Skip to main content
mBio logoLink to mBio
. 2026 Feb 20;17(3):e03885-25. doi: 10.1128/mbio.03885-25

“Should I stay or should I go”—a kinase delays escape of Candida glabrata from macrophages

Theresa Lange 1, Colin Clairet 2, Luisa Fischer 1, Raghav Vij 1, Johannes Sonnberger 1, Julia Mantke 1, Nadja Jablonowski 1, Eric Seemann 3, Britta Qualmann 3, Christophe d’Enfert 2, Lydia Kasper 1,4, Bernhard Hube 1,5,6,✉,#, Sascha Brunke 1,✉,#
Editor: Yong-Sun Bahn7
PMCID: PMC12977481  PMID: 41718479

ABSTRACT

Candida glabrata is an opportunistic fungal pathogen that causes both superficial and systemic infections in humans, accounting for 15%–25% of invasive candidiasis cases. Macrophages play a crucial role in antifungal immunity by internalizing C. glabrata; however, the fungus has evolved strategies to survive and even proliferate within phagosomes. It has been suggested that C. glabrata may utilize its life within macrophages to evade immune detection and disseminate throughout the body. We observed that, compared to fungi like C. albicans, C. glabrata only slowly escapes from macrophages, with host cells bursting after 2–3 days. This delay is fungal-driven rather than host-induced and is not solely due to replication in the yeast form per se. We identified protein kinases involved in exit timing, especially the Ksp1 kinase, the deletion of which accelerates macrophage cell lysis. Its loss increases mitophagy and the formation of petites, a respiration-deficient phenotype associated with resistance toward antifungals and, more importantly, to phagocytic killing. Moreover, deletion of KSP1 enhances resistance to multiple antifungals, suggesting that this kinase may be at the core of a broader cross-adaptive survival strategy by C. glabrata. Collectively, our findings indicate that C. glabrata may actively prolong its intramacrophagal phase, which could contribute to immune evasion, antifungal resistance, and potential recurrence of infection. Moreover, these results reinforce the notion of a critical role of petite formation in persistent and recurrent infections. They also show the need to adapt clinical diagnostics and therapy to detect and manage these respiration-deficient variants.

IMPORTANCE

Candida glabrata is a major cause of invasive candidiasis and is difficult to treat due to its intrinsic resistance to antifungal drugs and its ability to survive inside host immune cells. How this pathogen regulates its intracellular lifestyle and exit from macrophages remains poorly understood. We show that C. glabrata actively modulates its interaction with macrophages through the protein kinase Ksp1, which regulates mitochondrial dysfunction and the formation of respiration-deficient cells. These variants display enhanced resistance to two antifungal drugs and killing by phagocytes. Our findings suggest that prolonging the intramacrophage phase and generating stress-resistant variants are key components of C. glabrata’s survival strategy. Recognizing these processes has important implications for clinical diagnostics and the management of persistent and recurrent fungal infections.

KEYWORDS: host-pathogen interactions, antifungal resistance, petite, Candida glabrata, macrophages, trojan horse, intracellular fungi, immune evasion

INTRODUCTION

Several Candida species are opportunistic pathogens that can cause superficial and even severe systemic infections in humans, affecting more than 150 million people each year (1, 2). Although the majority of these cases can be attributed to Candida albicans, there has been a notable rise in the incidence of infections by non-albicans Candida species (3). Among these, C. glabrata is the most prevalent (4, 5), accounting for 15%–25% of all invasive candidiasis cases in the United States and Europe (3, 6). This is at least partially due to C. glabrata’s high intrinsic levels of resistance to frequently used antifungal drugs, such as azoles, and its ability to quickly gain additional resistance (7, 8). Moreover, the rising incidence of C. glabrata infections is also likely the consequence of increasing numbers of immunocompromised patients and a growing elderly population (9).

During infections, C. glabrata faces different types of immune cells, including phagocytes of the innate immune system, which play a pivotal role in the initial defense against Candida infections (10). Particularly, macrophages are important for the clearance of tissue-invading fungi and to orchestrate downstream antifungal immune responses (11). Macrophages can efficiently internalize C. glabrata cells; however, the fungus has evolved strategies to survive and even proliferate within the phagosome (5, 1215). In contrast to C. albicans, which forms filaments inside macrophages, induces pro-inflammatory responses, and escapes quickly (13, 1618), C. glabrata replicates solely in the yeast morphology and can survive inside the phagocytes for several days (15). Despite its significant intracellular proliferation, C. glabrata does not elicit an apoptotic or pyroptotic host cell death or even substantial host cell damage like C. albicans (15, 19). Furthermore, intracellular C. glabrata cells induce only very little pro-inflammatory cytokine secretion (15). However, C. glabrata does trigger a significant level of GM-CSF response by macrophages both in vitro and in vivo (15, 20). One function of GM-CSF is the recruitment of monocytes and the activation of macrophages (21). Therefore, it has been postulated that C. glabrata may induce this cytokine specifically to attract macrophages as suitable host cells for intracellular persistence (13, 22, 23). This idea is strengthened by recent publications that show that C. glabrata can survive and replicate within THP1-derived macrophages for up to 5 days (24) and within primary macrophages for at least 7 days (25). It is, therefore, conceivable that C. glabrata attracts macrophages for intracellular persistence in a “Trojan horse” strategy to evade the immune system (26).

Persistence of bacteria such as Mycobacterium tuberculosis is associated with drug tolerance and resistance (27), and a similar association has been shown for fungal persistence (24, 25). In fact, C. glabrata’s persistence in macrophages is known to increase the emergence of echinocandin-resistant colonies, which is specifically associated with its non-proliferative stage (24). A major trigger of this resistance appears to be macrophage-induced oxidative stress, as deletion of fungal ROS-detoxifying enzymes increases the emergence of echinocandin-resistant colonies (24). Moreover, persistence of C. glabrata in primary macrophages can induce a so-called petite phenotype, which is associated with mitochondrial dysfunction and confers cross-resistance against both phagocytic killing and antifungal drugs such as azoles or echinocandins (25, 28).

The precise processes leading to intracellular persistence are unclear. For example, it may be possible that the host forces C. glabrata into an intracellular persistence mode; alternatively, the process could be driven by the fungus itself. If C. glabrata actively hijacks phagocytes in vivo, however, it should be able to precisely regulate the timing of its escape from the macrophage. Such a strategy would allow C. glabrata cells to evade the host immunity for an extended period and enable fungal cells to reach distal body parts safely. Nevertheless, the intracellular environment of a macrophage is inherently hostile and generally lacking in nutrients; therefore, C. glabrata must eventually escape.

In this study, we focused on investigating the mechanism by which C. glabrata exits macrophages, with a particular emphasis on understanding the processes involved in the delayed escape of this yeast. We identified a fungal protein kinase that plays a key role in these processes. We suggest that this kinase, Ksp1, modulates the formation of petite cells by regulating mitochondrial autophagy. This, in turn, affects the intracellular fungal load and thus the escape rate, as demonstrated by our observation that a higher fungal load leads to an earlier lysis of macrophages.

RESULTS

Candida glabrata’s replication as yeast cells does not per se delay its exit from macrophages

To study the mechanism and dynamics of C. glabrata’s escape from macrophages, we established a long-term human monocyte-derived macrophage (hMDM) interaction model (Fig. 1A) based on a previously published persistence model (25). Briefly, for this model, hMDMs are infected with C. glabrata, and non-phagocytosed fungal cells are removed 3 h post-infection. The intracellular survival and subsequent escape process can be studied for up to 3 days by multiple read-outs, such as colony-forming unit (CFU) measurement, transcriptomic analyses, and damage assays.

Fig 1.

Comparison of C. glabrata and yeast-locked C. albicans mutant interactions with macrophages. Survival assays and micrographs demonstrate C. glabrata's slower intramacrophagal growth and slower escape. Fluorescence imaging shows internalized yeasts.

Interaction of C. glabrata wild type and C. albicans yeast-locked efg1ΔΔ/cph1ΔΔ mutant cells with macrophages. (A) C. glabrata escape model using monocyte-derived macrophages based on a previously published persistence model (25). (B) Intracellular survival of C. glabrata and the C. albicans yeast-locked mutant efg1ΔΔ/cph1ΔΔ in human monocyte-derived macrophages. Macrophages were lysed at the indicated time points, and intracellular yeast cells were plated. Each dot indicates one donor (n = 6–9 donors). Results were compared using a two-way ANOVA with Šídák’s multiple comparisons test (**, P < 0.01). (C) Representative micrograph of infected macrophages in the escape model after 1 day. Arrows indicate escaped yeast cells. (D) Extracellular CFUs of C. glabrata after infecting human monocyte-derived macrophages with different multiplicities of infection (MOIs). Each dot indicates one donor (n = 6 donors). Results were compared using a two-way ANOVA with Sídák’s multiple comparisons test (****, P < 0.0001). (E) Intracellular yeasts, i.e., the C. glabrata wild type and the yeast-locked C. albicans mutant efg1ΔΔ/cph1ΔΔ, were fixed 3 h after infecting human monocyte-derived macrophages (MOI 5). Fungal cells were stained with ConA-AlexaFluor647, and macrophage nuclei were labeled with DAPI. The brightness of the representative images was increased by 20%. Scale bar indicates 20 µm.

As C. albicans primarily relies on hypha formation to escape from macrophages (13) and escapes more rapidly than C. glabrata (15, 22), we hypothesized that the delayed exit of C. glabrata may simply be due to the lack of hypha formation. To investigate the role of morphology (i.e., the presence of filaments vs. the yeast form), we compared the dynamics of intracellular proliferation between the C. glabrata wild-type cells and cells of the yeast-locked C. albicans mutant, efg1ΔΔ/cph1ΔΔ (29) (Fig. 1B and C). Surprisingly, the yeast-locked C. albicans mutant proliferated significantly faster inside macrophages than C. glabrata (Fig. 1B and E) and, thus, escaped after a mere 24 h of infection (Fig. 1C; Fig. S1). In contrast, C. glabrata exited the phagocytes after 2–3 days, when macrophages containing high numbers of replicating C. glabrata cells burst (Fig. S1), as published previously (15). This demonstrates that fungal replication in the yeast form per se does not mediate the delayed exit by C. glabrata.

The higher intracellular fungal load observed for the yeast-locked C. albicans mutant indicates that the fungal burden itself might play a role in the timing of the macrophage rupture. To test this further, we infected hMDMs with C. glabrata at different multiplicities of infection and later quantified the escaped CFUs (Fig. 1D). A higher initial fungal load resulted in a significant increase in extracellular CFU numbers, indicating an earlier exit. This suggests rupture of the macrophages by the fungal burden itself as one mechanism by which C. glabrata, and potentially also the yeast-locked C. albicans mutant, can escape.

Species-independent transcriptional responses of macrophages to internalized yeast cells

As the fungal morphology does not seem to be the primary factor in delaying C. glabrata’s exit, we postulated that macrophages might respond differently to yeast-locked C. albicans mutant and C. glabrata wild-type yeast cells despite their comparable morphologies. To elucidate whether macrophages actively steer C. glabrata onto a delayed exit trajectory, we performed transcriptomic analyses on hMDMs following the phagocytosis of C. glabrata or C. albicans efg1ΔΔ/cph1ΔΔ cells. To this end, we adapted the established exit model and obtained host samples at eight distinct time points over the course of a 3-day infection.

A principal component analysis (PCA; Fig. 2A) showed that uninfected hMDMs have a comparable transcriptome across all three different blood donors throughout the entire infection period, setting a solid baseline for our comparisons. Upon infection, the macrophage transcriptome underwent a shift along the PC1 axis at 3 h for both fungal species, C. glabrata and the yeast-locked C. albicans mutant. This shift was even more pronounced at the 8 h time point. At both time points, however, the C. glabrata- and C. albicans-induced macrophage response was strikingly similar, with samples from both always clustering together in the PCA plot. This also applied to the 24 h and 32 h time points, where a shift along the PC2 axis is evident for both samples. This indicates that the early transcriptomic response of the macrophages is largely independent of the fungal species.

Fig 2.

PCA plot showing macrophage transcriptional responses to Candida glabrata and yeast-locked C. albicans mutant infection. Uninfected samples cluster separately. The early macrophage response (GO terms) is mostly independent of the yeast species.

Macrophage transcriptional response to C. glabrata wild type and the yeast-locked C. albicans mutant efg1ΔΔ/cph1ΔΔ. (A) PCA of all sampled time points during the yeast-macrophage interaction in the escape model. Uninfected samples are depicted in gray and are shown relative to the uninfected 0 h time point. C. glabrata- (blue) or efg1ΔΔ/cph1ΔΔ- (pink) infected macrophage samples are shown relative to the respective uninfected sample at the indicated time point (n = 3 donors). (B) Reduced gene ontology (GO) term analysis of macrophages’ transcriptomes relative to the uninfected samples at the same time points. Transcriptomic analyses were performed with macrophages from three donors, and the mean was used for further analyses.

After 32 h of infection, the phagocyte response to C. glabrata started to diverge from the response to the yeast-locked C. albicans mutant. For the C. glabrata infection, the macrophage transcriptome of the later time points (up until 80 h post infection) clustered together with this 32 h time point, indicating minimal or no further changes in the response. The response to yeast-locked C. albicans cells exhibited a further shift along the PC2 axis, yet all subsequent time points cluster together.

Overall, we did not observe a difference in the early macrophage response to both yeast cells, which would be the expected time at which a divergence should occur, potentially steering one toward a postponed exit. Thus, we conclude that the macrophages do not play a significant role in slowing down the exit event, which, in turn, suggests that C. glabrata’s delayed escape is likely fungal-driven.

The late macrophage response differs slightly between yeast cells of both species

Given the disparate late macrophage transcriptomic responses to the two tested yeast cell strains, we conducted a reduced Gene Ontology term analysis for the differentially regulated genes at two time points, 32 h and 72 h post-infection (Fig. 2B). At the earlier of these time points, C. glabrata replicates intracellularly, whereas the yeast-locked C. albicans mutant can escape from the phagocytes. At the later time point, C. glabrata exits the macrophage, while the C. albicans mutant already continues replicating in the medium, resulting in overgrowth of the host cells. As expected from the PCA plot findings, the enriched GO terms for upregulated and downregulated processes were similar for infections with both fungal species at the early 32 h time point (Fig. 2B), with few exceptions. Macrophages showed a specific upregulation of receptor- and signaling-associated processes in response to infection with the C. albicans mutant. Nevertheless, the C. glabrata-infected host cells exhibited a GO term enrichment of these signaling processes at the later 72 h time point, indicating a slightly delayed (pro-) inflammatory response toward C. glabrata.

To further investigate the macrophage inflammatory responses to either the C. glabrata or C. albicans efg1ΔΔ/cph1ΔΔ infection, we specifically compared infection-associated genes encoding chemokines and cytokines. Supporting the PCA plot, the transcriptional responses were generally very similar to both infecting species (Fig. S2). Among the most strongly upregulated genes in the first hours, we found, as expected, those coding for the lysosomal marker LAMP-3 and for pro-inflammatory cytokines such as IL-1α and IL-1β or IL-6. Especially at time points later than 8 h after uptake of the fungi, we saw a strong upregulation of CC chemokine genes, especially CCL1, CCL17, and CCL19. This profile of upregulated chemokines suggests a persistent pro-inflammatory signaling and an attraction especially of Th17-type cells that play a central role in fungal immunity (30).

With a few subtle exceptions, the pattern of these responses was nearly identical during the first 56 h of infection (in which a significant fraction of macrophages was still alive). Only when specifically looking for differences between the C. glabrata and C. albicans efg1ΔΔ/cph1ΔΔ-infected macrophages, did we observe a very strong upregulation of genes involved in hypoxia response in the efg1ΔΔ/cph1ΔΔ-infected macrophages (Fig. S2). This response included HILPDA (coding for a hypoxia-inducible lipid droplet-associated protein), EGLN3 (hypoxia-inducible regulator of HIF-1 and others), and genes for members of the heat-shock factor 70 family (HSPA1A, HSPA1B, HSPA6). The hypoxia-type reaction was, however, either not activated in macrophages infected with C. glabrata or, interestingly, only present in the early time points (3 h and 8 h) with a later drop in transcript levels. This is supported by a gene set enrichment analysis performed on KEGG pathways (31), which shows the HIF-1 (hypoxia-induced factor) signaling pathway to be enriched for lower transcript levels after uptake of C. glabrata compared to efg1ΔΔ/cph1ΔΔ.

The C. glabrata kinase Ksp1 is involved in the interaction with macrophages

Given that C. glabrata’s delay in exit from the macrophage seemed to be driven by the fungus itself, we sought to identify fungal elements involved in facilitating the persistence phase, or those that drive escape and regulate the timepoint when C. glabrata exits the host cell. To this end, we turned to kinases because of their well-established role as mediators of signaling cascades. We screened a C. glabrata non-essential kinase mutant library in J774A.1 macrophage-like cells, using propidium iodide staining as a marker for host cell lysis (Fig. 3A). We identified several fungal kinases that seem to play a role in the cell lysis of macrophages. Of the 96 mutants tested, 34 induce 75% or less of ATCC2001 (wild type)-like host cell lysis levels (indicated in dark blue in the figure), suggesting that the corresponding kinases may be factors that contribute to the exit event. Only seven kinase mutants exhibited an augmented host cell lysis, reaching 135% or more of the wild-type level (indicated in dark pink). These kinases may play a role in delaying the escape process and maintaining the intramacrophagal localization of C. glabrata. This includes the mutant lacking KSP1 (Saccharomyces cerevisiae orthologs have a role in TOR signaling, negative regulation of macroautophagy, regulation of translation in response to stress [32]), PKH3 (orthologs have a role in the cell wall integrity MAPK cascade [32]), ARK1 (potential role in actin filament organization, regulation of clathrin-dependent endocytosis and actin cortical patch localization [32]), IKS1 (unknown role [32]), ATG1 (required for induction of autophagy under nitrogen starvation and oxidative stress [33]), SLN1 (involved in two-component signaling pathway [34]), or ENV7 (orthologs have a role in regulation of vacuole fusion, non-autophagic, vacuolar protein processing [32]).

Fig 3.

Graphs showing C. glabrata ksp1ΔT mutant causes more macrophage damage and exhibits increased survival in human macrophages compared to wild type strains. Data reveal increased formation of petite colony variants during infection.

Screening of a C. glabrata kinase mutant library and characterization of a mutant lacking the Ksp1 kinase in macrophages. (A) C. glabrata kinase mutant library screening using propidium iodide staining of murine J774A.1 macrophage-like cells 24 h post-infection. Data are shown relative to C. glabrata wild-type strain ATCC2001 (n = 3). (B) Damage induction to primary human macrophages measured by quantification of lactate dehydrogenase release caused by three parental C. glabrata strains and the ksp1ΔT kinase mutant 24 h post infection (n = 6 donors). The lower dashed line indicates the LDH release background measured with an uninfected control. Statistical significance was calculated using a one-way ANOVA with Tukey’s multiple comparisons test (**, P < 0.01; ***, P < 0.001). (C) Survival of intracellular C. glabrata parental strains and the ksp1ΔT kinase mutant in primary human macrophages was determined by lysing and plating intracellular CFUs at the indicated time points (n = 6 donors). Statistical significance was calculated using a two-way ANOVA with Tukey’s multiple comparisons test (*, P < 0.05; **, P < 0.01). (D) Representative picture of an agar plate with the intracellular CFUs of ksp1ΔT 3 h after infection of macrophages. Arrows indicate examples for small colony variants. (E) Percentage of petite CFUs relative to the overall intracellular CFU numbers throughout the 3-day infection course in hMDMs (n = 5 donors). Statistical significance was calculated using a two-way ANOVA with Šídák’s multiple comparisons test (*, P < 0.05). Asterisks indicate significance compared to the ATCC2001 strain.

We proceeded to test the seven strongly lysing kinase mutants individually in primary human macrophages (Fig. 3B through D; Fig. S3). In this model, we evaluated their capacity to induce damage 24 h post infection, as well as their ability to survive and proliferate within macrophages (at 3 and 6 h post infection). In contrast to the results obtained from the screening in J774A.1 macrophage-like cells, only three mutants induced a significantly higher level of damage to the primary macrophages than the wild type (Fig. 3B; Fig. S3A). The genes deleted in these mutants were KSP1, ENV7, and ATG1. Notably, only the deletion of KSP1 also resulted in a significantly increased survival and replication of C. glabrata within primary macrophages at 3 h and 6 h post infection (Fig. 3C; Fig. S3C). The other tested mutants did not reach the intracellular CFU numbers of the wild type. To better differentiate the deletion mutant in the library (which was created using a tryptophan prototrophy marker) and a later independent deletion mutant (created with the dominant NAT resistance marker), we named the former mutant ksp1ΔT throughout the manuscript (and the latter ksp1ΔN; see below). Since the ksp1ΔT mutant induced the greatest level of macrophage lysis and showed an enhanced intracellular proliferation, we proceeded to investigate the mechanisms through which the Ksp1 kinase is involved in the C. glabrata-macrophage interaction.

Growth of the ksp1ΔT mutant in macrophages leads to a petite-like phenotype

In the course of evaluating the intracellular survival and replication rate of this kinase mutant, we observed small colony variants on agar plates after the retrieval of the ksp1ΔT mutant from macrophages (Fig. 3D). This phenotype resembled previously described petites, a small colony variant, which is associated with mitochondrial dysfunction and confers cross-resistance to phagocytic killing and fluconazole (25). In this earlier study, petites were shown to emerge mostly after 1 day of macrophage interaction. Therefore, we examined the emergence rate of petites in ksp1ΔT-infected macrophages (Fig. 3E) and confirmed the highest frequency of occurrence after 3 h and 24 h post-infection of primary macrophages. At 72 h post-infection, a minority of cells were petites, whereas no petites were observed at 6 h post-infection. The wild type showed a frequency of 0%–1% at all time points, as reported by a previous study (25).

The C. glabrata ksp1ΔT mutant shows only some of the petite hallmarks

At this point, it was unclear whether the differences in the macrophage interactions between mutant and wild type were due to the deletion of KSP1 itself or were rather induced by the petites that formed later due to this deletion. Ksp1 has yet to be characterized in C. glabrata; however, it is known that the Ksp1 kinase negatively regulates autophagy processes in S. cerevisiae, including mitophagy (Fig. 4A) (35). We hypothesized that this is also the case in C. glabrata, which would ultimately result in a loss of mitochondrial function and, thus, the formation of petites. A population of C. glabrata ksp1ΔT mutants, as a mixture of petites and grandes with a high propensity to switch toward the former, may therefore exhibit certain petite characteristics in standard assays for the petite phenotype (25, 28, 36). The key hallmarks of C. glabrata petites have been established previously (25). These include slow growth and appearance as small colonies (as observed in Fig. 3D), no growth in non-fermentable carbon sources, the loss of mitochondrial DNA (mtDNA) and function, the resistance to certain antifungal drugs, and the upregulation of efflux pump genes (25, 28).

Fig 4.

Experimental data showing ksp1Δ mutation in Candida glabrata causes mitochondrial dysfunction via reduced mtDNA, lower ATP levels, poor glycerol growth, higher antifungal susceptibility and altered autophagy gene expression linked to TORC1.

Characterization of the ksp1Δ mutant regarding the C. glabrata petite hallmarks. (A) Role of the Ksp1 kinase in Saccharomyces cerevisiae based on reference 35. One of Ksp1’s functions, among others, is the negative regulation of macroautophagy via the TORC1 pathway, which would affect mitochondrial functions as well. (B) Growth of the parental C. glabrata strains, the ksp1∆T kinase mutant from the kinase library, and the independently constructed ksp1∆N mutant in SD media supplemented with either 2% glucose or 4% glycerol as an alternative carbon source at 37°C for 4 days. Growth is shown as the mean of the area under the curve (n = 3). (C) Presence of mitochondrial DNA in the parental C. glabrata strains and both ksp1∆ kinase mutants was quantified from overnight cultures via PCR of the mitochondria-associated gene COX3 relative to ACT1 and to the levels in the wild type ATCC2001 (n = 3). (D) Mitochondrial function was determined by dropping serial dilutions of the parental C. glabrata strains and ksp1∆ kinase mutants on SD+4% glycerol agar containing 0.02% tetrazolium chloride, indicating functional mitochondria by dye reduction. Plates were grown at 37°C for up to 4 days (n = 2). (E) ATP concentration was measured from log-phase cultures of the indicated strains grown in YPD at 37°C, 180 rpm, and is depicted relative to the measured OD600 nm (n = 3). Statistical significance was calculated using a one-way ANOVA with Tukey’s multiple comparisons test (*, P < 0.05). (F) Antifungal susceptibility of the parental C. glabrata strains and both ksp1∆ kinase mutants measured by performing growth curves in YPD supplemented with the indicated antifungal concentration at 37°C for 3 days. Growth is shown as the mean area under the curve (n = 3). Statistical significance was calculated using a one-way ANOVA with Tukey’s multiple comparisons test (****, P < 0.0001). Asterisks indicate significance compared to the corresponding ATCC2001 strains. (G) Expression of efflux pump-related (top) and autophagy-related (bottom) genes of the parental C. glabrata strains and both ksp1∆ kinase mutants as determined by qPCR. Gene expression is shown as fold change relative to ACT1 and ATCC2001 as the corresponding wild type. The dashed line indicates no change (n = 3). Statistical significance was calculated using a two-way ANOVA with Dunnett’s multiple comparisons test (**, P < 0.01).

Growth curve experiments were performed in minimal medium containing either 2% glucose as the preferred carbon source or 4% glycerol as an alternative non-fermentable carbon source. We included the three C. glabrata background strains as isogenic controls. As expected, all wild type strains were able to grow in the presence of 2% glucose (Fig. 4B). However, the ksp1ΔT strain showed wild type-like growth in the non-fermentable carbon source glycerol, which is in contrast to the previously described petite phenotype (25) and suggests that it retained some mitochondrial functionality. The function of Ksp1 is related to starvation responses, and it is possible that the new genomic location of the TRP1 gene as a deletion marker influences its expression. We therefore also created a new, independent tryptophan-prototrophic mutant using a nourseothricin resistance cassette to replace KSP1. This ksp1∆N mutant did indeed show reduced growth on glycerol (Fig. 4B), supporting our suggested link of Ksp1 to nutrient homeostasis.

Given that the petite phenotype of C. glabrata is associated with the (transient) loss of mitochondrial DNA and function (25, 28), mtDNA was quantified by measuring the presence of the mitochondria-encoded gene COX3 via qPCR in the ksp1ΔT mutant (Fig. 4C). Notably, only low levels of the COX3 gene were detectable in ksp1ΔT, which is consistent with the petite phenotype. However, reduced levels of COX3 were also observed in the two background control strains, trp∆/his∆/leu∆ and trp∆, but not in the ksp1ΔN strain. This leads to the assumption that there is some loss of mitochondrial DNA in these strains, which, however, is not due to the deletion of KSP1.

An uncoupling of the electron transport chain would also result in mitochondrial dysfunction, despite the presence of mitochondrial DNA. Hence, we investigated the mitochondrial reductive power by performing drop tests on different types of agar containing tetrazolium chloride (TTC) (Fig. 4D; Fig. S4A and B). Only mitochondria-proficient cells are capable of reducing TTC, which results in the formation of red colonies (25). On YPD-TTC agar, the ksp1ΔT mutant formed red colonies, indicating functional mitochondria, whereas the isogenic wild type strains grew as white colonies (Fig. S4B). The latter strains began to form red colonies after a prolonged incubation time at 37°C, as they likely switched from glucose fermentation to respiratory chain activation. To circumvent that effect, the drop tests were repeated on minimal medium containing a non-fermentable carbon source, namely glycerol, allowing the immediate reduction of TTC. Indeed, ksp1ΔT and ksp1ΔN appeared as white colonies, indicating a potential mitochondrial dysfunction, whereas the wild type changed its color to a light red (Fig. 4D; Fig. S4A and B). To prove the mitochondrial dysfunction further, ATP concentrations were determined as a measure of TCA cycle and oxidative phosphorylation functions (Fig. 4E). In fact, the ksp1ΔT mutant showed a fivefold lower intracellular ATP level compared to the wild type, supporting the notion of a reduction in mitochondrial functionality. However, ATP levels were similar to the wild type for the ksp1ΔN mutant and for several established petites (Fig. 4E), suggesting that this test is not necessarily conclusive on its own for detecting mitochondrial dysfunctions (37).

Furthermore, transmission electron microscopy (TEM) pictures of the ksp1ΔT mutant revealed smaller mitochondria compared to the C. glabrata wild type (Fig. S5B), which could be the cause of the reduced mitochondrial activity. Finally, MitoTracker staining confirmed that the ksp1ΔT mutant has low levels of active mitochondria (Fig. S5A), similar to the previously described mitochondria-deficient mip1∆ mutant (25).

Formation of petites, moreover, can result in resistance to echinocandin and azole antifungals (25, 28). To test the antifungal susceptibility of the ksp1ΔT mutant, growth curve experiments were performed in media containing either fluconazole or caspofungin (Fig. 4F). Notably, the ksp1∆T mutant seemed to be the only strain growing at the tested fluconazole concentration, with only the ksp1∆N also showing a slight, but not statistically significant improvement in growth compared to the wild type. The ksp1∆T mutant furthermore grew significantly better in the presence of caspofungin compared to its background strain, but here we saw the same improvement also for ksp1∆N, suggesting that deletion of KSP1 leads to an increased propensity for petite-like phenomena. Reduced susceptibility to azoles is frequently driven by a PDR1-dependent upregulation of the efflux pump-encoding genes CDR1 and CDR2 (38), which has also been observed in petites (25). To investigate whether this phenomenon occurs in the ksp1ΔT mutant, the expression of the efflux pump genes was quantified via RT-qPCR (Fig. 4G). All tested strains showed transcript levels comparable to the wild type, indicating that the antifungal resistance in this mutant is due to PDR1-independent pathways.

Given that the KSP1 deletion might result in a higher petite formation rate due to an increase in autophagy, we analyzed the gene expression levels of autophagy-associated genes via RT-qPCR (Fig. 4G). The following genes were included in the analysis: ATG32 (involved in autophagy of mitochondria, mitochondria-nucleus signaling pathway and mitochondrial outer membrane, mitochondrion localization [39]), ATG17 (predicted role in non-selective autophagy [39, 40]), ATG11 (predicted role in pexophagy [39, 40]), and ATG8 (putative autophagosome protein; regulates mitochondrial function under ER stress [41]). The expression levels of these genes exhibited wild-type-like patterns in ksp1ΔT (Fig. 4G), and in ksp1ΔN, we saw potentially elevated transcript levels that did not reach statistical significance. Notably, the background strain trp∆/his∆/leu∆ also showed elevated transcript levels of the genes ATG32, ATG11, and ATG8, albeit only significantly for ATG32. This suggests that the disrupted nutrient homeostasis by auxotrophies might also play a role in regulating autophagy gene expression, but the kinase does not significantly affect the transcript level, especially in yeasts that already exhibit some petite-like phenotypes. Collectively, these data suggest a role of the Ksp1 kinase in regulating the petite formation, but at a population level, the mutant still behaved like grande cells in most assays.

ksp1ΔT-induced small colony variants isolated from macrophages are petites

As not all petite hallmarks were observed for the ksp1ΔT and ksp1ΔN mutants, we hypothesized that the C. glabrata ksp1∆ strains are likely a mix of petites and grandes, i.e. normal yeasts, which promotes overgrowth by either population under favorable conditions. Thus, we decided to isolate potential petites retrieved from macrophages and characterize them further regarding the petite key hallmarks (25) (Fig. 5). The petites were isolated from YPD plates of ksp1∆T (petites 2–5) or, as a control for the effect of nutrient stress, trp∆ (petite 1), which were retrieved either 1 day or 3 days after infecting primary macrophages (see Table 1).

Fig 5.

Experimental data showing Candida glabrata petite variants with reduced mitochondrial DNA, impaired glycerol growth, increased CDR1/CDR2 gene expression, increased antifungal susceptibility, and enhanced macrophage survival versus wild type strain.

Characterization of the small colony variants isolated from macrophages regarding the C. glabrata petite hallmarks. (A) Growth of the C. glabrata wild type strain and six isolated small colony variants (petites 1–6) in SD media supplemented with either 2% glucose or 4% glycerol as the alternative carbon sources at 37°C for 4 days. Growth is shown as the mean area under the curve (n = 3). Statistical significance was calculated using a one-way ANOVA with Dunnett’s multiple comparisons test (****, P < 0.0001). (B) Presence of mitochondrial DNA in the potential petites was quantified from overnight cultures via qPCR of the mitochondria-associated gene COX3 relative to ACT1 and in comparison to the wild-type ATCC2001 (n = 3). Statistical significance was calculated using a one-way ANOVA with Tukey’s multiple comparisons test (**, P < 0.01; ***, P < 0.001). Asterisks indicate significance compared to the ATCC2001 strain. (C) Mitochondrial function was determined by dropping serial dilutions of the potential petites on SD+4% glycerol agar containing 0.02% tetrazolium chloride, indicating functional mitochondria by dye reduction. Plates were grown at 37°C for up to 4 days (n = 2). (D) Antifungal susceptibility of the potential petites was measured by performing growth curves in YPD supplemented with the indicated antifungal concentration at 37°C for 3 days. Growth is shown as the mean area under the curve (n = 3). (E) Expression of efflux pump-related (top) and autophagy-related (bottom) genes of four petite strains was determined via qPCR. Gene expression is shown as fold change relative to ACT1 and compared to ATCC2001. The dashed line indicates no change (n = 3). Statistical significance was calculated using a two-way ANOVA with Tukey’s multiple comparisons test (****, P < 0.0001). (F) Damage induction measured by quantification of lactate dehydrogenase release of the wild-type strain and both ksp1Δ kinase mutants, as well as of all potential petites to primary human macrophages 24 h post infection (six donors). The lower dashed line indicates the LDH release background measured with an uninfected control. Statistical significance was calculated using a one-way ANOVA with Dunnett’s multiple comparisons test (**, P < 0.01). (G) Intracellular survival of the C. glabrata wild type strain, the ksp1ΔN kinase mutant, and all six potential petites in primary human macrophages was determined by lysing and then plating intracellular CFUs at the indicated time points (six donors). Statistical significance was calculated using a two-way ANOVA with Tukey’s multiple comparisons test (*, P < 0.05; ****, P < 0.0001).

TABLE 1.

Strains used in this study

Name Description Source
ATCC2001 C. glabrata reference strain American Type Culture Collection
efg1ΔΔ/cph1ΔΔ C. albicans yeast-locked mutant with deletions of the EFG1 and CPH1 genes in the SC5314 strain (29)
trp∆/his∆/leu Deletion of the HIS3, LEU2, and TRP1 genes in the ATCC2001 strain (20)
trp Deletion of the TRP1 gene in the ATCC2001 strain (20)
ksp1∆T Deletion of the KSP1 gene using the TRP1 marker in the trp∆ strain, ksp1∆::TRP1 trp1 This study
ksp1∆N Deletion of the KSP1 gene using the NAT1 resistance marker in the ATCC2001 strain, ksp1∆::NAT1 This study
petite 1 trp∆ retrieved from MDMs 1 day post-infection This study
petite 2 ksp1trp∆ retrieved from MDMs 1 day post-infection This study
petite 3 ksp1trp∆ retrieved from MDMs 1 day post-infection This study
petite 4 ksp1trp∆ retrieved from MDMs 3 days post-infection This study
petite 5 ksp1trp∆ retrieved from MDMs 1 day post-infection This study
petite 6 ksp1trp∆ retrieved from MDMs 3 days post-infection This study
CBS12766 C. auris reference strain Institut Pasteur, Paris
C. auris ksp1 Deletion of the KSP1 gene in the CBS12766 strain, ksp1∆::NAT1 This study

We performed growth curves in 2% glucose as the preferred carbon source, or 4% glycerol as an alternative non-fermentable carbon source, and observed that all isolated potential petites showed a significantly reduced growth in both tested carbon sources (Fig. 5A). Quantification of the mitochondrial COX3 gene revealed that all six potential petites had significantly lower levels compared to the wild type (Fig. 5B), indicating a reduced amount of mitochondrial DNA. When performing drop tests with TTC to investigate the mitochondrial reductive power, two of the six potential petites grew as white colonies (Fig. 5C), suggesting mitochondrial dysfunction. Importantly, petite 2 showed red and white colonies on the TTC agar, indicating a heterogeneous population of mitochondria-deficient and -proficient cells (Fig. 5C). Since this small colony variant was originally isolated as a pure petite colony, this could be a sign of a potential reversion to grande cells.

Quantification of intracellular ATP levels as a measure of a functional oxidative phosphorylation revealed that two of the six tested petites had significantly reduced intracellular ATP concentrations in comparison to the wild type (Fig. 4E). The remaining four petites showed large fluctuations in ATP concentrations, potentially due to the lack of a complete correspondence of ATP levels to petite/grande phenotypes (37) or a spontaneous reversion of the petites during some trials. Similarly, MitoTracker staining revealed a range of mitochondrial activity for all tested petites—the majority of cells resembled the mitochondria-deficient mip1∆ strain (Fig. S5A), while some cells exhibited wild type-like staining. This is most apparent for petite 4, which shows a combination of both MitoTracker-positive and -negative cells. As this small colony variant was initially isolated as a purely petite colony, it appears that it reverted to grande during the experiment. This suggests that the ksp1∆T-derived petite phenotype is transient and overall less stable than other small colony variants (25, 28).

To analyze whether the petites have a decreased susceptibility to echinocandin and azole antifungals, we performed growth curve assays in the presence of different concentrations of either fluconazole or caspofungin (Fig. 5D). As already indicated by the growth with glucose and glycerol, all petites grew less than the wild type in medium without antimycotics. In the presence of fluconazole and caspofungin, however, especially petites 2, 3, 5, and 6 exhibited augmented growth at all tested concentrations compared to the wild type.

To elucidate the mechanisms underlying the reduced susceptibility observed in these petites, we quantified the expression of the efflux pump-related genes PDR1, CDR1, and CDR2 via RT-qPCR in petites 1, 2, 3, and 4, albeit only petites 1 and 4 exhibited mitochondrial dysfunction (Fig. 5C). Notably, petite 1 and petite 3 demonstrated an increased expression of all three genes relative to ATCC2001 (Fig. 5E), while petites 2 and 4 exhibited upregulation of only a subset of genes. Specifically, petite 2 showed upregulation of PDR1 expression as well as slightly elevated transcript levels of CDR2, and petite 4 demonstrated upregulation of CDR1 transcription. The somewhat increased gene expression in all of the tested petites can explain their decreased antifungal susceptibility. Interestingly, the mitochondrial dysfunction does not seem to correlate with the upregulation of the antifungal resistance genes.

Additionally, RT-qPCR analysis of autophagy-associated genes revealed that all of the tested small colony variants showed a distinct increase in expression for ATG17 compared to ATCC2001 (Fig. 5E). Additionally, petite 2 showed elevated transcript levels of ATG32, and petite 3 of ATG11.

To investigate how these petites perform when exposed once more to the hostile environment of the macrophage, we re-infected macrophages with the six petite strains. We then analyzed their capacity to lyse the host cells 24 h after infection and assessed their survival within the macrophages at 3 h and 6 h post-infection. Interestingly, petites 2, 3, 5, and 6 induced damage similar to the ksp1ΔT mutant, which was close to the full lysis control. Notably, petites 5 and 6 caused significantly more damage than the wild type (Fig. 5F). Quantification of the intracellular survival in the macrophages revealed that petites 2 and 3 showed a significantly increased survival in macrophages at 6 h post-infection (Fig. 5G). The other petites did not exceed the wild type level. Thus, some of the ksp1ΔT-induced petites exhibit an improved virulence in macrophages. Interestingly, the ksp1ΔN mutant itself did not cause the same macrophage damage or reach the same intracellular CFU levels as the pre-formed petites. This suggests that the formation of petites, triggered also by the deletion of KSP1, is a prerequisite for these phenotypes, and remaining grande cells reduce the observable effect.

In summary, the isolated potential petites fulfill the majority of the key hallmarks of that phenotype, indicating that these small colony variants are in fact petites. Moreover, this shows that deletion of KSP1 tips the balance toward petite formation and leads to a mixed population of petites and grandes. Interestingly, the magnitude of the effect seems to depend in part on the deletion method used, by a tryptophan or nourseothricin marker, where stronger effects are often seen with the tryptophan-based protocol. We suggest that this may in part be due to a suboptimal regulation of nutrient homeostasis by a TRP1 gene put into a different genomic context. In support of this, staining with MitoTracker revealed a reduced fluorescence intensity compared to the wild type for both the ksp1∆N mutant and the trp∆ mutant. This indicates that not only the deletion of KSP1, but also the tryptophan auxotrophy itself can affect the mitochondria (Fig. S5A). In the ksp1ΔT mutant, the effect on the mitochondrial functionality is even more pronounced, potentially suggesting an imperfect complementation of the tryptophan auxotrophy. This combination likely leads to the observed phenotype of highly increased petite formation rate in this mutant.

Deletion of KSP1 can augment the release of pro-inflammatory cytokines in infected macrophages

Based on our data assembled so far, we propose that the observed phenotypes are associated with an altered immune response of host macrophages. Therefore, we monitored the production of defined cytokines by the macrophages during infection with the ksp1ΔT mutant (Fig. S6). After 24 h, ksp1∆T induced significantly more IL-1β release than the wild type (Fig. S6A), reflecting the strong phagocyte lysis caused by this mutant (Fig. 3B). While the ksp1∆N strain did not trigger IL-1β release above wild type level, both ksp1∆ mutants led to an augmented release of the pro-inflammatory TNFα, although only the increase due to ksp1∆T was statistically significant (Fig. S6B). This trend is inverted for the pro-inflammatory IL-8, with both ksp1∆ mutants exhibiting a lower release compared to the wild type (Fig. S6C). This discrepancy was only statistically significant for the ksp1∆N mutant. IL-6 release, in contrast, was not affected upon ksp1∆T infection, although the ksp1∆N mutant induced a more modest macrophage reaction (Fig. S6D). Notably, the ksp1∆T infection induced a significantly stronger release of GM-CSF than the wild type (Fig. S6E), a cytokine, which leads to the recruitment of monocytes to the site of infection and activates macrophages (21). The ksp1∆N mutant only elicited GM-CSF production at wild type levels.

Overall, the deletion of KSP1 seems to induce a stronger cytokine release during the C. glabrata-macrophage interaction, especially in the tryptophan marker-based deletion strain, which seems more prone to form petites. This is not solely due to a potentially incomplete reversion to tryptophan auxotrophy, as the trp∆ control strain did not exhibit this phenotype. Again, it seems that the effect of KSP1 deletion may be augmented by subtle differences in the nutrient homeostasis.

Role of Ksp1 in C. glabrata’s survival in human blood and in the C. auris-macrophage interaction

C. glabrata petites have previously been isolated from candidemia patients (36). Considering the observed role of Ksp1 to regulate petite formation, we hypothesized that the Ksp1 kinase might also play a role in C. glabrata’s survival in human blood. Hence, we infected whole human blood ex vivo with the isogenic wild type strains and both ksp1∆ mutants and then quantified their survival. Remarkably, only the nourseothricin marker-based ksp1∆N mutant exhibited a significantly higher level of survival in whole blood compared to the ATCC2001 strain (Fig. 6A). The ksp1∆T strain and the auxotrophic control strains demonstrated a survival pattern similar to that of the wild type, and the ksp1∆T mutant was the only strain with visible petites within the surviving colony-forming units. We calculated the proportion of petites among the total recovered ksp1∆T yeast cells. Notably, the number of petites declined gradually over the course of the whole blood infection (Fig. 6B), which suggests that the petite phenotype is less conducive to the survival of C. glabrata in whole blood and gets outcompeted by grande cells, which could compensate any benefit the strain gained from the KSP1 deletion that increased survival of the ksp1∆N strain. In support of this, the isolated petites themselves showed survival either similar to or lower than the ATCC2001 strain in whole blood (Fig. S7A). Collectively, our results indicate that Ksp1-induced petites are not essential for the survival of C. glabrata in human blood, and that the role of this kinase is rather restricted to macrophage environments and potentially other yet untested niches (Fig. 6C).

Fig 6.

Quantitative data showing ksp1Δ mutants have an increased blood survival but with a decreased petite formation. Model depicts KSP1 regulation of mitophagy affecting C. glabrata persistence in macrophages, escape timing, and antifungal susceptibility.

Survival of the ksp1Δ kinase mutant in ex vivo whole blood and how Ksp1 regulates the intramacrophage petite formation. (A) Survival of the three parental C. glabrata strains, the ksp1∆T kinase mutant from the kinase library, and the independently constructed ksp1∆N mutant in whole human blood was assessed over the course of 4 h by plating surviving CFUs. Survival is shown relative to the inoculum (n = 4 donors). Statistical significance was calculated using a two-way ANOVA with Dunnett’s multiple comparison test (*, P < 0.05; ***, P < 0.001). Asterisks indicate significance compared to the ATCC2001 strain. (B) Percentage of petites in relation to the overall counted CFUs of the ksp1∆T mutant at each time point plated during the whole blood experiment (n = 4 donors). (C) (Left panel) Model of how Ksp1 regulates the C. glabrata-macrophage interaction. With KSP1 being present, it negatively regulates mitophagy, leading to more mitochondria-proficient C. glabrata cells in the macrophage. Hence, the ratio of normal yeast cells vs. petites tips toward the less adapted grande cells, decreasing the overall intramacrophagal survival. As the intracellular fungal load affects the time point of escape, this leads to a delayed escape. In case of a deletion or physiological downregulation of KSP1, mitophagy is not negatively regulated, leading to more cells with mitochondrial dysfunction, which then become petite. The ratio of overall CFUs inside the macrophage tips toward more petite cells with increased survival inside the phagocyte. When these petites revert and start replicating after this persistence phase, this leads to an earlier escape due to the higher intracellular fungal mass. Within this escaping mixed population are petites with reduced antifungal susceptibilities. (Right panel) Regulatory circuit known from S. cerevisiae (35). We propose that a similar regulatory circuit is happening in C. glabrata with an unknown trigger, which could activate the Ksp1 kinase, leading to a downregulation of mitophagy. In case the trigger is missing or represses the Ksp1 function, mitophagy can take place.

As the Ksp1 kinase seems to be a key regulator for a delayed escape of C. glabrata cells, dependent on the genomic context of TRP1, we finally investigated the function of gene analogs in another emerging pathogenic Candida species, Candida auris (Candidozyma auris). C. auris has been shown to be phagocytosed by macrophages and to successfully escape after 8–10 h (42). Deletion of KSP1, however, did neither affect C. auris damage induction (Fig. S7B) nor survival and replication inside macrophages (Fig. S7C), indicating that the role of the Ksp1 kinase is not universal among pathogenic yeasts.

In summary, our study identified Ksp1 as a previously unrecognized regulator of delayed macrophage escape in C. glabrata. In our model of events (Fig. 6C), we suggest that it regulates, controlled by an unknown sensor and (in our experiment) likely variations in tryptophan levels, the level of autophagy of phagosome-trapped yeasts. When its activity is lowered, increased mitophagy leads to reversible loss of mitochondria and thereby the formation of more antifungal- and phagosome-resistant petites. Through this regulation of autophagy, Ksp1 also controls the kinetics of the final fungal exit from the engulfing macrophages.

DISCUSSION

Several studies have proposed that C. glabrata may exploit macrophages as Trojan horses to hide from more effective immune activities (12, 22, 23, 43). Initial evidence showed a prolonged intracellular persistence of C. glabrata cells inside these phagocytes for up to 7 days (24, 25). However, the mechanisms that enable C. glabrata to establish such persistence, as well as the specific fungal processes involved, have not yet been fully elucidated, but some relevant observations have been made: On the fungal side, the oxidative stress response has been linked to a reduced long-term survival in macrophages (44). On the host side, some evidence suggests that the macrophage Syk kinase—an enzyme involved in phagosome maturation—plays a role in the persistence (45). Notably, after deletion of SYK, C. glabrata’s intracellular replication is triggered within 4 h, whereas in wild type macrophages, the fungus remains undivided for up to 18 h (46). Until now, it has remained unclear whether C. glabrata is actively inducing its intracellular persistence or whether the host directs the fungus into this state, delaying its eventual escape from the macrophage.

With this study, we sought to answer the question of how the delay in escape of C. glabrata is regulated. Since the dimorphic fungus C. albicans does not persist in macrophages as long and instead escapes within a few hours via hypha formation, we hypothesized that the comparatively longer intracellular persistence of the yeast-only C. glabrata is due to its differences in morphology. Previous findings seem to support this notion: yeast-locked C. albicans mutants survive inside macrophages in a zebrafish model for 40 h and disseminate intracellularly to other organs (47). However, using human primary macrophages at physiological temperature, we found that a yeast-locked efg1ΔΔ/cph1ΔΔ C. albicans mutant exits no later than 24 h after infection, following a robust intracellular replication phase. In contrast, C. glabrata escaped these primary phagocytes only after 2–3 days, indicating that the delay in escape is not due to replication in the yeast form per se. Our findings for efg1ΔΔ/cph1ΔΔ are in good agreement with a previous study, which described for it a pronounced replication phase between 4 and 12 h, resulting in an enlarged phagosome (17). However, the same study also found similar exit dynamics for C. glabrata (17), which contradicts our observed delay in escape. This discrepancy may be due to different macrophage models, as the prior study used a less potent murine macrophage-like cell line, whereas we employed primary human macrophages.

Following a robust intracellular replication phase, fungi that grow in a yeast morphology within host cells—including Cryptococcus neoformans, Candida auris, and Histoplasma capsulatum—can escape from macrophages through various mechanisms (13, 22). C. auris induces metabolic stress, ultimately killing the macrophage (42), whereas C. neoformans and H. capsulatum trigger apoptosis to enable their exit (4850). C. neoformans can additionally escape macrophages via non-lytic exocytosis (5153). Both C. neoformans and H. capsulatum can also escape via mechanical membrane rupture once a substantial intracellular fungal burden is reached (50, 54). A similar mechanism has been proposed for C. glabrata, as macrophages with a high fungal load eventually burst (our data and reference 15). In support of this mechanistic proposition, we have established a direct link between fungal burden and macrophage rupture, showing that higher intracellular C. glabrata cell numbers accelerate escape.

Having ruled out that the inability to produce hyphae is the main reason for the delayed exit of C. glabrata, we investigated whether the macrophages dictate the delayed exit trajectory of the fungus. Interestingly, the transcriptional responses of macrophages following infection with either C. glabrata or the yeast-locked efg1ΔΔ/cph1ΔΔ C. albicans mutant remained strikingly similar up to 32 h, suggesting that the macrophages do not contribute to slowing the exit event. Such a uniform early host response has also been seen for other filamentous and non-filamentous Candida species of the CUG clade (55). Notably, the phagocyte response even seemed to be independent of fungal viability in these cases and was likely driven by the recognition of conserved cell wall components (55). While the overall composition of the cell wall is similar in C. albicans and C. glabrata, its protein content, spatial organization, and exposure differ significantly (56, 57). This suggests that the remarkably similar macrophage response observed in our data is likely attributable to an unspecific recognition of common cell wall components or the yeast shape itself, shared by both fungi.

Differences in the macrophage response were observed at later time points, mainly in the form of the hypoxia response, which was much stronger with the efg1ΔΔ/cph1ΔΔ mutant than with C. glabrata. A likely explanation for these differences is a stronger activation of the macrophages at these later time points, specifically with the C. albicans mutant, leading to a strong Warburg effect (58). An interesting alternative hypothesis offers itself in the form of differences in the mitochondrial activity of the phagocytosed yeasts. If C. glabrata takes a path of reduced mitochondrial activity (as described below), this could lead to lower overall oxygen consumption and alleviate a hypoxic response that could be triggered by the metabolic activity of the phagocytosed fungus.

Our findings up to this point indicate that the delayed escape of C. glabrata cells is fungal-driven. Our fungal mutant library screen in macrophages identified several kinases, among them especially Ksp1, the deletion of which accelerated macrophage cell lysis and led to a significantly increased fungal survival. Moreover, the ksp1∆T strain readily formed small colony variants, or petites, inside macrophages at much higher frequencies than previously observed for the C. glabrata wild type (25). Petites are characterized by mitochondrial deficiency, increased antifungal and stress resistance, and, importantly in this context, augmented survival in phagocytes (25). In C. glabrata, we were able to show that KSP1 deletion in a strain with intact nutrient homeostasis results in upregulation of the mitophagy gene ATG32, suggesting that petite formation is driven by a normally Ksp1-suppressed increase in fungal mitophagy. Moreover, the ksp1∆T strain contained smaller mitochondria, contributing to the reduced mitochondrial functionality.

A link between the Ksp1 kinase and autophagy regulation was first identified in the baker’s yeast S. cerevisiae (35). Here, Ksp1 suppresses autophagy by activating the nutrient-signaling Tor kinase complex 1 (TORC1), a process partially mediated by the Ras/cAMP-dependent protein kinase A pathway (35). In nutrient-rich conditions, Ksp1-activated TORC1 inhibits autophagy. Under stress, however, TORC1 is inactivated, allowing autophagy to proceed (59, 60). We propose that in C. glabrata, Ksp1 is regulated by an upstream sensor that monitors the yeast’s environment (Fig. 6C). Before macrophage internalization, C. glabrata’s environment is comparatively rich in nutrients, which would trigger activation of Ksp1 and subsequently TORC1. This cascade inhibits mitophagy, preventing the formation of petites and ultimately reducing C. glabrata’s survival under the upcoming starvation and stress conditions of the maturing phagosome (61) (Fig. 6C). Wild-type C. glabrata cells may sense this shift inside the phagosome, leading to Ksp1 and TORC1 inactivation and a subsequent increase in mitophagy. The transient decline in mitochondrial functionality, due to their reduced numbers, would promote petite formation, which enhances intracellular survival of C. glabrata (Fig. 6C). Later, when the immediate starvation has been overcome, and Ksp1 is active again, the yeast cells could undergo mitochondrial replication. After they regain full mitochondrial proficiency, they rapidly proliferate, generating a substantial fungal burden and facilitating macrophage lysis.

Supporting our findings on Ksp1-regulated mitochondrial autophagy and its impact on C. glabrata’s survival and escape from macrophages, previous studies have demonstrated that autophagy of C. glabrata cells is induced upon phagocytosis, and that this promotes intracellular survival (33, 40). Moreover, transcriptional analyses comparing petites and non-petites inside of THP-1-derived macrophages have revealed an upregulation of autophagy processes, specifically mitochondrial autophagy, in the small colony variants (28).

We observed a specific temporal pattern in the presence of ksp1∆T petites within the phagosome, from an initial peak at 3 h, to undetectable levels at 6 h, and back to high frequency at 24 h. A possible explanation is that the high mitophagy upon first contact with the harsh phagosomal environment—unmodulated due to lack of Ksp1—triggered an initial high rate of petite formation. While these C. glabrata petites still had available nutrient reserves, they were outcompeted by the remaining grandes, only to become the better adapted form again at later time points when nutrients became even more limiting. This time point may also represent a critical stage in the pathogen’s intracellular lifecycle, potentially marking a decision point between the prolonged macrophage persistence and initiation of escape. A detailed dissection of these events may, in the future, give more insight into the triggers and signaling events that guide this decision.

A large number of yeast species possess the ability to form slow-growing petite cells by spontaneous loss of respiratory functions (62, 63). For C. glabrata, prior research has shown that mutations in genes of mitochondria-associated pathways (28, 36), as well as loss of mitochondrial DNA, can induce the small colony variant state (25). Here, we have identified an additional mechanism mediated by mitophagy, which may represent a more transient way of forming petites, as the number of mitochondria can quickly be recovered through replication and division of the organelle (64, 65). This transient switch between the petite and non-petite state would allow C. glabrata to finely regulate its escape from macrophages—either adopting a delayed exit trajectory that favors a prolonged intracellular persistence or facilitating a more rapid escape when necessary. The environmental cues that lead to either decision remain unclear and warrant further investigation but are likely linked to a changing nutritional state or oxidative stress experienced by yeast cells. We already found hints toward nutrient starvation influencing the ksp1∆-derived petite phenotype, as we show that even a mutant where the TRP1 gene was used as a deletion marker, resulting in an altered genomic context, showed an increased mitochondrial deficiency. We suggest that this is due to subtle misregulation of the tryptophan biosynthesis in this mutant, which, maybe serendipitously, enhanced the nutrient-dependent ksp1∆ phenotypes even further in one of our two mutants.

Either way, the induction of the petite phenotype in C. glabrata appears to affect predominantly the fungal side of the interaction, as the macrophage transcriptomic responses to petites and non-petites have earlier been shown to be largely indistinguishable (28). While this was found with petites induced by mitochondrial mutations, it is likely also true for Ksp1-induced petites.

We observed the Ksp1-regulated mitophagy in the tryptophan marker-based mutant. As described above, this may have subtly exacerbated the nutrient stress of C. glabrata in the phagosome and thereby further increased the Ksp1 deletion-induced petite formation, as shown with the MitoTracker staining. The precise role of this and other amino acids in intraphagosomal petite formation and survival remains to be elucidated. Nevertheless, it has been shown that the slow growth of S. cerevisiae petites is largely due to perturbations in their amino acid metabolism (37). Additionally, bacterial small colony variants are often auxotrophic for aromatic amino acids, including tryptophan (66), suggesting a link between the petite phenotype and tryptophan.

Macrophages infected with the ksp1∆T mutant also exhibited a more pronounced induction of proinflammatory cytokines—specifically IL-1β and TNF-α—compared to those infected with the wild type, suggesting that the Ksp1 kinase of C. glabrata may attenuate immune activation. Moreover, this stronger cytokine response may be attributable to the high proportion of petites present, especially in this mutant, as these variants have been shown to trigger a pro-inflammatory transcriptional state in THP-1 macrophages (28). Furthermore, infection with the ksp1∆T mutant led to an increased release of GM-CSF. A strong GM-CSF release (compared to other yeasts such as C. albicans or S. cerevisiae) has been observed previously for C. glabrata (15). Given that the ksp1∆T mutant produces a high proportion of petites, it is intriguing to speculate that the petite phenotype further augments GM-CSF production, thereby recruiting more macrophages to the site for C. glabrata to infect. Alternatively, the Ksp1 kinase may normally function to temper the GMCSF release, ensuring that only a limited number of macrophages are attracted—sufficient to provide space for intracellular survival without provoking an overwhelming immune response that could lead to fungal clearance.

The survival advantage conferred by Ksp1-induced petites appears to be specific to the macrophage phagosomal niche. In whole blood infected with the ksp1∆T mutant, the number of recovered petites declined, indicating that this phenotype may not be beneficial in that specific environment. Although petites have been isolated from candidemia patients (25, 28, 36), in vivo studies in mice consistently reveal a lower fungal burden for these small colony variants (28, 36), implying that the grande state is generally more favorable for in vivo survival. This is further supported by observations that no petites emerge when sterile blood cultures are spiked with C. glabrata (36). Notably, petites isolated from candidemia patients were frequently recovered following treatment with azoles or echinocandins (28, 36), and studies in mice suggest that under echinocandin treatment, the petite phenotype may confer a survival advantage (28). In alignment with these findings, C. glabrata’s small colony variants have been shown not to be affected by echinocandins (28). Moreover, petites demonstrate decreased susceptibility to azoles (25, 28), and the petite phenotype can even be induced by fluconazole treatment, conferring a cross-protection against phagocytes (25). Similarly, both the ksp1∆ mutant itself and the Ksp1-induced petite phenotype led to decreased susceptibility to fluconazole and caspofungin, suggesting a broader Ksp1-derived survival strategy of C. glabrata. The precise mechanisms underlying the resistance observed in the ksp1∆ mutant and petites remain to be elucidated—and whether a reduced number of mitochondria in an otherwise grande ksp1∆ mutant strain may already suffice to trigger these effects. Previous studies have identified an upregulation of the efflux pump-related genes PDR1 and CDR1, providing protection from fluconazole in petites (25, 28), which we confirmed in some of the ksp1∆T-induced small colony variants.

Our analyses did not reveal all hallmarks of the petite phenotype in the ksp1∆T-derived small colony variants. As noted above, it is also conceivable that only a subset of the C. glabrata population transitions to the petite state, given that mitophagy only exerts a transient effect on mitochondrial function. Consequently, in a form of bet-hedging strategy, a heterogeneous population of petite and grande cells may arise, with each subpopulation potentially prevailing under different environmental conditions. While the grande subpopulation proliferates better in the presence of non-fermentable carbon sources or survives better within whole blood, the petite subpopulation has survival and growth advantages in the presence of macrophages. Thereby, the relative distribution of these subpopulations may change with the fluctuating environments throughout the infection process. Such mixed populations have been documented previously in C. glabrata (28) as well as in bacterial small colony variants (67), which complicates the identification of petites in clinical and laboratory settings.

Small colony variants are frequently seen in bacteria such as Staphylococcus aureus (68), where they can be recovered intracellularly and from patient samples (69). In contrast, among yeasts, such variants have been reported—to our knowledge—so far only in C. glabrata (25, 28), S. cerevisiae (25, 37, 70), and C. albicans (71). Given that C. auris is phagocytosed by macrophages and escapes at a slower pace compared to C. albicans (42), we investigated whether this emerging pathogen might employ a similar Ksp1-driven strategy. However, deletion of the KSP1 homolog did not affect the C. auris-macrophage interaction. This outcome is not entirely surprising, as C. auris has a markedly different approach for intracellular replication and survival. In this regard, C. auris more resembles C. albicans and escapes from macrophages within a few hours (42) rather than days, as for C. glabrata. Moreover, the putative Ksp1 kinase protein sequence in C. auris shares only 34% similarity with C. glabrata’s ortholog (candidagenome.org), indicating potentially different roles in both species. Additionally, a previous study has suggested that C. auris may be a petite-negative yeast that does not tolerate loss of mitochondrial DNA or respiratory function (72). Collectively, these observations indicate that the Ksp1-regulated delay in macrophage escape—and its effect on antifungal resistance—is a specific mechanism that C. glabrata employs as part of its overall strategy as a successful human pathogen.

MATERIALS AND METHODS

Fungal strains and culture conditions

The strains used in this study are depicted in Table 1.

For all experiments, single colonies were picked from yeast extract peptone dextrose (YPD) agar plates and grown overnight in liquid YPD medium in an orbital shaker at 180 rpm at 37°C for C. glabrata and 30°C for C. albicans and C. auris. Yeast cells were then harvested by centrifugation (20,000 × g, 1 min), washed twice with phosphate-buffered saline (PBS), and the yeast cell number was adjusted to the value required in the experiment.

Generation of deletion mutants

All primer sequences were designed manually using NCBI Primer-BLAST (73) and Serial Cloner. Primers were designed and named using the same nomenclature and rules as in reference 74. Barcode tags were added to primers based on those used for knockout of the orthologous genes in Saccharomyces cerevisiae (75). Oligonucleotides were either commercially purchased in 96-well plate format (ThermoFisher, France) or synthesized in-house using DNAscript SYNTAX platform (France).

The TRP1 gene was used as a selection marker for the construction of kinase knock-out mutants in the C. glabrata ATCC2001 trp1∆ strain (20). We used fusion PCR to generate the deletion cassettes. In a first step, 500 bp DNA fragments located upstream or downstream of the target ORF were amplified from C. glabrata genomic DNA using primers harboring, at their 5′ end, constant U1 and D1 sequences (Table S1), while TRP1 was amplified from plasmid pCgACT-PTDH3-GTW (74) using tripartite primers with (i) constant U1 or D1 sequences, (ii) gene-specific barcode tags, and (iii) 5M or 3M sequences hybridizing to the TRP1 gene. The conditions for a 50 µL reaction were as follows: 1× Taq buffer, 0.2 µM dNTPs, 0.5 µM each primer, 1 µL Taq-Polymerase; 94°C for 10 min, 50 cycles 94°C for 30 s, 55°C for 30 s, 68°C for 30 s for flanking DNA fragments and 2 min for TRP1, finally 10 min at 72°C. Fusion PCR was then carried in a 4 × 100 µL volume with the same conditions as above: 1× long range DNTPack buffer, 0.2 µM dNTPs, 0.5 µM each primer, 0.5 µL long-range DNTPack (Roche) and 1 µL PCR containing flanking fragments, 4 µL of PCR containing TRP1; 94°C for 10 min, 5 min of elongation at 68°C followed by 35 cycles 94°C for 30 s, 55°C for 30 s, 68°C for 3 min, finally 10 min at 68°C. The final deletion construct was purified by ethanol precipitation. Alternatively, we used the NAT1 gene amplified from plasmid pV1093 (76) as a selection marker. The same protocol was applied except for the use of oligonucleotides devoid of barcodes and hybridizing to NAT1 instead of TRP1.

C. glabrata ATCC2001 trp1∆ was used to establish the collection of kinase knock-out mutants. From overnight cultures, subcultures in 50 mL YPD were inoculated at an OD600 of 0.1 and grown for 5–6 h at 30°C to reach an OD600 of 0.4–0.8. Hereafter, yeast cells were kept at 4°C. Yeast cells were washed twice in 2 mL TE (Tris 0.1 M, pH 7.5; EDTA 10 mM, pH 8) and once in 1 mL LiAc/TE (1× TE, pH 7.5; LiAc 0.1 M, pH 7.5). Cells were resuspended in 200 µL LiAc/TE. 50 µL of C. glabrata cells were then incubated for 30 min at 30°C in 300 µL 1× PEG (1× TE, pH 7.5; LiAc 0.1 M, and 40% PEG 4000) containing 5 µL of salmon sperm DNA (10 mg/mL) and 10 µL of the fusion PCR fragment. Heat shock was performed in a water bath at 42°C for 15 min, cells were centrifuged at 4,000 rpm for 5 min, and resuspended in 100 µL water. Finally, yeast cells were plated on synthetic complete (SC) agar lacking tryptophan and grown at 37°C for 2 days.

C. auris strain 5175 was transformed using a slightly different protocol; specifically, heat shocks were performed in a water bath at 44°C for 15 min, cells were centrifuged at 4,000 rpm for 5 min, and re-suspended in 100 µL water. Finally, yeasts were plated on SC containing 200 µg/mL nourseothricin and grown at 37°C for 2 days.

To construct the independent ksp1∆N mutant, the open reading frame (CAGL0F03311g) was replaced with a NAT1 resistance cassette in the strain ATCC2001.

Growth assays to assess mitochondrial activity

Similar to a previous publication (25), C. glabrata cells were adjusted in a 96-well plate to 1 × 104 yeast cells per well in 200 µL SD medium (1% yeast nitrogen base, 0.5% ammonium sulfate) either supplemented with 2% glucose or, as a non-fermentable carbon source, 4% glycerol. Growth was assessed as absorbance at 600 nm at 37°C for 4 days in a multiwell plate reader (Infinite M200 PRO plate reader; Tecan Group GmbH) with orbital shaking.

Mitochondrial activity was tested by dropping 5 µL of serially diluted yeast cultures on solid YPD agar supplemented with 0.02% TTC (2,3,5-triphenyltetrazolium chloride) (Sigma-Aldrich). As differences in fermentation capability can affect the TTC test, further drop tests were performed on SD agar plates (1% yeast nitrogen base, 0.5% ammonium sulfate, and 2% agar) either supplemented with 2% glucose or 4% glycerol. Pictures of the drop tests were taken at the indicated time points after incubation at 37°C.

Antifungal susceptibility test

C. glabrata cells were adjusted in a 96-well plate to 1 × 104 yeast cells per well in 200 µL YPD supplemented with increasing fluconazole (4, 8, 16, 32, 64, 128, and 256 mg/mL) or caspofungin (0.125, 0.25 µg/mL) concentrations. Susceptibility was tested by absorbance measurement at 600 nm at 37°C continuously for 75 h.

Culture of J774A.1 macrophage-like cells

The J774A.1 macrophage-like cells (mouse BALB/c monocyte macrophage, ATCC, #ATCC-TIB-67) were routinely cultivated at 37°C and 5% CO2 in RPMI 1640 (Gibco, Thermo Fisher Scientific) supplemented with 10% fetal bovine serum (FBS) (Bio&Sell) for no longer than 15 passages. For propidium iodide screenings, J774A.1 cells were seeded at a total concentration of 4 × 104 cells/well in a 96-well plate and incubated overnight at 37°C and 5% CO2. Prior to the infection, the old medium was aspirated, the macrophages were washed once with pre-warmed PBS, and RPMI without FBS was added.

Propidium iodide screening

Live-cell imaging of the host cell lysis dynamics was performed as described previously (77). Briefly, C. glabrata strains were prepared as described above, and J774A.1 cells were infected with an MOI of 5. 4 µg/mL propidium iodide was added to each well. The infection was imaged in a Zeiss Celldiscoverer 7 for 24 h at 37°C and 5% CO2. Pictures were taken every 30 min at 5 × 2 magnification from four different positions per well in bright field, and fluorescence was measured in the DsRed filter (wavelength 555 nm). Microscopy pictures from the red channel were exported and analyzed using Fiji (78). Using the threshold function, images were converted to binary images, and the number of PI-positive nuclei was counted for each image using macro batch analysis and the Particle Analyzer tool. The counts of the PI-positive J774A.1 cells for each C. glabrata mutant were calculated as a percentage of the PI counts for the C. glabrata wild-type strain ATCC2001.

Monocyte isolation from buffy coats and macrophage differentiation

Human peripheral blood was collected from healthy volunteers. Preparation of human monocyte-derived macrophages (hMDMs) was performed as described before (79) based on the selection of monocytes by magnetic automated cell sorting of CD14-positive monocytes and a differentiation period of seven days. Adherent hMDMs were detached with 50 mM EDTA in PBS and seeded in 96-well plates (4 × 104 hMDMs/well) in RPMI supplemented with 10% FBS and 50 ng/mL M-CSF (ImmunoTools) and incubated overnight. Incubation of hMDMs was always performed at 37°C and 5% CO2. Before infection with C. albicans, the previous medium was removed, hMDMs were washed once with pre-warmed RPMI, and RPMI without FBS was added.

Primary macrophage infections to assess damage induction, intracellular survival, and replication

C. glabrata strains were prepared as described above, and hMDMs were infected with an MOI of 5 or an MOI of 1 (indicated in the figure legends). To assess damage induction, after 24 h of infection, the release of the cytoplasmic enzyme lactate dehydrogenase (LDH) was measured as a marker for necrotic epithelial damage (3) using a Cytotoxicity Detection Kit (Roche) according to the manufacturer’s protocol. The LDH release was calculated as a percent of a full lysis control, where maximum LDH release was induced by the addition of 0.5% Triton X-100 to uninfected macrophages for 10 min.

To determine intracellular fungal survival and replication 3 h and 6 h post infection, the supernatant was removed and macrophages were lysed by adding 200 µL ddH2O, scraping the well, and pipetting up and down to break the cells. This was repeated with each well five times. The supernatant and lysate were each appropriately diluted with PBS and plated on YPD plates. The plates were incubated at 37°C, and CFUs (overall colony numbers and petite colonies) were determined after 1 day and 4 days to assess fungal survival and intracellular replication.

To study the escape of C. glabrata, a previously published persistence model (25) was adjusted. Briefly, hMDMs were either seeded in a 24-well plate (2 × 105 hMDMs/well) for fungal CFU plating or in a six-well plate (1 × 106 hMDMs/well) to take samples for RNA isolation and additionally plate the fungal CFUs. Importantly, the macrophages were not infected in RPMI without FBS, but in RPMI supplemented with 10% human serum (Bio&Sell, human serum, AB male, sterile-filtered, lot. BS.321496.5D). C. glabrata was prepared as described above, and the macrophages were infected with an MOI of 1. After 3 h, the medium (pre-warmed RPMI + 10% HS) was exchanged in all wells except for those for the 3 h time point (1 mL for 24-well plates, 3 mL for 6-well plates). Afterward, the medium was exchanged daily: for the 24-well plate, 500 µL was replaced with fresh RPMI + 10% HS. For the six-well plate, 1 mL was exchanged. To plate the CFUs, the supernatant was collected in a 50 mL conical tube. The remaining extracellular yeast was retrieved by one wash step with PBS and combined with the supernatant. To collect the intracellular CFUs, the macrophages were lysed by adding 0.5% Triton X100 for 10 min. After three subsequent wash steps with water, which were all combined in a 50 ml conical tube, the lysate and supernatant were appropriately diluted with PBS and plated on YPD plates. The plates were incubated at 37°C, and CFUs were counted after 1 day.

In general, after counting the CFUs after 1 day, all YPD plates were incubated for a further 3 days at 37°C to check for petites. The petite frequency was determined similarly to a previous publication (25), but in a 96-well plate (MOI 1). For that, the same survival and replication assay was performed, but instead of plating only after 3 h and 6 h, 24 h and 72 h time points were added for plating the intracellular fungal cells. All YPD plates were incubated for at least 4 days at 37°C. Appearing small colonies were re-streaked on YPD agar for further characterization.

DNA isolation and check for the presence of mitochondrial DNA

DNA was isolated from the C. glabrata strains, which were grown in YPD overnight at 37°C and 180 rpm. The cultures were collected in 50 mL conical tubes and centrifuged for 5 min at 4,000 rpm. The pellet was resuspended in distilled water, and cells were centrifuged again at 13,000 rpm for 2 min. The pellet was resuspended in proteinase buffer (10 mM Tris-Cl, pH 7.5; 50 mM EDTA, pH 7.5; 0.5% SDS; 1 mg/mL proteinase K). Cells were incubated for 30 min at 60°C. 0.8 mL phenol/chloroform/isoamyl alcohol was added, the samples were vortexed for 4 min, and centrifuged at 13,000 rpm for 3 min. To precipitate the gDNA, the hydrophilic phase was added 1:1 to ice-cold isopropanol and centrifuged at 13,000 rpm for 5 min. The gDNA was washed with 70% ethanol, centrifuged at 13,000 rpm for 2 min, and the air-dried pellets were resuspended in 80 µL nuclease-free water supplemented with 0.2 mg/mL RNase (Roth).

For mtDNA quantification, 100 ng DNA was quantified by qPCR amplification of CgCOX3 as mitochondrial target gene and CgACT1 as housekeeping gene (primers shown in Table 2).

TABLE 2.

Primers used for RT-qPCR and mtDNA quantification

Primer Sequence 5′ to 3′
qPCR ATG32 fw ATGGTAAGGCAGAATCACACC
qPCR ATG32 rev TTGGTTGTCTTCACGTACTGG
qPCR ATG11 fw AGGATGAAAATATGGGGCAGG
qPCR ATG11 rev TCAATCCCTTCTTCAGACCCT
qPCR ATG8 fw CATTTGAGAAGAGGAAAGCGG
qPCR ATG8 rev CATAAGCGATGCAGTTGGTG
qPCR ATG17 fw AAGGAAGGTTGTATGCAGGAC
qPCR ATG17 rev TCTCCTGGCCATATTGTCTCT
qPCR PDR1 fw TGGTCGATGAATTGTTTGGGT
qPCR PDR1 rev TGGTGTAGGAGTCATAGGCAT
qPCR CDR1 fw GTATTCCGGTTTTGCAATCCC
qPCR CDR1 rev CTCAAGAAGTCGTCACCCAAA
qPCR CDR2 fw ACCGAAAGAGTATGTGCATCC
qPCR CDR2 rev TACCCTCCTTCTTCATACGCT
mtDNA CgCOX3 fw TCAAGCAGTACAACCTACAGA
mtDNA CgCOX3 rev TGTAAACCAGTACCAGCATAGA
CgACT1 fw GGTGACGGCGATTATGAGTTA
CgACT1 rev AACACCATTACCGGGCAATAA

RNA isolation

To investigate the regulation of autophagy and efflux pump genes in the C. glabrata ksp1∆ mutants and the petites, overnight cultures of C. glabrata strains were centrifuged at 3,000 rpm for 2 min. The supernatant was removed, and the pellet was shock-frozen in liquid nitrogen. Thawed pellets were resuspended in 600 µL RNeasy Lysis (RLT) buffer (Qiagen) containing 1% β-mercaptoethanol, and RNA was isolated as described before (80).

The macrophage response to C. glabrata and the yeast-locked C. albicans efg1ΔΔ/cph1ΔΔ mutant was determined in the escape model. In brief, hMDMs were seeded in a six-well plate (1 × 106 hMDMs/well) and infected with an MOI of 1 in RPMI+10% HS. At nine time points (0 h, 3 h, 8 h, 24 h, 32 h, 48 h, 56 h, 72 h, and 80 h), the medium was aspirated, and 500 µL RNeasy Lysis (RLT) buffer (Qiagen) containing 1% β-mercaptoethanol was added. The host cells were detached using a cell scraper and vortexed for 20 s to lyse the cells. To remove the fungal cells, the solution was centrifuged for 10 min at 20,000 × g at 4°C. The host RNA-containing supernatant was transferred into an RNase-free tube and frozen in liquid nitrogen. RNA was isolated from the thawed supernatant using the RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions. RNA concentrations were quantified using a NanoDrop 1000 Spectrophotometer (ThermoFisher Scientific), and RNA quality was assessed with an Agilent 2100 Bioanalyzer (Agilent Technologies).

Quantitative reverse transcription PCR

Isolated RNA (500 ng) was treated with DNase I (Fermentas) following the manufacturer’s instructions, and subsequently transcribed into cDNA using 0.5 µg pligo(dT)12–18 primer, 200 U Superscript III Reverse Transcriptase and 40 U RNaseOUT Recombinant RNase Inhibitor (Thermo Fisher Scientific). The obtained cDNA was diluted 1:5 and used for qPCR with GoTaq qPCR Master Mix (Promega) in a CFX96 thermocycler (Bio-Rad). The expression levels were normalized against CgACT1. All primers used are listed in Table 2.

RNA sequencing and transcriptional analysis

Library preparation and RNA sequencing were carried out at Genewiz/Azenta (Leipzig, Germany). After poly(A) selection, the mRNA was fragmented, and cDNA libraries were generated for each sample. Libraries were sequenced with 2 × 150 read lengths using an Illumina NovaSeq platform.

Reads were aligned to the human standard genome using bowtie2 v2.5.2 (81) with standard settings. Transcripts were counted by Subread featureCounts v2.0.5 (82) followed by median ratio normalization.

Next, we performed gene set enrichment analysis and visualized clustering patterns of our data across different strains and conditions using R (v4.3.2). To visualize the transcriptomic response of the macrophages to both species over time, first principal component analysis was performed using the prcomp function in the stats package (v4.3.2). The first two components were selected, and k-means clustering with two centers was performed using the factoextra package (v1.0.7). Reduced GO term analysis, upregulated and downregulated genes were defined with a log2 fold change threshold of ±1.5. Significantly enriched pathways (P < 0.05) were identified using the compareCluster function in the ClusterProfiler package (v4.10.1) (83). A subset of pathways of interest was manually curated and visualized.

Whole blood fungal survival

Human whole blood was freshly drawn from healthy volunteers in anticoagulation tubes with recombinant Hirudin (Sarstedt). C. glabrata overnight cultures were prepared as described above, 106 yeasts were added to 490 µL whole blood and incubated at 37°C under gentle rolling of the tubes. Samples were taken after 15 min, 30 min, 60 min, 120 min, and 240 min and plated on YPD in appropriate dilutions in PBS. The plates were incubated at 37°C, and CFUs were determined after 1 day to assess fungal survival and incubated afterward for a further 3 days to check for petites.

Cytokine release quantification

Supernatants of infected primary macrophages (MOI 5) were collected 24 h post infection after centrifuging samples for 10 min at 250 × g. The release of IL-8, IL-6, IL-1β, TNFα, and GM-CSF was measured using commercially available human enzyme-linked immunosorbent assay kits (R&D Systems) according to the manufacturer’s protocols.

Mitophagy staining and heterogeneity measurement

C. glabrata overnight cultures were prepared as described above. Subcultures were inoculated 1:100 and grown for 4 h at 37°C. 12 mL of the logarithmically growing culture were harvested and stained with MitoTracker Deep Red FM (Invitrogen) at 37°C for 30 min. After two subsequent wash steps with PBS, the pellet was resuspended in PBS, and 1:100 dilutions were pipetted into 8-chamber ibiTreat µ-slides (ibidi). Images were taken with 40× magnification using water immersion with an Axio Observer Z1 (Zeiss). To determine the population heterogeneity, a region of interest (ROI) of the same size was selected for all images. All fungal cells, petite and grande, were counted within this ROI. To analyze the mitophagy staining, the images were evaluated using ImageJ 1.51n (National Institute of Health, USA). To avoid a biased selection, at least 15 fungal cells per sample and replicate were selected in the brightfield image. These selected areas were copied to the fluorescence image, and the measured mean gray scale of those was used as “mean fluorescence intensity.”

TEM of C. glabrata cells

For TEM, C. glabrata overnight cultures were diluted 1:50 in YPD 1% peptone and incubated for 5 h at 37°C and 180 rpm. After centrifugation, the pellet was washed three times in PBS and adjusted to an OD of 0.5 in 10 mL 0.6 M KCl, 50 mM dithiothreitol, 5 mM EDTA, and 0.5 mg/mL Pronase (Roche). Following an incubation step for 30 min at 30°C and 180 rpm, the fungal suspension was spun down, and the pellet was washed three times in 0.6 M KCl. The pellet was treated with 10 mL of zymolyase buffer (0.6 M KCl, 50 mM dithiothreitol, 5 mM EDTA, 2 mg/mL zymolyase [Seikagaku Biobusiness], pH 7.4) and incubated at 37°C and 180 rpm for 1 h. The fungal suspension was spun down at max. 100 g and washed in osmotic medium (1.2 M MgSO4, 1 M Na2HPO4, pH 5.8). The cell-wall-free fungal cells were resuspended in 1 mL fixing agent (4% [wt/vol] formaldehyde and 2.5% [vol/vol] glutaraldehyde in PBS), incubated at room temperature for 2 h, and then kept overnight at 4°C.

For TEM preparation, fixed protoplasts were contrasted with 1% (wt/vol) osmium tetroxide in 100 mM sodium cacodylate buffer (Serva), dehydrated, and infiltrated with araldite resin (Agar Scientific). Ultrathin sections were stained with uranyl acetate and lead citrate, mounted on copper grids, and examined with an EM 900 (Zeiss, Oberkochen, Germany) TEM at 80 kV. Images were acquired using a wide-angle dual-speed 2K CCD camera (Tröndle).

Statistics and reproducibility

Experiments were performed in at least biological triplicates (n = 3) with three independent experiments performed on different days. For experiments using primary macrophages or whole blood, at least six or four different donors were used, respectively. Data were analyzed using GraphPad Prism 10.2.3 (GraphPad Software, La Jolla, CA, USA). Values are presented as mean ± standard deviation (SD) or with individual values for each donor. Statistical tests are indicated in each figure legend. Statistical significance is indicated in the figures as follows: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.

ACKNOWLEDGMENTS

We thank the anonymous blood donors, as well as Sophie Austermeier, for organizing the macrophage isolation and supporting us with the whole blood model. In addition, we would like to thank our lab technicians Maximilian Himmel and Stephanie Wisgott for support with buffy coat isolations. Furthermore, we would like to thank Stephanie Wisgott and Jeronimo Brom Gonzalez for helping with the endless labeling of plates and tubes. Additionally, we would like to thank Verena Trümper for her reporter cell work. We would like to express our deepest thanks to Elisabeth Greßler for her expertise and help in autophagy detection. We would like to thank Jakob L. Sprague and Ger van Zandbergen for fruitful discussions.

T.L., J.S., L.K., S.B., and B.H. received funding from the Priority Program SPP2225 “Exit strategies of intracellular pathogens” of the German Research Foundation (Deutsche Forschungsgemeinschaft [DFG]). J.M. and B.H. received support from the DFG within the Collaborative Research Centre (CRC)/Transregio 124 FungiNet Project C1 (DFG project number 210879364). R.V., B.H., C.C., and C.D. were supported by the ANR/BMBF 2019 Antimicrobial resistance call, project titled “Antifungal 323 Resistance: From Surveillance to Treatment” (AReST). Work in the laboratory of C.D. is supported by the Agence Nationale de la Recherche (ANR-10-LABX-62-IBEID).

T.L. designed most of the study, performed the majority of the experiments, analyzed the data and interpreted the results, prepared the figures, and drafted and reviewed the manuscript. L.F. performed experiments regarding the petite phenotype under the supervision of T.L. J.S. conducted experiments regarding the detection of mitochondrial presence as well as the population heterogeneity and reviewed the manuscript. R.V. performed the RNA sequencing analysis. J.M. constructed the independent mutant under the supervision of T.L. N.J. ran the ELISA assays. E.S. performed the transmission electron microscopy. C.C. constructed and C.D. contributed the C. glabrata kinase mutant library to this project. C.D. reviewed the manuscript. L.K. provided supervision and intellectual support and reviewed the manuscript. S.B. provided intellectual support and conceptualization as well as supervision, provided funding, and reviewed the manuscript. B.H. provided funding and conceptualization and reviewed the manuscript.

Footnotes

This article is a direct contribution from Bernhard Hube, a Fellow of the American Academy of Microbiology, who arranged for and secured reviews by Jane Usher, University of Exeter, and Joshua Nosanchuk, Albert Einstein College of Medicine.

Contributor Information

Bernhard Hube, Email: bernhard.hube@leibniz-hki.de.

Sascha Brunke, Email: sascha.brunke@leibniz-hki.de.

Yong-Sun Bahn, Yonsei University, Seoul, Republic of Korea.

DATA AVAILABILITY

All sequencing data generated in this study have been deposited in the European Nucleotide Archive (ENA) under accession number PRJEB106507.

ETHICS APPROVAL

Human peripheral blood was collected from healthy volunteers after obtaining written informed consent according to the principles expressed in the Declaration of Helsinki. The blood donation protocol and use of blood for this study were approved by the institutional ethics committee of the University Hospital Jena (Approval number 2207-01/08).

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/mbio.03885-25.

Supplemental Figures. mbio.03885-25-s0001.pdf.

Fig. S1 to S7.

mbio.03885-25-s0001.pdf (964.2KB, pdf)
DOI: 10.1128/mbio.03885-25.SuF1
Table S1. mbio.03885-25-s0002.xlsx.

Primers to generate mutants.

mbio.03885-25-s0002.xlsx (14.7KB, xlsx)
DOI: 10.1128/mbio.03885-25.SuF2

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

  • 1. Brown GD, Denning DW, Gow NAR, Levitz SM, Netea MG, White TC. 2012. Hidden killers: human fungal infections. Sci Transl Med 4:165rv13. doi: 10.1126/scitranslmed.3004404 [DOI] [PubMed] [Google Scholar]
  • 2. Bongomin F, Gago S, Oladele RO, Denning DW. 2017. Global and multi-national prevalence of fungal diseases—estimate precision. J Fungi (Basel) 3:57. doi: 10.3390/jof3040057 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Perlroth J, Choi B, Spellberg B. 2007. Nosocomial fungal infections: epidemiology, diagnosis, and treatment. Med Mycol 45:321–346. doi: 10.1080/13693780701218689 [DOI] [PubMed] [Google Scholar]
  • 4. Usher J, Ribeiro GF, Childers DS. 2023. The Candida glabrata parent strain trap: how phenotypic diversity affects metabolic fitness and host interactions. Microbiol Spectr 11:e0372422. doi: 10.1128/spectrum.03724-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Askari F, Kaur R. 2025. Candida glabrata: a tale of stealth and endurance. ACS Infect Dis 11:4–20. doi: 10.1021/acsinfecdis.4c00477 [DOI] [PubMed] [Google Scholar]
  • 6. Pfaller MA, Diekema DJ. 2007. Epidemiology of invasive candidiasis: a persistent public health problem. Clin Microbiol Rev 20:133–163. doi: 10.1128/CMR.00029-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Pfaller MA. 2012. Antifungal drug resistance: mechanisms, epidemiology, and consequences for treatment. Am J Med 125:S3–13. doi: 10.1016/j.amjmed.2011.11.001 [DOI] [PubMed] [Google Scholar]
  • 8. Silva S, Negri M, Henriques M, Oliveira R, Williams DW, Azeredo J. 2012. Candida glabrata, Candida parapsilosis and Candida tropicalis: biology, epidemiology, pathogenicity and antifungal resistance. FEMS Microbiol Rev 36:288–305. doi: 10.1111/j.1574-6976.2011.00278.x [DOI] [PubMed] [Google Scholar]
  • 9. Kasper L, Seider K, Hube B. 2015. Intracellular survival of Candida glabrata in macrophages: immune evasion and persistence. FEMS Yeast Res 15:fov042. doi: 10.1093/femsyr/fov042 [DOI] [PubMed] [Google Scholar]
  • 10. Erwig LP, Gow NAR. 2016. Interactions of fungal pathogens with phagocytes. Nat Rev Microbiol 14:163–176. doi: 10.1038/nrmicro.2015.21 [DOI] [PubMed] [Google Scholar]
  • 11. Austermeier S, Kasper L, Westman J, Gresnigt MS. 2020. I want to break free - macrophage strategies to recognize and kill Candida albicans, and fungal counter-strategies to escape. Curr Opin Microbiol 58:15–23. doi: 10.1016/j.mib.2020.05.007 [DOI] [PubMed] [Google Scholar]
  • 12. Kumar K, Askari F, Sahu MS, Kaur R. 2019. Candida glabrata: a lot more than meets the eye. Microorganisms 7:39. doi: 10.3390/microorganisms7020039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Sonnberger J, Kasper L, Lange T, Brunke S, Hube B. 2024. “We’ve got to get out”-Strategies of human pathogenic fungi to escape from phagocytes. Mol Microbiol 121:341–358. doi: 10.1111/mmi.15149 [DOI] [PubMed] [Google Scholar]
  • 14. Galocha M, Pais P, Cavalheiro M, Pereira D, Viana R, Teixeira MC. 2019. Divergent approaches to virulence in C. albicans and C. glabrata: two sides of the same coin. Int J Mol Sci 20:2345. doi: 10.3390/ijms20092345 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Seider K, Brunke S, Schild L, Jablonowski N, Wilson D, Majer O, Barz D, Haas A, Kuchler K, Schaller M, Hube B. 2011. The facultative intracellular pathogen Candida glabrata subverts macrophage cytokine production and phagolysosome maturation. J Immunol 187:3072–3086. doi: 10.4049/jimmunol.1003730 [DOI] [PubMed] [Google Scholar]
  • 16. McKenzie CGJ, Koser U, Lewis LE, Bain JM, Mora-Montes HM, Barker RN, Gow NAR, Erwig LP. 2010. Contribution of Candida albicans cell wall components to recognition by and escape from murine macrophages. Infect Immun 78:1650–1658. doi: 10.1128/IAI.00001-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Westman J, Walpole GFW, Kasper L, Xue BY, Elshafee O, Hube B, Grinstein S. 2020. Lysosome fusion maintains phagosome integrity during fungal infection. Cell Host Microbe 28:798–812. doi: 10.1016/j.chom.2020.09.004 [DOI] [PubMed] [Google Scholar]
  • 18. Ghosh S, Navarathna DHMLP, Roberts DD, Cooper JT, Atkin AL, Petro TM, Nickerson KW. 2009. Arginine-induced germ tube formation in Candida albicans is essential for escape from murine macrophage line RAW 264.7. Infect Immun 77:1596–1605. doi: 10.1128/IAI.01452-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Wellington M, Koselny K, Sutterwala FS, Krysan DJ. 2014. Candida albicans triggers NLRP3-mediated pyroptosis in macrophages. Eukaryot Cell 13:329–340. doi: 10.1128/EC.00336-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Jacobsen ID, Brunke S, Seider K, Schwarzmüller T, Firon A, d’Enfért C, Kuchler K, Hube B. 2010. Candida glabrata persistence in mice does not depend on host immunosuppression and is unaffected by fungal amino acid auxotrophy. Infect Immun 78:1066–1077. doi: 10.1128/IAI.01244-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Ushach I, Zlotnik A. 2016. Biological role of granulocyte macrophage colony-stimulating factor (GM-CSF) and macrophage colony-stimulating factor (M-CSF) on cells of the myeloid lineage. J Leukoc Biol 100:481–489. doi: 10.1189/jlb.3RU0316-144R [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Lange T, Kasper L, Gresnigt MS, Brunke S, Hube B. 2023. “Under Pressure” - How fungi evade, exploit, and modulate cells of the innate immune system. Semin Immunol 66:101738. doi: 10.1016/j.smim.2023.101738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Duggan S, Essig F, Hünniger K, Mokhtari Z, Bauer L, Lehnert T, Brandes S, Häder A, Jacobsen ID, Martin R, Figge MT, Kurzai O. 2015. Neutrophil activation by Candida glabrata but not Candida albicans promotes fungal uptake by monocytes. Cell Microbiol 17:1259–1276. doi: 10.1111/cmi.12443 [DOI] [PubMed] [Google Scholar]
  • 24. Arastehfar A, Daneshnia F, Cabrera N, Penalva-Lopez S, Sarathy J, Zimmerman M, Shor E, Perlin DS. 2023. Macrophage internalization creates a multidrug-tolerant fungal persister reservoir and facilitates the emergence of drug resistance. Nat Commun 14:1183. doi: 10.1038/s41467-023-36882-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Siscar-Lewin S, Gabaldón T, Aldejohann AM, Kurzai O, Hube B, Brunke S. 2021. Transient mitochondria dysfunction confers fungal cross-resistance against phagocytic killing and fluconazole. mBio 12:e0112821. doi: 10.1128/mBio.01128-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Brunke S, Hube B. 2013. Two unlike cousins: Candida albicans and C. glabrata infection strategies. Cell Microbiol 15:701–708. doi: 10.1111/cmi.12091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Ehrt S, Schnappinger D, Rhee KY. 2018. Metabolic principles of persistence and pathogenicity in Mycobacterium tuberculosis. Nat Rev Microbiol 16:496–507. doi: 10.1038/s41579-018-0013-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Arastehfar A, Daneshnia F, Hovhannisyan H, Fuentes D, Cabrera N, Quinteros C, Ilkit M, Ünal N, Hilmioğlu-Polat S, Jabeen K, Zaka S, Desai JV, Lass-Flörl C, Shor E, Gabaldon T, Perlin DS. 2023. Overlooked Candida glabrata petites are echinocandin tolerant, induce host inflammatory responses, and display poor in vivo fitness. mBio 14:e0118023. doi: 10.1128/mbio.01180-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Lo HJ, Köhler JR, DiDomenico B, Loebenberg D, Cacciapuoti A, Fink GR. 1997. Nonfilamentous C. albicans mutants are avirulent. Cell 90:939–949. doi: 10.1016/s0092-8674(00)80358-x [DOI] [PubMed] [Google Scholar]
  • 30. Scheffold A, Bacher P, LeibundGut-Landmann S. 2020. T cell immunity to commensal fungi. Curr Opin Microbiol 58:116–123. doi: 10.1016/j.mib.2020.09.008 [DOI] [PubMed] [Google Scholar]
  • 31. Ge SX, Son EW, Yao R. 2018. iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinformatics 19:534. doi: 10.1186/s12859-018-2486-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Skrzypek MS, Binkley J, Binkley G, Miyasato SR, Simison M, Sherlock G. 2017. The Candida genome database (CGD): incorporation of assembly 22, systematic identifiers and visualization of high throughput sequencing data. Nucleic Acids Res 45:D592–D596. doi: 10.1093/nar/gkw924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Shimamura S, Miyazaki T, Tashiro M, Takazono T, Saijo T, Yamamoto K, Imamura Y, Izumikawa K, Yanagihara K, Kohno S, Mukae H. 2019. Autophagy-inducing factor Atg1 is required for virulence in the pathogenic fungus Candida glabrata. Front Microbiol 10:27. doi: 10.3389/fmicb.2019.00027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Carapia-Minero N, Castelán-Vega JA, Pérez NO, Rodríguez-Tovar AV. 2017. The phosphorelay signal transduction system in Candida glabrata: an in silico analysis. J Mol Model 24:13. doi: 10.1007/s00894-017-3545-z [DOI] [PubMed] [Google Scholar]
  • 35. Umekawa M, Klionsky DJ. 2012. Ksp1 kinase regulates autophagy via the target of rapamycin complex 1 (TORC1) pathway. J Biol Chem 287:16300–16310. doi: 10.1074/jbc.M112.344952 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Badrane H, Cheng S, Dupont CL, Hao B, Driscoll E, Morder K, Liu G, Newbrough A, Fleres G, Kaul D, Espinoza JL, Clancy CJ, Nguyen MH. 2023. Genotypic diversity and unrecognized antifungal resistance among populations of Candida glabrata from positive blood cultures. Nat Commun 14:5918. doi: 10.1038/s41467-023-41509-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Vowinckel J, Hartl J, Marx H, Kerick M, Runggatscher K, Keller MA, Mülleder M, Day J, Weber M, Rinnerthaler M, Yu JSL, Aulakh SK, Lehmann A, Mattanovich D, Timmermann B, Zhang N, Dunn CD, MacRae JI, Breitenbach M, Ralser M. 2021. The metabolic growth limitations of petite cells lacking the mitochondrial genome. Nat Metab 3:1521–1535. doi: 10.1038/s42255-021-00477-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Czajka KM, Venkataraman K, Brabant-Kirwan D, Santi SA, Verschoor C, Appanna VD, Singh R, Saunders DP, Tharmalingam S. 2023. Molecular mechanisms associated with antifungal resistance in pathogenic Candida species. Cells 12:2655. doi: 10.3390/cells12222655 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Xu Z, Green B, Benoit N, Schatz M, Wheelan S, Cormack B. 2020. De novo genome assembly of Candida glabrata reveals cell wall protein complement and structure of dispersed tandem repeat arrays. Mol Microbiol 113:1209–1224. doi: 10.1111/mmi.14488 [DOI] [PubMed] [Google Scholar]
  • 40. Roetzer A, Gratz N, Kovarik P, Schüller C. 2010. Autophagy supports Candida glabrata survival during phagocytosis. Cell Microbiol 12:199–216. doi: 10.1111/j.1462-5822.2009.01391.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Li J, Yu Q, Zhang B, Xiao C, Ma T, Yi X, Liang C, Li M. 2018. Stress-associated endoplasmic reticulum protein 1 (SERP1) and Atg8 synergistically regulate unfolded protein response (UPR) that is independent on autophagy in Candida albicans. Int J Med Microbiol 308:378–386. doi: 10.1016/j.ijmm.2018.03.004 [DOI] [PubMed] [Google Scholar]
  • 42. Weerasinghe H, Simm C, Djajawi TM, Tedja I, Lo TL, Simpson DS, Shasha D, Mizrahi N, Olivier FAB, Speir M, Lawlor KE, Ben-Ami R, Traven A. 2023. Candida auris uses metabolic strategies to escape and kill macrophages while avoiding robust activation of the NLRP3 inflammasome response. Cell Rep 42:112522. doi: 10.1016/j.celrep.2023.112522 [DOI] [PubMed] [Google Scholar]
  • 43. Brunke S, Seider K, Fischer D, Jacobsen ID, Kasper L, Jablonowski N, Wartenberg A, Bader O, Enache-Angoulvant A, Schaller M, d’Enfert C, Hube B. 2014. One small step for a yeast--microevolution within macrophages renders Candida glabrata hypervirulent due to a single point mutation. PLoS Pathog 10:e1004478. doi: 10.1371/journal.ppat.1004478 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Van Ende M, Timmermans B, Vanreppelen G, Siscar-Lewin S, Fischer D, Wijnants S, Romero CL, Yazdani S, Rogiers O, Demuyser L, Van Zeebroeck G, Cen Y, Kuchler K, Brunke S, Van Dijck P. 2021. The involvement of the Candida glabrata trehalase enzymes in stress resistance and gut colonization. Virulence 12:329–345. doi: 10.1080/21505594.2020.1868825 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Mansour MK, Tam JM, Khan NS, Seward M, Davids PJ, Puranam S, Sokolovska A, Sykes DB, Dagher Z, Becker C, Tanne A, Reedy JL, Stuart LM, Vyas JM. 2013. Dectin-1 activation controls maturation of β-1,3-glucan-containing phagosomes. J Biol Chem 288:16043–16054. doi: 10.1074/jbc.M113.473223 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Dagher Z, Xu S, Negoro PE, Khan NS, Feldman MB, Reedy JL, Tam JM, Sykes DB, Mansour MK. 2018. Fluorescent tracking of yeast division clarifies the essential role of spleen tyrosine kinase in the intracellular control of Candida glabrata in macrophages. Front Immunol 9:1058. doi: 10.3389/fimmu.2018.01058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Scherer AK, Blair BA, Park J, Seman BG, Kelley JB, Wheeler RT. 2020. Redundant Trojan horse and endothelial-circulatory mechanisms for host-mediated spread of Candida albicans yeast. PLoS Pathog 16:e1008414. doi: 10.1371/journal.ppat.1008414 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Pericolini E, Cenci E, Monari C, De Jesus M, Bistoni F, Casadevall A, Vecchiarelli A. 2006. Cryptococcus neoformans capsular polysaccharide component galactoxylomannan induces apoptosis of human T-cells through activation of caspase-8. Cell Microbiol 8:267–275. doi: 10.1111/j.1462-5822.2005.00619.x [DOI] [PubMed] [Google Scholar]
  • 49. Monari C, Paganelli F, Bistoni F, Kozel TR, Vecchiarelli A. 2008. Capsular polysaccharide induction of apoptosis by intrinsic and extrinsic mechanisms. Cell Microbiol 10:2129–2137. doi: 10.1111/j.1462-5822.2008.01196.x [DOI] [PubMed] [Google Scholar]
  • 50. Deepe GS, Buesing WR. 2012. Deciphering the pathways of death of Histoplasma capsulatum-infected macrophages: implications for the immunopathogenesis of early infection. J Immunol 188:334–344. doi: 10.4049/jimmunol.1102175 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Ma H, Croudace JE, Lammas DA, May RC. 2006. Expulsion of live pathogenic yeast by macrophages. Curr Biol 16:2156–2160. doi: 10.1016/j.cub.2006.09.032 [DOI] [PubMed] [Google Scholar]
  • 52. Alvarez M, Casadevall A. 2006. Phagosome extrusion and host-cell survival after Cryptococcus neoformans phagocytosis by macrophages. Curr Biol 16:2161–2165. doi: 10.1016/j.cub.2006.09.061 [DOI] [PubMed] [Google Scholar]
  • 53. Nicola AM, Robertson EJ, Albuquerque P, Derengowski L da S, Casadevall A. 2011. Nonlytic exocytosis of Cryptococcus neoformans from macrophages occurs in vivo and is influenced by phagosomal pH. mBio 2:e00167-11. doi: 10.1128/mBio.00167-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Casadevall A, Coelho C, Alanio A. 2018. Mechanisms of Cryptococcus neoformans-mediated host damage. Front Immunol 9:855. doi: 10.3389/fimmu.2018.00855 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Pountain AW, Collette JR, Farrell WM, Lorenz MC. 2021. Interactions of both pathogenic and nonpathogenic CUG clade Candida species with macrophages share a conserved transcriptional landscape. mBio 12:e0331721. doi: 10.1128/mbio.03317-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. de Groot PWJ, Kraneveld EA, Yin QY, Dekker HL, Gross U, Crielaard W, de Koster CG, Bader O, Klis FM, Weig M. 2008. The cell wall of the human pathogen Candida glabrata: differential incorporation of novel adhesin-like wall proteins. Eukaryot Cell 7:1951–1964. doi: 10.1128/EC.00284-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Katsipoulaki M, Stappers MHT, Malavia-Jones D, Brunke S, Hube B, Gow NAR. 2024. Candida albicans and Candida glabrata: global priority pathogens. Microbiol Mol Biol Rev 88:e0002123. doi: 10.1128/mmbr.00021-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Nonnenmacher Y, Hiller K. 2018. Biochemistry of proinflammatory macrophage activation. Cell Mol Life Sci 75:2093–2109. doi: 10.1007/s00018-018-2784-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Kamada Y, Yoshino K, Kondo C, Kawamata T, Oshiro N, Yonezawa K, Ohsumi Y. 2010. Tor directly controls the Atg1 kinase complex to regulate autophagy. Mol Cell Biol 30:1049–1058. doi: 10.1128/MCB.01344-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Noda T. 2017. Regulation of autophagy through TORC1 and mTORC1. Biomolecules 7:52. doi: 10.3390/biom7030052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Flannagan RS, Cosío G, Grinstein S. 2009. Antimicrobial mechanisms of phagocytes and bacterial evasion strategies. Nat Rev Microbiol 7:355–366. doi: 10.1038/nrmicro2128 [DOI] [PubMed] [Google Scholar]
  • 62. Bernardi G. 1979. The petite mutation in yeast. Trends Biochem Sci 4:197–201. doi: 10.1016/0968-0004(79)90079-3 [DOI] [Google Scholar]
  • 63. Contamine V, Picard M. 2000. Maintenance and integrity of the mitochondrial genome: a plethora of nuclear genes in the budding yeast. Microbiol Mol Biol Rev 64:281–315. doi: 10.1128/MMBR.64.2.281-315.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Youle RJ, Narendra DP. 2011. Mechanisms of mitophagy. Nat Rev Mol Cell Biol 12:9–14. doi: 10.1038/nrm3028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Okamoto K, Kondo-Okamoto N. 2012. Mitochondria and autophagy: critical interplay between the two homeostats. Biochim Biophys Acta 1820:595–600. doi: 10.1016/j.bbagen.2011.08.001 [DOI] [PubMed] [Google Scholar]
  • 66. Cano DA, Pucciarelli MG, Martínez-Moya M, Casadesús J, García-del Portillo F. 2003. Selection of small-colony variants of Salmonella enterica serovar Typhimurium in nonphagocytic eucaryotic cells. Infect Immun 71:3690–3698. doi: 10.1128/IAI.71.7.3690-3698.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Kahl BC, Becker K, Löffler B. 2016. Clinical significance and pathogenesis of staphylococcal small colony variants in persistent infections. Clin Microbiol Rev 29:401–427. doi: 10.1128/CMR.00069-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Proctor RA, von Eiff C, Kahl BC, Becker K, McNamara P, Herrmann M, Peters G. 2006. Small colony variants: a pathogenic form of bacteria that facilitates persistent and recurrent infections. Nat Rev Microbiol 4:295–305. doi: 10.1038/nrmicro1384 [DOI] [PubMed] [Google Scholar]
  • 69. Vulin C, Leimer N, Huemer M, Ackermann M, Zinkernagel AS. 2018. Prolonged bacterial lag time results in small colony variants that represent a sub-population of persisters. Nat Commun 9:4074. doi: 10.1038/s41467-018-06527-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Nagley P, Linnane AW. 1970. Mitochondrial DNA deficient petite mutants of yeast. Biochem Biophys Res Commun 39:989–996. doi: 10.1016/0006-291x(70)90422-5 [DOI] [PubMed] [Google Scholar]
  • 71. Cheng S, Clancy CJ, Nguyen KT, Clapp W, Nguyen MH. 2007. A Candida albicans petite mutant strain with uncoupled oxidative phosphorylation overexpresses MDR1 and has diminished susceptibility to fluconazole and voriconazole. Antimicrob Agents Chemother 51:1855–1858. doi: 10.1128/AAC.00182-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Simm C, Weerasinghe H, Thomas DR, Harrison PF, Newton HJ, Beilharz TH, Traven A. 2022. Disruption of iron homeostasis and mitochondrial metabolism are promising targets to inhibit Candida auris. Microbiol Spectr 10:e0010022. doi: 10.1128/spectrum.00100-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. 2012. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics 13:134. doi: 10.1186/1471-2105-13-134 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Schwarzmüller T, Ma B, Hiller E, Istel F, Tscherner M, Brunke S, Ames L, Firon A, Green B, Cabral V, et al. 2014. Systematic phenotyping of a large-scale Candida glabrata deletion collection reveals novel antifungal tolerance genes. PLoS Pathog 10:e1004211. doi: 10.1371/journal.ppat.1004211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Pierce SE, Davis RW, Nislow C, Giaever G. 2007. Genome-wide analysis of barcoded Saccharomyces cerevisiae gene-deletion mutants in pooled cultures. Nat Protoc 2:2958–2974. doi: 10.1038/nprot.2007.427 [DOI] [PubMed] [Google Scholar]
  • 76. Vyas VK, Barrasa MI, Fink GR. 2015. A Candida albicans CRISPR system permits genetic engineering of essential genes and gene families. Sci Adv 1:e1500248. doi: 10.1126/sciadv.1500248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Kasper L, König A, Koenig P-A, Gresnigt MS, Westman J, Drummond RA, Lionakis MS, Groß O, Ruland J, Naglik JR, Hube B. 2018. The fungal peptide toxin candidalysin activates the NLRP3 inflammasome and causes cytolysis in mononuclear phagocytes. Nat Commun 9:4260. doi: 10.1038/s41467-018-06607-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez J-Y, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682. doi: 10.1038/nmeth.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Sprenger M, Hartung TS, Allert S, Wisgott S, Niemiec MJ, Graf K, Jacobsen ID, Kasper L, Hube B. 2020. Fungal biotin homeostasis is essential for immune evasion after macrophage phagocytosis and virulence. Cell Microbiol 22:e13197. doi: 10.1111/cmi.13197 [DOI] [PubMed] [Google Scholar]
  • 80. Mogavero S, Sauer FM, Brunke S, Allert S, Schulz D, Wisgott S, Jablonowski N, Elshafee O, Krüger T, Kniemeyer O, Brakhage AA, Naglik JR, Dolk E, Hube B. 2021. Candidalysin delivery to the invasion pocket is critical for host epithelial damage induced by Candida albicans. Cell Microbiol 23:e13378. doi: 10.1111/cmi.13378 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Langmead B, Salzberg SL. 2012. Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357–359. doi: 10.1038/nmeth.1923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Liao Y, Smyth GK, Shi W. 2014. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30:923–930. doi: 10.1093/bioinformatics/btt656 [DOI] [PubMed] [Google Scholar]
  • 83. Xu S, Hu E, Cai Y, Xie Z, Luo X, Zhan L, Tang W, Wang Q, Liu B, Wang R, Xie W, Wu T, Xie L, Yu G. 2024. Using clusterProfiler to characterize multiomics data. Nat Protoc 19:3292–3320. doi: 10.1038/s41596-024-01020-z [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplemental Figures. mbio.03885-25-s0001.pdf.

Fig. S1 to S7.

mbio.03885-25-s0001.pdf (964.2KB, pdf)
DOI: 10.1128/mbio.03885-25.SuF1
Table S1. mbio.03885-25-s0002.xlsx.

Primers to generate mutants.

mbio.03885-25-s0002.xlsx (14.7KB, xlsx)
DOI: 10.1128/mbio.03885-25.SuF2

Data Availability Statement

All sequencing data generated in this study have been deposited in the European Nucleotide Archive (ENA) under accession number PRJEB106507.


Articles from mBio are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES