Next Article in Journal
Impact of Immunoglobulin M-Type Donor-Specific Human Leukocyte Antigen–Antibody Levels in Supernatants from Cultured Peripheral Blood Mononuclear Cells as Predictors of Antibody-Mediated Rejection
Next Article in Special Issue
Current Perspectives on Uniparental Mitochondrial Inheritance in Cryptococcus neoformans
Previous Article in Journal
A Novel Genotype and First Record of Trypanosoma lainsoni in Argentina
Previous Article in Special Issue
Monitoring Glycolysis and Respiration Highlights Metabolic Inflexibility of Cryptococcus neoformans
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Pathogens
Volume 9
Issue 9
10.3390/pathogens9090732
pathogens-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Serial Passage of Cryptococcus neoformans in Galleria mellonella Results in Increased Capsule and Intracellular Replication in Hemocytes, but Not Increased Resistance to Hydrogen Peroxide

by
Muhammad Fariz Ali
1,
Stephen M. Tansie
1,
John R. Shahan
1,
Rebecca L. Seipelt-Thiemann
1 and
Erin E. McClelland
1,2,*
1
Department of Biology, Middle Tennessee State University, Box 60, 1301 E. Main Street, Murfreesboro, TN 37132, USA
2
M&P Associates, Inc., P.O. Box 11534, Murfreesboro, TN 37129, USA
*
Author to whom correspondence should be addressed.
Pathogens 2020, 9(9), 732; https://doi.org/10.3390/pathogens9090732
Submission received: 4 August 2020 / Revised: 4 September 2020 / Accepted: 4 September 2020 / Published: 5 September 2020
(This article belongs to the Special Issue Pathogenesis of Cryptococcus neoformans)
Browse Figures
Versions Notes

Abstract

:
To gain insight into how pathogens adapt to new hosts, Cryptococcus neoformans (H99W) was serially passaged in Galleria mellonella. The phenotypic characteristics of the passaged strain (P15) and H99W were evaluated. P15 grew faster in hemolymph than H99W, in vitro and in vivo, suggesting that adaptation had occurred. However, P15 was more susceptible to hydrogen peroxide in vitro, killed fewer mouse macrophages, and had less fungal burden in human ex vivo macrophages than H99W. Analysis of gene expression changes during Galleria infection showed only a few different genes involved in the reactive oxygen species response. As P15 sheds more GXM than H99W, P15 may have adapted by downregulating hemocyte hydrogen peroxide production, possibly through increased capsular glucuronoxylomannan (GXM) shedding. Hemocytes infected with P15 produced less hydrogen peroxide, and hydrogen peroxide production in response to GXM-shedding mutants was correlated with shed GXM. Histopathological examination of infected larvae showed increased numbers and sizes of immune nodules for P15 compared to H99W, suggesting an enhanced, but functionally defective, response to P15. These results could explain why this infection model does not always correlate with murine models. Overall, C. neoformans’ serial passage in G. mellonella resulted in a better understanding of how this yeast evolves under selection.

1. Introduction

Cryptococcus neoformans is an opportunistic pathogen that is able to infect and survive long term in many different species. To accomplish extended survival, even in healthy hosts, it resides and replicates in macrophages and other macrophage-like immune cells. To gain additional insight into the pathways involved in intracellular replication of C. neoformans, the serotype A strain H99W [1] was serially passaged in the wax moth larvae Galleria mellonella for 100 C. neoformans generations (15 passages). Galleria mellonella is an increasingly useful invertebrate host for C. neoformans. The waxworms are inexpensive, easy to work with, and contain phagocytic hemocytes which, similarly to mammalian macrophages and neutrophils, phagocytose and kill C. neoformans [2], likely through the production of high levels of reactive oxygen species (ROS) [3]. Additionally, numerous C. neoformans virulence factors are important in both G. mellonella, as well as mammalian infections [2], particularly the capsule, which has been shown to have numerous effects on the host immune response [4]. We hypothesized that serial passage of C. neoformans in G. mellonella would result in a strain that would be adapted to the larval environment with selection pressures provided by the organismal environment and various aspects of the larval immune response, and thus be more resistant to ROS and/or have a higher level of intracellular replication.
To test these ideas, several experiments were undertaken including comparisons between the parent and adapted strain in in vitro growth medium containing Galleria hemolymph, fungal burden in Galleria larvae, fungal burden and killing in mouse and human macrophages, differential gene expression during infection in Galleria larvae, in vitro susceptibility to hydrogen peroxide, hydrogen peroxide production from Galleria hemocytes during infection, and histological features of the larval immune response.
Overall, these data suggested that strain P15′s adaptation involved reducing the hemocyte ROS response by increasing capsule shedding without blocking the entire immune response. However, this adaptation was not generally successful across species, as it was not protective in mouse or human macrophages. Thus, the use of serial passage experiments has led to an increased understanding of how C. neoformans interacts with the G. mellonella immune response and illustrates how it evades and/or disables specific components of the G. mellonella ROS. These data have resulted in a better understanding of how this yeast evolves under selection and illustrates that, similar to in mice and humans [4], capsule is a potent immune modulator in G. mellonella.

2. Results

To generate a Galleria-adapted strain of C. neoformans, a primary culture of strain H99W, which is a less virulent strain compared to another common reference strain H99S [1], was grown from a frozen stock and used to infect Galleria larvae. After three days, hemolymph was collected, pooled, and used to inoculate additional Galleria larvae. This process was repeated, going directly from larvae to larvae a total of fifteen times, which was equivalent to approximately 100 fungal generations, to generate the putative Galleria-adapted strain, which was termed P15 (passage 15) (Figure 1).

2.1. Evidence for Adaptation

If strain P15 had adapted to the Galleria environment, it would be expected to have acquired characteristics not found in the parent strain, including enhanced growth and survival in the adaptive environment. To determine if strain P15 had adapted to the Galleria environment, doubling times were evaluated in vitro in minimal medium with hemolymph. In vivo growth of each strain (fungal burden, colony forming units (CFU)) was also assessed during the course of infection in Galleria. P15 grew faster in hemolymph-containing medium in vitro than the parent strain H99W and the more virulent reference strain H99S (Table 1) and showed significantly higher CFU at days 3 and 5 post-infection than the parent strain H99W (Figure 2, p < 0.001 and p < 0.0001, respectively). In addition, P15 had significantly higher CFU at day 5 compared to the more virulent reference strain H99S (Figure 2, p < 0.0001).
One of the major virulence factors for C. neoformans is its large complex capsule, which is known to protect the yeast from the host immune response [5,6]. In addition, shed capsule is known to be immunomodulatory [4]. To determine whether this virulence characteristic had changed during the process of adaptation, capsule size and amount of capsule shed by P15, H99W, and H99S strains were measured. As expected, P15 had a significantly larger capsule (Figure 3A) and also shed significantly more capsule than the parent strain (H99W), but had a smaller capsule and shed less than the more virulent reference strain (H99S) (Figure 3B).
To investigate host-pathogen differences between the Galleria-adapted strain and its parent strain in other well-characterized hosts of C. neoformans, the ability of each strain to survive and replicate within mouse and ex vivo human macrophages was examined. Based on the growth and capsule data, it was expected that the adapted strain would survive better and replicate to higher levels in macrophages, as well as kill macrophages more often than the parent strain. However, the pre-passage H99W strain and the P15 strain showed no difference in intracellular replication within J774.16 and RAW264.7 mouse macrophages (data not shown). Surprisingly, strain P15 showed significantly less fungal burden after 18 h of incubation with ex vivo human macrophages (Figure 4A, p < 0.001) and killed fewer J774.16 mouse macrophages after 24 h incubation than H99W (Figure 4B).

