Skip to main content
Advertisement
  • Loading metrics

Nickel tolerance is channeled through C-4 methyl sterol oxidase Erg25 in the sterol biosynthesis pathway

  • Amber R. Matha,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Microbiology, University of Georgia, Athens, Georgia, United States of America

  • Xiaofeng Xie,

    Roles Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Department of Microbiology, University of Georgia, Athens, Georgia, United States of America

  • Robert J. Maier,

    Roles Conceptualization, Writing – review & editing

    Affiliation Department of Microbiology, University of Georgia, Athens, Georgia, United States of America

  • Xiaorong Lin

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing – review & editing

    xiaorong.lin@uga.edu

    Affiliation Department of Microbiology, University of Georgia, Athens, Georgia, United States of America

Abstract

Nickel (Ni) is an abundant element on Earth and it can be toxic to all forms of life. Unlike our knowledge of other metals, little is known about the biochemical response to Ni overload. Previous studies in mammals have shown that Ni induces various physiological changes including redox stress, hypoxic responses, as well as cancer progression pathways. However, the primary cellular targets of nickel toxicity are unknown. Here, we used the environmental fungus Cryptococcus neoformans as a model organism to elucidate the cellular response to exogenous Ni. We discovered that Ni causes alterations in ergosterol (the fungal equivalent of mammalian cholesterol) and lipid biosynthesis, and that the Sterol Regulatory Element-Binding transcription factor Sre1 is required for Ni tolerance. Interestingly, overexpression of the C-4 methyl sterol oxidase gene ERG25, but not other genes in the ergosterol biosynthesis pathway tested, increases Ni tolerance in both the wild type and the sre1Δ mutant. Overexpression of ERG25 with mutations in the predicted binding pocket to a metal cation cofactor sensitizes Cryptococcus to nickel and abolishes its ability to rescue the Ni-induced growth defect of sre1Δ. As overexpression of a known nickel-binding protein Ure7 or Erg3 with a metal binding pocket similar to Erg25 does not impact on nickel tolerance, Erg25 does not appear to simply act as a nickel sink. Furthermore, nickel induces more profound and specific transcriptome changes in ergosterol biosynthetic genes compared to hypoxia. We conclude that Ni targets the sterol biosynthesis pathway primarily through Erg25 in fungi. Similar to the observation in C. neoformans, Ni exposure reduces sterols in human A549 lung epithelial cells, indicating that nickel toxicity on sterol biosynthesis is conserved.

Author summary

Nickel is commonly known as an allergen and toxin for humans, but the way in which nickel causes adverse effects is unknown. We sought to use C. neoformans as a model to investigate the primary targets of nickel and how cells tolerate this commonly occurring metal. We found that in both mammalian cells and fungal cells, exposure to nickel causes sterol deficiency. We discovered that Erg25, an essential enzyme key to the production of ergosterol (fungal equivalent of cholesterol), was critical for cryptococcal cells to tolerate nickel. Cells unable to increase production of this enzyme in response to nickel exposure, such as the sre1Δ mutant with the Sterol Regulatory Element-Binding regulator disrupted, were incapable of growing in the presence of nickel. Therefore, it appears that both cells react to nickel through upregulating a conserved biochemical pathway and particularly the Erg25 enzyme. This work could guide future investigations into novel approaches to manage nickel toxicity.

Introduction

Ni is an abundant natural element ubiquitously found in soil and through industrial pollution [1,2]. The concentrations of this metal vary widely in different environments and organisms cope in various ways [2]. Unlike metals such as copper (Cu) or iron (Fe), no mammalian enzymes require Ni as a cofactor [3]. Indeed, Ni is generally characterized as a toxic heavy metal for humans. Exposure to Ni primarily occurs by inhalation or ingestion but also through interaction with everyday items that contain Ni, such as jewelry, zippers, paper clips, and stainless steel dining flatware [4]. Additionally, corrosion of Ni-containing implants used in joint and hip prostheses may lead to elevated Ni levels in the body [5]. Occupational exposure to nickel is the highest for those involved in producing, processing, and using nickel [6]. A National Occupational Exposure Survey conducted by the NIOSH agency from 1981 to 1983 estimated that 727,240 workers in the US were exposed to toxic levels of Ni (NIOSH 1990).

It is hypothesized that Ni is toxic to mammalian cells due to its ability to catalyze Fenton chemistry, which culminates in oxidative stress to the cells [7,8], including lipid peroxidation [911]. Ni is also capable of inducing calcium signaling pathways and activating HIF1-α [12,13], which plays a central role in the progression of some cancers [14]. HIF1-α is typically activated when cells experience hypoxia in the tumor microenvironment. This activation causes transcriptional increases in genes associated with angiogenesis, growth factors, pH regulation, and apoptosis [15]. Thus, Ni has been characterized as a carcinogen in mammalian systems. Additionally, Ni has been shown to induce a disturbance in testosterone synthesis [16]. The main therapy to mitigate Ni toxicity is administration of antioxidants, such as glutathione, which reduces lipid peroxidation in human lymphocytes [17]. Because of the pleiotropic effects of Ni on cell structures and metabolism, it is difficult to define the primary mechanism of nickel toxicity.

Despite the fact that Ni is abundant in the environment, little research has been done to identify how environmental microbes tolerate this metal. Cryptococcus neoformans, a ubiquitous environmental fungus, is a model organism for studying fungal cellular biology due to the abundance of tools available to study and manipulate the fungus [1821]. C. neoformans has been used as a model to better understand cellular mechanisms conserved in mammals such as uniparental mitochondrial inheritance [22,23], meiosis [2427], epigenetic regulation [28,29], and intercellular communication [30,31]. Here, we chose this fungus to investigate the molecular mechanism for Ni tolerance. In C. neoformans, urease is the only known protein that requires Ni for its function, although there are nine known Ni-dependent enzymes in other microbes [32]. Despite the fact that the role of urease in cryptococcal pathogenesis is well defined [3336], its role in nickel tolerance is unknown.

Given that animals and fungi are closely related in the eukaryotic domain, understanding the effect of nickel on fungi and how fungi tolerate Ni could be informative. This study aims to identify pathways and factors critical for cryptococcal tolerance to Ni. We found that Ni exposure reduces ergosterol levels and altered lipid profiles in C. neoformans. We screened the transcription factor deletion set and identified Sre1 as an essential factor for cryptococcal growth on Ni-supplemented medium. Sre1 is highly conserved across Eukarya, and it is known to regulate the ergosterol biosynthesis pathway (EBP) in response to hypoxia and hypoxia-mimicking conditions [3741]. We found that nickel, in contrast to hypoxia that exerts a broad impact on cryptococcal transcriptome, more narrowly but profoundly alters expression of EBP genes. Erg25, a conserved C-4 methyl sterol oxidase, but not other Erg enzymes in the sterol biosynthetic pathway or the known nickel-binding protein Ure7, is specifically required for cryptococcal tolerance to Ni. Increasing the levels of the C-4 methyl sterol oxidase effectively mitigates Ni toxicity, suggesting that Erg25 is a primary target of Ni toxicity. We further demonstrated that exposure to Ni in mammalian cells also reduced the sterol levels, mimicking what we observed in the fungus. Thus, nickel might exert its toxicity effects by primarily targeting the conserved sterol biosynthetic pathway in both fungi and animals.

Results

Screening the transcription factor and kinase gene deletion libraries identified transcription factor Sre1 as required for cryptococcal tolerance of Ni

As a ubiquitous environmental fungus often found in soil, C. neoformans is subjected to exogenous Ni. Here we first determined the Ni tolerance level of the wildtype H99 cells and found that Ni concentrations beyond 250μM impaired growth of H99 (S1A Fig). As the only known C. neoformans enzyme that requires Ni is urease, we tested if urease plays a role in nickel tolerance. Nic1 imports Ni from the environment and Ure7 likely binds and delivers Ni to the apourease, Ure1 [35]. As expected, all three mutants, ure1Δ, ure7Δ, and nic1Δ, had abolished urease activity as indicated on Christensen Urea Agar (CUA) (S1B Fig). As urease activity was dependent on Ni, addition of Ni chelator dimethylglyoxime (DMG) [42] abolished urease activity in H99 cells (S1C and S1D Fig). However, we found neither ure1Δ nor ure7Δ were hypersensitive to exogenously added Ni (S1E Fig), indicating that urease is not involved in Ni tolerance in C. neoformans.

To identify factors that contribute to Ni tolerance, we screened the C. neoformans kinase [43] and transcription factor [44] deletion library collections (representing 155 and 129 genes, respectively) to identify mutants sensitive to Ni at 250 μM. We found the sre1Δ mutant was the only strain hypersensitive to Ni (Fig 1A).

thumbnail
Fig 1. sre1Δ growth defect is specific to Ni.

(A) Serial dilutions of H99, sre1Δ, stp1Δ, and scp1Δ cells were spotted onto RPMI agar ± 250 μM NiSO4 (Ni). (B) Diagram of the activation process for Sre1. In response to a stimulus (e.g. drop of the ergosterol level in membrane in response to hypoxia), the full-length Sre1 residing in the ER membrane will be shuttled to the Golgi. Here, the protease Stp1 cleaves Sre1. The released N-Sre1 then translocates to the nucleus and binds the sterol regulatory element (SRE) in promoter regions of downstream targets to initiate transcription. (C) Cells constitutively expressing Flag-Sre1 were grown on RPMI (R), RPMI+ 250 μM Ni (N), and RPMI+ 4μg/mL Fluconazole (F). Whole-cell extracts were prepared and immunoblot analysis was done using anti-Flag purified antibody. The black and grey arrowheads denote the full-length and cleaved forms of Sre1, respectively. Coomassie staining indicates the loading. (D) Growth of H99 and sre1Δ on RPMI with the indicated metals: CuSO4 (Cu), ZnCl2 (Zn), and FeSO4 (Fe) at 250 μM with or without addition of 250 μM Ni. (E) ICP-MS quantification of Ni concentrations in H99, sre1Δ, nic1Δ, cir1Δ, and mac1Δ cells grown on RPMI (C), RPMI+Ni (N), or RPMI+DMG (D). The same dry weight of cells was used for the analysis. Student’s t-test was done to test for statistical significance. n.s. not significant * = ≤0.05, ** = ≤0.01, *** = ≤0.001.

https://doi.org/10.1371/journal.pgen.1011413.g001

Sre1, or Sterol Regulatory Element Binding Protein (SREBP) as it is known in animals, is a transcription factor well known to regulate the sterol biosynthetic pathway in response to several stimuli including hypoxia [37,45]. Sre1 exists in an inactive state as a full-length protein on the endoplasmic reticulum in coordination with the anchor protein Scp1. Upon various stimuli (hypoxia or low levels of ergosterol), this complex is trafficked to the Golgi where the protease Stp1 cleaves the N-terminus of Sre1. Once cleaved, the Sre1 N-terminus (N-Sre1) translocates to the nucleus to induce transcription of downstream target genes (Fig 1B, [38]). Indeed, all the deletion mutants of the Sre1 pathway components, namely scp1Δ and stp1Δ, were also hypersensitive to Ni (Fig 1A). Expression of the N-terminus portion of Sre1 in the stp1Δ background partially restored its growth on Ni (Fig 1A), consistent with the idea that activation of Sre1 is required for nickel tolerance. To confirm that Ni activates Sre1, we constructed a Sre1 allele with a FLAG tag at its N-terminus and expressed this construct in the wild type. When cultured on RPMI, only the full length Sre1 protein was detected (Fig 1C). However, when the strain was grown on RPMI media containing 250μM Ni (N) or 4μg/mL Fluconazole (F), a lower band at 75kDa consistent with the cleaved N-Sre1 became visible in addition to the full length band [39] (Fig 1C). Thus, nickel, like fluconazole, activates the cleavage of Sre1. Collectively, these results demonstrate that activated Sre1 is critical for C. neoformans to tolerate Ni.

We hypothesized that Ni may outcompete other important metal cofactors (e.g., copper, iron, or zinc) in the sre1Δ mutant, rendering the strain unable to grow in the presence of Ni. Typically, enzymes utilize specific metal cofactors for their activity and strict homeostasis mechanisms ensure correct metalation of proteins. When metal homeostasis becomes imbalanced, mis-metalation can occur, inhibiting protein function [46]. However, the addition of iron (Fe), copper (Cu), or zinc (Zn) to the Ni medium failed to rescue the growth defect of the sre1Δ mutant (Fig 1D). Mutants defective in iron and copper-specific regulators Cir1 [47] and Mac1 (also known as Cuf1) [48] did not show any growth defect in Ni-supplemented medium (S2A Fig), indicating that Sre1 plays a specific role in regulating cryptococcal tolerance to Ni.

We considered the possibility that poor growth of sre1Δ on Ni could indicate toxicity caused by accumulation of excessive intracellular Ni. To test this possibility, we analyzed the cellular Ni concentrations in wildtype (WT) H99, the sre1Δ, the cir1Δ, and the mac1Δ strains grown on RPMI, RPMI+Ni, or RPMI+DMG (Ni chelator) by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) using a previously established method [49]. We also included a known Ni transporter mutant, nic1Δ [35]. The level of Ni associated with sre1Δ cells was comparable to WT when cells were cultured in Ni-supplemented medium (Fig 1E). By contrast, nic1Δ, cir1Δ and mac1Δ showed altered cellular accumulation of Ni (Fig 1E), with nic1Δ and mac1Δ accumulating 1.7 and 2.4 times more Ni than the wild type, respectively. Surprisingly, the sre1Δ mutant accumulated significantly more Cu and Zn than WT when cultured on Ni-supplemented medium (S2B Fig). However, the sre1Δ mutant was not hypersensitive to either copper or zinc (Fig 1D). The increased amount of Ni in nic1Δ cells is surprising but consistent with previous findings suggesting that Nic1 is not the only transporter of Ni [35]. Given that increased accumulation of Ni in nic1Δ and mac1Δ did not cause growth defect on media with Ni and that the sre1Δ mutant did not accumulate more Ni than the wild type, these results indicate that the growth defect of the sre1Δ mutant is not due to the over-accumulation of intracellular Ni.

Ni causes up-regulation of ergosterol biosynthesis pathway (EBP) genes

Addition of copper and iron cause dramatic changes to cryptococcal transcriptome [50, 51]. To investigate the transcriptomic response to Ni exposure and the role of Sre1, we conducted a comparative transcriptome analysis by RNA deep sequencing (RNA-seq). Wildtype and sre1Δ cells were grown on RPMI plates with or without supplementation of Ni (0.25mM) or DMG (4mM) at 37°C. RPMI was chosen as growth medium since it is a defined medium and commonly used for testing antifungal or stress susceptibility. The cells were cultured for eight hours prior to RNA extraction and sequencing.

We found 87 genes in H99 were upregulated and 71 genes downregulated on Ni versus the RPMI control (S1 Table). Here we consider genes showing at least a 2-fold change (|log2 (Fold Change)|≥ 1) in transcript level differentially expressed genes (DEGs). Six of the 87 upregulated genes were EBP genes (namely ERG10, ERG8, ERG25, ERG6, ERG2, ERG4: red spots outside of the shaded area in Fig 2A) and SRE1 was also significantly upregulated on Ni (log2(Fold Change) = 1.05). Ten additional EBP genes were considered modestly upregulated, with log2(Fold Change) values between 0.3 and 0.99 (red spots within the shaded area in Fig 2A and 2B). The six highly upregulated EBP DEGs were spread throughout the pathway, with two occurring in the mevalonate pathway and four in the late pathway (Fig 2C). Interestingly, although Ni was able to upregulate ergosterol biosynthesis genes, DMG did not cause any significant downregulation of these genes (S2 Table). We also noted that addition of Ni did not change the transcript levels of URE1 and URE7.

thumbnail
Fig 2. Ni causes increased expression of multiple genes in the ergosterol biosynthesis pathway.

(A) Volcano plot of transcript changes of H99 growing on RPMI+Ni versus RPMI based on RNA-seq data. The red dots indicate EBP genes present in the data set. (B) Log2(Fold Change) of EBP gene expression when grown on Ni. Differentially expressed genes are genes with a Log2(Fold Change) value greater than 1, indicated by the dashed line. (C) Abbreviated ergosterol biosynthesis pathway. EBP genes differentially expressed on Ni were labeled in blue. (D) Volcano plot of transcript changes of H99 growing on RPMI+hypoxia versus RPMI+normoxia based on RNA-seq data. The red dots indicate EBP genes present in the data set. (E) Log2(Fold Change) of EBP genes expression in hypoxia conditions.

https://doi.org/10.1371/journal.pgen.1011413.g002

Given that Sre1 is known to regulate transcription of EBP genes, the impact of Ni on transcription of these genes might be largely due to the response of Sre1 to this metal. To assess this hypothesis, we examined the transcriptome of sre1Δ grown on Ni and in hypoxia conditions. When compared to the wild type grown on Ni, there were 12 negative DEGs that belonged to the EBP pathway (S4 Table and S3A Fig). 20 EBP genes showed statistically significantly altered expression although some did not reach the 2-fold cutoff. In comparison, hypoxia had a more limited impact on EBP gene expression in the sre1Δ mutant compared to the wild type (S5 Table and S3B Fig). Only four EBP genes (ERG2, ERG5, ERG25, and ERG3) were differentially expressed. Seven EBP genes showed altered gene expression. Thus, Ni exacerbates the reduced transcription of EBP genes in the sre1Δ.

Sre1 is also known to regulate the expression of Fe homeostasis genes [37]. Interestingly, Fe-starvation-related genes were overrepresented in the downregulated DEGs on Ni in wildtype cells. This is in contrast to EBP genes, which were upregulated in response to Ni. The most downregulated gene is an iron-starvation-responsive mannoprotein, CIG1 [52]. Two oxidoreductases, FRE7 and CNAG_02839, and two siderophore transporters, STR1 and SIT2, were among the 20 most downregulated genes (S1 Table). All of these genes were significantly upregulated in cells grown on DMG-supplemented medium (S2 Table). Interestingly, addition of Ni to the RPMI medium decreased intracellular iron content in wild type but increased iron level in sre1Δ cells based on our ICP-MS data (S4A Fig). We speculated that Ni supplementation might have caused the sre1Δ cells to mistakenly sense that they were in an iron excess environment and that downregulation of iron-limitation response genes might have contributed to the hyper-sensitivity of sre1Δ to Ni. However, the observation that adding iron to the Ni supplemented medium did not restore growth of the sre1Δ mutant (Fig 1D) and that neither deletion nor overexpression of CIG1 had any effect on the susceptibility of sre1Δ to Ni (S4B Fig) suggest that the ability to respond to intracellular Fe may not be the driving force behind the Ni sensitivity of sre1Δ.

As Sre1 is critical for hypoxia growth [53], and other divalent cations such as cobalt chloride (CoCl2) have been characterized as hypoxia-mimicking agents [39,54], it is possible that Ni has a similar hypoxia-mimicking effect on C. neoformans. We found that CoCl2 is highly toxic to Cryptococcus as both the wildtype and the sre1Δ cells were unable to tolerate 250μM CoCl2 in RPMI media (S5A Fig). By contrast, wildtype cells grew readily on RPMI supplemented with Ni at the same concentration. Another transcription factor, Pas2, is important for remodeling cellular metabolism in response to hypoxia [53]. Deletion of this gene renders cells sensitive to hypoxia and CoCl2 stress [53]. We hypothesized that if Ni mimics hypoxia, then pas2Δ would be sensitive to Ni as well. Indeed, pas2Δ was slightly more sensitive to Ni than WT, but much more tolerant than the sre1Δ mutant (S5B Fig). This is consistent with previous findings in which pas2Δ is less sensitive to hypoxia than is sre1Δ. In all, this data suggests that Ni and hypoxia have some shared effects on cryptococcal cells.

To further compare cryptococcal response to hypoxia and Ni, we performed comparative analyses of RNA-seq data between cells exposed to hypoxia and cells exposed to normoxia. Under hypoxia conditions (0.1% O2, 5% CO2, 37°C), we found 167 upregulated DEGs and 434 downregulated DEGs (S3 Table), showing that hypoxia has a broader effect on gene expression than Ni. Despite the larger number of DEGs, hypoxia resulted in only one EBP gene, ERG25, being an DEG with more than a 2-fold change in transcript level (Fig 3D and 3E). The data indicates that Ni, relative to hypoxia, has a more narrow but profound impact specifically on the EBP. We also examined genes that were shared between wildtype cells grown exposed to Ni and wildtype cells exposed to hypoxia (S6 Table). We discovered that only 8 genes were upregulated and 28 genes were downregulated DEGs in both conditions (S3C Fig). Thus, Ni and hypoxia have distinct effects on cryptococcal transcriptome.

