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Intermolecular interactions of the malate synthase of Paracoccidioides spp

BMC Microbiology volume 13, Article number: 107 (2013) Cite this article

Abstract

Background

The fungus Paracoccidioides spp is the agent of paracoccidioidomycosis (PCM), a pulmonary mycosis acquired by the inhalation of fungal propagules. Paracoccidioides malate synthase (PbMLS) is important in the infectious process of Paracoccidioides spp because the transcript is up-regulated during the transition from mycelium to yeast and in yeast cells during phagocytosis by murine macrophages. In addition, PbMLS acts as an adhesin in Paracoccidioides spp. The evidence for the multifunctionality of PbMLS indicates that it could interact with other proteins from the fungus and host. The objective of this study was to identify and analyze proteins that possibly bind to PbMLS (PbMLS-interacting proteins) because protein interactions are intrinsic to cell processes, and it might be possible to infer the function of a protein through the identification of its ligands.

Results

The search for interactions was performed using an in vivo assay with a two-hybrid library constructed in S. cerevisiae; the transcripts were sequenced and identified. In addition, an in vitro assay using pull-down GST methodology with different protein extracts (yeast, mycelium, yeast-secreted proteins and macrophage) was performed, and the resulting interactions were identified by mass spectrometry (MS). Some of the protein interactions were confirmed by Far-Western blotting using specific antibodies, and the interaction of PbMLS with macrophages was validated by indirect immunofluorescence and confocal microscopy. In silico analysis using molecular modeling, dynamics and docking identified the amino acids that were involved in the interactions between PbMLS and PbMLS-interacting proteins. Finally, the interactions were visualized graphically using Osprey software.

Conclusion

These observations indicate that PbMLS interacts with proteins that are in different functional categories, such as cellular transport, protein biosynthesis, modification and degradation of proteins and signal transduction. These data suggest that PbMLS could play different roles in the fungal cell.

Background

In vivo, the Paracoccidioides spp transition from mycelium to yeast cells is governed by an increase in temperature that occurs upon contact of the mycelia or conidia with the host. The fungus, a complex of several phylogenetic species, causes paracoccidioidomycosis (PCM), a human systemic mycosis. The infection begins with the inhalation of fungal propagules, which reach the epithelium of the alveoli, where the mycelium differentiates to the yeast pathogenic form [1]. Although most clinical forms of the disease are asymptomatic, severe and progressive infections involving pulmonary and extra-pulmonary tissues occur [2]. A high percentage (80%) of cases of the disease is reported in Brazil, where PCM is the leading cause of death among the systemic mycoses. PCM is the eighth-leading cause of mortality among infectious and parasitic diseases, which establishes it as a serious public health problem [3–5].

Paracoccidioides malate synthase (PbMLS) appears to be important to the infectious process of Paracoccidioides spp because the transcript is up-regulated during the transition from mycelium to yeast, during the infectious phase [6], and in yeast cells during phagocytosis by murine macrophages [7]. PbMLS participates in the glyoxylate pathway, which enables the fungus to assimilate two-carbon compounds, and in the allantoin degradation pathway of the purine metabolism, which allows the fungus to use nitrogen compounds [8]. In addition to being a crucial enzyme in the metabolism of Paracoccidioides spp, PbMLS is located in peroxisomes and in the cell wall of the fungus. It is capable of binding to extracellular matrix components such as fibronectin and collagen types I and IV and is also secreted by the fungus. Furthermore, it has been demonstrated that this enzyme plays a role as an adhesin, having the ability to mediate host cell adhesion and internalization of Paracoccidioides spp in a significant role in the establishment of infection [9]. Therefore, there is evidence of PbMLS functionality, which drives the investigation of these functions through studies of protein interactions.

The availability of all of the sequences of the Paracoccidioides spp genome and the appearance of various techniques for the screening of protein-protein interactions makes it possible to discover the functions of fungal proteins of interest from the identification of their ligands [10]. Therefore, this study was performed to identify Paracoccidioides spp proteins that might interact with PbMLS through techniques such as the yeast two-hybrid system (which is the most suitable method for identifying binary interactions) and affinity purifications coupled with mass spectrometry (MS) analyses (pull-down), to discover multi-protein assemblies that enable us to infer other functions of this enzyme and corroborate evidence of their multiple locations in the fungal cell. The interactions were also evaluated by in silico analysis.

Results

Tracking of protein interactions in vitroby pull-down assays

The pull-down technique detects the physical interactions between proteins most directly; as a result, it is a useful tool in the confirmation of protein-protein interactions predicted by other techniques [11]. Here, pull-down assays were performed to search for interactions between PbMLS and other proteins of Paracoccidioides Pb01 from different extracts because the fungus expresses different proteins depending on the phase [12], which could lead to different PbMLS-interacting proteins.

The recombinant proteins GST and PbMLS fused to GST (PbMLS-GST) were expressed, purified by using an affinity resin, and visualized by SDS-PAGE (Additional file 1: Figure S1A, lanes 1 and 2, respectively). The predicted mass for the hybrid protein PbMLS-GST was 86.4 kDa (60.9 kDa for PbMLS and 25.5 kDa for GST). The proteins designated as 1, 2, 3 and 4 were subjected to proteolysis and identification by MS. The proteomic identification data are compiled in Additional file 2: Table S1. The results indicated that proteins 1 and 2 correspond to PbMLS (both are PAAG_04542), but protein 2 is most likely a result of its proteolysis or incomplete translation. Protein 3 was identified as membrane protein F of E. coli. The co-purification of proteins from E. coli has been described [13]. Protein 4 corresponds to GST.

After purification, the GST bound to resin was incubated with protein extracts from Paracoccidioides Pb01 mycelium (Additional file 1: Figure S1B), yeast (Additional file 1: Figure S1C), yeast-secreted (Additional file 1: Figure S1D) and macrophage (Additional file 1: Figure S1E), to exclude nonspecific bindings that occur only in the presence of GST. The presence of only GST in lane 1 (Additional file 1: Figures S1B, S1C, S1D and S1E) indicated the absence of non-specific bindings to GST. Next, the supernatant was removed and incubated with PbMLS-GST bound to resin. The protein complexes formed during incubation were precipitated and resolved by SDS-PAGE (lane 2 – Additional file 1: Figures S1B, S1C, S1D and S1E).

Proteins that interacted with PbMLS, which are listed from 5 to 66 (Additional file 1: Figure S1B, S1C, S1D and S1E), were removed from the gel and identified by MS (Additional file 2: Table S1). Proteins that interact with PbMLS and that were detected by different pull-down assays were listed (Additional file 3: Table S2). The search against the NCBI non-redundant database using the MS/MS data was performed using MASCOT software v. 2.4 [14]. Functional characterization was performed using UniProt databases [15] and MIPS [16].

A total of 45 PbMLS-interacting proteins were identified (Additional file 3: Table S2). Of these, 18 proteins were from macrophage and 27 were from Paracoccidioides Pb01; 15 were from mycelium, 18 were from yeast, and 11 were yeast-secreted. Some proteins were found in more than one extract (4 proteins in mycelium, yeast and yeast-secreted, 11 proteins in mycelium and yeast, 1 protein in mycelium and yeast-secreted). No protein was found in both yeast and yeast-secreted extracts. Of the 27 Paracoccidioides Pb01 proteins, 13 were exclusively extract (found only in mycelium, yeast or yeast-secreted). Of 18 macrophage proteins, 13 were exclusive to macrophage, with 5 related to cytoskeleton. A total of 3 proteins (heat shock protein 60 kDa, heat shock protein 70 kDa and fructose 1, 6 bisphosphate aldolase) were also identified in the pull-down assays with Paracoccidioides Pb01 mycelium and/or yeast cells.

Tracking of protein interactions in vivoby a two-hybrid assay

To detect new interactions between PbMLS and other Paracoccidioides Pb01 proteins, two-hybrid assays were performed. The Y187 strain of S. cerevisiae that harbors the bait (PbMLS) fused to the binding domain (BD) of the GAL4 transcription factor and the strain AH109 that harbors the prey (cDNA library of Paracoccidioides Pb01) fused to the activation domain (AD) of GAL4 were placed in the same system to promote diploids.

The diploid yeast-expressing proteins that interacted were finally selected in medium that contained a chromogenic substrate (X-α-GAL) to observe the transcriptional activation of the reporter gene mel1, a GAL4-regulated gene coding for the α-galactosidase enzyme. A total of 24 clones showed the activation of the reporter gene mel1 by turning blue (data not shown), which confirmed that there was interaction between PbMLS and the gene products listed in the Additional file 4: Table S3.

To identify gene products that interacted with PbMLS, the cDNAs of the clones were sequenced after PCR amplification. ESTs (Expressed Sequence Tags) were processed using the bioinformatics tool Blast2GO. The functional classification was based on the homology of each EST against the GenBank database using the BLAST algorithm [17], with a significant homology cutoff of ≤ 1e-5 and functional annotation by MIPS [16]. Additionally, sequences were grouped into functional categories through the PEDANT 3 database [18]. The analysis indicated the presence of several functional categories of genes and cell functions related to cellular transport, protein fate, protein synthesis, nucleotide metabolism, signal transduction, cell cycle and DNA processing, and hypothetical protein (Additional file 4: Table S3).

Construction of protein interaction maps

A comprehensive genetic interaction dataset has been described for the model yeast S. cerevisiae[19]. Because genes that act in the same pathway display similar patterns of genetic interactions with other genes [19–22], we investigated whether Paracoccidioides Pb01 protein sequences that interacted with PbMLS and were tracked by the pull-down and two-hybrid assays (Additional file 3: Table S2 and Additional file 4: Table S3, respectively) were found in the structural genome database of S. cerevisiae[23]. Those sequences and others from The GRID protein interaction database [24] of S. cerevisiae were used to construct protein interaction maps generated by the Osprey Network Visualization System [25] (Figure 1). Protein sequences from macrophage were not used because some of them were not found in the S. cerevisiae database. The blue lines indicate protein interactions with MLS from Paracoccidioides Pb01 experimental data. The green lines indicate protein interactions with MLS already described in The GRID interaction database [24] of S. cerevisiae. A pink line corresponds to both. The colored dots show the functional classification of proteins.

Figure 1
figure 1

Map of interactions between MLS and other proteins generated by the Osprey Network Visualization System [25]. (A) Protein interactions obtained by a two-hybrid assay. Protein interactions obtained by pull-down assays with protein extracts of Paracoccidioides mycelium (B), yeast (C) and yeast secretions (D). The blue lines indicate protein interactions with MLS from the experimental data. The green lines indicate protein interactions with MLS that are already described in The GRID interaction database [24] of S. cerevisiae. The pink line corresponds to both. The colored dots show the functional classifications of the proteins.

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Protein interactions obtained by a two-hybrid assay are shown in Figure 1A. Protein interactions obtained by pull-down assays with protein extracts of Paracoccidioides Pb01 mycelium, yeast and yeast-secretions are shown in Figure 1B, C, and D, respectively. Ubiquitin (YLL039C) was the only protein that interacted with MLS that was found in both Paracoccidioides and S. cerevisiae. The other proteins were identified in Paracoccidioides Pb01 or S. cerevisiae but not in both. Although some proteins identified in Paracoccidioides Pb01 have homologous proteins in S. cerevisiae (Additional file 5: Table S4), these proteins could not yet be identified as interacting with PbMLS. Most of the Paracoccidioides Pb01 proteins that interacted with PbMLS were related to the metabolism category.

Confirmation of the interactions by Far-Western blot assays

Far-Western blot assays were conducted to confirm the interactions between PbMLS and other proteins from the fungus identified by pull-down assays. PbMLS was subjected to SDS-PAGE and was electro blotted. The membranes were reacted with protein extracts of Paracoccidioides Pb01 mycelium, yeast and macrophage (Figure 2A, lanes 1, 2 and 3, respectively) and were subsequently incubated with rabbit IgG anti-enolase, anti-triosephosphate isomerase and anti-actin, respectively. The reactions were revealed with anti-rabbit IgG conjugated to alkaline phosphatase. Positive signals to the three extracts indicated the presence of an interaction between PbMLS and enolase, triosephosphate isomerase and actin. Negative control was obtained by incubating PbMLS with the antibodies anti-enolase, anti-triosephosphate isomerase and anti-actin, respectively, without preincubation with the protein extracts (Figure 2A, lanes 4, 5 and 6, respectively). Positive control was obtained by incubating the PbMLS with the polyclonal anti-PbMLS antibody (Figure 2A, lane 7).

Figure 2
figure 2

Confirmation of the interactions by Far-Western blot assays. (A) PbMLS was subjected to SDS-PAGE and electro blotted. Membranes were reacted with Paracoccidioides protein extracts of mycelium (lane 1), yeast (lane 2) and macrophage (lane 3) and were subsequently incubated with anti-rabbit IgG anti-enolase, anti-triosephosphate isomerase and anti-actin, respectively. The reactions were revealed with anti-rabbit IgG conjugated to alkaline phosphatase. Negative control was obtained by incubating PbMLS with the antibodies anti-enolase, anti-triosephosphate isomerase and anti-actin, respectively, without preincubation with the protein extracts (lanes 4, 5 and 6). The positive control was obtained by incubating the PbMLS with the polyclonal anti-PbMLS antibody (lane 7). (B) Protein extracts of Paracoccidioides mycelium, yeast, secretions and macrophages (lanes 1, 2, 3 and 4, respectively) were subjected to SDS-PAGE and blotted onto nylon membrane. The membranes were incubated with PbMLS and, subsequently, primary antibody anti-PbMLS and secondary antibody anti-rabbit IgG. Negative control was obtained by incubating each protein extract with anti-PbMLS antibody, without preincubation with PbMLS (lanes 5, 6, 7 and 8). The numbers indicate the proteins (Additional file 2: Table S1) that interact with PbMLS that are confirmed by this technique.

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Another Far-Western blot assay was performed using membranes that contained protein extracts of Paracoccidioides Pb01 mycelium, yeast, yeast secretions, and macrophage (Figure 2B, lanes 1, 2, 3 and 4, respectively). The membranes were incubated with PbMLS and, subsequently, were incubated with antibody anti-PbMLS and secondary antibody anti-rabbit IgG. Several proteins identified in the pull-down assays interacted with PbMLS at this point, which suggested the veracity of the interactions. Negative control was obtained by incubating each protein extract with the anti-PbMLS antibody, without preincubation with PbMLS (Figure 2B, lanes 5, 6, 7 and 8). The numbers identify the proteins that interacted with PbMLS, as shown in Additional file 2: Table S1.

PbMLS binds to the surface of macrophages

Because the results from Far-Western blot assays revealed several macrophage proteins interacting with PbMLS, we performed immunofluorescence microscopy to visualize whether PbMLS could adhere to the surface of the macrophage cells. No binding was observed using BSA as a control (Figure 3A). The arrow indicates PbMLS binding to a macrophage surface (Figure 3B).

Figure 3
figure 3

Binding of Pb MLS to the macrophage surface. Immunofluorescence microscopy that shows the binding of PbMLS to J774 A.1 mouse macrophage cells. (A) Negative control was performed with the unrelated protein BSA. (B) Arrows indicate PbMLS (green) binding to the macrophage cell surfaces; blue indicates the macrophage nucleus.

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PbMLS participates in the adherence of Paracoccidioidesto pneumocyte cells

Because the fungus initially reaches the lungs, the participation of PbMLS in the adherence of Paracoccidioides Pb18 to pneumocyte cells was investigated by using confocal laser scanning microscopy. A549 cells were pretreated with anti-PbMLS and infected with Paracoccidioides Pb18 isolate. After washings with frozen PBS-T, the monolayers were incubated with Alexa Fluor that was 594-conjugated for labeling the antibody. The arrows indicate PbMLS interacting with the A549 surface (Figures 4A and B).

Figure 4
figure 4

Interaction between Paracoccidioides yeast cells and pneumocytes by confocal laser scanning microscopy. Infected cell monolayers were fixed and permeabilized. Primary anti-PbMLS and secondary antibodies Alexa Fluor 594 goat anti-rabbit IgG (red) were used. The specimens were analyzed by laser confocal microscopy using DIC (A) and fluorescence (B).

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Homology models

In silico analysis was performed to investigate how the interactions identified by pull-down and two-hybrid assays could occur. Some PbMLS-interacting proteins from metabolic pathways such as the glycolytic pathway, the tricarboxylic acid cycle, the methyl citrate cycle and the glyoxylate cycle were selected for analysis. Because PbMLS participates in the glyoxylate cycle, interaction between proteins from different metabolic pathways would be expected. Because no crystal structure of PbMLS-interacting proteins described here was reported, a three-dimensional homology model for each protein was constructed based on the structure template listed in Additional file 6: Table S5. All of the 3D-structure templates used to build models of the proteins have a resolution of < 2.0 Å and an identity of > 49%, with a coverage of > 91%.

Homology models of the PbMLS-interacting proteins have very little conformational change when compared to their templates (Additional file 6: Table S5). The largest deviations were observed for enolase and fructose 1,6 bisphosphate aldolase, with 2.65 Å and 1.44 Å of root mean square derivation (RMSD) when superposed on the template when considering the non-hydrogen atoms. For enolase, there is a significant conformational change only in the C-terminal regions and between PRO143 and ASN155 (data not shown).

Alpha-helix-like secondary-structure patterns were observed in a greater proportion in the homology models PbMLS-interacting proteins. For almost all of the structures, the alpha-helix-like pattern corresponded to more than 40% of the whole structure, while the beta-sheet-like pattern accounted for less than 20%, except for the protein ubiquitin, whose quantity of beta-sheet-like pattern was greater (Additional file 6: Table S5).