2.2. Identifying a Putative Adaptation Mechanism

To gain insight into the unexpected and conflicting effects on host cell survival, studies to compare the gene expression responses of both strains in the Galleria environment were undertaken using microarray analysis. Microarray analysis showed 172 genes were upregulated and 254 genes were downregulated in strain P15 compared to the parent H99W strain (Supplementary Table S1). In total, these genes represented fourteen different molecular functions, processes, or components, including cell cycle, cell wall, energy, housekeeping, metabolism, pathogenicity, protein degradation, protein integrity, secretion, signal transduction, stress response, transcription, translation, and unknown, as determined by National Center for Biotechnology Information (NCBI) Gene Ontology Tools (Bethesda, MD, USA). While nearly all classifications included both upregulated and downregulated genes, only downregulated genes were found in the signal transduction classification. To further investigate the molecular function of these genes and their possible roles in adaptation, the Kyoto Encyclopedia of Genes and Genomes database pathway tool (Kanehisa Laboratories, Kyoto, Japan) was used to determine which functional pathways were affected based on these differentially expressed genes. Genes involving the spliceosome, ribosome, homologous recombination, nucleotide excision repair and the ubiquitin-mediated proteolytic pathways were upregulated in strain P15 compared to H99W, while genes involved in various metabolic pathways, RNA transport and degradation, basal transcription, biotin and sulfur metabolism, and peroxisome biogenesis pathways were down-regulated in strain P15 compared to strain H99W.
To determine if these genes had significant protein interactions, the protein interaction networks among the 400 differentially expressed genes identified by microarray analysis were investigated using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING, version 11.0, ELIXIR, Cambridgeshire, UK) database. A large proportion of proteins encoded by these genes were not identified to have interactions within the dataset. Based on the dataset size, 198 interactions would be expected, but more were identified with a protein-protein interaction (PPI)-enrichment p-value of 2.24 × 10−5, indicating the data pool was likely to have biological significance (Figure 5). However, no significant clusters were found.
To confirm the microarray results, 36 genes were tested using quantitative reverse transcription-polymerase chain reaction (qRT-PCR; Supplementary Table S2). The genes were chosen based on the highest fold change for each functional classification and/or the gene ontology description. Strikingly, 94% of eighteen genes upregulated in strain P15 compared to strain H99W were verified using qRT-PCR, whereas only 33% of eighteen genes downregulated in strain P15 compared to strain H99W were verified (Supplementary Table S2).
A number of genes are thought to be involved in C. neoformans resistance to oxidative damage, including genes encoding glutathione peroxidase (Gpx1 and Gpx2), peroxiredoxin (Tsa1), cytosolic superoxide dismutase (Sod1), mitochondrial superoxide dismutase (Sod2), and the alternative oxidase (Aox1) [7]. Two of these genes were identified as differentially expressed in the microarray analysis and were verified using qRT-PCR. Expression of only a single ROS-related gene, glutathione peroxidase (Gpx2, CNN00220), was upregulated in strain P15 compared to H99W (5.7 fold; average of two qRT-PCR experiments). Most ROS-related genes were not differentially expressed, including peroxiredoxin (Tsa1), which is a thiol peroxidase known to provide defense against oxidative and nitrosative damage and is induced in the presence of hydrogen peroxide in vitro [8]. In addition, neither of the mRNAs encoding the cytosolic and mitochondrial forms of superoxide dismutase (Sod1 and Sod2) enzymes, required to convert superoxide to hydrogen peroxide and water [9], were differentially expressed. Finally, alternative oxidase (encoded by Aox1), an enzyme thought to be involved in resistance to ROS, which is induced upon exposure to superoxide anion [10], was downregulated 1.2 fold (average of two qRT-PCR experiments) in strain P15 (Supplementary Table S2), suggesting that strain P15 was not exposed to ROS during Galleria infection, and that P15 had survived based on a different mechanism than increased tolerance to ROS.

2.3. Validating the Putative Adaptation Mechanism

Based on the lack of an oxidative stress response in P15-infected hemocytes at the transcriptome level and the ability for human and mouse macrophages to kill strain P15 more than its parent strain, the Galleria-adapted strain would be expected to have a distinctly lower tolerance to oxidative and nitrosative exposure compared to the non-adapted parent strain. To determine P15′s resistance to ROS or reactive nitrogen species (RNS), fungal survival after exposure to hydrogen peroxide or sodium nitrite + succinic acid was measured. Incubation with hydrogen peroxide exposes the yeast to reactive OH groups via the Fenton reaction [11], while incubation with sodium nitrite + succinic acid exposes the yeast to reactive NO groups [12]. As expected, strain P15 was significantly more susceptible to cell death whether it was incubated for three (p = 0.006) or six (p = 0.0187) h with 0.5 mM hydrogen peroxide (Figure 6A). To determine if capsule could induce protection from ROS, the experiment was repeated following capsule induction for both H99W and strain P15. Strain P15 was again significantly more susceptible to damage by 0.5 mM hydrogen peroxide, but only after exposure for six h (p = 0.0022, Figure 6B). There was no difference in susceptibility to sodium nitrite + succinic acid between strains H99W and P15 (data not shown).
The results showing that P15 exhibited only a subset of the expected oxidative stress and damage responses compared to the parent strain, as well as showing reduced resistance to peroxide in vitro and a reduced ability to kill mouse macrophages, suggested that perhaps P15 had adapted to block or otherwise negate Galleria’s oxidative response rather than withstand it, as was initially hypothesized. To address this possibility, hemocyte hydrogen peroxide production from Galleria larvae that had been infected with each strain was compared. Hemocytes from P15-infected larvae were able to produce hydrogen peroxide, although to a significantly lesser extent than hemocytes from either H99W-infected larvae or Candida-infected larvae (Figure 7), which supported a mechanism in which strain P15 reduced the host response rather than resisting it.
To not only investigate whether Galleria larvae were mounting any immune response to infection, but also to gain a broader perspective of how the Galleria host’s immune response differed for the adapted strain, the organismal immune response to infection with each strain was examined using histological techniques. The number and size of immune nodules are known to be good indicators of the Galleria immune response [13]. Larvae that had been infected with each strain for two and five days were fixed, sectioned and stained. The number and size of immune nodules surrounding C. neoformans cells were then measured. Larvae infected with P15 had significantly more and larger nodules than those infected with H99W at day 5 (Figure 8C,D). In addition, there was a large amount of P15 that was not enclosed within nodules (Figure 8B).

2.4. Experimental Evidence for Mechanism

The observations that (1) Galleria larvae exhibited an immune response to strain P15, (2) P15-infected hemocytes produced less hydrogen peroxide in response to infection, and (3) the P15 strain had a larger capsule and shed more capsule than H99W, suggested that strain P15′s ability to depress Galleria’s ROS response, but not the entire immune response, might be due to its increased capsule shedding. To test this hypothesis, Galleria larvae were infected with GXM secretion mutants, strains that exhibit decreased capsule shedding, liv7Δ (CNAG_06464, [14]) or increased GXM capsule shedding, ima1Δ (CNAG_00658, [14]). Hemocytes isolated from infected larvae were then tested for hydrogen peroxide production. Hemocytes from Galleria infected with liv7Δ showed increased production of hydrogen peroxide compared to P15 and decreased production of hydrogen peroxide compared to H99W (Figure 9). In comparison, hemocytes from Galleria infected with ima1Δ produced approximately the same amount of hydrogen peroxide as those infected with P15, which was significantly less than hemocytes infected with H99W (Figure 9).

