Skip to main content
PLOS Pathogens logoLink to PLOS Pathogens
. 2023 Oct 31;19(10):e1011435. doi: 10.1371/journal.ppat.1011435

The Aspergillus fumigatus UPR is variably activated across nutrient and host environments and is critical for the establishment of corneal infection

Manali M Kamath 1, Jorge D Lightfoot 1, Emily M Adams 2, Ryan M Kiser 3, Becca L Wells 1, Kevin K Fuller 1,2,*
Editor: Robert A Cramer4
PMCID: PMC10637725  PMID: 37906600

Abstract

The Aspergillus fumigatus unfolded protein response (UPR) is a two-component relay consisting of the ER-bound IreA protein, which splices and activates the mRNA of the transcription factor HacA. Spliced hacA accumulates under conditions of acute ER stress in vitro, and UPR null mutants are hypovirulent in a murine model of invasive pulmonary infection. In this report, we demonstrate that a hacA deletion mutant (ΔhacA) is furthermore avirulent in a model of fungal keratitis, a corneal infection, and an important cause of ocular morbidity and unilateral blindness worldwide. Interestingly, we demonstrate that A. fumigatus hacA is spliced in infected lung samples, but not in the cornea, suggesting the amount of ER stress experienced by the fungus varies upon the host niche. To better understand how the UPR contributes to fungal cell biology across a spectrum of ER-stress levels, we employed transcriptomics on the wild-type and ΔhacA strains in glucose minimal media (low stress), glucose minimal media with dithiothreitol (high stress), and gelatin minimal media as a proxy for the nutrient stress encountered in the cornea (mid-level stress). These data altogether reveal a unique HacA-dependent transcriptome under each condition, suggesting that HacA activity is finely-tuned and required for proper fungal adaptation in each environment. Taken together, our results indicate that the fungal UPR could serve as an important antifungal target in the setting of both invasive pulmonary and corneal infections.

Author summary

Fungal keratitis has emerged as a leading cause of ocular morbidity and unilateral blindness worldwide. Relative to other infectious contexts, however, little is known about the fungal genes or pathways that regulate invasive growth and virulence in the corneal environment. In this report, we demonstrate that genetic disruption of the Aspergillus fumigatus unfolded protein response (UPR) abolishes the ability of the mold to establish infection in a mouse model of FK. Despite this critical role for virulence, however, we did not detect a concerted activation of the pathway beyond levels observed on standard medium, suggesting that the host environment is not an acute source of endoplasmic reticulum stress. Transcriptomic profiling of the wild-type and UPR-deficient strains under host-relevant nutrient conditions revealed a critical role for the pathway in regulating primary and secondary metabolism, cell wall biology, and mitochondrial function, all of which likely modulate fungal growth within and interactions with the host. These results expand our understanding of UPR regulation and function in this important mold pathogen and suggest the pathway could serve as a target for novel antifungals that improve visual outcomes in the setting of fungal keratitis.

Introduction

The pathogenic potential of Aspergillus fumigatus and other fungi is tied to the functional integrity of the endoplasmic reticulum (ER). First, the organelle serves as the synthetic hub for a myriad of cell surface or secreted virulence proteins, including 1) cell wall remodeling enzymes that facilitate apical extension and stress resistance, 2) hydrolases that promote nutrient acquisition from, and penetration through host tissue, and 3) transporters involved in macro/micronutrient uptake or efflux [15]. Second, numerous stresses encountered within the host environment – e.g., hypoxia, oxidative stress, or nutrient limitation that places a demand on hydrolase secretion – may cumulatively lead to a cytotoxic aggregation of unfolded peptides in the ER that will induce cell death if left unchecked [2,6,7]. The unfolded protein response (UPR) is an evolutionarily conserved signaling pathway that senses ER stress and drives a transcriptional response that restores protein folding and secretory homeostasis [2,8,9]. Thus, by virtue of its role in ER function, the UPR is a de facto regulator of virulence and a putative target for novel antifungal therapy.

The UPR of A. fumigatus is a two-component relay that generally follows the canonical pathway described in Saccharomyces cerevisiae [1012]. The sensing module, IreA, is an ER transmembrane protein whose luminal domain interacts with the protein chaperone BipA/Kar2 under homeostatic conditions. BipA dissociates upon the accumulation of unfolded proteins in the lumen, leading to an oligomerization of IreA molecules that promotes the trans-autophosphorylation of its cytosolic kinase domain and activation of its endoribonuclease domain. The latter splices a 20 bp unconventional intron from the cytosolic hacA transcript (hacAu, uninduced), leading to a frame-shifted isoform (hacAi, induced) that encodes a bZIP transcription factor that provides output for the UPR [13,14]. Work from Askew and colleagues demonstrated that 1) hacAi is the most abundant splice form in A. fumigatus following treatment with the thiol-reducing agent dithiothreitol (DTT) and, 2) treatment with DTT or tunicamycin, the latter of which inhibits protein glycosylation and normal peptide folding, leads to the induction of ~60 genes in an IreA and HacA dependent manner [15]. This “inducible UPR” (iUPR) consists primarily of genes that promote protein folding (e.g. chaperones, foldases, protein glycosylases) and vesicle trafficking, which is consistent with known UPR-regulated genes in other fungi [15]. The A. fumigatus UPR also regulates the expression of calcium ATPases that facilitate the influx of Ca2+ ions needed for chaperone function [16]. It follows, therefore, that both ireA or hacA deletion mutants are hypersensitive to stressors that acutely unfold proteins (high temperature, DTT, TM) or block the egress of proteins from the ER (brefeldin A) [1618]. The ΔhacA or ΔireA strains are furthermore growth defective on protein-rich media, such as skim milk agar, which correlates with a lack of detectable collagenase activity from culture supernatants [14]. This suggests that the enhanced secretory burden experienced on polymeric substrates, and putatively in the lung, is another source of ER stress that promotes increased hacA splicing and UPR induction.

Although hacAu is the dominant splice form under homeostatic conditions (e.g. rich media), there is nevertheless a detectable hacAi product at all times. This tracks with a slight growth and conidiation defect of the ΔhacA or ΔireA strains on standard lab media and suggests that HacA buffers low-level ER stress associated with normal growth and developmental processes. Interestingly, the microarray study by Feng et al. identified ~250 genes that are regulated by IreA and HacA on a rich medium, only 9 of which overlapped with the iUPR defined after DTT and TM treatment [15]. This so-called “basal UPR” (bUPR) includes genes enriched in oxidative metabolism and mitochondrial function, which is distinct from the enriched gene categories associated with the iUPR. One possible explanation is that the bUPR and iUPR are two ends of an activity spectrum that is fine-tuned at the level of hacA splicing. In this scenario, UPR gene expression is solely dependent on the canonical HacA protein encoded by the hacAi mRNA. Another possibility is that the bUPR is qualitatively distinct and driven by a protein product encoded by the hacAu mRNA [19]. To date, the UPR-dependent transcriptome of A. fumigatus has only been evaluated under conditions of low (rich medium) or acute (e.g. DTT) ER stress, and so a more intermediate level UPR activation and output, if it exists, has yet to be interrogated.

The importance of the UPR in A. fumigatus pathogenesis has been evaluated in several murine models of invasive pulmonary aspergillosis (IPA), where ΔhacA displays an approximately 50% reduction in virulence based on cumulative mortality [14]. The role of HacA in this regard, as eluded to above, is likely multifactorial. Individual phenotypes associated with ΔhacA – including reduced hydrolase secretion, a hypersensitivity to iron limitation [20,21] and cell wall stress [2225] each have a presumed or demonstrated role in fungal adaptation to the lung environment and probably contribute additively to the virulence phenotype. Interestingly, the ΔireA mutant is avirulent in the same infection model. This is consistent with the fact that ΔireA displays a greater growth defect at 37°C and an increased sensitivity to iron and nutrient limitation (relative to ΔhacA). While this supports a model in which IreA has yet-to-be-identified functions beyond hacA splicing, the virulence of ΔireA could be restored to wild-type levels by introducing a constitutively spliced hacA (hacAi) allele [15]. While this does indicate a specific role for the iUPR in supporting A. fumigatus virulence, hacA splicing within infected tissue has not been formally demonstrated to the best of our knowledge.

Beyond the lung, A. fumigatus is also an important causative agent of fungal keratitis (FK), a sight-threatening infection of the cornea that affects 1–2 million individuals globally [26]. The disease occurs when fungal spores or hyphal fragments gain entry to the corneal tissue following damage to the protective epithelium, predominantly as a result of agriculture-related trauma or contact lens wear [27,28]. In all contexts, however, the combination of invasive hyphal growth and leukocytic infiltration causes acute pain, photophobia, and a disruption to the optical properties of the cornea that results in vision loss [2931]. FK results in the need for corneal transplantation in ~40% of cases and a wholesale removal of the eye in about 10% [26]. As with IPA, the poor outcomes of FK are due, in part, to the inadequacy of current antifungals, for which only the polyene natamycin has received FDA-approved for corneal use [32,33]. Thus, it is a major goal of our group to identify A. fumigatus pathways that support virulence in both the lung and corneal environments, allowing for the development of novel antifungals with dual use. The cornea is avascular, immune-privileged, and beyond a thin epithelial and endothelial layer, the bulk of its structure (the central stroma) is a dense extracellular matrix (ECM) of collagen and other proteoglycans. Although these features distinguish the corneal environment from that of the lung, we hypothesized that the fungal UPR would regulate virulence in both environments due to shared ER stressors, including nutrient limitation or oxidative stress derived from infiltrating leukocytes.

In this study, we demonstrate that an A. fumigatus ΔhacA mutant is avirulent in a murine model of IPA and FK, suggesting the pathway is activated and functions similarly in the pulmonary and corneal microenvironments. Interestingly, however, we note that the degree of fungal hacA splicing differs based on the infectious site, with splicing in the lung resembling DTT-treated cultures (iUPR) and splicing in the cornea being indistinguishable from control culture conditions (bUPR). To gain a deeper understanding of how the UPR might regulate adaptation under conditions of variable ER stress, we performed RNA-sequencing on wild-type and ΔhacA strains under three conditions: glucose minimal media (GMM) as a reference for the bUPR, GMM + dithiothreitol as reference for the iUPR, and gelatin minimal media that likely reflects the proteinaceous environment of the cornea. In the wild-type strain, gelatin media did not promote the upregulation of genes typically associated with the iUPR, suggesting nutrient limitation alone is not sufficient to acutely activate the canonical iUPR response. Nevertheless, the pathway does regulate key metabolic pathways that are unique to growth on gelatin, including those involved in alternative carbon utilization, cell wall homeostasis, redox balance, and secondary metabolism. These data suggest that the cornea fails to drive an iUPR response and instead leads to an intermediate level of UPR activation that has a unique transcriptional signature.

Results

The A. fumigatus hacA mRNA is not spliced beyond basal levels on proteinaceous substrates or in the infected cornea

In order to drive FK development, A. fumigatus must assimilate nutrients from and penetrate through the dense collagen matrix of the corneal stroma. Our interest in the fungal UPR as a potential virulence determinant in the cornea was therefore based on two simple and connected hypotheses: first, that A. fumigatus upregulates the expression of various secreted proteases in vivo and, second, that an upregulation in secretion would lead to ER stress and activate the iUPR as determined by increased hacA splicing above baseline. To confirm these predictions, we employed an epithelial abrasion model of FK developed and previously reported by our group [26,34]. Briefly, C57BL/6J mice were immunosuppressed with a single treatment of methylprednisolone on the day preceding inoculation. Although immunosuppression is not a prerequisite for the establishment of FK in our model, or indeed in patients, we have found that a single dose of steroids facilitates more uniform disease progression across animals. On the day of inoculation, the epithelium on the cornea was ulcerated and overlayed with A. fumigatus (Af293) conidia that were pre-germinated (swollen, but not polarized) in rich media. In contrast to the sham-inoculated controls, A. fumigatus corneas showed obvious signs of infection by 48 h post-inoculation (p.i.), including diffuse corneal opacification and surface irregularity (Fig 1A). Total RNA was isolated from infected corneas at this time point as well as from A. fumigatus cultured in glucose minimal medium (GMM), containing a preferred source of carbon (glucose) and nitrogen (NH4), for 48 h as the baseline condition. Consistent with our first hypothesis, the cornea-derived samples displayed higher levels (50-1000-fold) of steady-state mRNA for each of A. fumigatus collagenase genes tested, including the metalloprotease (mep1—AFUA_1G07730), a serine alkaline protease (alp1—AFUA_4G11800), and two dipeptidyl-peptidases (dppIV—AFUA_4G09320 and dppV—AFUA_2G09030) (Fig 1B). These results support the interpretation that A. fumigatus upregulates its secreted hydrolytic activity to support invasive growth in the corneal environment.

Fig 1. The A. fumigatus hacA mRNA is not spliced beyond basal levels on proteinaceous substrates or in the infected cornea.

Fig 1

(A) Representative slit-lamp images revealing dense opacification in A. fumigatus (Af293)-infected corneas 48 h post-inoculation (p.i.). (B) qRT-PCR analysis A. fumigatus infected corneas (48 h p.i.) reveals an up-regulation of several fungal collagenase genes relative to GMM control cultures. β-tubulin was used as a reference gene and data represent the mean of three corneas. (C) Schematic diagram of A. fumigatus UPR, where the uninduced hacA splice form (hacAu) is spliced by the IreA ribonuclease domain to form the induced (hacAi) splice form which then encodes the HacA transcription factor. (D) The hacA mRNA was amplified by RT-PCR and the PCR products were separated on a 3% agarose gel to detect both the hacAu (upper band) and hacAi (lower band) forms in the in vivo (24 and 48 h p.i.) and the in vitro (GMM, gelatin MM, and DTT-treated) samples at 48 h. (E) The ΔCts of hacAu to hacAi mRNA normalized to actin. Data represent the mean of corneal samples isolated across two independent experiments where the cornea samples were taken at 48 h p.i., and (F) qRT-PCR of known UPR target genes–bipA and pdiA in the A. fumigatus-infected cornea at 24 h & 48 h p.i., gelatin MM and GMM treated with DTT, relative to the control (GMM).

