Abstract
Host iron deficiency is protective against severe malaria as the human malaria parasite Plasmodium falciparum depends on bioavailable iron from its host to proliferate. The essential pathways of iron acquisition, storage, export, and detoxification in the parasite differ from those in humans, as orthologs of the mammalian transferrin receptor, ferritin, or ferroportin, and a functional heme oxygenase are absent in P. falciparum. Thus, the proteins involved in these processes may be excellent targets for therapeutic development, yet remain largely unknown. Here, we show that parasites cultured in erythrocytes from an iron-deficient donor displayed significantly reduced growth rates compared to those grown in red blood cells from healthy controls. Sequencing of parasite RNA revealed diminished expression of genes involved in overall metabolism, hemoglobin digestion, and metabolite transport under low-iron versus control conditions. Supplementation with hepcidin, a specific ferroportin inhibitor, resulted in increased labile iron levels in erythrocytes, enhanced parasite replication, and transcriptional upregulation of genes responsible for merozoite motility and host cell invasion. Through endogenous GFP tagging of differentially expressed putative transporter genes followed by confocal live-cell imaging, proliferation assays with knockout and knockdown lines, and protein structure predictions, we identified six proteins that are likely required for ferrous iron transport in P. falciparum. Of these, we localized PfVIT and PfZIPCO to cytoplasmic vesicles, PfMRS3 to the mitochondrion, and the novel putative iron transporter PfE140 to the plasma membrane for the first time in P. falciparum. PfNRAMP/PfDMT1 and PfCRT were previously reported to efflux Fe2+ from the digestive vacuole. Our data support a new model for parasite iron homeostasis, in which PfE140 is involved in iron uptake across the plasma membrane, PfMRS3 ensures non-redundant Fe2+ supply to the mitochondrion as the main site of iron utilization, PfVIT transports excess iron into cytoplasmic vesicles, and PfZIPCO exports Fe2+ from these organelles in case of iron scarcity. These results provide new insights into the parasite’s response to differential iron availability in its environment and into the mechanisms of iron transport in P. falciparum as promising candidate targets for future antimalarial drugs.
1 Introduction
Iron is an essential micronutrient for all living organisms and has been associated with virulence of many pathogens. Iron abundance increases the replication of human immunodeficiency virus (HIV) () and Mycobacterium tuberculosis (Zhang et al., 2020), and promotes biofilm formation in Pseudomonas aeruginosa (Kang and Kirienko, 2018). A “fight for iron” has been described between bacteria and the human host in the gastrointestinal tract (Sousa Gerós et al., 2020), where the metal skews the composition of the gut microbiome by facilitating the growth of enteropathogenic Escherichia coli and Salmonella (Paganini and Zimmermann, 2017). Similarly, cancer cells require more iron compared to healthy cells () and higher ferritin levels in individuals diagnosed with COVID-19 were associated with increased disease severity and lethality (Taneri et al., 2020).
Host iron deficiency is known to be protective against severe malaria (Nyakeriga et al., 2004; Gwamaka et al., 2012; ; ) and iron chelators have cytocidal effects on the human malaria parasite Plasmodium falciparum (Thipubon et al., 2015). This obligate intracellular parasite depends on bioavailable iron for its proliferation and relies entirely on the host to meet its nutrient requirements (Scholl et al., 2005). Furthermore, P. falciparum senses environmental fluctuations (; Mancio-Silva et al., 2017; ) and modulates its virulence in response (Mancio-Silva et al., 2017). While iron is crucial for DNA replication and repair, mitochondrial electron transport, and redox regulation, it becomes toxic when in excess, as it is a source of damaging reactive oxygen species (Sigala and Goldberg, 2014). Importantly for therapeutic development, the mechanisms of iron acquisition, storage, detoxification, and export in the parasite are different from those in humans, as orthologs of the mammalian transferrin receptor, ferritin, or ferroportin, and a functional heme oxygenase are absent in Plasmodium (Mach and Sutak, 2020).
While human blood plasma contains between 10 and 30 µM total iron and an erythrocyte carries approximately 20 mM Fe (), only 3 µM labile iron is present in the cytosol of uninfected red blood cells, and 1.6 µM in P. falciparum-infected ones (Loyevsky et al., 1999). An estimated total iron concentration of 500 mM () is reached within the parasite’s digestive vacuole (DV), where iron-containing hemoglobin (Hb) is digested and the released heme is detoxified by biocrystallization into hemozoin (Wunderlich et al., 2012). However, P. falciparum cannot access this iron source and is thought to acquire bioavailable Fe2+ from the host cell (Kloehn et al., 2020). Over-elevated ferrous iron levels likely compromise the integrity of the DV membrane and cytosolic iron also needs to be regulated to prevent oxidative stress (Mach and Sutak, 2020). Iron detoxification in the parasite can be achieved by translocating the metal ion into dynamic intracellular Fe2+ stores, which may include acidocalcisomes – cytoplasmic vesicles that contain high concentrations of phosphate, calcium, iron, and zinc (Huang et al., 2014). In contrast to Trypanosoma brucei (Huang et al., 2014), no transport proteins have yet been experimentally shown to localize to the acidocalcisome membrane in P. falciparum (Magowan et al., 1997; Ruiz et al., 2004). Like the DV, these organelles are thought to be acidified by the plant-like V-ATPase and their low internal pH may fuel secondary active transport processes (Wunderlich et al., 2012; ).
P. falciparum encodes approximately 200 transmembrane or membrane-associated transport proteins (channels, pores, carriers, and pumps), many of which are essential for parasite growth and lack human homologs (Wunderlich, 2022). For instance, the vacuolar iron transporter PfVIT (PF3D7_1223700), an ortholog of Arabidopsis thaliana VIT1 (expect value (E) = 5 x 10-29, 30.5% identity, 87% coverage, as determined by position-specific iterated BLAST ()), is a Fe2+/H+ exchanger that plays a role in iron detoxification (Slavic et al., 2016; Labarbuta et al., 2017; Sharma et al., 2021). While its orthologs were localized to the endoplasmic reticulum in Plasmodium berghei (Slavic et al., 2016) and to the vacuolar compartment in Toxoplasma gondii (), the subcellular localization in P. falciparum had not been investigated experimentally prior to this study. Similarly, the Zrt-, Irt-like protein domain-containing protein (ZIPCO) was suggested to import Fe2+ and Zn2+ into the cytosol and localized to the parasite plasma membrane (PPM) in P. berghei sporozoites in indirect immunofluorescence assays (Sahu et al., 2014), but PfZIPCO (ZIP domain-containing protein, PF3D7_1022300) had not been studied yet. The chloroquine resistance transporter PfCRT (PF3D7_0709000) and the natural resistance-associated macrophage protein PfNRAMP (PF3D7_0523800, also called PfDMT1 for divalent metal transporter 1, although this abbreviation is already in use for the drug/metabolite transporter 1) have been detected at the digestive vacuolar (DV) membrane (Waller et al., 2003; Wichers et al., 2022). Both proteins were proposed to export Fe2+ into the cytosol in symport with protons on the basis of transport assays using Xenopus oocytes () and proliferation assays with a conditional knockdown line under different iron conditions (Loveridge and Sigala, 2024), respectively.
In Saccharomyces cerevisiae, a model organism for eukaryotic iron homeostasis, the mitochondrial carrier protein MRS3 (mitochondrial RNA-splicing protein 3) was shown to ensure Fe2+ supply to the mitochondrion (Mühlenhoff et al., 2003; Froschauer et al., 2009; ) and its ortholog TgMIT (mitochondrial iron transporter) was detected at the same organelle in T. gondii (). The mitochondrion of P. falciparum is also the focal point for cellular iron metabolism and contains iron-dependent proteins implicated in the biosynthesis of heme and iron-sulfur clusters, redox reactions, and electron transport (Mach and Sutak, 2020). Because of sequence similarity (35.1% identity with the yeast ortholog, E = 3 x 10-14, 26% coverage), it was proposed that PfMRS3 (also known as mitoferrin (PfMFRN), PF3D7_0905200) mediates Fe2+ import into the mitochondrion in P. falciparum (Mather et al., 2007). However, no experimental evidence was collected and it is known that not only the localization but also the structure and function of homologous proteins can vary in related apicomplexan parasites (Mather et al., 2007; Sloan et al., 2021).
Despite the importance of iron for P. falciparum virulence, the fundamental understanding of the molecular mechanisms of iron sensing, acquisition, utilization, and regulation in the parasite remains limited. The goal of this exploratory study was to dissect how the parasite responds to differences in iron availability in its environment and to identify putative iron transporters as potential new antimalarial drug targets. We investigated growth and gene expression of the laboratory P. falciparum strain 3D7 under control (iron-replete), high-iron and low-iron conditions, and in the presence of the iron-regulatory peptide hormone hepcidin. In the human body, hepcidin is produced to reduce the concentration of serum iron when it rises above a certain threshold. The hormone binds specifically to ferroportin on the surface of many cell types including erythrocytes (Zhang et al., 2018) and can sterically inhibit the transporter’s iron export activity, thereby increasing intracellular and decreasing serum iron levels (; ). Here, whole-transcriptome sequencing was used to identify putative iron transport proteins on the basis of differential gene expression patterns between high vs. low-iron conditions. We then characterized these proteins by analyzing their subcellular localization in live parasites, their predicted 3D structures, and the growth rates of the respective knockout or knockdown parasite lines under various iron conditions.
2 Materials and methods
2.1 P. falciparum culture and proliferation assays
The P. falciparum strain 3D7 was cultured according to modified standard procedures (Trager and Jensen, 1976) at 5% hematocrit using human 0 Rh+ erythrocytes from the University Medical Center Hamburg-Eppendorf (UKE), Germany, at 1% O2, 5% CO2 and 94% N2. RPMI 1640 medium was supplemented with 0.5% (w/v) AlbuMAX II, 20 µg/mL gentamicin and 100 µM hypoxanthine (Thermo Fisher Scientific). Mature schizonts were obtained by treating schizonts at 40 hours post invasion (hpi) with 1 mM compound 2 (4-[7-[(dimethylamino)methyl]-2-(4-fluorphenyl)imidazo[1,2-α]pyridine-3-yl]pyrimidin-2-amine, LifeArc) for 8 h. To count the number of merozoites per mature schizont, Giemsa-stained blood smears were analyzed by light microscopy. Only single-infected cells with one digestive vacuole were taken into account.
