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. 2014 Oct 17;5:5194. doi: 10.1038/ncomms6194

‘Division of labour’ in response to host oxidative burst drives a fatal Cryptococcus gattii outbreak

Kerstin Voelz 1,2, Simon A Johnston 3,4, Leanne M Smith 1, Rebecca A Hall 1, Alexander Idnurm 5, Robin C May 1,2,a
PMCID: PMC4208095  EMSID: EMS60328  PMID: 25323068

Abstract

Cryptococcus gattii is an emerging intracellular pathogen and the cause of the largest primary outbreak of a life-threatening fungal disease in a healthy population. Outbreak strains share a unique mitochondrial gene expression profile and an increased ability to tubularize their mitochondria within host macrophages. However, the underlying mechanism that causes this lineage of C. gattii to be virulent in immunocompetent individuals remains unexplained. Here we show that a subpopulation of intracellular C. gattii adopts a tubular mitochondrial morphology in response to host reactive oxygen species. These fungal cells then facilitate the rapid growth of neighbouring C. gattii cells with non-tubular mitochondria, allowing for effective establishment of the pathogen within a macrophage intracellular niche. Thus, host reactive oxygen species, an essential component of the innate immune response, act as major signalling molecules to trigger a ‘division of labour’ in the intracellular fungal population, leading to increased pathogenesis within this outbreak lineage.

Inline graphicOutbreak strains of the pathogenic fungus Cryptococcus gattii display an increased ability to form tubular mitochondria. Here, Voelz et al. show that mitochondrial tubularization is induced by host reactive oxygen species within macrophages and facilitates rapid growth of neighbouring fungal cells.

Fungal diseases are an emerging threat to human and animal health1,2. The fungal pathogens Cryptococcus neoformans and C. gattii are both causative agents of cryptococcosis, a disease with an estimated annual global burden of nearly 1 million cases and 625,000 deaths3. C. neoformans primarily infects immunocompromised patients (for example, patients with HIV/AIDS), but has also been reported in apparently immunocompetent individuals in the Far East4,5. In contrast, C. gattii is a primary pathogen that causes cryptococcosis in otherwise healthy individuals6,7, although rare cases in HIV/AIDS patients in Malawi and the United States have also been reported8,9.

In 1999, a C. gattii outbreak of fungal meningitis and meningoencephalitis started on Vancouver Island, British Columbia, Canada10,11,12. This outbreak has since spread to the Canadian mainland and the North-West of the United States13,14,15,16, and currently accounts for more than 400 cases17,18,19,20. C. gattii is divided into four separate molecular types VGI–VGIV17,21,22. The original outbreak on Vancouver Island was mainly caused by strains belonging to the major outbreak lineage VGIIa12. A second lineage VGIIb was found in the same area but shows significantly lower virulence12,21. In contrast, a later outbreak expansion to Oregon, Northwest United States, was attributed to the VGIIc outbreak lineage and exhibits similar virulence to VGIIa14,22.

There has been intense interest in explaining the origin12,23,24 and expansion11,14 of C. gattii disease, as well as characterizing features unique to the outbreak strains25,26. Our initial investigations demonstrated that outbreak strains proliferate rapidly within host macrophages, a trait that positively correlates with virulence in a mouse model of cryptococcosis. In addition, we have shown that this increased intracellular proliferation is associated with an enhanced ability of the outbreak strains to form tubular mitochondria25. However, the underlying mechanism causing the outbreak lineage to be virulent in immunocompetent individuals remains unexplained: a critical question from both an infectious disease and a fundamental microbiology perspective.

Here we show that reactive oxygen species (ROS), an essential component of the host innate immune response, act as a major signalling molecule to facilitate intracellular survival of this highly pathogenic fungal lineage. We demonstrate that within macrophages host ROS induce a division of labour in C. gattii populations, resulting in a subpopulation of intracellular fungal cells with tubular mitochondria. These quiescent C. gattii cells facilitate the rapid proliferation of the non-tubular pathogen population, establishing a reservoir of pathogenic fungi within the macrophage. This presents a rare example of social evolution in a pathogen, in which the costly behaviour of some individuals (entry into a non-proliferative state) confers a fitness benefit to the whole community, resulting in an overall population expansion.

Results

Mitochondrial tubularization is specific to outbreak strains

We previously reported that outbreak strains have an increased ability to proliferate within macrophages, a feature that correlates with adoption of a tubular mitochondrial morphology25. As this observation was based on a selected number of C. gattii outbreak strains, we initially tested whether this correlation is a general phenomenon of pathogenic cryptococci or whether this trait is specific to C. gattii. We tested 24 C. gattii and 14 C. neoformans clinical and environmental isolates from a range of molecular types (VGI, VGII, VGIII, VGIV and VNI, VNII, VNIV, respectively) (Table 1) for intracellular proliferative capacity and mitochondrial tubularization after engulfment by macrophages. The ability to switch mitochondrial morphology in concert with increased proliferation in macrophages was unique to C. gattii isolates (Pearson correlation: R2=0.802, P<0.0001, n=24) (Fig. 1a, Table 2 and Supplementary Fig. 1) and there was no association between tubularization and proliferation rates across 14 isolates from the related opportunistic pathogen C. neoformans (Pearson correlation: R2=0.109, P=0.249, n=14) (Fig. 1b and Table 2). Intracellular proliferation has previously been shown to be a good indicator of virulence25 and we could reproduce this correlation with intracellular proliferation rate (IPR) values and previously published ST50 survival data from both BALB/c and A/Jcr murine models (Pearson correlation: R2=0.356, P=0.015, n=16)14,24 (Fig. 1c). Taken together, mitochondrial tubularization correlates with intracellular proliferative potential and is a specific feature of C. gattii outbreak strains.

Table 1. Cryptococcus strains and details about serotype, genotype, AFLP type and source.

Species and strains Sero-type Geno-type AFLP Source
C. gattii CBS10089 B VGII 6 Clinical isolate from Greece
C. gattii CBS10090 B VGII 6 Clinical isolate from Greece
C. gattii CBS10101 C VGIV 7 Isolate from King Cheeta, South Africa
C. gattii CBS10485 B VGIIa 6 Clinical isolate from Danish tourist who had visited Vancouver Island
C. gattii CBS6955 C VGIII 5 Clinical isolate, California, USA
C. gattii CBS6993 B VGIII 5 Clinical isolate, cerebrospinal fluid, California, USA
C. gattii CDCF3016 B VGIIa 6 Isolate from dead wild Dall’s porpoise from the shores of an island close to Vancouver Island, Canada
C. gattii NIH312xCBS10090 progeny 5 N/A N/A N/A Progeny from cross between C. gattii strains NIH312 and CBS10090
C. gattii EJB18 B VGIIc 6 Clinical isolate, Oregon, USA
C. gattii EJB52 B VGIIc 6 Clinical isolate, Oregon, USA
C. gattii ICB180 B VGII 6 Environmental isolate, Eucalyptus tree, Brazil
C. gattii ICB184 B VGII 6 Environmental isolate, tree, Brazil
C. gattii LA362 B VGII 6 Isolate from parrot litter, Jaboticabal, Brazil
C. gattii LMM265 B VGII 6 Clinical isolate, Brazil
C. gattii WM276 B VGI 4 Environmental isolate, Australia
C. gattii NIH312 C VGIII 5 Clinical isolate
C. gattii R265_GFP14 B VGIIa 6 GFP expressing C. gattii R265
C. gattii R265 B VGIIa 6 Clinical isolate from Duncan, British Columbia, Canada
C. gattii CDCR271 B VGIIa 6 Clinical isolate, immunocompetent patient, Kelowna, British Columbia, Canada
C. gattii CDCF2932 B VGIIa 6 Clinical isolate, immunocompetent male, British Columbia, Canada
C. gattii ENV152 B VGIIa 6 Environmental isolate, Alder tree, Vancouver Island, Canada
C. gattii CBS8684 B VGII 6 Environmental isolate, wasp nest, Uruguay
C. gattii CBS7750 B VGIIa 6 Environmental isolate, E. camaldulensis, USA
C. gattii CBS1930 B VGIIb 6 Sick goat, Aruba
C. gattii CBS7229 B VGI 4 Clinical isolate, meningitis, China
C. gattii AIg54 B VGIIa 6 HEM15-GFP tagged strain derived from R265
C. gattii AIg56 B VGII 6 HEM15-GFP tagged strain derived from CBS1930
C. neoformans ATCC90112 A VNI 1 Clinical isolate, cerebrospinal fluid, USA
C. neoformans CBS8336 A VNI 1 Environmental isolate, wood of Cassia tree, Brazil
C. neoformans H99 A VNI 1 Clinical isolate, USA
C. neoformans BD5 D VNIV 2 Clinical isolate, AIDS patient, France
C. neoformans CBS6995 D VNIV 2 Clinical isolate, USA
C. neoformans JEC21 D VNIV 2 Derived from a clinical isolate, AIDS patient, USA
C. neoformans A1-84-14 A VNI 1 Environmental isolate, pigeon guano, California, USA
C. neoformans A5-35-17 A VNI 1 Environmental isolate, pigeon guano, North Carolina, USA
C. neoformans Tu406-1 A VNII 1A Environmental isolate, Mopane tree bark, Botswana
C. neoformans A1-38-2 A VNI 1 Environmental isolate, pigeon guano, North Carolina, USA
C. neoformans Tu369-2 A VNII 1A Environmental isolate, Mopane tree bark, Botswana
C. neoformans A4-34-6 A VNI 1 Environmental isolate, pigeon guano, North Carolina, USA
C. neoformans A7-35-23 A VNI 1 Environmental isolate, soil, North Carolina, USA
C. neoformans A1-35-8 A VNI 1 Environmental isolate, pigeon guano, North Carolina, USA
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AFLP, amplified fragment length polymorphism; GFP, green fluorescent protein.

Strain references can be found in Supplementary Table 1.

Figure 1. Mitochondrial tubularization is specific to outbreak strains.

Figure 1

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(a) The formation of tubular mitochondria in response to encounter of the intracellular niche positively correlates (linear regression) with the ability to proliferate within macrophages (Pearson correlation: R2=0.802; P<0.0001, n=24). Data were obtained for 24 C. gattii strains from at least four independent experiments determining IPR and three independent experiments examining mitochondrial morphology in 324–1,858 intracellular yeasts. (b) No correlation between yeast ability to proliferate within macrophages and formation of tubular mitochondria was observed in the opportunistic pathogen sister species C. neoformans (Pearson correlation: R2=0.109, P=0.249, n=14). Data were obtained for 14 C. neoformans strains from at least three individual experiments determining IPR and three individual experiments examining mitochondrial morphology in 1,410–3,589 intracellular yeasts (Supplementary Table 2). (c) Intracellular proliferation rate data significantly correlate (linear regression) with published ST50 survival data from the murine BALB/c and A/Jcr models (Pearson correlation, R2=0.356, P=0.015, n=16)14,24.

Table 2. Proliferation rates (IPR) and percentage of yeast with tubular mitochondria (tubularization) after encounter of the intracellular macrophage niche for C. gattii and C. neoformans strains with different genotypes.

Strain IPR Tubularization (%) Genotype
C. gattii
 ICB180 0.7±0.1 9.2±1.0 VGII
 CBS10089 0.8±0.1 13.8±5.4 VGII
 ICB184 0.8±0.1 20.5±7.4 VGII
 CBS6955 0.9±0.1 7.5±3.5 VGIII
 NIH312 0.9±0.1 8.6±3.6 VGIII
 CBS8684 1.0±0.2 6.2±1.8 VGII
 CBS7229 1.0±0.1 20.7±1.0 VGI
 WM276 1.0±0.1 13.8±2.0 VGI
 NIH312xCBS10090 Progeny 5 1.1±0.2 6.7±1.3 VGIII x VGII
 CBS1930 1.1±0.1 23.9±9.4 VGIIb
 CBS10101 1.2±0.1 20.4±7.7 VGIV
 EJB52 1.4±0.1 17.5±7.4 VGIIc
 CBS6993 1.6±0.2 29.4±12.3 VGIII
 LA362 1.6±0.3 30.7±4.0 VGII
 CDCF3016 1.7±0.1 31.1±6.3 VGIIa
 EJB18 1.7±0.1 43.5±19.5 VGIIc
 R265 1.8±0.1 58.4±17.6 VGIIa
 CBS10090 1.9±0.2 46.9±10.4 VGII
 CBS10485 1.9±0.1 37.9±8.9 VGIIa
 R265_GFP14 2.0±0.1 51.2±8.1 VGIIa
 CDCR271 2.1±0.4 48.4±5.7 VGIIa
 CDCF2932 2.2±0.1 52.8±13.4 VGIIa
 ENV152 2.3±0.2 44.5±6.1 VGIIa
 LMM265 2.3±0.2 34.6±14.1 VGII
       
C. neoformans
 CBS8336* 1.2±0.4 53.3±7.1 VNI
 A5_35_17 1.3±0.1 65.1±10.4 VNI
 CBS6995* 1.3±0.3 55.2±5.3 VNIV
 H99* 1.4±0.2 37.5±4.9 VNI
 A4_34_6 1.8±0.2 69.0±10.6 VNI
 Tu_369_1 1.9±0.1 23.2±12.3 VNII
 BD5* 1.9±0.3 31.0±5.9 VNIV
 A1_38_2 2.0±0.2 54.5±13.0 VNI
 JEC21* 2.1±0.2 39.9±7.5 VNIV
 A1_35_8 2.2±0.2 61.1±3.8 VNI
 A7_35_23 2.2±0.1 13.8±12.4 VNI
 Tu_406_1 2.6±0.3 37.0±10.0 VNII
 ATCC90112* 2.9±0.2 32.3±9.2 VNI
 A1_84_14 3.4±0.2 44.8±5.6 VNI
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IPR, intracellular proliferation rate.

IPR and tubularization data is presented as mean averages with s.e.m. (values indicated by * were taken from ref. 57). Categorical tubularization data was obtained from three independent experimental repeats examining between 325 and 3,598 yeast. Outbreak strains are highlighted in red.

Tubularization is initiated rapidly intracellularly

To explore the mitochondrial tubularization phenomenon further, we generated C. gattii strains with genetically encoded green fluorescent protein (GFP)-tagged mitochondria in either an outbreak background (AIg54) or in a closely related but non-outbreak background25,26 (AIg56), and verified that these transgenic strains were unaltered in their ability to parasitize macrophages (Supplementary Fig. 2a–d). These parental strains were chosen, as they show intrinsically similar, yet significantly different, abilities to proliferate intracellularly (outbreak strain R265 shows an IPR of 1.8±0.1, while the IPR of non-outbreak strain CBS1930 is 1.3±0.1, n=8, P=0.02 (unpaired t-test with Welch’s correction); mitochondrial tubularization rates are 47% for R265 and 22% for CBS1930, n=3, P<0.0001, Fisher’s exact test). Using these strains, we were able to accurately follow the kinetics of mitochondrial tubularization in individual yeast cells (Fig. 2a and Supplementary Movie 1). On encounter of the macrophage environment, yeast cells from the outbreak strain AIg54 rapidly adapted a tubular mitochondrial morphology, whereas the non-outbreak strain AIg56 was much slower to adapt and far fewer yeast cells exhibited tubular mitochondria (Fig. 2b). The same difference in adaptation was shown using an independent approach (MitoTracker CMXRos)14,25 to stain mitochondria in the AIg54 and AIg56 strains, as well as a second pair of outbreak (CDCF2932) and non-outbreak (CBS8684) strains (Fig. 2c and Supplementary Fig. 2e), confirming that tubularization was not a result of the genetic manipulation. Therefore, mitochondrial tubularization in outbreak strains is initiated rapidly after encounter of the intracellular environment.

Figure 2. Tubularization is initiated rapidly in the intracellular niche.

Figure 2

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(a,b) The outbreak strain AIg54 (C. gattii R265 background) and the non-outbreak strain AIg56 (C. gattii CBS1930 background) were both engineered to express HEM15-GFP to visualize mitochondria. (a) Mitochondrial tubularization within the outbreak strain AIg54 was observed by confocal live-cell imaging. Images were generated by projecting 73 z-planes in a single plane with each z-plane given an individual colour. The globular morphology therefore gives a multi-colour unsaturated object due to the combination of many different colours and intensities over the z-planes, while tubular mitochondria in either the x- or y-plane give a more uniform, saturated colour. Scale bar, 1 μm. (b) Time-lapse analysis of AIg54 (n=288) and AIg56 (n=171) revealed fast initiation of tubularization in the outbreak strain AIg54 but a delayed and much lower tubularization response in the non-outbreak strain. Note that for both strains, absolute tubularization levels appear lower when scored by live imaging in this way than when fixed and stained with MitoTracker (Supplementary Fig. 2e), which probably reflects the higher sensitivity of the latter approach. (c) These results were corroborated by mitochondrial staining with MitoTracker CMXRos of the outbreak strain CDCF2932 and non-outbreak strain CBS8684 in a macrophage infection time-course experiment. Data are presented as mean average with s.e.m. Pooled categorical data (tubular versus non-tubular mitochondria) from at least three independent experiments observing between 814 and 4,114 yeasts (Supplementary Table 3) were analysed by Fisher’s exact test (**P<0.001 and ***P<0.0001). Outbreak strains are indicated by red-coloured symbols, non-outbreak strains by black-coloured symbols.

Tubularization has previously been reported to be a protective mechanism from autophagic degradation27 and thus we investigated the possibility that tubular mitochondria offer protection from host autophagy. However, immunolabelling of the autophagy marker LC3 in C. gattii-infected macrophages revealed low numbers of LC3-positive phagosomes, averaging 2.3% (0.07–12.3%), suggesting no obvious role for autophagy in cryptococcal mitochondrial tubularization.

Tubular yeasts are resistant and non-proliferative

Mitochondrial tubularization has been implicated in increasing the life span and fitness of cells from the fungal species Podospora anserina and Saccharomyces cerevisiae28, and enhancing cell viability in numerous mammalian cell types27,29. To determine any relationship between mitochondrial tubularization in C. gattii and intracellular fungal cell fate, we tracked individual cryptococci with GFP-tagged mitochondria within phagocytes using time-lapse microscopy. In the outbreak strain, AIg54, cells that adopted a tubular mitochondrial morphology, were killed significantly less often (Fisher’s exact test, P<0.0001; 288 cells, n=4) (Table 3). However, intracellular AIg54 yeast with tubular mitochondria proliferated significantly more slowly than those not exhibiting tubular mitochondria (Fisher’s exact test, P=0.0006; 288 cells, n=4) (Table 3). Such intracellular yeast, with tubular mitochondria and low proliferation rates, were significantly more abundant in the outbreak strain AIg54 than in the non-outbreak strain AIg56 (Fisher’s exact test, P<0.0001; 178 cells, n=4) (Table 3).

Table 3. Intracellular yeast fate analysis identifies yeast with tubular mitochondria as resistant and non-proliferative cells.

  Mitochondrial morphology
 Fisher’s exact test
  Tubular
 Non-tubular
  
  Count % Count %  
AIg54
 Total 69 24.0 219 76.0  
 Killed 0 0 49 22.4 P<0.0001
 Proliferating 1 1.4 35 16.0 P=0.0006
 Quiescent 68 98.6 134 61.2 P<0.0001
           
AIg56
 Total 17 9.9 154 90.1  
 Killed 0 0 2 1.3 P=1.0
 Proliferating 10 58.8 80 51.9 P=0.62
 Quiescent 7 41.2 74 48.1 P=0.62
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The fate of individual intracellular yeasts and their respective mitochondrial phenotype was scored from time-lapse images over 12 h (730 min). Fewer intracellular yeast were killed when tubular mitochondrial morphology has developed (Fisher’s exact test, P<0.0001). Intracellular yeast proliferation was more often observed in yeasts from the outbreak strain AIg54 not presenting with tubular mitochondria (Fisher’s exact test, P=0.0006). Intracellular AIg54 cells with tubular mitochondrial morphology were more often quiescent than intracellular AIg56 cells with tubular mitochondria (Fisher’s exact test, P<0.0001). Data were obtained from the outbreak strain AIg54 and non-outbreak strain AIg56 with HEM15-GFP-tagged mitochondria in four independent experimental repeats examining 288 and 173 yeasts, respectively, and data analysed using Fisher’s exact test.

This observation represented a paradox: the overall number of intracellular yeast is higher at peak time post infection in the outbreak strains compared with that in the non-outbreak strains, yet outbreak strains have a higher proportion of tubular, non-proliferative cells within the population. We hypothesized that the difference may lie in the fecundity of the other (non-tubular) cryptococci within the outbreak population. Indeed, further analysis of budding behaviour of intracellular cryptococci showed that replicative non-outbreak cells typically divide only once (Fisher’s exact test, P<0.0001; n=7), whereas replicative outbreak cells (which do not adopt a tubular mitochondrial morphology) more commonly divide two or more times over the course of our time-lapse recording (Fisher’s exact test, P=0.0195 and P=0.0131, respectively; n=7) (Fig. 3a). Thus, within macrophages, the rapidly proliferating outbreak population of cryptococci actually represents a ‘division of labour’ between a proportion of quiescent yeasts, which are essentially resistant to killing by the host cell, and a small minority of ‘vulnerable’ but rapidly budding yeast (Fig. 3b)30,31,32.

Figure 3. Yeast with tubular mitochondria are resistant and non-proliferative.

Figure 3

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(a) AIg54 and AIg56 were analysed for intracellular yeast fecundity. Intracellular AIg56 cells undergo a single division more often than intracellular AIg54 cells (Fisher’s exact test, P<0.0001, n=7), whereas intracellular AIg54 cells undergo two or more divisions more frequently (Fisher’s exact test, P=0.020 and P=0.013, n=7, respectively). Data were obtained from the outbreak strain AIg54 and non-outbreak strain AIg56 with HEM15-GFP-tagged mitochondria in seven independent experimental repeats examining a total of 686 and 413 yeasts, respectively, and pooled data analysed using Fisher’s exact test. Data are presented as mean average with s.e.m. (b) A model describing the ‘division of labour’, between a proportion of quiescent yeasts, which are essentially entirely resistant to killing by the host cell, and a small minority of ‘vulnerable’ but rapidly budding yeasts.

Co-infection increases non-outbreak strain proliferation

As quiescent C. gattii cells do not themselves proliferate within the host phagocyte, we wondered whether they may confer a fitness benefit to co-infecting proliferative cells that are otherwise vulnerable to host killing. To test this hypothesis, we conducted co-infections of non-outbreak strains with the GFP-labelled outbreak strain R265_GFP14. Between 8.2% and 21.9% of phagocytes engulfed yeast cells from both strains (Table 4). Remarkably, for three non-outbreak strains tested, co-infection dramatically increased their intracellular proliferation (Fig. 4 and Supplementary Fig. 3a), while retaining the proliferative ability of the R265_GFP14 strain (Supplementary Fig. 3b,c). Thus, the presence of an outbreak strain can rescue the ability of non-outbreak strains to proliferate intracellularly. C. gattii virulence therefore represents a rare example of social evolution in a eukaryotic microorganism, in which the costly behaviour of a quiescent subpopulation offers a fitness benefit to the whole community30 and is analogous to bacterial persistence phenotypes in the context of antibiotic resistance during infection with Staphylococcus aureus31 or Escherichia coli32.

Table 4. Outbreak and non-outbreak strains can co-infect macrophages.

a
Strains Total (%)
  Average s.e.m.
Percentage phagocytosis  
 R265_GFP14+CBS8684, n=4 36.4 1.4
 R265_GFP14+CBS7750, n=3 38.6 3.4
 R265_GFP14+CBS7229, n=4 35.9 3.4
 R265_GFP14+CBS1930, n=4 28.1 2.6
b
Strain R265_GFP14
 Non-outbreak strain
 Co-infected
  Average s.e.m. Average s.e.m. Average s.e.m.
Co-infection percentage phagocytosis (% of total above)
 CBS8684 92.2 2.0 14.2 1.3 8.2 0.5
 CBS7750 86.6 4.3 22.7 4.2 9.4 0.8
 CBS7229 74.9 2.5 46.0 1.7 21.9 3.0
 CBS1930 91.2 2.5 18.7 1.4 9.7 1.2
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Phagocytosis of outbreak strain R265_GFP14 and non-outbreak strains during co-infection was analysed and percentage phagocytosis of yeast cells after 2 h of co-infection by J774 macrophages are presented (n>3). The total uptake (a) and contribution of single and co-infection to total uptake (b) are shown. Data for assessment of phagocytosis were obtained from at least three independent experimental repeats.

Figure 4. Coinfection facilitates proliferation of non-outbreak strains.

Figure 4

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The fate of intracellular yeast from non-outbreak strains inside J774 macrophages when co-infected with the outbreak strain R265_GFP14 was observed. Co-infection of non-outbreak strains with R265_GFP14 increased IPRs of non-outbreak strains. Intracellular proliferation data were obtained from five individual experimental repeats, presented as mean averages with s.e.m. and analysed by Mann–Whitney U-test.

Oxidative stress initiates mitochondrial tubularization

Phagocytosed pathogens are exposed to a variety of host stresses on encountering of the intracellular niche (for example, oxidative, nitrosative and hypoxic stress). Analysis of survival and growth of four representative outbreak strains and four representative non-outbreak strains under a range of stress conditions in vitro did not reveal any significant correlation with virulence at 2 h (Supplementary Fig. 4) or 24 h (Supplementary Fig. 5) post exposure. We therefore tested whether any of these stresses act as the stimulus to induce mitochondrial tubularization and subpopulation differentiation in outbreak strains of C. gattii. As previously demonstrated, there was a strong correlation between increased tubular mitochondria and increased intracellular proliferation (Fig. 5a). We hence exposed outbreak strains to individual phagocyte stresses in vitro, quantified mitochondrial tubularization and then tested for any association with IPR within macrophages. There was no correlation between IPR and intracellular mitochondrial tubularization imposed by environmental stresses such as low pH, cell wall stress or DNA damage (Fig. 5f–j). Several conditions such as oxidative, nitrosative and hypoxic stress that mimic the environment of phagosomes/phagolysosomes induced the formation of tubular mitochondria (Fig. 5b–e,j). Strikingly, however, exposure to a sub-lethal concentration of H2O2 (0.7 mM), which mimics the oxidative stress conditions within an early phagosome33, induced a mitochondrial tubularization response indistinguishable from that which occurs within phagocytic cells (Fig. 5b,j). Thus, outbreak strains of C. gattii probably respond to host ROS to induce mitochondrial tubularization.

Figure 5. Oxidative stress initiates mitochondrial tubularization.

Figure 5

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(a–j) Yeasts from four outbreak and four non-outbreak strains, presenting with differing abilities to proliferate intracellularly, were assessed for mitochondrial tubularization on exposure to several stresses (linear regression). Treatment with 0.7 mM H2O2 (b) was the strongest initiator for tubularization. Data were obtained for eight C. gattii strains from at least nine individual experiments determining IPR and at least three individual experiments examining mitochondrial morphology in 502 to 4,859 yeasts (Supplementary Table 4). Statistical significance of correlations was assessed using Pearson correlation (a–i), whereas categorical data (tubular versus non-tubular mitochondria) between outbreak and non-outbreak strains from a set of four strains per group and three independent experiments observing between 3,402 and 23,881 yeasts (Supplementary Table 5) were analysed by Fisher’s exact test or χ2-test (j).

The yeast p38 mitogen-activated protein kinase Hog1 is important for fungal pathogen responses to oxidative and osmotic stress within the phagosome34. As the regulation of Hog1 activation is dependent on the cryptococcal species35, we reasoned that Hog1 activation might vary between clinical and environmental C. gattii isolates. Therefore, Hog1 activation in response to oxidative and osmotic stress was determined for two outbreak and two non-outbreak isolates. However, the dynamics of Hog1 activation in C. gattii were similar to those previously published for C. neoformans, with no observable differences detected between outbreak and non-outbreak isolates (Supplementary Fig. 6). Therefore, differences in activated Hog1 levels are not responsible for the observed increase in C. gattii mitochondrial tubularization.

Reducing host ROS decreases outbreak strain proliferation

Given the probable role of ROS in inducing mitochondrial tubularization, we hypothesized that reducing host ROS production may cause outbreak strains to be unable to respond appropriately to the intracellular niche. By using a low dose (0.5 mM) of the NADPH oxidase inhibitor apocynin, we were able to significantly reduce ROS production by macrophages without affecting phagocyte survival (Mann–Whitney U-test, P=0.006 and P=0.862, respectively; n=4) (Fig. 6a,b). Under these conditions, both mitochondrial tubularization and intracellular proliferation were significantly reduced in outbreak strains, but remained unaltered in non-outbreak strains (Fig. 6c,d and Supplementary Fig. 7a–c). To understand how apocynin was modulating the behaviour of C. gattii outbreak strains during macrophage infection, we followed individual intracellular fungal cell fates with time-lapse microscopy, as described above, in the presence and absence of apocynin. This demonstrated that the number of proliferating cells dropped by 20.4% in the outbreak strain AIg54 (Fisher’s exact test, P=0.041, n=3) but was not significantly changed in the non-outbreak strain AIg56 (increase of 7.5%, fisher’s exact test, P=0.570, n=3). There was a corresponding increase in quiescent cells (Fisher’s exact test, P=0.030, n=3) but no change in the proportion of the population that was killed (Fisher’s exact test, P=0.517, n=3), suggesting that the reduction in the size of the tubular subpopulation reduces the ‘division of labour’ in outbreak strains and limits the ability of the population as a whole to proliferate intracellularly. Interestingly, this effect was not seen in co-cultures grown in vitro in the presence of 0.7 mM H202 (Supplementary Fig. 7d,e), suggesting that ROS-induced mitochondrial tubularization induces a pathogen response that protects cryptococci from their macrophage host rather than directly conferring resistance to oxidative damage.

Figure 6. Reducing host ROS decreases proliferation of outbreak strains.

Figure 6

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(a,b) Treatment with 0.5 mM of the NADPH oxidase inhibitor Apocynin reduced the amount of ROS-positive J774 macrophages after 18 h (P=0.0006). (a) ROS production by macrophages was measured by flow cytometry after cell staining with 2′,7′-dichlorodihydrofluorescein diacetate. (b) Macrophage survival was not affected by the inhibitor. Data were collected from four independent experiments, presented as mean averages with s.e.m. and data analysed with Mann–Whitney U-test. (c,d) Inhibition of ROS reduced the proportion of intracellular yeasts presenting with tubular mitochondria in outbreak strains and significantly reduced the ability of the outbreak strain to proliferate intracellularly. Data were obtained for eight C. gattii strains (four outbreak and four non-outbreak) from nine individual experiments determining IPR, presented as mean averages with s.e.m. and analysed by Mann–Whitney U-test. For assessment of mitochondrial morphology, three individual experiments examining mitochondrial morphology in 914 to 2,209 yeasts (Supplementary Table 6) were analysed and these categorical data assessed by Fisher’s exact test.

Discussion

We here present findings that describe how a fungal outbreak lineage of C. gattii uses host antimicrobial mechanisms, that is, the generation of ROS, as a signal to induce an intracellular survival and proliferation programme within macrophages. This programme induces a proportion of the fungal cell population to adopt a quiescent state that is characterized by tubular mitochondria and resists killing in the intracellular niche, while the remaining population is vulnerable to killing, but proliferates more rapidly, leading to an overall population expansion that overwhelms the host.

Mitochondria are involved in a wide range of processes encompassing cellular stability, energy production, stress resistance and regulation of life span, and hence are key in determining the fitness of microorganisms. In fact, mitochondria have been associated with virulence in several pathogens. Olson and Stenlid36 described the control of virulence by the mitochondrial genome in the fungal plant pathogen Heterobasidion annosum. In addition, mutants with dysfunctional mitochondria in the human fungal pathogens Candida glabrata (which also proliferates intracellularly in macrophages), C. albicans, C. neoformans and Aspergillus fumigatus all show attenuated virulence in mouse model systems of disease37,38,39,40,41,42. However, to date, the direct molecular mechanisms regulating mitochondrial involvement in virulence are not understood.

Several studies have shown the importance of numerous mitochondrial functions in conferring virulence by activating genes involved in metabolic pathways37,43, mitochondrial respiration44 and survival response to oxidative stress40,41,45,46. This is suggestive of a global stress response to the harsh environment within the host, and hence it is likely to be that mitochondrial tubularization might be a marker of global stress responses rather than the protective mechanism itself. In support of this, we have recently shown that transfer of a mitochondrial ‘outbreak’ genotype is necessary, but not sufficient, to confer outbreak virulence phenotypes between lineages26, indicative of the complex, multigenic nature of the outbreak phenotype.

In summary, here we introduce a new model for virulence in outbreak strains of C. gattii, driven by a division of labour between an intracellular yeast subpopulation that adapts a quiescent and resistant tubular mitochondrial phenotype and a susceptible, but highly proliferative, non-tubular mitochondrial yeast subpopulation. The phenomenon of persister cells has been described for bacterial pathogens to explain latent bacterial infections and antibacterial resistance47. In addition, very recent data have shown that bistable expression of virulence genes in Salmonella typhimurium creates phenotypically heterogeneous virulent and avirulent subpopulations48. There is an ongoing debate about latency and recurrence in cryptococcosis49, and in this context a quiescent subpopulation might argue for cryptococcal latency and the risk of developing antifungal resistance50. In addition, the ability of outbreak strains to facilitate the proliferation of non-outbreak strains within phagocytes poses important questions regarding the impact of C. gattii infections on altering susceptibility to other bacterial, viral or fungal pathogens.

Methods

Cryptococcus strains, yeast and cell line culture

Cryptococcus strains (Table 1) were cultured in liquid culture containing 1% peptone, 1% yeast extract and 2% D-(+)-glucose (YPD) at 25 °C rotating at 20 r.p.m. 24 h before use in experiments51.

The semi-adherent macrophage-like cell line J774 (European Cell Culture Collection) was used for macrophage experiments52. The cells were used between passage 5 and 15 after thawing and cultured in low glucose DMEM medium (Sigma) supplemented with 10% heat-inactivated fetal bovine serum (FBS), 2 mM glutamine, 100 μg ml−1 streptomycin and 100 units ml−1 penicillin (culture media) at 37 °C and 5% CO2 (refs 8, 14, 51, 53, 54). Human primary peripheral blood monocytes were obtained from independent healthy volunteers. Consent was obtained from all subjects under ethical approval granted by the University of Birmingham Research Ethics Committee. Mononuclear cells were isolated over a Ficoll-Plaque PLUS (GE Healthcare) gradient. Blood samples were diluted twofold with PBS (pH 7.2) and 30 ml was centrifuged over a 20-ml Ficoll-Paque PLUS cushion at 400g for 30 min without braking. The mononuclear layer was collected and washed with PBS to remove platelets. Monocytes were isolated by adherence to plastic at a concentration of 4–6 × 106 cells per ml in RPMI 1640 media supplemented with 2% heat-inactivated FBS, 2 mM glutamine, 100 μg ml−1 streptomycin, 100 units ml−1 penicillin at 37 °C and 5% CO2 for 1 h. Non-adherent lymphocytes were removed with warm PBS and adherent cells differentiated into macrophages in RPMI 1640 supplemented with 10% heat-inactivated FBS, 2 mM glutamine, 100 μg ml−1 streptomycin, 100 units ml−1 penicillin (culture media) containing 100 units ml−1 granulocyte macrophage colony-stimulating factor. After incubation overnight, the cells were washed with warm PBS and detached with ice-cold PBS on ice for 30 min. The macrophages were collected, resuspended and plated into 96-, 48- or 24-well plates at a concentration of 105, 5 × 105, or 106 cells per well, respectively, in RPMI 1640 culture media containing 100 units ml−1 granulocyte macrophage colony-stimulating factor, and macrophages were further matured for 6 days52.

Macrophage infection assay

Cryptococcus strains were cultured in liquid YPD media for 24 h at 25 °C rotating at 20 r.p.m. One millilitre of J774 cells (105 cells per ml) in culture media was plated into each well of a 24-well tissue-culture-treated plate 24 h before infection and kept at 37 °C and 5% CO2 humidified atmosphere. One hour before infection, J774 cells and human primary macrophages were switched to DMEM or RPMI 1640, respectively, containing 2 mM glutamine, 100 μg ml−1 streptomycin and 100 units ml−1 penicillin (assay media), and activated with 150 ng ml−1 phorbol 12-myristate 13-acetate. At the same time, Cryptococcus cells from 24-h-old liquid cultures were washed three times with PBS, counted in a haemocytometer and 106 yeast cells per 100 μl were opsonized with the monoclonal antibody 18B7 to cryptococcal capsule (0.99 μg ml−1, a kind gift from Arturo Casadevall). After pre-incubation, the opsonized yeast cells were directly added to J774 cells or human primary macrophages in fresh assay medium at a ratio of ten yeast cells per macrophage and phagocytosis was allowed to proceed for 2 h at 37 °C and 5% CO2 humidified atmosphere. Non-internalized yeast cells were removed by extensive washes with pre-warmed PBS and effectiveness of washing was checked by microscopy53,54. Infected macrophages were further cultivated at 37 °C in a 5% CO2 humidified atmosphere in fresh assay medium until needed8,14,25,51,53.

Determination of IPR

For time point T=0, 1 ml of DMEM was removed and 200 μl of sterile distilled H2O was added into wells to lyse macrophage cells immediately after 2 h infection. After 30 min, the released intracellular yeast were collected. Another 200 μl distilled H2O was added to each well to collect the remaining yeast cells. Intracellular yeast were counted using a haemocytometer. For the subsequent time points (T=18 h, T=24 h and T=48 h), intracellular cryptococcal cells were collected and independently counted with a haemocytometer. For each strain tested, the time course was repeated at least three independent times, using different batches of macrophages. The IPR value was calculated by dividing the maximum intracellular yeast number by the initial intracellular yeast number at T=0.

For co-infection studies, the fluorescently labelled R265 strain R265_GFP14 (ref. 51) was used to distinguish between low and high proliferating strains. Yeast cells (106 ml−1) at a ratio of 1:1 were opsonized with 18B7 for infection of J774 cells and human primary macrophages. For in vitro co-incubation, 105 yeast per ml in single or co-cultures with R265_GFP14 at a ratio of 1:1 were incubated in DMEM assay media at 37 °C in a 5% CO2 humidified atmosphere for 24 h. Yeast cell numbers were counted on a Nikon Eclipse Ti using a haemocytometer under fluorescence and bright field.

We confirmed that Trypan Blue stains 100% of the cryptococcal cells in a heat-killed culture, but only ~5% of cells from a standard overnight culture. Compared with a conventional colony counting method, this method was shown to be more sensitive in detecting the clustered yeast population or yeast cells undergoing budding8,14,25,51,53.

Mitochondrial staining

C. gattii cells were grown overnight at 37 °C in DMEM untreated or under a stress condition (0.7 mM H2O2, 5 mM NaNO2, 0.1 mM CoCl2, 3% O2, 0.005% SDS, 0.05 mM NaCl, 0.03 J cm−2 ultraviolet light, pH 5.7) in a 5% CO2 incubator without shaking for 24 h, or isolated from macrophages 24 h after infection. After ultraviolet treatment, yeasts were recovered for 30 min at 37 °C. Growth in YPD media at 25 °C rotating at 20 r.p.m., in YPD media at 37 °C not rotating and assay medium at 37 °C not rotating were also included as controls. For time-course experiments, cells were recovered from macrophages and stained after 0, 2, 6, 12, 18 and 24 h. The cells were harvested, washed with PBS twice and re-suspended in PBS containing the Mito-Tracker Red CMXRos (Invitrogen) at a final concentration of 20 nM. Cells were incubated for 15 min at 37 °C. After staining, cells were washed in triplicate and re-suspended in PBS. For each condition, more than 100 yeast cells per replicate for each of the strains tested were chosen randomly and analysed. For quantifying different mitochondrial morphologies, images were collected using a Zeiss Axiovert 135 TV microscope with a × 100 oil immersion Plan-Neofluar objective. Both fluorescence images and phase-contrast images were collected. Images were captured with identical settings on a QIcam Fast 1394 camera using the QCapture Pro51 version 5.1.1 software. All images were processed identically in ImageJ, and mitochondrial morphologies were analysed and counted blind14,25.

Stress treatments

To test C. gattii strains for their susceptibility towards a number of stress conditions, several conditions were created to mimic different degrees of hypoxia (0, 0.025, 0.05, 0.075, 0.1, 0.15, 0.3 and 0.6 mM CoCl2 and 3% O2), oxidative (0, 0.088, 0.175, 0.35, 0.7, 2.1, 4.2 and 9.3 mM H2O2), nitrosative (0, 0.25, 0.5, 2.5, 5, 10, 15 and 20 mM NaNO2), cell membrane (0, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25 and 0.5% SDS), osmotic (0.0001, 0.001, 0.01, 0.025, 0.05, 0.1 and 0.3 mM NaCl), radiation (ultraviolet 254 nm; 0, 0.005, 0.01, 0.02, 0.03, 0.04, 0.06, 0.08 and 0.1 J cm−2) and pH (3.6, 4.4, 4.55, 4.56, 4.74, 5.17, 5.28, 5.58, 5.7, 6.5 and 7.5) stress. Cryptococcus cells from 24-h-old YPD liquid cultures were washed three times with PBS, counted in a haemocytometer and adjusted to 105 cells per ml in assay media. One millilitre of the yeast suspension was added into each well of a 48-well plate and the stress factor was transferred accordingly. The yeasts were then incubated at 37 °C and 5% CO2. To assess the influence of the stresses on cryptococcal survival, serial dilutions were plated after 0 and 24 h, and colony-forming units counted. For ultraviolet treatments, yeasts were recovered for 30 min at 37 °C before plating. Colony-forming units relative to time point 0 and relative to an untreated control were calculated to enable comparison between several Cryptococcus strains with different growth rates50.

ROS staining

J774 macrophages, previously prepared according to the infection protocol and treated with 0.5 mM of the ROS inhibitor Apocynin (Sigma) where applicable, were detached and separated by Accutase (PAA) treatment. The cells were incubated with the undiluted proteolytic and collagenolytic enzyme mix for 15 min at 37 °C and then gently dissociated by pipetting to ensure a single cell suspension; cell separation was checked by microscopy. Harvested cells were washed in warm PBS and stained with 2′,7′-dichlorodihydrofluorescein diacetate (Invitrogen) at a concentration of 5 μM in PBS for 37 °C for 45 min. After labelling, macrophages were analysed by flow cytometry (FACSCaliber and CellQuestPro software, BD Biosciences). For analysis, the macrophage population was gated by forward and side scatter, and the percentage of macrophages generating a ROS response measured by negatively gating for dye fluorescence against a population of unlabelled macrophages.

Live imaging of cryptococcal mitochondria

Time-lapse images for fungal fate analysis were captured on a TE2000 (Nikon) with Digital Sight DS-Qi1MC camera (Nikon), × 60 objective (DIC PLAN APO), using NIS elements AR software (Nikon). Transmitted light images were captured every 2 min and fluorescence images were captured every 10 min for 12 h. Two hundred and eighty-eight and 177 cells for AIg54 and AIg56, respectively, were analysed over four separate experiments. Time-lapse images for fungal fate analysis in the presence of apocynin were captured on a Ti (Nikon) with Neo (Andor), × 60 objective (DIC PLAN APO), using NIS elements AR software (Nikon). Transmitted light images were captured every 2 min and fluorescence images were captured every 10 min for 12 h. After completing the infection protocol, macrophages were treated with either 0.5 mM apocynin or 0.5% dimethyl sulphoxide (control). For strain AIg54 191 control and 129 apocynin-treated macrophages, and for strain AIg56 164 control and 148 apocynin-treated macrophages were analysed over three separate experiments. Three-dimensional imaging of mitochondrial tubularization was acquired with Nikon A1R confocal microscope (Nikon) in resonant scanning mode and with a piezo stage (MadCity Labs) for fast z-sectioning. C. gattii AIg54 was imaged in PBS containing 0.7 mM H2O2 to induce tubularization. Seventy-four z-sections were captured every 60 s for 40 min.

Agrobacterium-mediated transformation

Strains CBS1930 and R265 were cultured overnight in YPD liquid medium. An Agrobacterium tumefaciens strain that carries a plasmid with the HEM15 gene from C. neoformans strain JEC21 fused at its carboxy terminus to GFP was cultured overnight in Luria–Bertani medium supplemented with kanamycin55. The fusion protein is under the regulation of a constitutive histone H3 promoter. HEM15 encodes ferrochelatase, a mitochondrially localized protein that catalyses the final step in the biosynthesis of haem. Each culture was diluted to an optical density of 0.5 at 600 nm. Cultures were mixed, plated onto induction medium agar56 and co-cultured for 2 days at room temperature. The cells were then transferred from induction medium to YPD agar containing nourseothicin (100 μg ml−1), to select for integration of the T-DNA into the C. gattii genome, and cefotaxime (100 μg ml−1), to select against the Agrobacterium cells. Transformed cells were streaked to isolate single colonies and their fluorescence tested using a Nikon Eclipse 90i fluorescence microscope.

Immunofluorescence of autophagy marker LC3

J774 macrophage-like cells were seeded onto 13 mm glass coverslips at a density of 1 × 105 cells. Macrophages were then incubated at 37 °C and 5% CO2 24 h before infection. C. gattii strains (CDCF2932, ENV152, CBS8684, CBS7750, CBS1930, CBS7229, CDCR271 and R265) were cultured and J774 cells infected as previously described for the macrophage infection assay. After 2 h of co-incubation, extracellular yeast were removed by extensive PBS washes and, if appropriate, cells were further incubated in assay media at 37 °C and 5% CO2. Cells were fixed with 4% PFA for 10 min at either 2 h (T=0) or 20 h (T=18) after infection. Coverslips were washed with PBS before treatment with 50 mM NH4Cl for 10 min and cells were permeabilized in 0.1% Triton X-100 for 4 min. Coverslips were blocked with 5% goat serum and 1% BSA in PBS for 1 h and incubated with 0.25 μg ml−1 rabbit polyclonal anti-LC3A/B antibody (Cell Signaling) for 30 min, followed by 20 min incubation with 3 μg ml−1 goat anti-Rabbit IgG-TRITC (Sigma). Coverslips were then mounted in Mowiol (Calbiochem) with p-phenylenediamine antifade agent. Images were captured using a Nikon eclipse Ti-inverted epifluorescence microscope and NIS elements AR 3.2 software (Nikon) with a × 60 objective (Plan Apo VC 1.4 NA DIC N2) and camera (Qimaging QICAM-B Mono). Images were analysed using ImageJ software (National Institutes of Health).

Hog1 regulation in C. gattii

C. gattii was grown at 25 °C in YPD media for 24 h. Cells were diluted 1:100 in fresh media and grown to exponential phase at 25 °C. Cultures were diluted 1:1 with YPD, YPD supplemented with 2 M NaCl (final concentration 1 M) or YPD supplemented with 2 mM hydrogen peroxide (final concentration 1 mM) and incubated for an additional 30 min. Cells were harvested by centrifugation and immediately flash-frozen in liquid nitrogen. Pellets were washed in protein extraction buffer (50 mM HEPES pH 7.5, 150 mM NaCl, 5 mM EDTA, 1% NP40) supplemented with Roche complete proteinase cocktail. Samples were lysed by vortexing with glass beads (20 × 30 s). Lysates were cleared by centrifugation (13,000 r.p.m., 1 min) and protein concentration estimated by Bradford assay with a BSA standard curve. Proteins (15 μg) were separated by SDS–PAGE on 15% SDS gels. Proteins were transferred onto polyvinylidene difluoride membranes at 30 V for 2 h and the membrane blocked with 5% BSA in PBS-T for 1 h. Hog1 phosphorylation was detected with a 1:2,000 dilution of phospho-P38 (Thr180/Tyr182) rabbit monoclonal antibody (Cell Signaling) in PBS-T with 5% BSA. Membranes were incubated overnight at 4 °C. For detection, an anti-rabbit IgG-HRP-conjugated antibody was used at a 1:2,000 dilution in PBS-T, 5% BSA for 1 h at room temperature. To detect total Hog1 levels, membrane were stripped, blocked in 10% milk in PBS-T and re-probed with the Sc-9079 Hog1 antibody (Santa Cruz) in a 1:2,000 dilution in 5% milk in PBS-T for 2 h at room temperature. For detection, an anti-rabbit IgG-HRP-conjugated antibody was used in a 1:2,000 dilution in PBS-T for 1 h at room temperature. Membranes were washed in PBS-T and signals detected using an enhanced chemiluminescence western blotting kit as per the manufacturer’s instructions35.

Statistical analysis

Data were analysed using SPSS version 17 and GraphPad Prism 6. Continuous data sets were tested for normal distribution using the Shapiro–Wilks test and for homogeneity of variance using the Levene Statistics, and if data sets fit the requirements, subjected to parametric analysis by t-test or analysis of variance with post-hoc Tukey test. If data sets were not normally distributed or failed to show homogeneity of variance, the non-parametric Mann-Whitney U-test or Kruskal–Wallis test was applied to test for statistically significant differences. Categorical data was pooled and analysed by Fisher’s exact test for low number of data points and χ2-test for larger data sets. P-values <0.05 after adjusting for multiplicity were considered statistically significant. Experiments were performed at least three times. Exact details on experimental repeats and number of yeast scored can be found in Supplementary Tables 2–6. Data were not excluded from analysis unless obvious operator error occurred (for example, failure to stain and contamination). Scoring experiments were performed in a blind manner. For in vitro studies and infection studies, fungal strains were randomly distributed in different culture well plate positions.

Author contributions

K.V., S.A.J. and R.C.M. conceived and designed the study. K.V., S.A.J., L.M.S. and R.A.H. performed experiments and data analysis. A.I. generated mitochondrial tagged mutants. K.V., S.A.J., L.M.S., R.A.H., A.I. and R.C.M. wrote and commented on the manuscript.

Additional information

How to cite this article: Voelz, K. et al. ‘Division of labour’ in response to host oxidative burst drives a fatal Cryptococcus gattii outbreak. Nat. Commun. 5:5194 doi: 10.1038/ncomms6194 (2014).

Supplementary Material

Supplementary Figures, Tables and References

Supplementary Figures 1-7, Supplementary Tables 1-6 and Supplementary References

ncomms6194-s1.pdf (2.6MB, pdf)
Supplementary Movie 1

Mitochondrial tubularisation of yeasts. This was observed by confocal live cell imaging in the outbreak strain AIg54. Images were generated by projecting 73 z-planes in a single plane with each z-plane given an individual colour. The globular morphology therefore gives a multi-colour unsaturated object due to the combination of many different colours and intensities over the z-planes, while tubular mitochondria in either the x- or y-plane give a more uniform, saturated colour. Scale bar 1 μm).

Download video file (388.4KB, mov)

Acknowledgments

We thank Arturo Casadevall for providing the 18B7 antibody and Ana Litvintseva for providing environmental C. neoformans strains. This work was financially supported by the US National Institutes of Health (AI094364), a Medical Research Council and Department for International Development Fellowship (J009156) and Krebs Institute Fellowship to S.A.J., a Lister Fellowship to R.C.M., the Medical Research Council (G0601171), the Wellcome Trust (WT088148MF), the European Research Council (project ‘MitoFun’) and the UK National Institute of Health Research Surgical Reconstruction and Microbiology Research Centre.

References

  1. Brown G. D., Denning D. W. & Levitz S. M. Tackling human fungal infections. Science 336, 647 (2012). [DOI] [PubMed] [Google Scholar]
  2. Fisher M. C. et al. Emerging fungal threats to animal, plant and ecosystem health. Nature 484, 186–194 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Park B. J. et al. Estimation of the current global burden of cryptococcal meningitis among persons living with HIV/AIDS. AIDS 23, 525–530 (2009). [DOI] [PubMed] [Google Scholar]
  4. Chen J. et al. Cryptococcus neoformans strains and infection in apparently immunocompetent patients, China. Emerg. Infect. Dis. 14, 755–762 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Lui G. et al. Cryptococcosis in apparently immunocompetent patients. QJM 99, 143–151 (2006). [DOI] [PubMed] [Google Scholar]
  6. Idnurm A. et al. Deciphering the model pathogenic fungus Cryptococcus neoformans. Nat. Rev. Microbiol. 3, 753–764 (2005). [DOI] [PubMed] [Google Scholar]
  7. Kronstad J. W. et al. Expanding fungal pathogenesis: Cryptococcus breaks out of the opportunistic box. Nat. Rev. Microbiol. 9, 193–203 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Byrnes E. J. 3rd et al. A diverse population of Cryptococcus gattii molecular type VGIII in southern Californian HIV/AIDS patients. PLoS Pathog. 7, e1002205 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Litvintseva A. P., Thakur R., Reller L. B. & Mitchell T. G. Prevalence of clinical isolates of Cryptococcus gattii serotype C among patients with AIDS in Sub-Saharan Africa. J. Infect. Dis. 192, 888–892 (2005). [DOI] [PubMed] [Google Scholar]
  10. Bartlett K. H., Kidd S. E. & Kronstad J. W. The Emergence of Cryptococcus gattii in British Columbia and the Pacific Northwest. Curr. Infect. Dis. Rep. 10, 58–65 (2008). [DOI] [PubMed] [Google Scholar]
  11. Kidd S. E. et al. Cryptococcus gattii dispersal mechanisms, British Columbia, Canada. Emerg. Infect. Dis. 13, 51–57 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Kidd S. E. et al. A rare genotype of Cryptococcus gattii caused the cryptococcosis outbreak on Vancouver Island (British Columbia, Canada). Proc. Natl Acad. Sci. USA 101, 17258–17263 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Byrnes E. J. & Heitman J. Cryptococcus gattii outbreak expands into the Northwestern United States with fatal consequences. F1000 Biol. Rep. 1, 62 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Byrnes E. J. 3rd et al. Emergence and pathogenicity of highly virulent Cryptococcus gattii genotypes in the northwest United States. PLoS Pathog. 6, e1000850 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Byrnes E. J. 3rd et al. First reported case of Cryptococcus gattii in the Southeastern USA: implications for travel-associated acquisition of an emerging pathogen. PLoS ONE 4, e5851 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Datta K. et al. Spread of Cryptococcus gattii into Pacific Northwest region of the United States. Emerg. Infect. Dis. 15, 1185–1191 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Byrnes E. J. 3rd, Bartlett K. H., Perfect J. R. & Heitman J. Cryptococcus gattii: an emerging fungal pathogen infecting humans and animals. Microbes Infect. 13, 895–907 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Galanis E., Macdougall L., Kidd S. & Morshed M. Epidemiology of Cryptococcus gattii, British Columbia, Canada, 1999-2007. Emerg. Infect. Dis. 16, 251–257 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Patrick S. et al. Emergence of Cryptococcus gattii—Pacific Northwest, 2004-2010. Morb. Mortal. Wkly Rep. 59, 865–868 (2010). [PubMed] [Google Scholar]
  20. Marr K. A. Cryptococcus gattii as an important fungal pathogen of western North America. Expert. Rev. Anti Infect. Ther. 10, 637–643 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kidd S. E., Guo H., Bartlett K. H., Xu J. & Kronstad J. W. Comparative gene genealogies indicate that two clonal lineages of Cryptococcus gattii in British Columbia resemble strains from other geographical areas. Eukaryot. Cell 4, 1629–1638 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Byrnes E. J. 3rd et al. Molecular evidence that the range of the Vancouver Island outbreak of Cryptococcus gattii infection has expanded into the Pacific Northwest in the United States. J. Infect. Dis. 199, 1081–1086 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Fraser J. A. et al. Same-sex mating and the origin of the Vancouver Island Cryptococcus gattii outbreak. Nature 437, 1360–1364 (2005). [DOI] [PubMed] [Google Scholar]
  24. Hagen F. et al. Ancient dispersal of the human fungal pathogen Cryptococcus gattii from the Amazon rainforest. PLoS ONE 8, e71148 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Ma H. et al. The fatal fungal outbreak on Vancouver Island is characterized by enhanced intracellular parasitism driven by mitochondrial regulation. Proc. Natl Acad. Sci. USA 106, 12980–12985 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Voelz K. et al. Transmission of hypervirulence traits via sexual reproduction within and between lineages of the human fungal pathogen Cryptococcus gattii. PLoS Genet. 9, e1003771 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Gomes L. C., Di Benedetto G. & Scorrano L. During autophagy mitochondria elongate, are spared from degradation and sustain cell viability. Nat. Cell Biol. 13, 589–598 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Scheckhuber C. Q. et al. Reducing mitochondrial fission results in increased life span and fitness of two fungal ageing models. Nat. Cell Biol. 9, 99–105 (2007). [DOI] [PubMed] [Google Scholar]
  29. Rambold A. S., Kostelecky B., Elia N. & Lippincott-Schwartz J. Tubular network formation protects mitochondria from autophagosomal degradation during nutrient starvation. Proc. Natl Acad. Sci. USA 108, 10190–10195 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. West S. A., Griffin A. S., Gardner A. & Diggle S. P. Social evolution theory for microorganisms. Nat. Rev. Microbiol. 4, 597–607 (2006). [DOI] [PubMed] [Google Scholar]
  31. Bigger J. W. Treatment pf staphylococcal infections with penecillin by intermittent sterilisation. Lancet 244, 497–500 (1944). [Google Scholar]
  32. Balaban N. Q., Merrin J., Chait R., Kowalik L. & Leibler S. Bacterial persistence as a phenotypic switch. Science 305, 1622–1625 (2004). [DOI] [PubMed] [Google Scholar]
  33. VanderVen B. C., Yates R. M. & Russell D. G. Intraphagosomal measurement of the magnitude and duration of the oxidative burst. Traffic 10, 372–378 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Alonso-Monge R. et al. Role of the mitogen-activated protein kinase Hog1p in morphogenesis and virulence of Candida albicans. J. Bacteriol. 181, 3058–3068 (1999). [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Bahn Y. S., Kojima K., Cox G. M. & Heitman J. Specialization of the HOG pathway and its impact on differentiation and virulence of Cryptococcus neoformans. Mol. Biol. Cell 16, 2285–2300 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Olson A. & Stenlid J. Plant pathogens. Mitochondrial control of fungal hybrid virulence. Nature 411, 438 (2001). [DOI] [PubMed] [Google Scholar]
  37. Barelle C. J. et al. Niche-specific regulation of central metabolic pathways in a fungal pathogen. Cell. Microbiol. 8, 961–971 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Becker J. M. et al. Pathway analysis of Candida albicans survival and virulence determinants in a murine infection model. Proc. Natl Acad. Sci. USA 107, 22044–22049 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Brun S. et al. Biological consequences of petite mutations in Candida glabrata. J. Antimicrob. Chemother. 56, 307–314 (2005). [DOI] [PubMed] [Google Scholar]
  40. Magnani T. et al. Silencing of mitochondrial alternative oxidase gene of Aspergillus fumigatus enhances reactive oxygen species production and killing of the fungus by macrophages. J. Bioenerg. Biomembr. 40, 631–636 (2008). [DOI] [PubMed] [Google Scholar]
  41. Narasipura S. D., Chaturvedi V. & Chaturvedi S. Characterization of Cryptococcus neoformans variety gattii SOD2 reveals distinct roles of the two superoxide dismutases in fungal biology and virulence. Mol. Microbiol. 55, 1782–1800 (2005). [DOI] [PubMed] [Google Scholar]
  42. Noble S. M., French S., Kohn L. A., Chen V. & Johnson A. D. Systematic screens of a Candida albicans homozygous deletion library decouple morphogenetic switching and pathogenicity. Nat. Genet. 42, 590–598 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Price M. S. et al. Cryptococcus neoformans requires a functional glycolytic pathway for disease but not persistence in the host. MBio 2, e00103–e00111 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Steen B. R. et al. Cryptococcus neoformans gene expression during experimental cryptococcal meningitis. Eukaryot. Cell 2, 1336–1349 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Bambach A. et al. Goa1p of Candida albicans localizes to the mitochondria during stress and is required for mitochondrial function and virulence. Eukaryot. Cell 8, 1706–1720 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Martins V. P. et al. Involvement of an alternative oxidase in oxidative stress and mycelium-to-yeast differentiation in Paracoccidioides brasiliensis. Eukaryot. Cell 10, 237–248 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Lewis K. Persister cells, dormancy and infectious disease. Nat. Rev. Microbiol. 5, 48–56 (2006). [DOI] [PubMed] [Google Scholar]
  48. Arnoldini M. et al. Bistable expression of virulence genes in salmonella leads to the formation of an antibiotic-tolerant subpopulation. PLoS Biol. 12, e1001928 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Lin X. & Heitman J. The biology of the Cryptococcus neoformans species complex. Annu. Rev. Microbiol. 60, 69–105 (2006). [DOI] [PubMed] [Google Scholar]
  50. Bicanic T., Harrison T., Niepieklo A., Dyakopu N. & Meintjes G. Symptomatic relapse of HIV-associated cryptococcal meningitis after initial fluconazole monotherapy: the role of fluconazole resistance and immune reconstitution. Clin. Infect. Dis. 43, 1069–1073 (2006). [DOI] [PubMed] [Google Scholar]
  51. Voelz K., Johnston S. A., Rutherford J. C. & May R. C. Automated analysis of cryptococcal macrophage parasitism using GFP-tagged cryptococci. PLoS ONE 5, e15968 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Ralph P., Prichard J. & Cohn M. Reticulum cell sarcoma: an effector cell in antibody-dependent cell-mediated immunity. J. Immunol. 114, 898–905 (1975). [PubMed] [Google Scholar]
  53. Voelz K., Lammas D. A. & May R. C. Cytokine signaling regulates the outcome of intracellular macrophage parasitism by Cryptococcus neoformans. Infect. Immun. 77, 3450–3457 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Ma H., Croudace J. E., Lammas D. A. & May R. C. Expulsion of live pathogenic yeast by macrophages. Curr. Biol. 16, 2156–2160 (2006). [DOI] [PubMed] [Google Scholar]
  55. Idnurm A. & Heitman J. Ferrochelatase is a conserved downstream target of the blue light-sensing White collar complex in fungi. Microbiology 156, 2393–2407 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Bundock P., den Dulk-Ras A., Beijersbergen A. & Hooykaas P. J. Trans-kingdom T-DNA transfer from Agrobacterium tumefaciens to Saccharomyces cerevisiae. EMBO J. 14, 3206–3214 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Ma H. Intracellular parasitism of macrophages by Cryptococcus. Doctor of Philosophy thesis, Univ. Birmingham http://www.biosciences-labs.bham.ac.uk/may/Publications_files/Hansong%20Ma's%20Thesis%20Final.pdf (2009).

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Supplementary Materials

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Supplementary Figures 1-7, Supplementary Tables 1-6 and Supplementary References

ncomms6194-s1.pdf (2.6MB, pdf)
Supplementary Movie 1

Mitochondrial tubularisation of yeasts. This was observed by confocal live cell imaging in the outbreak strain AIg54. Images were generated by projecting 73 z-planes in a single plane with each z-plane given an individual colour. The globular morphology therefore gives a multi-colour unsaturated object due to the combination of many different colours and intensities over the z-planes, while tubular mitochondria in either the x- or y-plane give a more uniform, saturated colour. Scale bar 1 μm).

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