Overexpression of ERG25, but not other four ERG genes tested, confers Ni tolerance

Sre1 is known to regulate ergosterol biosynthesis, and our RNA-seq data showed that Ni causes an upregulation of multiple EBP genes. We postulated that ergosterol deficiency due to the SRE1 deletion may have contributed to sre1Δ Ni hypersensitivity. If this is true, then perturbations of the EBP pathway may also alter cryptococcal tolerance to Ni. So, we tested the deletion mutants of the non-essential ERG3 and ERG4 genes. Previous studies have shown that mutation of these genes perturbs ergosterol biosynthesis. For example, deletion of ERG3 causes increased resistance to azoles (target Erg11) and Amphotericin B (bind to ergosterol) in C. neoformans and in Candida species [5557]. Deletion of ERG4 causes an increased sensitivity to caspofungin that targets β1–3 glucan synthase in the membrane [58]. erg3Δ and erg4Δ mutants grew like the wild type on RPMI+Ni (S6 Fig). Thus, it appears that perturbation of the EBP pathway in general does not alter cryptococcal tolerance to Ni.

To further interrogate our hypothesis, we decided to examine the impact of overexpression of ERG genes on Ni tolerance. We chose to overexpress ERG genes because most ERG genes are essential and cannot be deleted. Overexpression of ERG genes has been adopted as an effective approach to study the EBP pathway in S. cerevisiae [59]. To that end, we selected and overexpressed five EBP genes −ERG2, ERG11, ERG25, ERG26, and ERG27 − in the wildtype and the sre1Δ backgrounds. To determine if these overexpressed ERG genes are functional, we first tested the susceptibility of these ERG gene overexpression strains in H99 background to fluconazole [60]. Fluconazole is an antifungal drug that inhibits Erg11, causing a reduction of ergosterol and a buildup of methylated sterols, collectively disrupting membrane stability [61]. We found that overexpression of any of the five EBP genes enhanced resistance to fluconazole, albeit at varied degrees (Fig 3A). As expected, overexpression of ERG11, the direct target of azole drugs, offered the highest level of resistance to fluconazole relative to the other ERG genes (Fig 3A). This result indicates that the overexpressed ERG genes are functional. However, when introduced to the sre1Δ mutant, none of the ERG overexpression was able to restore tolerance to fluconazole, with ERG11 being the only exception (Fig 3B). This result reaffirms that Erg11 is the direct target of fluconazole and that overexpression of ERG11 confers resistance to fluconazole regardless of the strain background.

thumbnail
Fig 3. Overexpression of ERG25, but not other ERG genes tested, drastically increases Ni tolerance in both wild type and sre1Δ.

(A) H99 strains with overexpression of the indicated ERG genes (ERG2, 11, 25, 26, and 27) were serially diluted and plated on RPMI plates with fluconazole (Flu) at 4 or 8 μg/ml. (B) The sre1Δ strains with overexpression of the indicated ERG genes (ERG2, 11, 25, 26, and 27) were serially diluted and plated on RPMI plates with Flu at the indicated concentrations. (C) The same strains as in Panel A were spotted onto RPMI media with the indicated concentrations of Ni. (D) The same strains as in Panel B were spotted onto RPMI media with the indicated concentrations of Ni. All plates were incubated for two days prior to imaging.

https://doi.org/10.1371/journal.pgen.1011413.g003

After confirmation that these overexpressed EBP genes are functional, we sought to determine the effect of overexpression of these EBP genes on Ni tolerance. In contrast to what we observed in fluconazole resistance, the ERG25OE strain in wildtype background was exceedingly tolerant of Ni. The ERG25OE strain grew much better than the wild type on RPMI+500μM Ni, a condition that all other strains, including WT, were unable to tolerate (Fig 3C). Overexpression of ERG25, a known direct target of Sre1 [39], conferred marked Ni tolerance to the sre1Δ mutant as well. The ERG25OE sre1Δ strain was much more tolerant to Ni than even the wildtype strain (Fig 3D). Interestingly, overexpression of any of the other ergosterol biosynthesis genes, including ERG11 and ERG2 that lie upstream and downstream of ERG25 respectively, did not confer Ni tolerance to either the wild type or the sre1Δ mutant. The overexpression of ERG26 and ERG27, which encode enzymes that complex with Erg25, did not impact Ni tolerance in either strain backgrounds. This suggests that Erg25 specifically, not the EBP in general, plays a major role in mediating cryptococcal tolerance to Ni.

As we noted previously, hypoxia and Ni elicit both shared and distinct transcriptome changes in Cryptococcus, with Ni eliciting more profound and specific changes in the EBP pathway. ERG25 is the shared gene upregulated by both stressors. A previous study identified ERG25 as a multicopy suppressor of scp1Δ and sre1Δ sensitivity on CoCl2, a known hypoxia-mimicking agent [39]. We found that overexpression of ERG25 conferred tolerance to CoCl2 in both wildtype and sre1Δ backgrounds (S7A and S7B Fig), in agreement with the previous study. Overexpression of other ERG genes tested failed to confer significant tolerance to CoCl2 in either the wildtype or the sre1Δ background. When the strains were grown in hypoxia conditions, we found that all overexpression strains in the wildtype background grew similarly to the control (S7C Fig). However, the overexpression of ERG25, ERG2, ERG11, and ERG26 all rescued the sre1Δ hypoxia growth defect albeit in varying degrees in that order (S7D Fig). The ERG25 overexpression best rescued sre1Δ growth in hypoxia, which could be attributable to the upregulation of ERG25 in the hypoxia condition that was indicated by our RNA-seq data (Fig 2D). The results support that upregulation of the EBP pathway genes generally enhances growth in hypoxia and confers resistance to fluconazole, but ERG25 is specifically required for cryptococcal tolerance to cobalt and Ni.

Ni alters the cellular lipid profile

Our results above demonstrate that Ni increases transcription of ergosterol genes and overexpression of ERG25 in particular increases cryptococcal tolerance of Ni. To examine if Ni indeed impacts ergosterol levels, we extracted cellular ergosterol from wildtype and sre1Δ cells cultured on RPMI medium with or without the addition of Ni, and quantified ergosterol levels by measuring the absorbance at 282nm [62]. We found that the ergosterol content in wild type was reduced by 10% when exposed to Ni (Fig 4A). As expected, the ergosterol level in sre1Δ cells was lower under the normal growth condition with 80% of that in wildtype cells, and exposure to Ni caused a further reduction to 65% of that in untreated H99 cells. When exposed to Ni, the resulting amount of ergosterol in sre1Δ cells was similar to that in H99 cells exposed to fluconazole (Fig 4A). Filipin staining of ergosterol present in the outer leaflet of plasma membrane [60,63,64] showed that Ni exposure caused a 50% reduction in plasma membrane ergosterol in H99 based on fluorescence intensity (Fig 4B and 4C), consistent with the lower ergosterol levels in the presence of nickel measured spectrophotometrically (Fig 4B and 4C). The fluorescence intensity of sre1Δ cells was 50% of the wildtype level. Ni exposure reduced the fluorescence intensity even further to about 16% of that in H99 cells grown on RPMI (Fig 4C). Although both measurements revealed the same trend, the stronger reduction caused by the SRE1 deletion or by Ni treatment measured by fluorescence intensity of filipin staining compared to spectrometry may be due to the fact that the extracts contain other lipids in addition to ergosterol or its intermediates.

thumbnail
Fig 4. Ni causes alteration of sterol profiles.

(A) Ergosterol was extracted from the indicated strains grown on RPMI (C), RPMI+250μM Ni (Ni), or RPMI+4μg/mL Flu (F). The extract was measured at 282nm. Student’s t-test was used to assess statistical significance. ** = ≤0.01, **** = ≤0.0001 (B) H99 and sre1Δ cells were grown overnight on RPMI or RPMI+250μM Ni plates. Cells were harvested and incubated for 45 minutes in 25μM filipin III at 21°C in the dark. Cells were imaged with a Zeiss Imager M2 microscope. Scale bar = 5μm. (C) Quantification of fluorescence intensities of cells prepared as in panel B. RPMI (R), RPMI+ 250μM Ni (N). Mann-Whitney test was used to assess statistical significance **** = ≤0.0001. (D) Equal dry weight of wildtype cells grown on RPMI media alone (-) or RPMI+Ni (+) media were used to extract membrane sterols from indicated strains. 5μL of ergosterol extract were spotted onto glass backed HPTLC Silica gel plates. The white arrow indicates free fatty acids band. The yellow arrow indicates the methyl sterol band. The bottom band indicates ergosterol. (E) Lipid extractions from the indicated strains were spotted onto a TLC plate. 5μL of ergosterol extract was spotted onto glass backed HPTLC Silica gel plates as in panel D.

https://doi.org/10.1371/journal.pgen.1011413.g004

Thin layer chromatography (TLC) analysis also revealed altered lipid profiles when cells were treated with Ni (Fig 4D). Based on previous literature using the same procedures for extraction and TLC [65], Ni causes an increase in the intensity of two of these bands, likely the methyl sterol (white arrow) and free fatty acid band (yellow arrow), and there is a slight decrease in the ergosterol band at the bottom (Fig 4D). Previous studies in yeast have shown that mutations that reduce the activity of ERG25 caused a similar increase in the intensity of the methyl sterol and free fatty acid bands [65]. This result corroborates our hypothesis that Ni primarily targets Erg25 in the EBP pathway. In agreement with other measurements, the TLC analysis also revealed that ergosterol level was reduced in the sre1Δ mutant. The thick ergosterol band was reduced compared to the wildtype strain when grown on RPMI medium, and this band was almost undetectable when the mutant was grown on RPMI with Ni (Fig 4E). The ERG25 overexpression strain still showed a decrease in ergosterol content when plated on Ni media (Fig 4D). However, when ERG25 was overexpressed in the sre1Δ background, an ergosterol band is still observable in contrast to the sre1Δ strain on Ni.

Two histidine residues in Erg25 metal binding motifs are important for Ni tolerance

The results presented earlier indicate that Erg25 is critical for Ni tolerance in C. neoformans. Erg25 contains four conserved metal binding motifs enriched in histidine (S8 Fig). According to AlphaFold, several histidine residues are predicted to associate in a histidine-rich pocket present in Erg25 [66,67]. These histidine residues are from three of the four metal binding motifs and are not simply histidine residues proximal to each other in the primary sequence. In these regions, pairs of His residues (H187 and H272) are predicted to interact via cation-pi interactions (Fig 5A). I-TASSER, a protein structure prediction software [6870], similarly predicts that these histidine residues are capable of interacting with a cation. We postulate that Ni binds to Erg25, and these His residues are critical for the function of Erg25.

thumbnail
Fig 5. Mutating histidine enriched pocket abolishes the ability of Erg25 to confer Ni tolerance.

(A) Alphafold generated images of histidine enriched pocket of Erg25. Predicted cation-pi interaction is indicated by an orange dashed line. (B) The indicated strains were serially diluted and spotted onto RPMI and RPMI+ 250μM Ni plates. The plates were incubated for 2 days before imaging. (C) Equal dry weight of cells was used to extract membrane sterols from indicated strains. 5μL of ergosterol extract were spotted onto glass backed HPTLC Silica gel plates. (D) Alphafold generated image of Erg3 histidine enriched pocket.

https://doi.org/10.1371/journal.pgen.1011413.g005

To test our hypothesis, we mutated histidine residues 187 and 272, and overexpressed the ERG25H187A H272A allele in both the wild type and the sre1Δ mutant. Although overexpression of the ERG25H187A H272A allele in wild type did not have any effect on growth on RPMI medium, it slightly reduced cryptococcal tolerance to Ni, in contrast to the much-enhanced Ni tolerance by the overexpression of the ERG25 allele (Fig 5B). Accordingly, the overexpression of the ERG25H187A H272A allele failed to rescue the growth defect of sre1Δ on Ni supplemented medium (Fig 5B). We speculate that mutations of these histidine residues prevented the binding of Erg25H187A H272A to Ni, which might have allowed Ni to bind to the native Erg25, compromising ergosterol biosynthesis. Moreover, nonfunctional Erg25H187A H272A may compete with the native Erg25 to complex with Erg26 and Erg27, further impairing the EBP pathway, rendering cells hypersensitive to Ni. Indeed, TLC analysis revealed that the ERG25H187A H272A overexpression strain had a larger reduction in ergosterol when exposed to Ni compared to the wild type (Fig 5D).

Overexpression of ERG3 or URE7 does not rescue sre1Δ growth on Ni

We hypothesize that either Erg25 enzymatic function is required for nickel tolerance or Erg25 acts as a nickel sink because of its metal binding pocket can bind to nickel efficiently. Deletion of SRE1 reduces Erg25 abundance and thus renders the fungus sensitive to nickel. Conversely, over-production of Erg25 confers Cryptococcus nickel resistance. However, these observations do not distinguish the two aforementioned hypotheses. To that end, we decided to overexpress another protein with a similar metal binding pocket. We expect that if the “nickel sink” hypothesis is true then overexpression of this protein would also confer nickel tolerance. Erg3 possesses similar conserved metal binding motifs as Erg25 (Fig 5D) [66,67]. ERG3 is not on our DEG list because its transcript level increase in response to Ni was below 2-fold (Fig 2B). However, we found that unlike ERG25, overexpression of ERG3 did not have any obvious impact on cryptococcal growth or Ni tolerance in either the wild type or the sre1Δ mutant (Fig 5B). Consistent with ERG3 being non-consequential in conferring Ni tolerance, TLC analysis revealed a similar trend noted above regarding lipid changes in response to Ni in both wild type and in sre1Δ with or without ERG3 overexpression. Therefore, Erg3 simply possessing a similar binding pocket to Erg25 is not sufficient for sre1Δ growth rescue on Ni.

We decided to test our hypotheses further with a known nickel-binding protein. Ure7 binds Ni as a chaperone protein during the activation of Ure1 [35]. Again, if the “nickel sink” hypothesis is true, we expect URE7 overexpression would allow for Ni tolerance of the sre1Δ mutant. We first confirmed that our overexpression construct indeed increased the URE7 transcript level in the wild type and we then deleted SRE1 in the URE7OE overexpression strain. We confirmed increased URE7 transcript level in both WT and sre1Δ background via RT-PCR (S9 Fig). The URE7 overexpression construct, once introduced into the ure7Δ mutant, was able to restore its urease activity assay based on CUA assay (Fig 6A), thus confirming that the overexpressed Ure7 is functional. Upon spotting strains onto RPMI media +/- 250μM Ni, we found that the URE7 overexpression failed to restore growth of the sre1Δ mutant on Ni (Fig 6B). In all, the findings indicate that in contrast to ERG25, overexpression of ERG3 or URE7 does not confer nickel tolerance. Thus, Erg25 is likely not acting simply as a Ni sink.

thumbnail
Fig 6. Overexpression of URE7 does not confer Ni tolerance to sre1Δ.

(A) H99, ure7Δ, and URE7 overexpression in both strain backgrounds with cell density OD600 = 3 were spotted onto CUA plates. The plates were incubated for three days and imaged. Urease activity is indicated by the yellow to pink color change. (B) The indicated strains were serially diluted and spotted onto RPMI and RPMI+ 250μM Ni plates. The plates were incubated for 2 days before imaging.

https://doi.org/10.1371/journal.pgen.1011413.g006

Ni reduces cholesterol in mammalian cells

Ni is known to affect lipid profiles in mammals. In humans and animals, exposure to Ni is associated with decreased serum cholesterol levels [71,72]. Given our finding about the impact of Ni on the sterol biosynthetic pathway in C. neoformans and the fact that the sterol biosynthetic pathway is highly conserved between fungi and humans/animals [73], we hypothesized that exposure of Ni will reduce cholesterol at the cellular level in mammals as well. Here, we cultured human epithelial A549 cells with or without addition of Ni at 10, 50 or 100 μM. We then stained the cells at 72 hours with filipin. The epithelial cells were able to grow desmosomes in all Ni concentrations tested (Fig 7A). We found that after passaging epithelial cells for 72 hours with 10, 50, or 100μM Ni, cells showed a 2.1, 4, or 5-fold reduction in filipin fluorescence intensity compared to unexposed cells (Fig 7A and 7B). This result suggests that Ni also reduces the amount of cholesterol in mammalian cells, similar to its ergosterol reduction effect in fungal cells. Whether Erg25 homolog Fet6 is also involved in nickel tolerance in mammals is yet to be tested.

thumbnail
Fig 7. Ni causes a decrease in membrane sterols in A549 lung epithelial cells.

(A) A549 lung epithelial cells were seeded into a 24-well glass bottom multi-well plate at 5x104 cells per well. Ni was added to the DMEM+FBS media to achieve the indicated concentrations and the cells were incubated at 37°C with 5% CO2 for 72 hours. After being washed with warm PBS, the cells were incubated with Filipin III for 45 minutes and imaged. Scale bar = 15μm. (B) Fluorescence intensity was calculated via Zen Pro software. Mann-Whitney test was used to determine statistical significance. * = ≤0.05.

https://doi.org/10.1371/journal.pgen.1011413.g007

Discussion

Ni at high concentrations is toxic to cells, prokaryotic or eukaryotic [2,74,75]. Some bacteria species utilize Ni for essential protein functions but mammals are not known to require nickel for enzymatic functions [7678]. Only one protein in C. neoformans (and in some other fungi), urease, is known to bind Ni. We have shown here that urease activity cannot occur when Ni is unavailable but urease is not required for the fungus to tolerate Ni. What mechanisms cryptococcal cells employ to regulate Ni homeostasis, particularly tolerance to Ni, remained unknown.

Ni has been shown to decrease plasma lipids; including total cholesterol, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol (LDL) in a general population captured by NHANES study [72]. Ni is also capable of causing lipid peroxidation [11]. In rats, Ni depletion has been shown to increase the amount of cholesterol and LDLs [79]. However, in chickens, Ni supplementation did not alter cholesterol content [80]. We found that Ni supplementation decreases ergosterol content in C. neoformans and cholesterol in A549 human lung epithelial cells. Via RNA-sequencing, we have also characterized the role of Ni as a specific stimulant of the EBP pathway in the fungus.

Strikingly, Erg25 is the most upregulated EBP in response to Ni from these experiments and the only ERG gene that confers remarkably tolerance to nickel when overexpressed. This is in contrast to tolerance of fluconazole, where overexpression of multiple ERG genes conferred resistance even though the direct target Erg11 was the most effective. Erg25 is known to complex with Erg26 and Erg27 [59,81], but the overexpression of ERG26 or ERG27 does not have any significant impact on Ni tolerance. The stoichiometry of Erg25, Erg26 and Erg27 protein levels in the cell is not 1:1:1. In the fission yeast Schizosaccharomyces pombe, cells contain approximately 41 ERG25, 6 ERG26, and 3 ERG27 RNA molecules per cell [82]. Erg25 in S. pombe was 2.5 times more abundant at the protein level than other complex members [83]. A similar phenomenon was observed in S. cerevisiae [84]. If Erg25 formed dimers or trimers, that may explain why the cell would produce Erg25 in such excess compared to other complex members. However, this has not been shown to be the case [81]. It is possible that Erg25 may perform a function outside of the studied complex that has not yet been revealed. Alternatively, Erg25 may control the rate limiting step and more Erg25 proteins are needed to produce the precursors used by the downstream enzymes. This is possible as the complex formation is likely more important for metabolic channeling rather than for specific enzymatic reactions carried out by these proteins per se, similar to subcellular compartmentalization of fungal secondary metabolism [85]. We suspect that Erg25 is able to serve as a chelator of Ni, and due to its abundance in the overexpression strains, still has sufficient level of the proteins to serve its function in the Erg25/Erg26/Erg27 complex in the sterol biosynthetic pathway in the presence of Ni. This ultimately allows the sre1Δ mutant to grow on Ni supplemented medium. Production of abundant Erg25H187A H272A could compete and thus compromise the activity of the native Erg25 protein, becoming a poison subunit in the complex. Its ill effect becomes apparent in the presence of Ni.

We argue that Erg25 does not simply act as a sink for intracellular Ni. The adverse effect of Ni on growth in sre1Δ is more likely attributable to its impact on Erg25’s specific function, which cannot be recapitulated by overexpression of another enzyme with the same or similar metal binding pocket. Consistent with this idea, overexpression of ERG3 is incapable of rescuing the growth of sre1Δ on Ni or conferring Ni tolerance to the wildtype cells despite the conserved histidine enriched region present in Erg3. That said, it is possible that this could be due to differences in protein structures that allow different levels of access to Ni ion. Ni-binding proteins are difficult to predict. Our screening of gene deletion mutants of genes that encode histidine enriched proteins did not identify any additional genes that are essential for Ni tolerance. We also used Ni-beads to try to identify proteins in C. neoformans that can bind Ni, and the only reliable nickel-binding protein pulled down in these assays was Ure7. The finding that overexpression of this known nickel-binding protein Ure7 does not rescue nickel sensitivity in the sre1Δ mutant further bolstered the conclusion that Erg25 is not acting simply as a nickel sink, but rather its function integrity is required for nickel tolerance.

