Contacting domains segregate a lipid transporter from a solute transporter in the malarial host–parasite interface

Abstract

The malaria parasite interfaces with its host erythrocyte (RBC) using a unique organelle, the parasitophorous vacuole (PV). The mechanism(s) are obscure by which its limiting membrane, the parasitophorous vacuolar membrane (PVM), collaborates with the parasite plasma membrane (PPM) to support the transport of proteins, lipids, nutrients, and metabolites between the cytoplasm of the parasite and the cytoplasm of the RBC. Here, we demonstrate that the PV has structure characterized by micrometer-sized regions of especially close apposition between the PVM and the PPM. To determine if these contact sites are involved in any sort of transport, we localize the PVM nutrient-permeable and protein export channel EXP2, as well as the PPM lipid transporter PfNCR1. We find that EXP2 is excluded from, but PfNCR1 is included within these regions of close apposition. We conclude that the host-parasite interface is structured to segregate those transporters of hydrophilic and hydrophobic substrates.

Introduction

Morbidity and mortality in malaria are due to the apicomplexan Plasmodium spp. replicating within the host RBC. During its initial invasion of the erythrocyte, the parasite invaginates the RBC plasma membrane to form the PV as a second barrier1,2. The parasite must install its own, unique transport systems in order to import and export everything it needs for its survival and proliferation3,4,5. Understanding the underlying transport mechanisms between the parasite and its host is useful to identify drug targets. Yet, these crucial transport systems remain incompletely understood for both hydrophilic and hydrophobic substances.

A PVM channel, permeable to water-soluble nutrients like monosaccharides and amino acids3, is formed by the “exported protein 2” or EXP26. EXP2 also facilitates protein export, by serving as the protein-permeant pore for the “Plasmodium translocon of exported proteins” (PTEX)7. A number of PPM channels, including several that are specific for particular nutrients have been identified and studied8,9. However, it is not known how lipidic substances are transported across the PV, since the two limiting membranes have never been seen to connect or to transport membrane vesicles between each other4. The PPM resident protein “Plasmodium Niemann-Pick C1-related protein” (PfNCR1) is essential for lipid homeostasis10 but it is unknown how it functions. It is not clear how the PV is organized, in order to support the transport of such a large variety of substrates.

Here we show that the structure of the PV is built such that it can support direct exchange of lipids across the PV space, directly between the PPM and PVM, in regions that can be defined as membrane contact sites (MCS)11. While MCS between intracellular organelles are abundant11, and cell-cell junctions are classically defined12, very little is known about the contacts between membranes that delimit extracellular junctions within cells, such as those of chloroplasts and intracellular parasites. The structural and molecular data presented here assigns a functional significance to a macroscopic membrane domain.

Results

Regions of close PVM-PPM apposition exist

Ultra-thin sections of chemically fixed, resin-embedded parasitized red cells were examined in the electron microscope (EM) to determine the separation distance between PVM and PPM. Since transport across the PV is most active in the trophozoite stage, i.e. the stage when parasites have begun to accumulate hemozoin and grow the fastest but have not begun to divide13, only this stage was considered. An example image is shown in (Fig. 1a). The distribution of separations between PVM and PPM was found to be bimodal, indicating two distinct structural regions: regions of “close membrane apposition”, separated by ~9 nm, and regions of ‘PV lumen’ with a wider mean separation of 20–40 nm. To control for possible artifacts introduced by chemical fixation, infected red cells were also prepared by a quick-freeze, freeze-fracture method that preserved cells in their most lifelike state. Still, these two distinct types of regions could be clearly discerned (Fig. 1b). In conclusion, both regions are narrow enough that they could be bridged by protein complexes that could interconnect the PVM and PPM membranes, and thus are candidates for membrane contact sites11.

Fig. 1: The PV exhibits two structurally distinct regions.
figure1

a (left) Thin section electron micrograph of a Plasmodium falciparum (NF54attb) infected red blood cell. The inset highlights the PVM and PPM. (right) Histogram of the PVM-PPM distance collected from single sections of seven parasites in six images in regions where both membranes are cut at a right angle. The histogram y-axis is scaled to reflect length of the sampled PV: 29.4 µm PV were sampled in total. The distribution can be fit to a two-component mixture model (see methods) with mean 1 = 8.7 nm [8.3 nm, 9.1 nm] (mean [95% CI]) and mean 2 = 26.9 nm [26.6 nm, 27.3 nm]. b Freeze fracture of NF54attb. A region of PV lumen is visible in the left of the image and a region of close membrane apposition is visible in the right side. a, b Scale bars: 100 nm. White arrows heads to the PVM, black arrow heads to the PPM. Source data are provided as a Source Data file.

EXP2 localizes in domains of the PVM

A functionally characterized marker of the PVM, EXP26, was used to investigate the domain structure of the PVM. To test domain formation in fixed but label-free, unmodified parasites (NF54), an immunofluorescence assay using EXP2 antibodies was performed. EXP2 was found in patches, interrupted by stretches of PVM devoid of anti-EXP2 label (Fig. 2a). To test if these regions of EXP2 were domains in living parasites and to control for chemical fixation artefacts, a parasite line bearing a C-terminal mNeonGreen (mNG) fusion to the endogenous copy of EXP2 (EXP2-mNG) was examined14. In these parasites, the mNG signal also was found in continuous patches, interrupted by stretches of PVM devoid of mNG (Fig. 2b). To quantify and visualize these apparent domains of EXP2, we developed a simple tool: a projection of the maximum fluorescence intensity from the inside of the parasite onto a sphere. This results in a map of the fluorescence signal of the periphery of the parasite (Fig. 2c–e). Both techniques show a protein domain coverage on the order of 50% around the parasite (Supplementary Fig. 1).

Fig. 2: EXP2 is distributed in domains on the PVM.
figure2

a Single confocal slices of an indirect immunofluorescence assay of NF54 showing EXP2 (green), DAPI (blue) and bright field (gray). b Single confocal slices of a live cell image of EXP2-mNeonGreen. EXP2-mNeonGreen (green), bright field (gray). (A&B) Scale bar: 1 µm. c Principle of the spherical intensity projection and mapping for the 2-dimensional analysis of the 3-dimensional dataset (see methods for details). d, e Mollweide projection of the images in a, b, respectively.

Two physically independent techniques to visualize EXP2 spatial organization indicate its domain structure. Thus, EXP2-mNG can serve as a robust and readily detected marker for such PVM domains, labeling regions of protein export and transport of small water-soluble molecules.

EXP2 co-localizes with PV lumen

The EM-findings of two regions with distinct PVM-PPM separation-distances and the light microscopy findings of domains for protein export and nutrient import represented by EXP2 led us to hypothesize that these features could be correlated.

