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Eukaryotic Cell, February 2009, p. 241-250, Vol. 8, No. 2
1535-9778/09/$08.00+0 doi:10.1128/EC.00208-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.
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Department of Dermatology, Centre Hospitalier Universitaire Vaudois, Av. de Beaumont 29, 1011 Lausanne, Switzerland,1 DNA Array Facility, Center for Integrative Genomics, University of Lausanne, Genopode Building, 1015 Lausanne, Switzerland,2 Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Junior Research Group Fundamental Molecular Biology of Pathogenic Fungi, Beutenbergstr. 11a, D-07745 Jena, Germany3
Received 25 June 2008/ Accepted 5 December 2008
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In order to better understand the basic mechanisms of protein degradation by dermatophytes, the secretome of different dermatophyte species was previously analyzed during in vitro growth on protein-containing media. By two-dimensional polyacrylamide gel electrophoresis and a shotgun mass spectrometry approach, secreted proteins from T. rubrum and T. violaceum were identified in soy culture supernatants, including endo- and exoproteases and other hydrolases (8). Such analyses of proteolytic dermatophyte supernatants, however, are limited to the identification of secreted proteins. In addition, the possibility could not be excluded that many secreted proteins were degraded because of the high proteolytic activity of the supernatant and hence were not detectable by this approach. Genetic manipulation in dermatophyte research has been hampered by the limited number of available genetic tools and the lack of full genome sequences. Only a small number of genes have therefore been studied, and functional analysis by targeted gene disruption has been demonstrated only in a very few selected cases (6, 7, 35). High-throughput gene discovery by expressed sequence tag (EST) sequencing and cDNA-based microarrays provide additional valuable methodologies for the analysis of biological systems. In dermatophytes, recent applications of such techniques revealed the transcriptional response of T. rubrum cells in distinct developmental growth phases and in the presence of novel fatty acid synthase inhibitors (16, 33). Differential cDNA screening allowed first insights into the response of Trichophyton mentagrophytes and T. rubrum during growth on protein substrates (12, 19); nevertheless, the basic mechanisms of adaptation during growth under such conditions need further investigations. The aim of the present study was to analyze a broad gene expression profile by cDNA microarray analysis in T. rubrum cells during keratin utilization. Our research was devised not only to monitor the expression of protease genes in T. rubrum during protein utilization but also to reveal other dermatophyte-specific mechanisms which are involved in this putative pathogenicity-related process.
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cDNA library construction and EST sequencing. A T. rubrum cDNA library was previously constructed from RNA derived from 10-day-old T. rubrum soy cultures (10), and the cloned inserts were sequenced to generate a collection of 3,804 ESTs, representing a total of 2,145 clusters composed of 514 contigs and 1,631 singletons (37). In the present study, we identified the EST sequences by use of the annotations from the T. rubrum Expression Database (www.mgc.ac.cn/TrED/). The T. rubrum Expression Database contains more than 40,000 EST sequences (January 2008) representing 10,224 clusters.
Microarray construction. Plasmid inserts of the cDNA library were amplified by PCR in a 100-µl PCR mixture with primer SP6 and 3' poly(T) primers each starting with 15 T's followed by an A, C, or G. PCR mixtures contained 50 ng of plasmid DNA, 5 U of Taq polymerase (Sigma, Buchs, Switzerland), 0.4 µM primers, 0.25 µM deoxynucleoside triphosphates, and Sigma buffer. An initial 2-min denaturation step at 94°C was followed by 35 cycles of 30 s at 94°C, 60 s at 40°C, and 7 min at 70°C. The reaction ended with an additional incubation step of 10 min at 70°C. The longest and shortest plasmid inserts corresponding to ESTs of the same contig and all singletons were used as templates. PCR products were visually analyzed on a 2% agarose Invitrogen E-gels 96 and classified as "single band," "weak or multiple bands," or "no band." The names of clones classified in the latter two categories were given an "f" or a "d" suffix, respectively. The collection is composed of 2,626 PCR products plus 11 full-length cDNA sequences of previously described T. rubrum genes (Table 1). The PCR products were resuspended in 30 µl water and transferred into duplicate 384-well plates with a Tecan liquid-handling robot (Tecan, Männedorf, Switzerland). Afterwards, the PCR products were dried, resuspended in 20 µl 3x SSC (1x SSC is 0.15 M NaCl plus 0.015 M sodium citrate)-1.5 M betaine and printed in triplicate on aldehydesilane-coated slides (Nexterion Slide AL; Schott Nexterion, Jena, Germany) with an Omnigrid 300 contact-printing robotic microarrayer (Genomic Solutions, Ann Arbor, MI) equipped with SMP3 pins (TeleChem International Inc.). Spike controls (Lucidea Universal Scorecard; GE Healthcare) were included in each subgrid of the microarray. Spot and printing quality was assessed visually after printing, and the DNA was cross-linked to the slides by baking at 80°C for 1 h. The slides were then processed with NaBH4 (Fluka, Buchs, Switzerland) by the protocol recommended by the manufacturer. Including the controls and spots from empty wells, the microarray contained a total of 9,408 spots.
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TABLE 1. Primers for amplification of full-length protease cDNA sequences
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Data analysis. Tagged image file format images corresponding to the Cy5 and Cy3 fluorescence emission channels were extracted with GenePix Pro 6.0 software (Molecular Devices, Sunnyvale, CA). Statistical analysis of the data was performed with open-source R software packages (http://www.r-project.org/ and http://www.BioConductor.org/). Gene expression levels were quantified with the limma package by using global loess normalization without background subtraction (30, 36). The resulting expression measurements for each array are the log2 ratios (M values) and the average log2 intensities (A values) of the Cy3 and Cy5 signals. The median M values of the triplicate cDNA probes on each microarray were subsequently used for the analysis. Adjustment for multiple testing was performed by Benjamini and Hochberg's method to control the false-discovery rate (FDR). Statistical analyses were done by pairwise comparisons of cultures grown on soy medium or keratin-soy medium versus Sabouraud medium with the Bioconductor limma package (29). To further assess the differences in gene expression of cultures grown on keratin-soy medium versus cultures grown on soy medium, a linear model was used in limma which took into account all soy medium versus Sabouraud medium, keratin-soy medium versus Sabouraud medium, and direct keratin-soy medium versus Sabouraud medium hybridizations. A metabolic pathway analysis was performed by use of tools provided by the Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www.genome.ad.jp/kegg/).
Quantitative real-time RT-PCR. In order to validate the microarray results, we performed quantitative real-time reverse transcriptase PCR (RT-PCR) analysis of a selection of eight genes (Table 2). Specific primers and 5'-6-carboxyfluorescein-3' Black Hole Quencher probes were designed with PrimerExpress 2.0 software (Applied Biosystems); all of the primers and probes used (Table 2) were ordered from Microsynth (Balgach, Switzerland) and Eurogentec (Seraing, Belgium), respectively. Expression of target genes was quantified by two-step quantitative RT-PCR analysis. Briefly, 200 ng of total RNA was mixed with 0.25 ng of random hexamers (Invitrogen) and reverse transcribed with 200 U of Superscript Reverse Transcriptase II (Invitrogen) and RNasin (Promega). Quantitative PCR conditions were as follows. One nanogram of freshly diluted cDNA was mixed with TaqMan Universal PCR Master Mix (Applied Biosystems) and primers and probes with final concentrations of 900 and 200 nM, respectively. The cycling conditions were as follows: 50°C for 2 min, initial denaturation at 95°C for 10 min, and 45 cycles of 15 s at 95°C and 1 min at 60°C. All samples were tested in triplicate, and for each probe-primer set, reaction efficiency estimates were derived from standard curves generated with serial dilutions of a cDNA sample. The threshold cycle values obtained with the SDS software (Applied Biosystems) were exported into qBase version 1.3.5, a Visual Basic Excel-based script for the management and automated analysis of quantitative PCR data for further analysis (9). Threshold cycle values were transformed to relative quantities and analyzed with geNorm 3.4 software (31). This Microsoft Excel application identifies the most stable reference genes from a set of candidate normalization genes in a given panel of cDNA samples. To correct for any variation in mRNA content and variation in enzymatic efficiency, the relative quantities of the genes of interest were normalized with the geometric mean of the two most stable housekeeping genes. These genes, which encode T. rubrum chitin synthase (TrMZG10ACO) and ADP-ribosylation factor (TrMZC10ACH), respectively, were selected by a sequential pairwise comparison. Briefly, the two genes with the lowest intragroup variation were selected and a gene stability measure, M, was defined as the average pairwise variation. The stability measure M was below the value defined as threshold acceptance (M < 0.5). All PCR plates were assembled with a Tecan Freedom Evo (Männedorf, Switzerland) liquid handler, and the quantitative PCRs were performed with an ABI Prism 7900 sequence detection system.
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TABLE 2. Primers and fluorescent probes used for quantitative real-time RT-PCR
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(TrMZF11ACI) and Ef-3 (TrMZA02ABD); a putative HacA transcription factor (TrMZB07ACL); and metabolic enzymes such as a putative 4-hydroxyphenylpyruvate dioxygenase (TrMZF01ACG), a glutamine synthetase (TrMZH05ACQ), an oxalate decarboxylase (TrMZE11ACL), and an aspartate aminotransferase (TrMZG07ACN). As expected, many of the abundant ESTs encode known secreted proteases such as Sub3 and Sub5, the fungalysins metalloprotease 1 (Mep1) and Mep3, and leucine aminopeptidase 2 (Lap2). Notably, a number of sequences that encode hypothetical proteins were identified (Table 3). These sequences could be dermatophyte specific since no homology with any sequences deposited in the public databases was found by BLAST search. |
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TABLE 3. Clusters with the most abundant ESTs (five or more)a
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TABLE 5. T. rubrum genes commonly upregulated in both soy and keratin-soy mediac
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TABLE 6. Changes in T. rubrum protease gene expression in soy and keratin-soy media compared to Sabouraud mediumd
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During the growth of T. rubrum in soy medium, 179 and 110 genes were found to be up- and downregulated, respectively, compared to growth in Sabouraud medium. In keratin-soy medium, 258 genes were upregulated and 222 genes were downregulated. The expression profiles of soy medium versus Sabouraud medium and keratin-soy medium versus Sabouraud medium were very similar but not identical, as indicated by the higher number of differentially expressed T. rubrum genes in the latter profile (Fig. 1). Most of the genes specifically regulated in keratin-soy medium, however, were expressed at a comparatively low level, and only a minor set of genes was strongly activated (only 10 genes more than fivefold) or repressed (only 1 gene more than fivefold) (Table 4). Among the highly upregulated, keratin-specific genes, we identified sequences that encode a not-yet-described putative Lap1-like protease (TrMZE06ACL), a putative Rpn4 C2H2 transcription factor (TrMZA01AAW), and potentially dermatophyte-specific hypothetical protein-encoding genes.
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FIG. 1. Venn diagrams showing the numbers of genes which are specifically upregulated (A) and downregulated (B) during the growth of T. rubrum in either soy or keratin-soy medium compared to Sabouraud medium, respectively.
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TABLE 4. T. rubrum genes only differentially regulated in keratin-soy medium versus Sabouraud medium and not in soy medium versus Sabouraud mediumd
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Activation of multiple protease genes in T. rubrum during growth on proteins. We examined in detail the expression of T. rubrum genes that encode secreted proteases because of their presumed role in both protein degradation and pathogenicity. Table 6 details the expression values of 22 distinct protease genes detected in the pairwise comparisons of T. rubrum grown in soy medium versus Sabouraud medium and keratin-soy medium versus Sabouraud medium, respectively. In both of the protein-containing media, a comparable set of protease genes was upregulated in the fungal cells. In particular, members of the two dermatophyte-specific endoprotease gene families of Subs and fungalysins were strongly induced, i.e., SUB3 and SUB4, as well as MEP3 and MEP4, respectively. SUB5 was found to be only moderately activated in both protein-containing media. In addition, genes that encode exoproteases were found to be strongly activated in both protein-containing media, for example, Lap genes LAP1 and LAP2, as well as the metallocarboxypeptidase gene MCPA.
Some of the commonly activated protease genes, such as SUB3, MEP1, MEP3, MEP4, LAP2, and MCPA, appeared to be even more strongly induced during growth in keratin-soy medium than in soy medium. Interestingly, induction of a small number of protease genes was detected only during growth on either soy or keratin-soy medium. For example, SUB1 was found to be activated only during growth in keratin-soy medium, albeit at a comparatively low level, as were MEP2 and DPPV. In contrast, the genes SUB6 and SCPB were shown to be upregulated only during growth in soy medium compared to keratin-soy medium. Other protease genes, such as SUB7 and DPPIV, were not found to be significantly activated during growth in either protein-containing medium. The direct comparison of T. rubrum cultures grown on keratin-soy and soy media confirmed that commonly activated protease genes such as MEP1, MEP4, SUB3, and MCPA were expressed at higher levels during growth in keratin-soy medium than during growth in soy medium (see Table S2C in the supplemental material). The gene with the highest n-fold expression change in this comparison encodes neutral protease II-1 (NpII-1), which was significantly downregulated in T. rubrum during growth on soy medium compared to growth on Sabouraud medium (Table 6).
Validation of microarray data by quantitative real-time RT-PCR. Upregulation of the T. rubrum protease genes SUB3, SUB4, and MCPA in soy and keratin-soy media, as well as the differential activation of SUB6 in these two protein-containing media, was validated by quantitative real-time RT-PCR (Table 7). Differences in the expression levels among the three replicates were detected; i.e., upregulation of SUB3, SUB4, and MCPA in keratin-soy medium was stronger in samples keratin-soyB and keratin-soyC than in sample keratin-soyA, whereas SUB4 and SUB6 were expressed in soy medium at a higher level in samples soyA and soyC than in sample soyB. In summary, a large but comparable set of different proteolytic enzymes was activated in T. rubrum during growth in either soy or keratin-soy medium, supporting the view that multiple secreted proteases manage the efficient proteolysis of such substrates. Upregulation of the genes that encode isocitrate lyase (TrMZA01AAT) and malate synthase (TrMZD06ACI) of the glyoxylate cycle was also validated in soy and keratin-soy media (Table 7).
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TABLE 7. Expression of selected T. rubrum protease genes during growth in Sabouraud, soy, and keratin-soy media measured by quantitative RT-PCR
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Two protein substrates were studied in our microarray analysis, soy and keratin-soy liquid media. Both media promote high secreted proteolytic activity by the fungus. Transcriptional analysis was performed at a time point of active fungal growth, when substantial proteolytic activity was recorded with a concomitant clarification of the media and dissolution of the water-insoluble keratin granules. In these conditions, a high degree of similarity was observed in the transcriptional response of T. rubrum during growth on each protein source, i.e., after 10 days of growth in soy medium and 28 days in keratin-soy medium, respectively. In particular, genes that encode major keratinases such as endoproteases Mep3 and Mep4, as well as Sub3 and Sub4, were commonly upregulated. In agreement with this finding, sequences that encode Sub3 and Mep3 were also among the most abundant transcripts in our EST collection. Among the exoproteases genes, a strong upregulation of the T. rubrum genes LAP1 and LAP2 was observed in both of the protein-containing media, and MCPA was particularly strongly upregulated in keratin-soy medium. In contrast to recent secretome analyses of T. rubrum soy medium cultures (8), we also identified the activation of protease genes MEP1, MEP2, and DPPV, notably, the latter two only during the growth of T. rubrum in keratin-containing medium. Expression of individual protease genes on keratin has also been detected by suppression-subtractive hybridization screens in T. mentagrophytes, i.e., dipeptidyl peptidase V (12) and in T. rubrum, i.e., Sub3, Sub5, Mep3, and Mep4 (19).
Individual protease genes were found to be activated at a significantly higher level in keratin-soy medium than in soy medium. However, these differences may not necessarily be substrate specific but could also be influenced by other parameters, e.g., different incubation times. In the filamentous fungus N. crassa, a coordinately regulated expression of genes with multiple cellular functions was demonstrated to be clock controlled (2; reviewed in reference 5), and a differential gene expression was detected in the concentric growth zones of Aspergillus niger on solid agar (15). In order to exclude the possibility that activation of distinct protease genes in keratin-soy medium is merely related to the age of the culture rather than substrate specific, an additional time course analysis by quantitative RT-PCR was conducted (data not shown). In this experiment, significant proteolytic activity was detected after 30 and 37 days of growth of T. rubrum in keratin-soy medium, along with keratinolysis and strong expression of protease genes SUB3, SUB4, and MCPA. In contrast, in poorly growing 23-day-old cultures, we detected neither keratin dissolution nor significant proteolytic activity and expression of the protease genes analyzed. This observation strengthens our present results and the hypothesis that proteolytic activity and protein degradation by T. rubrum are strongly correlated with the expression of distinct protease genes.
Transcriptional profiling in T. rubrum during growth on soy and keratin-soy protein-containing media revealed not only a common activation of proteases but also activation of other factors which could be involved in protein utilization. Notably, a sequence that encodes an Hsp70 protein (TrMZE08ACQ) was found to be strongly upregulated during growth in both protein-containing media, i.e., soy and keratin-soy media, compared to Sabouraud medium. Interestingly, the closely related Hsp70 protein Lhs1 (lumenal Hsp70) in Saccharomyces cerevisiae is located in the endoplasmic reticulum lumen and involved in protein precursor translocation and folding (3); S. cerevisiae LHS1 mutants were demonstrated to be defective in the translocation of several secretory preproteins. Since the induced T. rubrum HSP70 gene is concomitantly expressed with genes that encode major secreted proteases, the putative Hsp70 chaperone could be involved in the folding and/or secretion of these enzymes. Another heat shock gene, HSP70 (TrMZA12ACM), was the most abundant transcript in our EST collection. This gene was found to be expressed at higher levels in T. rubrum when it was exposed to elevated growth temperatures (27). However, our microarray analyses did not detect a differential expression of this HSP70 gene during the growth of T. rubrum in protein-containing media compared to Sabouraud medium at 30°C. Interestingly, a closely related, likely orthologous HSP70 sequence was recently identified as the most abundant transcript in a Pneumocystis carinii EST library derived from infected lung tissue (4). Seven other HSP70 sequences were detected in our EST collection. Heat shock proteins may not only be involved in environmental adaptation processes but are also known to be immunodominant antigens, e.g., in the related dermatophyte T. mentagrophytes and other fungal pathogens (1, 22).
Of major interest also appears to be the strong upregulation of key enzymes of the glyoxylate cycle in T. rubrum during growth on proteins, the putative malate synthase and isocitrate lyase. This observation suggests a particular function of this metabolic pathway in protein utilization by T. rubrum which could also be important in dermatophyte pathogenicity. In addition, the glyoxylate cycle is absent in mammals and therefore represents a potential drug target. Whereas this pathway appears to be dispensable for A. fumigatus-induced invasive aspergillosis (26, 28), it was found to be virulence associated in infections by other microbial pathogens such as Mycobacterium tuberculosis and the yeast Candida albicans (17, 21). In these pathogens, enzymes of the glyoxylate pathway were shown to contribute to the persistence of the microbes in phagocytic immune cells, a function which remains elusive for dermatophytes.
Exploring the adaptive response of dermatophytes during proteolysis, the identification of transcription factors also appears to be of interest. In both protein-containing media, the activation of a putative C6 Pro1 and an HLH transcription factor was detected in T. rubrum. The putative zinc finger transcription factor Pro1 shares homology with A. fumigatus RosA and NosA, which are known regulators of sexual development in A. nidulans. Interestingly, A. nidulans NosA is induced during late asexual development and also upon carbon starvation (32). In Sordaria macrospora, the C6 zinc finger transcription factor Pro1 was shown to be required for fruiting body development (20). Upregulation of a putative Rpn4 transcription factor was only found in keratin-soy medium. In S. cerevisiae, Rpn4 (also called Son1) is known to regulate genes that encode proteasomal subunits, the function of which is putatively linked to the unfolded protein response and endoplasmic reticulum-associated protein degradation processes (18, 25). Sequences that encode a putative HacA transcription factor were detected among the most abundant transcripts. HacA controls the unfolded protein response in eukaryotic cells, a regulatory pathway with multiple functions in the folding and secretion of proteins. A possible correlation of this pathway with the high secretory activity of dermatophytes appears to be of interest.
Since the particular ability of dermatophytes to grow on proteins such as keratin has long been discussed as the most important pathogenicity-related factor, our studies should contribute to a better understanding of the basic molecular mechanisms in the pathogenesis of these fungi. Molecular techniques in dermatophytes will probably further improve in the future, allowing us to functionally characterize candidate genes by genetic manipulation. Nevertheless, infection of the host is presumably much more complex, and transcriptional analysis in dermatophytes during infection is necessary to further decipher the relevant characteristics which make these fungi the most common agents of superficial mycoses.
Published ahead of print on 19 December 2008. ![]()
Supplemental material for this article may be found at http://ec.asm.org/. ![]()
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