Treatment of the A. fumigatus AfS28 background with dithiothreitol (DTT) leads to a rapid accumulation of misfolded proteins in the ER and the IreA-mediated splicing of the hacA transcript from the uninduced (hacAu) to the induced/active (hacAi) form [15] (Fig 1C). We predicted that the increased expression of secreted proteases that occurs in the corneal environment, along with other stresses that are encountered during infection (e.g. oxidative stress from inflammatory cells), would similarly promote ER stress and a detectable accumulation of hacAi beyond the baseline condition, which, as in the above experiment, is in vitro cultivation on media (GMM) that does not require the breakdown by secreted hydrolases. To test this, we analyzed the relative abundance of hacA splice forms in A. fumigatus Af293 grown in the following conditions: 1) GMM, as the baseline (non-inducing) control; 2) GMM with 2 h DTT treatment as a positive control; 3) gelatin minimal medium (Gel MM), which contains gelatin (collagen hydrolysate) as the sole carbon and nitrogen source, and on which protease gene expression is induced similar to the cornea and; 4) 48 h murine corneas as described above. We performed RT-PCR using hacA primers that span the previously defined 20 bp non-conventional splice region, thus allowing for the detection of both the hacAu and hacAi forms following the resolution of the amplicons by gel electrophoresis. The samples were also analyzed by qRT-PCR using two primer sets that distinctly amplify the hacAu and hacAi cDNAs. Both forms of the hacA band were detected in the baseline sample, although the un-induced (higher molecular weight) band was more abundant. We interpret this steady state hacA splicing to correspond with the ‘basal UPR’ (bUPR) as previously defined by Feng and colleagues using A. fumigatus strain AfS28 [15,35]. The 2 h DTT treatment effectively reversed the relative intensity of the two bands, which is again consistent with previous reports and corresponds to the ‘induced UPR’ (iUPR). In contrast to our prediction, however, neither growth in gelatin nor the cornea shifted the splice form ratio beyond what was observed in GMM (Fig 1D and 1E). The hacA splicing data corresponded with the expression analysis of two known genes under the control of the HacA transcription factor, the protein chaperones bipA and pdiA, which were both induced in DTT but not in gelatin or the corneal samples (Fig 1F). In summary, these results suggest that only the bUPR of strain Af293 is active in the infected cornea as well as on culture media that reflects the proteinaceous composition of the cornea.

Af293 HacA is required for the growth under conditions of acute ER stress and on protein-rich substrates

Given our above results, we reasoned that either 1) A. fumigatus bUPR activity is sufficient to support growth and virulence in the cornea, or 2) the UPR components are dispensable in this context. To explore these possibilities, we first sought to generate deletion mutants of the core UPR genes in Af293. To begin, the Af293 hacA coding sequence was replaced with the hygromycin resistance cassette (hph) using Cas9-mediated homologous recombination [36]. Subsequent generation of the complemented strain (ΔhacA C’) was achieved through the ectopic integration of the WT hacA allele (fused with the bleR cassette) into the ΔhacA mutant (S1A Fig). Consistent with the AfS28 ΔhacA, and orthologous mutants in other fungi, the Af293 ΔhacA was hypersensitive to stressors that acutely misfold proteins (high temperature), inhibit the normal folding of nascent polypeptides in the ER (tunicamycin), or block the egress of proteins from the ER (brefeldin A) (Figs 2A, 2B, and S1C). Taken together, these results demonstrate a conserved essentiality of the UPR under conditions of acute ER stress in which the iUPR is functional. Also consistent with the AfS28 mutant, the Af293 ΔhacA displayed minor but obvious growth and conidiation defects under control/baseline conditions (YPD or GMM at 35°C), which were fully restored to WT levels in the complemented strain (Figs 2A, 2E, and S1B). This supports the interpretation that bUPR buffers the endogenous ER stress associated with growth and developmental processes, even in otherwise favorable conditions.

Fig 2. Af293 HacA is required for the growth under conditions of acute ER stress and on protein-rich substrates.

Fig 2

(A) Representative images of the indicated strains grown on YPD plates for 72 h at 35°C and 48°C. (B) The strains were growth in static liquid GMM culture in the presence or absence of 6.25 μg/mL tunicamycin, an inhibitor of protein glycosylation; data represent the mean of triplicate samples analyzed by Brown-Forsythe and Welch’s ANOVA **** <0.0001, ** 0.0022. (C) Culture supernatants were analyzed for azocollagen degradation [absorbance at 520nm normalized to dry weight (g)] after growth in GMM containing fetal bovine serum (GMM-FBS) for 72 h; data represent the mean of four replicate samples analyzed by Brown-Forsythe and Welch’s ANOVA **** <0.0001, ** 0.0022. (D) Representative images of WT, ΔhacA and ΔhacA C’ grown on 1% skim milk agar with growth depicted as colony diameter; data represented as a mean of triplicate samples analyzed by One-way Ordinary ANOVA **** <0.0001. (E) Representative images of the strains grown on media with containing ammonium tartrate (GMM-AT) or bovine serum albumin (GMM-BSA) as the sole nitrogen, gelatin as the sole carbon and nitrogen source (Gelatin MM), or murine lung and brain tissue, for 72 h at 35°C.

To determine if the Af293 UPR has an enhanced role in supporting growth in proteinaceous environments, which is what we predict is encountered in the collagen-rich cornea, we began by collecting fungal supernatants following growth in minimal media containing fetal bovine serum as the sole nitrogen source (GMM-FBS). In contrast to the WT and complement-derived samples, ΔhacA supernatants displayed undetectable azocollagen degradation, suggesting that the secretion and/or expression of collagenases was impaired in the mutant (Fig 2C). Consistent with this, the ΔhacA mutant displayed a partial but significant growth defect on various protein-rich substrates (including GMM-BSA, gelatin minimal medium, and skim milk agar) relative to the WT and ΔhacA C’ strains (Fig 2D and 2E). The zone of clearance around the ΔhacA colony on the skim milk plates indicated, however, residual protease activity that could at least partially account for the growth on these media. More strikingly, ΔhacA demonstrated almost unperceivable growth on mouse lung and brain tissues, suggesting an increased need for UPR activity on biological substrates (Fig 2E). In summary, these data demonstrate that although the UPR pathway is not demonstrably induced under conditions we suppose are nutrient limiting, (i.e. based on hacA splicing), it nevertheless plays a role in regulating the secretion of proteases and growth in such environments.

Interestingly, we were unable to isolate an ireA deletant across numerous transformation attempts utilizing the same CRISPR/Cas9 approach, as well as with standard homologous recombination techniques. As discussed, such a mutant was generated by Feng and colleagues in the AfS28 background and its growth and lung virulence phenotypes were overall more severe than the isogenic ΔhacA [15]. This suggests IreA retains functions beyond its role in splicing hacA, and we reasoned this functional importance may be enhanced, and consequently essential, in Af293. To evaluate this further, we next generated Af293 mutants in which the ireA or hacA native promoters were disrupted with the doxycycline/tetracycline-repressible promoter (tTA) using a Cas9-mediated recombination approach (S2A and S2B Fig) [37,38]. As expected, the WT Af293, Ptetoff-hacA, and Ptetoff-ireA strains were phenotypically indistinguishable in the absence of doxycycline. Supplementation with doxycycline had no impact on the WT and mildly suppressed the growth and development of Ptetoff-hacA to levels that resembled the baseline phenotype of ΔhacA (S2C Fig). Strikingly, and by contrast, the Ptetoff-ireA mutant was severely growth ablated in the presence of doxycycline, irrespective of the nutrient content of the medium (S2 Fig). Taken together, these results support a model in which additional (hacA-independent) functions of IreA render it essential for the vegetative growth of Af293, even in low ER stress environments.

The A. fumigatus UPR is essential for the establishment of corneal infection

We next wanted to determine if a basal level of hacA splicing supports A. fumigatus virulence in the cornea. Towards this end, the Af293 WT, ΔhacA, and ΔhacA C’ strains were analyzed in the murine model described above. Remarkably, and in contrast to the progressive disease development that occurred with the WT and complement infected corneas, animals inoculated with ΔhacA failed to demonstrate any signs of disease on external evaluation and disease scoring criteria (Fig 3A and 3B). Alterations in the corneal structure were evaluated more thoroughly with optical coherence tomography (OCT), which provides a cross-sectional image of the anterior segment in live animals for downstream and morphometric analysis. OCT revealed thickened corneal tissue and alterations in refraction for WT and complement-infected animals, indicating the presence of edema and inflammation that are characteristic of FK (Fig 3C). By contrast, and consistent with the external images, corneas inoculated with the ΔhacA mutant were indistinguishable from the sham-inoculated controls (Fig 3D). Tissue sections taken 72 h p.i. were consistent with the OCT findings, demonstrating that WT and complement infected corneas were marked by ulcerated and structurally abnormal corneas, with massive immune cell infiltration in both the stroma and anterior chamber. Fungal hyphae were also observed through the depth of the cornea in these two groups on histology, and homogenized and plated corneas from the same time point indicated similar fungal loads (Fig 3E and 3F). Histology of the ΔhacA corneas, by contrast, displayed normal epithelial and stromal architecture, minimal cellular infiltration, and no visible fungal growth which was confirmed in the CFU analysis (Fig 3E). These results, which suggest a critical role for the UPR in the establishment of corneal infection, were replicated with the full isogenic set of strains in an independent experiment using both male and female animals (S3 Fig).

Fig 3. The A. fumigatus UPR is essential for the establishment of corneal infection.

Fig 3

(A) Representative slit-lamp images of infected murine corneas at 24, 48, and 72 h p.i., and (B) average clinical scores (n = 10/group) over the course of the infection; data analyzed by Ordinary two-way ANOVA, p-value **** <0.0001 (C) Representative cross-sectional images of the cornea from OCT 72 h p.i.. (D) Corneal thickness measured across the group (n = 10/group) over the course of the infection averaging 13 points across the cornea; data analyzed by Ordinary two-way ANOVA p-value **** <0.0001. (E) Sections of cornea 72 h p.i. were stained with Periodic Acid Schiff and hematoxylin (PASH) to observe hyphal growth (magenta) and inflammatory immune cells (purple). (F) Fungal burden at 72 h p.i. as determined by colony forming unit (CFU) analysis from corneal homogenates; data analyzed by Ordinary one-way ANOVA p-value *** 0.0006.

A loss in A. fumigatus secreted protease activity does not result in reduced virulence in the cornea

We next hypothesized that the avirulent phenotype of ΔhacA in the cornea was largely attributable to its loss in extracellular collagenase activity, which we predicted would be required for growth through the stromal ECM. If true, we reasoned that an A. fumigatus strain that is deficient in protease activity, but otherwise retains a functional UPR, would similarly be attenuated for virulence in the cornea. We therefore generated deletion mutants of prtT and xprG, which encode distinct transcription factors that control a large and partially overlapping subset of protease-encoding genes in A. fumigatus [39,40]. The Af293 genome harbors a single prtT ortholog (AFUA_4G10120), which we replaced with a bleR cassette by split marker transformation (S4A Fig). Consistent with what was reported previously, our ΔprtT mutant was indistinguishable from WT on rich media, but markedly growth and developmentally impaired on media containing gelatin or BSA as the sole carbon or nitrogen source (Fig 4A). Interestingly, the Af293 genome harbors two putative xprG orthologs with almost near sequence identity (96.2%) across the protein-coding and flanking regions, which we predict is due to a recent gene duplication event in this background. While the first locus (AFUA_8G04050) is predicted to encode a fully functioning transcription factor, the second (AFUA_1G00580) contains two frame shifts within the coding region that result in a partial loss of the putative DNA binding domain (S4D Fig); we refer to these genes as xprG1 and xprG2, respectively. Due to the high sequence similarity across these loci, it was not feasible to design guide RNAs that were specific to either gene. So, while the transformation of cross-reactive Cas9 ribonucleoproteins (RNPs) into the Af293 WT background resulted in the isolation of xprG2 single and xprG1/xprG2 double deletants, we did not isolate a single xprG1 mutant. Consistent with the prediction that xprG2 encodes a non-functional protein, the ΔxprG2 strain displayed indistinguishable growth and developmental phenotypes from WT on both rich and proteinaceous media (Fig 4A). The ΔxprG1ΔxprG2, on the other hand, was phenotypically similar to the ΔprtT mutant, suggesting that XprG1 is a functional regulator of protease activity. Transformation of the ΔprtT mutant with the xprG1/2 cross-reactive RNPs resulted in the isolation of triple mutants (ΔprtTΔxprG1ΔxprG2), which did not display an obvious enhanced growth defect on proteinaceous media beyond that of ΔprtT or ΔxprG1ΔxprG2 (Fig 4A). The azocoll degradation assay revealed equivalent levels of extracellular collagenolytic activity between WT and ΔxprG2 strains, as expected, but undetectable levels of activity in the ΔprtT, ΔxprG1ΔxprG2, and ΔprtTΔxprG1ΔxprG2 mutants (Figs 4B and S4C). Notably, there was no difference in the level of detectable azocoll degradation between these protease-deficient mutants and ΔhacA.

Fig 4. A loss in A. fumigatus secreted protease activity does not result in reduced virulence in the cornea.

Fig 4

(A) Conidia from WT, ΔprtT, ΔxprG2, ΔprtTΔxprG1ΔxprG2 (ΔΔΔ) were inoculated onto YPD, gelatin MM, GMM BSA and GMM BSA+peptone and incubated at 35°C for 72 h. (B) Culture supernatants were analyzed for azocollagen degradation [absorbance at 520 nm normalized to dry weight (g)] after growth in GMM-FBS for 72 h at 35°C at 200 rpm; data represent the mean of three replicate samples analyzed by Ordinary one-way ANOVA **** <0.0001. (C) Representative slit-lamp images of infected murine corneas at 24 h and 48 h p.i. (D) Corneal thickness measured across the group (n = 8/group) 48 h p.i. averaging 13 points across the cornea; data analyzed by Ordinary one-way ANOVA. (E) Average clinical scores (n = 8/group) 48 h p.i.; Data analyzed by Ordinary one-way ANOVA. (F) Sections of cornea 48 h p.i. were stained with Periodic Acid Schiff and hematoxylin (PASH) and reveal fungal growth and inflammation in all samples. (G) Tissue fungal burden as assessed by CFU analysis 48 h p.i.; data analyzed by Ordinary one-way ANOVA.

We next tested the virulence of the Af293 WT, ΔprtT, and ΔprtTΔxprG1ΔxprG2 strains in our model of FK. Interestingly, and contrary to our hypothesis, both of the protease mutants displayed comparable virulence to the WT with respect to clinical appearance, corneal tissue thickness, pathology, and fungal burden (Fig 4C–4G). Thus, it appears that proteases under the control of PrtT and/or XprG1 are not required for the growth of A. fumigatus in the cornea, and we cannot conclude that the avirulence phenotype of ΔhacA is attributable to a loss in proteolytic activity.