To determine the distribution of the EXP2-domains relative to PV domains with distinct lumenal space, their localization was carefully mapped. Thus, a fluorescent label for the PV lumen was required that could be compared with the distribution of EXP2-mNG. To this end, mRuby3 was targeted to the PV lumen using the signal peptide of HSP101 (PV-mRuby3)15,16. To verify that PV-mRuby3 would serve as a genuine label of the PV lumen, correlative light/electron microscopy after cryo-thin sectioning was performed17. PV-mRuby3 was indeed found to localize to the regions of wider separation between PVM and PPM, confirming that it would serve a label for the accessible PV space (Fig. 3a, Supplementary Fig. 2).

Fig. 3: Colocalization of vacuolar space with EXP2.
figure3

a Detail of correlative light electron microscopy of EXP2-mNeonGreen—PV-mRuby3 parasites showing the presence of PV-mRuby3 in the PV lumen and absence in the apposed membrane region (arrowhead) (see Fig. SI 2 for the full image, more details and mNeonGreen channel). (magenta, left) mRuby3 signal in the Tokuyasu cryo-section. (middle) Overlay of confocal and electron microscopy image. (right) Higher resolution electron microscopy image of the region. Scale bar: 100 nm. b Center confocal slice and Mollweide projections of EXP2-mNeonGreen—PV-mRuby3 parasites. EXP2-mNeonGreen (green, top), PV-mRuby3 (magenta, middle), merge (bottom). Samples chosen represent examples of relatively low (0.76), average (0.80) and high (0.89) Pearson correlation coefficients of the maps. White arrowheads show tubulovesicular network51 that has a relatively higher density of EXP2. Scale bars: 1 µm. The dotted line labels the equator, corresponds to the confocal slice. c Histogram of Pearson correlation coefficients of trophozoite stage EXP2-mNeonGreen—PV-mRuby3 parasites (N = 38 cells). Regions that extend from the parasite to form the tubulovesicular network were excluded for the correlation analysis. Source data are provided as a Source data file.

Co-expression and two-color imaging of EXP2-mNG and PV-mRuby3 demonstrated a clear-cut colocalization of both labels around the periphery of the parasite (Fig. 3b). The mean Pearson-correlation coefficient for the analyzed sample is 0.78 [0.75, 0.80] (mean [95% CI], N = 38 cells) (Fig. 3c) as a mathematical measure for the degree of signal overlap, with numbers from −1 (perfectly anti-correlated), 0 (not correlated) to 1 (perfectly correlated).

Thus, EXP2 distribution can be correlated with regions of the wide, mRuby3 accessible lumen. EXP2 is bound to the PVM, while PV-mRuby3 is detected in the PV-lumen in between the PVM and PPM, on average 20–40 nm from the PVM. Within the limits of optical microscopy, they colocalize. Therefore, protein export, nutrient import, and presumably aqueous waste export occur in the regions of the PV lumen.

PfNCR1 anti-localizes with EXP2 and the PV lumen

Sites of close membrane contact are implicated in direct transfer of lipids via intervening or included proteins that localize to those domains11. In the PPM PfNCR1 has been found to be essential for the maintenance of lipid homeostasis10. However, its human homolog, Niemann-Pick C1 (hNPC1) relies on a co-factor hNPC2, to transport lipids18; no such co-factor has been identified in Plasmodium spp., suggesting that PfNCR1 may work differently. Thus, localizing PfNCR1 with respect to the separation-distances of the membranes of the PV is indicative in order to determine if PfNCR1 can be expected to transport lipids by interacting with a soluble cofactor from the PV lumen, or whether it interacts directly with the PVM at sites of close membrane apposition.

To determine the distribution of PfNCR1 relative to the domains defined by EXP2 and the PV lumen, an endogenous EXP2-mRuby3 fusion was engineered into a parasite expressing an endogenous PfNCR1-GFP fusion protein, allowing both proteins to be monitored by live fluorescence while preserving their native timing and expression levels. Two-color imaging showed that localization of the two labels is anti-correlated around the periphery of the parasite (Fig. 4a). The mean Pearson-correlation coefficient of this sample is −0.18 [−0.08, −0.28] (mean [95% CI], N = 39 cells), giving a mathematical measure for the anti-correlation of both signals (Fig. 4b). Positive values of the coefficient are caused by small domains, approaching the resolution limit of light microscopy (~130 nm in x–y direction and ~400 nm in z) with signals co-localizing at the border of domains. In contrast, larger domains having fewer domain borders have more negative coefficients (see the sequence in Fig. 4a left to right). Anti-correlation was also observed in parasites where the PV-mRuby3 lumenal reporter was expressed in the PfNCR1-GFP background (Supplementary Fig. 3). For direct localization of PfNCR1 relative to PVM-PPM distance, the immuno-gold labeled PfNCR1-GFP dataset from Istvan et al.10 was reanalyzed. In this dataset PfNCR1 is enriched 40.0×[14.6×, 61.4×] (mean [95% CI], N = 1118 54 nm long membrane segments) in the closely apposed regions compared to the PV regions with wider PVM-PPM distance (Supplementary Fig. 4).

Fig. 4: Anti-colocalization of EXP2 and PfNCR1.
figure4

a Center confocal slice and Mollweide projections of PfNCR1-GFP—EXP2-mRuby3 parasites. EXP2-mRuby3 (top, magenta), PfNCR1-GFP (middle, green), merge (bottom). Samples chosen represent examples of relatively low (0.48), average (−0.09) and high (−0.55) anti-correlation according to the Pearson correlation coefficients of the maps. The dotted line labels the equator, corresponds to the confocal slice. Scale bar: 1 µm. b Pearson correlation coefficients of EXP2-mNeonGreen—PV-mRuby3 parasites (N = 38 cells, see Fig. 3) in comparison to PfNCR1-GFP—EXP2-mRuby3 (N = 39 cells). Regions that extend from the parasite to form the tubulovesicular network were excluded for the correlation analysis. Bars: mean ± 95% CI. Both distributions are significantly different: P = 1.2 × 10−29 (t-test, two tailed). c Localization of EXP2 correlates with the existence of a relatively large PV lumen. The PV lumen can store proteins for export and accessory proteins to facilitate protein export. The lipid transporter PfNCR1 localizes to regions of close PPM-PVM apposition. Functionally, PfNCR1 may be able to directly contact the PVM to exchange lipids and sites of membrane apposition may be sites for the general exchange of lipophilic material, a functional hallmark of membrane contact sites. Source data are provided as a Source data file.

One function of proteins at MCS can be maintenance of membrane distance11. To determine if PfNCR1 is involved in the maintenance of membrane distance, PVM-PPM distance was recorded in PfNCR1 knock-down parasites. Compared to the control, the knock-down shows large overlap of both means and confidence intervals describing membrane distance. While there was more region with larger membrane distance in the knock-down sample, this observation was found to be not significant (Supplementary Fig. 5).

