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. 2024 Sep 24;3(10):pgae424. doi: 10.1093/pnasnexus/pgae424

Progressive heterogeneity of enlarged and irregularly shaped apicoplasts in Plasmodium falciparum persister blood stages after drug treatment

Chiara E Micchelli 1, Caroline Percopo 2, Maria Traver 3, Joseph Brzostowski 4, Shuchi N Amin 5, Sean T Prigge 6, Juliana M Sá 7, Thomas E Wellems 8,b,
Editor: Victor Nizet
PMCID: PMC11460358  PMID: 39381646

Abstract

Morphological modifications and shifts in organelle relationships are hallmarks of dormancy in eukaryotic cells. Communications between altered mitochondria and nuclei are associated with metabolic quiescence of cancer cells that can survive chemotherapy. In plants, changes in the pathways between nuclei, mitochondria, and chloroplasts are associated with cold stress and bud dormancy. Plasmodium falciparum parasites, the deadliest agent of malaria in humans, contain a chloroplast-like organelle (apicoplast) derived from an ancient photosynthetic symbiont. Antimalarial treatments can fail because a fraction of the blood-stage parasites enter dormancy and recrudesce after drug exposure. Altered mitochondrial–nuclear interactions in these persisters have been described for P. falciparum, but interactions of the apicoplast remained to be characterized. In the present study, we examined the apicoplasts of persisters obtained after exposure to dihydroartemisinin (a first-line antimalarial drug) followed by sorbitol treatment, or after exposure to sorbitol treatment alone. As previously observed, the mitochondrion of persisters was consistently enlarged and in close association with the nucleus. In contrast, the apicoplast varied from compact and oblate, like those of active ring-stage parasites, to enlarged and irregularly shaped. Enlarged apicoplasts became more prevalent later in dormancy, but regular size apicoplasts subsequently predominated in actively replicating recrudescent parasites. All three organelles, nucleus, mitochondrion, and apicoplast, became closer during dormancy. Understanding their relationships in erythrocytic-stage persisters may lead to new strategies to prevent recrudescences and protect the future of malaria chemotherapy.

Keywords: malaria, dormancy, recrudescence, artemisinin, mitochondrion


Significance Statement.

Dormancy of blood-stage malaria parasites (as persister forms) frequently undermines treatment and may facilitate the evolution of drug resistance. Here, we examine changes that occur in dormancy with two Plasmodium falciparum organelles relative to the nucleus: the mitochondrion and the plastid-like apicoplast. As previously reported, the mitochondrion of persisters is consistently enlarged, irregularly shaped, and shifted into close apposition with the nucleus. However, apicoplasts exhibit a greater variety of shapes, volumes, and relative positioning during dormancy: some persisters maintain a regular appearing apicoplast, while others show dramatically altered apicoplasts, reminiscent of the chloroplast swelling and degradation that occurs with death from reactive oxygen species in various plant cells. Deeper understanding of these processes will support improved approaches in antimalarial chemotherapy.

Introduction

Malaria remains a major public health burden, particularly in sub-Saharan Africa where most morbidity and mortality from the disease are caused by Plasmodium falciparum. Artemisinin and its derivatives (collectively termed ART herein) are first-line antimalarial drugs and serve as the foundation of artemisinin-based combination therapies (ACTs) for uncomplicated malaria (1, 2).

Although ART monotherapy rapidly clears the symptoms and parasitemia of malaria, combination treatment with a long-acting partner drug is necessary to prevent parasite recrudescences that often follow 3-, 5-, 7-, and even 10-day regimens of ART alone (3–7). Pharmacokinetic–pharmacodynamic modeling based on clinical outcomes after artesunate (AS) monotherapy suggested that a small number of parasites dodge the lethal effects of ART by entering a state of dormancy (8). Indeed, inactive dormant forms of P. falciparum had been proposed from studies of parasite cultures subjected to repetitive selections with sorbitol or treatments with pyrimethamine (PYR) or mefloquine (MEF) (9, 10). Subsequent studies treating parasites in vitro with either artemisinin or dihydroartemisinin (DHA) showed that a subpopulation of ring-stage parasites can also survive by entering a metabolically quiescent, growth arrested state (11–13). These dormant persister forms occur in human patients after single doses of AS (14). Plasmodium dormancy has also been reported after exposure to other antimalarial drugs including chloroquine (CQ) (15, 16) as well as atovaquone alone or in combination with proguanil (17).

Morphological modifications and shifts in organelle relationships are hallmarks of cellular stress and dormancy in eukaryotic cells. In plants, condensation of chromatin and increased contact between nuclei, mitochondria, and chloroplasts are associated with bud dormancy and cold stress (18–20). Chloroplasts are especially sensitive to abiotic stress and reactive oxygen species (ROS), which can alter inter-organelle communication and cause chloroplast transformations, including swelling and degradation (21, 22). In mammals, mitochondrial changes are common markers of cellular stress. So called “giant mitochondria” are found in the liver parenchymal cells of patients with nonalcoholic fatty liver disease, and mitochondrial–nuclear associations in cancer cells may alter retrograde signaling and thereby facilitate survival (23, 24). In cancer cells treated with cisplatin, nuclear pore architecture has also been shown to change with quiescence (25). Cell subpopulations in a stress-like, quiescent state occur in early stages of tumorigenesis with several types of cancers. Innate groups of these stress-like cells can seed new tumors and cause disease relapses after chemotherapy, independent of mutations (26). Dormancy in yeast is accompanied by changes including extensive reorganization and compaction in the cytoplasm (27).

Previous work from our group demonstrated dramatic changes in volume and localization of mitochondria in dormant blood stages of P. falciparum. The mitochondrion in these stages enlarges and forms a close association with the nucleus, potentially facilitating organelle contact sites and retrograde signaling pathways common in cellular stress (28). Another organelle that has been implicated in P. falciparum dormancy is the apicoplast, a plastid organelle derived from the endosymbiosis of red algae (29–31). Here, we use super-resolution Airyscan microscopy (ASM) to examine the status of the apicoplast in P. falciparum blood-stage persisters and active ring stages. We compare the apicoplast and mitochondrion volumes and the spatial relationships of these organelles with respect to each other and to the nucleus in dormancy.

Results

Isolation of persisters and active ring stages using fluorescence-activated cell sorting

To study organelle morphology in dormant blood-stage parasites, we chose the NF54-SFG parasite line that expresses a fluorescent super folder green label in the apicoplast (NF54-SFG) (32). The dormancy and recrudescence curves of this line (Fig. S1) were obtained by the method of Breglio et al. (33), in which synchronized ring stages were treated with DHA for 6 h on day 0, followed by 5% sorbitol selection at 24, 48, and 72 h (days 1, 2, and 3) to remove the trophozoites and schizonts of any remaining actively replicating parasites by osmotic lysis (34). The parasitemia of active forms (microscopically identified ring-, trophozoite-, and schizont-stage parasites) rapidly decreased after DHA treatment on day 0, and by the third sorbitol treatment only persisters and dying or dead (pyknotic) parasites were observed. Persisters were distinguished by rounded, compact chromatin with condensed cytoplasm visible in Giemsa-stained thin blood smears, as previously described (35). Active forms became visible between days 11 and 13, and the parasitemia rose to ≥ 2% between days 16 and 17.

To isolate and enrich NF54-SFG parasite-infected erythrocytes for the examination of apicoplast morphology, active ring stages and persisters were stained with Hoechst 333432 (HO) and MitoTracker Deep Red (MT) and collected by fluorescence-activated cell sorting (FACS) in a two-step enrichment protocol (see “Materials and methods” section). Persisters were obtained by treating synchronized ring-stage parasites with 700 nM DHA/0.1% dimethyl sulfoxide (DMSO) in culture medium for 6 h on day 0, followed by 5% sorbitol on day 1 to eliminate the possible presence of parasites that were not dormant and had progressed from active ring forms to more mature stages. For control observations, synchronized parasites were treated with 0.1% DMSO (the drug vehicle) in culture medium on day 0 and mock-selected with incomplete culture medium (no sorbitol, see “Materials and methods” section) on day 1; in this report, these are referred to as “vehicle-treated control parasites” or “controls” (Fig. S2).

Cells were collected from culture on day 2, stained with HO and MT, and separated using the FACS gating strategy shown in Fig. 1A. In the first of a two-step sorting process, the yield sort enriched samples for parasitized erythrocytes based on HO signal, thereby removing a significant proportion of uninfected red cells. In the second (purity) sort, infected erythrocytes were further separated from uninfected cells based on both HO and MT fluorescence. HO + MT + cells (shown in purple) were gated into four subpopulations based on their different levels of MT fluorescence (P1, P2, P3, and P4). Cells with the lowest MT fluorescence fell into the P1 gate, and cells with the highest MT fluorescence were located in the P4 gate. In these separations, the cells of vehicle-treated control parasites were distributed across all levels of MT positivity, with late rings and early trophozoites predominating in the P3 subpopulation. This was expected as, in our laboratory cultures, the blood-stage cycle of NF54-SFG parasites was ∼40 h, consistent with the 39 h cycle time found in human volunteers (36). Thus, after the time to harvest (50 h) plus another ∼6 h to complete the FACS and cytospin preparations, the parasites imaged in the upper panels were well into their second 40 h cycle, at 22–25 h development (Figs. 1B and S2).

Fig. 1.

Fig. 1.

FACS gating strategy and Giemsa-stained cytospin images of control- and DHA/sorbitol-treated NF54-SFG parasites. Synchronized 6–9 h rings were exposed to the drug vehicle for 6 h on day 0 and mock-selected with iRPMI on day 1 (control), or they were treated with 700 nM DHA for 6 h on day 0 and selected with 5% sorbitol on day 1 (DHA/sorbitol). The samples were harvested on day 2 (t = 50 h), stained with Hoechst 33342 (HO) plus MitoTracker Deep Red FM (MT). Parasitized erythrocytes were collected and imaged after two sequential steps of purification by the yield and 4-way purity modes of a BD Aria Fusion Flow Cytometer. A) Panels labeled “Yield” show the parasitemias of culture samples and gates employed for the first step of high-throughput yield sorting of the HO +/MT + population. Panels labeled “Purity” show the distributions of cells obtained after yield sorting and delineate the P1–P4 gates used to collect the purity-sorted stages of HO +/MT + cells. The vehicle-, iRPMI mock-treated population containing 3.7% HO + cells was yield-purified, providing an enriched distribution of 0.4, 2.8, 27.6, and 5.5% HO + cells in the P1–P4 windows for purity-collected controls. Similarly, the population of 1% HO + cells from the DHA/sorbitol-treated culture was yield-enriched to provide 1.7, 8.3, 4.1, and very rare cells (0.0% reported) in the P1–P4 windows for purified DHA/sorbitol-treated cells. B) Images of Giemsa-stained parasites from cytospin preparations of P1–P4 subpopulations. Late rings and early trophozoites predominate in the P3 subpopulation of control-treated samples; smaller percentages of late-stage schizonts and early rings are explained by loss of synchrony from experimental manipulations or naturally arising cell-to-cell variability (96). In DHA/sorbitol-treated samples, persisters were most frequent in the P2 window. Although FACS detected almost no events in the DHA/sorbitol P4 window, our searches identified rare mature forms in highly concentrated cytospin preparations (two parasitized cells shown).

Images of Giemsa-stained cells collected by cytospin from each FACS-isolated subpopulation are shown in Fig. 1B. The P1 subpopulation of vehicle-treated control cells consisted of uninfected erythrocytes, some erythrocytes infected with rings, and erythrocytes infected with persisters including pyknotic-like forms. The P2 subpopulation consisted of erythrocytes infected with single early rings, while the P3 subpopulation included erythrocytes infected with single or multiple rings, late rings, and early trophozoites. P4, the subpopulation with the brightest MT signal, contained cells infected with schizonts, trophozoites, and multiple parasites.

On day 2, the subpopulation compositions of the DHA/sorbitol-treated parasites differed markedly from that of the controls (compare Fig. 1B, control vs. DHA/sorbitol panels). Greater numbers of HO + MT + cells were obtained from the controls than from the DHA/sorbitol-treated cultures. Cells in the DHA/sorbitol P1 subpopulation consisted mostly of pyknotic-like parasites. The P2 and P3 subpopulations contained erythrocytes infected with persisters. Erythrocytes in P3 were sometimes infected with more than one persister, but these multiple infections were typically not observed in the P2 cells. Finally, the P4 subpopulation contained sparse numbers of cells, making their collection and observation difficult. The few P4 cells that could be collected and examined microscopically contained parasites in advanced stages of development (trophozoites and schizonts).

Altered morphology and localization of apicoplasts, as well as mitochondria, in parasites after DHA/sorbitol exposure

The organelles of parasites isolated on day 2 from the P2 and P3 subpopulations of DHA/sorbitol- and vehicle-treated control cultures were imaged using ASM. Organelle “surfaces” were processed in Imaris based on 3-D reconstructions from Airyscan-processed images, which also enabled spatial and volumetric analysis. Figure 2A displays representative surface renderings of the fluorescence volumes of the mitochondrion (red), nucleus (blue), and apicoplast (green). Figure 2B and C shows individual organelle volumes and distances, respectively, along with their corresponding medians and inter-quartile ranges (IQRs).

Fig. 2.

Fig. 2.

Organelle images and measurements from vehicle-treated control and DHA/sorbitol-treated parasites at day 2. The vehicle-treated control and DHA/sorbitol-treated parasites were isolated as described in Fig. 1 and imaged using ASM. A) Airyscan-processed fluorescence images of organelles in DHA/sorbitol-treated persisters show dramatic changes of morphology and association compared to the organelles of vehicle control parasites. Apicoplasts, mitochondria, and nuclei are represented in green, red, and blue, respectively. Surfaces were created using Imaris. Scale bar = 0.5 µm. B) Scatterplots, medians, and IQRs of apicoplast (Api), mitochondrial (Mito), and nuclear (Nuc) volumes in vehicle-treated active ring stages and DHA/sorbitol-treated persisters. Each point represents one organelle volume. Mann–Whitney significance results from comparisons of these volumes in vehicle control- vs. DHA/sorbitol-treated parasites: Mito P < 0.0001, Nuc P < 0.0009, Api P < 0.0001 (Dataset S1). C) Scatterplots, medians, and IQRs of the inter-organelle distances in vehicle-treated control and DHA/sorbitol-treated parasites. Centers of mass of the organelles were used to calculate the distances between the mitochondria and nuclei (Mito-Nuc), mitochondria and apicoplasts (Mito-Api), and nuclei and apicoplasts (Nuc-Api). Each point represents one distance measurement. Mann–Whitney significance test results from comparisons of these distances in vehicle control- vs. DHA/sorbitol-treated parasites: Mito-Nuc P < 0.0001, Mito-Api P < 0.0001, and Nuc-Api P < 0.0001 (Dataset S1).

In ring stages from the vehicle-treated control cultures, apicoplasts had a median volume of 0.12 µm3 (IQR 0.08 to 0.16 µm3) and were oblate in shape (Fig. 2A and B, vehicle control; Movie S1; Dataset S1). The apicoplast in individual parasites was located immediately adjacent to the mitochondrion, consistent with the electron microscopy findings of Hopkins et al. (37). The median distance between these organelles, as measured from the center of mass of each organelle, was 0.42 µm (0.32–0.56 µm) (Fig. 2C; Dataset S1). The apicoplast and mitochondrion were separated from the nucleus by a median distance of 0.81 µm (0.68–0.98 µm) and 0.72 µm (0.60–0.92 µm), respectively (Fig. 2C; Dataset S1). In some instances, the mitochondrion and apicoplast were closer to the nucleus but their fluorescence volumes still occupied discrete locations (Movie S2).

The mitochondria of DHA/sorbitol-treated parasites on day 2 were consistently enlarged, in agreement with previous observations (28). Figure 2A shows the shapes of mitochondria in control- and DHA/sorbitol-treated parasites, 2 days post-DHA. Whereas the mitochondria of the active ring-stage parasites were oblate with a median volume of 0.21 µm3 (0.14–0.29 µm3), the mitochondria of the persisters were irregularly shaped with a median volume of 1.0 µm3 (0.84–1.3 µm3; P < 0.001, Mann–Whitney test) (Fig. 2B; Dataset S1). As previously observed, the mitochondrion was more closely associated with the nucleus in persisters, as shown by the decrease in the median distance from 0.72 µm (0.60–0.92 µm) in rings to 0.38 µm (0.31–0.46 µm) in persisters (P < 0.0001, Mann–Whitney test) (Fig. 2C; Dataset S1).

The morphology of the apicoplast on day 2 varied more than that of the mitochondrion in persisters following DHA/sorbitol treatment. A proportion of these persisters had a compact, oblate apicoplast like that observed in active ring stages, whereas many others contained an enlarged and irregularly shaped apicoplast (Fig. 2A and B). In all persisters, the apicoplast was found close to the mitochondrion. In persisters with an oblate apicoplast, the apicoplast sometimes appeared to be enwrapped by the mitochondrion (Movie S3).

The Airyscan-processed images of parasites with large apicoplasts displayed overlapping apicoplast, mitochondrial, and nuclear fluorescence in the 2D and 3D projections, as well as in individual z-slices (Movie S4). Furthermore, the fluorescence of large apicoplasts was often expanded with less intensity. For the apicoplasts of all sizes, the median volume in the persisters was increased to 0.42 µm3 (0.13–1.1 µm3; P < 0.0001, Mann–Whitney test), and the median mitochondrion–apicoplast distance was 0.21 µm (0.13–0.37 µm; P < 0.0001, Mann–Whitney test), suggesting more extensive association than in the active ring-stage parasites (Fig. 2C; Dataset S1). Although the swollen mitochondrion was typically larger than the apicoplast in persisters, this was sometimes not the case in persisters containing particularly enlarged apicoplasts.

Figure 3A–C shows organelle surface renderings as well as organelle volumes and inter-organelle distances on days 5, 11, and 17 in persisters that received one DHA treatment on day 0 and three sorbitol treatments on days 1, 2, and 3. As with the apicoplasts of day 2 parasites after one DHA treatment and one sorbitol treatment, marked morphological diversity was evident among the apicoplasts in the day 5 and day 11 persisters. On day 5, the apicoplast shape and volume were often oblate and <0.5 µm3, however abundant swollen forms were also observed with apicoplast volumes > 0.5 µm3. Taken together, the median apicoplast volume of the DHA/sorbitol-treated day 5 forms was 0.65 µm3 (0.12–1.1 µm3), significantly higher than that of vehicle-treated control parasites on day 2 (P < 0.0001, Kruskal–Wallis test). By day 11, there was an even greater departure from the apicoplast morphology characteristic of active rings (P < 0.0001, Kruskal–Wallis test). Although some apicoplasts in the day 11 persisters continued to show regular oblate volumes, the majority of apicoplasts was enlarged and in some cases were larger than the mitochondria. Many of the persisters exhibited fluorescence overlap, especially from apicoplast and mitochondrial markers. These observations coincided with the findings of greatly increased median apicoplast volume (1.2 µm3 [0.91–1.5 µm3]; P < 0.0001, Kruskal–Wallis test) and reduced distance between the mitochondrion and apicoplast (0.11 µm [0.09–0.14 µm]; P < 0.0001, Kruskal–Wallis test), as well as between the apicoplast and nucleus (0.45 µm [0.33–0.55 µm]; P < 0.0001, Kruskal–Wallis test; Fig. 3B and C; Dataset S1).

Fig. 3.

Fig. 3.

ASM images, organelle volumes, and inter-organelle distances of DHA/sorbitol-treated parasites on days 5, 11, and 17. Synchronized ring-stage parasites were treated with 700 nM DHA on day 0, followed by three daily 5% sorbitol treatments on days 1, 2, and 3. ASM analysis was performed on infected erythrocytes from the P2 and P3 subpopulations isolated by FACS on days 5, 11, and 17. A) Representative images from parasites on days 5 and 11 show predominantly persister forms, whereas the images from parasites on day 17 almost exclusively show active ring stages. Scale bar = 0.5 µm. B, C) Scatterplots with medians and IQRs of the organelle volumes and inter-organelle distances in DHA/sorbitol-treated parasites on days 5, 11, and 17. Results from vehicle-treated control and DHA/sorbitol-treated parasites on day 2 are included for reference. Kruskal–Wallis significance test results from comparisons of the volumes in vehicle control- vs. DHA/sorbitol-treated parasites: apicoplast day 2 P < 0.0001, day 5 P < 0.0001, day 11 P < 0.0001, day 17 P > 0.9999; mitochondrion day 2 P < 0.0001, day 5 P < 0.0001, day 11 P < 0.0001, day 17 P > 0.9999; nucleus day 2 P = 0.0084, day 5 P = 0.3639, day 11 P < 0.0001, day 17 P = 0.0491. Kruskal–Wallis significance test results from the distance comparisons: Mito-Nuc day 2 P < 0.0001, day 5 P < 0.0001, day 11 P < 0.0001, day 17 P > 0.9999; Mito-Api day 2 P < 0.0001, day 5 P < 0.0001, day 11 P < 0.0001, day 17 P > 0.9999; Nuc-Api day 2 P < 0.0001, day 5 P < 0.0001, day 11 P < 0.0001, day 17 P > 0.9999 (Dataset S1).

Figure 3B shows that the mitochondria of persisters were more uniformly enlarged than the apicoplasts at days 2, 5, and 11. The median mitochondrial volume was 1.08 µm3 on day 5 (0.92–1.3 µm3; P < 0.0001, Kruskal–Wallis test) and 1.2 µm3 on day 11 (0.98–1.5 µm3) (P < 0.0001, Kruskal–Wallis test). Along with these changes of volume, there was a reduction in the median distance between the apicoplast and the nucleus (Fig. 3C; Dataset S1). The nuclear volumes displayed comparatively small changes in persisters. Two days post-DHA, the median nuclear volume was 0.41 µm3 (0.31–0.52 µm3), less than that of ring stages (0.49 µm3 [0.37–0.64 µm3]; P = 0.0009, Mann–Whitney test), but it increased on days 5 and 11 to 0.53 µm3 (0.43–0.69 µm3; P = 0.3639, Kruskal–Wallis test) and 0.69 µm3 (0.49–0.89 µm3; P < 0.0001, Kruskal–Wallis test), respectively (Fig. 3B, Dataset S1).

At recrudescence, on day 17 post-DHA, relatively few persisters remained, and active ring stages were the most prevalent in the P2 and P3 FACS subpopulations. ASM analysis and Imaris-generated surfaces showed that all organelles in the day 17 ring stages were morphologically similar to those of ring stages from the vehicle-treated control cultures on day 2 (Fig. 3A, day 17). The median apicoplast, mitochondrial, and nuclear volumes of the recrudescent ring stages were 0.09 µm3 (0.06–0.13 µm3), 0.18 µm3 (0.14–0.28 µm3), and 0.58 µm3 (0.43–0.72 µm3), respectively (Fig. 3B; Dataset S1). These median apicoplast and mitochondrial volumes were not significantly different from those of vehicle-treated control parasites (P > 0.999 in both cases, Kruskal–Wallis test), while the P-value for a somewhat larger median nuclear volume of recrudescent vs. control ring stages (0.58 vs. 0.48 µm3) was marginal (P = 0.0491, Kruskal–Wallis test). This larger nuclear volume could be due to asynchronicity of ring stages upon recrudescence, whereas rings in the controls were tightly synchronized prior to collection. The spatial relationships between organelles in the recrudescent ring stages also returned to pre-DHA/sorbitol treatment values (Fig. 3C; Dataset S1). The few persisters that remained on day 17 displayed characteristically enlarged apicoplasts and mitochondria with overlapping fluorescence signals (Fig. 3A).

Apicoplast volume distributions in persisters over time

To comparatively evaluate the apicoplast changes over time, we grouped the DHA/sorbitol-treated persisters into five categories based on apicoplast volume: <0.5 µm3, 0.5–1.0 µm3, 1.0–1.5 µm3, 1.5–2.0 µm3, and >2.0 µm3. The percentages of the parasites containing apicoplasts in these categories were determined from the populations of three biological replicate experiments as well as vehicle-treated controls. Figure 4 shows a heat map of apicoplast prevalence in these size ranges on days 2, 5, 11, and 17 of the recrudescence experiments plotted in Fig. S1.

Fig. 4.

Fig. 4.

“Heat maps” showing changes of the organelle volume distributions in DHA/sorbitol-treated persisters over time. The grid represents mean apicoplast, mitochondrion, and nuclear volumes of vehicle-treated control and DHA/sorbitol-treated parasites on days 2, 5, 11, and 17 obtained from three biological replicates. The organelles were categorized into five groups based on volume: <0.5, 0.5–1.0, 1.0–1.5, 1.5–2.0, and >2.0 µm3.

In the control cells on day 2, only regular <0.5 µm3 volume apicoplasts were observed in active ring stages. The mean prevalence of <0.5 µm3 apicoplasts in DHA/sorbitol-treated persisters on day 2 was 55.1 ± 9.38% (SEM), with progressively lower prevalences in larger volume categories (Figs. 4 and S3; Dataset S1). On day 5 after DHA/sorbitol, the <0.5 µm3 group continued to be most prevalent (45.4 ± 15.1%, mean ± SEM) but with a trend to increased overall counts of larger apicoplast volumes. On day 11, the swollen apicoplasts predominated, with mean prevalences of 45.6 ± 8.9% and 18.0 ± 5.8% in the 1.0–1.5 µm3 and 1.5–2.0 µm3 groups, respectively. The mean prevalence of >2.0 µm3 volume apicoplasts was also highest on day 11 (6.7% ± 3.3%). Even though these large volumes were most abundant, we note that the <0.5 µm3 apicoplasts remained prevalent (14.9 ± 5.7%). As described above, nearly all apicoplasts in the FACS-sorted samples on day 17 were <0.5 µm3 (93.0% ± 7.0%; Fig. S3; Dataset S1) and exhibited ring-stage morphology, consistent with the presence of abundant actively replicating parasites in the recrudescent population.

Corresponding analyses were performed on the mitochondrial and nuclear volumes (Figs. 4 and S3; Dataset S1). Like the apicoplast volumes, the mitochondrial volumes in vehicle-treated control parasites were uniformly <0.5 µm3. In the DHA/sorbitol-treated persisters, however, most mitochondria became enlarged: on days 2, 5, and 11, 45.2 ± 11.1, 42.7 ± 11.7, and 25.8 ± 9.7% of the calculated mitochondrial volumes were 0.5–1.0 µm3, and 42.4 ± 8.3, 47.5 ± 7.3, and 50.4 ± 1.49% were 1.0–1.5 µm3, respectively. By day 17, mitochondria with < 0.5 µm3 volumes predominated again (92.7 ± 5.63% < 0.5 µm3), consistent with the recrudescence of actively replicating parasites. Nuclear volumes showed less variation between the vehicle-treated control and the DHA/sorbitol-treated parasites across the different days after drug treatment.

Dormancy, recrudescence, and changes in apicoplast morphology observed after sorbitol treatment alone

In addition to its use as a synchronization agent for P. falciparum cultures, sorbitol treatment alone may be used to study recrudescence from dormant blood-stage parasites in culture (9). To explore this phenomenon further, we subjected ring-stage parasites to 5% sorbitol every 24 h for 4 days. Recrudescences after treatment with this protocol (4DS) arose several days sooner than after treatment with DHA/sorbitol (Fig. 5A). Active ring- and trophozoite-stage parasites were seen 5–7 days after the first sorbitol treatment (1–3 days after the final sorbitol treatment) and parasitemias reached ≥2% on days 10–13.

Fig. 5.

Fig. 5.

Recrudescence curves, ASM images, and organelle measurements of parasites after four daily sorbitol treatments. Synchronized ring-stage parasites were subjected to 5% sorbitol on day 0 for 10 min, followed by 3 more sorbitol treatments for 30 min on days 1, 2, and 3. A) Recrudescence curves of NF54-SFG active-form blood stages subjected to the four 5% sorbitol treatments. Parasitemias were monitored daily by Giemsa-stained thin blood smears until ≥2% recrudescence. Each line represents one biological replicate. B) Sorbitol-treated cultures were stained with HO and MT, collected by FACS, and subjected to ASM analysis. Organelle surfaces and approximations on day 5 were similar to those of DHA/sorbitol-treated parasites on day 2. By day 11, most parasites contained apicoplasts, mitochondrion, and nuclei characteristic of active ring stages. Scale bar = 0.5 µm. C, D) Scatterplots with medians and IQRs of organelle volumes and inter-organelle distances in the sorbitol-treated parasites. Kruskal–Wallis significance test results from comparisons of the volumes in vehicle control- vs. sorbitol-treated parasites: apicoplast day 5 P = 0.0015, day 11 P = 0.3540; mitochondrion day 5 P < 0.0001, day 11 P = 0.4935; nucleus day 5 P = 0.01525, day 11 P = 0.0003. Kruskal–Wallis significance test results from the distance comparisons: Mito-Nuc day 5 P < 0.0001, day 11 P > 0.9999; Mito-Api day 5 P = 0.0001, day 11 P = 0.8707; Nuc-Api day 5 P < 0.0001, day 11 P = 0.2543 (Dataset S1).

Figure 5B shows representative surface renderings from ASM images of the 4DS-treated parasites on days 5 and 11, and Fig. 5C and D compares the corresponding organelle volumes and distances of vehicle-treated control vs. 4DS-treated parasites. On day 5, the 4DS-treated persisters exhibited organelle morphologies similar to those of DHA/sorbitol-treated persisters on day 2, with marked decreases in the median mitochondrial–nuclear, mitochondrial–apicoplast, and nuclear-apicoplast distances relative to those of active ring-stage parasites (Fig. 5D; Dataset S1). Counts of the 4DS-treated persister organelle volumes reflected their diversity in size at day 5: the apicoplasts in 63 of 89 persisters were regularly oblate with volumes <0.5 µm3, whereas apicoplasts in the remaining 26 of 89 contained large, swollen apicoplasts having volumes >0.5 µm3. Taking these apicoplast measures together, the median volume was 0.14 µm3 (0.08–0.63 µm3), significantly higher than the control (P = 0.0015, Kruskal–Wallis test). The mitochondrial volumes of the 4DS-treated persisters were highly diverse, with a median mitochondrial volume of 0.71 µm3 (0.40–0.98 µm3), greater than median mitochondrial volume of active rings (P < 0.0001, Kruskal–Wallis test), but less than that of DHA/sorbitol-treated parasites on days 2 and 5. The median nuclear volume was not significantly different from that of the control (0.56 µm3 [0.38–0.74 µm3]; P = 0.1525, Kruskal–Wallis test) (Dataset S1).

By day 11, many of the 4DS-treated parasites were actively replicating, consistent with recrudescence from persisters. Ring stages and remaining persisters in the P2–P3 gating windows were collected and imaged. The apicoplasts and mitochondria in these collections exhibited oblate morphologies indistinguishable from those of untreated rings on day 2. The median apicoplast volume was 0.13 µm3 (0.09–0.17 µm3), the median mitochondrial volume was 0.23 µm3 (0.16–0.33 µm3), and the median mitochondrial–apicoplast distance was 0.41 µm (0.29–0.53 µm) (Fig. 5C and D; Dataset S1). The median nuclear volume on day 11 was larger than that of rings on day 2 (0.64 µm3 [0.46–0.78µm3]; P = 0.0003, Kruskal–Wallis test), but the median distances from nuclei to mitochondria (0.78 µm [0.56–0.96 µm]) and nuclei to the apicoplasts (0.90 µm [0.73–1.1 µm]) were not significantly different from those of the control (P > 0.9999 and P = 0.2543, respectively; Kruskal–Wallis test).

Discussion

In this study, we examined the morphology of the apicoplast organelle in P. falciparum blood-stage persisters obtained after exposure to DHA and sorbitol (DHA/sorbitol) or to sorbitol alone. In ASM images, the apicoplasts of many persisters appeared small and oblate, similar in size to the apicoplasts of active ring-stage parasites, while the apicoplasts of others were swollen and irregular in shape. The apicoplasts of all persisters localized near the enlarged and corrugated mitochondria previously described by Connelly et al. (28). After DHA/sorbitol exposure, the small oblate apicoplasts were observed more frequently than swollen forms on days 2 and 5, then the swollen forms predominated on day 11. On day 17, after exit from dormancy and recrudescence, a majority of actively replicating parasites were observed again, with small and oblate apicoplasts in the ring stages. The appearance and median volume of mitochondria were also normal in the active ring stages on day 17. In persisters obtained by daily sorbitol treatments for four consecutive days, the organelle changes were similar to those seen after the use of DHA/sorbitol, but earlier recrudescences occurred at days 10–13.

The apicoplast is a nonphotosynthetic organelle with important roles in the production of isoprenoids, fatty acids, iron–sulfur clusters, heme, and coenzyme A (38–40). It has also been tied to dormancy in blood stages of P. falciparum. The expression of several apicoplast-localized enzymes involved in fatty acid synthesis (FASII) and pyruvate metabolism was shown to be upregulated 2 days post-DHA treatment, despite generalized reductions in transcription and translation during dormancy (30, 41). Duvalsaint and Kyle (31) reported additional evidence for involvement of apicoplast lipid pathways from experiments showing that recrudescence after dormancy did not occur with parasites that had lost functional apicoplasts. Only upon addition of isopentenyl pyrophosphate, the most important apicoplast product, did the persisters without apicoplasts recover after antibiotic exposure. The same study found that treating persisters with gibberellic acid, a plant hormone that promotes emergence from seed dormancy and germination, caused early recrudescence, while treatment with an herbicide, fluridone, blocked recrudescence.

Reflecting on their evolutionary past, what additional features do Plasmodium parasites have in common with plants beyond the influence of plant hormones on dormancy? The apicoplasts of Plasmodium and Toxoplasma and chloroplasts of plants likely originated from the engulfment of cyanobacteria in primordial endosymbiotic events (42). Chloroplasts, which are major sources of ROS, are sensitive to abiotic stressors and act as barometers of cellular health in plants. Changes in chloroplast morphology and organelle associations often occur during stress. For instance, stromules, stroma-filled extensions of chloroplasts, can form to facilitate retrograde signaling to nuclei in Arabidopsis thaliana upon exposure to ROS (43, 44). Chloroplasts, mitochondria, and nuclei have been observed to move into close proximity to each other in cold-stressed leaf mesophyll cells of Arctic plants (18). Our results showing closer proximity between apicoplasts, mitochondria, and nuclei in P. falciparum persisters are analogous to the findings of organellar repositioning in dormant plant cells, in which such changes may facilitate prosurvival responses to stress (18, 23, 43, 44).

The enlarged apicoplasts in P. falciparum persisters after DHA/sorbitol or sorbitol exposure are reminiscent of the swollen chloroplasts of plant cells exposed to heat or cold stress, high intensity light, high salinity, or osmotic imbalances (45–48). Swollen chloroplasts of A. thaliana are less efficient in carrying out photosynthesis than their smaller, undamaged counterparts (49), and are ultimately degraded via chlorophagy mediated by ATG8 (22, 48). Interestingly, ATG8 localizes to the outer membrane of the apicoplast in Plasmodium and contributes to apicoplast biogenesis in blood and liver stages (50, 51). Overexpression of ATG8 in Plasmodium berghei merosomes leads to diffuse acyl carrier protein (ACP) staining indicative of a collapse in apicoplast integrity (52). In Toxoplasma gondii which, like P. falciparum, is an apicomplexan parasite and important human pathogen, conditional knock-out of the apicoplast-localized two-pore channel protein (TgTPC) resulted in enlarged, vacuolated apicoplasts, reduced inter-organelle communication between the apicoplast and endoplasmic reticulum, and a significant decline in parasite fitness (53). A more recent investigation of Toxoplasma bradyzoites, the persister forms of T. gondii responsible for chronic infections, indicated that the apicoplast is vital for long-term survival of bradyzoites. Interestingly, tissue cysts derived from mutant parasites with a nonfunctional dynamin-related protein (Drp) display enlarged, reticulated apicoplasts, and compromised persistence (54).

Parasite dormancy and recrudescence have been shown to occur irrespective of pfk13 genotype, and P. falciparum parasites from repeated recrudescences after ART exposures, in vivo or in vitro, presented with no acquired pfk13 mutations (33, 55). While recrudescent populations of the same response phenotype and genotype as the original population are characteristic of the dormancy phenomenon (56), it remains possible that dormancy may facilitate the acquisition of genetic mutations of drug resistance against ART or partner drugs of ACTs (57–59), analogously to the emergence of antibiotic resistance that has been described from persister cells in treated bacterial infections (60). In this regard, we note that selection of a PfK13 M476I mutation was reported from a Tanzanian isolate of P. falciparum after 30 cycles of ART pressure in vitro (61); however, no PfK13 mutations were obtained in two other long-term selection studies (62, 63) or in a separate study that identified mutations of the pfcoronin gene after 4 years of DHA pressure (64). In earlier studies of dormancy and parasite survival, Nakazawa et al. demonstrated recrudescences of P. falciparum populations treated with high levels of PYR, MEF, or sorbitol in vitro (9, 10) as well as recrudescences of P. berghei populations treated with CQ in vivo (15). Dormancy and recrudescence of P. falciparum erythrocytic stages have also been reported after exposure to atovaquone alone or in combination with proguanil (17) and, more recently, to CQ in vitro (16). Taken together, these recrudescences of genetically distinct P. falciparum lines after treatment with different chemical agents, irrespective of the presence or absence of drug resistance mutations, are strong evidence for erythrocytic-stage dormancy as an innate survival mechanism.

ACTs require lasting action from effective partner drugs to prevent recrudescences from persisters after the powerful yet short-lived action of ART is done. First proposed in 1984, the use of a partner drug was introduced to control RI-type failure rates of up to 50% after monotherapy with ART alone (3–6). Variable parasite clearance times were also described in patients who received ART monotherapy (7); however, careful studies found no associations between increased parasite clearance times and recrudescences or delayed resolutions of malaria fever after 2- to 7-day courses of monotherapy (7, 65–68)a. While the World Health Organization has defined “artemisinin partial resistance” to include a parasite clearance half-life >5 h after ART administration (72), there has been no confirmed evidence for progression from the original RI-phenotype to a RII or RIII level of clinical resistance (73) (see Ref. (58) for review). Several studies have highlighted the importance of an effective and durable partner drug to eliminate persisters after ART treatment. For example, in 2004, an International Artemisinin Study Group meta-analysis of CQ or amodiaquine in combination with AS (74) reported cure rates of 7–53% (28-day, PCR uncorrected) with the CQ-containing ACT in the Ivory Coast, Burkina Faso, and Sao Tome–Principe, whereas the PCR uncorrected rates for the amodiaquine-containing ACT were 68–85% in Kenya, Senegal, and Gabon. The combination of CQ with AS may have been compromised by a relative inability of CQ to kill the persisters (75), potential antagonism of CQ with AS (76), or emerging CQ resistance from the spread of PfCRT mutations in Africa (77). In Southeast Asia, piperaquine (PPQ) combined with DHA quickly failed due to resistance that resulted from more recent mutations in PfCRT (78–80). Similarly, antifolate mutations have compromised sulfadoxine-PYR (SP)-containing ACTs in regions of Africa, where alternative partner drugs such as lumefantrine or PPQ must now be used instead (81–84). Partner drugs able to efficiently prevent recrudescences from persisters remain critical, and treatment outcomes must be continually monitored for failures from mutant drug-resistant parasites.

Chloroplast swelling, vesiculation, and degradation with cell death are well-known responses to ROS and ROS-induced metabolites in a wide range of plant species (22). Could the various apicoplast morphologies we have described here reflect analogous responses that affect the survival of persisters? We note that ROS production is central to the action of ART, which uses an endoperoxide bridge to mediate parasite damage and death by generating free radicals that alkylate cellular components (85–88), and that ROS are involved in the toxicity of sorbitol to the cells of other systems (89–91). Considering the aberrant plastid morphologies that can occur in response to stressors in plants, Toxoplasma, and Plasmodium parasites (22, 45–49, 52, 53, 92–94), we speculate that swollen forms of the apicoplast may be associated with deterioration of the organelle and loss of persister viability. Sorting and characterization of persisters based on apicoplast morphology and mitochondrial activity paired with live-cell imaging and outgrowth experiments should help to uncover the fates of parasites with large and small apicoplasts. Elucidation of molecular mechanisms that govern organelle functions in dormancy may suggest new chemotherapeutic approaches to eliminate persisters and prevent recrudescences of malaria infections.

Materials and methods

Parasite cultivation

Plasmodium falciparum NF54 parasites expressing a codon-optimized variant of green fluorescent protein, called Super Folder Green (SFG), fused to the N terminus of the first 55 amino acids of ACP were used to visualize the apicoplast (32). Parasite growth and maintenance was supported as previously described (28). Leukocyte-depleted human erythrocytes delivered weekly (Interstate Blood Bank, Memphis, TN, USA) were washed three times with filtered incomplete RPMI 1640 (iRPMI, with 25 mM HEPES and 50 µg/mL hypoxanthine; KD Medical, Columbia, MD, USA) and stored at 50% hematocrit at 4 ˚C. Washed erythrocytes were used within a week of delivery and processing. Parasites were grown at 5% hematocrit, 37 ˚C, and a gas mixture of 90% N2, 5% CO2, and 5% O2 in complete RPMI culture medium (cRPMI) composed of iRPMI 1640 with 1% AlbuMax I (Life Technologies, Carlsbad, CA, USA), 0.21% sodium bicarbonate (KD Medical), and 20 µg/mL gentamicin (KD Medical). Parasitemia was monitored with Giemsa-stained thin blood smears and cultures were maintained below 5% parasitemia. Thin blood smears were fixed with 100% methanol (Sigma-Aldrich, St. Louis, MO, USA) and stained for 15 min in 20% Giemsa (Sigma-Aldrich; diluted in deionized water).

DHA treatment and osmotic removal of mature parasite stages

To obtain synchronized ring-stage parasites prior to DHA exposure, cultures were treated twice for 10 min with 10 mL of 5% D-sorbitol (Thermo Fisher Scientific, Ward Hill, MA, USA), 46 h apart. Each treatment occurred at room temperature, lasted 10 min, and was followed by one wash with iRPMI (95). Directly after the second sorbitol treatment, cultures were diluted to 2% parasitemia and 5% hematocrit at a total volume of 10 mL. A stock solution of 700 µM DHA (Sigma-Aldrich) dissolved in DMSO (Sigma-Aldrich) was diluted in cRPMI to treat parasites at a final concentration of 700 nM DHA/0.1% DMSO for 6 h at 37 ˚C. In parallel, a separate culture was treated with 0.1% DMSO diluted in culture medium as a control. Cells of both treatments were washed twice with cRPMI and returned to culture conditions. Blood smears were prepared prior to drug treatment and following the final wash. Twenty-four hours post-DHA, cells were subjected to 5% sorbitol for 30 min at 37 ˚C to eliminate mature parasites that survived DHA treatment. Simultaneously, cells that were exposed only to DMSO underwent a mock-sorbitol treatment with iRPMI. Following two washes with iRPMI, cells were returned to cRPMI under normal culture conditions.

DHA and sorbitol treatment and monitoring of cultured parasites for recrudescence

Parasite cultures were synchronized and treated with the vehicle control or DHA as described above. At 24, 48, and 72 h post-drug pulse, both DHA and vehicle-treated cultures were subjected to 10 mL of 5% sorbitol for 30 min at 37 ˚C, followed by two washes with iRPMI. The cells were returned to culture in new T25 flasks with complete medium following each treatment. After the last sorbitol treatment at 72 h, 200 µL of 50% hematocrit stock red blood cells were added to replenish those lost due to lysis. Media was changed daily, and 100 µL of 50% hematocrit stock red blood cells were added every third day. Recrudescence was monitored via daily thin blood smears until 2% parasitemia was reached.

Fluorescence-activated cell sorting

Two days (t = 50 h) after treatment with DHA/sorbitol or the vehicle control, 1 mL of culture was removed from each flask and centrifuged at 3,000 rpm. Pelleted cells were washed three times with wash buffer composed of filter-sterilized 1 × Hanks balanced salt solution (HBSS; Gibco, Ward Hill, MA, USA) and 2% fetal bovine serum (Gibco). Parasite DNA and mitochondria were stained using 2 µM Hoechst 33342 and 0.1 µM MitoTracker Deep Red FM (Invitrogen, Waltham, MA, USA). Staining, which occurred at 37 ˚C in the dark for 30 min, was followed by three wash steps in which cells were centrifuged and resuspended in 2 mL of wash buffer to remove excess stain.

Cells were sorted using the BD FACSAria Fusion fitted with a 70-micron nozzle, and gating was performed using the BD FACSDiva software (BD Biosciences, Franklin Lakes, NJ, USA) Samples underwent two sequential sorting steps, herein called the yield sort and purity sort. In the yield sort, Hoechst fluorescence was used to separate parasitized red blood cells from uninfected red blood cells. Infected red blood cells collected in the yield sort were further enriched based on increasing MitoTracker fluorescence intensity in the purity sort to distinguish between erythrocytes harboring persisters or active parasites. Persisters and active ring-stage parasites were collected into 5 mL polypropylene round-bottom tubes (Falcon) using a 4-way sorting method.

Gating strategies were validated by using collected cells to make cytospins. 50,000–150,000 cells from each gate were diluted in 100–150 µL of FACS wash buffer and added to Epredia cytofunnels (Fischer Scientific, Catalog No. 59-910-40, USA) with mounted microscope slides. The cytofunnels plus mounted microscope slides were centrifuged in the Cytospin 4 Cytocentrifuge (Epredia) for 5 min at 500 rpm. Funnels were removed and discarded, and the microscope slides were allowed to air-dry. Slides were then fixed in 100% methanol and stained in freshly prepared 20% Giemsa for 15 min.

ASM analysis

Cells collected from FACS were transferred to a 1.5 mL tube (Eppendorf) and centrifuged. The pellet was resuspended in 30–300 µL of residual wash buffer depending on the number of cells collected from FACS. Clear silicon gaskets (Grace Bio-Labs, Bend, Oregon) were placed in the wells of Lab-Tek chambered cover glass with No. 1 borosilicate glass bottoms (Thermo Fisher Scientific) to create microwells 3 mm in diameter. Ten microliters of 0.01% poly-L-lysine solution (Sigma-Aldrich) was added to each microwell, incubated at room temperature for 30 min, and washed twice with 10 µL of 1 × HBSS. Immediately after the second wash, 10–30 µL of the recovered cells were added to the poly-lysine coated microwells and incubated at room temperature for 30 min in the dark. Approximately, 1.5 mL of a 5-fold dilution of intracellular fixation buffer (Invitrogen; one part diluted into four parts by volume of 1× phosphate buffered saline pH 7.4) was added to each chamber, such that it covered the bottom of the chamber and microwells. Parafilm was used to cover the chambered cover glass before being stored at 4 ˚C in the dark.

Within 24 h of fixation, parasites and their organelles were imaged using the Zeiss 880 LSM with Airyscan equipped with a Zeiss plan apochromat 63 ×/1.4 numerical aperture oil immersion objective. Individual organelles were segmented from Airyscan-processed z-stacks covering the entire organelle volume using threshold values determined via the Otsu method in FIJI/ImageJ. Segmented images were then used to construct 3D surfaces in Imaris 9.7.2. Where there was ambiguous background signal, it was subtracted from the channel of interest to improve Otsu thresholding. Organelle volumes were obtained from constructed 3D surfaces, and inter-organelle distances were calculated as the distance between the centers of each surface.

Supplementary Material

pgae424_Supplementary_Data

Acknowledgments

We thank Jianbing Mu, Daniel Kiboi, Johannes S. P. Doehl, and Akshaykumar Nayak for discussions.

Notes

a

More recent reports have described regional associations pfk13 mutations with longer clearance times after ART treatment (69–71), but these reports do not address or challenge the findings of references (7, 65–68), nor do they provide evidence for pfk13 marker associations with greater recrudescence frequencies or prolonged fever that would indicate increased clinical resistance to the ART component of ACT.

Contributor Information

Chiara E Micchelli, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Caroline Percopo, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Maria Traver, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Joseph Brzostowski, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Shuchi N Amin, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Sean T Prigge, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.

Juliana M Sá, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Thomas E Wellems, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Supplementary Material

Supplementary material is available at PNAS Nexus online.

Funding

This work was supported by the NIAID Division of Intramural Research.

Author Contributions

Conceptualization, C.E.M., J.M.S., and T.E.W.; Data curation, C.E.M., C.P., J.M.S., and T.E.W.; Formal analysis, C.E.M., J.M.S., and T.E.W.; Investigation, C.E.M., C.P., S.N.A., and J.M.S.; Visualization, C.E.M., C.P., M.T., J.B., J.M.S., and T.E.W.; Methodology, C.E.M., C.P., M.T., J.B., S.N.A., S.T.P., J.M.S., and T.E.W.; Software, M.T. and J.B.; Writing—original draft, C.E.M. and T.E.W.; Writing—review and editing, C.E.M., C.P., M.T., J.B., S.N.A., S.T.P., J.M.S., and T.E.W.; Resources, J.B., S.T.P., and T.E.W.; Validation, J.M.S. and T.E.W.; Supervision, J.B., J.M.S., and T.E.W.; Project administration, T.E.W.; Funding acquisition, T.E.W.

Preprints

A preprint of this article was posted on the bioRxiv server at: https://doi.org/10.1101/2024.01.03.574077.

Data Availability

The 717 Airyscan-processed images collected and analyzed in this study are publicly available at Bioimages Archive repository (https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BIAD987). Organelle volume information and distance values with summary statistics are provided in Dataset S1 accompanying this report.

References

  • 1. Institute of Medicine (2004) Saving lives, buying time: economics of malaria drugs in an age of resistance. Institute of Medicine, Washington DC. [Google Scholar]
  • 2. World Health Organization (2022) WHO Guidelines for malaria (25 November 2022). Geneva (Switzerland): World Health Organization. Report No.: WHO/UCN/GMP/2022.01 Rev.3. [accessed 2023 Sep 13]. https://www.who.int/publications/i/item/guidelines-for-malaria.
  • 3. Li  GQ, Arnold  K, Guo  XB, Jian  HX, Fu  LC. 1984. Randomised comparative study of mefloquine, qinghaosu, and pyrimethamine-sulfadoxine in patients with falciparum malaria. Lancet. 2(8416):1360–1361. [DOI] [PubMed] [Google Scholar]
  • 4. Bunnag  D, Viravan  C, Looareesuwan  S, Karbwang  J, Harinasuta  T. 1991. Double blind randomised clinical trial of oral artesunate at once or twice daily dose in falciparum malaria. Southeast Asian J Trop Med Public Health. 22(4):539–543. [PubMed] [Google Scholar]
  • 5. Looareesuwan  S, et al.  1992. Randomised trial of artesunate and mefloquine alone and in sequence for acute uncomplicated falciparum malaria. Lancet. 339(8797):821–824. [DOI] [PubMed] [Google Scholar]
  • 6. Nguyen  DS, et al.  1993. Treatment of malaria in Vietnam with oral artemisinin. Am J Trop Med Hyg. 48(3):398–402. [PubMed] [Google Scholar]
  • 7. Li  GQ, Guo  XB, Fu  LC, Jian  HX, Wang  XH. 1994. Clinical trials of artemisinin and its derivatives in the treatment of malaria in China. Trans R Soc Trop Med Hyg. 88(Suppl 1):5–6. [DOI] [PubMed] [Google Scholar]
  • 8. Hoshen  MB, Na-Bangchang  K, Stein  WD, Ginsburg  H. 2000. Mathematical modelling of the chemotherapy of Plasmodium falciparum malaria with artesunate: postulation of ‘dormancy’, a partial cytostatic effect of the drug, and its implication for treatment regimens. Parasitology. 121:237–246. [DOI] [PubMed] [Google Scholar]
  • 9. Nakazawa  S, Kanbara  H, Aikawa  M. 1995. Plasmodium falciparum: recrudescence of parasites in culture. Exp Parasitol. 81(4):556–563. [DOI] [PubMed] [Google Scholar]
  • 10. Nakazawa  S, Maoka  T, Uemura  H, Ito  Y, Kanbara  H. 2002. Malaria parasites giving rise to recrudescence in vitro. Antimicrob Agents Chemother. 46(4):958–965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Nosten  F. 2010. Waking the sleeping beauty. J Infect Dis. 202(9):1300–1301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Teuscher  F, et al.  2010. Artemisinin-induced dormancy in Plasmodium falciparum: duration, recovery rates, and implications in treatment failure. J Infect Dis. 202(9):1362–1368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Witkowski  B, et al.  2010. Increased tolerance to artemisinin in Plasmodium falciparum is mediated by a quiescence mechanism. Antimicrob Agents Chemother. 54(5):1872–1877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Peatey  C, et al.  2021. Dormant Plasmodium falciparum parasites in human infections following artesunate therapy. J Infect Dis. 223(9):1631–1638. [DOI] [PubMed] [Google Scholar]
  • 15. Nakazawa  S. 2005. Plasmodium berghei NK65: studies on the effect of treatment duration and inoculum size on recrudescence. Exp Parasitol. 111(1):59–63. [DOI] [PubMed] [Google Scholar]
  • 16. Ursing  J, et al.  2022. Chloroquine-susceptible and -resistant Plasmodium falciparum strains survive high chloroquine concentrations by becoming dormant but are eliminated by prolonged exposure. J Antimicrob Chemother. 77(4):1005–1011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Thapar  MM, Gil  JP, Bjorkman  A. 2005. In vitro recrudescence of Plasmodium falciparum parasites suppressed to dormant state by atovaquone alone and in combination with proguanil. Trans R Soc Trop Med Hyg. 99(1):62–70. [DOI] [PubMed] [Google Scholar]
  • 18. Giełwanowska  I, Pastorczyk  M, Kellmann-Sopyła  W, Górniak  D, Górecki  RJ. 2015. Morphological and ultrastructural changes of organelles in leaf mesophyll cells of the Arctic and Antarctic plants of Poaceae family under cold influence. Arct Antarct Alp Res. 47(1):17–25. [Google Scholar]
  • 19. Penfield  S. 2017. Seed dormancy and germination. Curr Biol. 27(17):R874–R878. [DOI] [PubMed] [Google Scholar]
  • 20. Guzicka  M, Pawlowski  TA, Staszak  A, Rozkowski  R, Chmura  DJ. 2018. Molecular and structural changes in vegetative buds of Norway spruce during dormancy in natural weather conditions. Tree Physiol. 38(5):721–734. [DOI] [PubMed] [Google Scholar]
  • 21. Woodson  JD, Chory  J. 2008. Coordination of gene expression between organellar and nuclear genomes. Nat Rev Genet. 9(5):383–395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Woodson  JD. 2022. Control of chloroplast degradation and cell death in response to stress. Trends Biochem Sci. 47(10):851–864. [DOI] [PubMed] [Google Scholar]
  • 23. Desai  R, et al.  2020. Mitochondria form contact sites with the nucleus to couple prosurvival retrograde response. Sci Adv. 6(51):eabc9955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Shami  GJ, et al.  2021. Three-dimensional ultrastructure of giant mitochondria in human non-alcoholic fatty liver disease. Sci Rep. 11(1):3319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Kinoshita  Y, Kalir  T, Rahaman  J, Dottino  P, Kohtz  DS. 2012. Alterations in nuclear pore architecture allow cancer cell entry into or exit from drug-resistant dormancy. Am J Pathol. 180(1):375–389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Baron  M, et al.  2020. The stress-like cancer cell state is a consistent component of tumorigenesis. Cell Syst. 11(5):536–546.e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Marini  G, Nüske  E, Leng  W, Alberti  S, Pigino  G. 2020. Reorganization of budding yeast cytoplasm upon energy depletion. Mol Biol Cell. 31(12):1232–1245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Connelly  SV, et al.  2021. Restructured mitochondrial-nuclear interaction in Plasmodium falciparum dormancy and persister survival after artemisinin exposure. mBio. 12(3):e0075321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Janouskovec  J, Horák  A, Oborník  M, Lukes  J, Keeling  PJ. 2010. A common red algal origin of the apicomplexan, dinoflagellate, and heterokont plastids. Proc Natl Acad Sci U S A. 107(24):10949–10954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Chen  N, et al.  2014. Fatty acid synthesis and pyruvate metabolism pathways remain active in dihydroartemisinin-induced dormant ring stages of Plasmodium falciparum. Antimicrob Agents Chemother.  58(8):4773–4781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Duvalsaint  M, Kyle  DE. 2018. Phytohormones, isoprenoids and role of the apicoplast in recovery from dihydroartemisinin-induced dormancy of Plasmodium falciparum. Antimicrob Agents Chemother. 62(3):e01771–e01717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Swift  RP, et al.  2020. A mevalonate bypass system facilitates elucidation of plastid biology in malaria parasites. PLoS Pathog. 16(2):e1008316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Breglio  KF, Rahman  RS, Sá  JM, Roberts  DJ, Wellems  TE. 2018. Kelch mutations in Plasmodium falciparum protein K13 do not modulate dormancy after artemisinin exposure and sorbitol selection in vitro. Antimicrob Agents Chemother. 62(5):e02256–e02217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Lambros  C, Vanderberg  JP. 1979. Synchronization of Plasmodium falciparum erythrocytic stages in culture. J Parasitol. 65(3):418–420. [PubMed] [Google Scholar]
  • 35. Tucker  MS, Mutka  T, Sparks  K, Patel  J, Kyle  DE. 2012. Phenotypic and genotypic analysis of in vitro-selected artemisinin-resistant progeny of Plasmodium falciparum. Antimicrob Agents Chemother. 56(1):302–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Duffy  S, Avery  VM. 2017. Plasmodium falciparum in vitro continuous culture conditions: a comparison of parasite susceptibility and tolerance to anti-malarial drugs throughout the asexual intra-erythrocytic life cycle. Int J Parasitol Drugs Drug Resist. 7(3):295–302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Hopkins  J, et al.  1999. The plastid in Plasmodium falciparum asexual blood stages: a three-dimensional ultrastructural analysis. Protist. 150(3):283–295. [DOI] [PubMed] [Google Scholar]
  • 38. van Dooren  GG, Striepen  B. 2013. The algal past and parasite present of the apicoplast. Annu Rev Microbiol. 67:271–289. [DOI] [PubMed] [Google Scholar]
  • 39. Swift  RP, Rajaram  K, Liu  HB, Prigge  ST. 2021. Dephospho-CoA kinase, a nuclear-encoded apicoplast protein, remains active and essential after Plasmodium falciparum apicoplast disruption. EMBO J. 40(16):e107247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Elahi  R, Prigge  ST. 2023. New insights into apicoplast metabolism in blood-stage malaria parasites. Curr Opin Microbiol. 71:102255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Peatey  CL, et al.  2015. Mitochondrial membrane potential in a small subset of artemisinin-induced dormant Plasmodium falciparum parasites in vitro. J Infect Dis. 212(3):426–434. [DOI] [PubMed] [Google Scholar]
  • 42. Gould  SB, Waller  RF, McFadden  GI. 2008. Plastid evolution. Annu Rev Plant Biol. 59:491–517. [DOI] [PubMed] [Google Scholar]
  • 43. Brunkard  JO, Runkel  AM, Zambryski  PC. 2015. Chloroplasts extend stromules independently and in response to internal redox signals. Proc Natl Acad Sci U S A. 112(32):10044–10049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Mullineaux  PM, Exposito-Rodriguez  M, Laissue  PP, Smirnoff  N, Park  E. 2020. Spatial chloroplast-to-nucleus signalling involving plastid-nuclear complexes and stromules. Philos Trans R Soc Lond B Biol Sci. 375(1801):20190405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Kratsch  HA, Wise  RR. 2000. The ultrastructure of chilling stress. Plant Cell Environ. 23(4):337–350. [Google Scholar]
  • 46. Hasan  R, Ohnuki  Y, Kawasaki  M, Taniguchi  M, Miyake  H. 2005. Differential sensitivity of chloroplasts in mesophyll and bundle sheath cells in maize, an NADP-malic enzyme-type C₄ plant, to salinity stress. Plant Prod Sci. 8(5):567–577. [Google Scholar]
  • 47. Zhang  R, Wise  RR, Struck  KR, Sharkey  TD. 2010. Moderate heat stress of Arabidopsis thaliana leaves causes chloroplast swelling and plastoglobule formation. Photosynth Res. 105(2):123–134. [DOI] [PubMed] [Google Scholar]
  • 48. Nakamura  S, Hidema  J, Sakamoto  W, Ishida  H, Izumi  M. 2018. Selective elimination of membrane-damaged chloroplasts via microautophagy. Plant Physiol. 177(3):1007–1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Xiong  D, Huang  J, Peng  S, Li  Y. 2017. A few enlarged chloroplasts are less efficient in photosynthesis than a large population of small chloroplasts in Arabidopsis thaliana. Sci Rep. 7(1):5782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Jayabalasingham  B, et al.  2014. Characterization of the ATG8-conjugation system in 2 Plasmodium species with special focus on the liver stage: possible linkage between the apicoplastic and autophagic systems?  Autophagy. 10(2):269–284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Walczak  M, Ganesan  SM, Niles  JC, Yeh  E. 2018. ATG8 is essential specifically for an autophagy-independent function in apicoplast biogenesis in blood-stage malaria parasites. mBio. 9(1):e02021–e02017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Voss  C, et al.  2016. Overexpression of Plasmodium berghei ATG8 by liver forms leads to cumulative defects in organelle dynamics and to generation of noninfectious merozoites. mBio. 7(3):e00682–e00616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Li  ZH, et al.  2021. A plastid two-pore channel essential for inter-organelle communication and growth of Toxoplasma gondii. Nat Commun. 12(1):5802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Sanchez  SG, et al.  2023. The apicoplast is important for the viability and persistence of Toxoplasma gondii bradyzoites. Proc Natl Acad Sci U S A. 120(34):e2309043120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Sá  JM, et al.  2018. Artemisinin resistance phenotypes and K13 inheritance in a Plasmodium falciparum cross and Aotus model. Proc Natl Acad Sci U S A. 115(49):12513–12518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Ittarat  W, et al.  2003. Recrudescence in artesunate-treated patients with falciparum malaria is dependent on parasite burden not on parasite factors. Am J Trop Med Hyg. 68(2):147–152. [PubMed] [Google Scholar]
  • 57. Barrett  MP, Kyle  DE, Sibley  LD, Radke  JB, Tarleton  RL. 2019. Protozoan persister-like cells and drug treatment failure. Nat Rev Microbiol. 17(10):607–620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Wellems  TE, Sá  JM, Su  X-z, Connelly  SV, Ellis  AC. 2020. ‘Artemisinin resistance’: something new or old? Something of a misnomer?  Trends Parasitol. 36(9):735–744. [DOI] [PubMed] [Google Scholar]
  • 59. Tarannum  A, Rodriguez-Almonacid  CC, Salazar-Bravo  J, Karamysheva  ZN. 2023. Molecular mechanisms of persistence in protozoan parasites. Microorganisms. 11(9):2248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Fisher  RA, Gollan  B, Helaine  S. 2017. Persistent bacterial infections and persister cells. Nat Rev Microbiol. 15(8):453–464. [DOI] [PubMed] [Google Scholar]
  • 61. Ariey  F, et al.  2014. A molecular marker of artemisinin-resistant Plasmodium falciparum malaria. Nature. 505(7481):50–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Rocamora  F, et al.  2018. Oxidative stress and protein damage responses mediate artemisinin resistance in malaria parasites. PLoS Pathog. 14(3):e1006930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. De Lucia  S, et al.  2018. Induction of high tolerance to artemisinin by sub-lethal administration: a new in vitro model of P. falciparum. PLoS One. 13(1):e0191084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Demas  AR, et al.  2018. Mutations in Plasmodium falciparum actin-binding protein coronin confer reduced artemisinin susceptibility. Proc Natl Acad Sci U S A. 115(50):12799–12804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Batty  KT, et al.  1998. A pharmacokinetic and pharmacodynamic study of intravenous vs oral artesunate in uncomplicated falciparum malaria. Br J Clin Pharmacol. 45(2):123–129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Dondorp  AM, et al.  2009. Artemisinin resistance in Plasmodium falciparum malaria. N Engl J Med. 361(5):455–467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Bethell  D, et al.  2011. Artesunate dose escalation for the treatment of uncomplicated malaria in a region of reported artemisinin resistance: a randomized clinical trial. PLoS One. 6(5):e19283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Saunders  D, et al.  2012. Pharmacokinetics and pharmacodynamics of oral artesunate monotherapy in patients with uncomplicated Plasmodium falciparum malaria in western Cambodia. Antimicrob Agents Chemother. 56(11):5484–5493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Ashley  EA, et al.  2014. Spread of artemisinin resistance in Plasmodium falciparum malaria. N Engl J Med. 371(5):411–423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Miotto  O, et al.  2015. Genetic architecture of artemisinin-resistant Plasmodium falciparum. Nat Genet. 47(3):226–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. WWARN K13 Genotype-Phenotype Study Group . 2019. Association of mutations in the Plasmodium falciparum Kelch13 gene (Pf3D7_1343700) with parasite clearance rates after artemisinin-based treatments-a WWARN individual patient data meta-analysis. BMC Med. 17(1):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. World Health Organization (2022) Malaria: artemisinin partial resistance. Geneva: World Health Organization. [accessed 2024 Feb 6]. https://www.who.int/news-room/questions-and-answers/item/artemisinin-resistance. [Google Scholar]
  • 73. World Health Organization (1967) Chemotherapy of malaria: report of a WHO scientific group. Geneva (Switzerland): World Health Organization. Report No.: Technical Report Series No. 375. [accessed 2020 May 20]. http://apps.who.int/iris/bitstream/handle/10665/40671/WHO_TRS_375.pdf.
  • 74. Adjuik  M, et al.  2004. Artesunate combinations for treatment of malaria: meta-analysis. Lancet. 363(9402):9–17. [DOI] [PubMed] [Google Scholar]
  • 75. Reyser  T, et al.  2020. Identification of compounds active against quiescent artemisinin-resistant Plasmodium falciparum parasites via the quiescent-stage survival assay (QSA). J Antimicrob Chemother. 75(10):2826–2834. [DOI] [PubMed] [Google Scholar]
  • 76. Stahel  E, Druilhe  P, Gentilini  M. 1988. Antagonism of chloroquine with other antimalarials. Trans R Soc Trop Med Hyg. 82(2):221. [DOI] [PubMed] [Google Scholar]
  • 77. Wellems  TE, Plowe  CV. 2001. Chloroquine-resistant malaria. J Infect Dis. 184(6):770–776. [DOI] [PubMed] [Google Scholar]
  • 78. Saunders  DL, et al.  2014. Dihydroartemisinin-piperaquine failure in Cambodia. N Engl J Med. 371(5):484–485. [DOI] [PubMed] [Google Scholar]
  • 79. Chaorattanakawee  S, et al.  2015. Ex vivo drug susceptibility testing and molecular profiling of clinical Plasmodium falciparum isolates from Cambodia from 2008 to 2013 suggest emerging piperaquine resistance. Antimicrob Agents Chemother. 59(8):4631–4643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Ross  LS, et al.  2018. Emerging Southeast Asian PfCRT mutations confer Plasmodium falciparum resistance to the first-line antimalarial piperaquine. Nat Commun. 9(1):3314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Warsame  M, et al.  2015. Treatment of uncomplicated malaria with artesunate plus sulfadoxine-pyrimethamine is failing in Somalia: evidence from therapeutic efficacy studies and Pfdhfr and Pfdhps mutant alleles. Trop Med Int Health. 20(4):510–517. [DOI] [PubMed] [Google Scholar]
  • 82. Adeel  AA, et al.  2016. High efficacy of artemether-lumefantrine and declining efficacy of artesunate + sulfadoxine-pyrimethamine against Plasmodium falciparum in Sudan (2010–2015): evidence from in vivo and molecular marker studies. Malar J. 15(1):285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Warsame  M, et al.  2019. High therapeutic efficacy of artemether-lumefantrine and dihydroartemisinin-piperaquine for the treatment of uncomplicated falciparum malaria in Somalia. Malar J. 18(1):231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Marwa  K, et al.  2022. Therapeutic efficacy of artemether-lumefantrine, artesunate-amodiaquine and dihydroartemisinin-piperaquine in the treatment of uncomplicated Plasmodium falciparum malaria in Sub-Saharan Africa: a systematic review and meta-analysis. PLoS One. 17(3):e0264339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Asawamahasakda  W, Ittarat  I, Pu  YM, Ziffer  H, Meshnick  SR. 1994. Reaction of antimalarial endoperoxides with specific parasite proteins. Antimicrob Agents Chemother. 38(8):1854–1858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Meshnick  SR. 2002. Artemisinin: mechanisms of action, resistance and toxicity. Int J Parasitol. 32(13):1655–1660. [DOI] [PubMed] [Google Scholar]
  • 87. Jefford  CW. 2001. Why artemisinin and certain synthetic peroxides are potent antimalarials. Implications for the mode of action. Curr Med Chem. 8(15):1803–1826. [DOI] [PubMed] [Google Scholar]
  • 88. Wang  J, et al.  2015. Haem-activated promiscuous targeting of artemisinin in Plasmodium falciparum. Nat Commun. 6:10111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Monetti  E, et al.  2014. Deciphering early events involved in hyperosmotic stress-induced programmed cell death in tobacco BY-2 cells. J Exp Bot. 65(5):1361–1375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Aquilano  K, et al.  2007. Reactive oxygen and nitrogen species are involved in sorbitol-induced apoptosis of human erithroleukaemia cells K562. Free Radic Res. 41(4):452–460. [DOI] [PubMed] [Google Scholar]
  • 91. Srikanth  KK & Orrick  JA (2023) Biochemistry, polyol or sorbitol pathways. StatPearls Publishing. [accessed 2023 Oct 4]. https://www.ncbi.nlm.nih.gov/books/NBK576381/. [PubMed] [Google Scholar]
  • 92. Tawk  L, et al.  2011. Phosphatidylinositol 3-monophosphate is involved in toxoplasma apicoplast biogenesis. PLoS Pathog. 7(2):e1001286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Yeh  E, DeRisi  JL. 2011. Chemical rescue of malaria parasites lacking an apicoplast defines organelle function in blood-stage Plasmodium falciparum. PLoS Biol. 9(8):e1001138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Daher  W, et al.  2015. Lipid kinases are essential for apicoplast homeostasis in Toxoplasma gondii. Cell Microbiol. 17(4):559–578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Kite  WA, Melendez-Muniz  VA, Barros  RRM, Wellems  TE, Sa  JM. 2016. Alternative methods for the Plasmodium falciparum artemisinin ring-stage survival assay with increased simplicity and parasite stage-specificity. Malar J. 15:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Park  H, et al. (2018) Heterogeneous timing of asexual cycles in Plasmodium falciparum quantified by extended time-lapse microscopy. bioRxiv 344812. 10.1101/344812, 24 April 2020, preprint: not peer reviewed. [DOI]

Associated Data

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

Supplementary Materials

pgae424_Supplementary_Data

Data Availability Statement

The 717 Airyscan-processed images collected and analyzed in this study are publicly available at Bioimages Archive repository (https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BIAD987). Organelle volume information and distance values with summary statistics are provided in Dataset S1 accompanying this report.


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