3. Discussion

A number of invertebrate and non-mammalian vertebrate host models, such as zebrafish [15,16], worms [17,18], flies [19,20], amoebae [21,22] and moths [2,23], have been used to understand host-microbial interactions. These models have numerous benefits, such as reduced cost, ease of handling, less limitations on use, a more straightforward system, and often better genetic tools. Thus, these kinds of host models contribute greatly to understanding microbial pathogenesis. Serial passage of the pathogen, C. neoformans, through a distinct host environment, Galleria mellonella larvae, should result in adaptation of the pathogen to that environment. Since the passaged strain P15 showed increased growth in vitro in hemolymph-containing medium and had increased fungal burden in vivo at days 3 and 5, strain P15 successfully adapted to the Galleria environment compared to the parent strain, H99W. Our original hypothesis was that the adapted strain would increase in virulence after passage because it is known that serial passage within a host increases virulence [24]. We hypothesized that the increased virulence would be via an increased resistance to Galleria ROS, resulting in a higher level of intracellular replication. To begin to understand the process and mechanism of adaptation, virulence-related phenotypes were initially examined in P15 compared to the parent strain and the more virulent H99S strain, including capsule size and capsule shedding. As expected, the adapted strain had a larger capsule and also shed more capsule than the parent strain, consistent with its more virulent phenotype in Galleria larvae. However, while strain P15 showed indications of adaptation to the Galleria hemolymph environment, it did not show more or even equivalently virulent phenotypes in subsequent experiments. For example, P15 did not show the hypothesized increase in in vitro intracellular replication in mouse macrophages compared to the parent strain. Furthermore, strain P15 actually showed decreased survival in ex vivo human macrophages and a reduced ability to kill mouse macrophages in vitro.
To identify the molecular pathways responsible for these incongruent results, differential gene expression analyses of RNA from each strain grown in Galleria was undertaken by microarray analysis. Of the ~6500 genes in the C. neoformans genome, only 426 were changed between strains P15 and H99W. Of the 254 genes that were downregulated in strain P15 compared to strain H99W, the most downregulated genes were involved in metabolic processes and synthesis of secondary metabolites. The most upregulated genes were involved in basic cellular processes that can be regulated, particularly in a general stress response, such as the ribosome, spliceosome, and proteolysis [25]. However, in the general stress response, these genes are usually downregulated, not upregulated. The lack of evidence for either a general or specific stress response, particularly since both hemocytes and macrophages are known to produce hydrogen peroxide to combat and destroy fungi, was surprising [26,27]. Since both mammalian macrophages and hemocytes are known to kill fungal pathogens using similar mechanisms that involve ROS [26,28], genes involved in preventing oxidative damage would be expected to be upregulated in P15 compared to the parent strain. In a closer examination of the differentially expressed genes, only one gene involved in the host’s response via ROS was upregulated. All other genes related to ROS generation were either not significantly different or down-regulated. To identify any significant protein-protein interactions, as well as a network of interacting genes, the search tool for the retrieval of interacting genes/proteins (STRING) database was used. While the initial group of proteins had significantly more interactions and were biologically connected, deeper investigation did not reveal any significant protein clusters.
Taken together, these results suggested that strain P15′s adaptation to Galleria did not involve development of resistance to the host’s ROS response, but rather involved development of the ability to specifically subvert initiation of the ROS response in Galleria, but not in mouse or human macrophages. To confirm the suspected, continued sensitivity of P15 to ROS and RNS, in vitro sensitivity to hydrogen peroxide and reactive nitrogen was measured. Incubation with hydrogen peroxide exposes the yeast to reactive OH groups via the Fenton reaction [11], while incubation with sodium nitrite + succinic acid exposes the yeast to reactive NO groups [12]. Strain P15 was more susceptible to hydrogen peroxide than strain H99W at both 3 and 6 h of incubation. Since this result could be due to lack of a capsule, capsule was induced and the experiment was repeated. Again, strain P15 was more susceptible to hydrogen peroxide, but this time only after 6 h, suggesting that, as shown previously, the capsule protects the yeast against damage by ROS [29].
Along with continued sensitivity to hydrogen peroxide in vitro, this model of adaptation predicted that Galleria infected with strain P15 would produce less hydrogen peroxide than those infected with the parent strain. Indeed, hemocytes isolated from Galleria larvae infected with P15 produced significantly less hydrogen peroxide than those infected with either the parent strain H99W or the positive control, Candida albicans. However, P15 does not, in fact, have the ability to depress the entire immune response, as histological studies of larvae infected for two and five days indicate P15-infected larvae have significantly more and larger immune nodules at day 5, indicating that Galleria actually have an enhanced immune response to P15 compared to H99W, but are unable to effectively produce ROS [13], compared to larvae infected with the parent strain.
Finally, to gain a clearer understanding of how strain P15, which has a larger capsule and higher levels of capsule shedding than its parent strain, might reduce the Galleria ROS response, we examined the ability of C. neoformans mutant strains with different capsule shedding phenotypes to induce hydrogen peroxide production from hemocytes. Hemocytes from larvae infected with the liv7∆ mutant, which sheds two-fold less capsule than H99S, induced more hydrogen peroxide than those infected with P15, while hemocytes from larvae infected with the ima1∆ mutant, which sheds five- to ten-fold more capsule than H99S, induced less hydrogen peroxide than the parent strain, but equivalent amounts to P15. Both the liv7∆ and ima1∆ mutants have wildtype levels of surface-associated capsule [14], suggesting that the amount of shed GXM was affecting hemocyte production of ROS.
In summary, these studies began with the hypothesis that a serially passaged strain, P15, would show increased resistance to ROS compared to its parent strain. However, strain P15 showed increased susceptibility to hydrogen peroxide in vitro, which was unexpected, as 100 generations of exposure to ROS may have increased the strain’s resistance or defense against Galleria ROS. However, these data suggest that the fungus utilized another mechanism to adapt, by depressing the host’s ability to produce ROS, but not the host’s entire immune response. Furthermore, experiments using C. neoformans mutants with variation in capsule shedding phenotypes provided further support that the mechanism P15 utilized in adapting to Galleria was to increase capsule shedding, which allowed increased survival due to a reduction in hemocyte ROS production. However, this adaptation did not have the same effect on mouse or human macrophage ROS production, which is surprising given that the amount of shed GXM has been correlated with differences in virulence in mice [30] and humans [31]. This research highlights the use of serial passages to study host-pathogen relationships and has increased the understanding of how C. neoformans may interact differently with Galleria hemocytes compared to human and mouse macrophages.

4. Materials and Methods

4.1. Ethical Statement

The J774.16 cell line was obtained from Dr. Arturo Casadevall. The RAW264.7 cell line was provided by the American Type Culture Collection, Manassas, VA, USA.

4.2. Passages

C. neoformans serotype A strain H99W was grown in yeast peptone dextrose (YPD) broth from frozen stock at 37 °C for two–three days and then washed three times with phosphate-buffered saline (PBS) and counted. H99W cells (1 × 103 in 5 µL) were injected into the last left proleg of 15 larvae of the wax worm, Galleria mellonella and then larvae were incubated at 37 °C for three days. After three days, larvae were rinsed in 100% ethanol and the last left proleg was cut with scissors. Hemolymph was collected from each larva, diluted and serial dilutions were plated for CFU on YPD agar. Non-diluted hemolymph from each larva was pooled and counted. Penicillin/Streptomycin (10,000 U/mL, Invitrogen, catalog #15140122, Carlsbad, CA, USA) was added to the pooled hemolymph and 1 × 103 cells in 5 µL were injected into 15 larvae for the next passage.
Passages were continued until 100 generations of C. neoformans had occurred within G. mellonella. The doubling time was calculated based on the CFU of the initial inoculum and the average CFU from the 15 larvae from each passage using the following equation: Time infected*(1/Ln(Final CFU/Initial CFU)). The number of generations was calculated by dividing the time infected by the calculated doubling time for each passage.