Ramachandran plots of homology models were assessed stereo-chemically through the RAMPAGE web server [26] (data not shown). For all of the proteins, the Φ and Ψ distributions of the Ramachandran plots were always above 94% in the favored regions and less than 3.5% in the allowed regions. The quality factors of the structures were estimated by the ERRAT web server and are summarized in Additional file 6: Table S5.

Molecular dynamics

All of the proteins were subjected to at least 20 ns simulation using GROMACS software [27]. For the proteins gamma actin, 2-methylcitrate synthase, triosephosphate isomerase and ubiquitin, that time was insufficient to achieve RMSD stability of non-hydrogen atoms with respect to the structure homology models. In those cases, more simulation time was provided until this condition was achieved. The times required are listed for each protein. For almost all of the proteins, the deviations from their homology models were low (approximately 3.0 Å). Specifically, ubiquitin and 2-methylcitrate synthase had the highest RMSDs. The increase was 7.65 Å and 6.34 Å after 60 ns and 40 ns, respectively. When only the residues from the interfaces of the complexes were considered, the RMSDs increased 9.0 Å and 5.87 Å, respectively (Additional file 6: Table S5).

The alpha-helix-like pattern was slightly reduced in all of the proteins that were binding to PbMLS, but the beta-sheet-like structures almost did not change. Although the RMSDs were high for ubiquitin and 2-methylcitrate synthase, the alpha-helix-like patterns decreased to only 10.6% and 6.9%, respectively.

Molecular docking and molecular dynamics of the protein-protein complexes

Molecular docking between PbMLS and PbMLS-interacting proteins was investigated by the GRAMM-X web server using the structures stabilized by DM. Only the best model-structures provided by the server were selected. These complexes were then subjected to a rapid DM so that their structures could accommodate and avoid high energy at the interface between them, thus identifying residues in this region. Significant conformational changes occurred in ubiquitin and 2-methylcitrate synthase when they were complexed with PbMLS (data not shown). The residues contacting at the interface of the complexes are shown in Additional file 7: Table S6, and these amino acids are highlighted in Figure 5. Some amino acid residues are common to different proteins. For example, ASP379 and GLN380 are residues of PbMLS that interact with enolase and ubiquitin; ASN386 is at the interface for gamma actin and ubiquitin; LEU388 is common to triosephosphate isomerase and glyceraldehyde-3-phosphate dehydrogenase; and ASP401 is common to 2-methylcitrate synthase and malate dehydrogenase.

Figure 5
figure 5

Complexes between Pb MLS-interacting proteins (red) and Pb MLS (green) after protein-protein docking simulations by using Gramm-X and GROMACS software. (A) Enolase, (B) Fructose 1, 6 bisphosphate aldolase, (C) Gamma actin, (D) Glyceraldehyde-3-phosphate isomerase, (E) Malate dehydrogenase, (F) 2-Methylcitrate dehydratase, (G) Triosephosphate isomerase, and (H) Ubiquitin. The amino acid residues that are involved in complex formation are highlighted.

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The protein-protein complexes relaxed by DM were provided to the Fiberdock web server, which determined the global energy for each complex (Additional file 7: Table S6). The results showed that fructose 1, 6 bisphosphate aldolase and ubiquitin were well stabilized when complexed with PbMLS. The ASP265 residue of PbMLS is present in the interaction of both proteins.

Discussion

Our previous studies showed that PbMLS is required in the metabolism of Paracoccidioides Pb01 acting in the glyoxylate cycle and in the allantoin degradation pathway. PbMLS condenses acetyl-CoA from both 2C sources (glyoxylate cycle) and nitrogen sources (from proline and purine metabolism) to produce malate, which is a central molecule of the tricarboxylic acid cycle or glyoxylate cycle [8]. In addition, PbMLS is located in the cytoplasm and on the fungal cell surface and is secreted, behaving like an anchorless adhesin [9]. The strong evidence for PbMLS multifunctionality increased our interest in researching the possibility of new roles for PbMLS through studies of protein-protein interactions, which aimed to identify PbMLS-interacting proteins.

We searched for PbMLS-interacting proteins using Far-Western blot, pull-down and two-hybrid techniques. The two-hybrid and pull-down are used as complementary techniques because the results depend on variants of the methods. The two-hybrid system is highly sensitive to detecting low-abundance proteins, unlike the pull-down system, which detects high-abundance molecules. Additionally, the two-hybrid system allows identifying strong and weak interactions, while the pull-down is not a sensitive method for identifying some of the weak interactions because of the wash steps [28]. Because the principles of the techniques are different, we have the capability of identifying different proteins.

Pull-down assays were performed using Paracoccidioides Pb01 mycelium, yeast and yeast-secreted protein extracts because protein differences [12] and metabolic differences, including changes in the PbMLS transcript expression level [29], were observed between both phases, which could lead to different PbMLS-interacting proteins. In fact, considering mycelium and yeast, 4 proteins were exclusive to mycelium, and 7 were exclusive to yeast. In addition, 5 proteins were exclusive to yeast-secreted extract, and 15 were exclusive to macrophage. A total of 13 of those proteins were also identified by Far-Western blot. These findings suggest that PbMLS appears to play a different role in Paracoccidioides Pb01 because it interacts with proteins from diverse functional categories.

Several significant interactions were found. PbMLS interacted with fatty acid synthase subunit beta, which catalyzes the synthesis of long-chain saturated fatty acids. PbMLS interacted with 2-methylcitrate synthase and 2-methylcitrate dehydratase, which are enzymes of the cycle of 2-methylcitrate. This cycle is related to the metabolism of propionyl-coenzyme A (and odd-chain fatty acids), unlike the glyoxylate cycle, which is related to the metabolism of even-chain fatty acids. The interaction of PbMLS with these enzymes suggests its involvement in fatty acid metabolism regulation.

The peroxisomal enzyme malate dehydrogenase, which participates in the glyoxylate cycle [30], interacts with PbMLS. In addition to having the signal peptide AKL that targets peroxisomes [8], PbMLS was localized in that organelle [9].

PbMLS interacts with serine threonine kinase. It is known that protein kinases catalyze the transfer of the gamma phosphate of nucleotide triphosphates (ATP) to one or more amino acids of the protein side chain, which results in a conformational change that affects the function of the protein, resulting in a functional alteration of the target protein by altering enzymatic activity, cellular localization or association with other proteins [31]. Thus, the interaction with a protein kinase suggests that PbMLS could be regulated by phosphorylation. PbMLS has a variety of sites, which indicates possible post-translational modifications, including protein kinase phosphorylation sites [8]. We have already described the regulation by phosphorylation of PbICL, the other enzyme unique to the glyoxylate cycle [32].

The secretion of PbMLS [9] suggests that it interacts with fungus proteins themselves and host surface proteins. Extracellular vesicles from Paracoccidioides spp present proteins with many functions [33]. Of 11 PbMLS-interacting proteins, 5 were also found in the extracellular vesicle. Extracellular proteins are known to play important roles, such as the uptake of nutrients, cell-cell communication and detoxification of the environment [34]. More specifically, proteins secreted by pathogenic microorganisms appear to play important roles in virulence [35]. Corroborating our results, many proteins identified in this study, such as 2-methylcitrate synthase, malate dehydrogenase, nucleoside diphosphate kinase, pyruvate kinase, hsp70-like protein and Cobalamin-independent methionine synthase, had previously been described as secreted proteins in Paracoccidioides Pb01 secretome from mycelium and yeast cells [36].

The adhesion of pathogens to host cells is considered to be an essential step in the establishment of infection [37]. Several clinically important fungi, such as Candida albicans, Aspergillus fumigatus, Histoplasma capsulatum and Cryptococcus neoformans, are known to bind to proteins of the extracellular matrix (ECM) [38]. The adhesins of fungi are important in the migration, invasion, differentiation and proliferation of microbes. Paracoccidioides yeast cells also have the ability to adhere and invade host cells [39, 40]. Some adhesins, such as PbDfg5p [41], triosephosphate isomerase (PbTPI) [42], glyceraldehyde-3-phosphate dehydrogenase (PbGAPDH) [39], and enolase (PbEno) [43], and PbMLS [9] have been described in Paracoccidioides Pb01. Here, the interaction between PbMLS and enolase and triosephosphate isomerase was confirmed by Far-Western blot assay. The interaction of PbMLS with those proteins suggests that the joint action of those adhesins could promote adhesion to and invasion of host cells, acting as potent virulence factors.

PbMLS appears to act in the interaction between Paracoccidioides Pb01 and macrophage because it interacts with several macrophage-specific proteins, of which 5 proteins are related to cytoskeleton, which suggests the involvement of that structure in the fungus adhesion process. The PbMLS binding to actin was confirmed by Far-Western blot. The cytoskeletons of the macrophages control the movement of the cell membrane, which reflects the movement of the cell as a whole and are also involved in processes such as phagocytosis [44]. Our previous work used Far-Western blotting and flow cytometry to show that PbMLS binds to A549 cells. Here, the participation of PbMLS in Paracoccidioides Pb01 adhesion to and invasion of A549 cells was confirmed using confocal laser scanning microscopy.