A. fumigatus hacA is spliced and essential for virulence in a murine model of invasive pulmonary aspergillosis

As mentioned, previous studies have shown the AfS28 ΔhacA mutant is attenuated for virulence in various murine models of IPA. Notably, however, ΔhacA-infected lungs still display moderate fungal growth and inflammation and ~50% of the animals succumb to infection [14,15]. This contrasts our current FK results, in which none of the corneas inoculated which Af293 ΔhacA develop outward signs of disease or retain viable fungus. Thus, we wanted to determine if our mutant is similarly avirulent in an IPA model (which would indicate differences between the AfS28 and Af293 backgrounds), or if the pathogenic potential of ΔhacA does indeed differ between the lung and corneal environments. Towards this end, and in an attempt to keep our lung and corneal models as similar as possible, we began by inoculating C57BL/6J male mice with WT Af293, via intranasal instillation, following immunosuppression with methylprednisolone. None of the inoculated animals developed signs of infection, so we turned to a well-established IPA model in which male outbred (CD-1) mice were immunosuppressed with multiple doses of triamcinolone acetonide [4143]. In this setting, we observed high cumulative mortality for the WT and ΔhacA C’ infected groups, where histological examination revealed the presence of progressively larger fungal/inflammatory lesions over time (Fig 5A and 5B). By contrast, the cumulative mortality of the ΔhacA-infected animals was statistically indistinguishable from the uninfected controls. Interestingly, sporadic and small areas of fungal growth were observed ΔhacA lungs up to 14 days p.i., suggesting the mutant retains the capacity to germinate and persist in the pulmonary environment, albeit to levels insufficient to drive disease development. We then ran our FK infection experiment in this model (CD-1 male mice immunosuppressed with triamcinolone) and, consistent with the previous experiments, found no signs of disease or fungal persistence in ΔhacA-inoculated corneas. A large proportion of WT-infected animals also failed to develop infection in this model, however, suggesting outbred mice are inherently resistant to Af293 infection in the cornea, despite being susceptible in IPA. Nevertheless, these data cumulatively suggest that Af293 ΔhacA is avirulent in both the lung and corneal environments, although the capacity of the mutant to persist, or the kinetics through which it is cleared, may differ between the two.

Fig 5. A. fumigatus hacA is spliced and essential for virulence in a model of invasive pulmonary aspergillosis.

Fig 5

(A) Cumulative mortality of triamcinolone immunosuppressed CD-1 mice inoculated with 2 x 106 conidia via intranasal instillation (n = 8/group, n = 5 for PBS group); survival curves were compared using the logrank Mantel–Cox test where ΔhacA vs WT p-value = 0.0067, ΔhacA vs ΔhacA C’ p-value = 0.0015. (B) Histological staining showing fungal growth, stained black by GMS, and inflammatory cells, stained purple by H&E. Lungs inoculated with ΔhacA demonstrate limited germination starting on D+1 up to D+14 (highlighted with red arrows). (C) Top panel: RT-PCR hacA amplicons separated on a 3% agarose gel to detect both the hacAu and hacAi forms in the WT-infected lungs along with the DTT-treated cultures (positive splicing control) and sham-inoculated lungs (negative control) from 48 h. Bottom panel: ΔCts of hacAi and hacAu products as determined by qRT-PCR using splice form specific primers sets; data represented as mean of triplicate samples analyzed by two-way ANOVA **** <0.0001 *** 0.0005.

We next wanted to determine if the basal level of hacA splicing observed in the cornea was also supporting A. fumigatus virulence in the lung. Accordingly, total RNA was extracted from CD-1 mouse lungs at various days post-inoculation with WT Af293. The resulting cDNA was then analyzed by endpoint and qPCR to assess the ratio of hacAu and hacAi splice forms as described above. RNA was isolated in parallel from DTT-treated and untreated GMM cultures to serve as positive and negative control references, respectively. Interestingly, all of the lung-derived samples displayed hacAi/hacAu ratios that were comparable to the DTT-treated samples, indicating that the A. fumigatus iUPR is operative in this tissue (Fig 5C). Thus, although HacA is required for virulence in both the cornea and lung, the amount of ER stress experienced during infection, and hence the degree of UPR activation, appears to vary across these host tissues.

Transcriptomics supports a distinct role for the UPR across environments of variable ER or nutritional stress

The above data cumulatively suggest that the A. fumigatus UPR promotes adaptation to a variety of environments that vary in the amount of ER stress they impart to the fungus. What remained unclear, however, was whether the UPR exists is a simple binary switch (i.e. bUPR vs. iUPR), or if the HacA readout was more finely tuned to the environment. Accordingly, we sought to characterize the HacA-dependent transcriptome under three conditions that represent various levels of ER stress: 1) GMM, as a “low” ER stress condition with basal levels of hacA splicing (bUPR); 2) GMM + DTT, as a “high” ER stress condition that more closely mirrors the lung in regard to hacAi/hacAu ratios (iUPR), and 3) Gelatin MM, as a putatively “intermediate” ER stress condition that represents the cornea in terms of its proteinaceous nutrient content and in terms of the level hacA splicing observed. Differentially expressed genes (DEGs) for WT were defined as those with a 4-fold change relative to the GMM condition; DEGs for ΔhacA were those with a 4-fold change relative to the WT in that particular condition. A full list of the DEGs across all treatments, as well as a complete list of enriched FunCat and GOterms can be found in the S1S5 Data files.

GMM

Despite serving as a nominally homeostatic condition, 514 genes were downregulated in ΔhacA (relative to WT) in GMM, including numerous chaperones that fit with the known function of the UPR (e.g. bipA, hsp78, hsp98, hsp30) (Fig 6). Also downregulated in ΔhacA were numerous genes encoding proteins destined for the plasma membrane or secretion, including nutrient and drug transporters, proteases, and polysaccharide binding and degrading enzymes. Beyond the breakdown of polysaccharides as a nutrient source, it is likely many of such genes are involved in the routine maintenance of cell wall (e.g. glucanases, chitinases), and this corresponded to hypersensitivity of ΔhacA to cell wall stressors such as Congo red (S5G Fig). Thus, during growth in GMM, basal HacA function appears to not only support the expression of genes that regulate ER homeostasis and secretory function, but also broadly regulates the expression of genes that traffic through the secretory pathway. The dysregulation of these genes in ΔhacA likely accounts for the growth and developmental defects observed on GMM or rich media (Fig 2). Interestingly, 328 genes were upregulated in ΔhacA relative to the WT, and these were enriched in various secondary metabolic pathways (fumagillin, fumigaclavine C, fumiquinazoline), iron and heme binding, and oxidoreductase activity (Fig 4B). Although we predict that the expression of these pathways would not impact growth on GMM per se, their de-repression may be energetically unfavorable and further contribute to the growth defects of ΔhacA as well as altered sensitivities to the iron chelator BPS (S5F Fig).

Fig 6. Term-enrichment analysis of differently expressed genes in ΔhacA versus WT in glucose minimal medium.

Fig 6

Significantly enriched Gene Ontology (GO) terms among the ΔhacA DEGs in GMM, based on a 4-fold difference in abundance relative to WT. The numbers next to the bars reflect the total number of genes in the respective category.

DTT

DTT treatment of the WT led to the induction of 345 genes (relative to untreated GMM), and included an enrichment of those within the ‘protein folding and stabilization’ Functional Category (FunCat). Such genes – including protein chaperones (bipA, hsp70), calnexin, protein isomerases, and ER resident oxidoreductases and ATPases – were similarly found to be induced in the A. fumigatus AfS28 background by microarray, and therefore appear to constitute a conserved iUPR [14]. Other enriched FunCat terms in our DTT-induced gene set included ‘detoxification by modification’, ‘secondary metabolism’, ‘oxidative stress’, and ‘extracellular polysaccharide degradation’ (Table 1). 141 genes were down-regulated in DTT, many of which had overlapping enrichment in iron and oxido-reduction GO terms, or in secondary metabolism categories, including fumagillin biosynthesis. In summary, DTT treatment resulted in the expected induction of canonical ER stress-related genes; however, it is currently unclear if the altered expression of genes in a myriad of primary or secondary metabolic processes is directly tied to ER stress and UPR signaling.

Table 1. Statistically altered gene categories (FunCat terms) for the WT Af293 following growth in gelatin or upon treatment with DTT; both relative to the GMM reference condition.
FunCat ID FunCat description Adjusted p-value # genes / input
Gelatin MM 1.2 Secondary metabolism 2.877882e-17 122 / 672
20.09.18.07 Non-vesicular cellular import 1.14E-05 33 / 672
1.05 C-compound and carbohydrate metabolism 2.75E-05 90 / 672
2.25 Oxidation of fatty acids 2.75E-05 16 / 672
16.21.01 Heme binding 9.47E-05 16 / 672
01.06.05 Fatty acid metabolism 0.000106 25 / 672
01.01.11.04.02 Degradation of leucine 0.000106 9 / 672
20.01.03 C-compound and carbohydrate transport 0.000124 34 / 672
01.01.09.04.02 Degradation of phenylalanine 0.00022 11 / 672
20.03 Transport facilities 0.000244 52 / 672
20.09.18 Cellular import 0.000247 36 / 672
16.21.15 Biotin binding 0.000293 6 / 672
1.06 Lipid, fatty acid and isoprenoid metabolism 0.000701 61 / 672
20.01.23 Allantoin and allantoate transport 0.00138 12 / 672
01.01.09.05.02 Degradation of tyrosine 0.001494 7 / 672
01.05.03 Polysaccharide metabolism 0.003192 30 / 672
2.09 Anaplerotic reactions 0.005012 3 / 672
20.01.15 Electron transport 0.01037 34 / 672
32.07.01 Detoxification involving cytochrome P450 0.023295 10 / 672
16.21.05 FAD/FMN binding 0.028143 16 / 672
32.07.07.01 Catalase reaction 0.036851 3 / 672
01.20.33 Metabolism of secondary products derived from L-tryptophan 0.037059 5 / 672
DTT 1.2 Secondary metabolism 6.331832e-8 50 / 345
32.07.03 Detoxification by modification 0.005024332 7 / 345
32.05.01 Resistance proteins 0.01219727 9 / 345
32.01.01 Oxidative stress response 0.02112102 9 / 345
14.01 Protein folding and stabilization 0.04406497 10 / 345
01.25.01 Extracellular polysaccharide degradation 0.04406497 5 / 345

Relative to the WT in DTT, 314 genes were downregulated in ΔhacA. Not surprisingly, enriched among these DEGs included those in the ‘response to unfolded protein’, ‘endoplasmic reticulum’, and ‘protein glycosylation’ GO terms, which altogether confirm the role of HacA in the primary transcriptional response that restores protein folding homeostasis to the ER (Fig 7). Interestingly, nearly as many genes (273) were upregulated in ΔhacA relative to WT, and these DEGs were enriched among secondary metabolic processes, including the ‘fumagillin’ biosynthesis’ category that was down-regulated in WT upon DTT treatment. This suggests that HacA plays a role in the repression of several genes, either directly or by positively regulating a downstream repressor.

Fig 7. Term-enrichment analysis of differently expressed genes in ΔhacA versus WT following DTT treatment.

Fig 7

Significantly enriched Gene Ontology (GO) terms among the ΔhacA DEGs in GMM + 2h DTT, based on a 4-fold difference in abundance relative to WT. The numbers next to the bars reflect the total number of genes in the respective category.

Gel MM

Growth of the WT in gelatin medium led to the upregulation of 672 genes (relative to GMM) with term enrichments that indicated a broad shift towards the metabolism of protein and other polymeric substrates, such as fatty acids and polysaccharides (Table 1). Despite this inferred dependency on increased secretory activity, we did not observe a corresponding increase in genes involved in protein folding or ER homeostasis like there was in DTT. Indeed, only 110 genes overlapped between the DTT and Gel MM induced gene sets in WT, and these overlapping genes were enriched in two categories: ‘secondary metabolism’ and polysaccharide binding’. Interestingly, the sensitivity of Af293 to brefeldin A, which induces ER stress by blocking vesicular transport through the Golgi, was increased on gelatin compared to GMM (S1C Fig). Taken together with the hacA splicing results, it appears that the fungus is under some degree of ER stress in protein-rich environments, just not to the threshold required for iUPR activation. In addition to the upregulation of secreted hydrolase genes, we further observed an upregulation of genes enriched for amino acid transport, gluconeogenesis, oxidative metabolism (electron transport), and oxidation-reduction, all of which seemingly corresponded to a broader metabolic shift to alternative carbon (non-glucose) utilization (Table 1). Surprisingly, however, we also observed an upregulation of genes involved in iron/heme binding as well as several secondary metabolic clusters, including gliotoxin. While these genes likely do not promote growth in gelatin MM directly, they may be broadly de-repressed as a part of the adaptive response within nutrient-limiting environments, e.g. through carbon catabolite de-repression, that may be concomitantly stressful in other ways. However, there were 493 down-regulated genes in Gel MM (relative to GMM), and these were similarly enriched in a variety of oxidoreductive and secondary metabolic processes. Therefore, while we can conclude there are broad transcriptional differences in A. fumigatus in glucose- versus proteinaceous media, it is difficult to reconcile why many of the specific pathways differ between the two.

311 genes were downregulated in ΔhacA (relative to WT) in the gelatin media. Whereas several of the enriched Gene Ontology (GO) terms for these DEGs were similarly observed among the GMM (e.g., hydrolases, polysaccharide binding/cell wall, hsp/chaperones) DEG list, the majority were unique to gelatin MM, including oxidation-reduction, iron binding, secondary metabolism, and pigment/melanin biosynthesis categories (Fig 8). Many of these gene categories were upregulated in the WT Af293 in gelatin (relative to WT in GMM), suggesting that HacA plays an important role in regulating the transcriptional adaptation of A. fumigatus to the nutrient environment. The dysregulation of several genes from the RNA-seq dataset was validated in a replicated experiment using qRT-PCR (Fig 8B). 89 genes were upregulated in ΔhacA relative to WT, and these were enriched in just a few FunCat terms, including peptide transport and extracellular polysaccharide degradation.

Fig 8. Term-enrichment analysis of differently expressed genes in ΔhacA versus WT in gelatin minimal medium.

Fig 8

Significantly enriched Gene Ontology (GO) and FunCat terms among the ΔhacA DEGs in Gel MM, based on a 4-fold difference in abundance relative to WT. The numbers next to the bars reflect the total number of genes in the respective category. (B) qRT-PCR validation of selected ΔhacA DEGs from an independent experiment. Actin was used as the reference gene and data represent a mean of triplicate samples analyzed using the unpaired T-test ** 0.0076, *** 0.0001, **** 771 <0.0001.

Taken together, our transcriptomics analysis revealed a unique HacA-dependent transcriptome across three distinct conditions. Indeed, only 16 genes were common down-regulated ΔhacA DEGs across the three conditions, and only 7 were common up-regulated DEGs (Fig 9 and S6 and S7 Data files). In all cases, however, HacA appears to regulate not only genes involved in ER and secretory homeostasis, but also those involved in broader cellular shifts in primary and secondary metabolism, mitochondrial function and redox balance, and cell wall homeostasis.

Fig 9. Unique HacA-dependent transcriptomes across three environments.

Fig 9

Venn diagrams summarizing the number of unique and overlapping ΔhacA DEGs under the three tested conditions (A) down-regulated in ΔhacA relative to WT, (B) up-regulated in ΔhacA relative to WT.