To assess parasite proliferation over six days, a previously described assay on the basis of flow cytometry was employed (Malleret et al., 2011). Parasites were synchronized to a 3-h age window by isolating late schizonts from a 60% Percoll (GE Healthcare) gradient and culturing these for 3 h with fresh erythrocytes (Rivadeneira et al., 1983), followed by controlled elimination of advanced parasite stages using 5% (w/v) D-sorbitol (Carl Roth) for 10 min at 37°C (Lambros and Vanderberg, 1979). The growth assay was started at 0.1% parasitemia using the resulting ring-stage parasites at 0 – 3 hpi. The parasitemia was determined at the trophozoite stage every two days by flow cytometry and culture media with the respective supplements were exchanged daily.
2.2 Flow cytometry
To determine parasitemia, 20 µL of resuspended parasite culture was added to 80 μL culture medium and stained with 5 μg/mL SYBR Green I (Thermo Fisher Scientific) and 4.5 μg/mL dihydroethidium (DHE, Sigma-Aldrich) in the dark for 20 min at room temperature. Stained cells were washed with PBS three times and analyzed with an ACEA NovoCyte flow cytometer and NovoExpress Software (version 1.6.1, Agilent). Forward and side scatter gating was used to identify erythrocytes and SYBR Green I fluorescence intensity to determine the number of parasitized cells per 100,000 events recorded for each replicate. For Phen Green SK measurements, uninfected erythrocytes were washed with PBS and incubated with 10 µM Phen Green SK in PBS at 37°C for 60 min. DHE at 4.5 μg/mL was added during the last 20 min of incubation. After three washes with PBS, the cells were analyzed as described above.
2.3 Sample collection for RNA extraction and RNA sequencing
Parasites were synchronized to a three-hour window after invasion of erythrocytes from the respective donor as described above. Samples for RNA-sequencing were prepared in triplicate for each condition and time point, i.e., three separate parasite cultures each were grown in parallel for a total of at least two weeks. During the second IDC, two 10-mL dishes each were harvested for parasites at the ring stage (6 – 9 hpi) and one 10-mL dish each for trophozoites (26 – 29 hpi). Samples were collected by centrifuging the culture for 5 min at 800 g and 37°C and dissolving the erythrocyte pellet using 5 mL TRIzol (ThermoFisher Scientific) prewarmed to 37°C, followed by immediate transfer to -80°C for storage. The parasitemia was 0.3% at the start of the experiments with high, control and low-iron donor blood and 2 – 3% at the time of harvest. Parasite cultures treated with 0.7 µM hepcidin (Bachem) had a starting parasitemia of 0.6% and untreated cultures 1% to reach a parasitemia of 4 – 5% during the second cycle. For each experiment, the parasitemia was kept consistent at the point of harvest as high parasite densities can affect transcription ().
For RNA extraction, the samples frozen in TRIzol were thawed, mixed thoroughly with 0.1 volume cold chloroform, and incubated at room temperature for 3 min. Following centrifugation at 20,000 g and 4°C for 30 min, the supernatants were transferred to fresh vials and combined with 70% ethanol of equal volume. RNA was purified using the RNeasy MinElute Kit (Qiagen) by on-column DNase I digest for 30 min and elution with 14 µL water. The GLOBINclear Human Kit (ThermoFisher Scientific) was then employed to deplete human globin mRNA in all samples. The Qubit RNA HS Assay Kit and Qubit 3.0 fluorometer (ThermoFisher Scientific) were used for RNA quantification. Upon arrival at the EMBL Genomics Core Facility (GeneCore Heidelberg, Germany), the RNA quality of each sample was evaluated using the RNA 6000 Nano kit and Bioanalyzer 2100 (Agilent). The median RNA integrity number (RIN) of all samples was 7.30 (IQR: 6.85 – 8.15, Supplementary Figure S1). Individually barcoded strand-specific libraries for mRNA sequencing were prepared from total RNA samples of high quality (approximately 150 ng per sample) using the NEBNext® RNA Ultra II Directional RNA Library Prep Kit (New England Biolabs) for 12 PCR cycles on the liquid handler Biomek i7 (Beckman Coulter) at GeneCore. Libraries that passed quality control were pooled in equimolar amounts, and a 2 pM solution of this pool was sequenced unidirectionally on a NextSeq® 500 System (Illumina) at GeneCore, resulting in about 500 million reads of 85 bases each.
2.4 RNA-sequencing read mapping and data analysis
Following successful initial quality control of the RNA-sequencing reads with FastQC version 0.11.8 (), sequencing adapters were trimmed using Cutadapt version 2.10 (Martin, 2011). A genome index was generated using the FASTA sequence file of the P. falciparum 3D7 genome release 46 (PlasmoDB-46_Pfalciparum3D7_Genome.fasta) and the GFF3 annotation file (PlasmoDB-46_Pfalciparum3D7.gff), both obtained from PlasmoDB (), with STAR version 2.7.5c (). The same R package was used to align reads to the genome with a maximum of three allowed mismatches (–outFilterMismatchNmax 3). To consolidate the results obtained with FastQC and STAR alignments, a single report file was created using MultiQC version 1.9 ().
The mapped reads were then summarized in Sequence Alignment/Map (SAM) format using featureCounts (Liao et al., 2014) from the R package Rsubread version 2.2.1 (Liao et al., 2013). For counting mapped reads per gene using featureCounts, fragments with a minimum length of 50 bases were considered (minFragLength = 50). Therefore, gene IDs and lengths of transcripts were extracted from PlasmoDB-46_Pfalciparum3D7_AnnotatedTranscripts.fasta with SAMtools faidx version 1.10.2 (Li et al., 2009). The R package edgeR 3.30.3 (Robinson et al., 2010) was used to compute RPKM values (reads per kilobase per million mapped reads) and for differential gene expression analysis. Gene annotations were retrieved from PlasmoDB () and PhenoPlasm (Sanderson and Rayner, 2017). The results of these analyses were visualized with volcano plots using the R package Enhanced Volcano version 1.15.0 (). The raw and processed data (FASTA files, RPKM values and results of the differential gene expression analysis) can be accessed at https://www.ebi.ac.uk/biostudies/studies/E-MTAB-13411.
The highly polymorphic var, stevor, and rifin gene families were excluded from downstream analyses because of their great sequence diversity between parasites of the same strain during mitotic growth (; Kidgell et al., 2006). Genes that were significantly regulated (defined as P < 0.05 according to the exact test for the negative binomial distribution with Benjamini-Hochberg correction () and an absolute value of log2 FC ≥ 0.2) were subjected to functional enrichment analysis with g:Profiler (https://biit.cs.ut.ee/gprofiler/gost (Raudvere et al., 2019), accessed on August 17, 2022). The resulting GO, KEGG and REAC terms were summarized using REVIGO (http://revigo.irb.hr/) with the similarity value set to 0.5 (Supek et al., 2011) and visualized as in Thomson-Luque et al (Thomson-Luque et al., 2021) using the scientific color map “roma” (). To estimate parasite age, an algorithm developed by Avi Feller and Jacob Lemieux (Lemieux et al., 2009) was adapted to use expression data from Broadbent et al () with the time points 6, 14, 20, 24, 28, 32, 36, 40, 44, and 48 hpi as reference. The code and data used were deposited to Zenodo with the record ID 7996302 (https://zenodo.org/record/7996302).
2.5 Cloning of DNA constructs
For generating the GFP reporter lines, a homologous region of approximately 800 base pairs (bp) at the 3’ end of the respective gene was amplified without the stop codon from 3D7 gDNA using Phusion high fidelity DNA polymerase (New England Biolabs). A homology region of about 400 bp at the 5’ end of the respective gene was used for targeted gene disruption. The fragments were then inserted into pSLI-GFP () using NotI and AvrII restriction sites. For glmS constructs, pSLI-GFP-glmS () was used as a vector instead. All oligonucleotides and plasmids used in this study are listed in Supplementary Table S3.
2.6 Transfection of P. falciparum
As described previously (Moon et al., 2013), parasites at the late schizont stage were purified using 60% Percoll (Rivadeneira et al., 1983) and electroporated with 50 μg DNA of the respective plasmid in a 0.2-cm gap cuvette (Bio-Rad Laboratories) using Amaxa Nucleofector 2b (Lonza). Either 4 nM WR99210 (Jacobus Pharmaceuticals) or 2 μg/mL blasticidin S (Life Technologies) was used for selecting transfectants. For the selection of parasites that were genomically modified using the SLI system (), 400 μg/mL G418 (ThermoFisher Scientific) was added to the culture medium once the parasitemia reached 5%. After the selection of modified parasites, genomic DNA was isolated with the QIAamp DNA Mini Kit (Qiagen) and diagnostic tests for correct integration into the genome were performed as specified earlier ().
2.7 Confocal live-cell microscopy
Erythrocytes infected with parasites at different stages at 3 – 6% parasitemia were incubated in culture medium with 20 nM MitoTracker Red, 200 nM ER Tracker Red or 100 nM LysoTracker Deep Red (Invitrogen, if applicable) at 37°C for 20 min. Then, 200 nM Hoechst-33342 (Invitrogen) was added for 10 min prior to washing the cells with Ringer’s solution (122.5 mM NaCl, 5.4 mM KCl, 1.2 mM CaCl2, 0.8 mM MgCl2, 11 mM D-glucose, 25 mM HEPES, 1 mM NaH2PO4, pH 7.4) prewarmed to 37°C and seeding on a chambered No. 1.5 polymer cover slip (Ibidi). After 5 min, unbound erythrocytes were removed by washing with Ringer’s solution and the sample was placed into an incubation chamber that maintained the microscope work area including the objective at 37°C. Images and videos were acquired using an SP8 confocal microscope system with a 63x oil-corrected lens (C-Apochromat, numerical aperture = 1.4) and Lightning deconvolution software (Leica), and processed using ImageJ version 2.9.0/1.53t (Schindelin et al., 2012). If fluorescence intensities were to be quantified, no averaging or deconvolution software was applied.
2.8 Conditional knockdown mediated by glmS ribozyme
For glmS-based knockdown induction (Prommana et al., 2013), highly synchronous parasites at the early ring stage were cultured with or without supplementation with 2.5 mM glucosamine (GlcN, Sigma-Aldrich). The knockdown was quantified by confocal live-cell microscopy using schizonts 36 h post GlcN treatment initiation. Images of parasites of similar size were acquired with the same settings and background-corrected fluorescence intensities (integrated density) as well as the size of the region of interest were determined using ImageJ version 2.9.0/1.53t (Schindelin et al., 2012), and the data visualized using Graph Pad Prism version 9.4.1.
2.9 Protein structure prediction
Structure predictions for monomeric proteins were obtained from AlphaFold Protein Structure Database version 3 (Jumper et al., 2021; Varadi et al., 2022) and homodimeric proteins were predicted using AlphaFold2-multimer version 2.2.2, database version 2.2.0 () deployed at the EMBL Hamburg computer cluster. Molecular visualization was performed with UCSF ChimeraX version 1.3 (Goddard et al., 2018). UCSF Chimera MatchMaker and Match → Align tools with default settings were used for structural comparison of the predicted structures of P. falciparum proteins with putative orthologs and sequence alignments were generated using the Match → Align tool (Meng et al., 2006). The DeepFRI server (https://beta.deepfri.flatironinstitute.org) was used to identify possible functional residues with the DeepFRI graph convolutional network (Gligorijević et al., 2021).
3 Results
3.1 Elevated erythrocyte labile iron levels promote P. falciparum proliferation in vitro
To investigate whether labile iron levels in the erythrocyte correlate with parasite replication rates, we established different iron conditions in vitro. The first approach was to culture P. falciparum 3D7 parasites in 0 Rh+ erythrocytes from voluntary blood donations by Caucasians aged 18 to 21 at the University Medical Center Hamburg-Eppendorf in Germany. Therefore, samples from a person with an elevated ferritin level (greater than 200 µg/L (Marfil-Rivera, 2015), in this case 231 µg/L ferritin, 18.2 g/dL Hb, 51.5% hematocrit), an iron-deficient individual (serum ferritin < 12 ng/ml (Knovich et al., 2009), here: 3 µg/L ferritin, 11.4 g/dL Hb, 36.3% hematocrit) and a healthy donor (21 µg/L ferritin, 15.0 g/dL Hb, 42.3% hematocrit) were used. Secondly, infection of red blood cells from other healthy individuals with or without the addition of 0.7 µM hepcidin to the culture medium was compared. This concentration was chosen as it had the strongest effect on parasite proliferation in preliminary experiments, and is expected to increase intracellular Fe2+ as it is twice as high as the hepcidin level needed to reduce 55Fe export from preloaded mature erythrocytes by 30% within one hour of incubation (Zhang et al., 2018).
Relative labile iron levels in uninfected erythrocytes were estimated by determining the mean fluorescence intensity (MFI) of the iron-sensitive dye Phen Green SK in 100,000 cells per replicate using flow cytometry. As binding of ferrous iron to the metal-binding moiety causes fluorescence quenching of the fluorophore, a reduction in fluorescence intensity indicates higher labile iron levels (Petrat et al., 1999). In erythrocytes from the iron-deficient donor, the Phen Green SK MFI was 43% higher relative to control, confirming reduced labile iron levels (Figure 1A). The parasite replication rate after one intraerythrocytic developmental cycle (IDC) decreased by 16% (Figure 1B), the DNA content of late schizonts by 19% (Figure 1C) and the number of merozoites counted per late schizont by 14% (Figure 1D). In contrast, labile iron levels of erythrocytes from the donor with higher iron status were only slightly increased (without statistical support, two-tailed unpaired t tests with Welch’s correction for unequal variances and adjusted with the Holm-Šídák method for multiple comparisons, P = 0.25) relative to blood with normal iron level (healthy control) – as were the parasite proliferation rate, the DNA content and the merozoite number of mature schizonts (Figure 1). To further increase intracellular labile iron levels, we incubated parasites with 0.7 µM hepcidin during one IDC, resulting in 11% reduced Phen Green SK MFI compared to control (Figure 1A). Under these conditions, the parasite growth rate increased by 57% (Figure 1B), the DNA content per schizont by 16% (Figure 1C), and the number of merozoites produced per schizont by 15% (Figure 1D).
Figure 1
Taken together, these data show that parasites grown in erythrocytes from an iron-deficient donor displayed significantly reduced growth rates compared to healthy control. Our in vitro results also demonstrate that hepcidin treatment of control erythrocytes elevated intracellular Fe2+ concentrations and promoted parasite proliferation.
3.2 RNA-sequencing reveals differential expression of iron transporter genes
To identify iron-regulated mechanisms and putative iron transporters in P. falciparum, we carried out whole-transcriptome profiling using bulk RNA-sequencing (Figure 2). P. falciparum 3D7 parasites were cultured either using erythrocytes from a donor with higher, control (healthy) or low iron status (experiment 1); or with red blood cells from another healthy donor in the presence or absence of 0.7 µM hepcidin (experiment 2). Samples from three biological replicates per condition were harvested at the ring and trophozoite stage (6 – 9 hpi and 26 – 29 hpi) during the second IDC under the conditions specified.
Figure 2
To exclude the possibility that differences in mRNA abundance were a consequence of divergent progression through the IDC under different nutritional conditions, we assessed the average developmental age of the parasites in each sample on the basis of a statistical maximum likelihood estimation (MLE) method of transcriptional patterns according to Lemieux et al. (Lemieux et al., 2009). The general transcriptional patterns of parasites were highly similar at individual time points and consistent across different experimental treatments, corresponding to those of a 3D7 reference strain () at approximately 10 hpi and 35 hpi (Figure 2A). This indicates that differences in mRNA abundance of parasites were not caused by divergent progression through the IDC but by direct effects of the experimental treatments. As the 3D7 strain we used for the experiments had a reduced total IDC length of 44 h instead of 48 h, possibly because of gene deletions that may have occurred during long-term culturing (Wichers et al., 2019; Stewart et al., 2020), it progresses through the cycle faster than the 3D7 reference strain (). This may explain why the calculated MLEs of parasite age were higher than the actual values of 6 – 9 hpi and 26 – 29 hpi (Figure 2A).
Using a threshold of 1.5 for the fold change (FC) in gene expression (log2 FC of 0.585 or -0.585) yielded twelve significantly upregulated and 175 downregulated genes in ring-stage parasites under high vs. low-iron conditions (P < 0.05, exact test for the negative binomial distribution with Benjamini-Hochberg correction ()). As differences in transporter gene transcription are typically small (Küpper and Kochian, 2010; ), we examined the 351 upregulated and 770 downregulated genes with a significant expression change and a minimum absolute value of the log2 FC of 0.2 for this comparison (Figure 2B). The full RNA-sequencing datasets are available in the BioStudies repository (Sarkans et al., 2018) under accession number E-MTAB-13411 (https://www.ebi.ac.uk/biostudies/studies/E-MTAB-13411) and differential gene expression test results for individual genes are shown in Supplementary Tables S1 and S2. The highly polymorphic var, stevor, and rifin gene families were excluded from downstream analyses because of their significant sequence diversity between parasites of the same strain during mitotic growth (; Kidgell et al., 2006). Functional Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome (REAC) term enrichment analyses of differentially expressed genes (DEGs) were performed using the g:Profiler web server (Raudvere et al., 2019).
Under high vs. low-iron conditions at the ring stage (6 – 9 hpi), the GO term for biological process GO:0055085 “transmembrane transport” was 2.8-fold enriched (P = 0.007, hypergeometric test) among significantly upregulated parasite genes (Figure 2C). Using the recently updated P. falciparum transporter list (Wunderlich, 2022), all genes with differential expression levels at the ring stage were then screened for transport proteins and all of the five genes previously proposed as iron transporters in Plasmodium (VIT, ZIPCO, NRAMP/DMT1, CRT, MRS3/MFRN (Mach and Sutak, 2020; Sloan et al., 2021)) were found differentially expressed (Table 1). The putative transporter PfE140 (Wunderlich, 2022), which is predicted to be essential (Zhang et al., 2018), may also be involved in iron transport, as it was differentially expressed under low-iron vs. control conditions at the ring stage (Table 1) as well as in the presence vs. absence of hepcidin in trophozoites (Figure 2D). Other significantly enriched functional terms at the ring stage under high-iron conditions were GO:0009056 “catabolic process”, GO:0020020 “food vacuole”, KEGG:01100 “metabolic pathways”, and GO:0005737 “cytoplasm” (Figure 2C). Among downregulated genes under high vs. low-iron conditions at the ring stage, KEGG:03440 “homologous recombination”, KEGG:03410 “base excision repair”, GO:0007049 “cell cycle”, and GO:0015630 “microtubule cytoskeleton” were enriched (Figure 2C). At the more metabolically active trophozoite stage (26 – 29 hpi), processes related to mRNA splicing and protein production were overrepresented in upregulated genes, as indicated by the 2.9-fold enrichment (P = 0.00006) of the KEGG:03040 pathway “spliceosome” and the 2.5-fold enrichment (P < 0.05) of the GO:0015934 term “large ribosomal subunit” (Figure 2C).
Table 1
| Gene product and ID | Log2 (fold change) high vs. low Fe | Log2 (fold change) low Fe vs. control | Log2(fold change) hepcidin vs. control | Known or putative function |
|---|---|---|---|---|
| PLP5 (PF3D7_0819200) | + 0.49 (P = 0.0002) | n.s. | - 0.29 (P = 0.003) | Host cell permeabilization and rupture (Sassmannshausen et al., 2020) |
| ABCG (PF3D7_1426500) | + 0.45 (P = 0.02) | - 0.57 (P = 0.006) | n.s. | Putative metabolite exporter at PPM (), human ortholog ABCG2 exports heme (Jonker et al., 2002) |
| VP1 (PF3D7_1456800) | + 0.39 (P = 0.0006) | - 0.34 (P = 0.004) | n.s. | Active H+ export across PPM () |
| TOM7 (PF3D7_0823700) | + 0.38 (P = 0.02) | n.s. | n.s. | Protein import across outer mitochondrial membrane (Sheiner and Soldati-Favre, 2008; Schmidt et al., 2010) |
| HlyIII (PF3D7_1455400) | + 0.38 (P = 0.0009) | n.s. | n.s. | Forms pore (~3.2 nm) for solutes and ions in EPM (Moonah et al., 2014) |
| TPT (PF3D7_0508300) | + 0.37 (P = 0.001) | - 0.40 (P = 0.002) | n.s. | Imports phosphoenolpyruvate, dihydroxyacetone, and 3-phosphoglycerate across outer apicoplast membrane (Lim et al., 2010) |
| Vo c (PF3D7_0519200) | + 0.36 (P = 0.0006) | n.s. | - 0.16 (P = 0.007) | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| MDR1 (PF3D7_0523000) | + 0.34 (P = 0.0009) | - 0.23 (P = 0.03) | n.s. | Active drug and solute import into DV (Friedrich et al., 2014) |
| NT3 (PF3D7_1469400) | + 0.34 (P = 0.03) | n.s. | n.s. | Putative nucleoside transporter (Martin et al., 2005) |
| SEC61α (PF3D7_1346100) | + 0.33 (P = 0.0006) | - 0.22 (P = 0.04) | - 0.17 (P = 0.005) | ER import of proteins destined for export (Marapana et al., 2018) |
| MRS3 (PF3D7_0905200) | + 0.33 (P = 0.002) | - 0.19 (P = 0.04) | n.s. | Putative Fe2+ importer into mitochondrial matrix (Mühlenhoff et al., 2003) |
| HT1 (PF3D7_0204700) | + 0.33 (P = 0.002) | - 0.30 (P = 0.006) | n.s. | Imports glucose and fructose across PPM () |
| ATP4 (PF3D7_1211900) | + 0.33 (P = 0.005) | - 0.40 (P = 0.002) | n.s. | H+ import, Na+ export across PPM (Spillman Natalie et al., 2013) |
| MCT2 (PF3D7_0926400) | + 0.32 (P = 0.005) | n.s. | n.s. | Exports organic solutes from apicoplast, imports H+ () |
| V1 B (PF3D7_0406100) | + 0.30 (P = 0.001) | - 0.25 (P = 0.008) | - 0.13 (P = 0.04) | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| V1 A (PF3D7_1311900) | + 0.30 (P = 0.001) | - 0.28 (P = 0.003) | - 0.20 (P = 0.001) | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| TIM16 (PF3D7_0513500) | + 0.29 (P = 0.03) | n.s. | n.s. | Protein import across inner mitochondrial membrane (Schmidt et al., 2010; van Esveld et al., 2021) |
| VIT (PF3D7_1223700) | + 0.29 (P = 0.02) | n.s. | n.s. | Fe2+ sequestration from cytosol in exchange for H+ (Slavic et al., 2016; Labarbuta et al., 2017; Sharma et al., 2021) |
| ApiAT2 (PF3D7_0914700) | + 0.28 (P = 0.006) | n.s. | n.s. | Putative amino acid transporter at PPM (Wichers et al., 2021) |
| NRAMP (PF3D7_0523800) | + 0.28 (P = 0.003) | n.s. | n.s. | Symport of Mn2+ or Fe2+ with H+ from DV into cytosol (Wunderlich et al., 2012; Wichers et al., 2022) |
| AMC1 (PF3D7_0108800) | + 0.26 (P = 0.03) | n.s. | n.s. | Putative mitochondrial transporter (Gardner et al., 2002) |
| CRT (PF3D7_0709000) | + 0.26 (P = 0.007) | n.s. | n.s. | Symport of positively charged dipeptides or Fe2+ with H+ from DV into cytosol () |
| V1 H (PF3D7_1306600) | + 0.26 (P = 0.01) | n.s. | n.s. | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| AAC2 (PF3D7_1004800) | + 0.25 (P = 0.03) | n.s. | - 0.21 (P = 0.04) | Mitochondrial ADP/ATP antiporter (van Esveld et al., 2021) |
| PiT (PF3D7_1340900) | + 0.24 (P = 0.02) | - 0.21 (P = 0.04) | n.s. | Imports phosphate and Na+ into cytosol across PPM (Martin et al., 2005) |
| Vo d (PF3D7_1464700) | + 0.24 (P = 0.02) | - 0.23 (P = 0.03) | - 0.15 (P = 0.02) | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| Vo c” (PF3D7_1354400) | + 0.23 (P = 0.03) | n.s. | n.s. | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| ATP10 (PF3D7_0727800) | + 0.23 (P = 0.01) | n.s. | n.s. | Active apicoplast Mn2+ transporter (Martin, 2020) |
| SulP (PF3D7_1471200) | + 0.23 (P = 0.02) | n.s. | n.s. | Inorganic anion antiporter at PPM (Martin et al., 2005) |
| ATP2 (PF3D7_1219600) | + 0.22 (P = 0.02) | - 0.22 (P < 0.05) | - 0.14 (P = 0.03) | Putative phospholipid flippase at PPM (Martin et al., 2005) |
| NT1 (PF3D7_1347200) | + 0.22 (P = 0.02) | n.s. | n.s. | Purin base import across PPM () |
| AAT1 (PF3D7_0629500) | - 0.26 (P = 0.007) | n.s. | n.s. | Putative amino acid transporter at PPM and DV (Gardner et al., 2002) |
| MIT1 (PF3D7_1120300) | - 0.27 (P = 0.02) | n.s. | n.s. | Putative mitochondrial magnesium/nickel/cobalt ion channel (van Esveld et al., 2021) |
| AAT2 (PF3D7_1208400) | - 0.29 (P = 0.009) | n.s. | n.s. | Putative amino acid transporter at PPM (Martin et al., 2005) |
| MDR7 (PF3D7_1209900) | - 0.34 (P = 0.04) | n.s. | n.s. | Active efflux of peptides from mitochondrion (Martin et al., 2005; Mather et al., 2007) |
| CuTP (PF3D7_0904900) | - 0.36 (P = 0.008) | + 0.52 (P = 0.004) | n.s. | Active Cu2+ export from cytoplasmic vesicle (Martin et al., 2005; Kenthirapalan et al., 2014) |
| GCβ (PF3D7_1360500) | - 0.36 (P = 0.007) | n.s. | n.s. | Putative phospholipid flippase at PPM (Martin et al., 2005) |
| TPC (PF3D7_1368700) | - 0.37 (P = 0.01) | + 0.33 (P = 0.02) | n.s. | Thiamine pyrophosphate import, nucleotide export from mitochondrion (Martin, 2020) |
| F1 γ (PF3D7_1311300) | - 0.38 (P = 0.03) | n.s. | + 0.32 (P = 0.03) | Subunit of mitochondrial H+-importing ATP synthase (Gardner et al., 2002) |
| PF3D7_0614900 | - 0.43 (P = 0.005) | + 0.72 (P = 0.0001) | + 0.29 (P = 0.0003) | Putative ABC transporter at PPM (Wunderlich, 2022) |
| MFS4 (PF3D7_1203400) | - 0.44 (P = 0.0008) | + 0.56 (P = 0.0005) | + 0.27 (P = 0.02) | Putative transporter (Martin et al., 2005) |
| Fo d (PF3D7_0311800) | - 0.46 (P = 0.004) | + 0.34 (P = 0.02) | n.s. | Subunit of mitochondrial H+-importing ATP synthase (Martin, 2020) |
| PF3D7_1004600 | - 0.47 (P = 0.01) | + 0.58 (P = 0.003) | + 0.28 (P = 0.03) | Putative ABC transporter linked to drug resistance (Park et al., 2012) |
| MPC2 (PF3D7_1470400) | - 0.47 (P = 0.03) | + 0.66 (P = 0.005) | n.s. | Subunit of mitochondrial putative pyruvate:H+ importer (Martin, 2020) |
| E140 (PF3D7_0104100) | - 0.47 (P = 0.03) | + 0.65 (P = 0.006) | n.s. | Putative transport protein at PPM (Wunderlich, 2022) |
| MDR4 (PF3D7_0302600) | - 0.55 (P = 0.001) | + 0.63 (P = 0.001) | + 0.33 (P = 0.02) | Active drug export across innermost apicoplast membrane (; Sayers et al., 2018) |
| ZIPCO (PF3D7_1022300) | - 0.57 (P = 0.03) | + 0.55 (P = 0.04) | + 0.63 (P = 0.006) | Fe2+/Zn2+ import into cytosol (Sahu et al., 2014) |
| F1 δ (PF3D7_1147700) | - 0.59 (P = 0.004) | + 0.63 (P = 0.005) | n.s. | Subunit of mitochondrial H+-importing ATP synthase (Gardner et al., 2002) |
| TRP-ML (PF3D7_1313500) | - 0.59 (P = 0.01) | + 0.64 (P = 0.005) | n.s. | Putative Ca2+ channel (Gupta et al., 2022) |
| F1 ϵ (PF3D7_0715500) | - 0.67 (P = 0.04) | + 0.94 (P = 0.007) | n.s. | Subunit of mitochondrial H+-importing ATP synthase (Gardner et al., 2002) |
| MFS3 (PF3D7_0919500) | - 0.85 (P = 0.01) | + 0.72 (P = 0.01) | n.s. | Putative sugar transporter (Gardner et al., 2002) |
| ATP11 (PF3D7_1468600) | n.s. | + 1.14 (P = 0.005) | n.s. | Putative phospholipid flippase at PPM (Martin et al., 2005; Wunderlich, 2022) |
| NGT (PF3D7_0505300) | n.s. | + 0.91 (P = 0.00008) | + 0.79 (P = 0.00004) | UDP-N-acetylglucosamine import, UMP export from Golgi (Martin et al., 2005) |
| SAMC (PF3D7_1241600) | n.s. | + 0.77 (P = 0.03) | + 0.68 (P = 0.02) | S-adenosylmethionine import into mitochondrion (Nozawa et al., 2020) |
| PF3D7_0614900 | n.s. | + 0.72 (P = 0.0001) | + 0.29 (P = 0.0003) | Putative active transporter at PPM (Wunderlich, 2022) |
| GPH (PF3D7_0529200) | n.s. | + 0.70 (P = 0.03) | n.s. | Putative sugar:cation symporter (Martin et al., 2005) |
| ATP9 (PF3D7_1348800) | n.s. | + 0.62 (P = 0.04) | n.s. | Active Ca2+ import into DV? (Martin, 2020) |
| CTR2 (PF3D7_1421900) | n.s. | + 0.52 (P = 0.004) | n.s. | Putative apicoplast copper channel (Martin, 2020) |
| MDR5 (PF3D7_1339900) | n.s. | + 0.51 (P = 0.02) | n.s. | Active solute export across PPM (Martin, 2020) |
| TIC20 (PF3D7_1144700) | n.s. | + 0.49 (P = 0.007) | n.s. | Protein import across innermost apicoplast membrane () |
| PF3D7_0924500 | n.s. | + 0.47 (P = 0.002) | n.s. | Putative Na+/H+ exchanger (Saier et al., 2016) |
| PPT (PF3D7_0530200) | n.s. | + 0.46 (P = 0.02) | n.s. | Imports phosphoenolpyruvate, dihydroxyacetone, and 3-phosphoglycerate across inner apicoplast membrane (Lim et al., 2010) |
| CLAG3.1 (PF3D7_0302500) | n.s. | + 0.45 (P < 0.05) | n.s. | Purine, amino acid, sugar, and vitamin import across EPM (Schureck et al., 2021) |
| CDF (PF3D7_0715900) | n.s. | + 0.44 (P = 0.02) | n.s. | Putative Zn2+ importer (Sloan et al., 2021) into cytoplasmic vesicles (Wichers et al., 2022) |
| ATP7 (PF3D7_0319000) | n.s. | + 0.44 (P = 0.007) | n.s. | Putative phospholipid flippase at PPM (Martin et al., 2005; Wunderlich, 2022) |
| RhopH3 (PF3D7_0905400) | n.s. | + 0.42 (P = 0.04) | n.s. | Purine, amino acid, sugar, and vitamin import across EPM (Schureck et al., 2021) |
| AQP2 (PF3D7_0810400) | n.s. | + 0.34 (P = 0.02) | - 0.19 (P < 0.05) | Water channel at PPM () |
| MFS2 (PF3D7_0916000) | n.s. | + 0.33 (P = 0.04) | n.s. | Putative sugar transporter (Martin et al., 2005) |
| TFP1 (PF3D7_0206200) | n.s. | + 0.33 (P = 0.02) | n.s. | Putative metabolite transporter at PPM (Martin, 2020) |
| ATP6 (PF3D7_0106300) | n.s. | - 0.22 (P = 0.03) | n.s. | Active Ca2+{sp}{/sp} import into ER for storage (Martin, 2020) |
| V1 G (PF3D7_1323200) | n.s. | - 0.23 (P = 0.04) | - 0.12 (P = 0.04) | V-ATPase subunit: active H+ export from cytosol (Hayashi et al., 2000) |
| FNT (PF3D7_0316600) | n.s. | - 0.27 (P = 0.02) | - 0.16 (P = 0.004) | Lactate/formate and H+ release from cytosol (Martin, 2020) |
| MFR1 (PF3D7_0614300) | n.s. | - 0.33 (P = 0.004) | - 0.14 (P = 0.02) | Putative organic anion transporter (Martin et al., 2005) |
| PMRT1 (PF3D7_1135300) | n.s. | - 0.36 (P = 0.009) | n.s. | Putative transporter at PPM (Wichers et al., 2022) |
| PLP3 (PF3D7_0923300) | n.s. | - 0.42 (P = 0.015) | n.s. | Host cell permeabilization and rupture (Sassmannshausen et al., 2020) |
| OSCP (PF3D7_1310000) | n.s. | n.s. | + 0.58 (P = 0.01) | Subunit of mitochondrial H+-importing ATP synthase (Gardner et al., 2002) |
| GFT (PF3D7_0212000) | n.s. | n.s. | + 0.54 (P = 0.03) | GDP-fucose import, GMP export from Golgi (Martin et al., 2005) |
| SEC61γ (PF3D7_0210000) | n.s. | n.s. | - 0.23 (P = 0.001) | ER import of proteins destined for export (Marapana et al., 2018) |
| SEC61β (PF3D7_0821800) | n.s. | n.s. | - 0.31 (P = 0.0005) | ER import of proteins destined for export (Marapana et al., 2018) |
| DTC (PF3D7_0823900) | n.s. | n.s. | - 0.34 (P = 0.004) | Imports dicarboxylate, exports tricarboxylate from mitochondrion (Gardner et al., 2002) |
P. falciparum transport proteins with differential gene expression under various iron conditions.
Putative and known transporter genes were filtered from differentially expressed genes in the described RNA-sequencing experiments using a list of P. falciparum transport proteins (Wunderlich, 2022). The log2 (fold change) of gene expression at the ring stage (6 – 9 hours post invasion) and known or proposed functions are indicated for significantly regulated genes (exact P < 0.05). The identified (potential) iron transport proteins are highlighted in red. DV, digestive vacuole; EPM, erythrocyte plasma membrane; PPM, parasite plasma membrane.
In contrast, hepcidin treatment resulted in reduced metabolism compared to control conditions, as KEGG:00040 “pentose and glucuronate interconversions”, REAC:R-PFA-71291 “metabolism of amino acids and derivatives”, GO:0005737 “cytoplasm”, and GO:0015934 “large ribosomal subunit” were significantly enriched in downregulated genes during the parasite ring stage at 6 – 9 hpi (Figure 2E). Among significantly upregulated genes in the presence vs. absence of hepcidin, the terms GO:0070258 “inner membrane pellicle complex” (P < 0.05), KEGG:03430 “mismatch repair” (P = 0.04), and GO:0015630 “microtubule cytoskeleton” (P = 0.04) were enriched at the ring stage. GO:0044409 “entry into host” (P = 0.00008) and GO:0052126 “movement in host environment” (P = 0.0001) were overrepresented at the trophozoite stage (Figure 2E), possibly linked to the observed increase in parasite proliferation (Figure 1B).
Our RNA-sequencing data also revealed the differential expression of genes involved in epigenetic, transcriptional, translational, and post-translational regulation. Under high vs. low-iron conditions, histone deacetylation and chromatin organization processes as well as GO:1990904 “ribonucleoprotein complex” were significantly enriched in upregulated genes at the trophozoite stage, and GO:000370 “DNA binding transcription factor activity” in downregulated genes at the ring stage (Figure 2C). Furthermore, the known iron-regulatory protein PfIRP or aconitate hydratase (Loyevsky et al., 2001; Hodges et al., 2005) was upregulated during the ring stage under high vs. low-iron conditions (log2 FC = 0.49, P = 0.00003) and downregulated in the presence of hepcidin (log2 FC = -0.27, P = 0.01) as compared to control. Many protein kinases involved in post-translational modifications and endocytosis were also upregulated at 26 – 29 hpi at high vs. low iron levels, as indicated by the enriched terms GO:0043170 “macromolecule metabolic process” and KEGG:04070 “phosphatidylinositol signaling system” (Figure 2C).
3.3 Localization of PfMRS3, PfVIT, PfZIPCO, and PfE140 in P. falciparum
On the basis of transcriptomic profiles and the P. falciparum transporter list (Wunderlich, 2022), six proteins with a potential role in iron transport were identified (Tables 1, 2). The subcellular localization of the four proteins that had not yet been localized in P. falciparum (PfMRS3, PfVIT, PfZIPCO, and PfE140) was then examined by endogenous tagging with GFP and confocal imaging of live parasites under physiological control conditions. At least two cell lines were generated per transporter candidate with consistent results and representative example images are shown in Figure 3. Diagnostic PCRs confirmed the fusion of gfp to the respective gene of interest and the absence of parental DNA at the original locus (Supplementary Figure S2). Only the PfMRS3 reporter cell line still contained wild-type DNA of the parental parasites even after prolonged WR99210/G418 selection and limiting dilution cloning (Supplementary Figure S2), indicating the importance of this mitochondrial transporter for asexual parasite growth during the blood stage.
Table 2
| Gene product, gene ID | Blood stage transcription peak | classification | Solved structure of a similar protein | Potential human ortholog(s) | Localization in P. falciparum | Transport assays and proposed function | Mutability in P. falciparum | Essentiality in P. berghei |
|---|---|---|---|---|---|---|---|---|
| MRS3, PF3D7_0905200 | 20 hpi | 2.A.29.5.9 | None | Mitoferrin-1 (E = 7 x 10-10, 27.0% identity, 26% coverage); Mitoferrin-2 (E = 6 x 10-8, 27.9% identity, 12% coverage) | Mitochondrion (this study) | Liposomal transport assays with S. cerevisiae MRS3 (): Fe2+ import into mitochondrial matrix across inner membrane | Non-disruptable, MIS: 0.135 (Zhang et al., 2018) | PBANKA_041620: essential at asexual blood stage () |
| VIT, PF3D7_1223700 | 36 hpi | 2.A.89.1.13 | Crystal structure of VIT1 from Eucalyptus grandis: PDB: 6IU9 (Kato et al., 2019) | None | Cytoplasmic vesicles (this study) | Transport assays using inverted vesicles with PfVIT (Labarbuta et al., 2017): Fe2+ export from cytosol into cytoplasmic vesicles (this study) in exchange for H+ | Disruptable, MIS: 0.903 (Zhang et al., 2018) | PBANKA_143860: dispensable at asexual blood stage with growth rate of 1 (95% CI: 0.94 – 1.05) (), and at mosquito and liver stage (Stanway et al., 2019); reduced growth in blood and liver in mice (Slavic et al., 2016) |
| ZIPCO, PF3D7_1022300 | 32 hpi | 2.A.5.3.12 | Cryo-EM structure of ZIP from Bordetella bronchiseptica, PDB: 8GHT (Pang et al., 2023) | ZIP1 (E = 2 x 10-5, 21.7% identity, 48% coverage) | Cytoplasmic vesicles (this study) | Zn2+ uptake assays with BbZIP in Escherichia coli (Pang et al., 2023), Liposomal assays with PfZIP1 (Shrivastava et al., 2024): Fe2+/Zn2+ import into cytosol from cytoplasmic vesicles (this study) | Disruptable, MIS: 1 (Zhang et al., 2018), growth increase at asexual blood stage (this study) | PBANKA_050650: growth rate of 0.86 (95% CI: 0.74 – 0.98) at asexual blood stage (); dispensable at blood and mosquito stages but reduced sporozoite infectivity and inefficient liver schizogony in mice (Sahu et al., 2014) |
| NRAMP, PF3D7_0523800 | 14 hpi | 2.A.55.2.25 | Crystal structure of NRAMP/DMT from Staphylococcus capitis, PDB: 5M95 () | NRAMP1 (E = 2 x 10-38, 28.4% identity, 56% coverage); NRAMP2 (E = 2 x 10-38, 27.6% identity, 65% coverage) | DV (Wichers et al., 2022) | Uptake assays with Deinococcus radiodurans NRAMP in E. coli and proteoliposomes (; ): pH-dependent symport of Mn2+/Fe2+ with H+ into cytosol from DV | Non-disruptable, MIS: 0.123 (Zhang et al., 2018) | PBANKA_123860: no mutants generated |
| CRT, PF3D7_0709000 | 14 hpi | 2.A.7.20.1 | Cryo-EM structure of PfCRT from strain 7G8, PDB: 6UKJ (Kim et al., 2019) | None | DV (Kuhn et al., 2010) | Transport assays using Xenopus oocytes with PfCRT (): symport of Fe2+ with H+ into cytosol from DV | Non-disruptable, MIS: 0.127 (Zhang et al., 2018), essential at asexual blood stage (Waller et al., 2003) | PBANKA_121950: essential at asexual blood stage (; ) |
| E140, PF3D7_0104100 | 40 hpi | Unknown | None | None | PPM (this study) | Putative Fe2+ importer at PPM (this study) | Non-disruptable, MIS: 0.119 (Zhang et al., 2018) | PBANKA_0209000: growth rate of 0.48 (95% CI: 0.32 – 0.63) at asexual blood stage (), dispensable in mosquito and liver stages (Stanway et al., 2019) |
Proteins identified by RNA-sequencing that may be involved in iron transport in P. falciparum.
The transcription peaks are indicated as in and the classification of the proteins identified according to the Transport Classification Database (Saier et al., 2016). Data on human orthologs was retrieved using the NCBI position-specific iterated (PSI) BLAST with default settings at https://blast.ncbi.nlm.nih.gov/Blast.cgi (). DV, digestive vacuole; E, expect value; EM, electron microscopy; hpi, hours post invasion; MIS, mutagenesis index score; PDB, Protein Data Bank; PPM: parasite plasma membrane.
Figure 3
The GFP-tagged mitochondrial carrier protein PfMRS3 exclusively localized to the mitochondrion, as determined by colocalization with MitoTracker Red (Figure 3A, Supplementary Video S1). PfVIT-GFP displayed a punctate fluorescence pattern within the cytoplasm (Figure 3B; Supplementary Video S2), which did not colocalize with ER Tracker Red in live cells (Figure 3B; Supplementary Video S2). Expression of PfZIPCO-GFP resulted in highly similar fluorescent cytoplasmic dots (Figure 3C; Supplementary Video S3). To test whether these could be acidocalcisomes, we employed LysoTracker Deep Red, commonly used to visualize small acidic organelles in T. brucei (Huang et al., 2014). However, the fluorescent dye only stained the DV in P. falciparum (Figure 3C; Supplementary Video S3) and no acidocalcisome-specific marker is currently available for this parasite. For both PfVIT-GFP and PfZIPCO-GFP, the number of cytoplasmic foci increased as the parasites matured from the ring to the late schizont stage (Figures 3B, C).
GFP-tagged PfE140 (PF3D7_0104100), also known as conserved Plasmodium membrane protein or CPMP (Lerch et al., 2017), localized to the parasite plasma membrane, as evidenced by the ring-like fluorescence pattern around newly formed merozoites (Figure 3D; Supplementary Video S4). The fluorescence intensity was very low at the ring and early trophozoite stage compared to schizonts. Because of amino acid sequence similarity (E = 9 x 10-5, 22.5% identity, 66% coverage) to the essential apicoplast transporter PfDER1-2 (
3.4 Role of identified proteins for asexual malaria parasite growth
To study the function of the putative transport proteins identified, we used targeted gene disruption (TGD) by selection-linked integration (SLI) to generate the corresponding knockout parasite lines for the putative iron transporters that are non-essential during P. falciparum blood stage: PfVIT and PfZIPCO (Figure 4A; Supplementary Figure S2). The cloning strategy requires a homology region of at least 400 bp, and GFP was cloned in frame with the truncated version of the respective transporter (the N-terminal 143 amino acids (aa) of 274-aa PfVIT or 117 of the 325 aa of PfZIPCO). The subcellular localization of the resulting GFP fusion protein was also assessed to confirm protein expression and elucidate the position of targeting signals. PfVIT (1–143)-GFP localized to cytoplasmic structures and PfZIPCO(1-117)-GFP to the DV and cytoplasmic vesicles (Figure 4A). Hence, both truncated proteins contained (a) sequence(s) for targeting to the observed vesicles. As additional DV staining is often non-specific, another part of the protein located within the C-terminal 208 aa of PfZIPCO may be required for exclusively vesicular localization.
Figure 4

PfVIT and PfE140 are important for P. falciparum growth and may be involved in intracellular iron homeostasis. (A) Representative erythrocytes infected with P. falciparum 3D7 parasites that endogenously express a truncated version of PfVIT or PfZIPCO tagged with GFP (green). (B) Growth rates of knockout parasite lines generated. (C) Representative live 3D7 parasites endogenously expressing PfE140-GFP whose green fluorescence was reduced by glmS-mediated knockdown induced by treatment with 2.5 mM glucosamine for 36 h (GlcN) compared to untreated control (Ctrl). (D) Total parasite fluorescence intensities were quantified as background-corrected integrated densities using ImageJ version 2.9.0/1.53t (Schindelin et al., 2012) and compared using Mann-Whitney test. Images to which no averaging or deconvolution software was applied were used for quantification. (E) The size of the parasites was measured as the area of the region of interest and compared using equal variance unpaired t test. (F) Conditional knockdown of PfE140 induced by treatment with 2.5 mM GlcN results in a growth defect during asexual blood stage development. Live parasites were stained with Hoechst-33342 (blue) and imaged under physiological conditions at 37°C using an SP8 confocal laser-scanning microscope (Leica). DIC, differential interference contrast. Scale bar, 2 µm. Error bars represent 95% confidence intervals of the mean, N the number of parasites analyzed, n the number of independent experiments and Hep treatment with 0.7 µM hepcidin. Growth rates refer to the fold change in parasitemia after two intraerythrocytic developmental cycles in vitro relative to untreated wild-type 3D7 parasites (WT) as determined by flow cytometry with SYBR Green I (Malleret et al., 2011). Statistical significance of growth differences was calculated with two-tailed unpaired t tests with Welch’s correction for unequal variances and adjusted with the Holm-Šídák method for multiple comparisons.
Proliferation assays were then performed to determine the importance of the respective transporter for parasite growth. While the PfVIT knockout had no effect on parasite growth under standard conditions, addition of hepcidin reduced the growth rate of the ΔVIT line by 30% (Figure 4B). Of note, hepcidin generally had a smaller effect after two cycles of incubation (Figure 4B) than after one cycle compared to the first IDC (Figure 1B). Unexpectedly, knocking out PfZIPCO led to a growth rate increase by 42% after two IDCs relative to wild-type 3D7 parasites, and thus a rescue by hepcidin treatment was not tested for this knockout line (Figure 4B).
PfE140 is predicted to be essential (Zhang et al., 2018) and the only putative iron transporter identified that localized to the PPM (Figure 3), thus potentially important for iron uptake in P. falciparum. For an inducible knockdown, a glmS ribozyme sequence (Prommana et al., 2013) was introduced upstream of the 3’ untranslated region in the pSLI plasmid, allowing for conditional mRNA degradation by adding 2.5 mM glucosamine (GlcN) to the culture medium (Figure 4C; Supplementary Figure S2). The knockdown led to a 61% decrease in total parasite fluorescence intensity after 36 hours of GlcN treatment (Figure 4D) without affecting parasite size compared to untreated control (Figure 4E). Addition of GlcN also caused a 38% growth rate reduction of the PfE140-GFP-glmS line, which was rescued by hepcidin treatment to a proliferation level that was not significant different from that under standard culture conditions (P = 0.25, Figure 4F). The generation of a PfMRS3-knockdown line was not successful after four independent attempts of G418 selection for integrants after transient transfection, supporting the essentiality of the gene for asexual parasite growth (Zhang et al., 2018).
3.5 Functional implications of predicted transport protein structures
We next took advantage of the recent progress in protein structure prediction and generated models of the putative iron transport proteins identified (Table 2) using AlphaFold2 (Jumper et al., 2021; Varadi et al., 2022) and AlphaFold2-multimer (
Figure 5

Structures of known and putative P. falciparum iron transporters as viewed from the membrane plane. (A) Predicted protein structures with per-residue pLDDT (predicted local distance difference test) confidence scores on a scale from 0 to 100, where blue represents high and red low confidence, respectively. The experimentally determined structure of PfCRT is shown in gray. (B) Molecular lipophilicity potential of the protein surfaces as implemented in UCSF ChimeraX; tan is hydrophobic and cyan hydrophilic. Dashed lines above and below the tan regions of all proteins indicate the respective membrane and disordered loops were removed for clarity. (C) Surface charge of the proteins with positively charged areas colored blue and negatively charged ones red. Putative cation-binding site are indicated with an asterisk and transport directions by arrows. PfE140 likely forms a dimer but is shown as a monomer, as no predicted dimer structure could be obtained using AlphaFold2-multimer. The putative cation-binding sites for this protein are based on DeepFRI gradCAM scores for the functional term GO:0015075 “monoatomic ion transmembrane transporter activity” (Supplementary Figure S5).
The outer surface of PfMRS3 (transport classification (TC): 2.A.29, mitochondrial carrier family) is positively charged (Figure 5C) and there is a clear negatively charged patch in the putative binding pocket facing the mitochondrial intermembrane space. We compared the predicted PfMRS3 structure with that of S. cerevisiae MRS3, which is known to import ferrous iron into the mitochondrial matrix across the inner membrane (Mühlenhoff et al., 2003; Froschauer et al., 2009;
PfVIT is highly similar to VIT1 from E. grandis (E = 7 x 10-27, 30.3% identity, 84% coverage), for which an experimental structure is available (Protein Data Bank (PDB) identifier: 6IU4). The plant protein crystallized as a homodimer (Kato et al., 2019), and the same oligomeric state was suggested for the vacuolar iron transporter family (TC: 2.A.89) protein in P. falciparum (Sharma et al., 2021). A PfVIT monomer also has five transmembrane domains and comprises a negatively charged region facing the cytosol that may enable cation transport (Figure 5C). In agreement with this, one Fe2+ ion and two Zn2+ ions were bound by a strongly charged region on the cytosolic side of the E. grandis VIT1 monomer (Kato et al., 2019) and a highly similar putative binding pocket is present in the parasite protein (Supplementary Figure S4B). In the structural alignment, 219 of the 227 residues of the experimental EgVIT123-249 structure are within 5 Å of the predicted structure of PfVIT with an average Cα RMSD of 1.9 Å and the key residues in the metal-binding domain (Glu102, Glu105, Glu113, Glu116, using EgVIT123-249 numbering) are placed in a similar molecular context in the predicted structure of PfVIT (Supplementary Figures S3B, S4B). The residues in the transmembrane domain that are in the vicinity of the Co2+ ion in the EgVIT123-249 structure (Met80 and Asp43) are also conserved (Supplementary Figure S3B), which is in line with a similar function of PfVIT and EgVIT1.
PfZIPCO contains seven transmembrane domains and was modeled as a homodimer (Figure 5A), as it is part of the zinc (Zn2+)-iron (Fe2+) permease (ZIP) family (TC: 2.A.5), whose members usually function as homo- or heterodimers (Saier et al., 2016). The negatively charged patch in each binding pocket facing the vesicle lumen (Figure 5C) may be involved in cation transport to the cytosolic side. In an overlay of the PfZIPCO model with the cryo-EM structure (PDB: 8GHT) of a ZIP transporter from B. bronchiseptica in the presence of either Zn2+ or Cd2+ ions (Pang et al., 2023), the average Cα RMSD of 140 sequence-aligned residues was 2.0 Å (Supplementary Figures S3C, S4C). Several key residues of the metal binding site M1 of BbZIP (Met99, His177, Glu181, Glu211) were also found in PfZIPCO, whereas others (Asn178, Gln207, Asp208, Glu240) were different (Supplementary Figure S3C), possibly resulting in divergent substrate specificity.
PfNRAMP (TC: 2.A.55, metal ion (Mn2+-iron) transporter family) is a homolog of the human endosomal Fe2+ transporter 2/DMT1 (Martin et al., 2005) and contains twelve transmembrane domains (Figure 5A). Like PfCRT (TC 2.A.7, drug/metabolite exporter family), for which a recent cryo-EM structure (PDB: 6UKJ) is available (Kim et al., 2019), the predicted structure possesses a negatively charged region within its binding pocket facing the digestive vacuolar lumen (Figure 5C). This is consistent with binding of cations such as Fe2+. The PfNRAMP model was superimposed on the solved crystal structure of S. capitis NRAMP/DMT (PDB: 5M95, E = 1 x 10-32, 26.3% identity, 60% coverage), which was shown to bind Mn2+, Fe2+, Co2+, Ni2+, Cd2+ and Pb2+ (
PfE140 is predicted to be anchored in the parasite plasma membrane by a bundle of five transmembrane domains (Meerstein-Kessel et al., 2021). In the AlphaFold prediction, it forms a coiled coil with a hydrophilic region that displays negatively charged patches exposed to the extracellular side (Figures 5A, B). No human orthologs could be identified for this highly conserved Plasmodium protein (
4 Discussion
Here, we studied the role of iron in growth and transcription of P. falciparum by using blood from individuals of different iron status and by adding hepcidin as an iron-regulatory hormone and ferroportin inhibitor. Overall, our data demonstrate the importance of Fe2+ in parasite replication and development and highlight areas for further study. We showed that in vitro growth rates of P. falciparum 3D7 and the number of merozoites formed per schizont were reduced within erythrocytes that contain lower concentrations of labile iron, while culturing in blood from an individual with higher iron status did not lead to a significant increase in labile iron levels within erythrocytes or in parasite growth relative to control (Figure 1). Consistent with this, reduced propagation of P. falciparum 3D7, Dd2, and FCR3-FMG was reported when erythrocyte samples from iron-deficient individuals used for parasite culture (
To identify putative iron transporters and iron-regulated processes, we carried out RNA-sequencing analyses of P. falciparum during the ring and trophozoite stages cultured under the different iron conditions described above. A higher number of biological processes and pathways were significantly enriched among DEGs when erythrocytes from donors with different iron status were used for parasite culture (Figure 2C) compared to red blood cells from the same healthy donor in the presence vs. absence of hepcidin (total of 28 vs. 13 functional terms, Figure 2E). This may reflect greater differences in the culture conditions; for instance, blood from the donor with high serum ferritin and Hb levels may have also contained more glucose or copper (Newhouse et al., 1993; Kim et al., 2011), potentially explaining the more diverse physiological response of the parasite. Including erythrocyte samples from more individuals in the growth experiments and RNA-sequencing analysis would have provided further insights, however, the provision of sufficient blood from iron-deficient donors is limited by ethical constraints.
The availability of additional nutrients likely resulted in increased endocytosis and digestion of host cell contents in the DV of the parasite, leading to enhanced metabolism, mRNA splicing, and protein production. Interestingly, the terms KEGG:01100 “metabolic pathways” and GO:0005737 “cytoplasm” were also found to be enriched in upregulated parasite genes in children with high vs. low parasitemia (Milner et al., 2012; Thomson-Luque et al., 2021). RNA binding and mRNA splicing processes were previously reported to be overrepresented in upregulated genes in severe malaria linked to high parasite density (Milner et al., 2012; Lee et al., 2018; Thomson-Luque et al., 2021). Hence, an increase in overall parasite fitness under high vs. low-iron conditions may explain the increase in parasite multiplication (Figure 1B) and could be associated with higher parasitemia and disease severity. Consistent with the observed upregulation of transmembrane transporters at 6 – 9 hpi under high vs. low-iron conditions, Mancio-Silva et al. found that the functional term “ion transporter activity” was enriched in P. berghei genes that were downregulated under caloric restriction at 6 and 10 hpi (Mancio-Silva et al., 2017). Thus, transmembrane transporter genes may need to be transcribed at the beginning of the IDC to ensure that the appropriate level of transport proteins is available for nutrient acquisition and metabolite efflux during the subsequent metabolically active trophozoite and schizont stages.
Hepcidin plays a central role in mammalian iron homeostasis and reduces serum iron concentrations (Muckenthaler et al., 2017). It is also known that hepcidin levels are elevated in P. falciparum-infected individuals, especially those with high parasitemia (
In addition to roles in parasite proliferation and development, different levels of labile iron may induce regulatory processes at various levels. Under high-iron conditions, the observed upregulation of histone deacetylation (Figure 2C) may lead to the condensation and thus deactivation of certain chromatin regions (
On the basis of our RNA-sequencing results (Figure 2, Table 1) and the P. falciparum transporter list (Wunderlich, 2022), we identified six proteins that are likely involved in iron transport in the parasite (Table 2; Figure 6) and analyzed their subcellular localization (Figure 3), their importance for growth (Figure 4), and their predicted structures (Figure 5). PfMRS3 transcription was upregulated at the ring stage under high vs. low-iron conditions (log2 FC = 0.33, P = 0.002, Figure 2B), and fluorescence of the GFP-tagged protein was exclusively detected at the mitochondrion (Figure 3A). As a disruption of the gene was reported to fail (Zhang et al., 2018), and parental DNA of the original gene locus was still present in the GFP reporter line (Supplementary Figure S2), PfMRS3 is likely essential for asexual growth like PBANKA_041620 (E = 1 x 10-69, 71.4% identity, 25% coverage) in P. berghei (
Figure 6

Iron homeostasis in a P. falciparum-infected erythrocyte. The human blood plasma contains between 10 and 30 µM total iron and the erythrocyte cytosol approximately 20 mM (
Complementation assays in S. cerevisiae indicated a role for PfVIT in iron detoxification (Slavic et al., 2016; Sharma et al., 2021) and we observed that the expression of the gene was upregulated under high vs. low-iron conditions in P. falciparum (log2 FC = 0.29, P = 0.02, Figure 2B). The fluorescence pattern of PfVIT-GFP in live cells (Figure 3B) was consistent with cytoplasmic vesicles that may be acidocalcisomes, as described for T. brucei VIT1 (Huang et al., 2014). An increase in the number of fluorescent punctate structures during parasite development (Figure 3B) was also observed for VIT in T. gondii (
Transport assays using inverted vesicles that were prepared using recombinant PfVIT expressed in E. coli demonstrated that the protein is a Fe2+/H+ antiporter (Labarbuta et al., 2017). The translocation of Fe2+ in exchange for H+ is likely fueled by the pH gradient across the membrane of the acidic vesicles and the high similarity of the putative Fe2+-binding pocket at the cytosolic side of the predicted PfVIT structure with that of experimentally characterized EgVIT1 (Figure 5; Supplementary Figure S4B) provide further evidence for our hypothesis. While not essential during asexual blood stages (Zhang et al., 2018), a knockout of VIT resulted in reduced liver stage development in P. berghei (Slavic et al., 2016) and increased sensitivity to high iron levels in both P. berghei (Slavic et al., 2016) and T. gondii (
In contrast to the PPM staining of P. berghei sporozoites in immunofluorescence assays, PfZIPCO-GFP expression resulted in a punctate fluorescence pattern in the cytoplasm of live blood-stage P. falciparum (Figure 3C), similar to that of PfVIT-GFP (Figure 3B). Whereas the PfZIPCO knockout caused a growth increase under standard conditions (Figure 4B), ΔZIPCO P. berghei parasites displayed normal blood-stage development but impaired sporozoite infectivity as well as reduced replication at the liver stage in mice (Sahu et al., 2014). Interestingly, the ortholog TGME49_225530 is also dispensable in T. gondii tachyzoites with a phenotype score of −2.94 (values below -1.5 are considered non-essential (Sidik et al., 2016)). Hence, Fe2+ efflux from cytoplasmic vesicles (potentially acidocalcisomes) into the cytosol via PfZIPCO may be dispensable in P. falciparum under iron-replete conditions during the blood stage because of the redundancy with iron import mechanisms into the parasite, and the production of the protein may result in a fitness cost. In contrast, liver-stage parasites in low-iron environments may rely on the transporter’s activity when the demand for iron is high during schizogony. As the transcription of PfZIPCO was upregulated at low vs. control iron levels (log2 FC = 0.55, P = 0.04, Table 1) and in response to hepcidin treatment (log2 FC = 0.63, P = 0.006, Figure 2D; Table 1), the transport protein may release Fe2+ and Zn2+ ions from intracellular stores, in this case cytoplasmic vesicles (Figure 6), in case of scarcity, thereby increasing cytosolic ion levels like other ZIP transporters (Sloan et al., 2021). While our analyses of the predicted structure and its alignment with BbZIP indicate that PfZIPCO likely has the capacity to bind and transport cations like Fe2+ or Zn2+ (Figure 5; Supplementary Figures S3C, S4C), its substrate specificity can only be conclusively established by characterizing the purified protein. Liposomal assays with the putative zinc transporter PfZIP1 (PF3D7_0609100, 24.5% identity with PfZIPCO, E = 1 x 10-19, 78% coverage), which localized to the plasma membrane in schizonts, demonstrated that this ZIP transporter preferentially binds Zn2+ over Fe2+ (Shrivastava et al., 2024). Interestingly, this preference was abolished if the histidine-rich loop at the C-terminus of PfZIP1, which is not present in PfZIPCO, was truncated. As mRNA levels of PfZIP1 were enhanced at low cytosolic Zn2+ levels (Shrivastava et al., 2024) but not differentially regulated under various iron conditions (Supplementary Tables S1, S2), it may play a role in zinc rather than iron homeostasis under physiological conditions.
As the highest intracellular iron concentration in P. falciparum is reached within the DV (
Expression of the surface protein PfE140 was upregulated when iron levels were low compared to standard conditions (log2 FC = 0.65, P = 0.0006, Table 1) and the GFP fusion protein localized to the PPM only, as evidenced by the fluorescent edges of free merozoites (Figure 3D). This observation is consistent with the fact that the extracellular portions of this protein are highly polymorphic because of their exposure to the immune system at the sporozoite stage (Meerstein-Kessel et al., 2021). Interestingly, vaccines targeting PyE140 in Plasmodium yoelii were reported to induce up to 100% sterile protection mediated by antibodies in mice (Smith et al., 2020). The reduced parasite replication rate upon its conditional knockdown demonstrates the importance of PfE140 for parasite growth and the rescue of the PfE140 knockdown by hepcidin treatment support a role of this putative transporter in iron uptake (Figure 4F). Its predicted essential nature (Zhang et al., 2018), in addition to the absence of orthologs in humans, make it an excellent drug target candidate. While our P. falciparum gene expression data (Figures 2B, D) point towards a role of PfE140 in iron homeostasis, its precise function is still unclear and it remains to be clarified whether the large coiled-coil domain exposed to the extracellular space (Figure 5) can mediate dimerization upon substrate binding. Given our experimental results and the functional annotations (Figure 5C; Supplementary Figure S5), we hypothesize that PfE140 is a plasma membrane transporter for inorganic cations such as metal ions.
In conclusion, this is the first study to investigate P. falciparum transcriptomics under different iron conditions and to determine the subcellular localization of the known and putative iron transport proteins PfMRS3, PfVIT, PfZIPCO and PfE140 as well as the growth effects of a PfVIT or PfZIPCO knockout and an inducible PfE140 knockdown. Our results reveal how the human malaria parasite reacts to alterations in host iron status and provide new insights into the mechanisms of iron transport in P. falciparum in addition to offering avenues for the development of novel therapeutic strategies against malaria. We propose a model for the regulation of iron homeostasis in the P. falciparum-infected erythrocyte with a series of six organelle-specific iron transport proteins in the parasite (Figure 6): One route of iron uptake into the parasite is through the release of Fe2+ upon hemoglobin digestion in the DV and the efflux of the ion into the cytosol mediated by PfNRAMP (Loveridge and Sigala, 2024) and/or PfCRT (
Statements
Data availability statement
The full RNA-sequencing datasets generated and analyzed in this study are available in the BioStudies repository (89) under accession number E-MTAB-13411: https://www.ebi.ac.uk/biostudies/studies/E-MTAB-13411. The code and data used for parasite age estimation can be accessed at Zenodo with the record ID 7996302: https://zenodo.org/record/7996302.
Ethics statement
Ethical approval was not required for the studies involving humans because the erythrocytes used in this study were residuals from voluntary blood donations at the University Medical Center Hamburg-Eppendorf. All donors provided written informed consent that their blood donation could be used for research purposes. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from a by-product of routine care or industry. Written informed consent to participate in this study was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and the institutional requirements.
Author contributions
JW: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. VK: Formal Analysis, Software, Visualization, Writing – original draft, Writing – review & editing, Data curation, Investigation, Methodology, Validation. LV-N: Software, Visualization, Writing – review & editing, Formal Analysis. CN: Investigation, Writing – original draft. MG: Resources, Project administration, Writing – original draft. SPe: Project administration, Resources, Writing – original draft. SPo: Funding acquisition, Resources, Supervision, Writing – review & editing. JS: Conceptualization, Formal Analysis, Funding acquisition, Methodology, Project administration, Software, Visualization, Writing – original draft, Writing – review & editing, Data curation, Validation.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by a Boehringer Ingelheim Foundation Exploration Grant, the Partnership for Innovation, Education and Research (PIER) of Hamburg University and DESY (project PIF-2018-87) and the European Molecular Biology Laboratory (EMBL). JW was additionally funded by the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program (grant agreement 759534) and VK by a research fellowship from the EMBL Interdisciplinary Postdoc (EIPOD) Program under Marie Curie Cofund Actions MSCA-COFUND-FP (grant agreement 847543). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Acknowledgments
The authors thank the Genomics Core Facility at EMBL Heidelberg, especially Vladimir Benes, for the RNA-sequencing service, and EMBL Hamburg for the provision of research and technical support as well as access to research infrastructures. Grzegorz Chojnowski and the group of Jan Kosinski at EMBL Hamburg enabled the AlphaFold2 workflow at the EMBL Hamburg computer cluster. The Advanced Light and Fluorescence Microscopy Facility at CSSB Hamburg, in particular Roland Thünauer, supported microscopy experiments and the Bernhard Nocht Institute for Tropical Medicine (BNITM) provided lab space. We gratefully acknowledge Tobias Spielmann for pSLI-GFP and pARL-PfACP (1–60)-mCherry, Paul Burda for pSLI-GFP-glmS, Jacobus Pharmaceuticals for WR99210, Anna Bachmann and Mayka Sánchez for helpful advice, Eileen Devaney, Katharina Jungnickel, and Samuel Pažický for critical reading of the manuscript, and Heidrun von Thien, Yannick Höppner, and Gabriela Guédez for technical assistance. A preprint of this article is available on bioRxiv at https://doi.org/10.1101/2024.04.18.590068 (Wunderlich et al., 2024).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcimb.2024.1480076/full#supplementary-material
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Summary
Keywords
Plasmodium falciparum, malaria, drug target, iron deficiency, transporters, nutrient uptake, gene expression, AlphaFold
Citation
Wunderlich J, Kotov V, Votborg-Novél L, Ntalla C, Geffken M, Peine S, Portugal S and Strauss J (2024) Iron transport pathways in the human malaria parasite Plasmodium falciparum revealed by RNA-sequencing. Front. Cell. Infect. Microbiol. 14:1480076. doi: 10.3389/fcimb.2024.1480076
Received
13 August 2024
Accepted
14 October 2024
Published
07 November 2024
Volume
14 - 2024
Edited by
Sheila Nardelli, Oswaldo Cruz Foundation, Brazil
Reviewed by
Melisa Saye, Instituto de Investigaciones Medicas (IDIM, UBA-CONICET), Argentina
Estefanía Calvo Alvarez, University of Milan, Italy
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Copyright
© 2024 Wunderlich, Kotov, Votborg-Novél, Ntalla, Geffken, Peine, Portugal and Strauss.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Juliane Wunderlich, juliane.wunderlich@mail.mcgill.ca
†Present address: Juliane Wunderlich, Robert Koch Institute, Department of Infectious Disease Epidemiology, Berlin, Germany; Jan Strauss, German Maritime Center, Hamburg, Germany
Disclaimer
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