4.3. In Vitro Growth Curves

Cultures of H99S, H99W and Pl5 were started from frozen stock and grown in YPD for 24 h. Cells were washed with PBS three times, counted using a hemocytometer, and diluted to 5000 cells/mL for each strain. These cells were then added to hemolymph extracted from healthy Galleria, YPD, minimal media, or a solution of 1:1 ratio of minimal media:hemolymph. To prevent melanization, all media containing hemolymph also contained 3 mg of 1-phenly-2-thiourea (PTU) crystals. Since PTU crystals may affect growth, cells were grown in all medias containing hemolymph with and without crystals. Cultures were then placed in multi-well plates and growth was measured for 24 h using the BioScreen C growth curve machine (Growth Curves USA, Piscataway, NJ, USA) and absorbance at 600 nm. The growth curves were repeated three times. Due to the non-orbital rotation of the machine and to avoid settling of the cells, cells were manually re-suspended after the first 8 h and then every 10 h for the duration of the study. Doubling times were calculated using the following formula: Time × (0.693/(Ln × (final OD/initial OD))). This experiment was repeated three times.

4.4. In Vivo Galleria Fungal Burden

Cultures of H99S, H99W and Pl5 were started from frozen stock and grown in YPD until log-phase. Cells were washed with PBS three times and counted. Five µL of each cell suspension (2000 cells) was injected into the last pro-leg of fifteen Galleria larvae for each strain for each time point. Hemolymph was collected from remaining larvae at days 1, 3 and 5. Serial dilutions of hemolymph were plated on YPD plates for 24 h and then the most appropriate dilution was plated on an additional YPD plate. Plates were incubated for two days at 37 °C and colonies counted to determine fungal burden. Fungal burden was normalized to the number of larvae collected at each day. This experiment was repeated three times.

4.5. Capsule Size

Capsule size in vitro was measured as described in [32,33]. This experiment was repeated three times.

4.6. GXM Release

To determine if there was a difference in the release of capsular GXM into the medium, the capsules of all strains were induced in Dulbecco’s modified Eagle medium (DMEM) (as for measuring capsule size). The next day, a capture enzyme-linked immunosorbent assay was used to determine the concentration of GXM in the supernatant, as described previously [34]. This experiment was repeated three times.

4.7. Mouse Macrophage Death and C. neoformans Intracellular Replication

To determine the susceptibility of macrophage-like J774.16 or RAW264.7 cells to killing by C. neoformans and to measure how well strains H99W and P15 replicated in macrophages, strains were incubated in a 2:1 multiplicity of infection with macrophage-like J774.16 or RAW264.7 cells in DMEM for 1 h at 37 °C + 5% CO2 (four wells per strain), washed with PBS, resuspended with DMEM and incubated for a further 18 h at 37 °C + 5% CO2, as described in [35]. The next day, cells were resuspended in 200 µL warm PBS containing 10 µg/mL propidium iodide and imaged as described in [35].
To measure C. neoformans intracellular replication, the saved media from the killing experiment (above) was combined with washes containing intracellular C. neoformans, diluted, and plated on YPD, as described in [35].

4.8. Isolation and Culture of Human Monocytes

Venous blood of healthy male and female volunteers was collected in accordance with the guidelines and approval of the Wright Center for Graduate Medical Education Institutional Review Board, Scranton, PA, USA. All blood donors were informed of the goals of the study and agreed by written consent prior to blood donation. Monocytes were isolated and cultured, as described in [35].

4.9. Human Macrophage Death and C. neoformans Intracellular Replication

To determine the susceptibility of human ex vivo macrophages to killing by C. neoformans and to measure how well strains H99W and P15 survived in human macrophages, macrophages were seeded into a 96-well plate (four wells per C. neoformans isolate) in Roswell Park Memorial Institute (RPMI)-1640 media containing 10% human serum, and 100 ng/mL lipopolysaccharide at a density of 2 × 104 macrophages and incubated overnight at 37 °C with 5% CO2. Macrophage death and C. neoformans intracellular replication were determined as described in Section 4.7 above and [35].

4.10. Resistance to Hydrogen Peroxide

H99W and P15 were grown from frozen stocks in YPD at 37 °C for 2–3 days, washed three times with water and counted. To determine resistance to hydrogen peroxide and oxidative stress, strains were tested as described [29]. Briefly, 2 × 103 cells were incubated with 0 or 0.5 mM hydrogen peroxide (Fisher, catalog #H325-100) for 3 or 6 h at 37 °C. At each time point, 100 µL of each sample was plated on YPD and grown at 37 °C for 2 days to determine CFU. Each condition was done in triplicate and the experiment was repeated twice. To determine how the induction of capsule affected resistance to hydrogen peroxide, capsule was induced as described above. After 18 h at 37 °C + 5% CO2, cells were collected, washed three times with water and resistance to hydrogen peroxide was tested. This experiment was repeated twice.

4.11. Resistance to Nitrosative Stress

H99W and P15 were grown from frozen stocks in YPD at 37 °C for two–three days, washed three times with minimal media and counted. To determine resistance to nitrosative stress, strains were tested as described in [36]. Briefly, 2 × 103 cells were incubated in minimal media alone or with 0.5 mM sodium nitrate (Sigma, catalog #S5506) and 25 mM succinic acid (Sigma, catalog #S9512) for 3 or 6 h at 37 °C. At each time point, 100 (3 h) or 50 (6 h) µL of each sample was plated on YPD and grown at 37 °C for 2 days to determine CFU. Each condition was done in triplicate and the experiment was repeated three times.

4.12. Microarray Analysis

The experimental design and the data for the microarray have been deposited in NCBI’s Gene Expression Omnibus [37] and are accessible through GEO Series accession number GSE59582. C. neoformans strains H99W and P15 were grown in YPD from frozen stock at 37 °C for two–three days and then washed three times with PBS and counted. H99W or P15 (1 ×103 cells in 5 µL) were injected into the last left proleg of 15 larvae of G. mellonella for each strain. After three days of incubation at 37 °C, larvae were rinsed in 100% ethanol (Sigma, catalog #E7023) and the last left proleg was cut with scissors. Hemolymph was collected from each larva and pooled by strain. The pooled hemolymph was centrifuged to pellet the cryptococcal cells, the hemolymph was removed and > 1 × 107 cells were used to extract RNA using the RNeasy Kit (catalog # 75142, Qiagen, Hilden, Germany) with removal of genomic DNA (Message Clean Kit, catalog # M601, GenHunter, Nashville, TN, USA). Two different pools of RNA were analyzed at Washington University, using the C. neoformans JEC21 genomic microarray, which was developed by the Cryptococcus Community Microarray Consortium with financial support from individual researchers and the Burroughs Wellcome Fund (http://genome.wustl.edu/services/microarray/cryptococcus_neoformans), as described in [38].

4.13. STRING Analysis

Protein interaction networks among the 400 differentially expressed genes identified by microarray analysis were investigated using STRING (ELIXIR, Cambridgeshire, UK, version 11.0). Four hundred genes were used as input and 325 genes were identified within the database. To visualize the interactions from the dataset as a whole, single nodes were hidden and the remaining nodes clustered using MCL, a Markov clustering algorithm embedded within STRING with the inflation parameter set to 3.

4.14. qRT-PCR

cDNA was made from both strains H99W and P15 from the two pools of RNA isolated from G. mellonella and used for the microarray (Quantitech Reverse Transcription kit, catalog #205311, Qiagen). qRT-PCR was performed using SYBR Green (Applied Biosystems Foster City, CA, USA, catalog #4309155), cDNA, and primer in an ABI PRISM® 7900HT Sequence Detection System (Applied Biosystems, Foster City, CA, USA). Each cDNA was amplified in quadruplicate, normalized with actin or glycerol-3-phosphate dehydrogenase and the fold change was determined [39]. Fold change for P15 was relative to H99W. Real-time qRT-PCR was repeated twice.

4.15. Hemocyte Hydrogen Peroxide Production

H99W, P15 and C. albicans (ATCC 90028) cultures were started from frozen stock and grown in YPD at 37 °C for 24 h (log-phase) prior to infection. Cells were washed with insect physiological saline (IPS), counted on a hemocytometer and diluted. Ten larvae per strain were infected with 2000 cells of H99W and P15 and 10,000 cells of C. albicans by injecting 5 µL of each cell suspension into the last pro-leg of each larvae. For the experiments using the GXM shedding mutants’ liv7Δ and ima1Δ, 10 larvae each were infected with 2000 cells of each strain. After 24 h of incubation, hemocytes were isolated from hemolymph by clipping a terminal leg and the hemolymph was removed by squeezing. Approximately 3 mg of PTU crystals were added to 1 mL of IPS to create a 1:200 dilution of PTU solution. One hundred microliters of the PTU solution was added to the extracted hemolymph from each strain infection to prevent melanization. Hemocytes were collected by centrifugation for 5 min at 400× g, counted with Trypan Blue to differentiate between dead and living hemocytes and resuspended in IPS. Cells were used immediately in the ThermoFisher Scientific Hydrogen Peroxide Assay Kit (ThermoFisher Scientific, Waltham, MA, USA) to determine the relative levels of H2O2 in hemocytes [40]. The assay was conducted by creating a 50 µM Amplex Red, 1 U/mL of Horse Radish Peroxidase (HRP) solution. Assays were performed in triplicate in a 96-well black plate. Each assay used 1000 cells per well in a total volume of 120 μL for each well. A SpectroMax M5 plate reader (Molecular Devices, San Jose, CA, USA) was used to monitor florescence every 2 min for 12–20 min with excitation at 560 nm and detection at 590 nm. All assays were normalized to cell counts for each strain. This experiment was repeated three times.

4.16. Histology

Two larvae were infected with 3000 cells of either H99W, P15, or H99S and incubated for two and five days at 37 °C. Larvae were then fixed in 4% paraformaldehyde at 4 °C for at least two days, bisected, sectioned, and stained with hematoxylin and eosin at the Translational Pathology Shared Resource of Vanderbilt University Medical Center. Images of each larva were captured using an Olympus BX60 microscope (Olympus Corporation, Tokyo, Japan) and the 10× objective. Nodule number and size were counted/measured using the center-most section of each larva.

4.17. Statistics

The in vivo Galleria fungal burden data was analyzed using analysis of variance (ANOVA) with simple contrasts. Capsule size and amount of GXM shed was analyzed using ANOVA. Intracellular replication of C. neoformans and macrophage killing were analyzed using the nonparametric Wilcoxon Rank Sums test, while resistance to hydrogen peroxide was analyzed using ANOVA with simple contrasts. The production of hydrogen peroxide by hemocytes was analyzed by linear regression and Tukey’s HSD for all pairwise comparisons. The number of nodules was analyzed using a chi-square test and differences in nodule size were analyzed using the nonparametric Wilcoxon Rank Sums test.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-0817/9/9/732/s1, Table S1: All genes showing gene expression changes greater than 2-fold in either direction between P15 and H99W. Highlighted genes were tested using qRT-PCR; Table S2. List of genes tested using qRT-PCR.

Author Contributions

Conceptualization, E.E.M. and R.L.S.-T.; methodology, M.F.A., S.M.T., J.R.S., E.E.M.; formal analysis, M.F.A., S.M.T., E.E.M.; resources, E.E.M. and R.L.S.-T.; data curation, M.F.A., S.M.T. and E.E.M.; writing—original draft preparation, E.E.M. and M.F.A.; writing—review and editing, E.E.M. and R.L.S.-T.; visualization, M.F.A., E.E.M. and R.L.S.-T.; supervision, E.E.M. and R.L.S.-T.; project administration, E.E.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding, but could not have been completed without start-up funding from both The Commonwealth Medical College and Middle Tennessee State University to E.E.M. M.F.A. received funding from the Undergraduate Research and Creative Activity Awards (URECA) committee at MTSU for this research.

Acknowledgments

We thank Jessica Brown for the liv7∆ and ima1∆ GXM secretion mutants. Some of the data in this paper are from an honor’s thesis submitted by M.F.A. in partial fulfillment of the requirements for a Bachelor of Science degree from Middle Tennessee State University.

Conflicts of Interest

E.E.M. was employed by M&P Associates, Inc. after leaving MTSU. M&P Associates, Inc. did not have any role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. All other authors declare no conflict of interest.

References

  1. Janbon, G.; Ormerod, K.L.; Paulet, D.; Byrnes, E.J., 3rd; Yadav, V.; Chatterjee, G.; Mullapudi, N.; Hon, C.C.; Billmyre, R.B.; Brunel, F.; et al. Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuation. PLoS Genet. 2014, 10, e1004261. [Google Scholar] [CrossRef]
  2. Mylonakis, E.; Moreno, R.; El Khoury, J.B.; Idnurm, A.; Heitman, J.; Calderwood, S.B.; Ausubel, F.M.; Diener, A. Galleria mellonella as a model system to study Cryptococcus neoformans pathogenesis. Infect. Immun. 2005, 73, 3842–3850. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Slepneva, I.A.; Glupov, V.V.; Sergeeva, S.V.; Khramtsov, V.V. EPR detection of reactive oxygen species in hemolymph of Galleria mellonella and Dendrolimus superans sibiricus (Lepidoptera) larvae. Biochem. Biophys. Res. Commun. 1999, 264, 212–215. [Google Scholar] [CrossRef] [PubMed]
  4. McClelland, E.E.; Casadevall, A.; Eisenman, H.C. Pathogenesis of Cryptococcus neoformans. In New Insights in Medical Mycology; Kavanagh, K., Ed.; Springer: Dordrecht, The Netherlands, 2007; Volume 1, pp. 131–157. [Google Scholar]
  5. Grijpstra, J.; Tefsen, B.; van Die, I.; de Cock, H. The Cryptococcus neoformans cap10 and cap59 mutant strains, affected in glucuronoxylomannan synthesis, differentially activate human dendritic cells. FEMS Immunol. Med. Microbiol. 2009, 57, 142–150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Chang, Y.C.; Kwon-Chung, K.J. Complementation of a capsule-deficient mutation of Cryptococcus neoformans restores its virulence. Mol. Cell. Biol. 1994, 14, 4912–4919. [Google Scholar] [CrossRef]
  7. Upadhya, R.; Campbell, L.T.; Donlin, M.J.; Aurora, R.; Lodge, J.K. Global transcriptome profile of Cryptococcus neoformans during exposure to hydrogen peroxide induced oxidative stress. PLoS ONE 2013, 8, e55110. [Google Scholar] [CrossRef] [Green Version]
  8. Missall, T.A.; Pusateri, M.E.; Lodge, J.K. Thiol peroxidase is critical for virulence and resistance to nitric oxide and peroxide in the fungal pathogen, Cryptococcus neoformans. Mol. Microbiol. 2004, 51, 1447–1458. [Google Scholar] [CrossRef]
  9. Fridovich, I. Superoxide radical and superoxide dismutases. Annu. Rev. Biochem. 1995, 64, 97–112. [Google Scholar] [CrossRef]
  10. Minagawa, N.; Koga, S.; Nakano, M.; Sakajo, S.; Yoshimoto, A. Possible involvement of superoxide anion in the induction of cyanide-resistant respiration in Hansenula anomala. FEBS Lett. 1992, 302, 217–219. [Google Scholar] [CrossRef] [Green Version]
  11. Fenton, H.J.H. Oxidation of tartaric acid in presence of iron. J. Chem. Soc. Trans. 1894, 65, 899–910. [Google Scholar] [CrossRef] [Green Version]
  12. Jolly, W.L. The inorganic chemistry of nitrogen. In The Inorganic Chemistry of Nitrogen; W.A. Benjamin, Inc.: New York, NY, USA, 1964; pp. 68–79. [Google Scholar] [CrossRef]
  13. Gillespie, J.P.; Kanost, M.R.; Trenczek, T. Biological mediators of insect immunity. Annu. Rev. Entomol. 1997, 42, 611–643. [Google Scholar] [CrossRef] [PubMed]
  14. Denham, S.T.; Verma, S.; Reynolds, R.C.; Worne, C.L.; Daugherty, J.M.; Lane, T.E.; Brown, J.C.S. Regulated release of cryptococcal polysaccharide drives virulence and suppresses immune cell infiltration into the central nervous system. Infect. Immun. 2018, 86, e00662-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Neely, M.N.; Pfeifer, J.D.; Caparon, M. Streptococcus-zebrafish model of bacterial pathogenesis. Infect. Immun. 2002, 70, 3904–3914. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Romero, A.; Saraceni, P.R.; Merino, S.; Figueras, A.; Tomas, J.M.; Novoa, B. The animal model determines the results of Aeromonas virulence factors. Front. Microbiol. 2016, 7, 1574. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Mylonakis, E.; Aballay, A. Worms and flies as genetically tractable animal models to study host-pathogen interactions. Infect. Immun. 2005, 73, 3833–3841. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Tan, M.W.; Rahme, L.G.; Sternberg, J.A.; Tompkins, R.G.; Ausubel, F.M. Pseudomonas aeruginosa killing of Caenorhabditis elegans used to identify P. aeruginosa virulence factors. Proc. Natl. Acad. Sci. USA 1999, 96, 2408–2413. [Google Scholar] [CrossRef] [Green Version]
  19. Sebald, J.; Morettini, S.; Podhraski, V.; Lass-Florl, C.; Lusser, A. CHD1 contributes to intestinal resistance against infection by P. aeruginosa in Drosophila melanogaster. PLoS ONE 2012, 7, e43144. [Google Scholar] [CrossRef]
  20. Lionakis, M.S.; Kontoyiannis, D.P. The growing promise of Toll-deficient Drosophila melanogaster as a model for studying Aspergillus pathogenesis and treatment. Virulence 2010, 1, 488–499. [Google Scholar] [CrossRef] [Green Version]
  21. Swanson, M.S.; Hammer, B.K. Legionella pneumophila pathogesesis: A fateful journey from amoebae to macrophages. Annu. Rev. Microbiol. 2000, 54, 567–613. [Google Scholar] [CrossRef]
  22. Steenbergen, J.N.; Shuman, H.A.; Casadevall, A. Cryptococcus neoformans interactions with amoebae suggest an explanation for its virulence and intracellular pathogenic strategy in macrophages. Proc. Natl. Acad. Sci. USA 2001, 98, 15245–15250. [Google Scholar] [CrossRef] [Green Version]
  23. Bergin, D.; Brennan, M.; Kavanagh, K. Fluctuations in haemocyte density and microbial load may be used as indicators of fungal pathogenicity in larvae of Galleria mellonella. Microbes Infect. 2003, 5, 1389–1395. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Ebert, D. Experimental evolution of parasites. Science 1998, 282, 1432–1435. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Petersohn, A.; Brigulla, M.; Haas, S.; Hoheisel, J.D.; Volker, U.; Hecker, M. Global analysis of the general stress response of Bacillus subtilis. J. Bacteriol. 2001, 183, 5617–5631. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Bergin, D.; Reeves, E.P.; Renwick, J.; Wientjes, F.B.; Kavanagh, K. Superoxide production in Galleria mellonella hemocytes: Identification of proteins homologous to the NADPH oxidase complex of human neutrophils. Infect. Immun. 2005, 73, 4161–4170. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Ikeda, T.; Little, J.R. Deactivation of macrophage oxidative burst in vitro by different strains of Histoplasma capsulatum. Mycopathologia 1995, 132, 133–141. [Google Scholar] [CrossRef] [PubMed]
  28. Romani, L. Immunity to fungal infections. Nat. Rev. Immunol. 2004, 11, 275–288. [Google Scholar] [CrossRef]
  29. Zaragoza, O.; Chrisman, C.J.; Castelli, M.V.; Frases, S.; Cuenca-Estrella, M.; Rodriguez-Tudela, J.L.; Casadevall, A. Capsule enlargement in Cryptococcus neoformans confers resistance to oxidative stress suggesting a mechanism for intracellular survival. Cell. Microbiol. 2008, 10, 2043–2057. [Google Scholar] [CrossRef] [Green Version]
  30. Fries, B.C.; Taborda, C.P.; Serfass, E.; Casadevall, A. Phenotypic switching of Cryptococcus neoformans occurs in vivo and influences the outcome of infection. J. Clin. Investig. 2001, 108, 1639–1648. [Google Scholar] [CrossRef]
  31. Fernandes, K.E.; Brockway, A.; Haverkamp, M.; Cuomo, C.A.; van Ogtrop, F.; Perfect, J.R.; Carter, D.A. Phenotypic variability correlates with clinical outcome in Cryptococcus isolates obtained from Botswanan HIV/AIDS patients. mBio 2018, 9, e02016-18. [Google Scholar] [CrossRef] [Green Version]
  32. Charlier, C.; Chretien, F.; Baudrimont, M.; Mordelet, E.; Lortholary, O.; Dromer, F. Capsule structure changes associated with Cryptococcus neoformans crossing of the blood-brain barrier. Am. J. Pathol. 2005, 166, 421–432. [Google Scholar] [CrossRef] [Green Version]
  33. Jones, T.H.; McClelland, E.E.; McFeeters, H.; McFeeters, R.L. Novel antifungal activity for the lectin scytovirin: Inhibition of Cryptococcus neoformans and Cryptococcus gattii. Front. Microbiol. 2017, 8, 755. [Google Scholar] [CrossRef] [PubMed]
  34. Casadevall, A.; Mukherjee, J.; Scharff, M.D. Monoclonal antibody based ELISAs for cryptococcal polysaccharide. J. Immunol. Methods 1992, 154, 27–35. [Google Scholar] [CrossRef]
  35. McClelland, E.E.; Hobbs, L.M.; Rivera, J.; Casadevall, A.; Potts, W.K.; Smith, J.M.; Ory, J.J. The role of host gender in the pathogenesis of Cryptococcus neoformans infections. PLoS ONE 2013, 8, e63632. [Google Scholar] [CrossRef] [Green Version]
  36. Alspaugh, J.A.; Granger, D.L. Inhibition of Cryptococcus neoformans replication by nitrogen oxides supports the role of these molecules as effectors of macrophage-mediated cytostasis. Infect. Immun. 1991, 59, 2291–2296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Edgar, R.; Domrachev, M.; Lash, A.E. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2002, 30, 207–210. [Google Scholar] [CrossRef] [Green Version]
  38. McClelland, E.E.; Casadevall, A. Strain-related differences in antibody-mediated changes in gene expression are associated with differences in capsule and location of binding. Fungal Genet. Biol. 2012, 49, 227–234. [Google Scholar] [CrossRef] [Green Version]
  39. Pfaffl, M.W. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001, 29, e45. [Google Scholar] [CrossRef]
  40. Vasicek, O.; Papezikova, I.; Hyrsl, P. Fluorimetric determination of hydrogen peroxide production by the haemocytes of the wax moth Galleria mellonella (Lepidoptera: Pyralidae). Eur. J. Entomol. 2011, 108, 481–485. [Google Scholar] [CrossRef] [Green Version]
Pathogens 09 00732 g001 550
Figure 1. Galleria-adapted strain generation. Cryptococcus neoformans strain H99W was serially passaged in Galleria mellonella larvae 15 times to develop the adapted strain P15. One thousand C. neoformans cells were used to infect 15 larvae for each three-day passage. On the third day, hemolymph was collected from all remaining larvae, pooled, counted and used to infect the next passage. Remaining hemolymph was frozen and stored at −80 °C.
Figure 1. Galleria-adapted strain generation. Cryptococcus neoformans strain H99W was serially passaged in Galleria mellonella larvae 15 times to develop the adapted strain P15. One thousand C. neoformans cells were used to infect 15 larvae for each three-day passage. On the third day, hemolymph was collected from all remaining larvae, pooled, counted and used to infect the next passage. Remaining hemolymph was frozen and stored at −80 °C.
Pathogens 09 00732 g001
Pathogens 09 00732 g002 550
Figure 2. In vivo fungal burden of the Galleria-adapted strain P15, the parent strain H99W, and the virulent strain H99S. Fifteen Galleria larvae were infected with 2000 cells of each strain for each time point. Fungal burden was quantified from hemolymph collected from 5–15 larvae at days 1, 3, and 5 and normalized to the number of larvae collected at each day. Data are numbers from two separate yeast peptone dextrose plates for each time point. Error is standard error of the mean. The data are representative of three independent experiments. Numbers along the bottom represent the sample size. * p = 0.019, ** p < 0.0001, analysis of variance with simple contrasts. CFU, colony forming units.
Figure 2. In vivo fungal burden of the Galleria-adapted strain P15, the parent strain H99W, and the virulent strain H99S. Fifteen Galleria larvae were infected with 2000 cells of each strain for each time point. Fungal burden was quantified from hemolymph collected from 5–15 larvae at days 1, 3, and 5 and normalized to the number of larvae collected at each day. Data are numbers from two separate yeast peptone dextrose plates for each time point. Error is standard error of the mean. The data are representative of three independent experiments. Numbers along the bottom represent the sample size. * p = 0.019, ** p < 0.0001, analysis of variance with simple contrasts. CFU, colony forming units.
Pathogens 09 00732 g002
Pathogens 09 00732 g003 550
Figure 3. Capsule diameter and shedding of the pre-passage H99W, P15, and the virulent H99S strains. Graphs showing capsule size (A) and capsule shedding (B) for strains H99W, the Galleria-adapted strain P15, and the virulent H99S strain for comparison. Cell body diameter and capsule diameter were measured using the Axiovision software (Carl Zeiss Microscopy, LLC, White Plains, NY, USA). Capsule diameter was calculated by subtracting the cell body diameter from the diameter of the entire cell + capsule and dividing by two. For capsule size, the mean and standard deviation of two independent experiments are depicted. Sample size is 30 cells per strain. * p < 0.05, analysis of variance with Tukey’s honestly significant difference test. For capsule shedding, the mean and standard deviation of three independent experiments are depicted. ** p = 0.0017, analysis of variance. Sample sizes are 7, 7 and 3 for H99W, P15 and H99S, respectively.
Figure 3. Capsule diameter and shedding of the pre-passage H99W, P15, and the virulent H99S strains. Graphs showing capsule size (A) and capsule shedding (B) for strains H99W, the Galleria-adapted strain P15, and the virulent H99S strain for comparison. Cell body diameter and capsule diameter were measured using the Axiovision software (Carl Zeiss Microscopy, LLC, White Plains, NY, USA). Capsule diameter was calculated by subtracting the cell body diameter from the diameter of the entire cell + capsule and dividing by two. For capsule size, the mean and standard deviation of two independent experiments are depicted. Sample size is 30 cells per strain. * p < 0.05, analysis of variance with Tukey’s honestly significant difference test. For capsule shedding, the mean and standard deviation of three independent experiments are depicted. ** p = 0.0017, analysis of variance. Sample sizes are 7, 7 and 3 for H99W, P15 and H99S, respectively.
Pathogens 09 00732 g003
Pathogens 09 00732 g004 550
Figure 4. Fungal burden and macrophage death of J774.16 macrophages infected with the parent strain H99W and the Galleria-adapted strain P15. (A). Fungal burden in human ex vivo macrophages. The mean and standard deviation are depicted showing decreased fungal burden in human ex vivo macrophages incubated for 18 h with strain P15 compared to the pre-passage parent strain H99W. The graph depicts data from two independent experiments that used macrophages from two different donors for each experiment. Sample size is 24 counts for each strain. (B). Strain P15 kills less J774.16 macrophages. The mean and standard deviation are depicted showing decreased killing of J774.16 macrophages by strain P15 after incubation for 24 h compared to the pre-passage parent strain H99W. The graph depicts data from two independent experiments. Sample size is eight wells for each strain. Images of J774.16 cells infected with H99W (C) or P15 (D). Red stain is propidium iodide. Images were captured with a Nikon (Nikon, Tokyo, Japan) Eclipse Ti inverted fluorescent microscope at 15× magnification.
Figure 4. Fungal burden and macrophage death of J774.16 macrophages infected with the parent strain H99W and the Galleria-adapted strain P15. (A). Fungal burden in human ex vivo macrophages. The mean and standard deviation are depicted showing decreased fungal burden in human ex vivo macrophages incubated for 18 h with strain P15 compared to the pre-passage parent strain H99W. The graph depicts data from two independent experiments that used macrophages from two different donors for each experiment. Sample size is 24 counts for each strain. (B). Strain P15 kills less J774.16 macrophages. The mean and standard deviation are depicted showing decreased killing of J774.16 macrophages by strain P15 after incubation for 24 h compared to the pre-passage parent strain H99W. The graph depicts data from two independent experiments. Sample size is eight wells for each strain. Images of J774.16 cells infected with H99W (C) or P15 (D). Red stain is propidium iodide. Images were captured with a Nikon (Nikon, Tokyo, Japan) Eclipse Ti inverted fluorescent microscope at 15× magnification.
Pathogens 09 00732 g004
Pathogens 09 00732 g005 550
Figure 5. Protein interaction network of differentially expressed genes. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to identify protein-protein interaction (PPI) networks among the differentially expressed genes. While no significant differences were found within the dataset, the number of PPIs within the dataset was significant (p = 2.24 × 10−5), indicating biological significance. Unconnected nodes are not shown and data is clustered using the Markov Clustering Algorithm, MCL.
Figure 5. Protein interaction network of differentially expressed genes. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to identify protein-protein interaction (PPI) networks among the differentially expressed genes. While no significant differences were found within the dataset, the number of PPIs within the dataset was significant (p = 2.24 × 10−5), indicating biological significance. Unconnected nodes are not shown and data is clustered using the Markov Clustering Algorithm, MCL.
Pathogens 09 00732 g005
Pathogens 09 00732 g006 550
Figure 6. Fungal burden of the parent strain H99W and the adapted strain P15 in the presence of oxidative stress. (A). The mean and standard deviation are depicted showing that strain P15 is significantly more susceptible to 0.5 mM hydrogen peroxide than H99W at both three and six h of incubation. The graph depicts data from two independent experiments. Numbers at the bottom represent the sample size. (B). The mean and standard deviation are depicted showing increased susceptibility of strain P15 with induced capsule to 0.5 mM hydrogen peroxide after six h of incubation compared to strain H99W with induced capsule. The graph depicts data from two independent experiments. Numbers at the bottom represent the sample size. Significance was tested using analysis of variance with simple contrasts. CFU: colony forming units.
Figure 6. Fungal burden of the parent strain H99W and the adapted strain P15 in the presence of oxidative stress. (A). The mean and standard deviation are depicted showing that strain P15 is significantly more susceptible to 0.5 mM hydrogen peroxide than H99W at both three and six h of incubation. The graph depicts data from two independent experiments. Numbers at the bottom represent the sample size. (B). The mean and standard deviation are depicted showing increased susceptibility of strain P15 with induced capsule to 0.5 mM hydrogen peroxide after six h of incubation compared to strain H99W with induced capsule. The graph depicts data from two independent experiments. Numbers at the bottom represent the sample size. Significance was tested using analysis of variance with simple contrasts. CFU: colony forming units.
Pathogens 09 00732 g006
Pathogens 09 00732 g007 550
Figure 7. Hydrogen peroxide production in hemocytes of Galleria infected with the parent strain H99W, the adapted strain P15, and C. albicans. Ten larvae were infected with 2000 cells. Hemocytes were collected, pooled by strain, and assayed for hydrogen peroxide production at 24 h post-infection using a fluorescent assay. IPS = insect physiological saline. Lines are best fit linear regression lines where the slopes of the lines are compared using Tukey’s HSD for all pairwise comparisons. Data are the average of three independent experiments. * p = 0.002, ** p < 0.0001.
Figure 7. Hydrogen peroxide production in hemocytes of Galleria infected with the parent strain H99W, the adapted strain P15, and C. albicans. Ten larvae were infected with 2000 cells. Hemocytes were collected, pooled by strain, and assayed for hydrogen peroxide production at 24 h post-infection using a fluorescent assay. IPS = insect physiological saline. Lines are best fit linear regression lines where the slopes of the lines are compared using Tukey’s HSD for all pairwise comparisons. Data are the average of three independent experiments. * p = 0.002, ** p < 0.0001.
Pathogens 09 00732 g007
Pathogens 09 00732 g008 550
Figure 8. Immune response of Galleria infected with the parent strain H99W, the adapted strain P15, and the virulent H99S strain. Two larvae were infected with 3000 cells of either H99W, P15, or H99S and incubated for five days. Larvae were then fixed, bisected, sectioned, and stained with hematoxylin and eosin. Nodule number and size were counted/measured using the center-most section of each larva. A representative image for H99W (A) and P15 (B) are shown. Black arrows indicate nodules. Small purple dots in (B) within white spaces are P15 not enclosed within nodules. Comparison of the nodule number and nodule size for each strain is shown in (C) and (D), respectively. The mean and standard deviation of the number of nodules per larva are depicted (C). Significance was tested using Χ2, ** p < 0.0001. The mean and standard deviation of the size of the nodules are depicted for both larvae (D). Significance was tested using the nonparametric Wilcoxon Rank Sums test, ** p < 0.0001.
Figure 8. Immune response of Galleria infected with the parent strain H99W, the adapted strain P15, and the virulent H99S strain. Two larvae were infected with 3000 cells of either H99W, P15, or H99S and incubated for five days. Larvae were then fixed, bisected, sectioned, and stained with hematoxylin and eosin. Nodule number and size were counted/measured using the center-most section of each larva. A representative image for H99W (A) and P15 (B) are shown. Black arrows indicate nodules. Small purple dots in (B) within white spaces are P15 not enclosed within nodules. Comparison of the nodule number and nodule size for each strain is shown in (C) and (D), respectively. The mean and standard deviation of the number of nodules per larva are depicted (C). Significance was tested using Χ2, ** p < 0.0001. The mean and standard deviation of the size of the nodules are depicted for both larvae (D). Significance was tested using the nonparametric Wilcoxon Rank Sums test, ** p < 0.0001.
Pathogens 09 00732 g008
Pathogens 09 00732 g009 550
Figure 9. Hydrogen peroxide production from hemocytes infected with glucuronoxylomannan (GXM) secretion mutants (liv7∆ and ima1∆) of C. neoformans. Ten larvae were infected with 2000 cells. Hemocytes were collected, pooled by strain, and assayed for hydrogen peroxide production at 24 h post-infection using a fluorescent assay. Lines are best fit linear regression lines. The slopes of the lines are compared using Tukey’s HSD for all pairwise comparisons. Data shown are one representative experiment. The experiment was repeated three times. ** p < 0.0001.
Figure 9. Hydrogen peroxide production from hemocytes infected with glucuronoxylomannan (GXM) secretion mutants (liv7∆ and ima1∆) of C. neoformans. Ten larvae were infected with 2000 cells. Hemocytes were collected, pooled by strain, and assayed for hydrogen peroxide production at 24 h post-infection using a fluorescent assay. Lines are best fit linear regression lines. The slopes of the lines are compared using Tukey’s HSD for all pairwise comparisons. Data shown are one representative experiment. The experiment was repeated three times. ** p < 0.0001.
Pathogens 09 00732 g009
Table
Table 1. In vitro doubling times. The length of time (h) that it took for the adapted P15 strain, the parent strain and H99S to double their cell numbers in Galleria hemolymph.
Table 1. In vitro doubling times. The length of time (h) that it took for the adapted P15 strain, the parent strain and H99S to double their cell numbers in Galleria hemolymph.
StrainExperiment 1Experiment 2Experiment 3
H99S3.497.2610.53
P152.142.032.50
H99W3.163.300.95

Share and Cite

MDPI and ACS Style

Ali, M.F.; Tansie, S.M.; Shahan, J.R.; Seipelt-Thiemann, R.L.; McClelland, E.E. Serial Passage of Cryptococcus neoformans in Galleria mellonella Results in Increased Capsule and Intracellular Replication in Hemocytes, but Not Increased Resistance to Hydrogen Peroxide. Pathogens 2020, 9, 732. https://doi.org/10.3390/pathogens9090732

AMA Style

Ali MF, Tansie SM, Shahan JR, Seipelt-Thiemann RL, McClelland EE. Serial Passage of Cryptococcus neoformans in Galleria mellonella Results in Increased Capsule and Intracellular Replication in Hemocytes, but Not Increased Resistance to Hydrogen Peroxide. Pathogens. 2020; 9(9):732. https://doi.org/10.3390/pathogens9090732

Chicago/Turabian Style

Ali, Muhammad Fariz, Stephen M. Tansie, John R. Shahan, Rebecca L. Seipelt-Thiemann, and Erin E. McClelland. 2020. "Serial Passage of Cryptococcus neoformans in Galleria mellonella Results in Increased Capsule and Intracellular Replication in Hemocytes, but Not Increased Resistance to Hydrogen Peroxide" Pathogens 9, no. 9: 732. https://doi.org/10.3390/pathogens9090732

APA Style

Ali, M. F., Tansie, S. M., Shahan, J. R., Seipelt-Thiemann, R. L., & McClelland, E. E. (2020). Serial Passage of Cryptococcus neoformans in Galleria mellonella Results in Increased Capsule and Intracellular Replication in Hemocytes, but Not Increased Resistance to Hydrogen Peroxide. Pathogens, 9(9), 732. https://doi.org/10.3390/pathogens9090732

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop