INTRODUCTION
Malaria kills more than 400,000 people each year (
1). While there has been a marked reduction in global rates of malaria disease since the new millennium, progress has stalled and recently even reversed in some regions (
1). A critical factor threatening future gains in malaria control is the emergence and spread of drug resistance in the most virulent parasite
Plasmodium falciparum (
2). Of most concern is the reported spread of resistance to frontline artemisinin-based drugs in the Greater Mekong Subregion (GMS) of Southeast Asia (SEA) (
3–5). Artemisinin has revolutionised treatment for severe malaria. The drug acts rapidly to clear the clinical symptoms of malaria by killing the asexual parasite in host red blood cells (RBCs). Although a precise mechanism of action is contested, it is thought that intracellular iron-mediated activation of artemisinin arising from parasite metabolism of hemoglobin causes the drug to be both highly reactive and consumed rapidly in the process of its action (
6). Consequently, use of artemisinin or its derivatives requires coformulation with longer-lasting partner drugs as artemisinin-based combination therapies (ACTs). In recent years, however, resistance to both artemisinin and partner drugs, including piperaquine and mefloquine, has increased in prevalence throughout SEA (
4,
7–10). The spread of such multidrug resistant parasites beyond the GMS could prove catastrophic for global malaria control (
11,
12).
Resistance to artemisinin is strongly associated with nonsynonymous single nucleotide polymorphisms (SNPs) in the propeller domain of
P. falciparum Kelch13 (PfK13) (
13) a protein with a role in hemoglobin endocytosis from the host cell (
14,
15). Based on SNP analysis, several PfK13 variants (PfK13
var) have been defined displaying different degrees of delayed parasite clearance in patients under ACT treatment. PfK13
var include mutually exclusive SNPs giving rise to amino acid changes C580Y, R539T, I543T and Y493H (
4,
8,
16,
17). While the precise mechanism by which different PfK13
var determine resistance remains ill-defined (
6), PfK13
var parasites show an upregulation in the unfolded protein response (
18). In asexual ring stages, the presence of PfK13
C580Y results in the reduced endocytotic uptake of hemoglobin, potentially leading to reduced intracellular activity of artemisinin (
14,
15). Persistence of parasites in the blood of infected individuals will lead to their delayed clearance and ultimately treatment failure. Among PfK13 polymorphisms, the PfK13
C580Y genotype is the most widely spread variant currently circulating in SEA (
7,
8).
Drug resistance and its spread are traditionally seen through the prism of disease, which, in the case of malaria, is the asexual replicative stages of the life cycle carried in blood circulation. However, resistance can only spread with passage of the parasite through the mosquito, a fundamental step in the
Plasmodium life cycle (
19). Transmission of malaria parasites is solely mediated by nonpathogenic sexual stages called gametocytes. These gametocytes mature over the course of 10 to 12 days and are the only stages infectious to mosquitoes (
19). During a mosquito blood feed, male and female gametocytes are taken up and activated in the mosquito midgut into male and female gametes. These activated gametes then fertilize and form a motile zygote (ookinete) that infects the midgut epithelium, forming an oocyst on the gut lining (
20). The oocyst eventually bursts releasing sporozoites that can be transmitted back into humans during a subsequent bite from an infected mosquito.
While the activity of artemisinin derivatives on asexual stage parasites is well known, one overlooked property of these drugs is their ability to target sexual stages, specifically their ability to block the activation of male gametes (exflagellation), which underpins transmission (
21,
22). This raises the question as to whether artemisinin-resistant parasites are also resistant to this sterilizing effect in the context of transmission to the mosquito. Here, we sought to test how clinical isolates with demonstrated tolerance or treatment delay against artemisinin (i.e., asexual stage growth) fair in their transmissibility through the mosquito under artemisinin coverage. We showed that male gametocytes of a PfK13
C580Y isolate are activated under drug pressure and are thus able to infect mosquitoes under artemisinin treatment compared to a sensitive control. These findings have important implications for modeling the spread of resistance across geographical regions. This additional effect of artemisinin resistance on transmission emphasizes the need for future combination therapies that include a transmission-blocking component if we are to stem the spread of resistance beyond the GMS.
DISCUSSION
The threat of spreading artemisinin resistance for the treatment of malaria has focused global attention on the mechanisms underlying resistance in the parasite Plasmodium falciparum. However, only limited focus has been placed on how resistant parasites transmit through the Anopheles mosquito vector. In this paper, we have shown clear evidence that a clinical isolate with defined artemisinin resistance, based on the known PfKelch13 marker (in terms of clinical delayed clearance and reduced asexual growth sensitivity in the presence of artemisinin-based drugs), is also equally able to transmit to mosquitoes under drug coverage.
In comparison, the wild-type pathogen strain NF54 was shown to be significantly less likely to infect mosquitoes under drug coverage. This suggests that the use of artemisinin will increase the probability of artemisinin resistance being transmitted due to the significant reduction in the probability of wild-type parasites being transmitted. The molecular basis of this transmission-resistance phenotype is likely complex and is clearly not defined simplistically by PfK13 alone. However, the disconnect between PfK13 and transmission resistance is clear from the observation that of the five clinically resistant isolates tested, while each showed clear resistance to artemisinin-based drugs in asexual growth, there was varied sensitivity in transmission stages. However, the transmission-resistance phenotype was nonetheless robust for certain isolates. We initially aimed to compare artemisinin-resistant parasites with locally matched artemisinin-sensitive isolates to allow a more accurate adjustment for the genetic background of the SEA lineages. Unfortunately, at the time of this study, none of the wild-type isolates were producing sufficiently viable male gametocytes and culture adaption of those lines is currently ongoing. Therefore, the canonical NF54 strain, which has been broadly employed in transmission studies, was chosen as the artemisinin-sensitive control.
As with previous studies, we first started with investigation of the asexual growth rate, confirming a consistent reduced rate in resistant isolates. The asexual growth rate reduction seen in PfK13
var isolates likely acts as both a selective cost for parasite growth (in being outcompeted in normal infections) but also likely explains how these parasites persist during drug treatment, i.e., explaining delayed clearance (
14,
15). Switching our focus to sexual commitment and development, we next explored gametocyte production. With the caveat that different parasite isolates always show marked differences in gametocyte formation capacity, we did not observe any obvious reduced capacity among PfK13
var isolates in gametocyte production. All five field isolates produced comparable numbers of mature gametocytes (stage V gametocytes) after day 14 upon induction. Indeed, a positive correlation between drug resistance and sexual commitment has been consistently reported. Patients with delayed parasite clearance due to artemisinin resistance display higher gametocytaemia levels, suggesting an elevated potential for transmission of these parasite isolates (
16). While commitment of gametocytes to either male or female is poorly understood, it is entirely conceivable that gametocytes mature or differentiate into either male or female at differing rates in each isolate. Unfortunately, sex ratios were untested here due to a paucity of markers for male and female gametocytes and challenges with definitive differentiation of the sexes using Giemsa stain. Irrespective of this, gametocyte conversion rates have been shown to be sensitive to asexual stage replication, which itself is affected by drugs. This suggests there is the potential for a trade-off between asexual stages and sexual stages in ensuring the spread of the artemisinin-resistant parasites (
47).
With sexual commitment and exflagellation
in vitro seemingly uncompromised in resistant isolates, we next sought to explore transmissibility directly. While we saw differences in infection intensities between the different isolates, the transmission replication rate (as measured by oocyst size) among the five parasite field isolates and NF54 was similar. The latter point is noteworthy, since it is clear that artemisinin-resistant parasite isolates show a lower asexual growth rate and merozoite (progeny) rate (
Fig. 1), however, sporogony in the mosquito does not appear to be affected. Thus, PfK13
var parasites appear able to commit to sexual reproduction, activate, and transmit to mosquitoes at similar levels as NF54 (i.e., beyond variability usually seen between isolates). Still, it is important to note that further studies are needed to fully address the influence of
K13 genotype on oocyst growth and, ultimately, number of viable and infectious sporozoites.
Shifting our attention to transmission under drug coverage, tests of the viability of gametocytes for gamete activation using the MGFA with artemisinin derivatives; DHA, artemether, and artemisone clearly found that certain PfK13
C580Y and PfK13
R539T parasites demonstrated significantly higher resistance compared to NF54. Of note, while undertaking this work, a parallel study made similar observations. Testing male exflagellation sensitivity to DHA in unrelated culture-adapted PfK13
var Cambodian field isolates, Lozano et al. found that PfK13
var isolates showed a reduced sensitivity of exflagellation rates to DHA treatment, though onward mosquito infectivity was not tested (
48). Extending this observation to transmission directly, we took the most competent transmissible field isolate representing the resistant phenotype (APL5G, PfK13
C580Y) compared to the laboratory reference strain NF54, and tested whether transmission resistance plays out in terms of capacity to infect mosquitoes over a range of drug concentrations. Controlling for number of RBCs and hematocrit level for each, infection prevalence in mosquitoes could then be tested and compared between drug treatment of the same parasite isolate. Of note, the oocyst intensity (number of oocysts found in each mosquito) was consistently different between NF54 and APL5G, as it is for each different culture-adapted parasite strain (
40). These differences make direct measures of mixed infections challenging. Nonetheless, we found that under DHA pressure, transmission of the artemisinin resistant, PfK13
C580Y (APL5G) was consistently less impaired than transmission of NF54 (
Figure 4c). This is due to the greater impact of DHA on NF54 oocyst infection, which served to offset the decreased transmission potential for APL5G in the absence of DHA. Our findings demonstrate that the artemisinin-resistant phenotype of APL5G is not confined to asexual blood stages but, additionally, expands to male sexual stages and directly influences transmission in the presence of DHA. APL5G additionally carries a
pfmdr1 amplification which has been previously linked to asexual artemisinin resistance (
44,
45). Yet, in a clinical setting, the most prominent multidrug-resistant
P. falciparum lineages show very low
pfmdr1 amplification prevalence across the GMS (
10,
49). Despite
pfmdr1 copy number variations potentially having an association with increased DHA resistance during gamete formation of APL5G, clinical evidence suggests this amplification is unlikely to have provided a true advantage for wider transmission and manifestation outside the use of the artemisinin partner drug mefloquine (
10,
49).
Although the numbers are small here, the implications are that in the context of a mixed infection, a resistant parasite isolate may be more likely to survive ACT treatment and, additionally, its gametocytes may be more likely to transmit to the mosquito. Thus, ACT coverage in the field may be favoring, even driving, artemisinin-resistant parasite persistence and transmission. This could explain an important part of the selection of PfK13 propeller mutants observed in the field. For instance, the F446I PfK13 mutation results in only a slight prolongation in parasite clearance half-life and is not associated with ACT treatment failure (
16). Yet, there is clear selection of this genotype in Myanmar and Southern China (
50), which could be explained by preferential transmission under artemisinin drug pressure. The effect on outcrossing is also worth considering. Because the sterilizing effects of artemisinin-based drugs only affect the male gametocyte (
21,
22), there is the very real potential that ACT usage in the context of a mixed infection might favor acquisition of other selectively advantageous mutations during transmission. Since the female gametocytes remain unaffected, successful transmission under ACT coverage would likely favor either resistant parasite selfing or mating between resistant males and sensitive females. It is clear from our own usage of a central Asian mosquito vector (
A. stephensi) and the work of others using the major African vector,
A. coluzzii (
40), that artemisinin-resistant parasites can infect nonnative mosquitoes. Thus, in a mixed infection where local parasites show a degree of geographical vector adaptation (
51), an invasive resistant parasite, otherwise at a disadvantage (reduced vector adaptation and slower asexual growth), may acquire a key advantage under ACT coverage in terms of its ability to both transmit and acquire necessary adaptive mutations via recombination with sensitive females. Importantly, this may play out even without a decline in cure rates if transmissibility of the treated infection is increased, such as in high-intensity transmission areas at the early stages of resistance invasion before partner drug resistance has emerged. Mixed infection studies
in vivo and modeling of drug coverage effects with different rates of transmission intensity are clearly needed to explore the implications of transmission resistance in various invasive settings.
Ultimately, these data stress the importance of considering transmission in the context of drug resistance spread and argue strongly for the inclusion of a parasite transmission-blocking component in future antimalarial combination therapies or control strategies.
MATERIALS AND METHODS
P. falciparum asexual blood stage and gametocyte maintenance.
Asexual blood stage and gametocytes were cultured as previously described (
38) with the following modifications. Asexual blood-stage cultures were maintained in asexual culture medium (RPMI 1640 with 25 mM HEPES [Life Technologies], 50 μg liter
−1 hypoxanthine [Sigma], 5% A+ human serum [Interstate Blood-Bank], and 0.5% AlbuMAX II [Life Technologies]). Gametocyte cultures were maintained in gametocyte culture medium (RPMI 1640 with 25 mM HEPES [Life Technologies], 50 μg liter
−1 hypoxanthine [Sigma], 2 g liter
−1 sodium bicarbonate [Sigma], 5% A+ human serum [Interstate Blood-Bank], and 0.5% AlbuMAX II [Life Technologies]).
Field isolates.
All parasite isolates were sequenced and assessed for multiplicity of infection at point-of-care baseline before ACT treatment. Selected isolates were sufficiently homozygous (based on the value F
WS delineated in reference
23), which allowed us to proceed without additional parasite cloning steps. Interestingly, all copy number variations for APS3G, APL5G (mdr1), and APL4G (plasmepsin II/III) were maintained after prolonged culture cultivation and several cryopreservation steps, as the same copy number variations were found at baseline (
52) and during our most recent sequence analysis in 2019.
Mosquito rearing.
Anopheles stephensi mosquitoes were reared under standard conditions (26°C to 28°C, 65% to 80% relative humidity, 12 h:12 h light/darkness photoperiod). Adults were maintained on 10% fructose.
Whole-genome sequencing.
Genomic DNA isolation, whole-genome sequencing, and calling of single-nucleotide variants were undertaken essentially as recently described (
52). To determine gene amplification copy number variants, sashimi plots were created and visualized using the integrated genomics viewer (IGV) (
53) comparing aligned bam files. Sashimi plots were visually inspected for increased read coverage over genes of interest.
Flow cytometry.
To prepare parasites for the growth assay, asexual parasites were sorbitol-synchronized at least twice 16 h apart to create an 8 h growth window. Briefly, cultures containing mainly ring-stage parasites were incubated with 5% sorbitol at 37°C for 5 min, spun down, and resuspended in culture medium. The second synchronization step was repeated 16 h later, resulting in a culture where parasites were between 16 h to 24 h ring stages. To start the growth assay, parasitemia was seeded in 2 ml total volume at 2% hematocrit and 1 to 2% early ring stages in triplicates that were treated separately. The assay was performed twice with 3 replicates each. Every 48 h and for a total of 8 days, parasitemia was determined using flow cytometry and each well was diluted back to 1 to 2% parasitemia as follows. One milliliter of each culture was fixed in 4% formaldehyde and 0.2% glutaraldehyde for at least 10 min. After washing with phosphate-buffered saline (PBS), DNA was stained with SYBR green I (diluted 1:10,000) in the dark for 20 min at room temperature. After incubation, cells were washed three times with PBS and resuspended in 80 μl PBS. Flow cytometry was performed counting a total of 100,000 cells per well. Cumulative growth was calculated based on absolute parasitemia and dilution factor for each day.
Nuclei count.
Parasites were synchronized twice using 5% sorbitol to obtain a 10-h life cycle window. An aliquot of 10 μM compound 2 was added to late trophozoite stages for a maximum of 12 h to block egress of the RBCs (
37). Resulting segmented schizonts were thinly smeared, then fixed with 4% formaldehyde and 0.2% glutaraldehyde for 20 min. Smears were then stained with 1 μg ml
−1 DAPI for 5 min and mounted in Vectashield (Vector Laboratories). Z-stacks were taken using a Leica microscope at 100× magnification. Nuclei of arrested segmented schizonts were counted using the plugin tool “Manual counting” on ICY (
54). Only singly invaded RBC were counted.
Trophozoite maturation inhibition assay.
The trophozoite maturation inhibition assay (TMI) was performed as described (
24). Briefly,
P. falciparum-infected blood was collected into heparin-coated vacutainer tubes and centrifuged at 800 ×
g at 4°C for 5 min to allow the removal of the plasma and buffy coat. This was followed by three washes in RPMI 1640 (without serum supplement) and adjusted to 3% cell suspension in 10% A+ human serum-supplemented RPMI 1640. Then, 96-well microtiter plates (Nunc MicroWell 96-well microplate; Thermo Fisher Scientific) were predosed with artesunate dissolved in 5% NaHCO
3 (Guilin Pharmaceutical Co., Ltd., China), ranging from 0.01 to 400 ng ml
−1 final concentration or no drug as negative control. A 75-μl
P. falciparum ring stage infected RBC cell suspension was added to the test plate and incubated for 24 h at 37°C in 5% CO
2. All samples were tested in triplicate. Upon completion of drug exposure, thick and thin blood smears were prepared of all wells and the number of 24- to 30-h trophozoites (
55) was counted per 100 infected RBCs. To identify the inhibition activity of artesunate, the percentage of trophozoite maturation compared to the negative control was assessed. The IC
50 (50% inhibitory concentration) was calculated as the drug concentration causing 50% inhibition of
P. falciparum maturation from ring stage to trophozoite stage and normalized to the negative-control wells. All IC
50s were determined by sigmoid curve fitting using WinNonlin computer software (version 3.1; Pharsight Corporation, USA). As a technical control, all
ex vivo assays were performed in parallel to the standard laboratory Thai strain TM267, which is a non-gametocyte-producing line.
Male gamete formation assay double-dose format.
The double dose male gamete formation assay (MGFA) was adapted from previously described methods (
22) to incorporate an additional drug dosage, accounting for the low compound half-lives of artemisinin and its derivatives. Briefly, compounds were prepared in 10 mM DMSO stocks and dispensed in serial dilutions into multiwell plates using an HP D300 digital dispenser. All drugs were supplied by the Medicines for Malaria Venture (MMV), including UCT048 (MMV048), NITD609 (Cipargamin), gentian violet, methylene blue, and DHA. Samples were normalized to 0.25% DMSO and contained 0.25% DMSO and 12.5 μM gentian violet as negative and positive controls, respectively. Half the maximal DMSO content was plated per plate, accounting for the accumulation of DMSO over two dosages. Mature gametocytes with an exflagellation rate of >0.2% of total cells were diluted in gametocyte culture medium to 25 million RBCs ml
−1. Mature gametocyte culture was plated in drugged 96-well plates and incubated in a humidified chamber under 92% N
2/5% CO
2/3% O
2 (BOC special gases) at 37°C for 24 h. For the second drug dosage at 24 h, the drugged culture was transferred to a second drugged well plate and incubated for a further 24 h under 92% N
2/5% CO
2/3% O
2 at 37°C in a humidified chamber.
At 48 h, gametogenesis was induced with ookinete medium (RPMI 1640 with 25 mM HEPES [Life Technologies], 50 μg liter
−1 hypoxanthine [Sigma], 2 g liter
−1 sodium bicarbonate [Sigma], and 100 μM xanthurenic acid). Plates were immediately incubated at 4°C for 4 min and then 28°C for 5 min before transferring to a Nikon Ti-E widefield microscope. Exflagellation events were recorded by automated phase-contrast microscopy, in 96-well plates. Twenty-frame time lapses were recorded at 10× magnification and 1.5× zoom. Exflagellation events per field were derived using an automated ICY Bioimage Analysis algorithm. Resulting counts were converted to percentage inhibition values, calculated relative to positive (C1) and negative (C2) controls:
Raw data demonstrated a Z-score ≥ 0.4 and was derived from n ≥ 2 and n ≥ 3 technical and biological replicates, respectively. GraphPad Prism (version 8) was used to calculate IC50s from the dose response data using with the log(inhibitor) versus response–variable slope (four parameters) function. IC50s were derived from curves demonstrating R2 ≥ 0.95.
In vitro simulated DHA half-life and wash-out assays.
P. falciparum NF54 gametocyte cultures were seeded according to the MGFA protocol on the same day from the same inoculum and maintained in Nunc EasYFlask cell culture flasks (Thermo Fisher Scientific, Nunclon Delta surface treated, 25 cm2). DHA was kindly provided by Medicines for Malaria Venture and prepared at a 10 mM stock solution in DMSO and stored at −20°C until further use.
On the day of the half-life assay, nonpurified stage III (culture day 9) and stage V (culture day 14) gametocyte cultures were assessed for their gametocytaemia with Giemsa smears and stage V also checked for male gametocyte exflagellation. Each culture was split into two Nunc EasYFlask cell culture flasks (25 cm2), exposed to 92% N2/5% CO2/3% O2, and cells were allowed to settle for 1 h at 37°C. Culture supernatants were removed and replaced with freshly prepared and prewarmed 10 ml gametocyte culture RPMI containing 0.25% DMSO or 3.5 μM DHA (0.25% DMSO final), exposed to 92% N2/5% CO2/3% O2, and cells were allowed to settle at 37°C. After 50 min, culture supernatants were aspirated and replaced with 10 ml of freshly prepared and prewarmed gametocyte culture RPMI containing DMSO in the control culture or 1.75 μM DHA for the treatment culture (half of the initial DHA concentration). This step was repeated until a final exposure of 0.027 μM DHA was reached (8 exposure steps). Culture supernatants were then replaced with 10 ml of prewarmed gametocyte culture RPMI and incubated for 2 h before replacement of supernatants with fresh gametocyte culture RPMI. This washing step was repeated 3 times in total. Gametocyte cultures were then matured until day 15 (stage III) and day 16 (stage V) culture. Exflagellation was assessed according to the MGFA and inhibitions quantified to DMSO controls.
For single-dose DHA wash-out assays, nonpurified stage III, IV, and V (culture days 9, 11, and 14, respectively) gametocytes were each split into two Nunc EasYFlask cell culture flasks (25 cm2) and incubated with 10 ml of freshly prepared and prewarmed gametocyte culture RPMI containing either 0.25% DMSO or 1.6 μM DHA, exposed to 92% N2/5% CO2/3% O2, and kept at 37°C for 24 h. Supernatants were aspirated and all cultures were washed 3 times for 2 h each time, according to the half-life washing steps above. Gametocytes were then further cultured until day 14 (stage III and stage IV) and day 15 (stage V). Exflagellation levels were measured according to the MGFA. Gametocytaemia was counted per 1,000 RBC.
Standard membrane feeding assay.
Gametocytes were induced and maintained as described above. At day 14 postinduction, gametocytes were spun down at 38°C and resuspended in 5 ml of suspended animation buffer (SA) (
56). To ensure that a consistent number of RBCs and gametocytaemia were used for drug incubation for each isolate, gametocytes were magnetically activated cell sorting (MACS)-purified and resuspended in gametocyte medium with 25 × 10
6 fresh RBCs. DHA or DMSO was added to the desired end concentration into a 10-ml gametocyte culture and added again 24 h later (double-dosing within 48 h). After 48 h, the parasite culture was mixed with fresh blood and human serum and fed to adult
A. stephensi mosquitoes using a 3D-printed feeder (
39).
Oocyst counts and size.
At day 10 postfeeding, mosquitoes were dissected, midguts were stained in 0.1% mercurochrome, and then inspected using light microscopy with 10× magnification to count oocysts.
To measure oocyst size, midguts of A. stephensi fed on P. falciparum-infected blood were dissected and fixed with 4% formaldehyde, permeabilized with 0.1% Triton X-100 for 1 h, blocked with 3% bovine serum albumin (BSA) for 30 min, and stained with 1 μg ml−1 in DAPI for 3 min. Midguts were washed with 1× PBS and mounted in Vectashield. Images were acquired on a Nikon Ti-Eclipse inverted fluorescence microscope. Images of P. falciparum-infected midguts were captured using the DAPI channel and z-stack imaging to obtain greater depth of oocysts. These stacked images were then processed in ND Processing using the Maximum Intensity Projection option, which then created an image with brighter intensity of the oocysts in every midgut. Oocyst detection was automated by using the Automated Spot Detection program based on the intensity of the oocysts compared to midgut cells (NIS-Elements). The size, diameter, and intensity of each selected oocyst were recorded in an MS Excel file for analysis.
Statistical modeling of oocyst infection intensity and prevalence.
To assess the impact of artemisinin on the ability of each parasite line to form oocysts, we used generalized linear mixed effects models to incorporate data from different experimental replicates within the same modeling framework. These models have previously been used to model transmission-blocking interventions (
57). We modeled either infection intensity or prevalence as the response with treatment (DHA concentration) included as a fixed effect and 0 μM DHA represented by control groups treated with DMSO. The parasite line that was treated (PfK13
WT or PfK13
C580Y) was included as a fixed effect to assess the differential impact of artemisinin on transmission success. The impact of treatment between experimental replicates was allowed to vary at random between replicates. A logistic regression (binomial error structure) was used to model the prevalence of mosquito infection, i.e., the presence or absence of oocysts, and a zero-inflated negative binomial distribution was used to model the intensity of infections, i.e., the numbers of mosquito oocysts (
58). The 95% confidence interval estimates were generated for the impact of drug concentration by bootstrapping methodology (with 100,000 replicates).
ACKNOWLEDGMENTS
This work was supported by a joint Medical Research Council (MRC) UK Newton and National Science and Technology Development Agency (NSTDA), Thailand award (MR/N012275/1 to J.B., S.P., N.J.W., and K.C.). Further support came from the Medicines for Malaria Venture (MMV) (MMV08/2800 to J.B.). J.B. is supported by an Investigator Award from Wellcome (100993/Z/13/Z). N.J.W. is supported by Wellcome with a Principal Research Fellowship (107886/Z/15/Z). The Mahidol University Oxford Tropical Medicine Research Program is funded by Wellcome (AMD 106698/Z/14/A). The Wellcome Sanger Institute is funded by Wellcome (206194/Z/17/Z), which supports M.K.N.L. O.J.W. would like to acknowledge funding from a Wellcome Trust PhD Studentship (109312/Z/15/Z). S.Y. would like to acknowledge PhD funding from an EPSRC Doctoral Training Partnership Award to Imperial College London.
We declare no conflicts of interest.
We thank the gametocyte team at Imperial College London for ongoing provision of gametocytes, in particular Alisje Churchyard, Irene García Barbazán, Joshua Blight, and Eliana Real and staff of the sequencing facility at the Wellcome Sanger Institute for their contribution. We also thank Mark Tunnicliff for ongoing provision of A. stephensi mosquitoes, Olivo Miotto (MORU) for sharing genome sequences of the parasite isolates and for helping in the analysis of SNP calling, and Chanaki Amaratunga (MORU) for constructive discussions. Figures 3a and b were created with BioRender.com.
M.J.D., A.R., K.C., and J.B. conceptualized the study; K.W., F.A.D., M.J.D., and A.R. designed experiments; experiments were undertaken by K.W., F.A.D., M.J.D., S.Y., U.S., D.C., A.R., and B.S.; R.D.P., V.M.H., M.K.N.L., K.W., and A.R. generated and curated the genome data; modeling components were designed and executed by O.J.W. and L.C.O. S.P., N.J.W., A.M.D., and K.C. supervised collection of clinical isolates used in the study. K.W., F.A.D., A.R., M.J.D., and J.B. wrote the manuscript. All authors contributed to overall editing and manuscript approval.