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. 2019 Nov 19;10(6):e02682-19. doi: 10.1128/mBio.02682-19

A Fungal Arrestin Protein Contributes to Cell Cycle Progression and Pathogenesis

Calla L Telzrow a,b, Connie B Nichols a, Natalia Castro-Lopez c, Floyd L Wormley Jr c,*, J Andrew Alspaugh a,b,
Editor: Yong-Sun Bahnd
PMCID: PMC6867901  PMID: 31744923

To survive under unpredictable conditions, all organisms must adapt to stressors by regulating adaptive cellular responses. Arrestin proteins are conserved regulators of adaptive cellular responses in eukaryotes. Studies that have been limited to mammals and model fungi have demonstrated that the disruption of arrestin-regulated pathways is detrimental for viability. The human fungal pathogen Cryptococcus neoformans causes more than 180,000 infection-related deaths annually, especially among immunocompromised patients. In addition to being genetically tractable, C. neoformans has a small arrestin family of four members, lending itself to a comprehensive characterization of its arrestin family. This study serves as a functional analysis of arrestins in a pathogen, particularly in the context of fungal fitness and virulence. We investigate the functions of one arrestin protein, Ali1, and define its novel contributions to cytokinesis. We additionally explore the virulence contributions of the C. neoformans arrestin family and find that they contribute to disease establishment and progression.

KEYWORDS: FAS, antifungal therapy, cytokinesis, pathogenesis, Ras signaling

ABSTRACT

Arrestins, a structurally specialized and functionally diverse group of proteins, are central regulators of adaptive cellular responses in eukaryotes. Previous studies on fungal arrestins have demonstrated their capacity to modulate diverse cellular processes through their adaptor functions, facilitating the localization and function of other proteins. However, the mechanisms by which arrestin-regulated processes are involved in fungal virulence remain unexplored. We have identified a small family of four arrestins, Ali1, Ali2, Ali3, and Ali4, in the human fungal pathogen Cryptococcus neoformans. Using complementary microscopy, proteomic, and reverse genetics techniques, we have defined a role for Ali1 as a novel contributor to cytokinesis, a fundamental cell cycle-associated process. We observed that Ali1 strongly interacts with proteins involved in lipid synthesis, and that ali1Δ mutant phenotypes are rescued by supplementation with lipid precursors that are used to build cellular membranes. From these data, we hypothesize that Ali1 contributes to cytokinesis by serving as an adaptor protein, facilitating the localization of enzymes that modify the plasma membrane during cell division, specifically the fatty acid synthases Fas1 and Fas2. Finally, we assessed the contributions of the C. neoformans arrestin family to virulence to better understand the mechanisms by which arrestin-regulated adaptive cellular responses influence fungal infection. We observed that the C. neoformans arrestin family contributes to virulence, and that the individual arrestin proteins likely fulfill distinct functions that are important for disease progression.

INTRODUCTION

Tight regulation of signal transduction pathways is necessary for appropriate cellular adaptation to the environment. Arrestins are a group of multifunctional proteins that modulate the activation and repression of diverse signaling pathways in eukaryotes (14). Structurally, arrestins are defined by protein domains with conserved β-sheet-rich regions, termed the N-terminal and C-terminal arrestin domains, which provide important secondary structure guiding protein localization and activity (5, 6). Functionally, arrestins link plasma membrane-initiated signals to intracellular responses by regulating signal internalization and intracellular signaling cascades. In doing so, arrestins enable the eukaryotic cell to fine-tune adaptive cellular responses through the following three specific mechanisms: desensitizing G protein-coupled receptors (GPCRs), scaffolding signaling cascades, and serving as adaptor proteins (14).

Nearly 4 decades ago, arrestins were first discovered for their unique ability to “arrest” cellular responses to persistent stimuli in a classical process termed desensitization (7). Desensitization has been most commonly reported for and most extensively explored in visual and β-arrestins, classes of arrestins that are specific to metazoan cells (79). A third class of arrestins, the α-arrestins, are the evolutionary predecessors of the visual and β-arrestins (3, 5, 1012). Present in all eukaryotes except for plants, α-arrestins share the ability to perform desensitization (13, 14). Beyond desensitization, nontraditional arrestin roles have been recently elucidated in model fungi. Fungal α-arrestins often act as scaffolds, physically bringing different components of signaling cascades within functional proximity of each other (10, 1517). Additionally, other fungal α-arrestins function as adaptors, facilitating proper localization and function of other proteins. They often serve as ubiquitin ligase adaptors by means of proline-rich ubiquitin ligase binding motifs, or PxY sites, but α-arrestins can also act as adaptors for cytosolic proteins beyond those involved in ubiquitination (14, 1821). Through these mechanisms, arrestins enable eukaryotic cells to terminate, promote, and modulate diverse adaptive cellular response signaling pathways both at the plasma membrane and throughout the cytosol.

The regulation of adaptive cellular responses is particularly important for pathogenic fungi because, in order to cause disease, they must quickly adjust to the hostile environment of the human host. Our laboratory and others have defined many fungal adaptive cellular response pathways, such as the Ras1 pathway and the Rim alkaline pH-sensing pathway, that are required for fungal virulence (2227). However, the mechanisms by which adaptive cellular responses are regulated in pathogenic fungi are incompletely understood. The human fungal pathogen Cryptococcus neoformans is able to transition from its natural reservoir in the soil to establish infection in the host, resulting in more than 180,000 infection-related deaths annually, especially among immunocompromised patients (28). In contrast to other fungal model systems that encode numerous α-arrestin proteins in their genomes, we identified four α-arrestin proteins in C. neoformans, Ali1, Ali2, Ali3, and Ali4. This limited set of arrestin proteins allows for investigations of individual arrestin protein function, as well as assessment of arrestins as a collective family. Using Ali1 as a model, we report that Ali1 is a novel regulator of cytokinesis, and that this regulatory role is particularly important in the presence of stress. Additionally, we determine that Ali1 regulates cytokinesis through a typical arrestin role, likely functioning as an adaptor protein. Last, we demonstrate that although Ali1 is not individually required for fatal infection, the α-arrestin family as a whole contributes to fungal virulence. By using the C. neoformans α-arrestins to explore the mechanisms by which fungal pathogens regulate their adaptive cellular responses, we can gain a deeper understanding of the establishment and progression of fungal infections.

RESULTS

C. neoformans contains a small family of four arrestin proteins.

Previous work recently reported two putative α-arrestin proteins in the C. neoformans proteome, Ali1 (CNAG_02857) and Ali2 (CNAG_02341) (arrestin-like 1 and 2, respectively) (Fig. 1) (25). These proteins were identified as α-arrestins based on the presence of the N-terminal and C-terminal arrestin domains. We performed a search of the C. neoformans proteome to identify all α-arrestin domain-containing proteins (29). In doing so, we identified two additional α-arrestin proteins, Ali3 (CNAG_ 04137) and Ali4 (CNAG_ 05343), each of which contains a single C-terminal arrestin domain (Fig. 1). In addition to the arrestin domains, each of the identified C. neoformans α-arrestin proteins contains multiple ubiquitin ligase binding sites, or PxY sites, which are common features of α-arrestins (Fig. 1) (3, 12, 14). For the sake of simplicity, the C. neoformans α-arrestins will simply be referred to as “arrestins” throughout the remainder of the manuscript.

FIG 1.

FIG 1

The C. neoformans arrestin proteins. The arrestin proteins within the C. neoformans proteome, Ali1, Ali2, Ali3, and Ali4, were identified by the presence of the conserved β-sheet-rich arrestin domains. If present, the N-terminal arrestin domain (yellow), the C-terminal arrestin domain (blue), and any potential ubiquitin ligase binding sequences, or PxY sequences (black) are indicated for each arrestin protein. Protein and domain sizes are depicted to scale. aa, amino acids.

To prioritize our studies, we compared the protein sequence of each of the C. neoformans arrestin proteins with those in Saccharomyces cerevisiae and humans, two organisms with well-characterized arrestin families. Because there is often limited protein sequence conservation between arrestins in different species, we used two different programs within the Basic Local Alignment Search Tool (BLAST) algorithm. Protein-protein BLAST (BLASTp) was utilized to detect arrestin proteins in the S. cerevisiae and human proteomes with moderate to high degrees of homology with the C. neoformans arrestin proteins (30). We also used Position-Specific Iterated BLAST (PSI-BLAST) to detect arrestin proteins in the S. cerevisiae and human proteomes with low, but potentially relevant, degrees of homology with the C. neoformans arrestin proteins (31, 32). Ali1 was the only C. neoformans arrestin protein that shared significant sequence homology with multiple S. cerevisiae arrestins and a human arrestin (see Tables S1 and S2 in the supplemental material). In all of these instances, the identified sequence homology was located within the arrestin domains of both proteins. We therefore elected to focus our initial studies on Ali1.

TABLE S1

Primary amino acid sequence homology between the C. neoformans arrestins and S. cerevisiae arrestins. The BLASTp and PSI-BLAST programs were used to identify amino acid sequence conservation. Alignments with an E value less than 1 were determined to be significant (NA, not applicable). Download Table S1, DOCX file, 0.02 MB (17.1KB, docx) .

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TABLE S2

Primary amino acid sequence homology between the C. neoformans arrestins and human arrestins. The BLASTp and PSI-BLAST programs were used to identify amino acid sequence conservation. Alignments with an E value less than 1 were determined to be significant (NA, not applicable). Download Table S2, DOCX file, 0.01 MB (15.1KB, docx) .

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Ali1 exhibits cell cycle-regulated localization that is dependent on the Ras signaling pathway.

We first investigated the subcellular localization of Ali1, positing that its localization would be indicative of function. We C-terminally tagged Ali1 with green fluorescent protein (GFP) and validated proper expression, stability, and function of the Ali1-GFP fusion protein using quantitative real-time PCR, Western blotting, and mutant phenotype complementation, respectively (data not shown). Following validation, we incubated the wild-type (WT) strain and the Ali1-GFP strain to mid-logarithmic-growth phase in yeast-peptone-dextrose (YPD) medium at 30°C, a nutrient-rich growth condition, and tissue culture (TC) medium at 37°C, a stressful condition that more closely mimics the host environment. Using epifluorescence microscopy, we observed identical patterns of localization under both conditions, that Ali1-GFP localizes diffusely throughout the cytoplasm and is excluded from the vacuole in nonbudding cells (Fig. 2A). However, in budding cells, Ali1-GFP is enriched at the developing septum, and it also localizes within discrete puncta at the poles (Fig. 2A). To confirm this localization, we performed subcellular fractionations to measure the relative abundances of Ali1-GFP within the soluble (cytoplasmic) and insoluble (membrane-associated) cellular fractions. We observed that Ali1-GFP is enriched in the insoluble fraction, indicating that Ali1-GFP is associated with insoluble cellular components, such as the plasma membrane, intracellular membranes, and cell wall components (Fig. 2B). Together, these observations suggest that Ali1 may be a novel contributor to cell polarity and/or cell division.

FIG 2.

FIG 2

Ali1 subcellular localization patterns. (A) The WT and Ali1-GFP strains were incubated in YPD medium at 30°C (top) or TC medium at 37°C, and Ali1-GFP was localized by epifluorescence microscopy (Zeiss Axio Imager A1). Ali1-GFP localization to the septum (arrowheads) and poles (arrows) of budding yeasts is depicted. (B) To determine the relative enrichment of Ali1-GFP in different cellular fractions, WT and Ali1-GFP total cell lysates (T) were subjected to ultracentrifugation (30,000 × g) to isolate the soluble (S) and insoluble (I) cellular fractions. Samples were analyzed by Western blotting using an anti-GFP antibody. The estimated size of Ali1-GFP is approximately 122 kDa. The numbers to the left represent molecular weight in kilodaltons. (C) The dependence of Ali1-GFP localization on the Ras1 signaling pathway was determined using galactose-inducible expression of the RAS1 transcript. Cells were incubated in YPGal (WT) or YPD (ras1Δ mutant) medium. Ali1-GFP localization to the septum (arrowheads) and poles (arrows) of budding yeasts was observed using epifluorescence microscopy (Zeiss Axio Imager A1). (D) The frequency of Ali1-GFP localization to the septum and poles was quantified in the presence and absence of Ras1. The percentage of actively budding cells that displayed Ali1-GFP localization to the septum and/or poles was calculated under both YPGal (WT) and YPD (ras1Δ mutant) conditions. A minimum of 600 cells were analyzed under both YPGal (WT) and YPD (ras1Δ mutant) conditions across three biological replicates (n = 3). Error bars represent the standard error of the mean (SEM). Log transformation was used to normally distribute the data for statistical analysis (Student's t test; *, P < 0.05).