Some PbMLS-interacting proteins were selected for in silico interaction analysis. Proteins were chosen from metabolic pathways such as the glycolytic pathway, the tricarboxylic acid cycle, the methyl citrate cycle and the glyoxylate cycle because PbMLS participates in the glyoxylate cycle, and the interaction between proteins from different metabolic pathways would be expected. Global energy values for each complex studied showed that there is good complementarity between PbMLS and most PbMLS-interacting proteins. For example, the complexes that involve PbMLS and the proteins glyceraldehyde-3-phosphate isomerase, malate dehydrogenase, 2-methylcitrate dehydratase and triosephosphate isomerase have global energies that are less than −55 kcal/mol. The global energy values found here were very good. For example, in a recent study of the interactions between D-phosphoglycerate dehydrogenase and phosphoserine aminotransferase from the enteric human parasite Entamoeba histolytica[45], the best global energies were approximately −75 kcal/mol. Here, the best values were found for fructose 1,6 bisphosphate aldolase and ubiquitin (less than −100 kcal/mol).

S. cerevisiae MLS-interacting proteins have already been described. Here, in silico analysis using the S. cerevisiae database showed that PbMLS interacts with other new proteins. The only protein that they share is ubiquitin. This fact and the fact that the interaction between ubiquitin and PbMLS is very stable suggest that this interaction is very important. Ubiquitin is responsible for the conjugation of proteins, marking them for selective degradation via the ubiquitin-proteasome system 26S, a process that is essential in the response to cellular stress. These proteins, however, act through ubiquitination, changing the function, the location and/or the traffic protein, or are targeted for destruction by the 26S proteasome [46].

In conclusion, the molecular interactions that involve proteins located in subcellular compartments facilitate the understanding of mechanisms that are associated with each interaction. However, proteins are not always at the same location in the cell and do not have unique roles [47]. Here, several new PbMLS-interacting proteins from various functional categories were identified, which suggests that their function is diversified beyond the glyoxylate cycle.

Conclusions

The results of this study indicated that PbMLS interacts with proteins of different functional categories, such as cellular transport, protein biosynthesis, modification and degradation and signal transduction. These data suggest that PbMLS is found in many locations and plays different roles in the fungal cell.

Methods

Paracoccidioidesisolate and growth conditions

The fungus Paracoccidioides isolate Pb01 (ATCC MYA-826) was grown, as previously described [39]. The yeast and mycelium phase were grown at 36 and 22 °C, respectively, in Fava–Netto’s medium (1% w/v peptone, 0.5% w/v yeast extract, 0.3% w/v proteose peptone, 0.5% w/v beef extract, 0.5% w/v NaCl, 4% w/v glucose, 1% w/v agar pH 7.2).

Preparation of protein extracts from Paracoccidioides spp

Total protein extracts from Paracoccidioides spp mycelium and yeast cells were prepared as previously described [48]. Mycelium and yeast cells were frozen and ground with a mortar and pestle in buffer (20 mM Tris–HCl pH 8.8, 2 mM CaCl2) with protease inhibitors (50 μg/mLN-α-ρ-tosyl-L-lysine chloromethylketone; 1 mM 4-chloromercuribenzoic acid; 20 mM leupeptin; 20 mM phenylmethylsulfonyl fluoride; and 5 mM iodoacetamide). The mixture was centrifuged at 10,000 × g at 4°C, for 20 min, and the supernatant was collected and stored at −20 °C.

Yeast-secreted proteins of Paracoccidioides spp were prepared. Culture supernatant of yeast cells was obtained after 24 h incubation in liquid Fava Netto’s medium. The cells were separated by centrifugation at 5,000 × g for 15 min, and the supernatant was filtered in 0.45 and 0.22 μm filters (MilliPore). Each 50 mL of culture supernatant was concentrated to 500 μL in 25 mM Tris–HCl pH 7.0, and a protease inhibitor was added. The protein concentration of all of the samples was determined according to Bradford [49].

Preparation of protein extracts from macrophage

J774 A.1 mouse macrophage cells purchased from a Cell Bank in Rio de Janeiro, Brazil [50], were cultured in RPMI 1640 supplemented with fetal bovine serum, nonessential amino acids and interferon gamma (1 U/mL). To obtain the protein extract, cells were detached with 0.9% saline solution containing trypsin and were centrifuged at 5,000 × g for 10 min. Then, milliQ water was added to lyse the cells, and the solution was centrifuged again. Buffer (20 mM Tris–HCl pH 8.8, 2 mM CaCl2) and protease inhibitors were added to the pellet. Protein concentration was determined according to Bradford [49].

Heterologous expression and purification of recombinant PbMLS

PbMLS recombinant protein was obtained as described by Zambuzzi-Carvalho et al.[8] and Neto et al. [9]. PbMLS cDNA was cloned into the expression vector pGEX-4-T3 (GE Healthcare®, Chalfont St Giles, UK). E. coli (BL21 Star™ (DE3) pLys, Invitrogen, Grand Island, NY) was transformed with pGEX-PbMLS construction by thermal shock and was grown in LB medium supplemented with ampicillin (100 μg/mL) at 20°C until reaching the optical density of 0.6 at 600 nm. Synthesis of the recombinant protein was then initiated by adding isopropyl-β-D-thiogalactopyranoside (IPTG) (Sigma-Aldrich, St. Louis, MO) to a final concentration of 0.1 mM to the growing culture. After induction, the cells were incubated for 16 h at 15°C with shaking at 200 rpm. Cells were harvested by centrifugation at 10,000 × g for 10 min. The supernatant was discarded, and the cells were resuspended in 1× phosphate-buffered saline (PBS) (0.14 M NaCl, 2.7 mM KCl, 10 mM Na2HPO4, 1.8 mM KH2PO4 pH 7.4).

E. coli cells were incubated for 60 min with lysozyme (100 μg/mL) and were lysed by extensive sonication (25 cycles of 1 min). The sample was centrifuged at 8,000 × g for 15 min to obtain the supernatant, which contained the soluble protein fraction. The recombinant protein was purified by affinity chromatography under no denaturing conditions. The soluble fraction was placed in a Glutathione Sepharose× 4B resin column (GE Healthcare®). The resin was washed five times in 1x PBS, and the recombinant protein was cleaved by the addition of thrombin protease (50 U/mL). The purity and size of the recombinant protein were evaluated by running the molecule on 12% SDS-PAGE followed by Coomassie blue staining. E. coli cells transformed with pGEX-4 T-3 without an insert for the expression and purification of the protein glutathione S transferase (GST) were used as the experimental control.

Antibody production

The purified PbMLS was used to produce anti-PbMLS polyclonal antibodies in New Zealand rabbits. The immunization protocol constituted an initial injection of 300 μg of purified recombinant protein in complete Freund’s adjuvant and two subsequent injections of the same amount of the antigen in incomplete Freund’s adjuvant. Each immunization was followed by a 14-day interval. After the fourth immunization, the serum containing the anti-PbMLS polyclonal antibody was collected and stored at −20°C.

Pull-down assays

A total of 5 mg of each protein extract of Paracoccidioides Pb01 mycelium, yeast, yeast secretions and macrophage was incubated with 20 μL of resin bound to GST for 2 h at 4°C under gentle agitation (control). The resin was centrifuged at 200 × g for 5 min, and the supernatant was placed into a tube that contained 100 μL of the resin bonded to PbMLS. This mixture was incubated for 3 h at 4°C, with stirring. After this period, the resin was centrifuged at 200 × g for 5 min, and the supernatant was discarded. Both resins were washed four times with 1x PBS buffer and subjected to SDS-PAGE on 15% polyacrylamide gel followed by staining with Coomassie Blue (GE Healthcare®).

Separated by SDS-PAGE, the proteins that interacted with PbMLS in the pull-down assay were excised from the gel and identified by MS. Pieces of the gels were soaked in 50 μL of acetonitrile. The solvent was removed under a vacuum and was incubated in 100 mM NH4HCO3 buffer containing 10 mM 1,4-dithiothreitol for 1 h at 56°C under gentle agitation. The above buffer was removed and replaced by 55 mM iodoacetamide in 100 mM NH4HCO3 for 45 min at room temperature in the dark. The gel pieces were then subjected to alternating 5 min washing cycles with NH4HCO3 and acetonitrile, dried down, swollen in 50 μL of 50 mM NH4CO3 containing 12.5 ng/mL sequencing-grades modified porcine trypsin (Promega, Madison, WI) and incubated at 37°C overnight. The resulting tryptic peptides were extracted by adding 20 μL of 5% v/v acetic acid and removing the solution. This procedure was repeated once. The extracts were pooled, dried under a vacuum and then solubilized in 0.1% v/v trifluoroacetic acid for MS analysis. The proteins of the tryptic digestion samples were analyzed using a MALDI-Synapt MS™ mass spectrometer (Waters-Micromass, Manchester, UK). The peptide mass list obtained for each spectrum was searched using the MASCOT algorithm [14]. Proteins were identified by Peptide Mass Fingerprint (PMF) and/or MS/MS, even considering 1 tryptic cleavage lost, score > 60, 50–100 ppm mass error between theoretical and experimental masses and oxidized methionine as variable modification resulting from in-gel digestion.

Two-hybrid assays

A cDNA library was obtained using RNA extracted from Paracoccidioides Pb01 yeast cells, as described previously [51]. The cDNAs were synthesized and cloned into the prey vector pGADT7 to perform yeast two-hybrid screens using the Matchmaker Two-Hybrid System 3 (Clontech Laboratories, Polo Alto, CA). To screen protein-protein interactions in vivo with the MLS, the cDNA encoding PbMLS was sub-cloned into the bait vector pGBKT7. The generation of transformants was obtained by introducing the bait vector into the Saccharomyces cerevisiae yeast strain Y187 (MATα, trp1-901) and the prey vector into the S. cerevisiae strain AH109 (MATα, leu2-3).

The experimental protocol was performed according to the Matchmaker GAL4 Two-Hybrid System 3 manual and the Yeast Protocol Handbook (Clontech). Following cell mating, the S. cerevisiae diploids that contained the two vectors were selected from plates that contained SD/–Leu/–Trp minimal media. To exclude false-positive clones, the colonies were replicated using high-stringency plates that contained SD–Ade/–His/–Leu/–Trp minimal media. The screening of positive clones was accomplished by detecting the blue/white color of the substrate 5-bromo-4-chloro-3-indolyl-α-D-galactopyranoside (X-α-GAL). Adenine and histidine were the reporter genes that expressed together with lacZ (α-galactosidase reporter gene). A PCR colony assay was performed on the clones using AD-LD 5′ and AD-LD 3′ supplied oligonucleotides for the pGADT7-Rec bait plasmid. The PCR products of the identified transformants were subjected to DNA sequencing using a MegaBACE 1000 sequencer (GE Healthcare®) for automated sequence analysis. Sequence homologies to the genes of interest were performed by searching the GenBank database using the BLAST algorithm [17].

Construction of protein interaction maps

The Osprey Network Visualization System [25] was used to design a complex interaction network to enable viewing and manipulation [52]. This program uses The GRID protein interaction databases [24] and the Saccharomyces Genome Database - SGD [53]. In this way, interaction maps were obtained from pull-down and two-hybrid Paracoccidioides Pb01 protein data. The names of the proteins correspond to S. cerevisiae, and this correspondence was obtained through analysis of the structural genome databases of Paracoccidioides Pb01 [54] and S. cerevisiae[23].

Far-Western blot assays

Far-Western blot assays were conducted as previously described [9]. PbMLS was submitted to SDS-PAGE and blotted onto nylon membrane. After blocking for 4 h with 1.5% (w/v) BSA in 10 mM PBS-milk and washing three times (for 10 min each) in 10 mM triton in PBS (PBS-T), the membranes were incubated with Paracoccidioides Pb01 mycelium protein extract (100 μg/mL), yeast cells (100 μg/mL) and macrophage protein extract (100 μg/mL), diluted in PBS-T with 2% BSA for 90 min, and then washed three times (for 10 min each) in PBS-T. The membranes were incubated for 18 h with rabbit IgG anti-enolase, anti-triosephosphate isomerase and anti-actin, respectively, in PBS-T with 2% BSA (1:1000 dilution). The blots were washed with PBS-T and incubated with the secondary antibodies anti-rabbit IgG (1:1000 dilution). The blots were washed with PBS-T and subjected to reaction with alkaline phosphatase. The reaction was developed with 5-bromo-4-chloro-3-indolylphosphate / nitro-bluetetrazolium (BCIP–NBT). The negative control was obtained by incubating PbMLS with anti-enolase, anti-triosephosphate isomerase and anti-actin antibodies, without preincubation with the protein extracts. The positive control was obtained by incubating the PbMLS with the anti-PbMLS antibody, following the reaction as previously described. Another Far-Western blot experiment was performed using the same protocol, but protein extracts of Paracoccidioides Pb01 (mycelium, yeast and yeast-secreted) and macrophages were subjected to SDS-PAGE and were blotted onto nylon membrane. The membranes were incubated with PbMLS (100 μg/mL) and subsequently with the primary antibody anti-PbMLS (1:4000 dilution) and the secondary antibody anti-rabbit immunoglobulin (1:1000 dilution). The negative control was obtained by incubating each protein extract with anti-PbMLS antibody, without preincubation with PbMLS.

Immunofluorescence assays

An immunofluorescence experiment was performed as previously described [55]. J774 A.1 mouse macrophage cells (106 cells/mL) were cultured over cover slips in 6-well plates and were subjected to a recombinant PbMLS binding assay. Mammalian cells were cultured in RPMI supplemented with interferon gamma (1 U/mL). The medium was removed, and the cells were washed 3 times with PBS, fixed for 30 min with cold methanol and air-dried. Either recombinant PbMLS (350 μg/mL) or 1% BSA (w/v, negative control) in PBS was added and incubated with fixed macrophage cells at room temperature for 1 h. After the cells were washed 3 times with PBS, anti-PbMLS antibody (1:1000 dilution) was added. The system was incubated for 1 h at 37 °C and washed 3 times with PBS. The cells were incubated with anti-rabbit IgG coupled to fluoresce in isothiocyanate (FITC; 1:100 dilution) for 1 h. The cells were incubated with 50 μM 4′, 6- diamidino-2-phenylindole (DAPI) for nuclear staining.

Confocal laser scanning microscopy

A confocal laser scanning microscopy experiment was performed as described by Batista et al.[56] and Lenzi et al. [57]. A549 cell cultivation and adhesion of the Paracoccidioides strain Pb18 were performed. The total adhesion (infection and invasion) assays were accomplished in 24 well-plates that contained cover slips at the bottom. In all of the tests, a cellular suspension with 106 cells/mL was standardized. After the tripsinization of the cell suspension, 0.2 mL was removed from the bottle and diluted in 1.8 mL of HAM F12 medium. Cells were counted with a hemocytometer after several dilutions until the appropriate concentration was defined. Later, 0.5 mL of the adjusted cell concentration was placed in each well of the plates and incubated at 36°C for 24 h.

The monolayers were fixed and washed in PBS and permeabilized in 0.5% Triton X-100 for 30 min. After the permeabilization step, the primary antibody anti-PbMLS (1:50 in PBS + 3% skimmed milk + 1% BSA) was added for 1 h, unbound antibody was removed by washing in PBS, and then, Alexa Fluor 594-conjugated antibody goat anti-rabbit IgG (1:400) (1:50 in PBS + 3% skimmed milk + 1% BSA) was added for 1 h, followed by three additional washings with frozen PBS-T before mounting in 90% glycerol in PBS, adjusted to pH 8.5 and containing an anti-fading agent (p-phenylenediamine 1 g/L) (Sigma-Aldrich). The specimens were analyzed by laser confocal microscopy using differential interference contrast microscopy (DIC) and fluorescence (LSM 510-META, Zeiss).

3D Structures of PbMLS-interacting proteins

The 3D structures of proteins binding to PbMLS (PbMLS-interacting proteins) were initially predicted by the homology modeling method using the modeler algorithm on the ModWeb server [58]. The quality of the structures predicted was measured at NIH-MBI laboratory servers [59] with the ERRAT web server [60]. A Ramachandran plot of each protein was checked/conferred on the RAMPAGE web server [26, 61], and Verify 3D was used to evaluate the amino acid environments [62]. The percentages of helical and sheet content were estimated using the 2Struc DSSP server [63] and Helix System [64] for linear representation of the secondary structures.

Molecular Dynamics (MD) simulations of these structures were performed using GROMACS software [27, 65] to improve the relaxation and orientation of their side chains and to reproduce the structural stability of the receptor in its native environment [66]. The Particles Mesh Ewald method [67] was used to improve treatment approaches that involve electrostatic interactions with periodic boundary conditions, which were considered in all directions from the box. Initially, the system was neutralized by adding counter ions, and then, it was immediately subjected to minimization using steepest descent energy. The simulations were completed when the tolerance of 1000 kJ/mol was no longer exceeded. The first step in the equilibration of the system was energy relaxation of the solvent for 100 ps (pico seconds); only after this step was the system subjected to MD. With a constant temperature of 300 K, 1 atm pressure, a time-step of 2 fs (femto seconds) and without any restriction of the protein conformations, the simulations were performed for 20 ns (nano seconds) to 60 ns, depending on the protein.

All of the information concerning the trajectory of these times was collected every 5 ps. The equilibration of the trajectory was checked by monitoring the equilibration of the quantities, such as the RMSD of non-hydrogen atoms with respect to the initial structure. Analysis of the total energy, potential energy and kinetic energy were all obtained using GROMACS software. RMSD values between final and template structures also helped to identify the common segments, which corresponds to the structurally conserved region.

The average structure of the entire trajectory was also determined using the g_rms algorithm [68]. The first 10 ns of the trajectory were not used to determine the average structures. All of the water molecules were removed from the selected structures to proceed with the docking simulations in the next step.

Molecular docking

By using the structures of PbMLS-interacting proteins determined by MD as described above, a global search of protein-protein interactions was performed using GRAMM-X software [69]. The Protein-Protein Docking Web Server v.1.2.0 was used to perform rigid docking. Simulations were performed with no pre-conceived bias toward specific residue interactions, and the best model-structure of each complex (PbMLS + PbMLS-interacting proteins) was selected.

Refinement of MD

MD simulations of the complexes were performed to improve the orientation of their side chains and to minimize the high-magnitude repulsive interactions between atoms. Short simulations were performed for the complexes defined by the GRAMM-X software, again using GROMACS software, with the same force field and solvent model previously used to define the 3D-structures of each protein. The system was defined by a cubic box with periodic boundary conditions, and a 9 Å cut-off for non-bond interactions was used for electrostatic interactions treated by the Particle Mesh Ewald method. Overlapping water molecules were deleted, and the systems were neutralized by adding counter ions.

Initially, the system was subjected to minimization using steepest descent energy. The simulations were completed when the tolerance of 1000 kJ/mol was no longer exceeded. After minimization, the system was subjected to a 100 ps simulation in the NVT ensemble and then was immediately subjected to a 100 ps simulation in the NPT ensemble. For both stages, T = 300 K, and the thermostat relaxation constant = 0.1 ps; additionally, a Berendsen thermostat, 1 atm pressure, a time-step of 2 fs and position restraint of the complex were used. After that step, the system was subjected to an MD run in the NPT ensemble. The simulations were performed for 1 ns with a constant temperature of 300 K, 1 atm pressure, a time-step of 2 fs and without any restriction on the complex conformations. The structure of the complex used to define the interface region between the proteins was that obtained at the end of the simulations. Fiberdock software [70] was used to estimate the global-energy that was involved in this interface.

References

  1. Brummer E, Castaneda E, Restrepo A: Paracoccidioidomycosis: an update. Clin Microbiol Rev. 1993, 6: 89-117.

    PubMed  CAS  PubMed Central  Google Scholar 

  2. Bernard G, Kavakama J, Mendes-Giannini MJM, Kono A, Duarte AJ, Shikanai-Yasuda MA: Contribution to the natural history of paracocidioidomycosis: identification of primary pulmonary infection in the severe acute form of the disease - a case report. Clin Infect Dis. 2005, 40: 1-4. 10.1086/426023.

    Article  Google Scholar 

  3. San-Blas G, Niño-Vega G, Iturriaga T: Paracoccidioides brasiliensis and paracoccidioidomycosis: molecular approaches to morphogenesis, diagnosis, epidemiology, taxonomy and genetics. Med Mycol. 2002, 40: 225-242.

    PubMed  CAS  Article  Google Scholar 

  4. Coutinho ZF, Silva D, Lazéra M, Petri V, Oliveira RM, Sasbroza PC, Wanke B: Paracoccidioidomycosis mortality in Brazil. Caderno Saúde Publica. 2002, 18: 1441-1454. 10.1590/S0102-311X2002000500037.

    Article  Google Scholar 

  5. Prado M, Silva MB, Laurenti R, Travassos LR, Taborda CP: Mortality due to systemic mycoses as a primary cause of death or in association with AIDS in Brazil: a review from 1996 to 2006. Mem Inst Oswaldo Cruz. 2009, 104: 513-521. 10.1590/S0074-02762009000300019.

    PubMed  Article  Google Scholar 

  6. Bastos KP, Bailão AM, Borges CL, Faria FP, Felipe MSS, Silva MG, Martins WS, Fiúza RB, Pereira M, Soares CMA: The transcriptome analysis of early morphogenesis in Paracoccidioides brasiliensis mycelium reveals novel and induced genes potentially associated to the dimorphic process. BMC Microbiol. 2007, 10: 7-29.

    Google Scholar 

  7. Derengowski LS, Tavares AH, Silva S, Procópio LS, Felipe MS, Silva-Pereira I: Upregulation of glyoxylate cycle genes upon Paracoccidioides brasiliensis internalization by murine macrophages and in vitro nutritional stress condition. Med Mycol. 2008, 46: 125-134. 10.1080/13693780701670509.

    PubMed  CAS  Article  Google Scholar 

  8. Zambuzzi-Carvalho PF, Cruz AHS, Santos-Silva LK, Goes AM, Soares CMA, Pereira M: The malate synthase of Paracoccidioides brasiliensis Pb01 is required in the glyoxylate cycle and in the allantoin degradation pathway. Med Mycol. 2009, 1: 1-11.

    Article  Google Scholar 

  9. Neto BRS, Silva JF, Mendes-Giannini MJS, Lenzi HL, Soares CMA, Pereira M: The malate synthase of Paracoccidioides brasiliensis is a linked surface protein that behaves as an anchorless adhesion. BMC Microbiol. 2009, 9: 272-284. 10.1186/1471-2180-9-272.

    Article  Google Scholar 

  10. Auerbach D, Thaminy S, Hottiger MO, Stagljar I: The post-genomic era of interactive proteomics: facts and perspectives. Proteomics. 2002, 2: 611-623. 10.1002/1615-9861(200206)2:6<611::AID-PROT611>3.0.CO;2-Y.

    PubMed  CAS  Article  Google Scholar 

  11. Vikis HG, Guan KL: Glutathione-S-transferase-fusion based assays for studying protein-protein interactions. Methods Mol Biol. 2004, 261: 175-186.

    PubMed  CAS  Google Scholar 

  12. Rezende TC, Borges CL, Magalhães AD, de Sousa MV, Ricart CA, Bailão AM, Soares CM: A quantitative view of the morphological phases of Paracoccidioides brasiliensis using proteomics. J Proteomics. 2011, 75: 572-587. 10.1016/j.jprot.2011.08.020.

    PubMed  CAS  Article  Google Scholar 

  13. Ellis RJ, van der Vies SM: Molecular chaperones. Annu Rev Biochem. 1991, 60: 321-347. 10.1146/annurev.bi.60.070191.001541.

    PubMed  CAS  Article  Google Scholar 

  14. MASCOT algorithm. http://www.matrixscience.com,

  15. UniProt databases. http://www.uniprot.org/,

  16. MIPS. http://mips.helmholtz-muenchen.de/genre/proj/yeast/,

  17. BLAST algorithm. http://www.ncbi.nlm.nih.gov,

  18. PEDANT 3 database. http://pedant.helmholtz-muenchen.de/index.jsp,

  19. Costanzo M, Baryshnikova A, Bellay J, Kim Y, Spear ED, Sevier CS, Ding H, Koh JL, Toufighi K, Mostafavi S, Prinz J, St Onge RP, VanderSluis B, Makhnevych T, Vizeacoumar FJ, Alizadeh S, Bahr S, Brost RL, Chen Y, Cokol M, Deshpande R, Li Z, Lin ZY, Liang W, Marback M, Paw J, San Luis BJ, Shuteriqi E, Tong AH, van Dyk N: The genetic landscape of a cell. Science. 2010, 327: 425-431. 10.1126/science.1180823.

    PubMed  CAS  Article  Google Scholar 

  20. Tong A, Boone C: Synthetic genetic array analysis in Saccharomyces cerevisiae. Meth Mol Biol. 2006, 313: 171-192.

    CAS  Google Scholar 

  21. Tong AH, Lesage G, Bader GD, Ding H, Xu H, Xin X, Young J, Berriz GF, Brost RL, Chang M, Chen Y, Cheng X, Chua G, Friesen H, Goldberg DS, Haynes J, Humphries C, He G, Hussein S, Ke L, Krogan N, Li Z, Levinson JN, Lu H, Ménard P, Munyana C, Parsons AB, Ryan O, Tonikian R, Roberts T: Global mapping of the yeast genetic interaction network. Science. 2004, 303: 808-813. 10.1126/science.1091317.

    PubMed  CAS  Article  Google Scholar 

  22. Collins SR, Miller KM, Maas NL, Roguev A, Fillingham J, Chu CS, Schuldiner M, Gebbia M, Recht J, Shales M, Ding H, Xu H, Han J, Ingvarsdottir K, Cheng B, Andrews B, Boone C, Berger SL, Hieter P, Zhang Z, Brown GW, Ingles CJ, Emili A, Allis CD, Toczyski DP, Weissman JS, Greenblatt JF, Krogan NJ: Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map. Nature. 2007, 446: 806-810. 10.1038/nature05649.

    PubMed  CAS  Article  Google Scholar 

  23. Structural genome databases of Saccharomyces cerevisiae. http://www.broadinstitute.org/annotation/genome/saccharomyces_cerevisiae,

  24. The GRID protein interaction databases. http://thebiogrid.org/,

  25. Osprey network visualization system - version 1.2.0. http://biodata.mshri.on.ca/osprey/servlet/Index,

  26. RAMPAGE web server. http://mordred.bioc.cam.ac.uk/~rapper/rampage.php,

  27. GROMACS software. http://www.gromacs.org/,

  28. Cho S, Park SG, Lee DH, Park BC: Protein-protein interaction networks: from interactions to networks. J Biochem Mol Biol. 2004, 37: 45-52. 10.5483/BMBRep.2004.37.1.045.

    PubMed  CAS  Article  Google Scholar 

  29. Felipe MS, Andrade RV, Arraes FB, Nicola AM, Maranhão AQ, Torres FA, Silva-Pereira I, Poças-Fonseca MJ, Campos EG, Moraes LM, Andrade PA, Tavares AH, Silva SS, Kyaw CM, Souza DP, Pereira M, Jesuíno RS, Andrade EV, Parente JA, Oliveira GS, Barbosa MS, Martins NF, Fachin AL, Cardoso RS, Passos GA, Almeida NF, Walter ME, Soares CM, Carvalho MJ, Brígido MM: Transcriptional profiles of the human pathogenic fungus Paracoccidioides brasiliensis in mycelium and yeast cells. J Biol Chem. 2005, 280: 24706-24714. 10.1074/jbc.M500625200.

    PubMed  Article  Google Scholar 

  30. Gietl C: Malate dehydrogenase isoenzymes: cellular locations and role in the flow of metabolites between the cytoplasm and cell organelles. Biochim Biophys Acta. 1992, 1100: 217-234. 10.1016/0167-4838(92)90476-T.

    PubMed  CAS  Article  Google Scholar 

  31. Hanks SK, Quinn AM, Hunter T: The protein kinase family: conserved features and deduced phylogeny of the catalytic domains. Science. 1998, 241: 42-52.

    Article  Google Scholar 

  32. Silva AH, Brock M, Zambuzzi-Carvalho PF, Santos-Silva LK, Troian RF, Góes AM, Soares CMA, Pereira M: Phosphorylation is the major mechanism regulating isocitrate lyase activity in Paracoccidioides brasiliensis yeast cells. FEBS Journal. 2011, 278: 2318-2332. 10.1111/j.1742-4658.2011.08150.x.

    Article  Google Scholar 

  33. Vallejo MC, Nakayasu ES, Matsuo AS, Sobreira TJP, Longo LVG, Ganiko L, Almeida IC, Puccia R: Vesicle and vesicle-free extracellular proteome of Paracoccidioides brasiliensis: Comparative analysis with other pathogenic fungi. J Proteome Res. 2012, 11: 1676-1685. 10.1021/pr200872s.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  34. Bonin-Debs AL, Boche I, Gille H, Brinkmann U: Development of secreted proteins as biotherapeutic agents. Expert Opin Biol Ther. 2004, 4: 551-558. 10.1517/14712598.4.4.551.

    PubMed  CAS  Article  Google Scholar 

  35. Tjalsma H, Antelmann H, Jongbloed : Proteomics of protein secretion by Bacillus subtilis: separating the “secrets” of the secretome. Microbiol and Mol Biol Rev. 2004, 68: 207-233. 10.1128/MMBR.68.2.207-233.2004.

    CAS  Article  Google Scholar 

  36. Weber SS, Parente AFA, Borges CL, Parente JA, Bailão AM, Soares CMA: Analysis of the secretomes of Paracoccidioides mycelia and yeast cells. PLoS ONE. 2012, 7: e52470-10.1371/journal.pone.0052470.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  37. Marchais V, Kempf M, Licznar P, Lefrançois C, Bouchara JP, Robert R, Cottin J: DNA array analysis of Candida albicans gene expression in response to adherence to polystyrene. FEMS Microbiol. 2005, 245: 25-32. 10.1016/j.femsle.2005.02.014.

    CAS  Article  Google Scholar 

  38. González A, Gomez BL, Diez S, Hernandez O, Restrepo A, Hamilton AJ, Cano LE: Purification and partial characterization of a Paracoccidioides brasiliensis protein with capacity to bind to extracellular matrix proteins. Infect Immun. 2004, 73: 2486-2495.

    Article  Google Scholar 

  39. Barbosa MS, Bao SN, Andreotti PF, De Faria FP, Felipe MSS, Feitosa LS, Mendes-Giannini MJS, Soares CMA: Glyceraldehyde-3-phosphate dehydrogenase of Paracoccidioides brasiliensis is a cell surface protein involved in fungal adhesion to extracellular matrix proteins and interaction with cells. Infect Immun. 2006, 74: 382-389. 10.1128/IAI.74.1.382-389.2006.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  40. Mendes-Giannini MJS, Hanna SA, da Silva JL, Andretti PF, Vicentini LR, Bernard G, Lenzi HL, Soares CP: Invasion of epithelial mammalian cells by Paracoccidioides brasiliensis leads to cytoskeletal rearrangement and apoptosis of the host cell. Microbes Infect. 2004, 6: 882-891. 10.1016/j.micinf.2004.05.005.

    PubMed  Article  Google Scholar 

  41. Castro NDS, Barbosa MS, Maia ZA, Báo SN, Felipe MS, Santana JM, Mendes-Giannini MJS, Pereira M, Soares CMA: Characterization of Paracoccidioides brasiliensis PbDfg5p, a cell-wall protein implicated in filamentous growth. Yeast. 2008, 25: 141-154. 10.1002/yea.1574.

    CAS  Article  Google Scholar 

  42. Pereira LA, Bao SN, Barbosa MS, Silva JL, Felipe MS, Santana JM, Mendes-Giannini MJS, Soares CMA: Analysis of the Paracoccidioides brasiliensis triosephosphate isomerase suggests the potentialfor adhesin function. FEMS Yeast Res. 2007, 7: 1381-1388. 10.1111/j.1567-1364.2007.00292.x.

    PubMed  CAS  Article  Google Scholar 

  43. Donofrio FC, Calil AC, Miranda ET, Almeida AM, Benard G, Soares CP, Nogueira SV, Soares CMA, Mendes-Giannini MJS: Enolase from Paracoccidioides brasiliensis: isolation and identification as fibronectin-binding protein. J Med Microbiol. 2009, 58: 706-713. 10.1099/jmm.0.003830-0.

    PubMed  CAS  Article  Google Scholar 

  44. Coelho Neto J, Agero U, Oliveira DC, Gazzinelli RT, Mesquita ON: Real-time measurements of membrane surface dynamics on macrophages and the phagocytosis of Leishmania parasites. Exp Cell Res. 2005, 303: 207-217. 10.1016/j.yexcr.2004.09.002.

    PubMed  CAS  Article  Google Scholar 

  45. Pereanez JA, Gómez ID, Patino AC: Relationship between the structure and the enzymatic activity of crotoxin complex and its phospholipase A2 subunit: An in silico approach. J Mol Graph and Model. 2012, 35: 36-42.

    CAS  Article  Google Scholar 

  46. Burger AM, Seth AK: The ubiquitin-mediated protein degradation pathway in cancer: therapeutic implications. Eur J Cancer. 2004, 40: 2217-2229. 10.1016/j.ejca.2004.07.006.

    PubMed  CAS  Article  Google Scholar 

  47. Jeferry CJ: Mass spectrometry and the search for moonlighting proteins. Mass Spectrom Rev. 2005, 24: 772-782. 10.1002/mas.20041.

    Article  Google Scholar 

  48. Borges CL, Pereira M, Felipe MSS, Faria FP, Gomez FJ, Deepe GS, Soares CMA: The antigenic and catalytically active formamidase of Paracoccidioides brasiliensis: protein characterization, cDNA and gene cloning, heterologous expression and functional analysis of the recombinant protein. Microbes Infect. 2005, 7: 66-77. 10.1016/j.micinf.2004.09.011.

    PubMed  CAS  Article  Google Scholar 

  49. Bradford MM: A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976, 72: 248-254. 10.1016/0003-2697(76)90527-3.

    PubMed  CAS  Article  Google Scholar 

  50. Cell Bank in Rio de Janeiro, Brazil. http://b200.nce.ufrj.br/bcrj/index.php?option=com_content&task=view&id=10&Itemid=30,

  51. Borges CL, Parente JA, Barbosa MS, Santana JM, Báo SN, Sousa MV, Soares CMA: Detection of a homotetrameric structure and protein-protein interactions of Paracoccidioides brasiliensis formamidase lead to new functional insights. FEMS Yeast Res. 2010, 10: 104-113. 10.1111/j.1567-1364.2009.00594.x.

    PubMed  CAS  Article  Google Scholar 

  52. Breitkreutz BJ, Stark C, Tyers M: Osprey: a network visualization system. Genome Biol. 2003, 4: 22-10.1186/gb-2003-4-3-r22.

    Article  Google Scholar 

  53. Saccharomyces Genome Database – SGD. http://www.yeastgenome.org/,

  54. Structural genome databases of Paracoccidioides brasiliensis. http://www.broadinstitute.org/annotation/genome/paracoccidioides_brasiliensis,

  55. Bailão AM, Nogueira SV, Bonfim SMRC, Castro KP, da Silva JF, Mendes-Giannini MJS, Pereira M, Soares CMA: Comparative transcriptome analysis of Paracoccidioides brasiliensis during in vitro adhesion to type I collagen and fibronectin: identification of potential adhesins. Res Microbiol. 2012, 163: 182-191. 10.1016/j.resmic.2012.01.004.

    PubMed  Article  Google Scholar 

  56. Batista WL, Matsuo AL, Ganiko L, Barros TF, Veiga TR, Freymüller E, Puccia R: The PbMDJ1 gene belongs to a conserved MDJ1/LON locus in thermodimorphic pathogenic fungi and encodes a heat shock protein that localizes to both the mitochondria and cell wall of Paracoccidioides brasiliensis. Eukaryot Cell. 2006, 5: 379-390. 10.1128/EC.5.2.379-390.2006.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  57. Lenzi HL, Pelajo-Machado M, Vale BS, Panasco MS: Microscopia de Varredura Laser Confocal: Princípios e Aplicações Biomédicas. Newslab. 1996, 16: 62-71.

    Google Scholar 

  58. Eswar N, John B, Mirkovic N, Fiser A, Ilyin VA, Pieper U, Stuart AC, Marti-Renom MA, Madhusudhan MS, Yerkovich B: Tools for comparative protein structure modeling and analysis. Nucleic Acids Res. 2003, 31: 3375-3380. 10.1093/nar/gkg543.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  59. NIH-MBI laboratory servers. http://nihserver.mbi.ucla.edu,

  60. Colovos C, Yeates TO: Verification of protein structures: patterns of nonbonded atomic interactions. Protein Sci. 1993, 2: 1511-1519. 10.1002/pro.5560020916.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  61. Lovell SC, Davis IW, Arendall WB, Bakker PIW, Word JM, Prisant MG, Richardson JS, Richardson DC: Structure validation by Calpha geometry: phi, psi and Cbeta deviation. Proteins Struct Funct Genet. 2002, 50: 437-450.

    Article  Google Scholar 

  62. Luthy R, Bowie JU, Eisenberg D: Assessment of protein models with three-dimensional profiles. Nature. 1992, 356: 83-85. 10.1038/356083a0.

    PubMed  CAS  Article  Google Scholar 

  63. Kabsch W, Sander C: Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical feature. Biopolymers. 1983, 22: 2577-2637. 10.1002/bip.360221211.

    PubMed  CAS  Article  Google Scholar 

  64. Helix System. http://helix.nih.gov,

  65. Okimoto N, Futatsugi N, Fuji H, Suenaga A, Morimoto G, Yanai R, Ohno Y, Narumi T, Tai M: High-performance drug discovery: computational screening by combining docking and molecular dynamics simulations. PLoS Comput Biol. 2009, 5: e1000528-10.1371/journal.pcbi.1000528.

    PubMed  PubMed Central  Article  Google Scholar 

  66. Sakkiah S, Thangapandian S, Woo-Lee K: Pharmacophore modeling, molecular docking, and molecular dynamics simulation approaches for identifying new lead compounds for inhibiting aldose reductase. J Mol Model. 2012, 2: 2249-2747.

    Google Scholar 

  67. Darden T, York D, Pederson L: Particle mesh Ewald: An N·log(N) method for Ewald sums in large systems. J Chem Phys. 1993, 98: 10089-10092. 10.1063/1.464397.

    CAS  Article  Google Scholar 

  68. Maiorov VN, Crippen GM: Size-independent comparison of protein three- dimensional structures. Proteins Struct Funct Genet. 1995, 22: 273-283. 10.1002/prot.340220308.

    PubMed  CAS  Article  Google Scholar 

  69. Tovchigrechko A, Vakser IA: GRAMM-X public web server for protein-protein docking. Nucleic Acids Res. 2006, 34: 310-314.

    Article  Google Scholar 

  70. Mashiach E, Nussinov R, Wolfson HJ: FiberDock: flexible induced-fit backbone refinement in molecular docking. Proteins. 2009, 78: 1503-1519.

    Google Scholar 

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Acknowledgements

This study at the Universidade Federal de Goiás was supported by Ministério da Ciência e Tecnologia/Conselho Nacional de Desenvolvimento Científico e Tecnológico (MCTI/CNPq), Fundo Nacional de Desenvolvimento Científico e Tecnológico (FNDCT), Fundação de Amparo à Pesquisa do Estado de Goiás (FAPEG), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Financiadora de Estudos e Projetos (FINEP) and INCT_IF (Instituto Nacional de Ciência e Tecnologia para Inovação Farmacêutica). Additionally, KMO, BRSN and GOQ were supported by a fellowship from CNPq. The authors would like to thank Henrique Leonel Lenzi (In memoriam) and Marcelo Pelajo Machado from Laboratory of Pathology, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil, for help with confocal microscopy.

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Authors and Affiliations

  1. Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, GO, Brazil

    Karine Martins de Oliveira, Benedito Rodrigues da Silva Neto, Juliana Alves Parente, Célia Maria de Almeida Soares & Maristela Pereira

  2. Núcleo Colaborativo de BioSistemas, Campus Jatobá, Universidade Federal de Goiás, Goiânia, GO, Brazil

    Roosevelt Alves da Silva & Guilherme Oliveira Quintino

  3. Laboratório de Micologia Clínica, Universidade Estadual Paulista, Araraquara, SP, Brazil

    Aline Raquel Voltan & Maria José Soares Mendes-Giannini

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  1. Karine Martins de Oliveira
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  2. Benedito Rodrigues da Silva Neto
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Correspondence to Maristela Pereira.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

KMO performed pull-down assays, Far-Western blot assays and immunofluorescence microscopy. BRSN performed two-hybrid assays and prepared samples for confocal microscopy assays. KMO and BRSN prepared the interaction maps. RAS and GOQ performed Molecular Docking and Molecular Dynamics. ARV and MJSMG performed confocal microscopy assays. KMO, BRSN, RAS, MJSMG, JAP, CMAS and MP contributed to the discussion of the data and preparation of the manuscript. MP conceived, designed and coordinated the study. All authors contributed to the discussion of results. All the authors have read and approved the final manuscript.

Electronic supplementary material

12866_2013_1986_MOESM1_ESM.tiff

Additional file 1: Figure S1: Pull-down assays for the determination of in vitro interactions between PbMLS and other proteins of Paracoccidioides. (A) Purification of GST protein (lane 1) and recombinant PbMLS (lane 2) by affinity resin. The proteins detected after the purification of PbMLS were removed from the gel and identified by MS (Additional file 2: Table S1). GST protein was incubated with protein extracts of Paracoccidioides mycelium (B), yeast (C), secretions (D) and macrophages (E), during which we aimed to remove nonspecific binding proteins (lane 1). After incubation, the supernatant was incubated with PbMLS-GST (purified). The protein complex resulting from this interaction was resolved by SDS-PAGE (lane 2). The proteins numbered were removed from the gel and identified by MS (Additional file 2: Table S1). (DOCX )

Additional file 2: Table S1: PbMLS -interacting proteins by using pull-down assays identified by MS. (DOCX 32 KB)

Additional file 3: Table S2: PbMLS-interacting proteins identified by pull-down assays. (DOCX 23 KB)

12866_2013_1986_MOESM4_ESM.docx

Additional file 4: Table S3: Gene products interacting with PbMLS by using two-hybrid assay identified by sequencing. (DOCX 17 KB)

12866_2013_1986_MOESM5_ESM.docx

Additional file 5: Table S4: PbMLS-interacting proteins already described in the database interactions The GRID indicated in Figure 1. (DOCX 16 KB)

Additional file 6: Table S5: 3D Models informations of PbMLS and PbMLS-interacting proteins. (DOC 70 KB)

Additional file 7: Table S6: Key residues and scores of the protein-protein interaction interface. (DOCX 18 KB)

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de Oliveira, K.M., da Silva Neto, B.R., Parente, J.A. et al. Intermolecular interactions of the malate synthase of Paracoccidioides spp. BMC Microbiol 13, 107 (2013). https://doi.org/10.1186/1471-2180-13-107

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Keywords

  • Paracoccidioides spp
  • Malate synthase
  • Protein-protein interactions

BMC Microbiology

ISSN: 1471-2180

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