Abstract
Aspergillus fumigatus is the most common airborne pathogen causing fatal mycoses in immunocompromised patients. During the first 8 hours of development A. fumigatus conidia break dormancy, expand isotopically, establish an axis of polarity, and begin to extend germ tubes in a polar manner. The transition from isotropic to polar growth is critical for tissue invasion and pathogenesis. In the current work, we used two-color microarrays to examine the A. fumigatus transcriptome during early development, focusing on the isotropic to polar switch. The most highly regulated transcripts in the isotropic to polar switch did not include known polarity genes. Transcripts encoding the Cdc42 module, polarisome components, and septins, known to be critical players in polarity, showed relatively steady levels during the isotropic to polar switch. Indeed, these transcripts were present in dormant conidia, and their levels changed little from dormancy through germ tube emergence. Not only did the isotropic to polar switch show little change in the expression of key polarity genes of the Cdc42 module, polarisome, and septins, it also showed the lowest overall levels of both up- and downregulation in early development.
Keywords: polarity, transcriptome, polarisome
Introduction
The filamentous fungus Aspergillus fumigatus is one of the leading agents of invasive fungal disease.1 Like many other filamentous fungi, A. fumigatus reproduces by means of abundant conidia. When inhaled by the immunocompromised, these conidia break dormancy and eventually develop into highly polar hyphae that invade tissue and disseminate causing disease.2 Previous in vitro work has shown that when multiple A. fumigatus dormant conidia are simultaneously inoculated to carbon containing medium they break dormancy and maintain roughly synchronous development through the first several nuclear divisions.3 Conidia expand isotropically for several hours before germ tubes emerge and extend to form hyphae. The paradigm for polar growth in filamentous fungi is that isotropically expanding cells first pick a spot at which to establish an axis of polarity and deposit cortical markers. Next products of key polarity genes (e.g., the Cdc42 module and polarisome; Table 1) are recruited to the cortical markers, and finally the cell growth machinery (e.g. actin, septins, and cell wall biosynthetic enzymes) is reoriented to add new cellular components in the correct place resulting in asymmetric growth.4–8 This paradigm suggests that if polarity establishment is transcriptionally controlled, the transcription of polarity genes should be greatly upregulated shortly before early polarized growth. To investigate the switch between isotropic and polar growth, we profiled the transcriptome of A. fumigatus during early vegetative development.
Table 1.
Selected genes directing polarity in filamentous fungi.
Polarity component | Gene name | A. fumigatus gene |
---|---|---|
Cdc42 module | modA, CDC42 | Afu2g05740 |
CDC24 | Afu4g11450 | |
RGA1 | Afu1g12680 | |
BEM2 | Afu3g06280 | |
BEM3 | Afu6g06400 | |
claA, CLA4 | Afu5g05900 | |
Polarisome | sepA/cdc11 formin | Afu6g04940 |
sepG, spaA | Afu2g03710 | |
budA | Afu1g09640 | |
bemA | Afu4g04120 | |
STE20 | Afu7g04330 | |
Actin | actA | Afu6g04740 |
Septins | aspA septin | Afu5g08540 |
aspB septin | Afu7g05370 | |
aspC septin | Afu5g03080 | |
aspD septin | Afu1g08850 |
Materials and methods
Strains and growth conditions
The clinical isolate A. fumigatus Af293 (Nierman et al. 2005) was used in all experiments. The strain was cultured on CM agar (0.6% NaNO3, 0.052% KCl, 0.052% MgSO4•7H2O, 0.152% KH2PO4, 0.1% Glucose, 0.2% Peptone, 0.1% Yeast Extract, 0.1% Casamino acid, 0.0001% Biotin, 0.0001% Pyridoxine, 0.0001% Thiamine, 0.0001% Riboflavin, 0.0001% ρ-aminobenzoic acid, 0.0001% Nicotinic acid, and trace elements). To measure synchrony of early development, 3.0 × 106 conidia/ml were inoculated to 50 ml of liquid CM and incubated at 37°C with shaking at 220 rpm. Cells were harvested at 0, 2 h, 4 h, 6 h, and 8 h of incubation and fixed in 3.7% formaldehyde, 50 mM phosphate buffer (pH 7.0) and 0.2% Triton X-100 for 30–60 min. Cells were washed with water, incubated for 5 min with 10 μg/ml calcofluor white (Bayer) to label septa and 100 ng/ml Hoechst 33258 (Sigma) to label nuclei, washed again and mounted on a microscope slide for viewing.9 In each of three independent assays, 200 conidia were microscopically examined, nuclei were counted, and morphology was scored as dormant (small round conidia the same size as in inoculum), isotropically expanding (round cells larger than dormant conidia), polar (visible small germ tube), and branched (any visible branch emerging). Cells were observed and photographed using a Zeiss Axioplan microscope and Zeiss MC100 microscope camera system.
Microarray analysis
Flasks containing 150 ml complete medium were inoculated with conidia to a final concentration of 3.0 × 106 / ml and incubated for 0, 2, 4, 6, and 8 h at 37°C with constant shaking (220 rpm). Following incubation, cells were harvested using a Steritop filter (Millipore), frozen, ground with liquid nitrogen, and RNA purified using TRIzol (Invitrogen) and the RNeasy MiniElute Clean up kit (Qiagen) according to the manufacturers’ instructions. The cDNA synthesis and indirect Cy dye incorporation were performed using the standard J. Craig Venter Institute (JCVI) protocol (standard operating procedure [SOP] M007) with the following modifications: Six micrograms of total RNA were used in the first-strand cDNA reaction with a 3:1 aminoallyl-dUTP to dTTP ratio. Dried aminoallyl labeled cDNA was resuspended in 9 ml of 50 mM sodium carbonate (pH 9.0) and added directly to the appropriate dye vial from the Amersham CyDye postlabeling reactive dye pack (RPN5661). The resulting labeled cDNA was hybridized to an A. fumigatus glass slide microarray spotted with 70-mers representing all predicted open frames (PFGRC/TIGR A. fumigatus microarray, version 3) according to the standard JCVI protocol (SOP M0008). Three biological replicates were performed using cultures grown in parallel, and technical dye swap replicates were carried out for each biological replicate for a total of four hybridizations. The slides were scanned using a Perkin-Elmer ScanArray microarray scanner, and the resulting tagged-image format file images were imported into TIGR Spotfinder (version 3.1.1). Raw intensities were calculated for each detectable spot using the Otsu method, and quality control filtering was used to eliminate values from spots with poor morphology or low signal-to-noise ratios. The resulting intensities were then imported into TIGR MIDAS (version 2.20), and spots with values of <10,000 were removed from the data set using the low intensity filter.
For analysis of relative transcript abundance, normalization was done using the LOWESS (Locifit) algorithm (global mode; 0.33 smoothing parameter), and print tip bias was addressed using standard deviation regularization. The dye swap consistency filter was used to remove data for genes with inconsistent expression levels between dye swap replicates. Finally, the in-slide replicate function was used to average the normalized intensity values representing replicate spots on the array. The resulting data were analyzed using Microsoft Excel, and genes that had a greater than twofold difference in expression were identified. Microarray data are available at Gene Expression Omnibus (accession no. GSE7541).
For analysis of temporal transcript profiles, data were quantile normalized using Genespring GX 11.02 (Agilent). Spotfinder data sets from two-color microarray hybridization analysis described above were separated into Cy3 and Cy5 channels and ranked using the method of Bolstad et al.10 Expression levels in adjacent timepoints were compared to determine fold change. Heat maps were constructed using hierarchical clustering.
RT-PCR and qPCR
RNA isolation was as described for microarray analysis except that instead of grinding in liquid nitrogen, frozen samples were mixed with 1 ml of 0.5 mm glass beads (Biospec no. 11079105z) in 2 ml tubes and homogenized using the Retsch Mixer Mill 400 (30 Hz, 1 min). Three independent experiments were performed for each time point (biological replicates). The iScript Reverse Transcription Supermix for RT-qPCR (BioRad) was used to prepare cDNA from 1 ug of total RNA according to the manufacturer's instructions. The resulting cDNA was diluted 1:5. Primer sequences for qPCR were determined using the software QuantPrime available online.11The qPCR was carried out using 1.5 ul of diluted cDNA in 15 ul reactions, 1.5 ul of 200 nM primer pairs, and 7.5 ul of 2× Maxima SYBR Green qPCR Master Mix (Thermo Scientific). The following PCR protocol was used on Agilent Stratagene Mx3005P (96-well plates) real-time PCR systems: 2 min at 50°C, 10 min at 95°C, 30 s at 95°C, and 1 min at 60°C repeated in 40 cycles, followed by melting curve analysis. Each qPCR analysis was repeated three times (technical replicates). Cycle threshold (Ct) values for each reaction were calculated using Agilent Mx3005P software, with baseline set to cycle 10–15 and threshold to 0.1 Rn. Real-time PCR amplification efficiencies were calculated using the LinRegPCR tool.12 The expression levels of all genes of interest were the normalized to the geometric mean of gpdA and hho1 (histone H1) expression.13 Primers are shown in Table 2.