Previous work in our group identified C. neoformans Ras1 as a GTPase that is required for cytokinesis and polarized growth, particularly in the presence of cell stress (22, 23, 33). Therefore, we hypothesized that Ras1 might also be required for the cell cycle-associated localization of Ali1-GFP. To test this, we constructed a strain that, in addition to expressing ALI1-GFP, also expressed mCherry-RAS1 under a galactose-regulatable promoter (23). When incubated in galactose as the sole carbon source (yeast extract-peptone-galactose [YPGal]), cells express RAS1 at levels similar to that of WT cells, which is confirmed by mCherry-Ras1 localization to the plasma membrane. In contrast, RAS1 expression is repressed when this strain is incubated in glucose as the sole carbon source (YPD). When incubated under YPGal (WT) conditions, Ali1-GFP localizes to the septum and poles of dividing cells, as previously observed (Fig. 2C). However, under YPD (ras1Δ) conditions, Ali1-GFP localization to the septum and poles of budding cells is impaired (Fig. 2C). We quantified the frequency of Ali1-GFP localization to the septum and poles specifically among budding cells and observed that the polarized pattern of Ali1-GFP localization is significantly decreased under YPD (ras1Δ) conditions compared to YPGal (WT) conditions (Fig. 2D). These data indicate that Ali1-GFP localization to sites associated with cell polarity is dependent on Ras1.

Ali1 is a regulator of cytokinesis.

From the distinct, cell cycle-regulated localization pattern of Ali1-GFP, we hypothesized that Ali1 is involved in the process of cell division. To test this hypothesis, we constructed a loss-of-function ali1Δ mutant and analyzed this strain for cytokinesis defects. C. neoformans cells with loss-of-function mutations in septin genes, known contributors to cytokinesis, exhibit cytokinesis defects when grown at elevated temperatures (34). We incubated the WT strain, the ali1Δ mutant, and the complemented (ali1Δ + ALI1) strain at the permissive temperature of 30°C, or the more stressful temperature of 39°C, and assessed the cells for cytokinesis defects by differential interference contrast (DIC) microscopy. We observed that the ali1Δ mutant exhibits morphology similar to that of the WT strain at 30°C (Fig. 3A). However, at 39°C, we observed that the ali1Δ mutant displays an increased incidence of cytokinesis defects, specifically elongated cells, wide bud necks, and cells that fail to complete cytokinesis (Fig. 3A) (23, 34). We quantified this observation and found that the ali1Δ mutant exhibits a higher frequency of cytokinesis defects at 39°C than does the WT strain, and that this ali1Δ mutant phenotype is rescued by complementation with the WT ALI1 allele (Fig. 3B andS1). This observation implicates Ali1 in the regulation of cytokinesis.

FIG 3.

FIG 3

Cellular morphology of the ali1Δ mutant. (A) The WT, ali1Δ mutant, and ali1Δ + ALI1 strains were incubated in YPD medium at either 30°C or 39°C and subsequently imaged by DIC microscopy (Zeiss Axio Imager A1). The ali1Δ mutant cells displaying morphological defects, such as elongated cells (asterisk), wide bud necks (arrowhead), and cytokinesis failure (arrow), are indicated. (B) The percentage of total cells displaying morphological defects at 39°C was quantified for each strain. A minimum of 600 cells were analyzed across three biological replicates (n = 3). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; *, P < 0.01; ns, not significant). (C) The septin protein Cdc10 was localized by visualization of the Cdc10-mCherry fusion protein in both the WT and the ali1Δ mutant backgrounds after incubation in YPD medium at 30°C (above) or 37°C. The Cdc10-mCherry fusion protein was localized using epifluorescence microscopy (Zeiss Axio Imager A1).

FIG S1

Cellular morphology of the ali1Δ mutant at 30°C. The WT, ali1Δ mutant, and ali1Δ + ALI1 strains were incubated in YPD medium at 30°C, imaged by DIC microscopy (Zeiss Axio Imager A1), and quantified for the frequency of cytokinesis defects. The percentage of total cells displaying morphological defects at 30°C was quantified for each strain. A minimum of 600 cells were analyzed across three biological replicates (n = 3). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; ns, not significant). Download FIG S1, TIF file, 0.3 MB (276.3KB, tif) .

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Because the temperature-dependent cytokinesis phenotype of the ali1Δ mutant mimics that of septin mutants, we next hypothesized that Ali1 is required for septin protein complex formation. To do so, we analyzed septin protein localization in the WT strain compared to the ali1Δ mutant. Using epifluorescence microscopy, we observed that the septin protein Cdc10-mCherry localizes to the septum of budding cells in both the WT and ali1Δ mutant backgrounds, indicating that Ali1 is not required for assembly of septin proteins at the site of septum formation (Fig. 3C). Although Ali1 is not required for this particular septin protein localization, we next hypothesized that Ali1 may be involved in cytokinesis by modulating the function of other interacting proteins at the septum and poles.

Ali1-GFP interacts with proteins involved in lipid metabolism.

To better understand the mechanism by which Ali1 regulates cytokinesis, we performed a proteomic screen to identify potential protein interactors of Ali1. To do so, we incubated the Ali1-GFP strain, and the WT strain as a negative control, to mid-logarithmic-growth phase in YPD medium. We subsequently conditioned the cultures in YPD or TC medium at 30°C for 3 h in order to capture protein-protein interactions at the most permissive temperature. Following cell lysis, GFP immunoprecipitations were performed to enrich for Ali1-GFP. The immunoprecipitations were then analyzed by liquid chromatography-electrospray ionization-tandem mass spectrometry (LC/ESI/MS/MS) to identify proteins that potentially interact with Ali1-GFP under these two conditions. A total of 1,122 proteins were identified as potential Ali1-GFP interactors using this approach (Table S3). We applied unbiased methods to enrich for proteins under both YPD and TC conditions that were highly represented in the Ali1-GFP immunoprecipitations and lowly represented, if at all, in the respective WT immunoprecipitation. This prioritization scheme resulted in 59 and 62 potentially biologically relevant protein interactors of Ali1-GFP under YPD and TC conditions, respectively (Tables S4 and S5). Table 1 displays the top 30 hits from this experiment in YPD medium, organized by decreasing average exclusive unique peptide count (APC) and increasing APC identified in the WT immunoprecipitation. Table 2 displays the top 30 hits from this experiment in TC medium, organized by decreasing APC and increasing APC identified in the WT immunoprecipitation.

TABLE 1.

The 30 most abundant proteins identified as potential Ali1-GFP interactors in YPD mediuma

Gene IDb Gene name Gene product APC % APC identified in WT
CNAG_02099 FAS1 Fatty acid synthase, beta subunit 9.0 0.0
CNAG_02100 FAS2 Fatty acid synthase, alpha subunit 8.7 11.5
CNAG_02748 UTP-glucose-1-phosphate uridylyltransferase 8.7 11.5
CNAG_07373 Carbamoyl-phosphate synthase, large subunit 8.0 0.0
CNAG_03944 Chaperone regulator 6.7 15.0
CNAG_03358 Phosphoglycerate kinase 6.0 0.0
CNAG_04441 Polyadenylate-binding protein, cytoplasmic and nuclear 6.0 16.7
CNAG_01464 FHB1 Flavohemoglobin 5.7 17.6
CNAG_00418 S-Adenosylmethionine synthase 5.3 18.8
CNAG_01586 F-type H-transporting ATPase, B subunit 5.0 0.0
CNAG_02545 Inorganic pyrophosphatase 5.0 0.0
CNAG_04659 Pyruvate decarboxylase 4.7 0.0
CNAG_02928 Large subunit ribosomal protein L5e 4.3 0.0
CNAG_05759 Acetyl-CoA carboxylase/biotin carboxylasec 4.0 0.0
CNAG_07363 Isocitrate dehydrogenase, NAD dependent 4.0 0.0
CNAG_02673 NAD-dependent epimerase/dehydratase 3.7 0.0
CNAG_02811 Small subunit ribosomal protein S29 3.7 0.0
CNAG_07745 MPD1 Alcohol dehydrogenase, propanol preferring 3.3 0.0
CNAG_00176 Glutamate carboxypeptidase 3.3 0.0
CNAG_01404 Hsp71-like protein 3.3 0.0
CNAG_02500 Calnexin 3.0 0.0
CNAG_02991 Cofilin 3.0 0.0
CNAG_02943 Cytoplasmic protein 3.0 0.0
CNAG_03588 LYS2 l-Aminoadipate-semialdehyde dehydrogenase 3.0 0.0
CNAG_02736 T-complex protein 1, theta subunit 3.0 0.0
CNAG_03765 TPS2 Trehalose-phosphatase 3.0 0.0
CNAG_00136 Ubiquitin-activating enzyme E1 3.0 0.0
CNAG_07558 Uncharacterized protein 3.0 0.0
CNAG_06112 Carbamoyl-phosphate synthase arginine specific, large chain 2.7 0.0
CNAG_00879 Glutamate dehydrogenase 2.7 0.0
a

The average peptide count (APC) was calculated by averaging the exclusive unique peptide counts for each potential interactor across three biological replicates. The percentage of APC identified in the WT immunoprecipitation was calculated by dividing the APC of each potential interactor by the exclusive unique peptide count found in the WT immunoprecipitation. All potential protein interactors with an APC of 2 or more, as well as less than 20% of the APC identified in the WT immunoprecipitation, were considered to be unique interactors with Ali1-GFP. These potential protein interactors are prioritized by APC (most to least) and percentage of APC identified in the WT control (lowest to highest).

b

ID, identifier.

c

CoA, coenzyme A.

TABLE 2.

The 30 most abundant proteins identified as potential Ali1-GFP interactors in TC mediuma

Gene ID Gene name Gene product APC % APC identified in WT
CNAG_02099 FAS1 Fatty acid synthase, beta subunit 19.3 0.0
CNAG_02100 FAS2 Fatty acid synthase, alpha subunit 16.7 6.0
CNAG_04327 Uncharacterized protein 10.3 9.7
CNAG_05355 RSP5 E3 ubiquitin-protein ligase 6.0 0.0
CNAG_05978 Glutamate-tRNA ligase 6.0 16.7
CNAG_03588 LYS2 l-Aminoadipate-semialdehyde dehydrogenase 6.0 16.7
CNAG_03701 3-Phosphoshikimate 1-carboxyvinyltransferase 5.7 17.6
CNAG_00743 Imidazole glycerol phosphate synthase, cyclase subunit 5.3 0.0
CNAG_07561 6-Phosphogluconate dehydrogenase, decarboxylating I 5.3 18.8
CNAG_06175 26S proteasome, regulatory subunit N2 4.7 0.0
CNAG_01216 6-Phosphogluconolactonase 4.0 0.0
CNAG_00602 Eukaryotic translation initiation factor 3, subunit I 4.0 0.0
CNAG_00136 Ubiquitin-activating enzyme E1 4.0 0.0
CNAG_06666 α-1,4-Glucan phosphorylase 3.7 0.0
CNAG_02565 Homoaconitase, mitochondrial 3.7 0.0
CNAG_02035 Triosephosphate isomerase 3.7 0.0
CNAG_05650 UBP5 Ubiquitin carboxyl-terminal hydrolase 7 3.7 0.0
CNAG_00708 Pre-mRNA-splicing factor Slt11 3.3 0.0
CNAG_01981 Sulfide:quinone oxidoreductase 3.3 0.0
CNAG_03249 THO complex, subunit 4 3.3 0.0
CNAG_00649 Tryptophan synthase, beta subunit 3.3 0.0
CNAG_02858 ADE12 Adenylosuccinate synthetase 3.0 0.0
CNAG_01189 DNA-directed RNA polymerase I, subunit RPA1 3.0 0.0
CNAG_02545 Inorganic pyrophosphatase 3.0 0.0
CNAG_04976 Zuotin 3.0 0.0
CNAG_04951 3-Deoxy-7-phosphoheptulonate synthase 2.7 0.0
CNAG_02500 Calnexin 2.7 0.0
CNAG_06730 GSK3 CMGC/GSK protein kinaseb 2.7 0.0
CNAG_00700 Phosphoribosylaminoimidazolecarboxamide formyltransferase/IMP cyclohydrolase 2.7 0.0
CNAG_02315 Ubiquinol-cytochrome c reductase, iron-sulfur subunit 2.7 0.0
a

The average peptide count (APC) was calculated by averaging the exclusive unique peptide counts for each potential interactor across three biological replicates. The percentage of APC identified in the WT immunoprecipitation was calculated by dividing the APC of each potential interactor by the exclusive unique peptide count found in the WT immunoprecipitation. All potential protein interactors with an APC of 2 or more, as well as less than 20% of the APC identified in the WT immunoprecipitation, were considered to be unique interactors with Ali1-GFP. These potential protein interactors are prioritized by APC (most to least) and percentage of APC identified in the WT control (lowest to highest).

b

CMGC, family consisting of cyclin-dependent kinase (CDK), mitogen-activated protein kinase (MAPK), glycogen synthase kinase 3 (GSK3), and CDC-like kinases.

TABLE S3

A total of 1,122 proteins were identified as potential interactors of Ali1-GFP. All identified C. neoformans proteins are included, along with the exclusive unique peptide count for each protein in each replicate. Download Table S3, XLS file, 0.3 MB (336.5KB, xls) .

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TABLE S4

The 59 biologically relevant proteins identified as potential interactors of Ali1-GFP in YPD medium. The average peptide count (APC) was calculated by averaging the exclusive unique peptide counts for each potential interactor across three biological replicates. The percentage of APC identified in the WT immunoprecipitation was calculated by dividing the APC of each potential interactor by the exclusive unique peptide count found in the WT immunoprecipitation. All potential protein interactors with an APC of 2 or more, as well as less than 20% of the APC identified in the WT immunoprecipitation were considered to be unique interactors with Ali1-GFP. These potential protein interactors are prioritized by APC (most to least) and percentage of APC identified in the WT control (lowest to highest). Download Table S4, XLS file, 0.03 MB (35KB, xls) .

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TABLE S5

The 62 biologically relevant proteins identified as potential interactors of Ali1-GFP in TC medium. The average peptide count (APC) was calculated by averaging the exclusive unique peptide counts for each potential interactor across three biological replicates. The percentage of APC identified in the WT immunoprecipitation was calculated by dividing the APC of each potential interactor by the exclusive unique peptide count found in the WT immunoprecipitation. All potential protein interactors with an APC of 2 or more, as well as less than 20% of the APC identified in the WT immunoprecipitation, were considered to be unique interactors with Ali1-GFP. These potential protein interactors are prioritized by APC (most to least) and percentage of APC identified in the WT control (lowest to highest). Download Table S5, XLS file, 0.03 MB (35.5KB, xls) .

Copyright © 2019 Telzrow et al.

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We observed that the Ali1-GFP protein interactome, under both YPD and TC conditions, was enriched in proteins involved in two biological processes, protein localization/stability and lipid metabolism. Enrichment of proteins involved in protein localization/stability, such as ubiquitination proteins, has been reported for arrestins in other organisms, particularly arrestins that perform adaptor functions (1, 11, 12, 35). Ubiquitination proteins were found under both conditions but were more highly represented under TC conditions along with various proteasome subunits (Tables 1, 2, S4, and S5). Supporting our Ali1-GFP localization observations, the septin proteins Cdc10, Cdc11, and Cdc12 were also identified at low abundances, indicating potential transient interactions with Ali1-GFP (Table S3). Interestingly, in addition to protein localization/stability, the interactome of Ali1-GFP was highly enriched in proteins involved in lipid metabolism. Multiple proteins involved in lipid synthesis and degradation were identified under both YPD and TC conditions. Specifically, the fatty acid synthase β subunit Fas1 was the overall strongest potential interactor under both conditions (Tables 1 and 2). The enzymatic partner of Fas1, the fatty acid synthase α subunit Fas2, was also identified at very high abundances under both YPD and TC conditions (Tables 1 and 2). The observation that Fas1 and Fas2 were the most abundant interactors in multiple, independent experiments conducted under both YPD and TC conditions, as well as the fact that previous proteomic experiments we have conducted with other proteins of interest did not find enrichment of the fatty acid synthases, suggest that Fas1 and Fas2 are true, specific interactors of Ali1 (26). These data indicate that Ali1 may be involved in the regulation of localized lipid production at the developing septum and poles of budding cells, assisting in efficient cytokinesis, especially under stressful growth conditions.

The ali1Δ mutant has impaired cell surface integrity that is rescued by lipid precursor supplementation.

Using the data collected from the Ali1-GFP proteomic screen, we further explored the mechanism by which Ali1 regulates cytokinesis. As previously discussed, we identified many potential interactors of Ali1-GFP involved in lipid metabolism, a process that is essential for proper synthesis and organization of the cell surface, specifically, the cell membrane. Therefore, we assessed the cell surface integrity of the ali1Δ mutant. We incubated the WT strain, the ali1Δ mutant, and the ali1Δ + ALI1 strain at 30°C in the presence of various cell surface stressors, as follows: calcofluor white, Congo red, SDS, and caffeine (3639). The ali1Δ mutant exhibits modest susceptibility to caffeine, a cell surface stressor that serves as a marker of cell surface integrity, when incubated at 30°C (Fig. 4A) (40, 41). This phenotype is drastically enhanced when the ali1Δ mutant is incubated at the more stressful temperature of 37°C (Fig. 4B). At both temperatures, this sensitivity is rescued by complementation with the WT ALI1 allele, indicating likely alterations to the ali1Δ mutant cell surface.

FIG 4.

FIG 4

The effects of lipid supplementation on the ali1Δ mutant. Serial dilutions of the WT, ali1Δ mutant, and ali1Δ + ALI1 strains were incubated on YPD medium; YPD with caffeine (1 mg/ml); YPD with caffeine, ox bile (10 mg/ml), and Tween 60 (1%); and YPD with caffeine and glycerol (0.4%). (A and B) These strains were incubated at 30°C (A) and 37°C (B) and monitored visually for growth.

As well as its role as a cell surface stressor, caffeine is an inhibitor of the target of rapamycin complex 1 (TORC1) (36, 40). To determine if Ali1 functions in a pathway related to TORC1 function, we assessed the sensitivity of the ali1Δ mutant strain to rapamycin. We observed a 2-fold decrease in the rapamycin MIC for the ali1Δ mutant compared to the WT strain at both 30°C (ali1Δ MIC50, 1.56 ng/ml; WT MIC50, 3.12 ng/ml) and 37°C (ali1Δ MIC50, 0.78 ng/ml; WT MIC50, 1.56 ng/ml). Inhibition of TORC1 induces autophagy in yeast (42). If caffeine-mediated inhibition of TORC1 is more effective in the ali1Δ mutant than in the WT strain, causing the ali1Δ mutant to display caffeine sensitivity, the ali1Δ mutant should be more susceptible to inducers of autophagy than the WT strain. Given the minimal change in rapamycin sensitivity of the ali1Δ mutant, we assessed the ability of the ali1Δ mutant strain to survive in nitrogen deprivation, a known inducer of autophagy (43). We incubated the WT strain, the ali1Δ mutant strain, and the ali1Δ + ALI1 strain on synthetic low-ammonium dextrose (SLAD) medium at 30°C and 37°C. We observed that all strains displayed similar growth kinetics (data not shown). These data suggest that the caffeine sensitivity of the ali1Δ mutant is not due to dysregulation of autophagy, and that Ali1 likely does not directly function in a TORC1-related pathway.

In addition to the observation that the two strongest potential interactors of Ali1-GFP were Fas1 and Fas2, we also found that the fatty acid synthase inhibitor cerulenin is slightly more active against the ali1Δ mutant (MIC50, 0.15 μg/ml) than against the WT strain (MIC50, 0.3 μg/ml). From these data, we hypothesized that the caffeine susceptibility of the ali1Δ mutant may be caused by impaired lipid synthesis. We supplemented the caffeine medium with various compounds involved in lipid synthesis and utilization, medium additions that are frequently used to support the in vitro growth of lipid auxotrophic fungi such as Malassezia species (44). The addition of ox bile (10 mg/ml), which aids in the degradation and absorption of lipids, and Tween 60 (1%), which serves as an emulsifier, rescued the caffeine sensitivity of the ali1Δ mutant at 30°C but not at 37°C (Fig. 4). The addition of glycerol (0.4%), a precursor for phospholipids and triglycerides, completely rescued the caffeine sensitivity of the ali1Δ mutant at both 30°C and 37°C (Fig. 4). In order to eliminate the possibility that glycerol was solely providing osmotic support that allowed for the ali1Δ mutant to overcome its caffeine sensitivity, we also supplemented the caffeine medium with sorbitol (1 M) and observed that it did not rescue the caffeine sensitivity of the ali1Δ mutant at either temperature (data not shown) (45, 46). Collectively, these observations indicate that lipid precursor supplementation is sufficient to suppress the caffeine sensitivity of the ali1Δ mutant, suggesting that the loss of cell surface integrity of the ali1Δ mutant is caused in part by impaired localized lipid synthesis and/or deposition, potentially at the site of cell separation.

The C. neoformans arrestin family supports virulence in vitro and in vivo.

Because we observed that the ali1Δ mutant exhibits phenotypes that are relevant to pathogenesis, specifically, cytokinesis defects at elevated temperature and sensitivity to the cell surface stressor caffeine, we hypothesized that Ali1 may support fungal virulence. As a preliminary assessment, we evaluated the ability of the ali1Δ mutant to survive and proliferate in an in vitro macrophage coculture system (26, 47, 48). We cocultured the WT strain, the ali1Δ mutant, and the ali1Δ + ALI1 strain for 24 h with J774A.1 murine macrophages. We observed that the ali1Δ mutant displays a moderate, reproducible reduction in its ability to survive in the presence of macrophages compared to the WT strain, a phenotype that is rescued by complementation with the WT ALI1 allele (Fig. 5A). We then performed in vivo studies in a murine inhalation model of cryptococcal infection (38, 48, 49). Following intranasal inoculation of C57BL/6 mice (n = 10) with 104 CFU of each strain, we observed no differences between the WT strain and the ali1Δ mutant in their abilities to cause lethal infection (Fig. 5B). From these results, we concluded that Ali1 has modest contributions to in vitro survival in the presence of macrophages but does not promote in vivo virulence in a murine inhalation infection model.

FIG 5.

FIG 5

Virulence contributions of the C. neoformans arrestin family. (A) The WT, ali1Δ mutant, and ali1Δ + ALI1 strains were coincubated with J774A.1 murine macrophages at a multiplicity of infection (MOI) of 1 for 24 h. Survival of the strains was assessed by quantitative culture, and the percentage of recovered CFU was normalized to the WT strain. This experiment was performed with six biological replicates (n = 6). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; ns, not significant). (B) Female C57BL/6 mice (n = 10) were intranasally inoculated with 104 CFU of the WT, ali1Δ mutant, or ali1Δ + ALI1 strain. Mouse survival was tracked for 50 days postinfection (log rank test). (C) The WT strain, the MATa KN99 strain, and three isogenic but independent arrestin null mutants (all also MATa) were coincubated with J774A.1 murine macrophages at an MOI of 1 for 24 h. Survival of the strains was assessed by quantitative culture, and the percentage of recovered CFU was normalized to the WT strain. This experiment was performed with four biological replicates (n = 4). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; *, P < 0.05; **, P < 0.01). (D) Female C57BL/6 mice (n = 10) were intranasally inoculated with 104 CFU of the WT strain and a representative arrestin null mutant, ali1Δ ali2Δ ali3Δ ali4Δ-#2 (CLT57). Mouse survival was tracked for 50 days postinfection (log rank test; ****, P < 0.0001).

Because the ali1Δ mutant individually does not exhibit significant virulence defects, we next determined whether the C. neoformans arrestin family collectively contributes to virulence. To do so, we utilized the ali1Δ ali2Δ ali3Δ ali4Δ mutants, referred to as the arrestin null mutants, in which all four known C. neoformans arrestins are ablated. Similar to our studies with the ali1Δ mutant, we evaluated the ability of three independent arrestin null mutants to survive and proliferate in an in vitro macrophage coculture system (26, 47, 48). To do so, we cocultured the WT strain, the MATa KN99 strain (which was used in genetic crosses to generate the arrestin null mutants), and three arrestin null mutants for 24 h with J774A.1 murine macrophages. We observed that all three arrestin null mutants exhibit a marked reduction in their abilities to survive in the presence of macrophages, compared to the WT strain and the MATa KN99 strain (Fig. 5C). A representative arrestin null mutant, ali1Δ ali2Δ ali3Δ ali4Δ-#2 (CLT57), was then assessed for virulence in the murine inhalation model (38, 48, 49). Following intranasal inoculation of C57BL/6 mice (n = 10) with 104 CFU of the WT strain or the arrestin null mutant, we observed that the arrestin null mutant displays a significant attenuation in virulence compared to the WT strain (Fig. 5D). Mice infected with the WT strain exhibited a median survival time of 28 days, while those infected with the arrestin null mutant exhibited a median survival time of 45.5 days (Fig. 5D). These data collectively indicate that the C. neoformans arrestin family contributes to both in vitro and in vivo virulence.

The C. neoformans arrestins likely serve distinct cellular functions.

In order to identify possible mechanisms by which the C. neoformans arrestin family contributes to virulence, we created individual ali1Δ, ali2Δ, ali3Δ, and ali4Δ loss-of-function mutants. Following strain confirmation, we assessed the growth kinetics of the arrestin mutants in the presence of various cellular stressors. Specifically, we incubated the WT strain, the individual arrestin mutants, and the arrestin null mutants in the presence of physiologically relevant stressors, such as elevated temperature (39°C), high salt (1.5 M NaCl), and alkaline pH (pH 8), as well as cell surface stressors such as caffeine (1 mg/ml) and SDS (0.03%) (25, 39, 40, 50). We observed that the individual arrestin mutants display distinct, but overlapping, phenotypes in the presence of these stressors (Fig. 6). All of these individual arrestin mutant phenotypes are rescued by complementation with the respective WT arrestin allele (Fig. S2).

FIG 6.

FIG 6

The C. neoformans arrestin mutant phenotypes. Serial dilutions of the WT strain, each individual arrestin mutant, and three independent arrestin null mutants were incubated on YPD medium with the following growth conditions/additives: 30°C, 39°C, caffeine (1 mg/ml), SDS (0.03%), high salt (1.5 M NaCl), and alkaline pH (pH 8). Cells were monitored visually for growth. The ali1Δ mutant exhibits modest susceptibility to caffeine. This phenotype is shared by, but markedly enhanced in, the ali2Δ mutant. The ali2Δ mutant also displays sensitivity to high salt. The ali3Δ mutant has modest growth defects at 39°C, as well as resistance to SDS. The ali4Δ mutant shares this SDS resistance phenotype, although it is enhanced compared to the ali3Δ mutant. The arrestin null mutants display reduced growth in the presence of 39°C, caffeine, and salt but enhanced growth in the presence of SDS and alkaline pH.

FIG S2

Complementation phenotypes of the individual arrestin mutants. (A) Serial dilutions of the WT, ali2Δ mutant, and the ali2Δ + ALI2-GFP strains were incubated on YPD medium, YPD with caffeine (1 mg/ml), and YPD with high salt (1.5 M NaCl). These strains were incubated at 30°C and monitored visually for growth. (B) Serial dilutions of the WT, ali3Δ mutant, and the ali3Δ + ALI3 strains were incubated on YPD medium incubated at 30°C, YPD medium incubated at 39°C, and YPD with SDS (0.03%) incubated at 30°C. These strains were monitored visually for growth. (C) Serial dilutions of the WT, ali4Δ mutant, and the ali4Δ + ALI4 strains were incubated on YPD medium and YPD with SDS (0.03%). These strains were incubated at 30°C and monitored visually for growth. Download FIG S2, TIF file, 1.3 MB (1.3MB, tif) .

Copyright © 2019 Telzrow et al.

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Because we observed that the ali2Δ mutant has an enhanced caffeine sensitivity phenotype compared to the ali1Δ mutant, we hypothesized that the ali2Δ mutant would display more severe virulence defects than the ali1Δ mutant. To test this hypothesis, we cocultured the WT strain, the ali2Δ mutant, the ali2Δ + ALI2-GFP strain, and an ali1Δ ali2Δ mutant for 24 h with J774A.1 murine macrophages. The ali2Δ mutant had a significant reduction in its ability to survive in the presence of macrophages compared to the WT strain, a phenotype that is rescued by complementation with the WT ALI2 allele (Fig. S3). The ali2Δ mutant survival rate (67%) is lower than what was observed for the ali1Δ mutant (79%) (Fig. 5A). Additionally, the ali1Δ ali2Δ mutant exhibits a more severe survival impairment (43%) than does either the ali1Δ mutant or ali2Δ mutant alone, indicating that Ali1 and Ali2 have additive effects that contribute to survival in the presence of macrophages.

FIG S3

Virulence contributions of Ali2. The WT, ali2Δ mutant, ali2Δ + ALI2-GFP, and ali1Δali2Δ mutant strains were coincubated with J774A.1 murine macrophages at a multiplicity of infection (MOI) of 1 for 24 hours. Survival of the strains was assessed by quantitative culture, and the percentage of recovered CFU was normalized to the WT strain. This experiment was performed with five biological replicates (n = 5). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; *, P < 0.05; ****, P < 0.0001; ns, not significant). Download FIG S3, TIF file, 0.3 MB (332.7KB, tif) .

Copyright © 2019 Telzrow et al.

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The arrestin null mutants share many phenotypes with the individual arrestin mutants, such as sensitivity to high temperature, caffeine, and high salt, as well as resistance to SDS (Fig. 6). Uniquely, the arrestin null mutants display a slight increase in growth rate in the presence of alkaline pH (Fig. 6). The most pronounced phenotypes of the arrestin null mutants, growth defects in the presence of high temperature and caffeine, were not rescued by glycerol (0.4%) supplementation but were partially rescued by osmotic support with sorbitol (1 M) supplementation (Fig. S4). These data suggest that the C. neoformans arrestin proteins likely perform distinct, nonredundant cellular functions that contribute to survival under physiologically relevant conditions and cell surface stability.

FIG S4

The effects of lipid supplementation on the arrestin null mutants. (A) Serial dilutions of the WT and arrestin null mutant strains were incubated on YPD medium at 30°C, YPD at 39°C, YPD with glycerol (0.4%) at 39°C, and YPD with sorbitol (1 M) at 39°C. These strains were monitored visually for growth. (B) Serial dilutions of the WT and arrestin null mutant strains were incubated on YPD medium, YPD with caffeine (1 mg/ml), YPD with caffeine and glycerol (0.4%), and YPD with caffeine and sorbitol (1 M). These strains were incubated at 30°C and monitored visually for growth. Download FIG S4, TIF file, 1.0 MB (981.5KB, tif) .

Copyright © 2019 Telzrow et al.

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DISCUSSION

Arrestins have been well characterized in model fungi systems.

The model ascomycete fungi, such as S. cerevisiae, Aspergillus nidulans, and Schizosaccharomyces pombe, all contain relatively large α-arrestin families of nine to 11 members (29). Based on the presence of the conserved arrestin domains, α-arrestins are predicted to exist in the other three major fungal groups, the basidiomycetes, the zygomycetes, and the chytrids (29). We used C. neoformans as a genetically tractable basidiomycete, with a relatively small arrestin family of four members, to more broadly characterize fungal α-arrestin functions, both individually and collectively. Additionally, because C. neoformans is a major human pathogen, we interrogated the functional contributions of fungal α-arrestins to virulence. The fact that the α-arrestins, despite lacking catalytic activity themselves, have remained present within all major fungal groups indicates that they are likely functionally important proteins within the fungal kingdom.

Ali1 is important for cytokinesis in the presence of cellular stress.

Septins are conserved GTP-binding proteins that create the septum in eukaryotes, often serving as scaffolds for other proteins that direct cell cycle progression (5153). In S. cerevisiae, the septin proteins assemble into filaments at the mother bud neck, creating the hourglass-shaped septum, and are required for normal cytokinesis (53). The C. neoformans septins have been shown to function similarly. C. neoformans septin mutants display cytokinesis defects when incubated at elevated temperatures and also display modest sensitivity to cell surface stressors such as caffeine and SDS (34).

We observed that Ali1 has cell cycle-associated localization, with enrichment at the septum and poles of budding cells. Our protein interactome analysis supported this observation, with multiple septin proteins, Cdc10, Cdc11, and Cdc12, identified at low levels in the Ali1-GFP immunoprecipitations. Protein-protein interactions with septin proteins are typically transient, potentially explaining the low APC for the septin proteins using this experimental approach (54). Additionally, we found that the ali1Δ mutant displays an increased incidence of cytokinesis defects at elevated temperature and sensitivity to the cell surface stressor caffeine, thus phenocopying the C. neoformans septin mutants (34). These data suggest that Ali1 is a regulator of cytokinesis that is particularly important in the presence of stress. Whole-transcriptome analyses of synchronized C. neoformans cells have shown that Ali1 expression is cyclic, or regulated with the cell cycle, with its peak expression occuring about 15 min prior to bud emergence (55). As a potential regulator of cytokinesis, this expression pattern would enable the ALI1 transcript to be transcribed, and the Ali1 protein to be translated and localize to the septum and poles as cell division is occuring.

In addition to and in collaboration with septins, Ras GTPases are conserved regulators of cell division in eukaryotes. Our laboratory has shown that the C. neoformans Ras1 protein directs polarized growth and actin polarization, particular in the presence of stress (22, 23, 33). When Ras1 is inhibited, septins are unable to organize at the septum to perform their scaffolding functions, and cells display morphological and cytokinesis defects (23). We demonstrated that in the absence of Ras1, Ali1 localization to the septum and poles is impaired. This observation indicates that the cell cycle-regulated localization of Ali1 is dependent on Ras1.

Ali1 likely fulfills an adaptor role aiding cytokinesis.

Cytokinesis is a highly organized and regulated process in fungi. In S. cerevisiae, cell wall enzymes, such as the β(1-3)-glucan synthases and the chitin synthases, localize to the septum and poles to help build the septum and cell wall during cell division. (5658). It is believed that C. neoformans also directs cytokinesis similarly. For example, C. neoformans cells lacking Chs3, a chitin synthase, or Ags1, the α(1-3)-glucan synthase, display cytokinesis defects during budding (59, 60). Similar to the cell wall, the cell membrane must be remodeled to aid in bud growth and cytokinesis in fungi. To our knowledge, little work has focused on the degradation and rebuilding of the fungal cell membrane during cytokinesis. However, in the bacterium Mycobacterium tuberculosis, fatty acid synthase proteins localize to the poles and septum to synthesize the mycomembrane during cell division (61).

Fungal fatty acid synthases, which belong to the microbial type I fatty acid synthase family, are cytosolic multienzymes that heterodimerize to form hexamers (α6β6) (6264). Once in this complex, they employ their individual component enzymes to synthesize de novo a diversity of lipid products that are used for cellular metabolism, signaling, and biological membranes. In C. neoformans, Fas1 and Fas2 are required for viability under standard laboratory conditions and are targets of the fatty acid synthase inhibitor cerulenin (65). Through our protein interactome analysis, we found that the two strongest potential interactors of Ali1 are Fas1 and Fas2. We tested the sensitivity of the ali1Δ mutant to cerulenin and observed that the ali1Δ mutant strain is slightly more sensitive to cerulenin than was the WT strain. In conjunction with these data, we observed that the ali1Δ mutant displays sensitivity to the cell surface stressor caffeine, which is enhanced in the presence of temperature stress. In addition to its roles as a cell surface stressor, caffeine is believed to inhibit TORC1 (36, 40). The caffeine sensitivity of the ali1Δ mutant may be explained by the fact that TORC1 is an upstream activator of lipid synthesis genes in eukaryotes, including fatty acid synthases (6668). Supplementation with exogenous lipid precursors, but not the osmotic stabilizer sorbitol, may reverse the caffeine sensitivity of the ali1Δ mutant by compensating for an insufficiency in substrates used to synthesize cellular membranes. These data collectively suggest that Ali1 is required for complete Fas1 and Fas2 function.

The S. pombe α-arrestin Art1 regulates cytokinesis through its adaptor function (69). Art1 is required for the localization of Rgf3, the guanine nucleotide exchange factor for the regulatory subunit of the β-glucan synthase, Rho1, to the septum, likely so that it can help build the septum. Our data suggest that Ali1 functions similarly to Art1. We hypothesize that Ali1 acts as an adaptor for Fas1 and Fas2, aiding in their localization to the septum and poles, so that they can rebuild the cell membrane during cytokinesis (Fig. 7). In the absence of Ali1, cells are left with small, localized defects in the cell surface because they are unable to repair the membrane, or are delayed in membrane repair, compared to WT cells, particularly in the presence of stress. This results in the cytokinesis and cell surface defects observed in the ali1Δ mutant. Previous works in both mammals and fungi have demonstrated the importance of fatty acid synthesis for progression through the cell cycle (7072). Additionally, the mechanism by which Ali1 is able to perform its adaptor function for Fas1 and Fas2 may be ubiquitin mediated, through interactions with the E3 ubiquitin ligase RspV (Fig. 7). Ali1 contains four potential ubiquitin ligase binding sites, or PxY sites. We also observed that Ali1 interacts with multiple ubiquitination proteins, including E1, E2, and E3 proteins, particularly under TC conditions (73). Ubiquitination is most often considered in the context of proteasomal degradation, but it can also direct diverse subcellular localizations (7476).

FIG 7.

FIG 7

Working model of Ali1 adaptor function. We propose that Ali1 (yellow/blue) acts as an adaptor protein to aid in the localization of the Fas1 and Fas2 fatty acid synthase complex (red) to the septum and poles of actively dividing cells, possibly in a ubiquitin-mediated manner through interactions with the E3 ubiquitin ligase Rsp5 (green). This process occurs to help meet the increased, stress-induced need for lipid synthesis and deposition at these sites. In the ali1Δ mutant strain, Fas1 and Fas2 are unable to localize, or are delayed in their localization, to the septum and poles during cell division. As a result, lipid synthesis and deposition at these sites is impaired. This causes localized cell surface defects at the poles in the resulting cells, likely explaining the cytokinesis defects and caffeine sensitivity phenotypes of the ali1Δ mutant.

Future investigations can explore the interactions between Ali1 and the fatty acid synthases Fas1 and Fas2. Additionally, the localizations of Fas1 and Fas2 in the WT and the ali1Δ mutant backgrounds can also be assessed. However, it is possible that it may be difficult to draw conclusions from these experiments. Fas1 and Fas2 are abundant, diffusely cytosolic proteins in S. cerevisiae (77). If this is also the case for C. neoformans, it may be challenging to observe any transient interactions or enrichments of these proteins at the septum and poles.

The C. neoformans arrestin family contributes to virulence.

Upon infection, pathogens must regulate their adaptive cellular responses to acclimate to the stressors of the host environment. Work largely conducted in ascomycete fungi has demonstrated that the disruption of α-arrestin-regulated adaptive cellular responses is detrimental for fungal survival and pathogenesis. For example, the α-arrestin Rim8 scaffolds the Rim alkaline pH response pathway in Candida albicans, and the rim8Δ mutant displays attenuation in a murine model of systemic candidiasis, indicating that Rim8 is required for adaptation to the host environment (78). Given many investigations demonstrating that human arrestin proteins regulate cellular processes that are involved in human disease, we propose that fungal arrestins similarly regulate fungal adaptive cellular responses important for disease establishment and progression (7982).

This study directly investigates the virulence contributions of fungal α-arrestins. Implementing a murine inhalation model of cryptococcal infection, we observed that the individual ali1Δ mutant does not display virulence attenuation but that the arrestin null mutant exhibits a significant delay in its ability to cause fatal disease. These data suggest that the arrestins collectively are involved in adaptation to the host environment in C. neoformans. Since we observed that the ali2Δ mutant displays more severe attenuation in its ability to survive in the presence of macrophages than does the ali1Δ mutant, we propose that Ali2 is a compelling subject for future investigations. Additionally, because the arrestin mutants have distinct phenotypes in the presence of different cellular stressors, and because the C. neoformans arrestin family is very small, we hypothesize that the C. neoformans arrestins have distinct cellular functions that contribute to adaptation to the host. Functional redundancy has been observed for mammalian and fungal arrestins; therefore, it is possible that the C. neoformans arrestins could have some degree of overlapping functions while maintaining protein-specific activities as well (19, 83).

We have demonstrated that the C. neoformans arrestin family contains four members that share little primary amino acid sequence conservation with human arrestins. These fungus-specific proteins likely mediate various cellular functions, including efficient progression through the cell cycle, especially under stressful growth conditions. Fungal arrestins therefore offer unique insight into mechanisms of stress response and cellular adaptation in this diverse group of eukaryotes.

MATERIALS AND METHODS

Strains, media, and growth conditions.

All strains used in this study were generated in the C. neoformans var. grubii H99 (MATα) or KN99 (MATa) backgrounds and are included in Table 3. The ali3 and ali4 mutants were obtained from the Madhani, 2015 plate collection from the Fungal Genetics Stock Center. Strains were maintained on yeast extract-peptone-dextrose (YPD) medium (1% yeast extract, 2% peptone, 2% dextrose, and 2% agar for solid medium). To regulate RAS1 expression, yeast extract-peptone-galactose (YPGal) medium (1% yeast extract, 2% peptone, and 3% galactose) was utilized (23). CO2-independent tissue culture (TC) medium (Gibco) was used to mimic an in vivo environment, as described previously (84). To assess mutant strain cell surface phenotypes, NaCl (1.5 M) and Congo red (0.5%) were added to YPD medium before autoclaving, while caffeine (1 mg/ml), calcofluor white (1 mg/ml), and SDS (0.03%) were filter sterilized and added to the YPD medium after autoclaving (38). Synthetic low-ammonium dextrose (SLAD) medium (0.17% yeast nitrogen base without amino acids and without ammonium sulfate, 50 μM ammonium sulfate, 2% dextrose, and 2% agar) was used as a nitrogen deprivation medium to induce autophagy. Lipid precursor supplementation was achieved by adding ox bile (10 mg/ml; HiMedia Labs) and Tween 60 (1%) to the medium before autoclaving, or by adding sterile glycerol (0.4%) to the medium after autoclaving. Sorbitol supplementation was achieved by adding sorbitol (1 M) to the medium before autoclaving. Alkaline pH plates were made by adding 150 mM HEPES buffer to the YPD medium and adjusting the pH to 8.15 with NaOH prior to autoclaving (25). Unless otherwise indicated, strains were incubated at 30°C.

TABLE 3.

Strains used in this study

Strain Genotype Reference or source
H99 MATα 93
KN99a MATa 94
KS120 MATα ali1Δ::NEO 25
CLT6 MATα ali1Δ::NEO + ALI1-NAT This study
CLT7 MATα ali1Δ::NEO + H-ALI1-GFP-NAT This study
CBN327 MATa GAL7-mCherry-RAS1-NEO This study
CBN486 MATα ali1Δ::NEO + H-ALI1-GFP-NAT + GAL7-mCherry-RAS1-NEO This study
LK001 MATα CDC10-mCherry-NEO 34
CLT42 MATα ali1Δ::NAT + CDC10-mCherry-NEO This study
KS96-2 MATα ali2Δ::NAT 25
CLT67 MATα ali2Δ::NAT + ALI2-GFP-NEO This study
CLT8 MATα ali3Δ::NAT Madhani, 2015
CLT32 MATa ali3Δ::NAT This study
CLT62 MATα ali3Δ::NAT + ALI3-NEO This study
CLT9 MATα ali4Δ::NAT Madhani, 2015
CLT63 MATα ali4Δ::NAT + ALI4-NEO This study
KS97-2 MATα ali1Δ::NEO + ali2Δ::NAT 25
CLT35 MATa ali3Δ::NAT + ali4Δ::NAT This study
CLT56 MATa ali1Δ::NEO + ali2Δ::NAT + ali3Δ::NAT + ali4Δ::NAT #1 This study
CLT57 MATa ali1Δ::NEO + ali2Δ::NAT + ali3Δ::NAT + ali4Δ::NAT #2 This study
CLT58 MATa ali1Δ::NEO + ali2Δ::NAT + ali3Δ::NAT + ali4Δ::NAT #3 This study

Molecular biology and strain construction.

All plasmids used in this study are listed in Table 4. All primers utilized in this study are listed in Table 5. All strains were generated by biolistic transformation, unless otherwise described (85). Detailed methods for the construction of all strains used in this study are included in File S1 in the supplemental material (8688).

TABLE 4.

Plasmids used in this study

Plasmid ORFa Backbone Reference or source
pJAF Neomycin resistance cassette (NEO) 95
pCH233 Nourseothricin resistance cassette (NAT) 96
pCT1 ALI1 (including promoter and terminator) NAT pCH233 This study
pCN20 Histone H3 promoter, NAT pCH233 97
pKS85 Histone H3 promoter, RRA1 GFP RRA1 (terminator only) NAT pCH233 26
pCT3 Histone H3 promoter, ALI1 GFP RRA1 (terminator only) NAT pUC19 This study
pCT11 ALI2 (including promoter) GFP FKS1 (terminator only) NEO pUC19 This study
pCT8 ALI3 (including promoter and terminator) NEO pJAF This study
pCT10 ALI4 (including promoter and terminator) NEO pJAF This study
a

ORF, open reading frame.

TABLE 5.

Primers used in this study

Primer name by function Primer sequence (5′–3′) Purpose
Deletion constructs
    AA3254 GAGGACTACTTGGGCGTCAA ali1Δ primer 1
    AA3255 GTCATAGCTGTTTCCTGCTGTCGGACCGTGTTTATCG ali1Δ primer 2
    AA3256 CGATAAACACGGTCCGACAGCAGGAAACAGCTATGAC ali1Δ primer 3
    AA3257 ATATTATAAGTTAGAGGTTAGGTTTTCCCAGTCACGAC ali1Δ primer 4
    AA3258 GTCGTGACTGGGAAAACCTAACCTCTAACTTATAATAT ali1Δ primer 5
    AA3259 GGACGGGAGTGTAATGAGGA ali1Δ primer 6
    AA3505 CTGAGCGGTGTCCTTTTCTC ali2Δ primer 1
    AA3506 GTCATAGCTGTTTCCTGGGTGTGGGTGTGGTTGTCGTGGT ali2Δ primer 2
    AA3507 ACCACGACAACCACACCCACACCCAGGAAACAGCTATGAC ali2Δ primer 3
    AA3508 GTATATCTAGATTGAACAACTAAGTTTTCCCAGTCACGAC ali2Δ primer 4
    AA3509 GTCGTGACTGGGAAAACTTAGTTGTTCAATCTAGATATAC ali2Δ primer 5
    AA3510 TTTCAGTTCCGAGGTGCTCT ali2Δ primer 6
    AA4096 AAGGTGTTCCCCGACGACGAATCG NAT split marker F
    AA4097 AACTCCGTCGCGAGCCCCATCAAC NAT split marker R
    AA3934 TCGATGCGATGTTTCGCT NEO split marker F
    AA3935 CCTGAATGAACTGCAGGA NEO split marker R
Cloning
    AA5124 TACCGAGCTCGGATCCGTGTCGTTAGCGGACTCGGTATCT ALI1 fragment F
    AA5125 CGTTACTAGTGGATCCTCCGCTACATAACCACCATCCCTG ALI1 fragment R
    AA5192 GAGCTCGGTACCCGGGGATCGGCAGATACGATATGTTGGCGC ALI1-GFP fragment 1 F
    AA5185 GAGAGGGCATGGTGATAGATGTGTTGTGGTGTTG ALI1-GFP fragment 1 R
    AA5186 ATCTATCACCATGCCCTCTCGTTGGATCCCAAGC ALI1-GFP fragment 2 F
    AA5187 TGCTCACCATTGCTCCTGTCGGCGCCCC ALI1-GFP fragment 2 R
    AA5188 GACAGGAGCAATGGTGAGCAAGGGCGAGG ALI1-GFP fragment 3 F
    AA5204 CAGGTCGACTCTAGAGGATCCTGCGAGGATGTGAGCTGG ALI1-GFP fragment 3 R
    AA5518 AATTCGAGCTCGGTACCCGGGGATCGACCATCAACGCCAGCGTATTAAC ALI2-GFP fragment 1 F
    AA5519 CTTGCTCACCATATCTCTGAGCCTGTTGCGG ALI2-GFP fragment 1 R
    AA5520 CAGGCTCAGAGATATGGTGAGCAAGGGCGAG ALI2-GFP fragment 2 F
    AA5521 GCCTGCAGGTCGACTCTAGAGGATCCTGCGAGGATGTGAGCTG ALI2-GFP fragment 2 R
    AA4424 GATCCTCTAGAGTCGACCTG pUC19 F
    AA4425 GATCCCCGGGTACCGAGCTC pUC19 R
    AA5415 CGTCGCACTAGTATTGTGTAGCGGCGCTATAGTG ALI3 fragment F
    AA5416 CGTCGCACTAGTCAAGAATGGTGACACTGCCAAC ALI3 fragment R
    AA5417 CGTCGCACTAGTTTCTCCTTGCGGAGGCTTATTAG ALI4 fragment F
    AA5418 CGTCGCACTAGTACAACTACAGCTCTGGCATCTAG ALI4 fragment R
FILE S1

Supplemental materials and methods. Download FILE S1, DOCX file, 0.1 MB (20.2KB, docx) .

Copyright © 2019 Telzrow et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

BLAST analyses.

To identify homology between the C. neoformans arrestins and those in S. cerevisiae and humans, the Basic Local Alignment Search Tool (BLAST; NCBI) was used. The protein sequences of each of the C. neoformans arrestins was searched against the S. cerevisiae S288C (taxid:559292) and human (taxid:9606) proteomes using the default parameters for protein-protein BLAST (BLASTp) and Position-Specific Iterated BLAST (PSI-BLAST) (3032). Alignments considered significant, i.e., those with E values less than 1, are included in Tables S1 and S2 (S. cerevisiae and human, respectively).

Fluorescent and light microscopy.

All images in this study (differential interference contrast [DIC] and fluorescent) were captured using a Zeiss Axio Imager A1 microscope equipped with an Axio‐Cam MRm digital camera. To assess the subcellular localization of Ali1-GFP, the WT (H99) strain and the Ali1-GFP (CLT7) strain were incubated for 18 h with shaking at 150 rpm in YPD medium at 30°C or TC medium at 37°C. Cells were then pelleted, washed with phosphate-buffered saline (PBS), and imaged.

To measure the frequency of cell cycle-associated localization of Ali1-GFP in the presence and absence of Ras1, the Ali1-GFP + mCherry-Ras1 (CBN486) strain was incubated for 18 h at 30°C with shaking at 150 rpm in YPGal medium. Cells were pelleted, washed three times with PBS, normalized by spectrophotometry, and then resuspended to an optical density at 600 nm (OD600) of 0.2 in either YPGal medium (to induce RAS1 expression) or YPD medium (to repress RAS1 expression) for 18 h at 30°C with shaking at 150 rpm (23). Cells were then pelleted, washed with PBS, and imaged. The results are reported as the average percentage (± standard error of the mean [SEM]) of actively budding cells that displayed Ali1-GFP localization to the septum and/or poles. Statistical significance was determined using Student's t test (GraphPad Software, San Diego, CA). A minimum of 600 cells were analyzed under both YPGal and YPD conditions across three biological replicates using the ImageJ software (Fiji) (89, 90).