In all, we have described that Ni impacts sterol profiles in C. neoformans and cells respond by upregulating the sterol biosynthesis pathway in order to tolerate this metal. Multiple lines of evidence support the idea that Ni specifically targets Erg25, analogous to how fluconazole targets Erg11. Furthermore, the reduction of sterols in the presence of Ni is conserved in both fungi and mammals. Whether Ni acts on the same targets in fungi and mammals for such an effect is unknown. The current findings could stimulate and guide future investigation of effective ways to mitigate or prevent nickel toxicity.

Materials and methods

Strains and growth conditions

C. neoformans strains used in this study are listed in S7 Table. Strains were stored at -8°C in 15% glycerol stocks and freshly streaked onto yeast peptone dextrose (YPD) media prior to experimentation. Cells were maintained on YPD medium at 30°C unless stated otherwise. RPMI 1640 medium (catalog number. SH30011.04, Cytiva)+ 165mM MOPS was prepared and adjusted to pH = 7 for all experiments in which cells were grown on RPMI medium.

Gene deletion mutant library screen for sensitivity to Ni or DMG

To identify genes deletion mutants sensitive to the Ni chelator DMG or Ni, the transcription factor and kinase deletion libraries generated by Dr. Yong-Sun Bahn’s group [43,44], and the partial genome deletion library generated by Dr. Hiten Madhani’s group were replicated into RPMI liquid media at 37°C and incubated for 1–2 days to allow them to reach the stationary phase. The libraries were replicated in RPMI medium to ensure that any phenotype we observed on our RPMI+Ni or RPMI+DMG plates was not due to the mutant’s growth impairment in RPMI media. These cultures were spotted onto solid RPMI supplemented with 4 mM DMG or 250 μM Ni and grown at 37°C for three days to assess sensitivity visually.

Metal assays

To examine sensitivity to various metals, strains were grown in YPD liquid medium overnight with shaking at 220 rpm at 30°C. Cells were collected, washed once with sterile water, and adjusted to a cell density of OD600 = 1. The cells were then serially diluted in 10-fold and spotted onto RPMI plates with the indicated metals: CuSO4 (Cu), ZnCl2 (Zn), and FeSO4 (Fe) at 250 μM. Unless otherwise indicated, RPMI+Ni plates contained 250 μM NiSO4. The plates were incubated at 37°C for two days before imaging.

Urease activity

Urea Agar (Becton Dickinson 211795) was prepared following the manufacturer’s protocol. Plates were supplemented with indicated concentrations of DMG. Cryptococcal cells of the indicated strains (OD600 = 3) were spotted onto agar plates and incubated at 30°C for 2 days before imaging.

Fluconazole sensitivity assay

To examine fluconazole sensitivity, similarly prepared cells with serial dilutions were spotted onto yeast nitrogen base (YNB) agar as well as YNB with fluconazole at the indicated concentrations.

Western blot

Strain Linlab7787 expressing 3xFlag-Sre1 were cultured on RPMI, RPMI+ 250μM Ni, and RPMI+4μg/mL fluconazole plates. The cells were collected by centrifugation and the supernatant was discarded. The cell pellet was frozen in liquid nitrogen. 1mL pre-chilled 0.2 M NaOH (0.2% β-ME) and 0.5mm glass beads were added to the cell pellet. The cells were disrupted at 4°C with a bead beater (Next Advance) 5 times at 1 min working and 1 min rest. The supernatant was transferred to a new Eppendorf tube and 75μL of 100% trichloroacetic acid (TCA) was added. After 10-minute incubation on ice, the extraction was centrifuged at 12,000rpm for 5 minutes at 4°C and the supernatant was discarded. The pellet was resuspended in 100μL 1M Tris and was denatured with an SDS-containing loading buffer prior to electrophoresis on an SDS-12% PAGE gel. Samples separated on the SDS-PAGE gel were transferred to polyvinylidene difluoride (PVDF) membrane (Millipore), using the eBlot L1 Fast Wet Protein Transfer System (GenScript) using preset protocols. The blots were incubated with Mouse anti-Flag antibody diluted 1:2,000 (Sigma; Lot #: SLCJ3741), washed, and then incubated with Rabbit anti-mouse secondary antibody diluted 1:20,000 (Clontech Inc.). Signals were detected using enhanced chemiluminescence (ECL) according to manufacturer instructions (Pierce). Protein loading was confirmed via Coomassie staining.

Gene manipulation

All primers and plasmids used in this study are listed in S8 Table. For gene overexpression, open reading frames (ORFs) of the indicated genes were amplified by PCR from C. neoformans H99 genomic DNA and cloned into vectors containing TEF1 (pLinlab995) or GPD1 (pLinlab1059) promoters. Plasmids were confirmed via two rounds of restriction enzyme digestion. M13F and M13R primers were used to PCR amplify the donor DNA, which was introduced into the indicated recipient strains using the Transient CRISPR-Cas9 coupled with Electroporation (TRACE) protocol as we described previously [86]. Constructs were integrated into the safe haven SH2 region [87].

For gene deletion of SRE1, the deletion cassette was amplified from genomic DNA (gDNA) of a sre1Δ mutant, which is part of the C. neoformans transcription factor deletion library generated by Dr. Yong-Sun Bahn and colleagues [44]. To generate the sgRNA for the SRE1 deletion, the U6 promoter was amplified from JEC21 gDNA and the sgRNA scaffold was amplified from plasmid pDD162, using primer pairs Linlab4627/Linlab7751 and Linlab4628/Linlab7752, respectively. The U6 promoter and sgRNA scaffold pieces were fused together by overlap PCR with primers Linlab4594/Linlab4595 to generate the final sgRNA construct as described previously [86,88].

Overexpression and deletion constructs were transformed into the indicated C. neoformans strains via TRACE [86, 88]. Transformants were selected on YPD medium with 100 μg/ml of nourseothricin (NAT), 100 μg/ml of neomycin (NEO), or 200 μg/ml of hygromycin (HYG) depending on the drug marker used.

The successful deletion of SRE1 was screened via diagnostic PCR. Primer pair Linlab4895 (a SRE1 promoter forward) and Linlab3792 (a reverse primer inside the NAT cassette) were used to ensure that the drug marker was inserted into the SRE1 locus. Primers Linlab8488 and Linlab4897, which both lie on the SRE1 open reading frame, were used to ensure that the ORF was missing. The successful integration of EBP gene overexpression constructs into the SH2 region was screened via 3-primer PCR [89]. Since the construct can insert into the SH2 region in either the forward or the reverse direction, primer Linlab5936, a reverse primer on the overexpression construct was paired with SH2 sequencing primers Linlab4814 and 4815. A band indicative of the direction the construct was inserted into the genome, or if it was not inserted would be amplified with three primer PCRs.

The ERG25H189A H272A overexpression strain was constructed by amplifying the gene with primers with nucleotide changes that would mutate the indicated histidine codons to alanine. The successfully amplified ORF was cloned into pLinlab995 to be under the control of the constitutively active TEF1 promoter. All overexpression constructs were PCR amplified with M13F and M13R, and transformed into the SH2 region in the indicated recipient strains using TRACE.

RNA Extraction and Real-Time PCR

Real-Time PCR (RT-PCR) was used to confirm the EBP gene and URE7 overexpression strains. Cells were grown in YPD liquid cultures with shaking at 30°C overnight. Cells were collected, flash-frozen with liquid nitrogen, and lyophilized overnight. Desiccated cells were disrupted with glass beads, and total RNA was extracted using the PureLink RNA Mini Kit (Invitrogen) according to the manufacturer’s instructions. To remove any potential DNA contamination, samples were treated with DNase using the TURBO DNA-free Kit (Invitrogen) following the manufacturer’s protocol. First-strand cDNA was synthesized using the GoScript Reverse Transcription System (Promega) following the manufacturer’s instructions. Power SYBR Green (Invitrogen) was used for all RT-PCR reactions. TEF1 was used as an internal control for all RNA samples. All RT-PCR primers used are listed in S2 Table. Relative transcript level was determined using the ΔΔCt method as we described previously [90] and statistical significance was determined using Student’s t-test.

RNA Deep sequencing

For transcriptome analysis in response to DMG, Ni, or hypoxia, overnight cultures in liquid YPD of the indicated strains were collected and washed twice with sterile dH2O. Approximately 3x108 cells were plated onto RPMI plates with or without supplementation with 250μM Ni or 4mM DMG. Cells were then incubated for eight hours at 37°C. Under the hypoxia condition, cells were cultured on RPMI plates for eight hours in the hypoxia chamber set to 0.1% O2, 5% CO2. The hypoxic environment was maintained using a Biospherix C chamber with O2 levels controlled by a Pro-Ox controller and CO2 levels controlled by a Pro-CO2 controller (Biospherix, Lacona, NY, USA). At the designated time, cells were scrapped from the plates quickly, snap-frozen with liquid nitrogen, and then lyophilized. Total RNA from these cell samples was extracted using the PureLink RNA mini kit (Life Technologies) as described earlier.

RNA samples were sent to GENEWIZ, Inc. for sequencing (polyadenylated RNA enrichment, non-strand-specific, paired end 150 bp on Illumina HiSeq platform). The raw reads were trimmed using Trim_Galore (0.6.5) and aligned to Cryptococcus neoformans var. grubii H99 reference genome using STAR (2.7.1a). The alignment files (Bam) were used to generate read counts and Fragments Per Kilobase of transcript per Million mapped reads (FPKM) with Cufflinks (2.2.1). Differential gene expression analysis was performed using DESeq2 with false discovery rate (FDR) adjusted p-value ≤ 0.05 as threshold.

RNA-Seq Data availability

The raw sequencing reads from this study have been submitted to the NCBI Sequence Read Archive (BioProject PRJNA1082343).

Microscopy

For fluorescence observation of filipin staining samples were examined under a Zeiss Imager M2 microscope equipped with an AxioCam 506 mono camera. Filipin was visualized with the FL Filter Set 49 DAPI (Carl Zeiss Microscopy). The fluorescence intensity was quantified via Zen Pro software (Carl Zeiss Microscopy).

Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

For metal accumulation analysis, 50 mL cultures of C. neoformans strains were grown on YPD for 16 hours at 30°C. Cells were collected by centrifugation and washed twice with sterile dH2O. 3x108 cells suspended in water were plated onto RPMI, RPMI+ 250 μM Ni, and RPMI+ 4 mM DMG. The plates were incubated at 37°C overnight. Cells were harvested from the plates and washed twice with sterile dH2O. Approximately 200mg of cell pellets were aliquoted into pre-weighed tubes. Most of the dH2O was removed and the cell pellet was heat-killed at 95°C for 20 minutes. Heat-killed cell samples were submitted to the Center for Applied Isotope Studies Plasma Chemistry Laboratory at the University of Georgia for ICP-MS.

Metals analysis was performed by Dr. Sarah Jantzi at the Plasma Chemistry Laboratory, Center for Applied Isotope Studies, University of Georgia. Samples, reference material, and method blanks were digested in PTFE vessels (Savillex, USA) using 0.5 mL trace metal grade concentrated nitric acid (Fisher Scientific, USA) for 1 hour 95°C, followed by 0.5 mL trace metal grade hydrogen peroxide (Fisher Scientific) for 1 hour at 95°C. Digestates were diluted with deionized water to 2% w/w nitric acid and the concentrations of Fe, Co, Ni, Cu, and Zn were determined by inductively-coupled plasma mass spectrometry (ICP-MS) using an indium internal standard. A Thermo X-Series 2 ICP-MS with collision cell technology and chilled spray chamber (Thermo, Germany) was used in kinetic energy discrimination (KED) mode with 8% hydrogen in helium to reduce interferences.

Ergosterol extraction

The same number of cells (5x107) for the indicated strains were plated onto RPMI, RPMI+ 250 μM Ni and incubated at 37°C for 2 days. The cells were collected with sterile water and were snap-frozen in liquid nitrogen. The cells were then lyophilized overnight. Samples were normalized to the same dry weight and desiccated cells were disrupted manually with glass beads. Ergosterol was extracted using a previously established protocol [62]. Briefly, 3mL 25% alcoholic KOH was added to the cells and transferred to a borosilicate glass tube with screw cap, vortexed for 1 minute, and incubated at 85°C for 1 hour. After cooling to room temperature, 1 mL of sterile water and 2 mL of n-heptane were added to each tube. Each tube was vortexed for 3 minutes and the solution was allowed to separate for ~5 minutes without centrifugation. The n-heptane layer was transferred to a microcentrifuge tube and concentrated via speedvac. 30 μL of n-heptane was added to the concentrated pellet for TLC analysis.

Thin Layer Chromatography (TLC)

A standard curve to quantify amounts of ergosterol was done by creating a 2 mg/mL stock of ergosterol in chloroform. This stock was serially diluted in 2-fold increments. 5 μL of each sample was spotted onto 10x20cm HPTLC Silica gel coated glass plates (EMD Chemicals) with 1μL drop at a time. The spots were placed 0.5 cm apart and 1 cm from the bottom of the plate. A mobile phase of petroleum ether, diethyl ether, and acetic acid (vol 85:15:1) was used to run the TLC plate in a covered TLC chamber. The TLC plate was then allowed to air dry in the chemical hood, and was developed for 45 minutes with iodine crystals in the covered TLC chamber and imaged. The density of the spots was quantified via the standard curve data.

Mammalian Cell Culture with or without Ni

A549 cells are human type II lung epithelial cells. A549 cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and incubated at 37°C with 5% CO2 in 250mL CellStar culture flasks (Greiner Bio-One). To test the effect of Ni on membrane lipids, A549 cells were seeded into 24-well glass bottom cell culture plates (Southern LabWare) at a concentration of 5x104 cells per well in DMEM+FBS media with or without Ni. Concentrations of Ni used were 0, 10, 50, and 100μM. After 72 hours of growth, cells were washed with warm sterile PBS, and then incubated in 25 μg/mL filipin III (Cayman Chemical) stain for 45 minutes at 22°C in the dark before imaging. The cells were viewed using a Zeiss Axio Observer 7 inverted microscope using a Plan-APOCHROME 20x objective lens (Carl Zeiss Microscopy).

Supporting information

S1 Fig. Urease is not required for Ni tolerance.

(A)H99 cells were serially diluted and spotted onto RPMI and RPMI+Ni at the indicatedconcentrations. The plates were imaged after two days of incubation. (B) The indicated strains with cell density OD600 = 3 were spotted onto Christensen Urea Agar (CUA) plates. The plates were incubated for three days and imaged. Urease activity is indicated by the yellow to pink color change of the media due to alkalization of the media by released ammonia. (C) Two molecules of DMG chelate one molecule of Ni. (D) H99 and ure1Δ with cell density OD600 = 3 were spotted onto Christensen Urea Agar (CUA) plates with increasing concentrations of DMG. The plates were incubated for three days and imaged. (E) The indicated strains were serially diluted and spotted onto RPMI and RPMI+ 250μM Ni plates. The plates were imaged after two days of incubation.

https://doi.org/10.1371/journal.pgen.1011413.s001

(PDF)

S2 Fig. Metal accumulation does not dictate metal sensitivity.

(A) The indicated strains were plated onto RPMI media with or without Ni, and incubated at 37°C for 2 days. (B) ICP-MS quantification of Cu (left) and Zn (right) concentrations in cells grown on RPMI+Ni. The same dry weight of cells was used for the analysis. Student’s t-test was used for statistical analysis. **: p ≤0.01, ***: p ≤0.001.

https://doi.org/10.1371/journal.pgen.1011413.s002

(PDF)

S3 Fig. Ni and hypoxia have distinct impacts on transcriptome.

(A) Volcano plot of transcript changes of sre1Δ grown on RPMI+Ni versus H99 grown on RPMI+Ni based on RNA-seq data. (B) Volcano plot of transcript changes of sre1Δ grown on RPMI+hypoxia versus H99 grown on RPMI+hypoxia based on RNA-seq data. The red dots in both panels indicate EBP genes present in the data set. (C) Plot of transcript changes of genes shared between H99 Ni vs RPMI and H99 hypoxia vs normoxia data sets. Red highlighted genes are EBP genes. In all panels, dots that fall outside of the shaded grey areas are DEGs.

https://doi.org/10.1371/journal.pgen.1011413.s003

(PDF)

S4 Fig. The sre1Δ sensitivity to Ni is not due to iron starvation.

(A) ICP-MS data showing intracellular iron concentrations in H99 and sre1Δ on RPMI (C), RPMI+250μM Ni (N), and RPMI+DMG (D). Student’s t-test was performed to assess statistical significance. ** = ≤0.01, ns = not significant. (B) The indicated strains were serially diluted and spotted onto RPMI and RPMI+250μM Ni media. Plates were incubated at 37°C for two days prior to imaging.

https://doi.org/10.1371/journal.pgen.1011413.s004

(PDF)

S5 Fig. Ni and Cobalt (Co) elicit overlapping and different effects on growth.

(A) Wildtype H99 and sre1Δ cells were serially diluted and spotted onto RPMI, RPMI+250μM Ni, and RPMI+250μM Co. The plates were incubated at 37°C for two days prior to imaging. (B) H99, pas2Δ and sre1Δ cells were serially diluted and spotted onto RPMI, and RPMI with the indicated concentration of Ni. The plates were incubated at 37°C for two days prior to imaging.

https://doi.org/10.1371/journal.pgen.1011413.s005

(PDF)

S6 Fig. Neither ERG3 nor ERG4 is required for cryptococcal tolerance of Ni.

Cells of the indicated strains were serially diluted and spotted on RPMI and RPMI+250μM Ni. Plates were incubated at 37°C for two days prior to imaging.

https://doi.org/10.1371/journal.pgen.1011413.s006

(PDF)

S7 Fig. ERG25 is required for tolerance of Co and ERG overexpression can partially restore the growth defect of sre1Δ in hypoxia.

(A) Cells of H99 with overexpression of the indicated ERG genes were serially diluted and plated onto YNB plates with CoCl2 at the indicated concentration. (B) Cells of the sre1Δ mutant with overexpression of the indicated ERG genes were serially diluted and plated on RPMI plates with the indicated concentrations of CoCl2. (C) Cells of the same strains as in Panel A were spotted onto YPD media and incubated in ambient air (normoxia) or hypoxia (0.1% O2, 5% CO2) conditions. (D) Cells of the same strains as in Panel B were spotted onto RPMI media with the indicated concentrations of Ni. All plates were incubated for two days prior to imaging.

https://doi.org/10.1371/journal.pgen.1011413.s007

(PDF)

S8 Fig. Erg25 protein sequence contains histidine residues in predicted metal binding regions.

C. neoformans Erg25 protein is 343 amino acids in length. Four histidine enriched putative metal binding motifs are boxed in various colors. The histidine residues predicted to interact with a cation are highlighted in yellow.

https://doi.org/10.1371/journal.pgen.1011413.s008

(PDF)

S9 Fig. URE7 is overexpressed in both wildtype and sre1Δ backgrounds.

RT-PCR data was generated by harvesting cells from overnight YPD cultures of (A) wild type and URE7OE in the wild type background as well as (B) sre1Δ and sre1ΔURE7OE. Housekeeping gene TEF1 was used as an internal control to ensure the quality of the original RNA sample used for cDNA amplification and for normalization. Student’s t-test was used for statistical analysis. ***: p ≤0.001, ****: p <0.0001.

https://doi.org/10.1371/journal.pgen.1011413.s009

(PDF)

S1 Table. Differentially expressed genes H99 Ni vs H99 RPMI.

https://doi.org/10.1371/journal.pgen.1011413.s010

(XLSX)

S2 Table. Differentially expressed genes H99 DMG vs H99 RPMI.

https://doi.org/10.1371/journal.pgen.1011413.s011

(XLSX)

S3 Table. Differentially expressed genes H99 Hypoxia vs H99 normoxia.

https://doi.org/10.1371/journal.pgen.1011413.s012

(XLSX)

S4 Table. Differentially expressed genes sre1Δ Ni vs H99 Ni.

https://doi.org/10.1371/journal.pgen.1011413.s013

(XLSX)

S5 Table. Differentially expressed genes sre1Δ Hypoxia vs H99 Hypoxia.

https://doi.org/10.1371/journal.pgen.1011413.s014

(XLSX)

S6 Table. Differentially expressed genes shared between H99 Ni vs H99 RPMI and H99 hypoxia vs H99 normoxia data sets.

https://doi.org/10.1371/journal.pgen.1011413.s015

(XLSX)

S7 Table. Fungal strains used in this study.

https://doi.org/10.1371/journal.pgen.1011413.s016

(XLSX)

S8 Table. Primers and plasmids used in this study.

https://doi.org/10.1371/journal.pgen.1011413.s017

(XLSX)

Acknowledgments

We thank all Lin lab members for their helpful suggestions. We also thank Dr. Sarah Jantzi at the Plasma Chemistry Laboratory, Center for Applied Isotope Studies, University of Georgia for her assistance and expertise with ICP-MS. We also thank the Yong-Sun Bahn laboratory for generating the transcription factor and kinase deletion collections, and the Madhani laboratory for generating the deletion collection (funded by NIH R01AI100272).

