exposed to host-like conditions [14,15,16]. Tavares and co-workers (2007) showed that P. brasiliensis regulated the expression of 119 classified genes during phagocytosis; these genes were primarily associated with glucose and amino acid limitation, cell wall construction and oxidative stress [17].
One method for analyzing the P. brasiliensis-macrophage encounter should be the identification of alterations in the proteome, as the fungus is undergoing phagocytosis. In this way, in the present study, we assessed the response of P. brasiliensis to macrophage phagocytosis by employing high throughput proteomic analysis. The importance of the regulated proteins for the survival of P. brasiliensis within macrophages was inferred. This study demonstrated that the knockdown of cytochrome c peroxidase resulted in decreased survival of P. brasiliensis inside macrophages and affected fungal survival in the liver and spleen of infected mice.
Materials and Methods
Fungal strains and growth conditions
P. brasiliensis isolates Pb18 [18] and Pb339 [19] in the yeast form were used in this work. The yeast cells were cultivated in BHI medium, containing 4% glucose (w/v) for 48 h at 36°C under agitation.
Interaction assay of P. brasiliensis and J774 1.6 macrophage cells
J774 1.6 macrophages (Rio de Janeiro Cell Bank—BCRJ/ UFRJ, accession number 0273) were used for the phagocytosis assays. The J774 1.6 cells were cultured in RPMI medium containing bovine fetal serum 10% (v/v) and MEM non-essential amino acid solution (Sigma Aldrich, Missouri, USA) at 36°C and 5% CO2 until completely confluence. The phagocytosis assay was performed in 12-well polypropylene plates (Greinner Bio-One, USA). A total of 106 J774 1.6 macrophages were plated per well in RPMI medium containing IFN-γ (1U/mL) (Sigma Aldrich) and incubated for 24 h at 36°C and 5% CO2 for adherence and activation. Then, the medium was replaced to a fresh RPMI medium containing IFN-γ (1U/mL) and 5x106 Pb18 yeast cells per well were added to the macrophages, resulting in a yeast:macrophage cell ratio of 5:2, since the doubling time for J7741.6 cells is around 20-24h. The cells were incubated for 24 h at 36°C and 5% CO2. Then, macrophages were lysed with water and fungal cells recovered. The control condition was obtained by incubating 5x106 yeast cells per well in RPMI medium containing IFN-γ (1U/mL) for 24 h at 36°C and 5% CO2.
Evaluation of phagolysosome maturation
The maturation of phagolysosomes was assessed using the Lysotracker probe red DND99 (Life Technologies Carlsbad, USA) according to the manufacturer’s instructions. Briefly, the macrophage cells were labeled with 75 nM of the Lysotracker probe for 60 min, prior to fungal infection, to avoid labeling of P. brasiliensis cells. The interaction assay of J774 1.6 macrophages with P. brasiliensis was performed as described, in a 6-well polypropylene plate, with cover slip. After, the cells were washed three times with sterile phosphate buffered saline (PBS), and incubated with 2 mg/mL of fluorescent brightener (Calcofluor white M2R, Sigma Aldrich) for 1 h, to label the fungal cells. Macrophage J774 1.6 cells were used as the control. The cover slips were fixed with 4% paraformaldehyde (Sigma Aldrich) for 1 h, washed three times with sterile PBS removed and photographed at bright field, at 579/599 nm for Lysotracker and at 395/420 nm for Calcofluor White, using an Axioscope A1 fluorescence microscope (Carl Zeiss).
Preparation of protein extracts
The interaction assay of P. brasiliensis yeast cells with macrophages was performed as described above. Then, the cells were washed three times with PBS and the macrophages were lysed by the addition of sterile water. The lysates were centrifuged at 8,000 x g for 10 min. The obtained pellet containing P. brasiliensis yeast cells was washed three times with water. The pellet was ressuspended in a solution containing 20 mM Tris-HCl, pH 8.8, and 2 mM CaCl2 [20], and the protein extraction was performed in BeadBeater equipment (BioSpec, Bartlesville, USA) in tubes containing 200–500 μm of acid-washed glass beads (Sigma Aldrich) in equal volume of fungal pellet. Control cells were obtained by incubating P. brasiliensis yeast cells in RPMI medium. The obtained protein extracts were quantified using the Bradford reagent (Sigma Aldrich) with bovine serum albumin (BSA) (Sigma Aldrich) as the standard.
Digestion of protein extracts and nano-ESI-UPLC-MSE analyses
A total of 100 μg of each protein extract was used for trypsin digestion as previously described [21,22]. Briefly, 10 μL of 50 mM ammonium bicarbonate buffer, pH 8.5, was added to the samples, which were treated with 0.2% RapiGEST SF Surfactant (v/v) (Waters, Milford, MA, USA) and incubated in a dry bath at 80°C for 15 min. The samples were reduced with 100 mM DTT (GE Healthcare, Piscataway, NJ, USA) at 60°C for 30 min, and alkylated with 300 mM iodacetamide (GE Healthcare, Piscataway, NJ, USA) at room temperature for 30 min. Then, 20 μL of trypsin (50 ng/mL) (Promega, Madison, WI, USA) was added to digest the samples at 37°C in a dry bath for 16 h. To cleave and precipitate the RapiGEST reagent, 20 μL of trifluoroacetic acid (TFA) solution 5% (v/v) was added to the samples, followed by incubation for 90 min at 37°C. The supernatants were dried in a speed vacuum (Eppendorf, Hamburg, Germany) for 5 h. All obtained peptides were suspended in 100 μL of a solution containing 20 mM of ammonium formiate and 200 fmol/μL of PHB (Rabbit Phosphorylase B) (Waters Corporation, Manchester, UK) (MassPREP protein). Nanoscale LC separation of tryptic peptides was performed using a nanoACQUITY system (Waters) equipped with two reverse phase columns working in basic and acidic conditions. The first column was a nanoEase BEH130 C18 (1.7 μm, 100 μm x 100 mm; Waters, USA), and the second was a NanoAcquity UPLC column BEH 130 C18 (1.7 μm, 100 μm × 100 mm; Waters, USA). Mass spectrometry analysis was performed on a Synapt G1 MS (Waters, USA) equipped with a nanoelectronspray source and two mass analyzers: a quadrupole and a time-of-flight (TOF) operating in TOF V-mode. Data were obtained using the instrument in the MSE mode, which switches the low energy (6 V) and elevated energy (20–40 V) acquisition modes every 0.4 s. Samples were analyzed from three replicates.
Data processing and protein identification
The MS data obtained using the label-free MSE protocol was processed using the ProteinLynx Global Server (PLGS) version 2.4 (Waters). The data were subjected to automatic background subtraction, deisotoping and charge state deconvolution. After processing, each ion comprised an exact mass-retention time (EMRT) that contained the retention time, intensity-weighted average charge, inferred molecular weight based on charge and m/z, and the deconvoluted intensity. Then, the processed spectra were searched against Paracoccidioides brasiliensis Pb18 protein sequences (Broad Institute; http://www.broadinstitute.org/annotation/genome/paracoccidioides_brasiliensis/MultiHome.html) together with random sequences. The mass error tolerance for peptide identification was under 50 ppm. The identified proteins showed a minimum of 1 matched peptide and 5 fragments, with at least 2 fragments belonging to the same peptide. Moreover, modifications such as methionine oxidation and serine, threonine and tyrosine phosphorylation were considered. A protein that showed a variance coefficient of 0.08 and that was detected in all replicates was used to normalize the protein expression levels in the samples (accession number: PADG_11272). The comparison of protein abundance was performed based on the average intensity value of the top three ionized tryptic peptides of this internal standard protein and was used to convert the average intensity of the analyte peptides to the corresponding absolute quantity of proteins loaded onto the column. ExpressionE informatics v.2.5.2 was used for proper quantitative comparisons. The identified proteins were organized by the expression algorithm, into a statistically significant list, corresponding to induced and reduced regulation ratios between the infected and control groups. The mathematical model used to calculate the ratios was a part of the Expression algorithm inside the PLGS software from the Waters Corporation [23]. The minimum repeat rate for each protein in all replicates was 2.
Quality parameter such as the dynamic range of the experiments, peptide detection type, and mass accuracy were calculated for each condition using the software MassPivot and SpotFire as previously described [21]. Proteins that presented 50% differences in expression values compared to the control were considered to be regulated.
Construction of the cytochrome c peroxidase (CCP) knockdown mutant
The antisense-RNA (aRNA) strategy was used as previously described [24]. Briefly, DNA from Pb339 yeast cells was obtained as described [15,25] and used to obtain the aRNA of Pb339 cytochrome c peroxidase (ccp). The oligonucleotides asccp-sense 5’CCGCTCGAGCGGGATAAGGAAACTGGAACTGGAG 3’ and asccp-antisense, 5’GGCGCGCCCCTGAGAGTGACCACGCTG 3’ were synthesized to amplify aRNA from DNA (PADG_03163; Accession number obtained in the Paracoccidioides database available at http://www.broadinstitute.org/annotation/genome/paracoccidioides_brasiliensis/MultiHome.html). Plasmid construction, Agrobacterium tumefaciens transformation and transformants selection was performed as described [15]. P. brasiliensis yeast cells were also transformed with the empty parental vector pUR5750 (EV) as a control for the assays performed in this study. Investigation of Pbccp gene expression was performed after consecutive sub culturing by quantitative real-time PCR. The interaction assay of two silenced mutants (Pbccp-aRNA1 and Pbccp-aRNA2) with J774 1.6 cells was performed using a yeast:macrophage ratio of 5:1. The control cells used in this assay were yeast cells from wild type Pb339 and Pb18 yeast cells transformed with the empty vector in the same yeast:macrophage ratio. The interaction assay using the silenced mutants Pbccp-aRNA1 and Pbccp-aRNA2 and the controls was performed in triplicate. Statistical analysis was performed using Student’s t-test. Results presenting p-values < 0.01 were considered statistically significant.
Quantitative real-time PCR (qRT-PCR)
The evaluation of transcriptional levels was performed by qRT-PCR. Total RNA was extracted using Trizol (TRI Reagent, Sigma-Aldrich, St. Louis, MO, USA) and mechanical cell rupture using the Mini-Beadbeater (Biospec Products Inc., Bartlesville, OK, USA). Then, in vitro reverse transcription (SuperScript III First-Strand Synthesis SuperMix; Invitrogen, Life Technologies) was performed, and the cDNAs were subjected to qRT-PCR using the SYBR green PCR master mix (Life Technologies, Foster City, CA, USA) in the StepOnePlus real-time PCR system (Life Technologies). The expression values were calculated using the transcript encoding alpha tubulin (XM_002796593) as the endogenous control in the silencing mutation experiment and the transcript encoding beta tubulin (XM_002794440) in the P. brasiliensis interaction with macrophage cells experiment. The oligonucleotides used in the qRT-PCR to confirm the proteomic data were: beta tubulin sense: 5’-GATAACGAGGCTCTGTATGATA-3’; beta tubulin atsense: 5’ATGTTGACGGCGAGTTTGCG-3’; pbpase sense: 5’-GCCACTGGTGACTTTACCCT-3’; pbpase atsense: 5’-CATCTCCGGTGGTATTTGCG-3’; ccp RT sense: 5’-CTTTGACGACCGCGAGATTG-3’; and ccp RT atsense: 5’-GACCGTTCCACTTTCTCCAG-31.
The oligonucleotides used in the CCP silencing mutation experiments were: alpha tubulin sense: 5’-ATGAAACGGCAAATCCCACCA-3’; alpha tubulin antisense 5’- ACAGTGCTTGGGAACTATACC -3’; ccp-sense: 5’ CTTTGACGACCGCGAGATTG 3’ and ccp-antisense 5’ GACCGTTCCACTTTCTCCAG. The qRT-PCR reaction was performed in triplicate for each cDNA sample, and a melting curve analysis was performed to confirm the detection of a single PCR product. The relative standard curve was generated using a pool of cDNAs collected from all conditions serially diluted from 1:5 up to 1:125. The relative expression levels of the transcripts of interest were calculated using the standard curve method for relative quantification [26].
Evaluation of Pbccp-aRNA sensitivity to oxidative stress
The P. brasiliensis cell strain Pb339 silenced with antisense technology for cytochrome c peroxidase (Pbccp-aRNA1 and Pbccp-aRNA2) was tested for sensitivity to oxidative stress. The cells were cultured as described above. A total of 105 and 106 cells/mL were plated onto solid Fava Netto’s medium containing 40 or 80 mM menadione. A total of 105 and 106 cells/mL from Pb18 and Pb339, respectively, were plated onto solid Fava-Netto’s medium with and without menadione as a control. P. brasiliensis strain Pb339 transformed with the binary empty vector (EV) was also used as control. The plates were incubated at 36°C for 7 days.
BALB/c mouse infections
Mice were inoculated intraperitoneally with 107 P. brasiliensis yeast cells from the WT, EV and Pbccp-aRNA strains as previously described [27]. A total of 3 animals were used to each condition. After 7 days of infection, the animals were euthanized in CO2 chamber and mouse spleens and livers were removed and homogenized in 5 mL of sterile 0.9% (w/v) NaCl. The homogenized samples were plated in quintuplicate on brain heart infusion agar supplemented with 4% (v/v) fetal calf serum and 2% (w/v) glucose. The plates were incubated at 36°C, and colony forming units (CFUs) were determined after 10 days. The infection assay was performed in triplicate, and statistical analysis was performed using Student’s t-test. Results presenting p-values < 0.01 were considered statistically significant.
Results
Evaluation of phagolysosome maturation
Phagocytosis progression was evaluated by monitoring phagolysosome maturation with a lysosome marker as depicted in Fig 1. Phagolysosome maturation was observed using the Lysotracker probe to identify acidified phagolysosomes. The phagocytosis of P. brasiliensis yeast cells (Pb18 and Pb339) by J774 1.6 macrophages, induced phagolysosome maturation by acidification (Fig 1). Control was also performed with cells from these two P. brasiliensis isolates (Pb18 and Pb339). The fungal cells were visualized in Fig 1 using Calcofluor white, which does not stain J774 1.6 control cells. Control with J774 1.6 macrophages without fungal cells, was also performed as well as fungal cells from the two P. brasiliensis isolates without macrophages. The low pH provides an optimal environment for phagolysosomal enzymes and is an essential host strategy for the killing of most pathogens [28].
The interaction assay was performed using two P. brasiliensis isolates (Pb18 and Pb339) and are shown in the lanes named macrophages + Pb18 yeast cells and macrophages + Pb339 yeast cells, respectively. The pictures were taken in bright field (shown in the bright field column), at 395/420 nm for Calcofluor probe (shown in the Calcofluor white column) and at 579/599 nm for Lysotracker probe (shown in the Lysotracker column). Fungal control cells are shown in the lanes named Pb18 yeast cells and Pb339 yeast cells. Control macrophage cells were also performed and are shown in the lane named macrophage (control). All representative pictures were taken using an Axioscope microscope (Carl Zeiss) and magnified 1000X.
Proteomic analysis
The resulting NanoUPLC-MSE protein and peptide data generated by the PLGS analysis are shown in S3–S5 Files The experiments resulted in the identification of 7,845 peptides (4,461 and 3,384 in the control cells and those obtained after macrophage infection, respectively). A rate of 57.5% of the identified peptides were obtained from peptide match type data in the first pass and 6.5% from the second pass. A total of 17% of the peptides were identified by a missed trypsin cleavage, and an in-source fragmentation rate of 9% was observed (S3 File).
S4 File depicts the accuracy of the m/z fragment matches in the database. A total of 97.2% of the peptides were assigned with up to 15 ppm m/z of error. S5 File shows the abundant dynamic range of the identified proteins; the distribution of protein concentrations comprised 3 orders of magnitude. A total of 308 differentially expressed proteins were identified in P. brasiliensis yeast cells derived from infected macrophages and are depicted in S1 and S2 Files. A fold-change difference in the protein level of 50% in comparison with the control cells was used to identify the regulated proteins. A total of 139 proteins were positively regulated during macrophage infection (S1 File), while 179 proteins were down-regulated (S2 File).
Most of the up-regulated proteins (S1 File, S6 File, panel A) were related to amino acid metabolism (10.9% of the total), cell rescue, defense and virulence (10.9% of the total) and molecules involved in protein synthesis (7.8% of the total).
The most regulated functional classes in the down-regulated proteins included protein synthesis (17.9% of the total) and amino acid metabolism (11.7%). A total of 9.6% of the identified proteins were related to energy production, including enzymes acting in glycolysis, the tricarboxylic acid pathway and the electron transport chain, as well as glyoxylate and methylcitrate cycle components.
S6 File depicts the functional classes of the upregulated proteins (panel A) and down regulated proteins (panel B).
P. brasiliensis adapts to the macrophage milieu by reprogramming its metabolism to produce glucose and inhibiting protein synthesis
The proteomic approach provided new insights into the molecular mechanisms used by P. brasiliensis to adapt to the macrophage environment. As depicted in Table 1, fructose1,6-biphosphatase was induced, suggesting an increase in gluconeogenesis to provide glucose. The anaplerotic precursors for glucose are most likely provided by the carbon backbones released by the amino acid degradation pathways (Table 1). Enzymes related to glutamate (glutamate dehydrogenase), alanine (alanine glyoxylate aminotransferase) and aspartate (aspartate aminotransferase) were induced, suggesting their role in production of glucose precursors. Moreover, fatty acids are probably used as fuel for fungal survival inside phagocytes, as suggested by the induction of the enzyme enoyl CoA hydratase. Ethanol production appeared to be increased based on the induction of pyruvate decarboxylase and alcohol dehydrogenase; the pyruvate is most likely provided through amino acid degradation. The increased ethanol production could contribute to fungal survival inside the macrophage because ethanol production contributes to pathogenesis [29]. The up regulated processes induced in P. brasiliensis upon internalization by macrophages are depicted in Fig 2.
The up regulated enzymes in P. brasiliensis during macrophage interaction are: PGM: phosphoglucomutase; PBPase: fructose 1,6-biphosphatase; GAPDH glyceraldehyde 3-phosphate dehydrogenase; PGAM: phosphoglycerate mutase; ENO: enolase; PDC: pyruvate decarboxylase; ADH: alcohol dehydrogenase; PDH: pyruvate dehydrogenase SDH: succinate dehydrogenase, ECH: enoyl-CoA hydratase; AGXT: alanine glyoxylate aminotransferase; GOT: aspartate aminotransferase; HDP: 4-hydroxyphenylpyruvate dioxygenase; ABAT: 4-aminobutyrate aminotransferase; GLUD: glutamate dehydrogenase; ASP: aspartyl protease; CXP: carboxypepetidase Y; APE: vacuolar aminopeptidase; ND: NADH ubiquinone oxidoreductase; and ATPase: ATP synthase. The numbers before enzyme names represent increasing rates in the protein expression during macrophage interaction. The asterisk represents the proteins detected in P. brasiliensis only during macrophage infection.
As depicted in Table 2, the glycolytic-specific enzymes phosphofructokinase 1 and hexokinase were repressed, indicating that glucose was not used as an energy source and reinforcing that P. brasiliensis was facing a glucose-poor environment inside the macrophages. Quantification of the transcript encoding fructose 1,6 biphosphatase (pbpase) corroborated the proteomics data (S7 File.). The inhibition of protein synthesis in the poor environment inside the macrophages was strongly suggested by the down regulation of a large number of proteins related to that process (S2 File and Table 2).
It is important to highlight the overexpression of proteins related to autophagic protein degradation process, such as vacuolar aminopeptidase, carboxypeptidase Y and aspartyl protease (Table 3). The induction of autophagic protein degradation is important because it provides a non-selective pathway for the bulk turnover of cytoplasmic components, thereby generating amino acids during nutrient starvation [30].
Putative virulence factors up-regulated in P. brasiliensis during interaction with macrophages
Several proteins that have been described as virulence factors in pathogenic microorganisms were up-regulated in P. brasiliensis yeast cells interacting with macrophages (Table 3). Some of these proteins may be involved in the oxidative stress response. For example, we detected the up-regulation of one cytochrome C peroxidase, two thioredoxins, and one superoxide dismutase. The transcript encoding the mitochondrial enzyme cytochrome c peroxidase was up-regulated during the interaction of P. brasiliensis with macrophage cells; the proteomics results were corroborated by qRT-PCR (S7 File). Mutants of these proteins in fungi, bacteria and parasites present attenuated virulence during infection in mice [31,32,33,34,35].
Therefore, we analyzed the role of the protein cytochrome c peroxidase (CCP) in fungal virulence because the enzyme contributes to the fungal antioxidant defense [36]. A silenced mutant strain for this gene was generated using antisense technology [15,24,37]. The knockdown mutant was obtained in the Pb339 strain, which was demonstrated to be the most feasible strain for genetic transformation in our laboratory [37]. The efficiency of the gene silencing from two Paracoccidioides transformants was evaluated by qRT-PCR. The silencing efficiency obtained for the CCP knockdown mutants was approximately 50%. The mutant strain obtained with the empty binary vector (EV) depicted no significant difference in the ccp expression level when compared with the wild type strain (WT) (Fig 3). To evaluate the sensitivity of the ccp silenced strain to oxidative stress, we analyzed the growth of two P. brasiliensis isolates (Pb18 wild type and Pb339 wild type), EV and Pbccp-aRNA strains using solid medium supplemented with menadione, that increases mitochondrial-generated ROS stress. The ccp-aRNA strains were more sensitive to 40 μM and 80 μM of menadione compared to the wild types isolates and EV strains (Fig 4, Panel B). The strains presented the same in vitro growth profile in absence of menadione (Fig 4, panel A). The results strongly suggest that CCP plays a role in avoiding cell damage caused by oxidative stress.
Relative quantification performed by real-time quantitative PCR to confirm CCP silencing. WT: wild type yeast cells (Pb339 strain); EV: yeast cells (Pb339 strain) containing the empty vector with no CCP-AS; Pbccp-aRNA1 and Pbccp-aRNA2: colonies from yeast cells (Pb339 strain) containing the cassette with the ccp antisense fragment. The Student's t-test was used for statistical comparisons. Error bars represent the standard deviation from three biological replicates, while * represents p≤0.05.
(A) Curve of cell growth in BHI medium with the strains Pb18-WT (wild type Pb18 strain), Pb339-WT (wild type Pb339 strain), EV: yeast cells (Pb339 strain containing the empty vector); Pbccp-aRNA1 and Pbccp-aRNA2: independent colonies of yeast cells (Pb339 strain) containing the cassette with the CCP-AS fragment. (B)The Pbccp-aRNA sensitivity to oxidative stress was examined in the presence of 40 μM and 80 μM of menadione. P. brasiliensis Pb18-WT, Pb339-WT and EV were used as controls. (C) Interaction assay of P. brasiliensis and macrophage cells. The experiments were performed in biological triplicates. Pb18-WT: wild type (Pb18 strain); Pb339-WT: wild type (Pb339) EV: yeast cells (Pb339 strain) containing the empty vector without CCP-AS; Pbccp-aRNA1 and Pbccp-aRNA2: independent colonies of yeast cells (Pb339 strain) containing the cassette with the CCP-AS fragment. The asterisk denotes p < 0.01(Student’s t-test).
CCP silencing reduces P. brasiliensis survival upon macrophage interaction and during infection in BALB/c mice
The survival of two CCP-silenced mutants (Pbccp-aRNA1 and Pbccp-aRNA2) was assessed during infection of J774 1.6 macrophage cells. The recovery of colony-forming units (CFU) after 24 hours of macrophage infection is depicted in Fig 4, Panel C. The control strains include two isolates of P. brasiliensis (Pb18-WT and Pb339-WT) and EV, and showed no significant differences in the number of CFUs recovered from macrophages. In contrast, the number of CFUs recovered from the CCP knockdown strains (Pbccp-aRNA1 and Pbccp-aRNA2) was severely reduced, suggesting the importance of the CCP protein during P. brasiliensis phagocytosis by macrophage cells.
To investigate the effect of the CCP gene on P. brasiliensis during infection, we infected BALB/c mice with the Pbccp-aRNA1 strain and compared the results to mice infected with the WT and EV strains. A strong decrease in fungal survival was observed in the livers and spleens of mice infected with the silenced strain (Fig 5). In contrast, no significant differences in fungal burdens in the spleens and livers were detected in mice infected with the WT and EV strains. The results suggest that CCP is important for the establishment of infection by P. brasiliensis.
Colony forming units recovered from the spleen (A) and liver (B) of mice infected with P. brasiliensis wild type (WT), P. brasiliensis containing the empty vector (EV) and the silenced mutant Pbccp-aRNA1. The experiments were performed in biological triplicates. Error bars represent the standard deviation from biological replicates, while * represents p-values < 0.01.
Discussion
In this work, for the first time, we performed a proteomic analysis of the response of P. brasiliensis upon interaction with macrophages. A total of 308 proteins were identified as up- or down-regulated in P. brasiliensis upon macrophage interaction. This number corresponds to proteins detected in at least two of three biological replicates, and presenting at least ± 50% differences in abundance.
The metabolic changes detected in P. brasiliensis reflect how the yeast cells sense the hostile environment in macrophages. Upon phagocytosis by macrophages, P. brasiliensis activates responses related to the synthesis of glucose by gluconeogenesis, amino acid catabolism rendering precursors of glucose, and the utilization of fatty acids by beta-oxidation. Additionally, we observed the induction of proteins and enzymes related to ROS detoxification. The results indicated that the anaplerotic precursors for glucose are most likely provided by the carbon backbones released from the amino acid degradation pathways. Enzymes related to glutamate (glutamate dehydrogenase), alanine (alanine glyoxylate aminotransferase) and aspartate (aspartate aminotransferase) catabolism were induced, indicating a possible increase in these catabolic pathways that may result in an enrichment of glucose precursors such as pyruvate, fumarate and oxaloacetate. Ethanol production could be increased, based on the induction of pyruvate decarboxylase and alcohol dehydrogenase and could lead to fungal survival inside the macrophage because ethanol production contributes to pathogenesis [29]. In this way, P. brasiliensis might remodel its metabolism to recycle its own carbon-containing molecules. The data suggest that gluconeogenesis play an important role in the adaptive responses to phagocytosis. The induction of gluconeogenesis and amino acid degradation enzymes suggest that P. brasiliensis can use carbon backbones of amino acids to synthesize glucose, presumably from the host.
Phagocytic cells generate ROS to eliminate fungi, which are very efficient pathogens in responding to oxidative stress [12]. A number of proteins and transcripts were involved in antioxidant defense systems have been described in P. brasiliensis in vitro and upon macrophage phagocytosis [14,17]. The fungus induces the accumulation of detoxifying enzymes such as superoxide dismutases, cytochrome c peroxidase and thioredoxins in response to H2O2 [14]. Of special note, in this work we demonstrated that the cytochrome c peroxidase (CCP) plays a role in the P. brasiliensis response to oxidative stress during interaction with macrophage cells and infection in a murine model. We previously demonstrated that CCP promotes Paracoccidioides sp. protection against nitrosative stress, in vitro, as demonstrated by the sensitivity of the Pbccp-aRNA1 strain to S-nitrosoglutathione, (GSNO), indicating an interface of the role played by CCP in oxidative and nitrosative stress responses [15]. The CCP protein is related to the oxidative stress response in other fungi, such as Cryptococcus neoformans. A CCP mutant in C. neoformans presented a reduction in intracellular growth when cultured with macrophages [36]. Based on our results, cytochrome c peroxidase can be considered a virulence factor because protein silencing promoted a decrease in the number of recovered fungi in macrophages and in an animal model.
Other potential virulence factors induced during macrophage infection were detected in our analysis in P. brasiliensis following macrophage infection.
Autophagy is presumably induced in P. brasiliensis upon macrophage infection. Autophagy is a vacuolar trafficking pathway that targets subcellular constituents to the vacuole for degradation and recycling; carboxypeptidase Y, vacuolar aminopeptidases and aspartyl protease are involved in this process [38]. The up-regulation of proteins, described as virulence factor in other pathogens, during P. brasiliensis interaction with macrophages suggests that these proteins may be important during infection of the human host by P. brasiliensis.
Taken together our results show that P. brasiliensis responds to several stress conditions once inside macrophages, including glucose deprivation and oxidative stress. The fungal response to glucose deprivation includes a metabolic shift from glycolysis to gluconeogenesis in which glucose precursors are provided by the catabolism of amino acids, as demonstrated by our proteomic analysis. We also assessed the contribution of the fungal oxidative stress response mediated by cytochrome c peroxidase for the survival of P. brasiliensis using knockdown strains. According to our data, the enzyme plays a relevant role in fungal survival inside macrophages, and therefore can be described as a virulence factor.
Supporting Information
S1 File. Up-regulated proteins of P. brasiliensis during macrophage infection in J774 1.6 cells.
https://doi.org/10.1371/journal.pone.0137619.s001
(DOCX)
S2 File. Down-regulated proteins of P. brasiliensis during macrophage infection in J774 1.6 cells.
https://doi.org/10.1371/journal.pone.0137619.s002
(DOCX)
S3 File. NanoUPLC-MSE data quality analysis.
PepFrag1 and PepFrag2 correspond to the peptides matches compared to the database by PLGS, VarMod corresponds to variable modifications, In Source corresponds to fragmentation that occurred in the ionization source, Missed Cleavage indicates the missed cleavage performed by trypsin and Neutral loss HO and NH correspond to water and ammonia precursor losses.
https://doi.org/10.1371/journal.pone.0137619.s003
(PDF)
S4 File. Mass error of the identified fragments.
The number of identified fragments according to the error range (x-axis).
https://doi.org/10.1371/journal.pone.0137619.s004
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S5 File. Detection dynamic range.
Quantified fragments were sorted according to the fragment amount (Fmol) and plotted in the graphics as grey circles. Standard protein was indicated by red circle. A protein with a low coefficient of variance between samples was used to normalize the expression data and allow comparisons of the control and P. brasiliensis data from infected macrophage.
https://doi.org/10.1371/journal.pone.0137619.s005
(PDF)
S6 File. Functional categorization of P. brasiliensis-regulated proteins during macrophage infection.
(A) Abundance (%) of upregulated P. brasiliensis proteins during the interaction with macrophages in agreement with their biological functions. (B) Abundance (%) of down-regulated P. brasiliensis proteins during the interaction with macrophages in agreement with their biological functions.
https://doi.org/10.1371/journal.pone.0137619.s006
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S7 File. Quantification of transcripts encoding proteins that were up-regulated during macrophage infection.
Transcript levels of genes encoding fructose 1,6 biphosphatase (pbase) and cytochrome c peroxidase (ccp). Transcript levels were measured using quantitative RT-PCR. Data were normalized to the beta tubulin protein transcript and are presented as fold change calculated based on the rate of macrophage interaction to control condition. The Student's t-test was used for statistical comparisons. Error bars represent the standard deviation from three biological replicates, while * represents p≤0.05.
https://doi.org/10.1371/journal.pone.0137619.s007
(PDF)
Author Contributions
Conceived and designed the experiments: CMAS JAPR. Performed the experiments: JAPR AFAP LCB SMRCB OH AMB CLB. Analyzed the data: CMAS JAPR AFAP LCB OH AMB CLB JGM CPT. Contributed reagents/materials/analysis tools: CMAS CPT. Wrote the paper: CMAS JAPR AFAP OH AMB CLB JGM.
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