To analyze the morphology of the ali1Δ mutant cells, the WT (H99), ali1Δ mutant (KS120), and ali1Δ + ALI1 mutant (CLT6) strains were incubated for 18 h at 30°C with shaking at 150 rpm in YPD medium. An OD of approximately 0.2 for each strain was transferred to fresh YPD medium and subsequently incubated at either 30°C or 39°C for 18 h with shaking at 150 rpm. Cells were then pelleted, washed with PBS, and imaged. The results are reported as the average percentage (± SEM) of total cells displaying morphological defects. Statistical significance was determined using one-way analysis of variance (ANOVA) and the Tukey-Kramer test (GraphPad Software, San Diego, CA). A minimum of 600 cells were analyzed across three biological replicates using the ImageJ software (Fiji) (89, 90).

To assess whether Ali1 is required for septin protein localization, the Cdc10-mCherry (LK001) strain and the Cdc10-mCherry + ali1Δ (CLT42) strain were incubated for 18 h at either 30°C or 37°C with shaking at 150 rpm in YPD medium. Cells were then pelleted, washed with PBS, and imaged.

Protein isolation, membrane fractionation, and Western blotting.

For all protein experiments, protein extracts were prepared as previously described (25, 26). Briefly, the WT (H99) and the Ali1-GFP (CLT7) strains were incubated for 18 h at 30°C with 150 rpm shaking in YPD medium. Cells were pelleted, flash frozen on dry ice, and lysed by bead beating. The crude lysate was cleared by centrifugation at 2,500 × g at 4°C for 5 min, and the supernatant (total cell lysate) was transferred to a new tube. Total cell lysate protein concentrations were measured using a bicinchoninic acid assay (BCA).

To determine the relative abundance of Ali1 in different cellular fractions, the WT (H99) and Ali1-GFP (CLT7) strains were incubated and lysed as described above. Total cell lysates (T) were separated by ultracentrifugation at 30,000 × g for 1 h at 4°C (27). The soluble fraction (S) was transferred to a new tube, and the insoluble pellet (I) was resuspended in an equivalent volume of lysis buffer containing 1% Triton X‐100. All samples were normalized by total protein concentration. Western blots were performed as described previously using an anti‐GFP primary antibody (1/5,000 dilution; Roche), followed by an anti‐mouse peroxidase‐conjugated secondary antibody (1/25,000 dilution; Jackson Laboratory). Proteins were detected by enhanced chemiluminescence (ECL Prime Western blotting detection reagent; GE Healthcare).

Proteomic experiment preparation and analysis.

Proteomic analysis was performed with a single replicate for the WT (H99) strain under both YPD and TC conditions, and in triplicate for the Ali1-GFP (CLT7) strain under both YPD and TC conditions. To prepare total cell lysates for this experiment, the WT (H99) strain and the Ali1-GFP (CLT7) strain were incubated for 18 h at 30°C with shaking at 150 rpm in YPD medium. Both strains were normalized to an OD600 of 1, resuspended in either YPD or TC medium, and then incubated for 3 h at 30°C with 150 rpm. Cells were pelleted and lysed as described above to extract total cell lysates. Immunoprecipitations from total cell lysates were performed by the addition of 25 μl GFP-Trap resin (Chromotek) and inversion at 4°C for 2 h. Mass spectrometry analysis was performed on immunoprecipitations by the Duke Proteomics Core Facility, as described previously (26). A description of this analysis is included in File S1.

We prioritized hits from this proteomic analysis to enrich for proteins with stronger potential interactions with Ali1-GFP. First, we averaged the exclusive unique peptide counts (APC) for each potential interactor identified under YPD or TC conditions, and subsequently selected those that had an APC of 2 or more for further analysis. We then calculated the percentage of the APC that was identified in the respective WT immunoprecipitation for each potential protein interactor. Those proteins that had less than 20% of the APC identified in the respective WT immunoprecipitation were determined to be unique interactors of Ali1-GFP. All proteins identified using this prioritization scheme under YPD and TC conditions can be found in Tables S4 and S5, respectively. All 1,122 identified proteins, except for those not belonging to C. neoformans, are included in Table S3.

Macrophage coculture experiments.

The ability of strains to survive in the presence of macrophages was assessed as previously described (26). Briefly, 105 J774.1 macrophages were incubated with 105 opsonized fungal cells of the WT (H99), KN99a, and ali1Δ (KS120), ali1Δ + ALI1 (CLT6), ali2Δ (KS96-2), ali2Δ + ALI2-GFP (CLT67), ali1Δali2Δ (KS97-2), and arrestin null (CLT56, CLT57, and CLT58) mutants. Cocultures of J774.1 macrophages and phagocytosed fungal cells were incubated for 24 h at 37°C with 5% CO2. Phagocytosed fungal cells were collected, serially diluted, and plated onto YPD agar to assess the number of viable C. neoformans cells by quantitative culture. The results are reported as the average percentage (± SEM) of recovered CFU, normalized to the WT (H99) strain, generated from at least 4 biological replicates. Statistical significance was determined using one-way analysis of variance (ANOVA) and the Tukey-Kramer test (GraphPad Software, San Diego, CA).

Mouse survival experiments.

The murine inhalation model of cryptococcosis was used to assess virulence of the strains in this study (49). C57BL/6 female mice were acquired from Charles River Laboratories. Mice were anesthetized with 2% isoflurane utilizing a rodent anesthesia device (Eagle Eye Anesthesia, Jacksonville, FL) and were infected via the intranasal route with 104 CFU of either the WT (H99) strain, the ali1Δ (KS120) mutant, the ali1Δ + ALI1 (CLT6) strain, or an arrestin null (CLT57) mutant in 30 μl of sterile PBS. Mice (n = 10) were monitored twice daily and sacrificed if moribund. Survival data were statistically analyzed using a log rank test (GraphPad Software, San Diego, CA). Animal experiments were approved by The University of Texas at San Antonio Institutional Animal Care and Use Committee (IACUC), and mice were handled according to IACUC guidelines.

MIC testing.

To measure strain susceptibilities to rapamycin and cerulenin, MIC testing was performed using species-specific modifications to standard CLSI testing methods for broth microdilution testing of antifungal susceptibility (91, 92). A detailed description of this method is described in File S1.

ACKNOWLEDGMENTS

This work was supported by NIH R01 grant AI074677 (to J.A.A.). We also acknowledge the Madhani laboratory at UCSF and NIH funding grant R01AI100272 for the publicly available deletion mutant collections in C. neoformans (Fungal Genetics Stock Center, 2015/2016 Madhani plates).

We thank the Duke Proteomics Core Facility for assistance with our proteomic experiments.

Footnotes

This article is a direct contribution from J. Andrew Alspaugh, a Fellow of the American Academy of Microbiology, who arranged for and secured reviews by Damian Krysan, University of Iowa Hospitals and Clinics, and Xiaorong Lin, University of Georgia.

Citation Telzrow CL, Nichols CB, Castro-Lopez N, Wormley FL, Jr, Alspaugh JA. 2019. A fungal arrestin protein contributes to cell cycle progression and pathogenesis. mBio 10:e02682-19. https://doi.org/10.1128/mBio.02682-19.

REFERENCES

  • 1.Shenoy SK, Lefkowitz RJ. 2011. β-Arrestin-mediated receptor trafficking and signal transduction. Trends Pharmacol Sci 32:521–533. doi: 10.1016/j.tips.2011.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Patwari P, Lee RT. 2012. An expanded family of arrestins regulate metabolism. Trends Endocrinol Metab 23:216–222. doi: 10.1016/j.tem.2012.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Puca L, Brou C. 2014. α-Arrestins–new players in Notch and GPCR signaling pathways in mammals. J Cell Sci 127:1359–1367. doi: 10.1242/jcs.142539. [DOI] [PubMed] [Google Scholar]
  • 4.Peterson YK, Luttrell LM. 2017. The diverse roles of arrestin scaffolds in G protein-coupled receptor signaling. Pharmacol Rev 69:256–297. doi: 10.1124/pr.116.013367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Alvarez CE. 2008. On the origins of arrestin and rhodopsin. BMC Evol Biol 8:222–213. doi: 10.1186/1471-2148-8-222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Aubry L, Guetta D, Klein G. 2009. The arrestin fold: variations on a theme. Curr Genomics 10:133–142. doi: 10.2174/138920209787847014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kühn H, Hall SW, Wilden U. 1984. Light-induced binding of 48-kDa protein to photoreceptor membranes is highly enhanced by phosphorylation of rhodopsin. FEBS Lett 176:473–478. doi: 10.1016/0014-5793(84)81221-1. [DOI] [PubMed] [Google Scholar]
  • 8.Zuckerman R, Cheasty JE. 1986. A 48 kDa protein arrests cGMP phosphodiesterase activation in retinal rod disk membranes. FEBS Lett 207:35–41. doi: 10.1016/0014-5793(86)80008-4. [DOI] [PubMed] [Google Scholar]
  • 9.Benovic JL, Kühn H, Weyand I, Codina J, Caron MG, Lefkowitz RJ. 1987. Functional desensitization of the isolated β-adrenergic receptor by the β-adrenergic receptor kinase: potential role of an analog of the retinal protein arrestin (48-kDa protein). Proc Natl Acad Sci U S A 84:8879–8882. doi: 10.1073/pnas.84.24.8879. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Li W, Mitchell AP. 1997. Proteolytic activation of Rim1p, a positive regulator of yeast sporulation and invasive growth. Genetics 145:63–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Boase NA, Kelly JM. 2004. A role for creD, a carbon catabolite repression gene from Aspergillus nidulans, in ubiquitination. Mol Microbiol 53:929–940. doi: 10.1111/j.1365-2958.2004.04172.x. [DOI] [PubMed] [Google Scholar]
  • 12.Lin CH, MacGurn JA, Chu T, Stefan CJ, Emr SD. 2008. Arrestin-related ubiquitin-ligase adaptors regulate endocytosis and protein turnover at the cell surface. Cell 135:714–725. doi: 10.1016/j.cell.2008.09.025. [DOI] [PubMed] [Google Scholar]
  • 13.Alvaro CG, O'Donnell AF, Prosser DC, Augustine AA, Goldman A, Brodsky JL, Cyert MS, Wendland B, Thorner J. 2014. Specific α-arrestins negatively regulate Saccharomyces cerevisiae pheromone response by down-modulating the G-protein-coupled receptor Ste2. Mol Cell Biol 34:2660–2681. doi: 10.1128/MCB.00230-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Prosser DC, Pannunzio AE, Brodsky JL, Thorner J, Wendland B, O'Donnell AF. 2015. α-Arrestins participate in cargo selection for both clathrin-independent and clathrin-mediated endocytosis. J Cell Sci 128:4220–4234. doi: 10.1242/jcs.175372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Herrador A, Herranz S, Lara D, Vincent O. 2010. Recruitment of the ESCRT machinery to a putative seven-transmembrane-domain receptor is mediated by an arrestin-related protein. Mol Cell Biol 30:897–907. doi: 10.1128/MCB.00132-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Herranz S, Rodríguez JM, Bussink H-J, Sánchez-Ferrero JC, Arst HN, Peñalva MA, Vincent O. 2005. Arrestin-related proteins mediate pH signaling in fungi. Proc Natl Acad Sci U S A 102:12141–12146. doi: 10.1073/pnas.0504776102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Gomez-Raja J, Davis DA. 2012. The β-arrestin-like protein Rim8 is hyperphosphorylated and complexes with Rim21 and Rim101 to promote adaptation to neutral-alkaline pH. Eukaryot Cell 11:683–693. doi: 10.1128/EC.05211-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Nikko E, Sullivan JA, Pelham H. 2008. Arrestin-like proteins mediate ubiquitination and endocytosis of the yeast metal transporter Smf1. EMBO Rep 9:1216–1221. doi: 10.1038/embor.2008.199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Nikko E, Pelham H. 2009. Arrestin-mediated endocytosis of yeast plasma membrane transporters. Traffic 10:1856–1867. doi: 10.1111/j.1600-0854.2009.00990.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.O'Donnell AF, Apffel A, Gardner RG, Cyert MS. 2010. α-Arrestins Aly1 and Aly2 regulate intracellular trafficking in response to nutrient signaling. Mol Biol Cell 21:3552–3566. doi: 10.1091/mbc.E10-07-0636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hervás-Aguilar A, Galindo A, Peñalva MA. 2010. Receptor-independent ambient pH signaling by ubiquitin attachment to fungal arrestin-like PalF. J Biol Chem 285:18095–18102. doi: 10.1074/jbc.M110.114371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nichols CB, Perfect ZH, Alspaugh JA. 2007. A Ras1-Cdc24 signal transduction pathway mediates thermotolerance in the fungal pathogen Cryptococcus neoformans. Mol Microbiol 63:1118–1130. doi: 10.1111/j.1365-2958.2006.05566.x. [DOI] [PubMed] [Google Scholar]
  • 23.Ballou ER, Kozubowski L, Nichols CB, Alspaugh JA. 2013. Ras1 acts through duplicated Cdc42 and Rac proteins to regulate morphogenesis and pathogenesis in the human fungal pathogen Cryptococcus neoformans. PLoS Genet 9:e1003687. doi: 10.1371/journal.pgen.1003687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.O’Meara TR, Holmer SM, Selvig K, Dietrich F, Alspaugh JA. 2013. Cryptococcus neoformans Rim101 is associated with cell wall remodeling and evasion of the host immune responses. mBio 4:e00522-12. doi: 10.1128/mBio.00522-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ost KS, O'Meara TR, Huda N, Esher SK, Alspaugh JA. 2015. The Cryptococcus neoformans alkaline response pathway: identification of a novel rim pathway activator. PLoS Genet 11:e1005159. doi: 10.1371/journal.pgen.1005159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Pianalto KM, Ost KS, Brown HE, Alspaugh JA. 2018. Characterization of additional components of the environmental pH-sensing complex in the pathogenic fungus Cryptococcus neoformans. J Biol Chem 293:9995–10008. doi: 10.1074/jbc.RA118.002741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Brown HE, Ost KS, Esher SK, Pianalto KM, Saelens JW, Guan Z, Andrew Alspaugh J. 2018. Identifying a novel connection between the fungal plasma membrane and pH-sensing. Mol Microbiol 109:474–493. doi: 10.1111/mmi.13998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Rajasingham R, Smith RM, Park BJ, Jarvis JN, Govender NP, Chiller TM, Denning DW, Loyse A, Boulware DR. 2017. Global burden of disease of HIV-associated cryptococcal meningitis: an updated analysis. Lancet Infect Dis 17:873–881. doi: 10.1016/S1473-3099(17)30243-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Stajich JE, Harris T, Brunk BP, Brestelli J, Fischer S, Harb OS, Kissinger JC, Li W, Nayak V, Pinney DF, Stoeckert CJ, Roos DS. 2012. FungiDB: an integrated functional genomics database for fungi. Nucleic Acids Res 40:D675–D681. doi: 10.1093/nar/gkr918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J Mol Biol 215:403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  • 31.Altschul S, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Schäffer AA, Aravind L, Madden TL, Shavirin S, Spouge JL, Wolf YI, Koonin EV, Altschul SF. 2001. Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements. Nucleic Acids Res 29:2994–3005. doi: 10.1093/nar/29.14.2994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Alspaugh JA, Cavallo LM, Perfect JR, Heitman J. 2000. Ras1 regulates filamentation, mating and growth at high temperature of Cryptococcus neoformans. Mol Microbiol 36:352–365. doi: 10.1046/j.1365-2958.2000.01852.x. [DOI] [PubMed] [Google Scholar]
  • 34.Kozubowski L, Heitman J. 2010. Septins enforce morphogenetic events during sexual reproduction and contribute to virulence of Cryptococcus neoformans. Mol Microbiol 75:658–675. doi: 10.1111/j.1365-2958.2009.06983.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Girnita L, Shenoy SK, Sehat B, Vasilcanu R, Girnita A, Lefkowitz RJ, Larsson O. 2005. β-Arrestin is crucial for ubiquitination and down-regulation of the insulin-like growth factor-1 receptor by acting as adaptor for the Mdm2 E3 ligase. J Biol Chem 280:24412–24419. doi: 10.1074/jbc.M501129200. [DOI] [PubMed] [Google Scholar]
  • 36.Lum PY, Armour CD, Stepaniants SB, Cavet G, Wolf MK, Butler JS, Hinshaw JC, Garnier P, Prestwich GD, Leonardson A, Garrett-Engele P, Rush CM, Bard M, Schimmack G, Phillips JW, Roberts CJ, Shoemaker DD. 2004. Discovering modes of action for therapeutic compounds using a genome-wide screen of yeast heterozygotes. Cell 116:121–137. doi: 10.1016/s0092-8674(03)01035-3. [DOI] [PubMed] [Google Scholar]
  • 37.Ram AFJ, Klis FM. 2006. Identification of fungal cell wall mutants using susceptibility assays based on calcofluor white and Congo red. Nat Protoc 1:2253–2256. doi: 10.1038/nprot.2006.397. [DOI] [PubMed] [Google Scholar]
  • 38.Esher SK, Ost KS, Kohlbrenner MA, Pianalto KM, Telzrow CL, Campuzano A, Nichols CB, Munro C, Wormley FL, Alspaugh JA. 2018. Defects in intracellular trafficking of fungal cell wall synthases lead to aberrant host immune recognition. PLoS Pathog 14:e1007126. doi: 10.1371/journal.ppat.1007126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Schroeder L, Ikui AE. 2019. Tryptophan confers resistance to SDS-associated cell membrane stress in Saccharomyces cerevisiae. PLoS One 14:e0199484. doi: 10.1371/journal.pone.0199484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Truman AW, Kim KY, Levin DE. 2009. Mechanism of Mpk1 mitogen-activated protein kinase binding to the Swi4 transcription factor and its regulation by a novel caffeine-induced phosphorylation. Mol Cell Biol 29:6449–6461. doi: 10.1128/MCB.00794-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Levin DE. 2011. Regulation of cell wall biogenesis in Saccharomyces cerevisiae: the cell wall integrity signaling pathway. Genetics 189:1145–1175. doi: 10.1534/genetics.111.128264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Noda T, Ohsumi Y. 1998. Tor, a phosphatidylinositol kinase homologue, controls autophagy in yeast. J Biol Chem 273:3963–3966. doi: 10.1074/jbc.273.7.3963. [DOI] [PubMed] [Google Scholar]
  • 43.Shpilka T, Welter E, Borovsky N, Amar N, Shimron F, Peleg Y, Elazar Z. 2015. Fatty acid synthase is preferentially degraded by autophagy upon nitrogen starvation in yeast. Proc Natl Acad Sci U S A 112:1434–1439. doi: 10.1073/pnas.1409476112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Kaneko T, Makimura K, Onozaki M, Ueda K, Yamada Y, Nishiyama Y, Yamaguchi H. 2005. Vital growth factors of Malassezia species on modified CHROMagar Candida. Med Mycol 43:699–704. doi: 10.1080/13693780500130564. [DOI] [PubMed] [Google Scholar]
  • 45.Philips J, Herskowitz I. 1997. Osmotic balance regulates cell fusion during mating in Saccharomyces cerevisiae. J Cell Biol 138:961–974. doi: 10.1083/jcb.138.5.961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hartland K, Pu J, Palmer M, Dandapani S, Moquist PN, Munoz B, DiDone L, Schreiber SL, Krysan DJ. 2016. High-throughput screen in Cryptococcus neoformans identifies a novel molecular scaffold that inhibits cell wall integrity pathway signaling. ACS Infect Dis 2:93–102. doi: 10.1021/acsinfecdis.5b00111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Feldmesser M, Kress Y, Novikoff P, Casadevall A. 2000. Cryptococcus neoformans is a facultative intracellular pathogen in murine pulmonary infection. Infect Immun 68:4225–4237. doi: 10.1128/iai.68.7.4225-4237.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Esher SK, Ost KS, Kozubowski L, Yang DH, Kim MS, Bahn YS, Alspaugh JA, Nichols CB. 2016. Relative contributions of prenylation and postprenylation processing in Cryptococcus neoformans pathogenesis. mSphere 30:e00084-15. doi: 10.1128/mSphere.00084-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Cox GM, Mukherjee J, Cole GT, Casadevall A, Perfect JR. 2000. Urease as a virulence factor in experimental cryptococcosis. Infect Immun 68:443–448. doi: 10.1128/iai.68.2.443-448.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Nichols CB, Ferreyra J, Ballou ER, Alspaugh JA. 2009. Subcellular localization directs signaling specificity of the Cryptococcus neoformans Ras1 protein. Eukaryot Cell 8:181–189. doi: 10.1128/EC.00351-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Spiliotis ET, Kinoshita M, Nelson WJ. 2005. A mitotic septin scaffold required for mammalian chromosome congression and segregation. Science 307:1781–1785. doi: 10.1126/science.1106823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kinoshita M. 2006. Diversity of septin scaffolds. Curr Opin Cell Biol 18:54–60. doi: 10.1016/j.ceb.2005.12.005. [DOI] [PubMed] [Google Scholar]
  • 53.Glomb O, Gronemeyer T. 2016. Septin organization and functions in budding yeast. Front Cell Dev Biol 4:123. doi: 10.3389/fcell.2016.00123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Finnigan GC, Duvalyan A, Liao EN, Sargsyan A, Thorner J. 2016. Detection of protein-protein interactions at the septin collar in Saccharomyces cerevisiae using a tripartite split-GFP system. Mol Biol Cell 27:2708–2725. doi: 10.1091/mbc.E16-05-0337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Kelliher CM, Leman AR, Sierra CS, Haase SB. 2016. Investigating conservation of the cell-cycle-regulated transcriptional program in the fungal pathogen, Cryptococcus neoformans. PLoS Genet 12:e1006453. doi: 10.1371/journal.pgen.1006453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Qadota H, Python CP, Inoue SB, Arisawa M, Anraku Y, Zheng Y, Watanabe T, Levin DE, Ohya Y. 1996. Identification of yeast Rho1p GTPase as a regulatory subunit of 1,3-β-glucan synthase. Science 272:279–281. doi: 10.1126/science.272.5259.279. [DOI] [PubMed] [Google Scholar]
  • 57.Cabib E, Roh DH, Schmidt M, Crotti LB, Varma A. 2001. The yeast cell wall and septum as paradigms of cell growth and morphogenesis. J Biol Chem 276:19679–19682. doi: 10.1074/jbc.R000031200. [DOI] [PubMed] [Google Scholar]
  • 58.Chuang JS, Schekman RW. 1996. Differential trafficking and timed localization of two chitin synthase proteins, Chs2p and Chs3p. J Cell Biol 135:597–610. doi: 10.1083/jcb.135.3.597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Banks IR, Specht CA, Donlin MJ, Gerik KJ, Levitz SM, Lodge JK. 2005. A chitin synthase and its regulator protein are critical for chitosan production and growth of the fungal pathogen Cryptococcus neoformans. Eukaryot Cell 4:1902–1912. doi: 10.1128/EC.4.11.1902-1912.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Reese AJ, Yoneda A, Breger JA, Beauvais A, Liu H, Griffith CL, Bose I, Kim MJ, Skau C, Yang S, Sefko JA, Osumi M, Latge JP, Mylonakis E, Doering TL. 2007. Loss of cell wall α(1-3) glucan affects Cryptococcus neoformans from ultrastructure to virulence. Mol Microbiol. Mol Microbiol 63:1385–1398. doi: 10.1111/j.1365-2958.2006.05551.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Carel C, Nukdee K, Cantaloube S, Bonne M, Diagne CT, Laval F, Daffé M, Zerbib D. 2014. Mycobacterium tuberculosis proteins involved in mycolic acid synthesis and transport localize dynamically to the old growing pole and septum. PLoS One 9:e97148. doi: 10.1371/journal.pone.0097148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Mahmoud YA, Abu el Souod SM, Niehaus WG. 1996. Purification and characterization of fatty acid synthetase from Cryptococcus neoformans. Mycopathologia 136:75–84. doi: 10.1007/bf00437499. [DOI] [PubMed] [Google Scholar]
  • 63.Lynen F, Engeser H, Foerster EC, Fox JL, Hess S, Kresze GB, Schmitt T, Schreckenbach T, Siess E, Wieland F, Winnewisser W. 1980. On the structure of fatty acid synthetase of yeast. Eur J Biochem 112:431–442. doi: 10.1111/j.1432-1033.1980.tb06105.x. [DOI] [PubMed] [Google Scholar]
  • 64.Schweizer E, Hofmann J. 2004. Microbial type I fatty acid synthases (FAS): major players in a network of cellular FAS systems. Microbiol Mol Biol Rev 68:501–517. doi: 10.1128/MMBR.68.3.501-517.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Chayakulkeeree M, Rude TH, Toffaletti DL, Perfect JR. 2007. Fatty acid synthesis is essential for survival of Cryptococcus neoformans and a potential fungicidal target. Antimicrob Agents Chemother 51:3537–3545. doi: 10.1128/AAC.00442-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Peng T, Golub TR, Sabatini DM. 2002. The immunosuppressant rapamycin mimics a starvation-like signal distinct from amino acid and glucose deprivation. Mol Cell Biol 22:5575–5584. doi: 10.1128/mcb.22.15.5575-5584.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Soliman GA. 2011. The integral role of mTOR in lipid metabolism. Cell Cycle 10:861–862. doi: 10.4161/cc.10.6.14930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Madeira JB, Masuda CA, Maya-Monteiro CM, Matos GS, Montero-Lomelí M, Bozaquel-Morais BL. 2015. Torc1 inhibition induces lipid droplet replenishment in yeast. Mol Cell Biol 35:737–746. doi: 10.1128/MCB.01314-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Davidson R, Laporte D, Wu JQ. 2015. Regulation of Rho-GEF Rgf3 by the arrestin Art1 in fission yeast cytokinesis. Mol Biol Cell 26:453–466. doi: 10.1091/mbc.E14-07-1252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Saitoh S, Takahashi K, Nabeshima K, Yamashita Y, Nakaseko Y, Hirata A, Yanagida M. 1996. Aberrant mitosis in fission yeast mutants defective in fatty acid synthetase and acetyl CoA carboxylase. J Cell Biol 134:949–961. doi: 10.1083/jcb.134.4.949. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Al-Feel W, DeMar JC, Wakil SJ. 2003. A Saccharomyces cerevisiae mutant strain defective in acetyl-CoA carboxylase arrests at the G2/M phase of the cell cycle. Proc Natl Acad Sci U S A 100:3095–3100. doi: 10.1073/pnas.0538069100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Scaglia N, Tyekucheva S, Zadra G, Photopoulos C, Loda M. 2014. De novo fatty acid synthesis at the mitotic exit is required to complete cellular division. Cell Cycle 13:859–868. doi: 10.4161/cc.27767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Callis J. 2014. The ubiquitination machinery of the ubiquitin system. Arabidopsis Book 12:e0174. doi: 10.1199/tab.0174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Yu J, Deng R, Zhu HH, Zhang SS, Zhu C, Montminy M, Davis R, Feng GS. 2013. Modulation of fatty acid synthase degradation by concerted action of p38 MAP kinase, E3 ligase Cop1, and SH2-tyrosine phosphatase Shp2. J Biol Chem 288:3823–3830. doi: 10.1074/jbc.M112.397885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Merlini L, Fraschini R, Boettcher B, Barral Y, Lucchini G, Piatti S. 2012. Budding yeast Dma proteins control septin dynamics and the spindle position checkpoint by promoting the recruitment of the Elm1 kinase to the bud neck. PLoS Genet 8:e1002670. doi: 10.1371/journal.pgen.1002670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Juanes MA, Piatti S. 2016. Control of formin distribution and actin cable assembly by the E3 ubiquitin ligases Dma1 and Dma2. Genetics 204:205–220. doi: 10.1534/genetics.116.189258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Natter K, Leitner P, Faschinger A, Wolinski H, McCraith S, Fields S, Kohlwein SD. 2005. The spatial organization of lipid synthesis in the yeast Saccharomyces cerevisiae derived from large scale green fluorescent protein tagging and high resolution microscopy. Mol Cell Proteomics 4:662–672. doi: 10.1074/mcp.M400123-MCP200. [DOI] [PubMed] [Google Scholar]
  • 78.Davis D, Edwards JE, Mitchell AP, Ibrahim AS. 2000. Candida albicans Rim101 pH response pathway is required for host-pathogen interactions. Infect Immun 68:5953–5959. doi: 10.1128/iai.68.10.5953-5959.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Barlic J, Andrews JD, Kelvin AA, Bosinger SE, DeVries ME, Xu L, Dobransky T, Feldman RD, Ferguson SSG, Kelvin DJ. 2000. Regulation of tyrosine kinase activation and granule release through β-arrestin by Cxcr1. Nat Immunol 1:227–233. doi: 10.1038/79767. [DOI] [PubMed] [Google Scholar]
  • 80.Gao H, Sun Y, Wu Y, Luan B, Wang Y, Qu B, Pei G. 2004. Identification of β-arrestin2 as a G protein-coupled receptor-stimulated regulator of NF-κB pathways. Mol Cell 14:303–317. doi: 10.1016/S1097-2765(04)00216-3. [DOI] [PubMed] [Google Scholar]
  • 81.Radin JN, Orihuela CJ, Murti G, Guglielmo C, Murray PJ, Tuomanen EI. 2005. β-Arrestin 1 participates in platelet-activating factor receptor-mediated endocytosis of Streptococcus pneumoniae. Infect Immun 73:7827–7835. doi: 10.1128/IAI.73.12.7827-7835.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Bhattacharyya S, Hope TJ, Young JA. 2011. Differential requirements for clathrin endocytic pathway components in cellular entry by Ebola and Marburg glycoprotein pseudovirions. Virology 419:1–9. doi: 10.1016/j.virol.2011.07.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Vines CM, Revankar CM, Maestas DC, LaRusch LL, Cimino DF, Kohout TA, Lefkowitz RJ, Prossnitz ER. 2003. N-formyl peptide receptors internalize but do not recycle in the absence of arrestins. J Biol Chem 278:41581–41584. doi: 10.1074/jbc.C300291200. [DOI] [PubMed] [Google Scholar]
  • 84.Ost KS, Esher SK, Leopold Wager CM, Walker L, Wagener J, Munro C, Wormley FL, Alspaugh JA. 2017. Rim pathway-mediated alterations in the fungal cell wall influence immune recognition and inflammation. mBio 8:e02290-16. doi: 10.1128/mBio.02290-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Toffaletti DL, Rude TH, Johnston SA, Durack DT, Perfect JR. 1993. Gene transfer in Cryptococcus neoformans by use of biolistic delivery of DNA. J Bacteriol 175:1405–1411. doi: 10.1128/jb.175.5.1405-1411.1993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Kim MS, Kim SY, Jung KW, Bahn YS. 2012. Targeted gene disruption in Cryptococcus neoformans using double-joint PCR with split dominant selectable markers. Methods Mol Biol 845:67–84. doi: 10.1007/978-1-61779-539-8_5. [DOI] [PubMed] [Google Scholar]
  • 87.Chun CD, Madhani HD. 2010. Applying genetics and molecular biology to the study of the human pathogen Cryptococcus neoformans. Methods Enzymol 470:797–831. doi: 10.1016/S0076-6879(10)70033-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Murashige T, Skoog F. 1962. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol Plant 15:473–497. doi: 10.1111/j.1399-3054.1962.tb08052.x. [DOI] [Google Scholar]
  • 89.Schneider CA, Rasband WS, Eliceiri KW. 2012. NIH image to ImageJ: 25 years of image analysis. Nat Methods 9:671–675. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Abràmoff MD, Magalhães PJ, Ram SJ. 2004. Image processing with ImageJ. Biophotonics Int 11:36–42. [Google Scholar]
  • 91.Pfaller MA, Rinaldi MG, Galgiani JN, Bartlett MS, Body BA, Espinel-Ingroff A, Fromtling RA, Hall GS, Hughes CE, Odds FC. 1990. Collaborative investigation of variables in susceptibility testing of yeasts. Antimicrob Agents Chemother 34:1648–1654. doi: 10.1128/aac.34.9.1648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Clinical and Laboratory Standards Institute (CLSI). 2008. Reference method for broth dilution antifungal susceptibility testing of yeasts; approved standard, 3rd ed. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
  • 93.Perfect JR, Lang SD, Durack DT. 1980. Chronic cryptococcal meningitis: a new experimental model in rabbits. Am J Pathol 101:177–194. [PMC free article] [PubMed] [Google Scholar]
  • 94.Nielsen K, Cox GM, Wang P, Toffaletti DL, Perfect JR, Heitman J. 2003. Sexual cycle of Cryptococcus neoformans var. grubii and virulence of congenic a and α isolates. Infect Immun 71:4831–4841. doi: 10.1128/iai.71.9.4831-4841.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Fraser JA, Subaran RL, Nichols CB, Heitman J. 2003. Recapitulation of the sexual cycle of the primary fungal pathogen Cryptococcus neoformans var. gattii: implications for an outbreak on Vancouver Island, Canada. Eukaryot Cell 2:1036–1045. doi: 10.1128/ec.2.5.1036-1045.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.McDade HC, Cox GM. 2001. A new dominant selectable marker for use in Cryptococcus neoformans. Med Mycol 39:151–154. doi: 10.1080/mmy.39.1.151.154. [DOI] [PubMed] [Google Scholar]
  • 97.Price MS, Nichols CB, Alspaugh JA. 2008. The Cryptococcus neoformans Rho-GDP dissociation inhibitor mediates intracellular survival and virulence. Infect Immun 76:5729–5737. doi: 10.1128/IAI.00896-08. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

TABLE S1

Primary amino acid sequence homology between the C. neoformans arrestins and S. cerevisiae arrestins. The BLASTp and PSI-BLAST programs were used to identify amino acid sequence conservation. Alignments with an E value less than 1 were determined to be significant (NA, not applicable). Download Table S1, DOCX file, 0.02 MB (17.1KB, docx) .

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TABLE S2

Primary amino acid sequence homology between the C. neoformans arrestins and human arrestins. The BLASTp and PSI-BLAST programs were used to identify amino acid sequence conservation. Alignments with an E value less than 1 were determined to be significant (NA, not applicable). Download Table S2, DOCX file, 0.01 MB (15.1KB, docx) .

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FIG S1

Cellular morphology of the ali1Δ mutant at 30°C. The WT, ali1Δ mutant, and ali1Δ + ALI1 strains were incubated in YPD medium at 30°C, imaged by DIC microscopy (Zeiss Axio Imager A1), and quantified for the frequency of cytokinesis defects. The percentage of total cells displaying morphological defects at 30°C was quantified for each strain. A minimum of 600 cells were analyzed across three biological replicates (n = 3). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; ns, not significant). Download FIG S1, TIF file, 0.3 MB (276.3KB, tif) .

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TABLE S3

A total of 1,122 proteins were identified as potential interactors of Ali1-GFP. All identified C. neoformans proteins are included, along with the exclusive unique peptide count for each protein in each replicate. Download Table S3, XLS file, 0.3 MB (336.5KB, xls) .

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TABLE S4

The 59 biologically relevant proteins identified as potential interactors of Ali1-GFP in YPD medium. The average peptide count (APC) was calculated by averaging the exclusive unique peptide counts for each potential interactor across three biological replicates. The percentage of APC identified in the WT immunoprecipitation was calculated by dividing the APC of each potential interactor by the exclusive unique peptide count found in the WT immunoprecipitation. All potential protein interactors with an APC of 2 or more, as well as less than 20% of the APC identified in the WT immunoprecipitation were considered to be unique interactors with Ali1-GFP. These potential protein interactors are prioritized by APC (most to least) and percentage of APC identified in the WT control (lowest to highest). Download Table S4, XLS file, 0.03 MB (35KB, xls) .

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TABLE S5

The 62 biologically relevant proteins identified as potential interactors of Ali1-GFP in TC medium. The average peptide count (APC) was calculated by averaging the exclusive unique peptide counts for each potential interactor across three biological replicates. The percentage of APC identified in the WT immunoprecipitation was calculated by dividing the APC of each potential interactor by the exclusive unique peptide count found in the WT immunoprecipitation. All potential protein interactors with an APC of 2 or more, as well as less than 20% of the APC identified in the WT immunoprecipitation, were considered to be unique interactors with Ali1-GFP. These potential protein interactors are prioritized by APC (most to least) and percentage of APC identified in the WT control (lowest to highest). Download Table S5, XLS file, 0.03 MB (35.5KB, xls) .

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FIG S2

Complementation phenotypes of the individual arrestin mutants. (A) Serial dilutions of the WT, ali2Δ mutant, and the ali2Δ + ALI2-GFP strains were incubated on YPD medium, YPD with caffeine (1 mg/ml), and YPD with high salt (1.5 M NaCl). These strains were incubated at 30°C and monitored visually for growth. (B) Serial dilutions of the WT, ali3Δ mutant, and the ali3Δ + ALI3 strains were incubated on YPD medium incubated at 30°C, YPD medium incubated at 39°C, and YPD with SDS (0.03%) incubated at 30°C. These strains were monitored visually for growth. (C) Serial dilutions of the WT, ali4Δ mutant, and the ali4Δ + ALI4 strains were incubated on YPD medium and YPD with SDS (0.03%). These strains were incubated at 30°C and monitored visually for growth. Download FIG S2, TIF file, 1.3 MB (1.3MB, tif) .

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FIG S3

Virulence contributions of Ali2. The WT, ali2Δ mutant, ali2Δ + ALI2-GFP, and ali1Δali2Δ mutant strains were coincubated with J774A.1 murine macrophages at a multiplicity of infection (MOI) of 1 for 24 hours. Survival of the strains was assessed by quantitative culture, and the percentage of recovered CFU was normalized to the WT strain. This experiment was performed with five biological replicates (n = 5). Error bars represent the SEM. Log transformation was used to normally distribute the data for statistical analysis (one-way ANOVA; *, P < 0.05; ****, P < 0.0001; ns, not significant). Download FIG S3, TIF file, 0.3 MB (332.7KB, tif) .

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FIG S4

The effects of lipid supplementation on the arrestin null mutants. (A) Serial dilutions of the WT and arrestin null mutant strains were incubated on YPD medium at 30°C, YPD at 39°C, YPD with glycerol (0.4%) at 39°C, and YPD with sorbitol (1 M) at 39°C. These strains were monitored visually for growth. (B) Serial dilutions of the WT and arrestin null mutant strains were incubated on YPD medium, YPD with caffeine (1 mg/ml), YPD with caffeine and glycerol (0.4%), and YPD with caffeine and sorbitol (1 M). These strains were incubated at 30°C and monitored visually for growth. Download FIG S4, TIF file, 1.0 MB (981.5KB, tif) .

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FILE S1

Supplemental materials and methods. Download FILE S1, DOCX file, 0.1 MB (20.2KB, docx) .

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