Discussion

Our current understanding of fungal UPR regulation and downstream signaling is largely based on studies that employ chemical stressors that are acutely toxic to the ER, induce detectable levels of hacA/hac1 mRNA splicing, and markedly upregulate a conserved suite of genes (e.g. chaperones) that address an otherwise lethal level of stress. While these experimental parameters do indeed highlight the remarkable homeostatic capacity of the UPR, it remains unclear if these laboratory conditions reflect the true state of the pathway during saprophytic and pathogenic growth. In this regard, a key finding of our study is that the UPR-dependent transcriptome of A. fumigatus is distinct on glucose versus protein-rich media, with only ~10% of all ΔhacA DEGs being shared, despite the hacAu/hacAi ratios being indistinguishable between the two environments. We, therefore, postulate that HacA output in this organism is non-binary (e.g. bUPR vs iUPR), but is rather tunable based on integrated pathway inputs, including from nutrient signaling pathways, that modulate HacA stability or target binding post-translationally. Such regulation has been observed in the mammalian system, where acetylation/de-acetylation influences the protein stability and transcriptional activity of the HacA ortholog, Xbp1 [44]. Regarding A. fumigatus, Krishnan and colleagues revealed a form of post-transcriptional regulation whereby ER stress leads to transcript-specific translational induction via polysome docking [19]. Interestingly, the hacA transcript itself is not apparently regulated through this mechanism, and thus it remains unclear how hacA/HacA activity levels might be regulated beyond the level of mRNA splicing. It is possible, on the other hand, that many of the DEGs observed in ΔhacA, relative to WT, are not directly regulated by the HacA transcription factor itself or one of its transcription factor targets. For example, Weichert et al. demonstrated that 1) HacA regulates calcium ion homeostasis in the ER through the regulation of the Ca2+ ATPAses—srcA and pmrA, 2) the loss of such regulation results in Ca2+ dyshomeostasis and a hypersensitivity to calcineurin inhibitors [16]. These data suggest that calcineurin signaling may be indirectly dependent upon UPR disruption, and its influence on its own downstream transcription factors (e.g. CrzA), could be influencing the transcriptome in the ΔhacA background. Ongoing studies in our group seek to understand if nutritional changes in the media quantitatively or qualitatively influence HacA binding targets and, if so, what sort of post-translational modifications or target-gene epigenetics are at play.

It is important to note that while our experiments seek to expand upon the microarray study of Feng et al. [15], in which the basal and induced UPR of A. fumigatus was originally described, there are key differences in the study design that may complicate a direct comparison. For example, Feng et al. defined ER-stress responsive genes as those that were shared among DTT and tunicamycin treatment groups (n = 57); bUPR and iUPR genes were furthermore defined as those altered in both the ΔhacA and ΔireA mutants [15]. Our study, by comparison, is less stringent in that it employs only a single canonical ER stressor (DTT) and one UPR mutant (ΔhacA). Coupled with our use of a more sensitive mRNA detection technique (RNA-seq), we recognize that our view A. fumigatus UPR is markedly expanded. Another important consideration is the culturing conditions utilized in the experiments. Feng et al. used a rich medium (containing yeast extract and glucose) as the reference condition in which the bUPR was defined [15]. By contrast, and because our study included nutrition as a key variable, we employed a minimal medium where the carbon and nitrogen source varied between GMM (glucose/nitrogen) and Gel-MM (gelatin) while the micronutrient composition and pH remained constant between conditions. Based on the reduced mycelial outgrowth and enhanced conidiation of the WT on GMM relative to rich media (observable in Fig 1), we predict the former is inherently more stressful and may impart higher levels of baseline UPR activity. This may account for why bipA and other chaperones emerged as part of the bUPR in our study, but not in the Feng et al. report [15]. Along the same lines, the difference in media may influence the magnitude or even quality of the response to DTT. Finally, and perhaps most importantly, is the issue of intraspecies strain heterogeneity. The observations that 1) ireA is essential in Af293 (this study) but not in AfS28 (Feng et al.), and 2) the virulence defect of Af293 ΔhacA is more severe in a comparable model of IPA, suggest an expanded role of the UPR in the Af293 background [15]. Similar observations concerning orthologous gene function have been described previously. For example, loss of the calcineurin-regulated transcription factor, CrzA, similarly results in markedly stronger baseline growth defects in the Af293 compared to CEA10 [45,46] and, more strikingly, the VeA transcription factor plays opposing roles as a negative and positive regulator or condition in Af293 and CEA10, respectively [47,48]. Along those lines, Colabardini et al recently demonstrated a qualitatively distinct transcriptional signature between Af293 and the CEA10 derivative (CEA17) to caspofungin, which suggests the response to the conditions we have tested may also be variable across isolates [35,49]. Despite the myriad of technical and biological variables that distinguish the A. fumigatus UPR transcriptome studies, they both nevertheless support a conserved role for the pathway in regulating A. fumigatus oxidoreductive metabolism, mitochondrial function, hydrolase activity, and cell wall homeostasis beyond canonical protein folding and secretory genes.

Our observation that ΔhacA-infected corneas are sterile at 72 h p.i. and do not otherwise show signs of disease development, such as corneal opacification caused by infiltrating immune cells, suggests that the UPR is essential for the initiation of invasive growth in the corneal stroma. We reasoned that this is attributable, in part, to a critical loss of extracellular protease activity needed to obtain macronutrients from or penetrate through the collagen-rich stromal ECM. Our finding that the ΔprtTΔxprG1ΔxprG2 mutant is fully virulent in the cornea, however, does not support this interpretation. It has been demonstrated that the ΔprtTΔxprG1 mutant is fully virulent in the lung as well, which puts into question the general importance of A. fumigatus proteases in promoting invasive growth, despite their demonstrable upregulation within infected tissue. Our analysis of the WT transcriptome reveals a broad upregulation of proteases in gelatin along with other hydrolytic enzymes (e.g. lipases), which likely reflects a broad de-repression of alternative carbon acquisition pathways. The ΔprtTΔxprG1 mutant, therefore, is likely capable of acquiring non-proteinaceous nutrients from the ocular surface (e.g. lipids or carbohydrates in the tear film), or in the lung, in order to initiate growth [5052]. Regarding the cornea, we predict that the release of matrix metalloproteases by fibroblasts and infiltrating neutrophils can both nutritionally supplement the fungus at later stages of disease and drive tissue damage [53,54]. It thus remains unclear if macronutrient starvation is principally involved in the avirulence of ΔhacA. We predict that it is, in some sense, in that the broad upregulation of secreted hydrolases in the tissue, whether they truly support growth or not, drives the development of unchecked ER stress in the mutant and stalls growth before it is cleared from the ocular surface.

In agreement with previous reports, we have shown ΔhacA is hypersensitive to cell wall perturbating agents (e.g. Congo red), which likely reflects alterations in overall cell wall composition, and/or architecture. Indeed, Richie et al. reported reduced glucose content in both the soluble and insoluble cell wall fractions of ΔhacA, suggesting a reduction in both alpha- and beta-glucan [14]. While the generalized secretion defect of ΔhacA is thought to impact the delivery of cell wall-modulating enzymes to the hyphal apex, our transcriptomic data further suggest a role for HacA in influencing, directly or indirectly, the expression of cell wall-related genes. Among the underrepresented genes in ΔhacA include a myriad of endo- and exo-glucanase genes that may influence proper cell wall turnover and modification [55,56]. Thus, the dysregulation of these genes may account for the generalized growth defect of the mutant in GMM, the enhanced growth defect on gelatin, and an even more marked penetration defect through the dense stromal matrix in vivo. Notably, one of the underrepresented genes in the mutant was ags3, which plays a critical role in synthesizing alpha-glucan and masking the underlying and immunogenic beta-1,3-glucan [57,58]. Although we did not appreciate any signs of inflammation or disease development in ΔhacA-infected corneas, it is possible that the mutant was more efficiently recognized and cleared from the cornea by resident immune cell populations or early-infiltrating neutrophils at very early time points post-inoculation [5961]. Alterations in the ΔhacA cell wall may furthermore impart a hypersensitivity to antimicrobial cell surface proteins that directly inhibit fungal growth (e.g. lysozyme, B-defensins) or influence the interaction of the fungus with host cells (e.g. complement) [6266]. An assessment of how fungal UPR disruption influences cell wall antigenicity, host cell activation, and phagocytic uptake is being actively investigated by our group.

The UPR may also promote fungal resistance to other stresses encountered at the corneal surface or upon interaction with infiltrating leukocytes. For example, proteins that are both present in the tear film and are secreted by neutrophils, including lactoferrin and lipocalin, sequester iron and other essential metals that are required for fungal growth [67]. Indeed, the topical instillation of purified lactoferrin can inhibit fungal growth in the cornea, and ablation of A. fumigatus siderophore synthesis renders the fungus avirulent [68]. Our data demonstrate a down-regulation of several iron homeostasis genes in ΔhacA on glucose and gelatin media, including a siderophore transporter (AFUA_3G13670) and a ferric chelate reductase (AFUA_8G01310), and these changes correspond to hypersensitivity of Af293 and AfS28 ΔhacA to the iron chelator BPS [15]. Moreover, the altered expression of metal homeostasis seems to correspond with a much larger shift in the oxidoreductase category, which supports a role for HacA in regulating mitochondrial function, redox homeostasis and, consequently, optimal growth.

An intriguing inference from our RNA-seq data is that UPR influences a variety of secondary metabolic pathways, namely the fumagillin gene cluster, which is statistically downregulated in ΔhacA in both glucose and gelatin media. This mycotoxin irreversibly inhibits the methionine aminopeptidase (MetAP) type 2 enzyme that hydrolyzes the initial methionine (iMet) of newly synthesized proteins and consequently influences a myriad of signaling pathways and cellular processes in both microbes and mammals. As such, the compound has been considered for clinical use as an inhibitor of angiogenesis and tumor growth, as an antiviral and antiparasitic. Regarding its potential influence on A. fumigatus virulence, the fumagillin cluster is upregulated in a murine model of IPA and, in vitro, the compound is toxic to pulmonary epithelial cells and inhibits a variety of important neutrophil functions, including ROS production and degranulation [6971]. While the role of fumagillin during FK remains unknown, we reason its downregulation in ΔhacA could influence rapid clearance from the corneal surface before invasive growth is initiated. Moreover, various genes in the gliotoxin gene cluster are variably altered in ΔhacA (although the cluster as a whole is only statistically significant in DTT), and this metabolite has a demonstrable impact on virulence in a corticosteroid model of IPA [7275]. Although Leal et al. demonstrated that gliotoxin-deficient mutants are not impaired for growth in an immunocompetent model of FK [76], we reason that mycotoxin production may have a more marked influence on virulence in our steroid model in which the functionality of infiltrating leukocytes is already partially impaired. Follow-up work from our lab will include the direct measurement of fumagillin and gliotoxin production in the ΔhacA mutant as well as the virulence of mycotoxin deficient strains in our model.

This study adds fungal keratitis to a long list of infectious contexts in which the UPR regulates fungal virulence [15,7779]. In the corn smut pathogen Ustilago maydis, for example, the hacA ortholog (cib1), is spliced upon the plant penetration and cib1 knockout is markedly attenuated for virulence on maize seedlings. Interestingly, the overexpression of the the cib1 spliced form also attenuated virulence, emphasizing the importance of timing in UPR activation for the pathogenesis of U. maydis [80,81]. To the best of our knowledge, however, there has been no direct assessment of the UPR activation state of A. fumigatus or any other human fungal pathogen in vivo. Interestingly, our results suggest that the level of pathway activation in A. fumigatus is variable across host environments, with the hacAi/hacAu splice ratios from corneal tissue resembling the GMM reference, and those from the lung resembling the DTT treatment reference. At face value, this suggests that the HacA-dependent transcriptome in the infected lung resembles the canonical iUPR; however, taking our transcriptomic data into consideration, we predict that there is fine-tuning of UPR readout even across environments that trigger hacA splicing. Why comparatively less hacA splicing is observed in the FK cornea remains unclear since many lung-relevant ER stressors also present in the cornea, including nutrient limitation and oxidative stress imparted by infiltrating neutrophils. Indeed, deletion of the A. fumigatus genes encoding superoxide dismutase or the ROS-sensitive transcription factor gene, yap1, results in a hypersensitivity to exogenous oxidizers and reduced fungal burden in a murine model of FK [76]. Moreover, and despite its proximity to ambient air, neutrophils furthermore drive the development corneal hypoxia during herpes simplex virus-1 keratitis, suggesting low oxygen may also be relevant during FK [82]. Even though the salient stress differences between the cornea and lung remain obscure, HacA nevertheless appears to essential for invasive growth in both tissues due to its role in nutrient acquisition, intracellular redox balance, metal ion homeostasis, and cell wall homeostasis. Importantly, this suggests the pathway could serve as a target for novel antifungals that can improve both visual and survival outcomes in patients afflicted by this important pathogen.

Materials and methods

Ethics statement

All animal studies were performed in accordance with the Association for Research in Vision and Ophthalmology (ARVO) guidelines for the use of animals in vision research and were approved by the University of Oklahoma Health Sciences Center Institutional Animal Care and Use Committee (Protocol: 20-060-CI).

Fungal strains and growth

Aspergillus fumigatus Af293 served as the WT background and all fungal strains generated for this study are listed in the S1 Table. The strains were maintained on a glucose minimal medium (GMM AT) containing 1% glucose, Clutterbuck salts, and Hutner’s trace elements, 10 mM ammonium tartrate, pH = 6.5 [83]. Phenotypes of the strains were assessed on: yeast, peptone, and dextrose (YPD), containing 2% dextrose, 2% peptone, 1% yeast extract; gelatin minimal medium (Gel-MM), containing 1% gelatin, Clutterbuck salts, and Hutner’s trace elements, pH = 6.5; 1% skim milk containing Clutterbuck salts, and Hutner’s trace elements, pH = 6.5 or; GMM supplemented with 1% BSA (GMM BSA) as the sole nitrogen source. For solid media assays, agar was used as a solidifying agent. For stress assays, 2x103 of the indicated strains were spot inoculated onto media containing the indicated concentrations of brefeldin A (BFA, Sigma B7651), tunicamycin (Enzo #BML-CC104-0010), hydrogen peroxide, menadione, Congo Red (Sigma #C6767), Bathophenanthrolinedisulfonic acid disodium salt hydrate (BPS, Sigma #11890) and incubated at the temperature and duration as described. For liquid culture assays, optical density was measured at 530 nm. Ex vivo growth involved inoculation of 2x103 conidia onto brain or lung tissue explanted from C57BL/6 animals. Statistical analysis of radial growth, biomass, or optical density across replicate samples was performed in GraphPad Prism 9.3.1. as described in the corresponding figure legends.

Generation of A. fumigatus mutant strains

For the generation of protoplasts, conidia were inoculated in GMM AT supplemented with 0.5% yeast extract for 10 h at 30°C and the resulting biomass was digested with an enzyme cocktail containing: 5 mg/ml of Lysing Enzymes from Trichoderma harzanium, 5 mg/ml of Driselase, and 100 μg of chitinase in an osmotic medium (1.2 M MgSO4, 10 mM Sodium Phosphate Buffer pH 5.8) at 30°C for 4h. DNA and CRISPR ribonucleoproteins (RNPs) were introduced into protoplasts by co-incubation with polyethylene glycol (60% PEG M.W. 3350 w/v, Sigma #P4338) as previously described [84,85] and protoplasts were recovered on solid GMM AT media supplemented with 1.2 M sorbitol containing hygromycin (200 μg/mL), phleomycin (125 μg/mL) or pyrithiamine (1 μg/mL) as indicated.

