INTRODUCTION
Historically, natural interactions between microbes and other organisms have proven to be the best source of antimicrobial compounds, and even human ingenuity cannot normally compete with billions of years of evolution (
1). Antagonistic interactions between species often drive this evolution toward production of biologically highly active compounds. Recently, we described such an interaction by showing that the mushroom pathogen
Janthinobacterium agaricidamnosum employs a novel cyclic lipopeptide, jagaricin, to cause soft rot disease of
Agaricus bisporus. We further found that jagaricin is also active against common human-pathogenic fungi, such as
Candida albicans and
Aspergillus fumigatus, whereas bacteria are not affected (
2). Identification of novel antifungal compounds—ideally with a novel mode of action—is desperately needed, because fungal diseases kill as many people as, e.g., tuberculosis, and invasive fungal infections are often associated with high mortality rates (
3). The situation is further exacerbated by the emergence of drug-resistant fungal isolates in hospitals, exemplified recently by
Candida auris (
3,
4). Furthermore, fungal pathogens cause severe losses in agriculture (
5–7), while the use of the same compound classes of antifungals in agriculture and medicine might lead to the emergence of resistant strains (
8). This poses a significant challenge to the identification of new scaffolds for agricultural use with distinct structures and mechanisms of action compared to drugs in current clinical use.
Lipopeptides consist of a linear or cyclic peptide moiety covalently linked to a lipid chain, resulting in typically amphiphilic characteristics and, depending on the ratio of hydrophobic to hydrophilic molecule parts, a tendency for self-aggregation and the formation of micelles, vesicles, or nanofibers (
9). In general, biologically active lipopeptides can originate from natural sources, such as jagaricin, but especially membrane-active lipopeptides can also be artificially generated by linkage of a peptide with a lipid chain (
10). Lipopeptides have been described to have (among others) surfactant, antibacterial, antifungal, antiviral and cytotoxic properties (see, for example, references
6,
9, and
10), and often have an effect on the integrity of membranes (e.g., fengycin, surfactin, and iturin; all from
Bacillus spp. [
11]) or by inhibiting cell wall biosynthetic enzymes of fungi (e.g., echinocandins [
12]). Accordingly, some lipopeptides, such as polymyxins, caspofungin, micafungin, and daptomycin, are now in clinical use (
13), and biologically derived lipopeptides continue to be a prolific source of inspiration for drug discovery. Here, we evaluate the lipopeptide jagaricin in regard to its mode of action, primary biological activities, and selectivity, and we suggest potential uses for this antifungal agent. We show that jagaricin most likely exerts its function by the formation of membrane pores, leading to nonreversible breakdown of the membrane potential as well as Ca
2+ influx and consequently to cell death.
DISCUSSION
Cell integrity disturbing lipopeptides generally act either by direct membrane disruption or by targeting cell wall-synthesizing enzymes (reviewed in reference
10). Here, we investigated the mode of action of the recently discovered lipopeptide, jagaricin, on fungal and mammalian cells and found that it disrupts membrane integrity, leading to a permanent depolarization of the plasma membrane. In mammalian and likely fungal cells, this is accompanied by an influx of Ca
2+ and, most likely, other ions. We found that the drop in membrane resistance, as well as the influx of Ca
2+, was rapid and nonreversible in a mammalian cell line. Furthermore, we demonstrated that Ca
2+ influx was not inhibited in the presence of Cd
2+, a potent blocker of Ca
2+ channels, suggesting the formation of pores within the plasma membrane that are large enough to allow unspecific Ca
2+ flow and do not seal spontaneously. This resembles the activity of other membrane-permeabilizing agents, such as fengycins, which also lead to the formation of large pores (
26,
27). In contrast, e.g., amphotericin B creates smaller, defined pores allowing ions and smaller metabolites to pass, in particular K
+ (
28,
29), and the antibacterial lipopeptide daptomycin forms K
+-selective pores (
30; for a review, see reference
31). Importantly, we observed a strong effect on fungal and human cell membranes but no evident toxicity toward bacteria (
2) and only specific and limited toxicity toward plants (
Fig. 8). Based on the data presented here, which mechanisms could therefore best explain the membrane disruption effect of jagaricin as well as its specificity?
The social amoeba, fungal, and mammalian cell death (including hemolysis) seems to be mediated by membrane disruption. Our transcriptional and electrophysiological data demonstrate this for fungi and a human cell line, and the influx of Ca2+ directly observed in human cells was reflected by the calcineurin-related transcriptional events in fungal cells. We therefore propose that the mechanisms are conceptually similar for fungal and mammalian cells.
Similar to other lipopeptides, jagaricin starts to form micelles at its critical micellar concentration (CMC) value of 176 μg/ml (Fig. S3), 2 to 3 orders of magnitude higher than the concentrations required for biological activity. We therefore conclude that the “micellar mechanism,” the solubilization of part of the host membrane into mixed micelles (as defined in reference
25), is unlikely to play a major role for jagaricin action. Based on the structure of jagaricin, we assume that rather the lipid tail is anchored into the membrane, while the peptide part is at least partially exposed to the outside. In this regard, it is interesting to note that all polar side chains of the jagaricin molecule (
Fig. 9) that are able to participate in hydrogen bond interactions (hydroxyl group of the fatty acid,
d-allo-Thr-4,
l-allo-Thr-9, and
l-His-10) cluster around the hydrophobic ring-closing ester moiety (
l-Thr-3 and its neighbor Dhb-2), separating the hydrophobic tail from a second hydrophobic cluster (
d-Tyr-5, Dhb-6,
d-Gln-7, and Gly-8). This may result in a three-dimensional structure with the hydrophilic parts located within the phospholipid head layer and the hydrophobic peptide cluster and lipid chain located in the lipophilic part of the membrane. Notably, the lipid chain of the jagaricin molecule is rather short; such a conformation would therefore exert a strong bending stress toward the local membrane environment but might also trigger self-aggregation of jagaricin molecules. In general, aggregate formation within fungal membranes has been suggested as crucial for the antifungal action of the
Bacillus lipopeptide classes of fengycins and iturins (
26,
27,
32–35). This phenomenon is explained by the combined effect of aggregates of, e.g., inverted-cone shaped lipopeptides on the local membrane bending, while monomers are typically insufficient to significantly alter local membrane structures. Fengycin aggregate formation was found to be triggered by immiscibility of the lipopeptide with the target membrane (
27,
35,
36). This also explains the missing activity of fengycin against bacteria, since fengycin can readily interact with their large amounts of phosphatidylethanolamine, thus mixing with membrane components and inhibiting formation of biologically active aggregates (
35). In fungal membranes, phosphatidylcholine and fengycin do not interact, and aggregate formation takes place. Thus, contrary to intuition, the presence of an avid binding partner in a membrane can actually diminish the effect of an intercalating agent. In the case of jagaricin, we can speculate whether aggregate formation in membranes is relevant to its biological activity and which possible role sterols may play in the biological activity of jagaricin.
Interestingly, organisms containing cholesterol (mammals) and ergosterol (fungi and social amoebae) were targeted, while bacteria (containing no sterols) and plants, whose membranes typically contain a diverse mixture of sterols (mainly phytosterols, with cholesterol typically accounting only for 1 to 2% of total sterols [
37]), remained largely unaffected. When we investigated the ergosterol metabolism in yeasts, we observed both positive and negative effects on jagaricin susceptibility: strains defective at different steps of ergosterol biosynthesis (
Caerg5Δ,
Cgerg5Δ, and a clinical
C. albicans isolate with deficiency at Erg6) showed no altered susceptibility toward jagaricin, while clinical isolates deficient for Erg3 showed reduced jagaricin tolerance. These strains are known to accumulate episterol, ergosta-7-enol, and ergosta-7,22-dienol instead of ergosterol under typical culture conditions (
38,
39). Such compounds could potentially serve as a jagaricin interaction partner as well or better than ergosterol to explain this phenotype. Importantly, these compounds do not have the same detrimental effect as 14α-methylergosta-8,24(28)-dien-3β,6α-diol to the organism (
40), which accumulates in membranes of azole-treated yeasts and increases their fluidity (
40). Since we observed a rescue of yeast growth when clotrimazole was added together with otherwise toxic jagaricin levels, it seems possible that such a more fluid membrane decreases the activity of jagaricin, for example via reduced aggregation or faster closing of lesions formed by jagaricin. Indeed, it is known that higher plasma membrane sterol levels (and concomitant decreased fluidity) prolong the lifetime of opened pore states for iturins (
32,
33). We similarly observed that the
UPC2 gain-of-function strain, with its increased ergosterol plasma membrane levels (
14–16), was hypersusceptible to jagaricin.
Furthermore, transcription of the regulator of ergosterol biosynthesis in C. albicans, UPC2, itself was upregulated upon short-term exposure to jagaricin, possibly indicating membrane stress. However, it was downregulated, together with some ergosterol biosynthesis genes (ERG1, ERG3, and ERG11), under longer-term growth permissive jagaricin treatment. This would lower the ergosterol levels and thus jagaricin susceptibility. Whether or not this happened as a direct response to the action of jagaricin will be interesting to study in the future, for example, to determine whether this mechanism could be inhibited to enhance the antifungal action of jagaricin. In summary, we conclude that composition and levels of membrane sterols can influence jagaricin susceptibility, and a reduction of ergosterol biosynthesis rates might enable yeasts to grow in the presence of otherwise toxic jagaricin levels—interestingly the opposite of a classical azole resistance mechanism.
So far, we have discussed the direct interaction of jagaricin with the plasma membrane. But what are the consequences of this interaction for susceptible target cells? Lesions caused by jagaricin are likely large, since they allow the transit of large hydrated ions like Ca
2+, and nonselective, since the influx of Ca
2+ was not inhibited by Cd
2+ in a mammalian cell line. As a result, these ion fluxes will lead to the breakdown of the plasma membrane potential. This would lead to increased osmosensitivity, and in fact deletion of essentially any of the MAP kinases of the high osmolarity glycerol pathway resulted in a decreased jagaricin resistance. This is similar to iturins which have been shown to provoke osmotic stress in the fungal phytopathogen
Verticillium dahliae, and fungal resistance toward iturins depends on Hog1 activation (
41). In conclusion, we hypothesize that the breakdown of plasma membrane potential, together with the intracellular accumulation of Ca
2+, aided by osmotic stress and possibly ROS generation, will in sum lead to fungal cell death.
Our data using growth permissive jagaricin concentrations revealed important hints regarding the molecular events triggered by jagaricin in fungi: during exposure, we found transcriptional indications of a shutdown of mitochondria function, which could hint toward a disruption of mitochondrial membrane potential by sublethal jagaricin levels, similar to the surfactants SDS and CTAB (
23) or feasibly apoptotic processes under disrupted Ca
2+ homeostasis (
42). Are mitochondria thus a relevant target for jagaricin toxicity? Loss of mitochondrial membrane potential will disrupt ATP generation, and we would expect a pronounced reduction of energy-consuming cellular processes such as transcription, translation, amino acid biosynthesis, and fatty acid synthesis. Except for the transcriptional downregulation of fatty acid biosynthesis in the short-term transcriptomic response, we did not observe such reductions neither in the transcriptional short-term nor in the growth response. We therefore propose that the observed transcriptional shutdown of plasma membrane transport processes, as well as the downregulation of the gene for the main electrogenic proton pump, Pma1 (
43), in
C. albicans is caused by the loss of the plasma membrane chemiosmotic potential and Ca
2+ influx rather than by ATP level reduction. In support of this view, Ca
2+-dependent calcineurin signaling is known to control Pma1 activity in
S. cerevisiae (
44,
45). Furthermore, a subinhibitory jagaricin concentration elicited limited cell death in a subpopulation of
C. albicans cells as shown by PI staining, although the majority continued to grow (
Fig. 1A).
Interestingly, during our screening we found two deletion mutants with increased resistance toward jagaricin, both lacking genes for inositol polyphosphate phosphatases (
cginp53Δ and
cainp51Δ [but not
cginp51Δ]). Both enzymes dephosphorylate inositol phosphates, including PIP
2, which is located in the inner membrane leaflet and known to play a pivotal role in actin cytoskeleton organization, endocytosis, and integrity of the cell envelope as a membrane anchor for proteins (
46,
47). This complements the observed hypersusceptibility of
Cgslm1Δ, a
C. glabrata mutant lacking the homolog of the
S. cerevisiae PIP
2-binding protein Slm1. The latter is known to regulate actin cytoskeleton organization in response to stress (
48). In summary, this membrane-bound regulator of endocytosis and actin polymerization is proposed to play an important role in withstanding jagaricin, again linking membrane composition to jagaricin susceptibility.
Permanently elevated intracellular Ca
2+ levels, breakdown of plasma membrane potential and membrane pores all together disrupt the cell’s highly ordered state. Elevated cytosolic Ca
2+ levels alter the localization of cationic proteins away from the cytoplasm-facing membrane leaflet (
49), and Ca
2+ influx through membrane lesions also triggers the onset of local membrane repair processes (
50). Therefore, the transcriptional upregulation of phospholipid translocases could counteract jagaricin action in two ways: first, directly via promotion of (e.g., endosome-driven) membrane repair processes (
51,
52) and, second, by potentially increasing negatively charged phospholipids in the cytoplasmic leaflet of the plasma membrane to restore protein organization. This could provide an additional explanation for the resistance phenotype of the inositol polyphosphate phosphatases, since an elevated level of highly phosphorylated inositol phosphates would have the same effect. Interestingly, of the three most strongly upregulated jagaricin phospholipid translocases, Rta2 and Rta4 are targets of calcineurin regulation and upregulated under extracellular Ca
2+ stress (
53,
54), and Rta3 has been shown to regulate membrane asymmetry in
C. albicans (
55). Therefore, membrane asymmetry regulation in response to elevated cytosolic Ca
2+ levels might (partially) restore cell homeostasis under the severe stress induced by jagaricin.
Overall, these proposed mechanisms render jagaricin an interesting candidate for a fungicide directly targeting the membrane. However, its lytic effect on erythrocytes seems to prohibit its use in mammals in its unmodified form. Potentially, chemical modification could be used to increase its specificity. One possible aim of further optimization should be increased self-aggregation within ergosterol-containing membranes over cholesterol-containing membranes, if aggregates in fact represent the active forms of jagaricin. Jagaricin derivatives with decreased overall toxicity could potentially be combined with non-azole ergosterol biosynthesis inhibitors which increase sterol by-products to enhance its efficacy, similar to what we observed for the Erg3-deficient C. albicans strains with jagaricin.
As an interesting feature, we observed broad activity against phytopathogenic fungi, but no or very specific and limited detrimental effects on their host plants: all tested phytopathogens were susceptible in a comparable concentration range, while plant root growth was either unaffected (
L. sativum) or only affected under one experimental condition (
S. alba). Despite modern crop management, phytopathogenic fungi still cause devastating yield losses (
5–7,
56), and agricultural use of substance classes also in use for human disease treatment is controversial (
8,
57). As biotechnological production of jagaricin appears feasible, further optimization of fermentation conditions of
Janthinobacterium agaricidamnosum and future process development will enable the production of ample amounts for agricultural uses.
Interestingly,
Bacillus species producing various amounts of surfactins, iturins, and fengycins are used as biocontrol species in agriculture instead of the purified compounds (
58), which have been reported to stimulate the plant defense against pathogens in addition to their direct antimicrobial action (
58).
Janthinobacteria are commonly found in soil (
59,
60) raising the question whether jagaricin-related compounds that have coevolved in symbiotic bacterium-plant interactions exist. Therefore,
Janthinobacteria might merit further investigations to elucidate their potential as biocontrol species.
In summary, we showed that jagaricin is an example for a virulence factor developed by a pathogenic bacterium against its mushroom host that exerts its function by disrupting cell membranes. We found a certain degree of species specificity and suggest that this is at least partly based on membrane composition. Interestingly, the target and the mode of action of jagaricin are superficially similar to toxins of other mushroom-infecting bacteria such as tolaasin from
Pseudomonas tolaasii (
61,
62) and WLIP from
Pseudomonas reactans (
61). This kind of interorganism interaction could thus be an interesting source to identify new antifungals for human medicine. Jagaricin and its future derivatives are therefore candidates with great potential as antifungal agents.
MATERIALS AND METHODS
Yeast growth conditions.
Yeasts were routinely streaked on YPD (1% yeast extract, 2% peptone, 2% glucose; pH 7) agar and incubated 1 to 2 days at 30°C. Yeast cultures were stored at 4°C for up to 1 month. Yeast cultures were routinely grown overnight in YPD (1% yeast extract, 1% peptone, 2% glucose; pH ≈ 6) at 30°C with shaking (180 rpm).
Yeast strains.
For the PI assay, the transcriptome analysis and the combinatorial drug tests, the C. albicans reference strain SC5314 was used. For C. albicans and C. glabrata strains used in the mutant test screening, see Table S1B in the supplemental material.
Chemicals and media.
A total of 500 ml of 2× SD (pH 6) (+ CSM) (+ uridine) liquid medium, 6.7 g of YNB without amino acids (Difco, catalog no. 291940, 100 g), and optionally 0.395 g of complete supplement mixture (CSM, Formedium, catalog no. DCS0019) were dissolved in 400 ml of double-distilled water, adjusted to pH 6 with NaOH, and autoclaved. Then, 100 ml of autoclaved 20% (wt/vol) glucose solution was added. When required, 5 ml of water was replaced by an autoclaved uridine (5 mg/ml; Carl Roth, catalog no. 0714.3) solution added after autoclaving to reach 50 μg/ml.
Jagaricin powder was dissolved at a concentration of 1 mg/ml in 10% ethanol by sonication, aliquoted, and stored at –80°C until usage. Aliquots were thawed immediately before use. Amphotericin B (Sigma, catalog no. A4888, 100 mg) powder was dissolved in dimethyl sulfoxide (DMSO) to give a stock solution of 10 mg/ml, aliquoted, and stored at 4°C in the dark for a maximum of 6 months. Aliquots were thawed immediately before use. Caspofungin diacetate (Sigma, catalog no. 32343, 10 mg) was dissolved in sterile phosphate-buffered saline (PBS) to give a final concentration of 20 mg/ml, aliquoted, and stored at –20°C. Aliquots were thawed immediately before use. Clotrimazole powder (Bayer) was dissolved at 1 mg/ml in 10% ethanol to yield a cloudy stock solution, which cleared upon further dilutions. Aliquots were stored at –80°C and thawed immediately before use.
Jagaricin production and purification.
A cryostock of Janthinobacterium agaricidamnosum DSM 9628 (∼0.5 ml) was used to inoculate 50 ml of sterile nutrient broth (1 g/liter beef extract, 2 g/liter yeast extract, 5 g/liter peptone, 5 g/liter NaCl), and the culture was grown at 25°C for 20 h at 150 rpm. Five Erlenmeyer flasks containing 200 ml of a suitable sterile growth medium (5 g/liter glycerol, 10 g/liter glucose, 10 g/liter yeast extract, 5 g/liter sodium glutamate, 3 g/liter CaCO3; after sterilization, 2 ml/liter trace element solution, containing 4 g/liter CaCl2⋅2H2O, 1 g/liter iron(III) citrate⋅H2O, 0.2 g/liter MnSO4, 0.1 g/liter ZnCl2, 0.03 g/liter CoCl2⋅6H2O, 0.04 g/liter CuSO4⋅5H2O, 0.03 g/liter Na2MoO4⋅2H2O, and 0.06 g/liter Na2B4O7⋅10H2O was added, and the pH was adjusted to 6.8 using NaOH) were inoculated with 1 ml of the preculture. The cultures were grown at 25°C for 20 h at 150 rpm. Fermentation was performed at a 30-liter scale using the same medium and 0.167 g/liter antifoaming agent SAG471. The fermenter was inoculated with 800 ml of the preculture. The pH was regulated in a range of 6.2 to 7.8, and the temperature was set to 23°C. The culture was aerated with a sterile airflow of 5 to 10 liters/min and a stirrer speed of 200 to 500 rpm to reach a saturation of >20% O2. The fermentation was stopped after 51 h. Then, 15 liters of the fermentation broth was twice extracted with ethyl acetate (27 and 15 liters), and the collected extracts were concentrated to dryness. The residue was taken up in methanol (20 ml), and ice-cold ethyl acetate (40 ml) was added. The mixture was sonicated and stirred until a homogeneous slurry was obtained. The solid was removed by filtration and washed with small portions of ice-cold ethyl acetate and dried under reduced pressure. A portion of the solid (50 mg) was treated with methanol (∼1 ml), centrifuged to remove undissolved material, and the supernatant was subjected to preparative high-pressure liquid chromatography (Macherey & Nagel Nucleodur C18 column [5 μm, 40 by 250 mm]; gradient, 25 to 75% acetonitrile with 0.1% trifluoroacetic acid; flow, 30 ml/min) to obtain pure jagaricin (28 mg).
Candida mutant susceptibility testing.
Yeast overnight cultures were harvested by centrifugation for 1 min at 5,000 × g, washed twice with distilled water, and resuspended in 1 volume of distilled water. Yeast cells were then diluted 1:100 in 2× SD plus CSM medium and adjusted to 5 × 105 yeast cells/ml. All dilutions were stored on ice to prevent further yeast growth. Jagaricin stock solutions were diluted to 6 or 4 μg/ml in 1% ethanol. For the assay, 100 μl of yeast cells was mixed with 100 μl of jagaricin or control solution in a 96-well plate (TPP, catalog no. 92696), resulting in 5 × 104 cells per well in 1× SD plus CSM plus 0.5% ethanol (pH 6). Each strain was tested at 3, 2, and 0 μg/ml jagaricin in technical duplicates for each of three biological replicates. For growth curve measurements, the plate was covered with sealing foil (Excel Scientific, STR-SEAL-PLT), transferred to a microplate reader (Tecan Infinite M200; i-control software), and incubated for 3 days at 30°C, with absorbance measurements at 600 nm (A600) every 30 min after 10 s of orbital shaking.
Occasional, late-onset residual growth occurred even at the usually toxic dose of 3 μg/ml jagaricin. If all or the majority of strains showed unexpected fast growth at 3 μg/ml jagaricin, the assays were excluded from further analysis, and new biological replicates were performed with a fresh jagaricin aliquot (in a total of two cases). Stable growth of a mutant at 3 μg/ml jagaricin was defined as detectable growth in at least two of three biological replicates and a maximum change in A of ΔA = max (A – Abackground) of ≥0.15 (the mean of three biological replicates). We used the growth curve data to calculate the relative Amax as follows: relative Amax (%) = (ΔA [mutant]/ΔA [wild type]) × 100. The relative half-maximal time (t1/2) was defined as the –log2 value of the ratio of the wild type and mutant t1/2 values.
Transcriptome analysis.
For RNA isolation C. albicans SC5314 was grown in YPD overnight, 1 ml of this culture harvested by centrifugation (10,000 × g, 1 min), washed twice with distilled water, and used to inoculate a second YPD culture at OD600 of 0.1 in 5 to 10 ml of YPD, which was grown at 30°C and 180 rpm until reaching an OD600 of 1 to 4. Cells were pelleted (10,000 × g, 1 min), washed twice with distilled water, and adjusted to either 107 ml−1 or 5 × 105 ml−1 in 2× SD (pH 6) for short-term exposure to and growth in jagaricin, respectively.
For short-term exposure, yeasts were mixed 1:1 with jagaricin or control solution to reach 5 × 106 yeast cells/ml in SD (pH 6) plus 0.05% ethanol with (1 μg/ml) or without jagaricin in 5 ml and then incubated at 30°C and 180 rpm. Yeast cells were harvested for RNA isolation after 30 min, and continued yeast viability was ascertained by CFU plating. Higher concentrations of jagaricin (5 μg/ml) consistently led to cell death (data not shown).
For the transcriptome response of C. albicans cells growing in the presence of jagaricin, yeasts were mixed with jagaricin, respectively, control solution to reach 2.5 × 105 yeast cells/ml in SD (pH 6) plus 0.05% ethanol with (0.5 μg/ml) or without jagaricin in 15 ml, followed by incubation at 30°C and 180 rpm. We found that 0.5 μg/ml jagaricin in this assay increased the lag time by several hours but did not influence the final growth rate. Samples were taken at the early growth phase at an OD600 of 0.5. Three biological replicates were performed for each condition.
RNA was then isolated using an RNeasy minikit (Qiagen) and Cy5-labeled cRNA (Cy5 CTP; GE Healthcare) generated using a QuickAmp labeling kit (Agilent). Samples were cohybridized with a common Cy3-labeled reference (RNA from mid-log-phase-grown
C. albicans SC5314 [
63]) on Agilent arrays (AMADID 026869), scanned in a GenePix 4200AL with GenePix Pro 6.1 (Auto PMT; pixel size, 5 μm), and analyzed with GeneSpring 14.8 (Agilent), GSEA v2.2.0 (Broad Institute) (
64,
65), and Revigo (
66).
Hemolysis assay.
Blood for hemolysis assays was taken from healthy volunteers with written informed consent according to the principles expressed in the Declaration of Helsinki. The blood donation protocol and use of blood were approved by the institutional ethics committee of the University Hospital Jena (permission number 2207-01/08). Blood was collected using EDTA-containing S-Monovette tubes (Sarstedt). Portions (1 ml) were centrifuged for 5 min and 1,000 ×
g at room temperature, washed with 500 μl of Dulbecco PBS (DPBS; Gibco), and resuspended in 300 μl of DPBS. The erythrocyte cell count was determined using an Auto BC-5300 Vet hematology analyzer and adjusted to 5 × 10
8 ml
−1 in DPBS. The hemolysis assay was performed with 20 μl of erythrocyte solution in a total volume of 150 μl with variable jagaricin concentrations and 0.5% (vol/vol) ethanol. For the high control [HC], 130 μl of double-distilled water was used; for the low control [LC], 118 μl of DPBS, 4.5 μl of water, and 7.5 μl of 10% (vol/vol) ethanol were added (the same as for the jagaricin diluent). The mixtures were incubated 1 h at 30°C and centrifuged 3 min and 1,000 ×
g at room temperature, and the supernatant was immediately transferred to a 96-well plate for absorbance determination at 541 nm in a Tecan Infinite M200 microplate reader (using i-control software). Individual hemolysis rates were calculated as follows: the % lysis of HC = [(
Asample –
ALC)/(
AHC –
ALC)] × 100 in two technical replicates. The normalized lysis values were plotted against the inverse logarithmic concentration of the compound to determine the IC
50 value using Prism (v7; GraphPad). The assay was repeated three times to obtain the weighted mean and error of the log
10 IC
50, as described previously (
67).
C. albicans PI assay.
Yeast overnight cultures of
C. albicans SC5314 were harvested for 1 min at 5,000 ×
g, washed twice with distilled water, resuspended in either 2× SD or 2× PBS (pH 7.4) at 5 × 10
5 ml
−1, and kept on ice until the start of the assay. Portions (100 μl/well) were then pipetted into a 96-well plate (TPP) with 1 μl of propidium iodide (PI) solution (1 mg/ml), and the cells were allowed to settle for 15 min. Then, 100 μl of jagaricin solution was added to a final concentration of 0 to 8 μg/ml jagaricin (containing 0.1% [vol/vol] ethanol). Immediately after jagaricin addition, the plate was imaged hourly with a CellDiscoverer 7 microscope and ZEN 2.3 software (Zeiss) at 30°C for 20 h; three biological replicates were performed. The images were analyzed by automatic detection in ImageJ (
68–70), with yeasts and PI-positive signals defined as signal intensities of greater than or equal to the means plus 3× standard deviation in the contrast enhanced bright-field or fluorescence channel, respectively. A fraction of yeasts lost the PI signal over time. The fraction size and decay time of PI signal were thus separately determined with 150 yeasts in 3, 4, and 8 μg/ml jagaricin and used to correct the loss of PI signal of the respective jagaricin concentrations during longer measurements.
Cooperative drug tests.
Overnight cultures of C. albicans SC5314 were harvested for 1 min at 5000 g, washed twice and resuspended in distilled water, and adjusted to 5 × 105 ml−1 and kept on ice until start of the assay. Jagaricin and other drugs (clotrimazole, caspofungin or amphotericin B) were diluted from stocks with double-distilled water to appropriate concentrations. Assays were performed as follows: 100 μl of yeasts were mixed with 50 μl each of jagaricin and combinatorial drug in a microplate well (TPP, Ref. no. 92696) to a final 2.5 × 104 cells per well in 1× SD (pH 6) plus 0.05% (vol/vol) ethanol (amphotericin B, caspofungin) or 0.15% (vol/vol) ethanol (clotrimazole), and 0.05% (vol/vol) DMSO (amphotericin B). The plate was covered with a gas-permeable sealing foil (4titude; product code 4ti-0516/96) and absorbance at 600 nm determined every 30 min in a Tecan infinite M200 microplate reader (software: i-control) set to 30°C for a total duration of 48 h. Three biological replicates were performed for each combination scenario. For ∑FICI calculations, MIC95 was used for jagaricin, AMB and CAS, while MIC75 was applied for CLT.
Growth inhibition assay D. discoideum.
A total of 3,000
D. discoideum cells (AX2) were cultured at 22°C as triplicates in 96-well plates (Sarstedt) in 200 μl of HL5 medium containing 1% DMSO (Carl Roth) and a 2-fold serial dilution of jagaricin from 1 μg/ml down to 0.1 ng/ml; the positive growth control lacked jagaricin. After 72 h, the cell concentration was determined at a size range of 7.6 to 17.6 μm with a CASYCell Counter and an Analyser system (model TT [Roche Innovatis AG]; equipped with a 60-μm capillary). The viable cell concentration was plotted against the logarithmic concentration of the compound to determine the IC
50 value using Prism. The assay was repeated three times to obtain the weighted mean and error of the log
10 IC
50, as described previously (
67).
[Ca2+]i and patch-clamp measurements.
HEK293T cells were obtained from the German Collection of Microorganisms and Cell Cultures (DSMZ, Braunschweig, Germany) and maintained in DMEM/F-12 (Dulbecco modified Eagle medium: nutrient mixture F-12; Life Technologies, Darmstadt, Germany) supplemented with 10% fetal calf serum (Biochrom, Berlin, Germany) at 37°C in a 95% air–5% CO
2 atmosphere and saturated humidity. Measurements of intracellular free Ca
2+ levels ([Ca
2+]
i) were performed as described previously (
71) with slight modifications: HEK293T cells were loaded with 1 μM Fura-2-AM (Life Technologies) in complete culture medium for about 20 min at 37°C. The cells were washed, and recording was performed in a HEPES-buffered solution containing 150 mM NaCl, 2 mM KCl, 1.5 mM CaCl
2, 1 mM MgCl
2, and 10 mM HEPES (pH 7.4) at room temperature. In control experiments, the specific Ca
2+ transport was blocked by the addition of 0.1 mM CdCl
2 to the recording buffer. Fluorescence was measured using a microscopy-based system after alternating the illumination at 340 or 380 nm with a sample rate of 0.1 Hz. The data were analyzed using TILLvisION software (TILL Photonics, Gräfelfing, Germany). The 340-nm/380-nm ratio of the background-corrected fluorescence signal was calculated on a single-cell level and plotted as a function of time for 60 to 100 cells per experiment in at least five independent experiments for each condition.
Currents were recorded from HEK293T cells in the whole-cell configuration of the patch-clamp method using an EPC-10 amplifier (HEKA Elektronik, Lambrecht, Germany), operated with PatchMaster software (HEKA; for further details, see reference
72). Cells were clamped to −40 mV, while jagaricin was applied by complete bath exchange. Solutions were as follows (in mM): internal (pipette), 140 KCl, 10 EGTA, and 10 HEPES (pH 7.4 with KOH); and external (bath), 146 NaCl, 4 KCl, 2 CaCl
2, 2 MgCl
2, and 10 HEPES (pH 7.4 with NaOH).
Black lipid membranes.
Planar lipid bilayers of asolectin from soybean (Sigma, catalog no. 11145-50G), dissolved in
d-decane (10 mg of lipid per ml of solvent), were formed on a 1-mm-diameter Teflon septum with both bath chambers containing 100 mM KCl and 10 mM Tris-HCl (pH 8.0). The membrane current was measured with a Turbo TEC-10CD amplifier (NPI Electronic GmbH, Tamm, Germany), combined with repetitive stimulation with voltage ramps from –50 to 50 mV (see reference
73). Jagaricin was applied on both sides of the membrane up to a final concentration of 4 μg/ml; amphotericin B (2 μg/ml) and gramicidin A (1 nM) served as positive controls.
Plant susceptibility testing.
Jagaricin phytotoxicity was investigated at 5 μg/ml using Phytotestkit (MicroBioTests, Inc.) with two plants according to the manufacturer’s instructions: Lepidium sativum and Sinapis alba were incubated at 25°C in the presence or absence of light for 72 h in three or two biological replicates, respectively, and evaluated for inhibition of seed germination and root length.
Susceptibility test of phytopathogenic fungi.
Antifungal activity was determined in broth dilution according to CLSI reference method M38-A2, with slight modifications, for the major agricultural phytopathogens Alternaria alternata, Penicillium digitatum, Penicillium italicum, Geotrichum candidum, Colletrothricum gloeosporioides, Fusarium graminearum, and Botrytis cinerea. The tests were performed in 96-well plates in duplicate, with 195 μl of RPMI 1640 medium per well supplemented from a jagaricin stock solution (1.28 mg/ml dissolved in 5% DMSO) to reach a final concentration range of 20 to 0.08 μg/ml. Then, 5 μl of each fungal species was added to reach 5 × 104 CFU/ml, followed by incubation for 48 h at 30°C. As a positive control, ketoconazole (50 μg/ml) was used, and 5% DMSO in RPMI 1640 medium served as the negative control.
Critical micellar concentration (CMC) determination.
Measurements were performed as described previously (
74). Fluorescence measurements were performed on a Jasco FP6200 instrument using 10-mm fused silica cuvettes. Excitation was carried out at 331.5 nm, and emission spectra were recorded at 340 to 450 nm. I
1/I
3 ratios were calculated from the intensities at 374 nm (
1) and 386 nm (
3). The matrix solution was prepared from ultrapure water (Thermo GenPure system) containing approximately 2 μM pyrene. Pyrene (≈0.4 mg) was taken up in 20% ethanol using an ultrasonic bath (80°C) and diluted with water to give a final ethanol content of 0.5%. To this solution, defined volumes of a suitable stock solution of jagaricin (1, 10, or 100 mg/ml in methanol) were added to give final volumes of 4 ml and total methanol contents of <2%, preferably <0.5%. Individual samples for each data point were prepared, gently mixed, and incubated for at least 30 min at room temperature prior to fluorescence measurement.
Statistical analysis.
Experiments were performed in biological replicates from independent samples (
n ≥ 3) unless stated otherwise (see “Plant susceptibility testing”). All experiments were performed unblinded. Data points in graphs represent either (weighted) arithmetic or geometric means (see individual graphs) ± the standard deviations. Data were analyzed using GraphPad Prism 7 (GraphPad Software, Inc., La Jolla), ImageJ (
68–70), Excel 2010, GeneSpring GX (v14.8; Agilent Technologies, Inc., Santa Clara, CA), GSEA v2.2.0 (Broad Institute) (
64,
65), and Revigo (
66). Where applicable, samples were tested for significance (
P < 0.05) using a two-sided
t test, and GO-term enrichment was determined by using the Fisher exact test.
Data availability.
All relevant data are available by request from the authors, with the restriction of data that would compromise the confidentiality of blood donors. The microarray data are available in the ArrayExpress database at EMBL-EBI (
www.ebi.ac.uk/arrayexpress) under accession number
E-MTAB-7718.
ACKNOWLEDGMENTS
We thank Vito Valiante and Jakob Weber for sharing unpublished results and helpful discussions, Dominique Sanglard and Oliver Bader for kindly providing some strains for the mutant analysis, Karin Martin for performing and optimizing the jagaricin preparation, Nadja Jablonowski, Daniela Schulz, and Dorothee Eckhardt for technical help with the Candida mutant tests, and Ankido Gustin for technical help with the C. albicans killing assay.
D.F., B.H., and S.B. have been supported by the Cluster of Excellence “Balance of the Microverse” of the Friedrich Schiller University Jena and by the Leibniz Science Campus “InfectoOptics” and Collaborative Research Centre/Transregio 124–“FungiNet” (project C1) of the Deutsche Forschungsgemeinschaft. S.H.H. has been supported by the German Federal Ministry of Research and Education (Competence Cluster for Nutrition and Cardiovascular Health—nutriCARD, grant 01EA1411A). R.B. was a member of the Jena School for Microbial Communication. F.K. has been supported by InfectControl 2020 (FKZ 03ZZ0803A). The work of C.H., K.S., K.D., and T.P.F. has been supported by the SFB 1127 ChemBioSys. T.P.F. has been supported by a Capes-Humboldt research fellowship. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
D.F. performed experiments (C. albicans killing, Candida mutant screen, C. albicans transcriptome analysis, hemolysis assay, and the cooperative drug test), analyzed the data, wrote the manuscript, and prepared the figures. G.G. and K.T. performed patch clamp assays and measurements of intracellular free Ca2+ levels, analyzed the data, and edited the manuscript. T.P.F. performed susceptibility tests of phytopathogenic fungi and plant susceptibility testing, analyzed the data, and edited the manuscript. R.B. and P.S. performed the D. discoideum susceptibility test, analyzed the data, and edited the manuscript. F.K. and K.S. isolated and provided jagaricin. F.K. performed the CMC determination, analyzed the data, and edited the manuscript. K.D., B.H., and C.H. discussed and interpreted the data and edited the manuscript. S.H.H. discussed the data, edited the manuscript, designed parts of the study (patch clamp assays and intracellular calcium measurements), and prepared the corresponding figures. K.S. and S.B. conceived and designed the study, K.S. edited the manuscript, and S.B. cowrote the manuscript.
We declare no competing interests.