From the observed anti-localization of the lumenal vs. hydrophobic transporter labels and the localization of PfNCR1 in electron micrographs, PfNCR1 is most likely localized to regions of close membrane apposition. The lack of effect of PfNCR1 knock-down on the PV structure shows that PfNCR1 seems not to be playing a major role in the regulation of membrane distance.

Discussion

In studying how the malaria parasite modifies its protective membrane barriers to import and export materials that it needs to survive and grow, we found that the host cell–parasite interface (HPI) is a unique intercellular junction with clearly definable regions of protein composition and variable separation, consisting of a parasite vacuolar membrane, the lumen of the vacuole (that is the parasite’s extracellular space), and the plasma membrane of the parasite. Different classes of molecules, hydrophobic and hydrophilic, are transported through this one continuous, spheroidal interface with distinct regions. This segregation of function is accomplished by the creation of MCS like those between cellular organelles19,20. Electron microscopy resolved the PVM and the PPM, allowing quantification of their separation-distances, and confirming the visual impression that the PVM and the PPM form distinct domains, characterized by a bimodal distribution of space between the two membranes. Using two complimentary techniques, indirect immunofluorescence and live-cell microscopy of fluorescently tagged EXP2, this solute-transporter was detected in µm-sized domains that correlate spatially with domains where the PVM and the PPM are separated enough from each other for the vacuole to accumulate a visible amount of the lumenal marker PV-mRuby3. In contrast, we found that the parasite lipid transporter PfNCR1 was specifically excluded from these regions and instead accumulated in the intervening regions of close PVM-PPM apposition. Taking all this data into account, we propose that the PV has evolved to become laterally segregated into regions for hydrophilic transport, and separate closer-contact regions for hydrophobic transport. It will be necessary to functionally characterize and localize other proteins at the HPI to further bolster this hypothesis.

The distances between the PPM and PVM for both domains could be bridged by proteins, potentially qualifying both regions as MCS11. However, in neither domain of the HPI were bridging proteins observed in our deep-etch EMs, nor were they observed in our thin-section EMs. However, when the PV is induced to swell experimentally, e.g., when PVM protein export is conditionally impaired, leading to protein accumulation6,21,22, it expands inhomogenously into irregular protuberances, suggesting that some sort of adhesion normally exists between the PPM and the PVM that prevents it from swelling uniformly. Still to be determined is whether these adhesions concentrate in the tightly apposed regions or the more open regions. EXP2-mNG is included in the distended regions of the PVM when protein export is impaired (Supplementary Fig. 6), indicating that the EXP2-containing domains form the less strongly connected region. Recently, EXP1, a PVM protein that colocalizes with EXP223,24, has been shown as important for peripheral EXP2 localization around the parasite and function of EXP2 as a nutrient-permeable channel16,24. It remains to be seen how EXP1 is affecting EXP2 localization and function.

In contrast, and in keeping with the detrimental effect of water on lipid transport, sites of close PVM-PPM apposition seem to be devoid of PV lumen altogether. This is an extremely close apposition, at the lower end of the membrane distances found at organelle-organelle MSC, i.e. 10–80 nm11. PfNCR1, a lipid transporter, localizes to these sites of unusually close membrane apposition. While it can be inferred that lipid transport is taking place at these sites, it is unclear how PfNCR1 goes about exchanging its substrate, likely cholesterol or another lipid, with the PVM. It has been demonstrated that the large extra-membranous domain of PfNCR1 is localized in between PPM and PVM. The closely apposed membranes are within the protein’s hypothesized radius10, so it may well hand over lipids directly25, or exchange lipids with the help of a membrane-bound cofactor. Our data suggests that PfNCR1 is not necessary for the creation of the contact sites and thus has no defining role in the PV structure. Curiously, the domain structure of the PVM, exemplified by the EXP2 distribution shown here, is quite dynamic and variable (cf., Supplementary Movie 1, demonstrating remarkable flexibility in the PV), suggesting active mechanisms of protein localization driven by active processes, e.g. cytoskeletal rearrangements coupled to the PVM by contact sites, or on-going exocytosis and solute export modifying the PV lumen. Additionally, proteins may target to their respective regions by various other mechanisms, such as interacting with structural proteins, sensing of membrane distance, as found with other contact sites11, or protein exclusion, as found at gap junctions12. On longer time scales, over the parasite life cycle inside an RBC, domain arrangement and size changes (Supplementary Movie 2). While we focused on the trophozoite stage parasite, it will be insightful to learn more about the early and late PVM-PPM coordination.

The structure-function relationship described here (Fig. 4c) can potentially guide the study of other functions at the HPI, such as the inhomogeneously distributed PVM proteins noted previously26,27. A mechanism for the transport of PVM resident proteins from the PPM to the PVM is still lacking as PTEX is not involved in this process28. The regions of close apposition are a promising place to look for machinery that would allow transfer of such proteins.

The size of these domains are similar to those created in lipid phase demixing seen in model membranes29. However, cellular membranes are complex mixtures that for the most part fail to demix at physiological temperatures and remain almost entirely liquid-disordered30. Moreover, cholesterol-rich domains are not detected by surface imaging using mass spectroscopy31. However, molecular dynamic simulations have revealed nanoscopic microdomains of hexagonally packed saturated lipids32 that may correspond to the nonideal demixing revealed by FRET33. Recently a fungal vacuole was reported to exhibit temperature-dependent lipid phase demixing34 but no function has yet been ascribed to these domains. The specific role of lipid asymmetry and composition, and its role in domain formation and maintenance, in the face of lipid transport, remain to be investigated for any MCS or membrane domain. The HPI offers a larger platform for these studies that may benefit both cell biological and medical investigations.

Methods

Cell culture

Plasmodium falciparum was cultured in T25 Nunclon Delta closed cap culture flasks (Thermo Fisher, Waltham, MA) in RPMI 1640 supplemented with 25 mM HEPES, 0.1 mM hypoxanthine, 25 μg/ml gentamicin (all Thermo Fisher), 0.5% Albumax II (Gibco, Gaithersberg, MD), and 4.5 mg/ml glucose (MilliporeSigma, St. Louis, MO) at 37 °C in a 5% CO2, 5% O2 atmosphere at 5% hematocrit below 5% parasitemia. Red blood cells were obtained from anonymized healthy donors in a protocol approved by the National Institutes of Health Institutional Review Board.

NF54 obtained through BEI Resources (MRA-1000), NIAID, NIH as part of the Human Microbiome Project. The parasite lines EXP2-mNeonGreen14, EXP2-mNeonGreen—PV-mRuby315, NF54attb35 (originally obtained from the authors of ref. 35) were described previously.

Molecular biology

For generation of an endogenous EXP2-mRuby3 fusion, the blasticidin-S deaminase (BSD) cassette between SalI and BglII in the plasmid pGDB36 was isolated by digestion and gel purification and inserted between the same restriction sites in the plasmid pyPM2GT-EXP2-mNeonGreen14 with a T4 Quick Ligation kit (NEB), replacing the yDHODH cassette. A synonymous mutation in the EagI site within the BSD coding sequence was then introduced to inactivate this site using a QuikChange Lightning Multi Site Directed Mutagenesis kit (Agilent, Santa Clara, CA) and the primer BSDinact (Supplementary Table 1). The mRuby3 coding sequence was then PCR amplified from plasmid pLN-HSP101-SP-mRuby315 with primers E2mRubyF and E2mRubyR (Supplementary Table 1) and inserted between AvrII and EagI using an In-Fusion cloning kit (clontech), replacing the mNeonGreen coding sequence and resulting in the plasmid pbPM2GT-EXP2-mRuby3. This plasmid was linearized at AflII and co-transfected with the pAIO-EXP2-CT-gRNA14 into a parasite line bearing a C-terminal GFP fusion to the endogenous pfncr1 gene10 and selection with 2.5 µg/ml blasticidin-S was applied 24 h after transfection. For expression of PV-targeted mRuby3, the plasmid pLN-HSP101-SP-mRuby3 was co-transfected with pINT37 into the PfNCR1-GFP background and selection with 2.5 µg/ml blasticidin-S was applied 24 h after transfection.

To generate an endogenous EXP2-mNeonGreen fusion in the HSP101DDD background, the plasmid pyPM2GT-EXP2-mNeonGreen was co-transfected with pAIO-EXP2-CT-gRNA into NF54attB: HSP101DDD6. Selection was applied with 2 µM DSM1 24 h post transfection and parasites were cloned by limiting dilution when they returned from selection.

To generate a parasite line with endogenous EXP2-mNeonGreen and PTEX150-mRuby3 fusions, the mRuby3 coding sequence was PCR amplified from plasmid pLN-HSP101-SP-mRuby315 with primers P150mRubyF and P150mRubyR (Supplementary Table 1) and inserted between AvrII and EagI in plasmid pPM2GT-HSP101-3xFlag6. Homology flanks targeting the 3′ end of PTEX150 were then PCR amplified from plasmid pyPM2GT-PTEX150-3xHA-GFP116 with primers P150FLF and P150FLR (Supplementary Table 1) and inserted between XhoI and AvrII, resulting in the plasmid pPM2GT-PTEX150-mRuby3. This plasmid was linearized at AflII and co-transfected with pAIO-PTEX150-CT-gRNA6 into the parasite line EXP2-mNeonGreen14. Selection was applied with 10 nM WR99210 24 h post transfection and clonal lines were isolated by limiting dilution, resulting in the line NF54attB::EXP2-mNeonGreen+PTEX150-mRuby3.

All primers are listed in Supplementary Table 1.

Immunofluorescence assay

Immunofluorescence assays (IFAs) were performed as described previously6. Briefly, cells taken directly from the culture and left to settle for 10 min on Concanavalin A (Vector Laboratories, Burlingame, CA) coated cover slides in culture medium at 37 °C. Excess cells were taken off with three gentle washes using 37 °C cell culture medium. Cells were fixed for 15 min at 37 °C in freshly prepared 4% paraformaldehyde, 0.0075% glutaraldehyde (both from electron microscopy sciences), in phosphate buffered saline (PBS) (Gibco). After three washes in PBS cells were permeabilized in freshly prepared PBS containing 0.2% Triton X-100 (MilliporeSigma). The sample was then blocked in PBS + 3% Bovine Serum Albumin (BSA) (MilliporeSigma). Cells were incubated in primary Monoclonal antibody 7.7 (anti-EXP-2), obtained from The European Malaria Reagent Repository (http://www.malariaresearch.eu, 1:500) for 1 hr at room temperature. The sample was washed five times in PBS. The secondary antibody (Donkey-anti-mouse conjugated with Alexa Fluor 488, A21202 from Invitrogen, lot 1113537, 1:150) was applied for 20 min, then washed off 5 times with PBS. The sample was mounted in ProLong AntiFade Gold with DAPI (Invitrogen).

Light microscopy

Images were obtained on a Zeiss 880 with Airyscan module using a 63×1.4NA Zeiss Plan-Apochromat, 37 °C immersion oil (Zeiss, Oberkochen, DE). Images were collected using Zen black (Zeiss) in the Airyscan mode, following the programs recommendation for the optimal pixel size and slice thickness, pixel dwell times were kept at 1–2 µs. Live parasites were transferred into a hybridization chamber (HybriWell HBW20, Grace Bio-Labs, Bend, OR) for observation on the microscope15. The stage was heated to physiological temperature using a stage incubator (Tokai Hit INU, Fujinomiya-shi, Japan) (set temperatures: top 37 °C, stage 36 °C, objective 39 °C) to reach 35–36 °C at the coverslip. Trophozoites, i.e. non-segmented cells with hemozoin, were chosen from a bright field image. For colocalization imaging following parameters were chosen: Imaging on EXP2-mNeonGreen—PV-mRuby lines was done using a “band pass 495–550 nm + long pass 570 nm” emission filter, switching excitation at each line between 488 nm at 0.1% and 561 nm at 1% power. For experiments with GFP as fluorescent tag the line switch strategy, while minimizing movement artefacts, lead to blead through from the mRuby3 to the GFP channel as the mRuby3 signal was very abundant and mRuby3 can be minimally excited with 488 nm making it visible alongside the relatively weak GFP signal in the GFP channel. This required switching filters after completing z-stacks in each individual channel. Parameters chosen to image PfNCR1-GFP—EXP2-mRuby3 are for the GFP channel excitation: 488 nm at 2% power, emission: “band pass 420–488 nm + band pass 495–550 nm”, and the mRuby3 channel excitation: 561 nm 0.2%, emission: bandpass “495–550 nm+ long pass 570 nm”. The images were processed in Zen black using Airyscan processing in automatic settings.

The whole cycle time lapse movie (Supplementary Movie 2) was made on a Zeiss LSM 800 using a 63 × 1.4NA Zeiss Plan-Apochromat equipped with a heating box to maintain 37 °C. Parasites were cultured in a gased (5% CO2, 5% O2) T25 tissue culture flask in which a window was cut and a cover slide was glued on using silicone, similar to the procedure outlined in ref. 38. Light exposure was kept minimal to avoid accumulation of phototoxicity.

Map projection and correlation analysis

PVM, PV lumen and PPM are not resolvable from each other with a light microscope but appear as a single surface. To avoid thresholding for the correlation analysis of the light microscopy data, the 3-dimensional dataset was reduced to two dimensions projecting the maximum fluorescence intensity from the calculated center of the parasite onto a sphere in 1° intervals in all directions. This information can then be used to draw an angular map of the signal. A Mollweide projection was chosen as it represents an equal-area projection when assuming a spherical parasite. Maps obtained this way are similar to how the night sky can be represented in a map39. The Pearson correlation coefficient was then calculated on the maps. The maps also provide an informative visual impression of the 3D dataset in print.

Analysis was done using custom scripts in MATLAB 2018b (MathWorks, Natick MA). Briefly, the center of the cell was determined from the center of mass of a mask created from pixels in between the 1st and the 2nd level of a 2-level threshold using the “multithresh” function. The voxel was scaled according to the voxel sizes given by the microscope and the z-dimension was corrected for the refractive index mismatch between the immersion (Zeiss immersol 518 F, n = 1.518) and the sample40. The sample index was entered as n = 1.383 as referenced in ref. 41. Each voxel was then assigned an altitude and azimuth with respect to this center using the “acos” and “atan2” functions respectively. The altitude and azimuth were then used to create a mask with a 1° resolution (equivalent to 17.5 nm at a distance of 1 µm from the center). The maximum of masked intensity was then recorded as angular intensity value for the altitude and azimuth. Finally, the angular intensity values were mapped using a Mollweide projection onto a 1024 × 2048 pixel sized image. For each pixel with coordinates xi and yi corresponding angles were calculated:

$${\mathrm{ps}} = 1024;\\ {\mathrm{R}} = {\mathrm{ps}}/\left( {2 \ast {\mathrm{sqrt}}\left( 2 \right)} \right);$$
$${\mathrm{y}} = \left( \left( {\mathrm{yi}} - \left( {{\mathrm{ps}}/2} \right) \right)/\left( {{\mathrm{ps}}/2} \right) \right) \ast \left( {\mathrm{R}} \ast {\mathrm{sqrt}}\left( 2 \right) \right);\\ {\mathrm{th}} = {\mathrm{asin}}\left( {\mathrm{y}}/\left( {{\mathrm{R}} \ast {\mathrm{sqrt}}\left( 2 \right)} \right) \right);\\ {\mathrm{Latitude}}\left( {yi,:} \right) = {\mathrm{real}}\left( {{\mathrm{asin}}\left( {\left( {2 \ast {\mathrm{th}} + {\mathrm{sin}}\left( {2 \ast {\mathrm{th}}} \right)} \right)/{\mathrm{pi}}} \right) \ast 180/{\mathrm{pi}}} \right);$$

and

$${\mathrm{x}} = \, \left( {\left( {{\mathrm{xi}} - {\mathrm{ps}}} \right)/{\mathrm{ps}}} \right) \ast \left( {2 \ast {\mathrm{R}} \ast {\mathrm{sqrt}}\left( 2 \right)} \right);\\ {\mathrm{Longitude}}\left( {{\mathrm{yi}},{\mathrm{xi}}} \right) = \, {\mathrm{real}}\left( {\left( {{\mathrm{pi}} \ast {\mathrm{x}}} \right)/\left( {{\mathrm{2}} \ast {\mathrm{R}} \ast {\mathrm{sqrt}}\left( {\mathrm{2}} \right) \ast {\mathrm{cos}}\left( {{\mathrm{th}}} \right)} \right) \ast {\mathrm{180}}/{\mathrm{pi}}} \right){\mathrm{;}}$$

Area coverage of the signal was determined by segmenting the individual maps with the ‘multithresh’ function for 2 levels, counting everything above the first threshold as signal.

Correlation coefficients (r) were correlated using the Pearson correlation coefficient from the intensities of channel 1 (XL) and channel 2 (YL):

$${\mathrm{N}} = {\mathrm{length}}\left( {{\mathrm{XL}}} \right){\mathrm{;}}\\ {\mathrm{mX}} = {\mathrm{mean}}\left( {{\mathrm{XL}}} \right){\mathrm{;}}\\ {\mathrm{mY}} = {\mathrm{mean}}\left( {{\mathrm{YL}}} \right){\mathrm{;}}\\ {\mathrm{r}} = \,( {\mathrm{sum}}( {{\mathrm{XL}}{\mathrm{.}} \ast {\mathrm{YL}}}) - {\mathrm{N}} \ast {\mathrm{mX}} \ast {\mathrm{mY}}){\mathrm{/}}\left({\mathrm{sqrt}}( {\mathrm{sum}}( {\mathrm{XL}}{\mathrm{.}} \ast {\mathrm{XL}} ) - {\mathrm{N}} \ast {\mathrm{mX}} \ast {\mathrm{mX}}) \right.\\ \,\,\,\,\,\,\, \left.\ast {\mathrm{sqrt}}( {\mathrm{sum}}( {\mathrm{YL}}{\mathrm{.}} \ast {\mathrm{YL}} ) - {\mathrm{N}} \ast {\mathrm{mY}} \ast {\mathrm{mY}} )\right);$$

Regions showing the tubulovesicular network, identified as PVM extending out from the parasite into the RBC cytosol, have enriched EXP2 signal compared to the peripheral PV and were manually masked out when calculating the correlation coefficient.

The 95% confidence interval of the correlation coefficient and statistical significance was calculated in Prism (Graphpad, San Diego, CA) after a Fisher transform of the data, the resulting confidence interval was then back transformed.

Electron microscopy on thin sections

For the determination of the PVM-PPM distance in Fig. 1, erythrocyte cultures infected with NF54attb parasites were enriched for late stages using a LD column in a QuadroMACs magnetic separator (Miltenyi Biotech, Cologne, DE), then fixed with 2% glutaraldehyde in 100 mM NaCl, 30 mM Hepes buffer pH 7.2, and 2 mM CaCl2. During a 1–2 day long aldehyde fixation, the cultures settled into soft pellets, after which they were post-fixed for 30 min as pellets in 0.25% OsO4 plus 0.25% potassium ferrocyanide dissolved in 0.1 M cacodylate buffer containing 2 mM CaCl2. Thereafter, they were washed in 0.1 M cacodylate buffer+2 mM CaCl2, and poststained by sequential 30 min treatments with 0.5% tannic acid in 0.1 M cacodylate buffer + 2 mM CaCl2 followed by 0.5% uranyl acetate in 50 mM acetate buffer pH 5.2. Immediately thereafter, they were dehydrated with increasing concentrations of ethanol, and embedded in epoxy resin by standard techniques: exchange through propylene oxide, then increasing concentrations of the epoxy, and final vacuum-embedding and polymerization at 70 °C. Thereafter, semi-thin sections were made vertically through the pellets at 0.5 µm and stained with toluidine blue, to determine optimal areas for further examination. These were then sectioned at 80 nm, stained for 5 min with 50 mM lead citrate dissolved in 0.1 M citrate buffer pH 5.2, and examined at 80 KV in a JEOL 1400 electron microscope equipped with a 4Kx6K digital camera (Advanced Microscopy Techniques Corp, Woburn). In digital versions of the final electron micrographs, PPM and PVM were segmented by hand, using ImageJ42, drawing a line where each membrane was clearly visible. Sections where the membranes were cut obliquely were not considered. The minimal distance of the two membrane traces was determined using a MATLAB script.

From the resulting bimodal histogram, the means and relative contribution of the two PV regions were determined by a fit to a two-component mixture model. The frequency data was plotted as a cumulative distribution function after log transformation to avoid fitting negative (unphysical) membrane distances. The log normal cumulative distribution function was fit, using the following model, with Matlab (2019b, The MathWorks, Inc.):

$${\mathrm{f}}\left( {\mathrm{x}} \right) = {\mathrm{a}} \ast {\mathrm{normcdf}}\left( {{\mathrm{x}},{\mathrm{mu1}},{\mathrm{sigma1}}} \right) + \left( {{\mathrm{1}} - {\mathrm{a}}} \right) \ast {\mathrm{normcdf}}\left( {{\mathrm{x}},{\mathrm{mu2}},{\mathrm{sigma2}}} \right)$$

where a is the relative contribution of each mixture component, mu1 and mu2 represent the means, and sigma1 and sigma 2 the standard deviations of each term, respectively; x is membrane distance and f(x) the cumulative distribution function. The domain of a is between 0 and 1 while the domains of mu1 is between 0 and 3.2 in the log transformed data (i.e. 1 and 24.5 nm back-transformed), and mu2 between 2.7 and 5 (i.e. 15 and 148 nm back-transformed).

Bootstrapping statistics of histograms

Assuming the analyzed images are representative of the population, confidence intervals of derived parameters can be determined by bootstrapping43,44, i.e. randomly assembling new datasets from the existing dataset and calculating statistics of the new bootstrapped datasets. This allows comparison of histogram data within an experiment. The two-component mixture model was fit to each bootstrapped distribution. From the resulting parameters the means and 95% confidence intervals (central 95% of the parameter distribution) were determined.

The data of the PfNCR1 immuno-gold EM was taken from 26 images (of 24 cells) in which 88 gold particles at the PV (18 nm diameter) were identified near (18 nm from the gold surface, i.e. primary and secondary antibody length) recognizable PPM, and with recognizable PVM. All measurable membrane distances in the dataset were recorded. To compare parameter aall of all PVM-PPM distances present in the dataset with agold of the gold particle distribution, the membrane distance distribution was divided into 54 nm long PV segments (corresponds to the range in which a PfNCR1 protein could be located from the center of a gold particle, i.e. length of 2x primary + 2x secondary antibody + gold), 1118 segments total (60.3 µm PV length) in the dataset, and bootstrapped with replacement 10,000×. The data of all available membrane distances describes all the regions in which a gold particle could be found. Hence, mu1, mu2, sigma1 and sigma2 of the bootstrap calculation of all distances can be used to determine parameter agoldin the gold particle distribution. This is achieved by fixing the parameters to the found values in the bootstrap calculation of distances near gold particles.

The enrichment of PfNCR1 was calculated as (agold (1 − aall))/(aall (1 − agold)).

Images of regions of single slices of randomly chosen cells were acquired to compare the PfNCR1 knock-down (34 images) with its control (46 images). Region to region differences are assumed to introduce variance in the sampling of membrane distances in electron micrographs. Hence, statistics was calculated by a bootstrap with replacement 10,000× of the images in the individual dataset. The significance of the difference in the relative contribution parameter a was determined by pooling the knock-down with the control dataset and bootstrapping with replacement into two random distributions with the size of the original distributions. This results in 2 a parameters a1 and a2 from the two mixed distributions. The difference of a1 and a2 was used determine the 95% confidence interval for a significant difference in between the knock-down and control dataset.

EM of immuno-gold labeled PfNCR-GFP and PfNCR1 knock-down

Samples were prepared for the initial characterization of PfNCR1 in Istvan et al.10 and reused in this publication. The existing immuno-gold image dataset was thus analyzed. The dataset was imaged with no hypothesis regarding PVM-PPM distance as outlined in10. Additional images were acquired of the PfNCR1 knock-down and control sample using a Thermo Fisher Technai T20 transmission electron microscope operated at 200 kV. Images were collected using an AMT NanoSprint1200 (Advanced Microscopy Techniques, Woburn, MA), a CMOS TEM camera.

Correlative light electron microscopy

EXP2-mNeonGreen—PV-mRuby3 parasites were isolated on a 65% percoll (MilliporeSigma) interface. Cells were fixed using 4% formaldehyde + 0.4% glutaraldehyde in 1x PHEM (pH 6.9) (Electron microscopy sciences)45. Gelatin-embedded samples were infiltrated with 2.3 M sucrose (in 0.1 M phosphate buffer) and put at 4 °C for three days on a rotating wheel, mounted onto sample pins and frozen in liquid nitrogen. Subsequently, the samples were ultrathin cryo-sectioned (50–60 nm) with a FC7/UC7-ultramicrotome (Leica, Vienna, AT) and with a 35° diamond knife (Diatome, Hatfield PA), picked-up with a 1:1 mixture of 2% methylcellulose (25 centipoises, MilliporeSigma) and 2.3 M sucrose (USB Corporation, Cleveland, OH)46. Sections were 5–10 min washed in PBS prior to light microscopy imaging using the Zeiss LSM 880 Airyscan module (see the section on light microscopy). Samples were then embedded in 4% uranyl acetate/2% methylcellulose mixture (ratio 1:9)47 for electron microscopy. Thin sections were examined on a JEM-1200EX (JEOL USA) transmission electron microscope (accelerating voltage 80 KeV) equipped with an A.M.T. 6-megapixel digital camera (Advanced Microscopy Techniques, Woburn, MA). EC-CLEM48 was used to align light and electron microscopy image in a non-rigid grid to accommodate sample warping. Electron micrographs with up to ×2500 direct magnification (7.4 nm pixel size) were used for the alignment to the light microscopy image (pixel size following the “optimal” pixel size settings of the Airyscan module is 42.6 nm).

Freeze fracture replica

Late stage NF54attb infected red blood cells were isolated using a magnetic separator as for the thin sections. Cell were gently pelleted at ~200 g in a clinical centrifuge, then layered as a thick slurry on a tiny 3 × 3 mm class coverslip mounted on a lung cushion, in preparation for quick-freezing with the liquid helium cooled copper-block slammer49. Thereafter, they were transferred to a Balzers 400 freeze-fracture apparatus, where they were fractured through their well-frozen surfaces, deep-etched for 2 min at −104 °C, and then rotary-replicated with 4 nm of platinum deposited from a 20° angle. Thereafter they were backed with 10 nm of carbon deposited from 90°, removed from the Balzers, thawed, and the platinum replica was floated on 25% SDS to partially remove organic material from underneath it50. After washing, the replica was picked up on an EM grid. Thereafter, these replicas were examined in the electron microscope in the same manner as the thin sections, above.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

Data supporting the findings of this manuscript are available from the corresponding authors upon reasonable request. A reporting summary for this Article is available as a Supplementary Information file. The source data underlying histograms, plots, averages with error are provided as a Source Data file. Source data are provided with this paper. An example image is provided with the scripts.

Code availability

MATLAB (Mathworks) scripts as described in the methods are available at https://github.com/gartenm/piebald.

References

  1. 1.

    Ward, G. E., Miller, L. H. & Dvorak, J. A. The origin of parasitophorous vacuole membrane lipids in malaria-infected erythrocytes. J. Cell Sci. 106, 237–248 (1993).

    CAS  PubMed  Google Scholar 

  2. 2.

    Suss-Toby, E., Zimmerberg, J. & Ward, G. E. Toxoplasma invasion: the parasitophorous vacuole is formed from host cell plasma membrane and pinches off via a fission pore. Proc. Natl Acad. Sci. USA 93, 8413–8418 (1996).

    ADS  CAS  PubMed  Google Scholar 

  3. 3.

    Desai, S. A., Krogstad, D. J. & McCleskey, E. W. A nutrient-permeable channel on the intraerythrocytic malaria parasite. Nature 362, 643–646 (1993).

    ADS  CAS  PubMed  Google Scholar 

  4. 4.

    Sherling, E. S. & Ooij, C. V. Host cell remodeling by pathogens: the exomembrane system in Plasmodium-infected erythrocytes. FEMS Microbiol. Rev. 40, 701–721 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Deitsch, K. W. & Dzikowski, R. Variant gene expression and antigenic variation by malaria parasites. Annu. Rev. Microbiol. 71, 625–641 (2017).

    CAS  PubMed  Google Scholar 

  6. 6.

    Garten, M. et al. EXP2 is a nutrient-permeable channel in the vacuolar membrane of Plasmodium and is essential for protein export via PTEX. Nat. Microbiol. 3, 1090 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Ho, C.-M. et al. Malaria parasite translocon structure and mechanism of effector export. Nature 561, 70–75 (2018).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Martin, R. E., Ginsburg, H. & Kirk, K. Membrane transport proteins of the malaria parasite. Mol. Microbiol. 74, 519–528 (2009).

    CAS  PubMed  Google Scholar 

  9. 9.

    Kirk, K. & Lehane, A. M. Membrane transport in the malaria parasite and its host erythrocyte. Biochem. J. 457, 1–18 (2014).

    CAS  PubMed  Google Scholar 

  10. 10.

    Istvan, E. S. et al. Plasmodium Niemann-Pick type C1-related protein is a druggable target required for parasite membrane homeostasis. eLife 8, e40529 (2019).

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Scorrano, L. et al. Coming together to define membrane contact sites. Nat. Commun. 10, 1287 (2019).

    ADS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Goodenough, D. A. & Paul, D. L. Gap junctions. Cold Spring Harb. Perspect. Biol. 1, a002576 (2009).

    PubMed  PubMed Central  Google Scholar 

  13. 13.

    Hanssen, E. et al. Soft X-ray microscopy analysis of cell volume and hemoglobin content in erythrocytes infected with asexual and sexual stages of Plasmodium falciparum. J. Struct. Biol. 177, 224–232 (2012).

    PubMed  Google Scholar 

  14. 14.

    Glushakova, S. et al. Exploitation of a newly-identified entry pathway into the malaria parasite-infected erythrocyte to inhibit parasite egress. Sci. Rep. 7, 12250 (2017).

    ADS  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Glushakova, S. et al. Rounding precedes rupture and breakdown of vacuolar membranes minutes before malaria parasite egress from erythrocytes. Cell. Microbiol. 20, e12868 (2018).

    PubMed  PubMed Central  Google Scholar 

  16. 16.

    Nessel, T. et al. EXP1 is required for organisation of EXP2 in the intraerythrocytic malaria parasite vacuole. Cell. Microbiol. 22, e13168 (2020).

    CAS  PubMed  Google Scholar 

  17. 17.

    Bos, E. et al. Vitrification of Tokuyasu-style immuno-labelled sections for correlative cryo light microscopy and cryo electron tomography. J. Struct. Biol. 186, 273–282 (2014).

    PubMed  Google Scholar 

  18. 18.

    Li, X., Saha, P., Li, J., Blobel, G. & Pfeffer, S. R. Clues to the mechanism of cholesterol transfer from the structure of NPC1 middle lumenal domain bound to NPC2. Proc. Natl Acad. Sci. USA 113, 10079–10084 (2016).

    CAS  PubMed  Google Scholar 

  19. 19.

    Saheki, Y. & De Camilli, P. Endoplasmic reticulum–plasma membrane contact sites. Annu. Rev. Biochem. 86, 659–684 (2017).

    CAS  PubMed  Google Scholar 

  20. 20.

    Wu, H., Carvalho, P. & Voeltz, G. K. Here, there, and everywhere: the importance of ER membrane contact sites. Science 361, eaan5835 (2018).

    PubMed  PubMed Central  Google Scholar 

  21. 21.

    Charnaud, S. C. et al. Spatial organization of protein export in malaria parasite blood stages. Traffic 19, 605–623 (2018).

    CAS  PubMed  Google Scholar 

  22. 22.

    Kalanon, M. et al. The Plasmodium translocon of exported proteins component EXP2 is critical for establishing a patent malaria infection in mice. Cell. Microbiol. 18, 399–412 (2016).

    CAS  PubMed  Google Scholar 

  23. 23.

    Riglar, D. T. et al. Spatial association with PTEX complexes defines regions for effector export into Plasmodium falciparum-infected erythrocytes. Nat. Commun. 4, 1415 (2013).

    ADS  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Mesén-Ramírez, P. et al. EXP1 is critical for nutrient uptake across the parasitophorous vacuole membrane of malaria parasites. PLoS Biol. 17, e3000473 (2019).

    PubMed  PubMed Central  Google Scholar 

  25. 25.

    Horenkamp, F. A., Valverde, D. P., Nunnari, J. & Reinisch, K. M. Molecular basis for sterol transport by StART-like lipid transfer domains. EMBO J. 37, e98002 (2018).

    PubMed  PubMed Central  Google Scholar 

  26. 26.

    Spielmann, T., Gardiner, D. L., Beck, H.-P., Trenholme, K. R. & Kemp, D. J. Organization of ETRAMPs and EXP-1 at the parasite–host cell interface of malaria parasites. Mol. Microbiol. 59, 779–794 (2006).

    CAS  PubMed  Google Scholar 

  27. 27.

    Spielmann, T., Montagna, G. N., Hecht, L. & Matuschewski, K. Molecular make-up of the Plasmodium parasitophorous vacuolar membrane. Int. J. Med. Microbiol. 302, 179–186 (2012).

    CAS  PubMed  Google Scholar 

  28. 28.

    Tribensky, A., Graf, A. W., Diehl, M., Fleck, W. & Przyborski, J. M. Trafficking of PfExp1 to the parasitophorous vacuolar membrane of Plasmodium falciparum is independent of protein folding and the PTEX translocon. Cell. Microbiol. 19, e12710 (2016).

    Google Scholar 

  29. 29.

    García-Sáez, A. J. & Schwille, P. Stability of lipid domains. FEBS Lett. 584, 1653–1658 (2010).

    PubMed  Google Scholar 

  30. 30.

    Polozov, I. V., Bezrukov, L., Gawrisch, K. & Zimmerberg, J. Progressive ordering with decreasing temperature of the phospholipids of influenza virus. Nat. Chem. Biol. 4, 248–255 (2008).

    CAS  PubMed  Google Scholar 

  31. 31.

    Wilson, R. L. et al. Hemagglutinin clusters in the plasma membrane are not enriched with cholesterol and sphingolipids. Biophys. J. 108, 1652–1659 (2015).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Sodt, A. J., Pastor, R. W. & Lyman, E. Hexagonal substructure and hydrogen bonding in liquid-ordered phases containing palmitoyl sphingomyelin. Biophys. J. 109, 948–955 (2015).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Enoki, T. A., Heberle, F. A. & Feigenson, G. W. FRET detects the size of nanodomains for coexisting liquid-disordered and liquid-ordered phases. Biophys. J. 114, 1921–1935 (2018).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Rayermann, S. P., Rayermann, G. E., Cornell, C. E., Merz, A. J. & Keller, S. L. Hallmarks of reversible separation of living, unperturbed cell membranes into two liquid phases. Biophys. J. 113, 2425–2432 (2017).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Adjalley, S. H. et al. Quantitative assessment of Plasmodium falciparum sexual development reveals potent transmission-blocking activity by methylene blue. Proc. Natl Acad. Sci. USA 108, 1214–1223 (2011).

    Google Scholar 

  36. 36.

    Muralidharan, V., Oksman, A., Iwamoto, M., Wandless, T. J. & Goldberg, D. E. Asparagine repeat function in a Plasmodium falciparum protein assessed via a regulatable fluorescent affinity tag. Proc. Natl Acad. Sci. 108, 4411–4416 (2011).

    ADS  CAS  PubMed  Google Scholar 

  37. 37.

    Nkrumah, L. J. et al. Efficient site-specific integration in Plasmodium falciparum chromosomes mediated by mycobacteriophage Bxb1 integrase. Nat. Methods 3, 615–621 (2006).

    CAS  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Grüring, C. et al. Development and host cell modifications of Plasmodium falciparum blood stages in four dimensions. Nat. Commun. 2, 165 (2011).

    ADS  PubMed  Google Scholar 

  39. 39.

    Bennett, C. L. et al. Nine-year Wilkinson microwave anisotropy probe (WMAP) observations: final maps and results. Astrophys. J. Suppl. Ser. 208, 20 (2013).

    ADS  Google Scholar 

  40. 40.

    Bezlyepkina, N., Gracià, R. S., Shchelokovskyy, P., Lipowsky, R. & Dimova, R. Phase diagram and tie-line determination for the ternary mixture DOPC/eSM/Cholesterol. Biophys. J. 104, 1456–1464 (2013).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Park, Y. et al. Refractive index maps and membrane dynamics of human red blood cells parasitized by Plasmodium falciparum. Proc. Natl Acad. Sci. USA 105, 13730–13735 (2008).

    ADS  CAS  PubMed  Google Scholar 

  42. 42.

    Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Hesterberg, T. C. What teachers should know about the bootstrap: resampling in the undergraduate statistics curriculum. Am. Stat. 69, 371–386 (2015).

    MathSciNet  PubMed  PubMed Central  Google Scholar 

  44. 44.

    Calmettes, G., Drummond, G. B. & Vowler, S. L. Making do with what we have: use your bootstraps. J. Physiol. 590, 3403–3406 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Schliwa, M., Euteneuer, U., Bulinski, J. C. & Izant, J. G. Calcium lability of cytoplasmic microtubules and its modulation by microtubule-associated proteins. Proc. Natl Acad. Sci. USA 78, 1037–1041 (1981).

    ADS  CAS  PubMed  Google Scholar 

  46. 46.

    Liou, W., Geuze, H. J. & Slot, J. W. Improving structural integrity of cryosections for immunogold labeling. Histochem. Cell Biol. 106, 41–58 (1996).

    CAS  PubMed  Google Scholar 

  47. 47.

    Griffiths, G. Fine Structure Immunocytochemistry. (Springer-Verlag, Berlin, Heidelberg, 1993).

  48. 48.

    Paul-Gilloteaux, P. et al. eC-CLEM: flexible multidimensional registration software for correlative microscopies. Nat. Methods 14, 102–103 (2017).

    CAS  PubMed  Google Scholar 

  49. 49.

    Heuser, J. Protocol for 3-D visualization of molecules on mica via the quick-freeze, deep-etch technique. J. Electron Microsc. Tech. 13, 244–263 (1989).

    CAS  PubMed  Google Scholar 

  50. 50.

    Fujimoto, K. SDS-digested freeze-fracture replica labeling electron microscopy to study the two-dimensional distribution of integral membrane proteins and phospholipids in biomembranes: practical procedure, interpretation and application. Histochem. Cell Biol. 107, 87–96 (1997).

    CAS  PubMed  Google Scholar 

  51. 51.

    Lauer, S. A., Rathod, P. K., Ghori, N. & Haldar, K. A membrane network for nutrient import in red cells infected with the malaria parasite. Science 276, 1122–1125 (1997).

    CAS  PubMed  Google Scholar 

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Acknowledgements

We thank Svetlana Glushakova for critical discussions, Paul Blank for particularly useful discussions and help with the statistical analyses, Jennifer Petersen for help with electron microscopy, Rumiana Dimova for pointing out the refractive index correction, Wandy Beatty for PfNCR1 EM. This work was supported by the Division of Intramural Research of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health and National Institutes of Health grant HL133453 to J.R.B.

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M.G., J.Z., D.E.G., and J.R.B. conceived and designed experiments. J.R.B. generated and analyzed the parasite strains, performed light microscopy of the DHFR strain, generated the samples for the freeze fracture. M.G. performed all other light microscopy, EM of the PfNCR1 knock-down and control, the IFA, analyzed all microscopy data. R.R. prepared the freeze-fractures. E.S.I. prepared PfNCR1 immuno-gold and knock-down samples. T.T.-H. embedded and cut the thin-sections for EM, J.H. imaged freeze-fractures and thin sections. C.K.E.B. processed the sample for CLEM, imaged the sample in EM. All authors discussed and edited the paper.

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Correspondence to Daniel E. Goldberg or Joshua Zimmerberg.

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Garten, M., Beck, J.R., Roth, R. et al. Contacting domains segregate a lipid transporter from a solute transporter in the malarial host–parasite interface. Nat Commun 11, 3825 (2020). https://doi.org/10.1038/s41467-020-17506-9

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