Targeted deletion of the hacA, xprG2, and xprG1 genes was performed using Cas-mediated homologous recombination as described previously [36]. Briefly, repair templates were generated by amplifying the hph (from pan7-1) or bleR markers (from p402R) using primers containing 35 bp homology to either side of the targeted locus. 10 μg of repair template DNA template were co-transformed into fungal protoplasts along with two Cas9 RNPs, each assembled with a CRISPR guide RNA (Integrated DNA Technologies) that targeted a PAM site at one end of the gene coding sequence. The prtT single deletion mutant was generated through a split-marker homologous recombination approach [86] in which ~1 Kb of the sequence upstream of the prtT coding sequence was fused to the first two-thirds of the bleR cassette (left arm construct) and the second two-thirds of the bleR cassette was fused to ~1 Kb of the downstream prtT flanking sequence (right arm construct). 10 μg of both the left and right arm constructs were then introduced to WT Af293 protoplasts.

To generate the prtT/xprG1/xprG2 triple mutant, cross-reactive xprG1/2 RNPs, along with a pyrithiamine (ptrA) repair template (also containing homology to both loci), was introduced into the ΔprtT protoplasts. PCR of genomic DNA was used to confirm the loss of the targeted locus among drug resistant transformants.

Complementation of ΔhacA was achieved through co-transformation of bleR and hacA (promoter + coding sequence) PCR products into mutant protoplasts. Ectopic integration of the hacA fragment among phleomycin-resistant transformants was confirmed by PCR of genomic DNA.

Disruption of the native hacA and ireA promoters with the tetracycline repressible (tTA/TetOff) cassette was performed in an Af293 mutant constitutively expressing mCherry and as previously described [36,38]. Briefly, the TetOff cassette amplified from pSK-606 was fused to a bleR amplicon by overlap PCR with primers that introduced 35 bp flanking homology to the target locus. The replacement construct was introduced into fungal protoplasts along with an RNPs that targeted the native locus. Homologous integration of the cassette was confirmed by PCR and phenotypes of the mutants were evaluated on GMM AT plates containing 80 μg/mL of doxycycline hyclate (Sigma #D9891).

All CRISPR guide RNAs and primers (Integrated DNA Technologies) used to generate transformation constructs and for genotyping are listed in the S2 Table.

Azocollagen assay

Collagenase secretion of A. fumigatus culture supernatants was quantified using Azocoll (Millipore Sigma) hydrolysis as previously described [87]. Briefly, conidia were inoculated at a concentration of 1 x 105/mL in 25 ml GMM supplemented with 10% heat-inactivated fetal bovine serum (ATCC, USA) as shown previously [14]. Following culture at 200 rpm for 72 h at 35°C, supernatants were centrifuged at 12,000 rpm for 5 minutes and a 100 μL aliquot was added to 400 μL of pre-washed Azocoll (5 mg/mL) prepared using a buffer containing 50 mM Tris-HCl (pH 7.5), 0.01% (wt/vol) sodium azide and 1 mM CaCl2 [87]. The samples were then incubated at 37°C for 3 h with gentle shaking. The tubes were centrifuged at 10,000 rpm for 3 min, and the absorbance was measured at 520 nm to measure the release of azo dye from the supernatant. These values were normalized to the dry weight (g) of the different strains using the 72 h biomass that was transferred to Whatmann paper and incubated at 56°C for 48 h.

Murine model of keratitis

Inoculum: 5x106 conidia were inoculated into 20 ml YPD and incubated for approximately 4 h at 35°C until they reached the stage where most of the conidia were swollen. The biomass was then collected by centrifugation, washed 4x with PBS, and resuspended in 500 μL of PBS. The volumes were then adjusted to normalize the strains to an OD 360 nm of 0.8.

Infections: 6-8-week-old C57B6/6J mice (Jackson Laboratory) or CD-1 mice (Charles River) were used as indicated. Animals were immunosuppressed with an intraperitoneal (IP) injection of 100 mg/kg Depo-Medrol (Zoetis, USA) on the day preceding inoculation (day -1). On day 0, mice were anesthetized with 100 mg/kg ketamine and 6.6 mg/kg xylazine IP and an Algerbrush II was used to abrade the central epithelium of the right eye to a diameter of 1 mm. 5 μL of fungal inocula (described above) were applied to ulcerated eyes and removed with a Kim wipe after 20 minutes. A single dose of Buprenorphine SR (1 mg/kg) was administered subcutaneously for analgesia. The contralateral eye of each animal remained uninfected in accordance with the ARVO ethical guidelines.

In vivo imaging: Micron IV slit-lamp imaging: The animals were monitored every day p.i. by capturing live corneal photographs obtained from mice anesthetized with isoflurane with a Micron IV slit-lamp imaging system (Phoenix Research Labs Inc., CA, USA) for up to 72 h p.i. Anterior segment spectral-domain optical coherent tomography (OCT): The corneal thickness was measured for all the mice at 48 and 72 h p.i. using an OCT equipment (Leica Microsystems, IL, USA). Before imaging, the mice were anesthetized using isoflurane and a 12 mm telecentric lens was used to generate a 4x4 mm image. The reference arm was calibrated and set to 885 by the manufacturer. The InVivoVue driver software was used to analyze the images. To quantify the corneal thickness, measurement was performed using an 11x11 spider plot to cover the entire eye, and an average of 13 readings were taken, and analyzed by Ordinary one-way ANOVA in GraphPad Prism 9.3.1. Algerbrushed sham-infected eyes were used as a control.

Histopathological examination: Control and infected eyes were harvested and fixed with 10% neutral buffered formalin for 4 h followed by 70% ethanol until further processing. The eyes were sectioned (5 μm thick) and stained with Periodic acid Schiff-hematoxylin (PASH) to evaluate the fungal cell wall and the host inflammatory response in the murine model of FK.

Fungal burden determination: Corneas were dissected aseptically and homogenized in 1 ml of 2 mg/ml collagenase buffer, and a 100 μl aliquot was plated in triplicate onto inhibitory mold agar (IMA) plates and incubated at 35°C for 24 h to determine the number of colony-forming units (CFU) per cornea. The statistical analysis on the colony counts was performed across the group using Ordinary one-way ANOVA in GraphPad Prism 9.3.1. The sham-infected eyes were used as controls.

Clinical scoring: The micron images were visually scored using the criteria previously established for keratitis by two blinded reviewers [88]. Briefly, eyes were graded on a scale of 0 to 4 and averaged based on surface regularity, area of opacification, and density of opacification. The statistical analysis on the average score per cornea was measured across the group using Ordinary one-way ANOVA in GraphPad Prism 9.3.1.

RNA isolation from infected corneas: Animals were euthanized by CO2 asphyxiation at the indicated time points p.i., and corneas were resected and stored at -80°C until processing. Tissues were homogenized with a TissueLyser LT (Qiagen, Maryland, USA) at 50 oscillations/s for two 30 s cycles in the presence of stainless-steel beads (Green bead lysis kits, Next Advance, New York, USA). Total RNA was extracted from homogenate supernatants using an Rneasy kit (Qiagen, USA) per the manufacturer’s guidelines.

Murine model of invasive pulmonary aspergillosis

For the cumulative mortality study, 6–8-week-old CD-1 male mice were immunosuppressed using triamcinolone acetonide (40 mg/kg of body weight of Kenalog-10; Bristol-Myers Squibb) on days -1, +3, +5 and +7. Under anesthesia by isofluorane, 2 x 106 conidia from the indicated strains were instilled intranasally in a total volume of 40 μL PBS. Survival was monitored for 14 days.

For the histopathological experiment, 6–8-week-old CD-1 male mice were immunosuppressed using triamcinolone acetonide (40 mg/kg of body weight of Kenalog-10; Bristol-Myers Squibb) on days -1, +2, and +5. On days +1, +2, +3 and +5 p.i., animals were euthanized by CO2 asphyxiation, and lungs were removed and fixed with 10% neutral buffered formalin. Sections of the lungs were stained with Grocott methenamine silver (GMS) or hematoxylin and eosin (H&E). Olympus virtual slide scanner was used to scan and image the samples.

Isolation of total RNA from infected lungs: Animals were euthanized by CO2 asphyxiation at the indicated time points p.i. and lungs were resected and stored at -80°C until processing. The frozen samples were then subjected to a lyophilization for 72 h and homogenized with TissueLyser LT (Qiagen, Maryland, USA) in the presence of 6.35 mm diameter stainless steel bead (BioSpec #11079635c). Total RNA was extracted from homogenate supernatants using an Rneasy kit (Qiagen, USA) per the manufacturer’s guidelines.

Transcriptomics

8 ml of GMM AT and gelatin MM were inoculated with WT or ΔhacA with a density of 1.0 x 105/mL in 6-well plates and incubated in 35°C static culture for 48 h. As indicated, GMM AT cultures were treated with 10 mM DTT 2 h prior to harvest. The biomass was harvested and placed in a 1.5 mL microcentrifuge tube with 1.0 mm diameter glass beads (BioSpec, Bartlesville, OK, USA) and tissue was homogenized using TissueLyser LT (Qiagen, Maryland, USA). RNA extraction was performed using an Qiagen Rnease kit and treated with DNAse as described above. Stranded RNA-seq libraries were constructed using NEBNext poly(A) mRNA isolation kit along with the SWIFT RNA Library Kit (NEB, MA, USA) according to the established protocols at Laboratory for Molecular Biology and Cytometry Research (LMBCR) at The University of Oklahoma Health Sciences Center (OK, USA). The library construction was done using 100 ng of RNA. Each of the 18 libraries was indexed during library construction to multiplex for sequencing. Libraries were quantified using a Qubit 4 fluorometer (Invitrogen, MA, USA) and checked for size and quality on Bioanalyzer 2100 (Agilent, CA, USA). Samples were normalized and pooled onto a 150 paired end run on NovaSeq (Illumina, CA, USA) to obtain 50M reads per sample. Differentially expressed genes (DEGs) between groups were considered to be significant if the difference was at least ≥4-fold. Gene ontology (GO) and Functional Catalogue (FunCat) were used to systemically categorize the DEGs.

RT-PCR and qRT-PCR analyses

RNA isolated from fungal culture or tissue was Dnase-treated using the Dnase I kit (Millipore Sigma, Massachusetts, USA). The quantity and quality of RNA were determined using the Nanodrop 2000 (Thermo Fisher Scientific, Massachusetts, USA). The RNA was normalized for cDNA conversion using ProtoScript II First Strand cDNA Synthesis Kit (New England Biolabs, Massachusetts, USA) following the manufacturer’s protocol. qRT-PCR was performed using Luna Universal qPCR master mix (SYBR green; NEB, USA) on the QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific, Massachusetts, USA) and analysis was performed using QuantStudio Design and Analysis Software v1.5.2. The fold-expression changes were calculated using the 2-ΔΔCt method and followed by analysis using MS-Excel and Graph Pad Prism 9.3.1.

hacA splicing: To visualize the presence of the two hacA splice forms (uninduced form hacAu– 665 bp; induced form hacAi– 645 bp) from cDNA derived from fungal culture or infected tissues (as described above), end point PCR was performed using primers that spanned the predicted splice region (689/690 in S2 Table). The resulting amplicons were then run on a 3% agarose gel at 40 mV for 10 h and visualized with ethidium bromide staining. For quantitative analysis, qRT-PCR was performed with separate PCR reactions with primer sets that were specific to either the unspliced or spliced hacA.

All endpoint and qPCR primers used in this study are listed in the S2 Table.

Supporting information

S1 Fig. Genotypic validation and additional phenotypes of the Af293 ΔhacA mutant.

(A) An overview of the hacA deletion strategy using in vitro assembled Cas9 RNPs confirmed by PCR of genomic DNA, (B) 72 h colony diameters of the indicated strains on YPD, GMM with ammonium tartrate as the nitrogen source (GMM-AT), GMM with BSA as the nitrogen source (GMM-BSA), or gelatin minimal medium. Data represented as mean of triplicate samples analyzed by two-way ANOVA **** <0.0001, (C) Colonial appearance of the indicated strains following growth on varying concentrations of brefeldin A (BFA) for 35°C for 48 h.

(TIF)

S2 Fig. IreA is essential for the growth of A. fumigatus (Af293).

(A) Schematic representation of hacA and ireA promoter replacement with the Tet-Off cassette tagged with the phleomycin resistance gene (bleR), (B) PCR strategy and genotyping of the generated Ptetoff-hacA and Ptetoff-ireA strains, (C) Colonial appearance of the indicated strains grown with or withouth 80 μg/mL doxycycline. Photographs taken following transfer of hyphal plugs onto the media and incubating at 35°C for 72 h.

(TIF)

S3 Fig. A. fumigatus ΔhacA is avirulent in the cornea of both male and female C57BL/6J mice.

(A) Representative slit-lamp images of infected murine corneas at 24, 48 and 72 h p.i. (B) 72 h clinical disease scores of pooled male and female animals; data analyzed by Ordinary one-way ANOVA **** <0.0001. (C) 72 h corneal thickness measurements based on OCT and measuring 13 points across cornea; (n = 10/group, analyzed by Ordinary one-way ANOVA p-value **** <0.0001. (D) Fungal burden at 72 h p.i. as determined by colony forming unit (CFU) analysis from corneal homogenates; data analyzed by Ordinary one-way ANOVA p-value **** <0.0001; ** 0.0012. (E) Representative PASH stained corneal corneal sections at 72 h p.i. (F) The same 72 h clinical disease scores in panel B with male and female animals separated. (G) The same 72 h corneal thickness measurements in panel C, with male and female animals separated.

(TIF)

S4 Fig. Genotypic validation and collagenase activity of the protease-deficient mutants.

(A) Genomic PCR demonstrating replacement of the prtT coding sequence with the bleR cassette. (B) Genotypic analysis of the ΔxprG1ΔxprG2, ΔxprG2, and ΔprtTΔxprG1ΔxprG2 mutants using a multiple PCR scheme. (C) Collagenase activity of cultured supernatants following 72 h incubation at 35°C in GMM-FBS; data are depicted as raw absorbances at 520 nm following azocoll degradation and represent the mean of triplicate samples analyzed by Ordinary one-way ANOVA * p-value <0.0001 compared to the negative control. (D) Amino Acid sequence alignment for xprG1 (Afu8g04050) and xprG2 (Afu1g00580) using a Smith-Waterman local alignment on SnapGene v7.0.2. The alignment shows NDT80 DNA binding domain (amino acid residues 86–290) in XprG1 (green) and the putatively non-functional NDT80 (missing amino acid residues 235–270) domain of XprG2 sequence (red).

(TIF)

S5 Fig. Analysis of ΔhacA sensitivity to various stresses.

(A) Dry weight of Af293 WT and ΔhacA grown in liquid GMM with and without 2 μM H2O2 for 72 h at 35°C; data represent the mean of triplicate samples analyzed by unpaired T-test. (B) Conidia of WT and ΔhacA were spotted on GMM containing a concentration gradient of H2O2. Photographs taken after 72 h incubation at 35°C. (C) Dry weight of Af293 WT and ΔhacA grown in liquid GMM with and without 60 μM menadione for 72 h at 35°C; data represent the mean of triplicate samples analyzed by unpaired T-test. (D) Photographs taken of the indicated strains following growth on GMM and gelatin MM at 35°C for 72 h in normoxia or hypoxia (1% O2). The ΔhacA mutant is developmentally delayed on gelatin, but its mycelial growth is indistinguishable in normoxia and hypoxia. (E) 24–72 h growth rate measurement on YPD plates with 200 μM of the iron chelator bathophenanthrolinedisulfonate (BPS). (F) Conidia of the indicated strains were spotted onto GMM a concentration gradient of BPS; photographs taken after 72 h incubation at 35°C. (G) Conidia of the indicated strains were spotted onto GMM a concentration gradient of Congo red; photographs taken after 72 h incubation at 35°C.

(TIF)

S1 Data. DEGs and enriched terms for WT-GMM vs WT-DTT.

(XLSX)

S2 Data. DEGs and enriched terms for WT-GMM vs WT-Gel MM.

(XLSX)

S3 Data. DEGS and enriched terms for WT vs ΔhacA (GMM).

(XLSX)

S4 Data. DEGS and enriched terms for WT vs ΔhacA (Gel MM).

(XLSX)

S5 Data. DEGS and enriched terms for WT vs ΔhacA (DTT).

(XLSX)

S6 Data. Common ΔhacA DEGs across all three conditions (GMM, Gel MM, DTT).

(XLSX)

S7 Data. Unique ΔhacA DEGs for each of the three conditions (GMM, Gel MM, DTT).

(XLSX)

S1 Table. Strains and plasmids used in the study.

(XLSX)

S2 Table. Primers and CRISPR RNAs used in this study.

(XLSX)

Acknowledgments

We thank Mark Dittmar and staff (DMEI Animal Research Facility), Linda Boone and Louisa Williams (DMEI Imaging Core), and the Institutional Research Core Facility at OUHSC which provided total RNA library construction and sequencing. We also thank Dr. Jarrod Fortwendel at the University of Tennessee Health Sciences Center for the generous gift of the pSK-606 plasmid.

Data Availability

All relevant data are available within the manuscript and its supporting information files.

Funding Statement

This work was supported by the National Institutes of Health (NIH) and Research to Prevent Blindness (RPB). R01EY021725 (NIH) provided salary support to KKF, MMK and EMA; P20GM134973 (NIH) provided salary support to KKF, MMK, BLW, and EMA; an RPB Career Development Award provided salary support to JDL, BLW and KKF; and T32EY023202 (NIH) provided fellowship support to JDL. Research support to the OUHSC Department of Ophthalmology was further provided through P30EY021725 (NIH) and an unrestricted grant from RPB. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Fleck CB, Schöbel F, Brock M. Nutrient acquisition by pathogenic fungi: Nutrient availability, pathway regulation, and differences in substrate utilization. Int J Med Microbiol [Internet]. 2011;301(5):400–7. Available from: doi: 10.1016/j.ijmm.2011.04.007 [DOI] [PubMed] [Google Scholar]
  • 2.Krishnan K, Askew DS. The fungal UPR: A regulatory hub for virulence traits in the mold pathogen Aspergillus fumigatus. Virulence. 2014;5(2):334–40. doi: 10.4161/viru.26571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Braunsdorf C, Mailänder-Sánchez D, Schaller M. Fungal sensing of host environment. Cell Microbiol. 2016;18(9):1188–200. doi: 10.1111/cmi.12610 [DOI] [PubMed] [Google Scholar]
  • 4.Liu L, Feizi A, Österlund T, Hjort C, Nielsen J. Genome-scale analysis of the high-efficient protein secretion system of Aspergillus oryzae. BMC Syst Biol. 2014;8(1):1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hoang HD, Maruyama JI, Kitamoto K. Modulating endoplasmic reticulum-Golgi cargo receptors for improving secretion of carrier-fused heterologous proteins in the filamentous fungus Aspergillus oryzae. Appl Environ Microbiol. 2015;81(2):533–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Römisch K. A cure for traffic jams: Small molecule chaperones in the endoplasmic reticulum. Traffic. 2004;5(11):815–20. doi: 10.1111/j.1600-0854.2004.00231.x [DOI] [PubMed] [Google Scholar]
  • 7.Ntana F, Mortensen UH, Sarazin C, Figge R. Aspergillus: A powerful protein production platform. Catalysts. 2020;10(9):1–29. [Google Scholar]
  • 8.Richie DL, Feng X, Krishnan K, Askew DS. Secretion stress and antifungal resistance: An Achilles’ heel of Aspergillus fumigatus? Med Mycol. 2011;49(SUPPL. 1):101–6. doi: 10.3109/13693786.2010.497504 [DOI] [PubMed] [Google Scholar]
  • 9.Guillemette T, van Peij NNME, Goosen T, Lanthaler K, Robson GD, van den Hondel CAMJJ, et al. Genomic analysis of the secretion stress response in the enzyme-producing cell factory Aspergillus niger. BMC Genomics. 2007;8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Mori K. Signalling pathways in the unfolded protein response: Development from yeast to mammals. J Biochem. 2009;146(6):743–50. doi: 10.1093/jb/mvp166 [DOI] [PubMed] [Google Scholar]
  • 11.Tran DM, Kimata Y. The unfolded protein response of yeast Saccharomyces cerevisiae and other organisms. Plant Morphol. 2018;30(1):15–24. [Google Scholar]
  • 12.Kimata Y, Ishiwata-Kimata Y, Yamada S, Kohno K. Yeast unfolded protein response pathway regulates expression of genes for anti-oxidative stress and for cell surface proteins. Genes to Cells. 2006;11(1):59–69. doi: 10.1111/j.1365-2443.2005.00921.x [DOI] [PubMed] [Google Scholar]
  • 13.Guirao-Abad JP, Weichert M, Askew DS. Cell death induction in Aspergillus fumigatus: accentuating drug toxicity through inhibition of the unfolded protein response (UPR). Curr Res Microb Sci. 2022;3. doi: 10.1016/j.crmicr.2022.100119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Richie DL, Hartl L, Aimanianda V, Winters MS, Fuller KK, Miley MD, et al. A role for the unfolded protein response (UPR) in virulence and antifungal susceptibility in Aspergillus fumigatus. PLoS Pathog. 2009;5(1). doi: 10.1371/journal.ppat.1000258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Feng X, Krishnan K, Richie DL, Aimanianda V, Hartl L, Grahl N, et al. Haca-independent functions of the ER stress sensor irea synergize with the canonical UPR to influence virulence traits in Aspergillus fumigatus. PLoS Pathog. 2011;7(10). doi: 10.1371/journal.ppat.1002330 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Weichert M, Guirao-Abad J, Aimanianda V, Krishnan K, Grisham C, Snyder P, et al. Functional Coupling between the Unfolded Protein Response and Endoplasmic Reticulum/Golgi Ca2ⴙ-ATPases Promotes Stress Tolerance, Cell Wall Biosynthesis, and Virulence of Aspergillus fumigatus. mBio. 2020;11(3). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Richie DL, Feng X, Hartl L, Aimanianda V, Krishnan K, Powers-Fletcher M V., et al. The virulence of the opportunistic fungal pathogen Aspergillus fumigatus requires cooperation between the endoplasmic reticulum-associated degradation pathway (ERAD) and the unfolded protein response (UPR). Virulence. 2011;2(1):12–21. doi: 10.4161/viru.2.1.13345 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Malavazi I, Goldmanm GH, Brown NA. The importance of connections between the cell wall integrity pathway and the unfolded protein response in filamentous fungi. Brief Funct Genomics. 2014;13(6):456–70. doi: 10.1093/bfgp/elu027 [DOI] [PubMed] [Google Scholar]
  • 19.Krishnan K, Ren Z, Losada L, Nierman WC, Lu LJ, Askew DS. Polysome profiling reveals broad translatome remodeling during endoplasmic reticulum (ER) stress in the pathogenic fungus Aspergillus fumigatus. BMC Genomics [Internet]. 2014;15(1):1–14. BMC Genomics doi: 10.1186/1471-2164-15-159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hissen AHT, Wan ANC, Warwas ML, Pinto LJ, Moore MM. The Aspergillus fumigatus siderophore biosynthetic gene sidA, encoding L-ornithine N5-oxygenase, is required for virulence. Infect Immun. 2005;73(9):5493–503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Schrettl M, Bignell E, Kragl C, Joechl C, Rogers T, Arst HN, et al. Siderophore biosynthesis but not reductive iron assimilation is essential for Aspergillus fumigatus virulence. J Exp Med. 2004;200(9):1213–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Fortwendel JR, Zhao W, Bhabhra R, Park S, Perlin DS, Askew DS, et al. A fungus-specific Ras homolog contributes to the hyphal growth and virulence of Aspergillus fumigatus. Eukaryot Cell. 2005;4(12):1982–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Steinbach WJ, Cramer RA, Perfect BZ, Asfaw YG, Sauer TC, Najvar LK, et al. Calcineurin controls growth, morphology, and pathogenicity in Aspergillus fumigatus. Eukaryot Cell. 2006;5(7):1091–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Fortwendel JR, Juvvadi PR, Rogg LE, Asfaw YG, Burns KA, Randell SH, et al. Plasma membrane localization is required for RasA-mediated polarized morphogenesis and virulence of Aspergillus fumigatus. Eukaryot Cell. 2012;11(8):966–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fuller KK, Richie DL, Feng X, Krishnan K, Stephens TJ, Wikenheiser-Brokamp KA, et al. Divergent Protein Kinase A isoforms co-ordinately regulate conidial germination, carbohydrate metabolism and virulence in Aspergillus fumigatus. Mol Microbiol. 2011;79(4):1045–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Brown L, Leck AK, Gichangi M, Burton MJ, Denning DW. The global incidence and diagnosis of fungal keratitis. Lancet Infect Dis [Internet]. 2020;3099(20):1–9. Available from: doi: 10.1016/S1473-3099(20)30448-5 [DOI] [PubMed] [Google Scholar]
  • 27.Ma S keung E, So K, hong Chung P, Tsang H fai T, kwan Chuang S. A multi-country outbreak of fungal keratitis associated with a brand of contact lens solution: the Hong Kong experience. Int J Infect Dis. 2009;13(4):443–8. doi: 10.1016/j.ijid.2007.12.018 [DOI] [PubMed] [Google Scholar]
  • 28.Acharya Y, Acharya B, Karki P. Fungal keratitis: study of increasing trend and common determinants. Nepal J Epidemiol. 2017;7(2):685–93. doi: 10.3126/nje.v7i2.17975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Leal SM, Cowden S, Hsia YC, Ghannoum MA, Momany M, Pearlman E. Distinct roles for Dectin-1 and TLR4 in the pathogenesis of Aspergillus fumigatus keratitis. PLoS Pathog. 2010;6(7):1–16. doi: 10.1371/journal.ppat.1000976 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ansari Z, Miller D, Galor A. Current thoughts in fungal keratitis: Diagnosis and treatment. Curr Fungal Infect Rep. 2013;7(3):209–18. doi: 10.1007/s12281-013-0150-110.1007/s12281-013-0150-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Taylor PR, Leal SM, Sun Y, Pearlman E. Aspergillus and Fusarium Corneal Infections Are Regulated by Th17 Cells and IL-17–Producing Neutrophils. J Immunol. 2014;192(7):3319–27. doi: 10.4049/jimmunol.1302235 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Qiu S, Zhao GQ, Lin J, Wang X, Hu LT, Du ZD, et al. Natamycin in the treatment of fungal keratitis: A systematic review and Meta-analysis. Int J Ophthalmol. 2015;8(3):597–602. doi: 10.3980/j.issn.2222-3959.2015.03.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hoffman JJ, Arunga S, Mohamed Ahmed AHA, Hu VH, Burton MJ. Management of Filamentous Fungal Keratitis: A Pragmatic Approach. J Fungi. 2022;8(10). doi: 10.3390/jof8101067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Hatmaker EA, Rangel-Grimaldo M, Raja HA, Pourhadi H, Knowles SL, Fuller K, et al. Genomic and Phenotypic Trait Variation of the Opportunistic Human Pathogen Aspergillus flavus and Its Close Relatives. Microbiol Spectr. 2022;10(6). doi: 10.1128/spectrum.03069-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bertuzzi M, van Rhijn N, Krappmann S, Bowyer P, Bromley MJ, Bignell EM. On the lineage of Aspergillus fumigatus isolates in common laboratory use. Med Mycol. 2021;59(1):7–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Al Abdallah Q, Ge W, Fortwendel JR. A Simple and Universal System for Gene Manipulation in Aspergillus fumigatus: In Vitro -Assembled Cas9-Guide RNA Ribonucleoproteins Coupled with Microhomology Repair Templates. mSphere. 2017;2(6). doi: 10.1128/mSphere.00446-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Martin-Vicente A, Souza ACO, Al Abdallah Q, Ge W, Fortwendel JR. SH3-class Ras guanine nucleotide exchange factors are essential for Aspergillus fumigatus invasive growth. Cell Microbiol. 2018;21(6):1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Martin-Vicente A, Souza ACO, Nywening A V., Ge W Fortwendel JR Overexpression of the Aspergillus fumigatus small gtpase, rsra, promotes polarity establishment during germination. J Fungi. 2019;6(4):1–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Shemesh E, Hanf B, Hagag S, Attias S, Shadkchan Y, Fichtman B, et al. Phenotypic and proteomic analysis of the Aspergillus fumigatus ΔPrtT, ΔXprG and ΔXprG/ΔPrtT protease-deficient mutants. Front Microbiol. 2017;8(DEC):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Sharon H, Hagag S, Osherov N. Transcription factor PrtT controls expression of multiple secreted proteases in the human pathogenic mold Aspergillus fumigatus. Infect Immun. 2009;77(9):4051–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Clemons K V., Schwartz JA, Stevens DA. Therapeutic and toxicologic studies in a murine model of invasive pulmonary aspergillosis. Med Mycol. 2011;49(8):834–47. [DOI] [PubMed] [Google Scholar]
  • 42.Norton TS, Al Abdallah Q, Hill AM, Lovingood R V., Fortwendel JR. The Aspergillus fumigatus farnesyltransferase β-subunit, RamA, mediates growth, virulence, and antifungal susceptibility. Virulence [Internet]. 2017;8(7):1401–16. Available from: 10.1080/21505594.2017.1328343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Fuller KK, Cramer RA, Zegans ME, Dunlap JC, Loros JJ. Aspergillus fumigatus photobiology illuminates the marked heterogeneity between isolates. MBio. 2016;7(5):1–10. doi: 10.1128/mBio.01517-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wang F-M, Ouyang H-J. Regulation of unfolded protein response modulator XBP1s by acetylation. Biochem J. 2011;433(1):245–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Soriani FM, Malavazi I, Da Silva Ferreira ME, Savoldi M, Von Zeska Kress MR, De Souza Goldman MH, et al. Functional characterization of the Aspergillus fumigatus CRZ1 homologue, CrzA. Mol Microbiol. 2008;67(6):1274–91. doi: 10.1111/j.1365-2958.2008.06122.x [DOI] [PubMed] [Google Scholar]
  • 46.Cramer RA, Perfect BZ, Pinchai N, Park S, Perlin DS, Asfaw YG, et al. Calcineurin target CrzA regulates conidial germination, hyphal growth, and pathogenesis of Aspergillus fumigatus. Eukaryot Cell. 2008;7(7):1085–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Park HS, Bayram Ö, Braus GH, Kim SC, Yu JH. Characterization of the velvet regulators in Aspergillus fumigatus. Mol Microbiol. 2012;86(4):937–53. [DOI] [PubMed] [Google Scholar]
  • 48.Dhingra S, Andes D, Calvoa AM. VeA regulates conidiation, gliotoxin production, and protease activity in the opportunistic human pathogen Aspergillus fumigatus. Eukaryot Cell. 2012;11(12):1531–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Colabardini AC, Wang F, Dong Z, Pardeshi L, Rocha MC, Costa JH, et al. Heterogeneity in the transcriptional response of the human pathogen Aspergillus fumigatus to the antifungal agent caspofungin. Genetics. 2022;220(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Beattie SR, Mark KMK, Thammahong A, Nicolas L, Ries A, Dhingra S, et al. Filamentous fungal carbon catabolite repression supports metabolic plasticity and stress responses essential for disease progression. 2017;1–29. doi: 10.1371/journal.ppat.1006340 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Kopacz D, Niezgoda L, Fudalej E, Nowak A, Maciejewicz P. Tear Film–Physiology and Disturbances in Various Diseases and Disorders. In: Ocular Surface Diseases: Some Current Date on Tear Film Problem and Keratoconic Diagnosis. 2021. [Google Scholar]
  • 52.Pflugfelder SC, Stern ME. Biological Functions of Tear Film. Exp Eye\. 2020;197(108115):1–16. doi: 10.1016/j.exer.2020.108115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Brown ME, Montgomery ML, Kamath MM, Nicholas S, Liu Y, Karamichos D, et al. A novel 3D culture model of fungal keratitis to explore host-pathogen interactions within the stromal environment. Exp Eye Res. 2021;207(108581):1–27. doi: 10.1016/j.exer.2021.108581 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.López CG, Rodríguez M, Romano V, Rocha-de-Lossada C. The role of matrix metalloproteinases in infectious. Surv Ophthalmol [Internet]. 2023;68(5):929–39. Available from: 10.1016/j.survophthal.2023.06.007. [DOI] [PubMed] [Google Scholar]
  • 55.Yoshimi A, Miyazawa K, Abe K. Cell wall structure and biogenesis in aspergillus species. Biosci Biotechnol Biochem. 2016;80(9):1700–11. doi: 10.1080/09168451.2016.1177446 [DOI] [PubMed] [Google Scholar]
  • 56.Latgé JP, Beauvais A, Chamilos G. The Cell Wall of the Human Fungal Pathogen Aspergillus fumigatus: Biosynthesis, Organization, Immune Response, and Virulence. Annu Rev Microbiol. 2017;71(May):99–116. [DOI] [PubMed] [Google Scholar]
  • 57.Maubon D, Park S, Tanguy M, Huerre M, Schmitt C, Prévost MC, et al. AGS3, an α(1–3)glucan synthase gene family member of Aspergillus fumigatus, modulates mycelium growth in the lung of experimentally infected mice. Fungal Genet Biol. 2006;43(5):366–75. [DOI] [PubMed] [Google Scholar]
  • 58.Beauvais A, Bozza S, Kniemeyer O, Formosa C, Balloy V, Henry C, et al. Deletion of the α-(1,3)-Glucan Synthase Genes Induces a Restructuring of the Conidial Cell Wall Responsible for the Avirulence of Aspergillus fumigatus. PLoS Pathog. 2013;9(11). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Brissette-Storkus CS, Reynolds SM, Lepisto AJ, Hendricks RL. Identification of a novel macrophage population in the normal mouse corneal stroma. Investig Ophthalmol Vis Sci. 2002;43(7):2264–71. [PMC free article] [PubMed] [Google Scholar]
  • 60.Hu J, Wang Y, Xie L. Potential role of macrophages in experimental keratomycosis. Investig Ophthalmol Vis Sci. 2009;50(5):2087–94. doi: 10.1167/iovs.07-1237 [DOI] [PubMed] [Google Scholar]
  • 61.Yang RB, Wu LP, Lu XX, Zhang C, Liu H, Huang Y, et al. Immunologic mechanism of fungal keratitis. Int J Ophthalmol. 2021;14(7):1100–6. doi: 10.18240/ijo.2021.07.20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Ballard E, Yucel R, Melchers WJG, Brown AJP, Verweij PE, Warris A. Antifungal Activity of Antimicrobial Peptides and Proteins against Aspergillus fumigatus. J Fungi. 2020;6(65). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Cesare GB De Cristy SA, Garsin DA Lorenz MC. Antimicrobial Peptides: a New Frontier in Antifungal Therapy. MBio. 2020;11(November):1–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Parente R, Doni A, Bottazzi B, Garlanda C, Inforzato A. The complement system in Aspergillus fumigatus infections and its crosstalk with pentraxins. FEBS Lett. 2020;594(16):2480–501. [DOI] [PubMed] [Google Scholar]
  • 65.Shait Mohammed MR, Krishnan S, Amrathlal RS, Jayapal JM, Namperumalsamy VP, Prajna L, et al. Local Activation of the Alternative Pathway of Complement System in Mycotic Keratitis Patient Tear. Front Cell Infect Microbiol. 2020;10(May):1–10. doi: 10.3389/fcimb.2020.00205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.McDermott AM. Defensins and Other Antimicrobial Peptides at the Ocular Surface. Ocul Surf. 2004;2(4):229–47. doi: 10.1016/s1542-0124(12)70111-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.SM Leal Jr. Pearlman E. The Role of Cytokines and Pathogen Recognition Molecules in Fungal Keratitis–insights from human disease and animal models. Cytolkine [Internet]. 2012;58(1):107–11. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624763/pdf/nihms412728.pdf. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Leal SM, Roy S, Vareechon C, Carrion S de J, Clark H, Lopez-Berges MS, et al. Targeting Iron Acquisition Blocks Infection with the Fungal Pathogens Aspergillus fumigatus and Fusarium oxysporum. PLoS Pathog. 2013;9(7):1–16. doi: 10.1371/journal.ppat.1003436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Guruceaga X, Ezpeleta G, Mayayo E, Sueiro-Olivares M, Abad-Diaz-De-Cerio A, Urízar JMA, et al. A possible role for fumagillin in cellular damage during host infection by Aspergillus fumigatus. Virulence [Internet]. 2018;9(1):1548–61. Available from: 10.1080/21505594.2018.1526528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Guruceaga X, Perez-Cuesta U, De Cerio AAD, Gonzalez O, Alonso RM, Hernando FL, et al. Fumagillin, a Mycotoxin of Aspergillus fumigatus: Biosynthesis, biological activities, detection, and applications. Toxins (Basel). 2019;12(1). doi: 10.3390/toxins12010007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Gayathri L, Akbarsha MA, Ruckmani K. In vitro study on aspects of molecular mechanisms underlying invasive aspergillosis caused by gliotoxin and fumagillin, alone and in combination. Sci Rep [Internet]. 2020;10(1):1–20. Available from: 10.1038/s41598-020-71367-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Cramer RA, Gamcsik MP, Brooking RM, Najvar LK, Kirkpatrick WR, Patterson TF, et al. Disruption of a nonribosomal peptide synthetase in Aspergillus fumigatus eliminates gliotoxin production. Eukaryot Cell. 2006;5(6):972–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Kupfahl C, Heinekamp T, Geginat G, Ruppert T, Härtl A, Hof H, et al. Deletion of the gliP gene of Aspergillus fumigatus results in loss of gliotoxin production but has no effect on virulence of the fungus in a low-dose mouse infection model. Mol Microbiol. 2006;62(1):292–302. [DOI] [PubMed] [Google Scholar]
  • 74.Sugui JA, Pardo J, Chang YC, Zarember KA, Nardone G, Galvez EM, et al. Gliotoxin is a virulence factor of Aspergillus fumigatus: GliP deletion attenuates virulence in mice immunosuppressed with hydrocortisone. Eukaryot Cell. 2007;6(9):1562–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Spikes S, Xu R, Nguyen CK, Chamilos G, Kontoyiannis DP, Jacobson RH, et al. Gliotoxin production in Aspergillus fumigatus contributes to host-specific differences in virulence. J Infect Dis. 2008;197(3):479–86. [DOI] [PubMed] [Google Scholar]
  • 76.Leal SM, Vareechon C, Cowden S, Cobb BA, Latgé JP, Momany M, et al. Fungal antioxidant pathways promote survival against neutrophils during infection. J Clin Invest. 2012;122(7):2482–98. doi: 10.1172/JCI63239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Miyazaki Y, Chen L, Chu BW, Swigut T, Wandless TJ. Distinct transcriptional responses elicited by unfolded nuclear or cytoplasmic protein in mammalian cells. 2015;1–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Sircaik S, Andes DR, Panwar SL, Román E, Gow NAR, Bapat P, et al. The protein kinase Ire1 impacts pathogenicity of Candida albicans by regulating homeostatic adaptation to endoplasmic reticulum stress. 2021;(August 2020):1–19. doi: 10.1111/cmi.13307 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Ramírez-Zavala B, Krüger I, Dunker C, Jacobsen ID, Morschhäuser J. The protein kinase Ire1 has a Hac1-independent essential role in iron uptake and virulence of Candida albicans. PLoS Pathog. 2022;18(2). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Heimel K, Freitag J, Hampel M, Ast J, Bölker M, Kämper J. Crosstalk between the unfolded protein response and pathways that regulate pathogenic development in Ustilago maydis. Plant Cell. 2013;25(10):4262–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Schmitz L, Schwier AM, Heimel K. The Unfolded Protein Response Regulates Pathogenic Development of Ustilago maydis by Rok1-Dependent Inhibition of Mating-Type Signaling Lara. MBio. 2019;10(6):e02756–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Rao P, Suvas S. Development of inflammatory hypoxia and prevalence of glycolytic metabolism in progressing herpes stromal keratitis lesion. J Immunol. 2019;202(2):514–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Cove DJ. The induction and repression of nitrate reductase in the fungus Aspergillus nidulans. Biochim Biophys Acta [Internet]. 1966;113(1):51–6. Available from: 10.1016/S0926-6593(66)80120-0. [DOI] [PubMed] [Google Scholar]
  • 84.Szewczyk E, Nayak T, Oakley CE, Edgerton H, Xiong Y, Taheri-Talesh N, et al. Fusion PCR and gene targeting in Aspergillus nidulans. Nat Protoc. 2007;1(6):3111–21. [DOI] [PubMed] [Google Scholar]
  • 85.Fortwendel JR, Fuller KK, Stephens TJ, Bacon WC, Askew DS, Rhodes JC. Aspergillus fumigatus RasA regulates asexual development and cell wall integrity. Eukaryot Cell. 2008;7(9):1530–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Catlett NL, Lee B-N, Yoder OC, Turgeon BG. Split-Marker Recombination for Efficient Targeted Deletion of Fungal Genes. Fungal Genet Rep. 2003;50(1):9–11. [Google Scholar]
  • 87.Gifford AHT, Klippenstein JR, Moore MM. Serum stimulates growth of and proteinase secretion by Aspergillus fumigatus. Infect Immun. 2002;70(1):19–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Zhao J, Wu XY, Yu FSX. Activation of Toll-like receptors 2 and 4 in Aspergillus fumigatus keratitis. Innate Immun. 2009;15(3):155–68. doi: 10.1177/1753425908101521 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Alex Andrianopoulos, Robert A Cramer

19 Jun 2023

Dear Assistant Professor Fuller,

Thank you very much for submitting your manuscript "Basal UPR activity in Aspergillus fumigatus regulates adaptation to nutrient stress and is critical for the establishment of corneal infection" for consideration at PLOS Pathogens. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

Specifically, all three reviewers raised concerns with the presentation and interpretation of the presented data. A significant rewrite here taking into consideration their excellent suggestions will help clarify the conclusions, and their rigor, being drawn from the data. With respect to the latter, Reviewer 1 makes an excellent point about the tissue specificity of the virulence defect. This finding is perhaps the most significant and novel of the study and warrants the additional experiments suggested by this reviewer (i.e. an IPA murine model). Results here may also help with presentation of the data and interpretation of the nutritional phenotypes being observed. 

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Robert A. Cramer, PhD

Academic Editor

PLOS Pathogens

Alex Andrianopoulos

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************

Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: This study examines the impact of the UPR on the ability of A. fumigatus to cause fungal keratitis. The results demonstrate that a mutant lacking the UPR transcription factor HacA is unable to establish a corneal infection. This predicts that the fungus is under ER stress in the corneal environment, which necessitates UPR activation to restore homeostasis. Surprisingly, the authors found that hacA splicing, and the expression of UPR target genes, was not induced during corneal infection relative to levels seen during optimal growth conditions in vitro. However, protease-encoding genes were upregulated in vivo, consistent with the ability of the fungus to use the high collagen content of the cornea as a substrate. The hacA mutant was deficient in protease secretion, which correlated with poor growth on protein-rich substrates. Using gelatin medium as a model of the collagen-rich cornea, the study revealed a role for hacA in the expression of genes involved in metabolic processes that may facilitate nutrient versatility. These findings suggest that the corneal environment does not trigger acute ER stress in A. fumigatus, but that basal activity of the canonical UPR is nonetheless required for infection.

Major strengths

• The manuscript is well written and an interesting read.

• Fungal keratitis has a high rate of morbidity and is an understudied area in fungal biology. The findings raise the possibility that topical applications of emerging UPR inhibitors could have therapeutic potential for keratitis caused by this, as well as other filamentous fungi such as Fusarium.

• A major strength of the paper is the demonstration that the hacA mutant is incapable of causing fungal keratitis and is cleared within 72 h. This is an interesting contrast to previous studies showing that a hacA mutant has attenuated disease progression in a model of invasive pulmonary aspergillosis, but still capable of causing disease. This indicates a tissue-specific requirement for the UPR during infection.

Reviewer #2: The manuscript by Kamath et al. addresses the role(s) of UPR activity in regulating nutrient stress as it pertains to Aspergillus fumigatus infection in the murine corneal infection model. The study is well-designed, and the manuscript is well-written. Authors have clearly established that, like UPR activation is indispensable in a murine model of invasive pulmonary aspergillosis, hacA is essential for the establishment of infection in a model of fungal keratitis . However, major inferences of the study are not supported by data or are over-extrapolated.

Reviewer #3: The authors have presented an interesting piece of work in an understudied yet important infectious disease. Fungal keratitis affects almost 1.5 million eyes each year resulting in over 500k blind eyes. This is one of very few research outputs that has sought to uncover specific mechanisms of virulence associated with this type of infection which is significantly different from other diseases caused by A. fumigatus.

The authors present convincing evidence that the transcription factor HacA, which regulates the unfolded protein response (UPR) in A. fumigatus, plays a critical role in corneal infections. Notably and surprisingly they show that the hacA transcript, which is processed from an uninduced form (hacAu) to an induced form (hacAi) under conditions that induce UPR (high temperature and exposure to the reducing agent DTT) is not induced beyond basal levels (GMM) in a corneal infection model, or in the presence of gelatin -a proxy for corneal collagen which is presumed to be the key source of nutrition for Af in the eye. The authors surmise that the lack of virulence in the hacA null is related to a regulatory role carried out by basal levels of the induced form of hacA. In support of this, transcriptional data is presented that shows loss of HacA results in downregulation of a number of genes associated with the UPR in standard culture conditions and in gelatin MM (although this is not directly stated). Overall the indication from the data is that migration of functional, correctly folded proteins through the ER in environments where secreted proteins are needed for nutritional acquisition require functional HacA. Although it is clear that hacA is required for growth in proteinaceous growth media, it is not responsible for regulation of collagenases and proteases that are upregulated upon exposure to the cornea, providing further circumstantial evidence that export but not production of these enzymes is affected. The authors are unable to demonstrate that virulence can be rescued by supplementation of AF inoculated eyes with glucose leaving them to speculate as to the cause of the lack of virulence in the hacA null mutant.

**********

Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: 1. The sterilization of the mutant within 72 contrasts the attenuated virulence of this mutant in a model of invasive pulmonary aspergillosis, suggesting an important tissue-specific virulence defect. However, an alternate explanation is that the difference is due to variations in the genetic background of the fungus and/or the use of more recent technology for gene deletion (the IPA study was published in 2009). An experiment showing that the newer mutant developed in this study can still cause disease in a pulmonary model would clearly demonstrate that UPR support of corneal infection is context-specific and would strengthen the manuscript.

2. Another explanation for the inability of the mutant to infect the cornea is that it is hypersensitive to antimicrobial compounds in tear film (for example, the hacA mutant in Alternaria is hypersensitive to plant antimicrobial compounds). Does the hacA mutant show hypersensitivity to any of the major antimicrobial compounds found in tear film?

3. Line 353. “to our knowledge, there has been no direct assessment of whether any fungal pathogen activates the UPR in host tissue”. This should be corrected since activation of the UPR in vivo has been shown at least for cib1 (hacA homolog) in Ustilago Maydis (Plant cell 2010, mBio 2019). Since hacA is not induced in the cornea, this would support a model in which the impact of the UPR on virulence is tissue-specific, which is interesting and has important implication for future therapies that target the pathway.

Reviewer #2: . Some of the major concerns are listed below:

1. The primary inferences in the manuscript are based on the RNA data as investigated by transcriptomics or RT-PCR, or qRT-PCR. However, transcriptomic studies only provide a snapshot of RNA levels at a given time point. Thus, mRNA dynamics may not correlate with protein levels.

2. Authors argue that bUPR and iUPR may represent two ends of the UPR spectrum, and their corneal model is a source of sub-acute ER stress. This was not shown with changes in Hac-induced levels that were similar to basal levels. This was inferred based on changes in the transcriptome, which suffers from the argument in point 1.

3. Authors have mainly argued hacA-induced levels as the sub-acute level of ER stress. However, they fail to discuss the hacA independent role(s) of sensor ireA (PMID 22028661). How does basal and/or subacute ER stress (if it exists) regulate ireA and hacA independent functions?

4. Also, there is a direct link between the calcineurin pathway and ER stress response in baker’s yeast. How calcineurin and other known pathways of ER stress play a role are not mentioned/discussed.

5. Another major argument is the increased expression of major collagenase genes (Fig1b). How is that related to virulence? A �prtT mutant deficient in the secretion of these major proteases showed ex vivo defects but was indispensable for virulence. If the changes in the secretory pathway induce ER stress that is essential for infection and if these major proteases are involved in infection, authors should discuss the prtT data (PMID 19564385). Additionally, as glucose supplementation did not change corneal infection, the role of Er stress-dependent protease expression is not clearly defined.

6. As the authors discussed the multifactorial role(s) of hacA in nutrient stress, secondary metabolism, and other growth features (cell wall homeostasis), authors need to take into account that hacA mutant showed 50% mortality compared to the control. Thus, their aim of finding inhibitors that can be used to treat both IPA and FK still needs more work. As these survival/mortality analyses differ with the immune suppression, the major secondary metabolite gliotoxin might be playing a role; however, the authors fail to discuss the role(s) of immune suppression.

7. Authors should be careful in drafting the manuscript. Line 421, “Pearlman paper,” should be properly cited.

Reviewer #3: While the experimental work seems to be robust and does generally support the hypothesis I have a number of significant issues with the overall narrative.

Ultimately the information as presented is very confusing. Several things contribute to this:

1. Some titles are contrary to the data presented e.g. Transcriptomics supports distinct roles for the UPR under acute ER and nutritional stress. In this section the transcriptomic data does not seem to support any major role for the UPR in ‘nutritional stress’. Although I do accept there is a role for UPR during growth in nutritional stress (as there is for growth per se)– the requirement for hacA on proteinaceous media is not presented until much later in the manuscript.

2. Line 239 states that secretion of collagenases was impaired in the mutant – at that point in the manuscript the authors had not established that loss of hacA was not involved in transcriptional regulation of these enzymes – and hence a conclusion could be drawn that production (not just secretion) of collagenases was affected.

3. The link between the requirement for protease activity and investigation of the UPR is not well made following the first results section.

A few other critical issues with the ms:

1. Table 1: the legend lacks any meaningful description of the data presented. Also Exact p-values are presented: Given the dataset presented it is more appropriate to present corrected p-values (Benjamini-Hochberg) to account for false discovery. I suspect that this will remove protein folding as a hit from the DTT data however it is sufficient just to state the specific genes affected in this group to show impact on protein folding.

2. The supplementation of nutrients in the animal infection model with glucose does not account for the fact that Af is probably using the proteinaceous component of the cornea as a nitrogen source. This should be addressed.

Overall I feel the narrative and logical flow of the manuscript needs addressing. This will require reordering of the data presented and highlighting the critical points of the work more clearly.

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: • For the nutritional experiments, was the medium solidified with agar or agarose (this should be mentioned in the methods)? Agar provides trace nutrients that can confound nutritional experiments. This is not a major point, since there is a clear difference with the mutant regardless, but the authors may see a bigger difference if agarose is used.

• Line 20 – ‘completely’ is redundant with ‘unable’

• Line 163 – consider adding language to explain the difference between in vivo and in vitro baseline. i.e. “…beyond baseline, defined as in vitro conditions where the medium supplies reduced sources of carbon and nitrogen that do not require breakdown by secreted fungal hydrolases”.

• Line 263. Fig. 1 should be Fig. 3

• Line 421. Missing reference (Pearlman paper)

• Since many outside the field are not familiar with this model, I think it would be worthwhile to clarify early in the manuscript that the model creates an epithelial breach to allow the fungus to colonize the collagen-rich environment of the corneal stroma. I also think it would be worth emphasizing that the cornea is a unique environment relative to the lung, particularly in the context of vascularization and immune-privilege (which could account for why the findings for this mutant differ between cornea and lung).

Reviewer #2: Please superscript the divalent metal cations. The degree sign seems to be a superscript "O" and not the degree symbol.

Reviewer #3: Some minor issues

1. Here seems to be some inappropriate self-citation on line 224 – Lightfoot and Fuller seems to refer to transformation of Fusarium solani.

2. The legend for figure 1 is not sufficiently detailed. Panel (B) – assume the transcripts have been normalised to B-tubulin and then compared to growth in standard culture conditions? Panel D include timepoints.

3. Figure 2 is not contributing anything to the paper – remove.

4. Figure 3 E- legend lacking detail.

5. The references are numbered at the end of the document but named in the ms- this made review difficult.

6. Figure title for 7 is not appropriate.

7. Line 421 – ‘Pearlman paper’ needs reference.

All figure legends should be checked carefully to ensure the data is correctly described.

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here on PLOS Biology: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Decision Letter 1

Alex Andrianopoulos, Robert A Cramer

14 Oct 2023

Dear Assistant Professor Fuller,

We are pleased to inform you that your manuscript 'The Aspergillus fumigatus UPR is variably activated across nutrient and host environments and is critical for the establishment of corneal infection.' has been provisionally accepted for publication in PLOS Pathogens.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

Robert A. Cramer

Academic Editor

PLOS Pathogens

Alex Andrianopoulos

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************************************************

Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: The authors have done a nice job of addressing the first critique, including the performance of additional experiments. These revisions have improved the overall manuscript.

**********

Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: None required

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: None identified

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Acceptance letter

Alex Andrianopoulos, Robert A Cramer

24 Oct 2023

Dear Assistant Professor Fuller,

We are delighted to inform you that your manuscript, "The Aspergillus fumigatus UPR is variably activated across nutrient and host environments and is critical for the establishment of corneal infection.," has been formally accepted for publication in PLOS Pathogens.

We have now passed your article onto the PLOS Production Department who will complete the rest of the pre-publication process. All authors will receive a confirmation email upon publication.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any scientific or type-setting errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Note: Proofs for Front Matter articles (Pearls, Reviews, Opinions, etc...) are generated on a different schedule and may not be made available as quickly.

Soon after your final files are uploaded, the early version of your manuscript, if you opted to have an early version of your article, will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Genotypic validation and additional phenotypes of the Af293 ΔhacA mutant.

    (A) An overview of the hacA deletion strategy using in vitro assembled Cas9 RNPs confirmed by PCR of genomic DNA, (B) 72 h colony diameters of the indicated strains on YPD, GMM with ammonium tartrate as the nitrogen source (GMM-AT), GMM with BSA as the nitrogen source (GMM-BSA), or gelatin minimal medium. Data represented as mean of triplicate samples analyzed by two-way ANOVA **** <0.0001, (C) Colonial appearance of the indicated strains following growth on varying concentrations of brefeldin A (BFA) for 35°C for 48 h.

    (TIF)

    S2 Fig. IreA is essential for the growth of A. fumigatus (Af293).

    (A) Schematic representation of hacA and ireA promoter replacement with the Tet-Off cassette tagged with the phleomycin resistance gene (bleR), (B) PCR strategy and genotyping of the generated Ptetoff-hacA and Ptetoff-ireA strains, (C) Colonial appearance of the indicated strains grown with or withouth 80 μg/mL doxycycline. Photographs taken following transfer of hyphal plugs onto the media and incubating at 35°C for 72 h.

    (TIF)

    S3 Fig. A. fumigatus ΔhacA is avirulent in the cornea of both male and female C57BL/6J mice.

    (A) Representative slit-lamp images of infected murine corneas at 24, 48 and 72 h p.i. (B) 72 h clinical disease scores of pooled male and female animals; data analyzed by Ordinary one-way ANOVA **** <0.0001. (C) 72 h corneal thickness measurements based on OCT and measuring 13 points across cornea; (n = 10/group, analyzed by Ordinary one-way ANOVA p-value **** <0.0001. (D) Fungal burden at 72 h p.i. as determined by colony forming unit (CFU) analysis from corneal homogenates; data analyzed by Ordinary one-way ANOVA p-value **** <0.0001; ** 0.0012. (E) Representative PASH stained corneal corneal sections at 72 h p.i. (F) The same 72 h clinical disease scores in panel B with male and female animals separated. (G) The same 72 h corneal thickness measurements in panel C, with male and female animals separated.

    (TIF)

    S4 Fig. Genotypic validation and collagenase activity of the protease-deficient mutants.

    (A) Genomic PCR demonstrating replacement of the prtT coding sequence with the bleR cassette. (B) Genotypic analysis of the ΔxprG1ΔxprG2, ΔxprG2, and ΔprtTΔxprG1ΔxprG2 mutants using a multiple PCR scheme. (C) Collagenase activity of cultured supernatants following 72 h incubation at 35°C in GMM-FBS; data are depicted as raw absorbances at 520 nm following azocoll degradation and represent the mean of triplicate samples analyzed by Ordinary one-way ANOVA * p-value <0.0001 compared to the negative control. (D) Amino Acid sequence alignment for xprG1 (Afu8g04050) and xprG2 (Afu1g00580) using a Smith-Waterman local alignment on SnapGene v7.0.2. The alignment shows NDT80 DNA binding domain (amino acid residues 86–290) in XprG1 (green) and the putatively non-functional NDT80 (missing amino acid residues 235–270) domain of XprG2 sequence (red).

    (TIF)

    S5 Fig. Analysis of ΔhacA sensitivity to various stresses.

    (A) Dry weight of Af293 WT and ΔhacA grown in liquid GMM with and without 2 μM H2O2 for 72 h at 35°C; data represent the mean of triplicate samples analyzed by unpaired T-test. (B) Conidia of WT and ΔhacA were spotted on GMM containing a concentration gradient of H2O2. Photographs taken after 72 h incubation at 35°C. (C) Dry weight of Af293 WT and ΔhacA grown in liquid GMM with and without 60 μM menadione for 72 h at 35°C; data represent the mean of triplicate samples analyzed by unpaired T-test. (D) Photographs taken of the indicated strains following growth on GMM and gelatin MM at 35°C for 72 h in normoxia or hypoxia (1% O2). The ΔhacA mutant is developmentally delayed on gelatin, but its mycelial growth is indistinguishable in normoxia and hypoxia. (E) 24–72 h growth rate measurement on YPD plates with 200 μM of the iron chelator bathophenanthrolinedisulfonate (BPS). (F) Conidia of the indicated strains were spotted onto GMM a concentration gradient of BPS; photographs taken after 72 h incubation at 35°C. (G) Conidia of the indicated strains were spotted onto GMM a concentration gradient of Congo red; photographs taken after 72 h incubation at 35°C.

    (TIF)

    S1 Data. DEGs and enriched terms for WT-GMM vs WT-DTT.

    (XLSX)

    S2 Data. DEGs and enriched terms for WT-GMM vs WT-Gel MM.

    (XLSX)

    S3 Data. DEGS and enriched terms for WT vs ΔhacA (GMM).

    (XLSX)

    S4 Data. DEGS and enriched terms for WT vs ΔhacA (Gel MM).

    (XLSX)

    S5 Data. DEGS and enriched terms for WT vs ΔhacA (DTT).

    (XLSX)

    S6 Data. Common ΔhacA DEGs across all three conditions (GMM, Gel MM, DTT).

    (XLSX)

    S7 Data. Unique ΔhacA DEGs for each of the three conditions (GMM, Gel MM, DTT).

    (XLSX)

    S1 Table. Strains and plasmids used in the study.

    (XLSX)

    S2 Table. Primers and CRISPR RNAs used in this study.

    (XLSX)

    Attachment

    Submitted filename: Response to reviewer comments.docx

    Data Availability Statement

    All relevant data are available within the manuscript and its supporting information files.


    Articles from PLOS Pathogens are provided here courtesy of PLOS

    RESOURCES