Table 2.
qRT-PCR primers.
Gene name | Sequence number | Fw | Rv |
---|---|---|---|
aspD | Afu1g08850 | GAGATCCAGACTGTCTCCCACATC | ACCCGGTGTGTCGACAATGTTC |
cdc24 | Afu4g11450 | ATGGAACTGCGCAAACAAACCG | AGTCGAGAACAGACTGGATGGTG |
cdc42 | Afu2g05740 | TCTTTGATGAGGCGATTGTTGCG | GACGCATCTGGACTTCTTCTTCGG |
claA | Afu5g05900 | TTGCGACAATCTGTGCCGAGAC | CGTAAGTTTGGCGCAGAAACCG |
gdpA | Afu5g01970 | ACGAGATCAAGCAGGCCATC | TCAGTGTAGCCGAGGATGTTC |
hho1 | Afu3g06070 | AGAGCGTAACGGTAGCAGTC | CGGCCTTGATAGCCTTGTTG |
Results
To investigate the transcriptional program underlying the isotropic to polar switch, we inoculated conidia of A. fumigatus clinical isolate Af293 to complete medium (CM) with shaking at 37°C. We monitored morphology and isolated RNA at set time points. As expected, early development was relatively synchronous (Fig. 1). At 0 h dormant conidia had a single nucleus and were small and round. At 2 h and 4 h conidia had a single nucleus and were isotropically expanding. At 6 h most cells had four nuclei (92%), and all had polarized, showing a teardrop shape. At 8 h most cells had eight nuclei (85%), and all had short germ tubes.
Figure 1.
Aspergillus fumigatus early growth is synchronized. (A) A. fumigatus conidia were inoculated to complete medium and microscopically monitored for small dormant conidia (open circles with solid line), isotropically- expanding conidia (open squares with broken line), germ tube emergence (triangles with bold solid line), and branch emergence (filled squares with broken line); n = 200. Error bars represent the standard error of three biological replicates. (B) Representations of the morphology found in most of the population at the corresponding time point.
To investigate the isotropic to polar switch, relative transcript abundance among mRNAs during isotropic expansion, between isotropic expansion and polarity establishment, and during early polar growth was analyzed by two color hybridization against A. fumigatus oligonucleotide microarrays (Fig. 2). We expected that the expression levels of many genes would show large changes coinciding with the large morphological shift of polarity establishment at 6 h. Because we were most interested in the genes with the largest expression changes during polarity establishment, we used an arbitrary greater than twofold change to identify the most differentially expressed genes. To our surprise, we saw the fewest changes in gene expression during the isotropic to polar switch. We saw a greater than twofold change in only 80 genes in 4 h samples relative to 6 h samples, with 46 being upregulated at 6 h and 34 being downregulated at 6 h (Fig. 2, Table 3). To our surprise, no known polarity genes were among the most highly regulated during the isotropic to polar switch (Tables 1 and 3). However, among the 40 most highly upregulated genes were several associated with the cytoskeleton and cell wall that likely play roles in remodeling of cell morphology at this time. The upregulated genes include the actin-binding protein profilin, chitinase, two putative GPI-anchored proteins, two predicted adhesin-like proteins, and the allergen AspF4 (Table 3). A number of iron-associated genes were also upregulated in early polar growth including a putative siderophore biosynthesis lipase, a putative ortholog of Sit1 (a siderophore-iron transporter), and a high affinity iron permease. Also of interest is the up-regulation of an ortholog of Hex1, the protein that makes up the Woronin bodies that plug septa. Upregulation is consistent with previous work that showed that these bodies are visible well before septation.14
Figure 2.
Transcriptional profiling by microarray. Dotted lines indicate sample pairs analyzed by two-color hybridization on microarrays. The number of genes whose transcripts showed at least twofold increase is indicated on the top. The number of the genes whose transcripts showed at least twofold decrease is indicated on the bottom. Arrows indicate strategy for comparative gene expression analysis whereby arrow head points from reference sample to test sample. All changes in gene expression are expressed relative to test sample.
Table 3.
Transcripts with largest fold change in isotropic to polar switch (4 to 6 h).
Locus | Aspergillus fumigatus annotation | log2a | |
---|---|---|---|
Upregulated | |||
1 | Afu5g03010 | conserved hypothetical protein | 4.60 |
2 | Afu5g08830 | HEX1 | 4.24 |
3 | Afu5g03760 | class III chitinase ChiA1 | 3.35 |
4 | Afu4g07300 | hypothetical protein | 3.23 |
5 | Afu1g05790 | GPI anchored protein, putative | 2.92 |
6 | Afu3g03390 | Putative siderophore biosynthesis lipase/esterase | 2.71 |
7 | Afu2g07680 | L-ornithine N5-oxygenase | 2.41 |
8 | Afu2g07800 | GPI anchored protein, putative | 2.18 |
9 | Afu5g11380 | rho-gdp dissociation inhibitor | 2.04 |
10 | Afu4g03760 | glycine dehydrogenase | 1.93 |
11 | Afu7g05950 | EF-hand protein | 1.88 |
12 | Afu2g07810 | cytosolic hydroxymethyltransferase, putative | 1.81 |
13 | Afu1g10780 | glycine cleavage system T protein | 1.76 |
14 | Afu7g02570 | heterokaryon incompatibility protein (Het-C), putat. | 1.74 |
15 | Afu4g14380 | conserved hypothetical protein | 1.73 |
16 | Afu4g08580 | antioxidant protein LsfA | 1.71 |
17 | Afu2g06100 | DUF907 domain protein | 1.69 |
18 | Afu4g03050 | profilin | 1.67 |
19 | Afu4g11730 | glycerol dehydrogenase (GldB), putative | 1.67 |
20 | Afu1g12070 | glycine cleavage system H protein | 1.66 |
21 | Afu2g10030 | vip1 protein | 1.64 |
22 | Afu6g05210 | malate dehydrogenase, NAD-dependent | 1.64 |
23 | Afu4g09080 | C2H2 transcription factor (Seb1), putative, putative | 1.62 |
24 | Afu8g07090 | Predicted adhesin-like protein | 1.59 |
25 | Afu6g08530 | sister chromatid separation protein (Src1), putative | 1.54 |
26 | Afu2g06150 | disulfide isomerase, putative | 1.54 |
27 | Afu1g17200 | Putative nonribosomal peptide synthetase (NRPS) involved in | 1.53 |
ferricrocin siderophore biosynthesis | |||
28 | Afu3g11830 | phosphoglucomutase | 1.51 |
29 | Afu1g03720 | UPF0136 domain protein | 1.49 |
30 | Afu7g06060 | siderochrome-iron transporter (Sit1), putative | 1.46 |
31 | Afu5g03800 | high-affinity iron permease CaFTR2 | 1.46 |
32 | Afu1g15300 | choline transport protein, putative | 1.45 |
33 | Afu7g02340 | L-PSP endoribonuclease family protein (Hmf1), putative | 1.42 |
34 | Afu3g10300 | galactokinase | 1.41 |
35 | Afu3g05530 | condensin complex component cnd1 | 1.39 |
36 | Afu5g10780 | UDP-glucose 4-epimerase | 1.36 |
37 | Afu3g08650 | Putative C1-tetrahydrofolate synthase | 1.35 |
38 | Afu1g13940 | Predicted adhesin-like protein | 1.34 |
39 | Afu2g01040 | formaldehyde dehydrogenase | 1.31 |
40 | Afu2g03830 | allergen Asp F4 | 1.30 |
Downregulated | |||
1 | Afu3g09690 | Laminin-binding protein with extracellular thaumatin domain | −3.21 |
2 | Afu4g08960 | GPI anchored protein, putative | −3.16 |
3 | Afu6g03910 | integral membrane protein, Mpv17/PMP22 family, putative | −2.39 |
4 | Afu4g11250 | carbonic anhydrase family protein | −2.27 |
5 | Afu5g10890 | DNA replication licensing factor Mcm6, putative | −1.96 |
6 | Afu4g03360 | GPI anchored protein, putative | −1.75 |
7 | Afu6g00510 | NADP-dependent alcohol dehydrogenase | −1.70 |
8 | Afu4g05900 | conserved hypothetical protein | −1.65 |
9 | Afu8g02430 | NADP-dependent alcohol dehydrogenase | −1.65 |
10 | Afu3g11430 | arginase | −1.64 |
11 | Afu2g09060 | DNA replication licensing factor Mcm4, putative | −1.60 |
12 | Afu2g15440 | integral membrane protein, putative | −1.56 |
13 | Afu8g01710 | antigenic thaumatin domain protein, putative | −1.52 |
14 | Afu1g00530 | thermoresistant gluconokinase family protein | −1.47 |
15 | Afu5g13020 | DNA polymerase alpha/primase associated subunit | −1.34 |
16 | Afu7g00920 | hypothetical protein | −1.32 |
17 | Afu5g14210 | glucose-repressible gene protein-related protein | −1.32 |
18 | Afu3g08990 | cspA, Repeat-rich glycophosphatidylinositol (GPI)-anchored cell wall protein | −1.28 |
19 | Afu4g04270 | thymidylate synthase | −1.25 |
20 | Afu6g11130 | possible replication factor-a protein | −1.21 |
21 | Afu5g02520 | DNA replication licensing factor Mcm5, putative | −1.19 |
22 | Afu3g14010 | DNA replication licensing factor Mcm2, putative | −1.18 |
23 | Afu2g10020 | hypothetical protein | −1.18 |
24 | Afu7g05630 | hypothetical protein | −1.17 |
25 | Afu1g01190 | hypothetical protein | −1.14 |
26 | Afu4g07970 | DNA polymerase delta subunit 2, putative | −1.11 |
27 | Afu1g06100 | glutaredoxin | −1.11 |
28 | Afu6g05040 | DNA replication factor C subunit Rfc4, putative | −1.07 |
29 | Afu4g08830 | telomere length regulator protein (Rif1), putative | −1.07 |
30 | Afu1g15610 | oxidoreductase, zinc-binding dehydrogenase family, putative | −1.07 |
31 | Afu2g11260 | 3-isopropylmalate dehydratase, putative | −1.03 |
32 | Afu3g08710 | protein kinase domain-containing protein | −1.03 |
33 | Afu1g14930 | hypothetical protein | −1.02 |
34 | Afu6g03050 | oleate delta-12 desaturase | −1.00 |
35 | Afu2g13210 | DnaJ domain protein | −0.99 |
36 | Afu5g03230 | stress response RCI peptide, putative | −0.99 |
37 | Afu4g08600 | aldehyde dehydrogenase, putative | −0.98 |
38 | Afu2g05560 | exonuclease, putative | −0.97 |
39 | Afu3g11030 | histone chaperone (ASF1), putative | −0.97 |
40 | Afu2g10420 | branched-chain amino acid aminotransferase, cytosolic | −0.96 |
aratio average
The most highly down-regulated genes in early polar growth (4 to 6 h) included seven predicted to encode proteins that are cell wall or membrane resident: a laminin-binding protein, three putative GPI anchored proteins, two putative integral membrane proteins, and an antigenic protein. Among the highly downregulated genes was also a large group predicted to encode proteins involved in DNA synthesis: two putative DNA polymerase associated subunits, a putative DNA replication factor and four putative DNA replication licensing factors, three of which had been upregulated in isotropic growth. The downregulation of DNA synthesis genes is consistent with our observation that the first mitosis leading from a single nucleus to two nuclei begins after 4 h and was completed by 6 h. Not only did the isotropic to polar switch (4 to 6 h) show little regulation of polarity genes, it also showed the lowest overall levels of both up- and downregulation of gene expression in early growth (Fig. 2). The highest level of differential expression occurred between the dormant and early isotropic stages (0 to 1 h).
Our two-color hybridization experiments were designed specifically to compare gene expression between dormant conidia (0 h) and isotropic cells (1 h, 2 h, and 4 h) and between isotropic cells (4 h) and polar cells (6 h and 8 h). To allow comparison between consecutive time points, we quantile normalized our data. In quantile normalization color channels are separated, each spot is ranked by intensity, and intensity rankings for each time point are averaged. Signal rankings can then be compared between any two time points.10
Consistent with our two-color hybridization results, quantile normalized data showed the highest level of greater than twofold upregulated gene expression between dormant conidia and early isotropic expansion (0 to 1 h) and relatively few genes showed large levels of up- or downregulation in the isotropic to polar switch (4 to 6 h) (Fig. 3). The quantile normalized data revealed an unexpectedly large number of downregulated transcripts in late isotropic expansion (2 to 4 h). However, when we specifically examined the transcription of the Cdc42 module, polarisome, septins, and actin, we found that, with the exception of actin, they showed relatively steady levels of expression throughout early development, and especially in the isotropic to polar switch at 4 h to 6 h (Fig. 4). To validate our microarray results, we performed qRT-PCR on four polarity genes (Fig. 5). The expression levels of two polarity genes, aspD and cla4, showed very little change during early isotropic expansion and early polar growth. The other two genes, cdc42 (modA) and cdc24, rose just after dormancy was broken and then fell in the early timepoints, but were relatively stable during the isotropic to polar switch, consistent with the microarray results.
Figure 3.
Transcriptional profiling by quantile normalization. Two color hybridization data was quantile normalized to allow comparison between time points. The number of genes whose transcripts showed at least twofold increase between adjacent timepoints is indicated on the top. The number of the genes whose transcripts showed at least twofold decrease between adjacent timepoints is indicated on the bottom. Arrows indicate strategy for comparative gene expression analysis whereby arrow head points from reference sample to test sample. All changes in gene expression are expressed relative to test sample.
Figure 4.
Core polarity gene transcripts change little from dormancy to polar growth. Heat map of quantile normalized data shows expression differences between adjacent timepoints. The Cdc42 module, polarisome components and septins do not change much during the isotropic to polar switch (4 to 6 h).
Figure 5.
qRT-PCR of selected polarity genes. Expression levels of selected polarity genes normalized to the geometric mean of two controls (gpdA and hho1).
Discussion
The most striking morphological change in the early development of A. fumigatus takes place during the transition from nonpolar to polar growth with the emergence of the germ tube. The conidium itself is formed by nonpolar growth processes—budding and isotropic expansion on the conidiophore.15,16 Thus, we predicted that the conidium would carry no or few transcripts encoding the proteins needed to establish polarity and that transcription of the corresponding genes would be highly upregulated before germ tube emergence during the isotropic to polar switch. However, our experiments show that transcripts for the key polarity genes in the Cdc42 module and the polarisome are already present in the dormant conidium at levels that are similar to those in isotropically expanding and early polar cells. Our results also show that the 40 genes showing the most highly differential up- and downregulation do not include any obvious polarity-associated genes. Our results suggest that at least for Cdc42 and the polarisome, transcripts are packed into the dormant conidium, rather than being induced for polar growth.
We saw a relatively flat expression profile during the isotropic to polar switch for many genes and the biggest transcriptional changes were during the first hour after breaking dormancy. A recent study of Aspergillus niger conidia showed a similar pattern with many transcripts packed into the conidium and large changes in transcripts levels both up and down in the first hour after breaking dormancy and much smaller changes at 4 to 6 h.17
It is certainly possible that other polarity-associated genes that are not among the most highly expressed in the cell act to trigger polarity establishment or that post-transcriptional mechanisms drive polarity establishment. Future work will address these possibilities.
Acknowledgments
This work was supported in part by the National institutes of Health/National Institute of Allergy and Infectious Disease (NIH/NIAID) (grant 5R21AI074846-02 to MM), the Medical Research Council (MRC) (G0501164 to EB), Biotechnology and Biological Sciences Research Council (BBSRC) (BB/G009619/1 to EB), the Wellcome Trust (WT093596MA to EB), and the Royal Society (grant IE140502 to EB and MM).
Declaration of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and the writing of the paper.
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