References

  1. 1. Iyaka YA. Nickel in soils: A review of its distribution and impacts. Scientific Research and Essays. 2011;6(33):6774–7.
  2. 2. Macomber L, Hausinger RP. Mechanisms of nickel toxicity in microorganisms. Metallomics. 2011;3(11):1153–62. pmid:21799955
  3. 3. Denkhaus E, Salnikow K. Nickel essentiality, toxicity, and carcinogenicity. Critical reviews in oncology/hematology. 2002;42(1):35–56. pmid:11923067
  4. 4. Genchi G, Carocci A, Lauria G, Sinicropi MS, Catalano A. Nickel: Human health and environmental toxicology. International journal of environmental research and public health. 2020;17(3):679. pmid:31973020
  5. 5. Reclaru L, Unger R, Kirkpatrick C, Susz C, Eschler P-Y, Zuercher M-H, et al. Ni–Cr based dental alloys; Ni release, corrosion and biological evaluation. Materials Science and Engineering: C. 2012;32(6):1452–60. pmid:24364945
  6. 6. Zhao J, Shi X, Castranova V, Ding M. Occupational toxicology of nickel and nickel compounds. Journal of Environmental Pathology, Toxicology and Oncology. 2009;28(3). pmid:19888907
  7. 7. Strlic M, Kolar J, Selih V-S, Kocar D, Pihlar B. A comparative study of several transition metals in Fenton-like reaction systems at circum-neutral pH. Acta Chimica Slovenica. 2003;50(4):619–32.
  8. 8. Sule K, Umbsaar J, Prenner EJ. Mechanisms of Co, Ni, and Mn toxicity: From exposure and homeostasis to their interactions with and impact on lipids and biomembranes. Biochimica et Biophysica Acta (BBA)-Biomembranes. 2020;1862(8):183250. pmid:32126229
  9. 9. Repetto MG, Ferrarotti NF, Boveris A. The involvement of transition metal ions on iron-dependent lipid peroxidation. Archives of toxicology. 2010;84:255–62. pmid:19936709
  10. 10. Athar M, Hasan SK, Srivastava RC. Evidence for the involvement of hydroxyl radicals in nickel mediated enhancement of lipid peroxidation: implications for nickel carcinogenesis. Biochemical and biophysical research communications. 1987;147(3):1276–81. pmid:3663217
  11. 11. Chen C-Y, Su Y-J, Wu P-F, Shyu M-M. Nickel-induced plasma lipid peroxidation and effect of antioxidants in human blood: involvement hydroxyl radical formation and depletion of α-tocopherol. Journal of Toxicology and Environmental Health, Part A. 2002;65(12):843–52.
  12. 12. Salnikow K, Kluz T, Costa M. Role of Ca2+ in the regulation of nickel-inducible Cap43 gene expression. Toxicology and applied pharmacology. 1999;160(2):127–32. pmid:10527911
  13. 13. Salnikow K, An WG, Melillo G, Blagosklonny MV, Costa M. Nickel-induced transformation shifts the balance between HIF-1 and p53 transcription factors. Carcinogenesis. 1999;20(9):1819–23. pmid:10469629
  14. 14. Pezzuto A, Carico E. Role of HIF-1 in cancer progression: novel insights. A review. Current molecular medicine. 2018;18(6):343–51. pmid:30411685
  15. 15. Harris AL. Hypoxia—a key regulatory factor in tumour growth. Nature reviews cancer. 2002;2(1):38–47. pmid:11902584
  16. 16. Han A, Zou L, Gan X, Li Y, Liu F, Chang X, et al. ROS generation and MAPKs activation contribute to the Ni-induced testosterone synthesis disturbance in rat Leydig cells. Toxicology Letters. 2018;290:36–45. pmid:29567110
  17. 17. Chen C-Y, Wang Y-F, Lin Y-H, Yen S-F. Nickel-induced oxidative stress and effect of antioxidants in human lymphocytes. Archives of toxicology. 2003;77:123–30. pmid:12632251
  18. 18. Wang P. Genetic transformation in Cryptococcus species. Journal of Fungi. 2021;7(1):56.
  19. 19. Knowles CM, McIntyre KM, Panepinto JC. Tools for assessing translation in Cryptococcus neoformans. Journal of Fungi. 2021;7(3):159.
  20. 20. Frerichs AB, Huang M, Ortiz SC, Hull CM. Methods for manipulating Cryptococcus spores. Journal of Fungi. 2021;8(1):4.
  21. 21. Shi R, Lin X. Illuminating the Cryptococcus neoformans species complex: unveiling intracellular structures with fluorescent-protein-based markers. Genetics. 2024:iyae059.
  22. 22. Gyawali R, Lin X. Prezygotic and postzygotic control of uniparental mitochondrial DNA inheritance in Cryptococcus neoformans. mBio. 2013;4(2):e00112–13.
  23. 23. Matha AR, Lin X. Current perspectives on uniparental mitochondrial inheritance in Cryptococcus neoformans. Pathogens. 2020;9(9):743.
  24. 24. Zhao Y, Wang Y, Upadhyay S, Xue C, Lin X. Activation of meiotic genes mediates ploidy reduction during cryptococcal infection. Current biology. 2020;30(8):1387–96. e5. pmid:32109388
  25. 25. Sun S, Hsueh Y-P, Heitman J. Gene conversion occurs within the mating-type locus of Cryptococcus neoformans during sexual reproduction. PLoS Genetics. 2012;8(7):e1002810.
  26. 26. Priest SJ, Coelho MA, Mixão V, Clancey SA, Xu Y, Sun S, et al. Factors enforcing the species boundary between the human pathogens Cryptococcus neoformans and Cryptococcus deneoformans. PLoS genetics. 2021;17(1):e1008871.
  27. 27. Roth C, Sun S, Billmyre RB, Heitman J, Magwene PM. A high-resolution map of meiotic recombination in Cryptococcus deneoformans demonstrates decreased recombination in unisexual reproduction. Genetics. 2018;209(2):567–78.
  28. 28. Catania S, Dumesic PA, Pimentel H, Nasif A, Stoddard CI, Burke JE, et al. Evolutionary persistence of DNA methylation for millions of years after ancient loss of a de novo methyltransferase. Cell. 2020;180(2):263–77. e20. pmid:31955845
  29. 29. Yadav V, Mohan R, Sun S, Heitman J. Calcineurin contributes to RNAi-mediated transgene silencing and small interfering RNA production in the human fungal pathogen Cryptococcus neoformans. Genetics. 2024;226(3):iyae010.
  30. 30. Tian X, He G-J, Hu P, Chen L, Tao C, Cui Y-L, et al. Cryptococcus neoformans sexual reproduction is controlled by a quorum sensing peptide. Nature Microbiology. 2018;3(6):698–707.
  31. 31. Homer CM, Summers DK, Goranov AI, Clarke SC, Wiesner DL, Diedrich JK, et al. Intracellular action of a secreted peptide required for fungal virulence. Cell host & microbe. 2016;19(6):849–64. pmid:27212659
  32. 32. Alfano M, Cavazza C. Structure, function, and biosynthesis of nickel-dependent enzymes. Protein Science. 2020;29(5):1071–89. pmid:32022353
  33. 33. Cox GM, Mukherjee J, Cole GT, Casadevall A, Perfect JR. Urease as a virulence factor in experimental cryptococcosis. Infect Immun. 2000;68(2):443–8. pmid:10639402
  34. 34. Olszewski MA, Noverr MC, Chen G-H, Toews GB, Cox GM, Perfect JR, et al. Urease expression by Cryptococcus neoformans promotes microvascular sequestration, thereby enhancing central nervous system invasion. The American journal of pathology. 2004;164(5):1761–71.
  35. 35. Singh A, Panting RJ, Varma A, Saijo T, Waldron KJ, Jong A, et al. Factors required for activation of urease as a virulence determinant in Cryptococcus neoformans. MBio. 2013;4(3):e00220–13.
  36. 36. Feder V, Kmetzsch L, Staats CC, Vidal-Figueiredo N, Ligabue-Braun R, Carlini CR, et al. Cryptococcus gattii urease as a virulence factor and the relevance of enzymatic activity in cryptococcosis pathogenesis. FEBS J. 2015;282(8):1406–18.
  37. 37. Chang YC, Bien CM, Lee H, Espenshade PJ, Kwon-Chung KJ. Sre1p, a regulator of oxygen sensing and sterol homeostasis, is required for virulence in Cryptococcus neoformans. Molecular Microbiology. 2007;64(3):614–29.
  38. 38. Bien CM, Espenshade PJ. Sterol regulatory element binding proteins in fungi: hypoxic transcription factors linked to pathogenesis. Eukaryotic cell. 2010;9(3):352–9. pmid:20118213
  39. 39. Lee H, Bien CM, Hughes AL, Espenshade PJ, Kwon-Chung KJ, Chang YC. Cobalt chloride, a hypoxia-mimicking agent, targets sterol synthesis in the pathogenic fungus Cryptococcus neoformans. Molecular microbiology. 2007;65(4):1018–33.
  40. 40. Lewis C, Brault C, Peck B, Bensaad K, Griffiths B, Mitter R, et al. SREBP maintains lipid biosynthesis and viability of cancer cells under lipid-and oxygen-deprived conditions and defines a gene signature associated with poor survival in glioblastoma multiforme. Oncogene. 2015;34(40):5128–40. pmid:25619842
  41. 41. Horton JD, Goldstein JL, Brown MS. SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. The Journal of clinical investigation. 2002;109(9):1125–31. pmid:11994399
  42. 42. Godycki LE, Rundle R. The structure of nickel dimethylglyoxime. Acta Crystallographica. 1953;6(6):487–95.
  43. 43. Lee KT, So YS, Yang DH, Jung KW, Choi J, Lee DG, et al. Systematic functional analysis of kinases in the fungal pathogen Cryptococcus neoformans. Nat Commun. 2016;7:12766.
  44. 44. Jung K-W, Yang D-H, Maeng S, Lee K-T, So Y-S, Hong J, et al. Systematic functional profiling of transcription factor networks in Cryptococcus neoformans. Nature communications. 2015;6(1):1–14.
  45. 45. Eberlé D, Hegarty B, Bossard P, Ferré P, Foufelle F. SREBP transcription factors: master regulators of lipid homeostasis. Biochimie. 2004;86(11):839–48. pmid:15589694
  46. 46. Foster AW, Osman D, Robinson NJ. Metal preferences and metallation. Journal of biological chemistry. 2014;289(41):28095–103. pmid:25160626
  47. 47. Jung WH, Kronstad JW. Iron and fungal pathogenesis: a case study with Cryptococcus neoformans. Cellular microbiology. 2008;10(2):277–84.
  48. 48. Jiang N, Liu X, Yang J, Li Z, Pan J, Zhu X. Regulation of copper homeostasis by Cuf1 associates with its subcellular localization in the pathogenic yeast Cryptococcus neoformans H99. FEMS yeast research. 2011;11(5):440–8.
  49. 49. Singh A, Panting RJ, Varma A, Saijo T, Waldron KJ, Jong A, et al. Factors required for activation of urease as a virulence determinant in Cryptococcus neoformans. MBio. 2013;4(3).
  50. 50. Garcia-Santamarina S, Festa RA, Smith AD, Yu CH, Probst C, Ding C, et al. Genome-wide analysis of the regulation of Cu metabolism in Cryptococcus neoformans. Molecular microbiology. 2018;108(5):473–94.
  51. 51. Lian T, Simmer MI, D’Souza CA, Steen BR, Zuyderduyn SD, Jones SJ, et al. Iron-regulated transcription and capsule formation in the fungal pathogen Cryptococcus neoformans. Molecular microbiology. 2005;55(5):1452–72.
  52. 52. Cadieux B, Lian T, Hu G, Wang J, Biondo C, Teti G, et al. The mannoprotein Cig1 supports iron acquisition from heme and virulence in the pathogenic fungus Cryptococcus neoformans. The Journal of infectious diseases. 2013;207(8):1339–47.
  53. 53. Zhao Y, Lin X. A PAS Protein Directs Metabolic Reprogramming during Cryptococcal Adaptation to Hypoxia. Mbio. 2021;12(2):e03602–20. pmid:33727360
  54. 54. Muñoz-Sánchez J, Chánez-Cárdenas ME. The use of cobalt chloride as a chemical hypoxia model. Journal of Applied Toxicology. 2019;39(4):556–70. pmid:30484873
  55. 55. Geber A, Hitchcock CA, Swartz JE, Pullen FS, Marsden KE, Kwon-Chung KJ, et al. Deletion of the Candida glabrata ERG3 and ERG11 genes: effect on cell viability, cell growth, sterol composition, and antifungal susceptibility. Antimicrobial agents and chemotherapy. 1995;39(12):2708–17.
  56. 56. Kelly SL, Lamb DC, Taylor M, Corran AJ, Baldwin BC, Powderly WG. Resistance to amphotericin B associated with defective sterol Δ 8→ 7 isomerase in a Cryptococcus neoformans strain from an AIDS patient. FEMS microbiology letters. 1994;122(1–2):39–42.
  57. 57. Young LY, Hull CM, Heitman J. Disruption of ergosterol biosynthesis confers resistance to amphotericin B in Candida lusitaniae. Antimicrobial agents and chemotherapy. 2003;47(9):2717–24.
  58. 58. Moreira-Walsh B, Ragsdale A, Lam W, Upadhya R, Xu E, Lodge JK, et al. Membrane integrity contributes to resistance of Cryptococcus neoformans to the cell wall inhibitor caspofungin. Msphere. 2022;7(4):e00134–22.
  59. 59. Bhattacharya S, Esquivel BD, White TC. Overexpression or deletion of ergosterol biosynthesis genes alters doubling time, response to stress agents, and drug susceptibility in Saccharomyces cerevisiae. MBio. 2018;9(4):
  60. 60. Matha AR, Xie X, Lin X. Ergosterol Is Critical for Sporogenesis in Cryptococcus neoformans. Journal of Fungi. 2024;10(2):106.
  61. 61. Ghannoum MA, Rice LB. Antifungal agents: mode of action, mechanisms of resistance, and correlation of these mechanisms with bacterial resistance. Clinical microbiology reviews. 1999;12(4):501–17. pmid:10515900
  62. 62. Arthington-Skaggs BA, Jradi H, Desai T, Morrison CJ. Quantitation of ergosterol content: novel method for determination of fluconazole susceptibility of Candida albicans. Journal of Clinical Microbiology. 1999;37(10):3332–7.
  63. 63. Van Leeuwen M, Smant W, De Boer W, Dijksterhuis J. Filipin is a reliable in situ marker of ergosterol in the plasma membrane of germinating conidia (spores) of Penicillium discolor and stains intensively at the site of germ tube formation. Journal of microbiological methods. 2008;74(2–3):64–73.
  64. 64. Altamirano S, Simmons C, Kozubowski L. Colony and single cell level analysis of the heterogeneous response of Cryptococcus neoformans to fluconazole. Frontiers in Cellular and Infection Microbiology. 2018;8:203.
  65. 65. Li L, Kaplan J. Characterization of yeast methyl sterol oxidase (ERG25) and identification of a human homologue. Journal of Biological Chemistry. 1996;271(28):16927–33. pmid:8663358
  66. 66. Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596(7873):583–9. pmid:34265844
  67. 67. Varadi M, Anyango S, Deshpande M, Nair S, Natassia C, Yordanova G, et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic acids research. 2022;50(D1):D439–D44. pmid:34791371
  68. 68. Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y. The I-TASSER Suite: protein structure and function prediction. Nature methods. 2015;12(1):7–8. pmid:25549265
  69. 69. Roy A, Kucukural A, Zhang Y. I-TASSER: a unified platform for automated protein structure and function prediction. Nature protocols. 2010;5(4):725–38. pmid:20360767
  70. 70. Zhang Y. I-TASSER server for protein 3D structure prediction. BMC bioinformatics. 2008;9:1–8.
  71. 71. Schroeder HA. Serum cholesterol levels in rats fed thirteen trace elements. The Journal of Nutrition. 1968;94(4):475–80. pmid:5653261
  72. 72. Chen Z, He J, Chen L, Wu X, Yu X. Association between the nickel exposure and lipid profiles in general population from NHANES. Environmental Science and Pollution Research. 2022;29(44):66383–8. pmid:35499735
  73. 73. Espenshade PJ, Hughes AL. Regulation of sterol synthesis in eukaryotes. Annu Rev Genet. 2007;41:401–27. pmid:17666007
  74. 74. Das KK, Reddy RC, Bagoji IB, Das S, Bagali S, Mullur L, et al. Primary concept of nickel toxicity–an overview. Journal of basic and clinical physiology and pharmacology. 2019;30(2):141–52.
  75. 75. Shahzad B, Tanveer M, Rehman A, Cheema SA, Fahad S, Rehman S, et al. Nickel; whether toxic or essential for plants and environment-A review. Plant physiology and biochemistry. 2018;132:641–51. pmid:30340176
  76. 76. Benoit SL, Miller EF, Maier RJ. Helicobacter pylori stores nickel to aid its host colonization. Infection and immunity. 2013;81(2):580–4.
  77. 77. Benoit SL, Schmalstig AA, Glushka J, Maier SE, Edison AS, Maier RJ. Nickel chelation therapy as an approach to combat multi-drug resistant enteric pathogens. Scientific reports. 2019;9(1):1–10.
  78. 78. Maier RJ, Benoit SL. Role of Nickel in Microbial Pathogenesis. Inorganics. 2019;7(7).
  79. 79. Stangl GI, Kirchgessner M. Nickel deficiency alters liver lipid metabolism in rats. The Journal of nutrition. 1996;126(10):2466–73. pmid:8857506
  80. 80. Kolesarova A, Capcarova M, Arpasova H, Kalafova A, Massanyi P, Lukac N, et al. Nickel-induced blood biochemistry alterations in hens after an experimental peroral administration. Journal of Environmental Science and Health, Part B. 2008;43(7):625–32. pmid:18803118
  81. 81. Mo C, Valachovic M, Randall S, Nickels J, Bard M. Protein–protein interactions among C-4 demethylation enzymes involved in yeast sterol biosynthesis. Proceedings of the National Academy of Sciences. 2002;99(15):9739–44. pmid:12119386
  82. 82. Marguerat S, Schmidt A, Codlin S, Chen W, Aebersold R, Bähler J. Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells. Cell. 2012;151(3):671–83. pmid:23101633
  83. 83. Carpy A, Krug K, Graf S, Koch A, Popic S, Hauf S, et al. Absolute proteome and phosphoproteome dynamics during the cell cycle of Schizosaccharomyces pombe (Fission Yeast). Molecular & Cellular Proteomics. 2014;13(8):1925–36.
  84. 84. Kelliher CM, Leman AR, Sierra CS, Haase SB. Investigating conservation of the cell-cycle-regulated transcriptional program in the fungal pathogen, Cryptococcus neoformans. PLoS genetics. 2016;12(12):e1006453.
  85. 85. Upadhyay S, Xu X, Lowry D, Jackson JC, Roberson RW, Lin X. Subcellular compartmentalization and trafficking of the biosynthetic machinery for fungal melanin. Cell Reports. 2016;14(11):2511–8. pmid:26972005
  86. 86. Lin J, Fan Y, Lin X. Transformation of Cryptococcus neoformans by electroporation using a transient CRISPR-Cas9 expression (TRACE) system. Fungal Genetics and Biology. 2020;138:103364.
  87. 87. Upadhya R, Lam WC, Maybruck BT, Donlin MJ, Chang AL, Kayode S, et al. A fluorogenic C. neoformans reporter strain with a robust expression of m-cherry expressed from a safe haven site in the genome. Fungal Genetics and Biology. 2017;108:13–25.
  88. 88. Fan Y, Lin X. Multiple applications of a transient CRISPR-Cas9 coupled with electroporation (TRACE) system in the Cryptococcus neoformans species complex. Genetics. 2018;208(4):1357–72.
  89. 89. Baek S, Utomo JC, Lee JY, Dalal K, Yoon YJ, Ro D-K. The yeast platform engineered for synthetic gRNA-landing pads enables multiple gene integrations by a single gRNA/Cas9 system. Metabolic Engineering. 2021;64:111–21. pmid:33549837
  90. 90. Wang L, Zhai B, Lin X. The link between morphotype transition and virulence in Cryptococcus neoformans. PLoS pathogens. 2012;8(6):e1002765.