Literature DB >> 30594415

Gametocyte Sex Ratio: The Key to Understanding Plasmodium falciparum Transmission?

Fitsum G Tadesse1, Lisette Meerstein-Kessel2, Bronner P Gonçalves3, Chris Drakeley3, Lisa Ranford-Cartwright4, Teun Bousema5.   

Abstract

A mosquito needs to ingest at least one male and one female gametocyte to become infected with malaria. The sex of Plasmodium falciparum gametocytes can be determined microscopically but recent transcriptomics studies paved the way for the development of molecular methods that allow sex-ratio assessments at much lower gametocyte densities. These sex-specific gametocyte diagnostics were recently used to examine gametocyte dynamics in controlled and natural infections as well as the impact of different antimalarial drugs. It is currently unclear to what extent sex-specific gametocyte diagnostics obviate the need for mosquito feeding assays to formally assess transmission potential. Here, we review recent and historic assessments of gametocyte sex ratio in relation to host and parasite characteristics, treatment, and transmission potential.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Keywords:  Plasmodium falciparum; commitment to gametocytes; diagnosis; gametocytes; sex ratio; transmission

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Year:  2018        PMID: 30594415      PMCID: PMC6396025          DOI: 10.1016/j.pt.2018.12.001

Source DB:  PubMed          Journal:  Trends Parasitol        ISSN: 1471-4922


Sexual Commitment and First Appearance of Male and Female P. falciparum Gametocytes

The transmission of malaria from human to mosquito depends on the presence of gametocytes (see Glossary), sexual-stage Plasmodium parasites, in the peripheral blood. The development of gametocytes of P. falciparum takes 8–12 days and it involves transitions from committed rings, via early and intermediate stage gametocytes that are sequestered in the bone marrow and spleen (stages I–IV) 1, 2, 3, to mature male and female stage V gametocytes [4]. In other Plasmodium species, such as P. vivax, P. chabaudi, P. vinckei, and P. gallinaceum, gametocytes develop much more rapidly, typically within 3 days [5]. In controlled human malaria infections (CHMIs) less than 10% of all asexual P. falciparum parasites commit to form gametocytes 6, 7, and mature gametocytes typically comprise less than 5% of the circulating parasite biomass in natural infections [8]. Sexual commitment happens before the stage of schizogony 9, 10, 11, 12, and all merozoites derived from one schizont develop into either microgametocytes (males) or macrogametocytes (females) 13, 14. The lack of sex chromosomes in haploid Plasmodium hampers our understanding of the commitment to sexual differentiation and the timing of sex determination [15]. Sex determination could occur at the same moment when commitment to sexual differentiation is determined [13], or alternatively via a two-stage process in which sex determination happens after the decision on commitment to sexual differentiation. At the molecular level, the nuclear protein P. falciparum gametocyte development 1 (GDV1) triggers the first known part of the molecular cascade of commitment and acts as the upstream regulator of the DNA-binding protein AP2-G (PF3D7_1222600), by antagonizing heterochromatin protein 1 repression of AP2-G transcription [16]. Sufficient activation of AP2-G, the master transcriptional regulator of gametocytogenesis, represents the ‘point of no return’ in commitment to both male and female gametocytes 11, 17, 18. The molecular basis of sex determination, and its timing during development, is currently unknown. Here, we summarize historic and recent estimates of gametocyte sex ratio in natural infections and the limitations of older estimates that relied on microscopy. We present the merits and limitations of molecular tools for quantifying gametocyte sex ratio and review evidence for a sex-specific effect of antimalarial drugs on circulating gametocytes and the implications for malaria transmission potential.

Microscopy Is an Imperfect Tool for Quantifying Gametocyte Sex Ratio

In natural infections of P. falciparum, the sex ratio of circulating gametocytes is mostly female biased [19]. Only a few epidemiological studies have quantified female and male gametocytes separately with sex ratios ranging from a mean of ∼three to five females to one male (Table 1) 20, 21, 22, 23. Previously reported sex ratios are based mainly on microscopic examination of Giemsa-stained thick or thin blood smears, relying on subtle morphological differences between mature (stage V) macrogametocytes and microgametocytes [24] (Figure 1). Gametocyte sex determination by microscopy is challenging due to the typically low gametocyte densities and the difficulty of allocating a sex to the sparsely observed gametocytes 22, 25, 26, 27, 28. As an illustration of their sparseness, in a recent detailed study on gametocyte carriage in Burkina Faso, only 20% (95% confidence interval [CI] 14–27%) of patent asexual parasite carriers had microscopically detected gametocytes, and only 7% (95% CI 4–12%) had more than two gametocytes observed whilst enumerating against a conventional number of 500 white blood cells (∼0.06 μl of blood microscopically screened) [29]. The implications of low observed gametocyte counts for sex ratio precision are presented in Figure 1, indicating that observations based on 500 white blood cells can rarely lead to accurate gametocyte sex ratio estimates. Only by observing 50–100 gametocytes can a reproducible sex ratio be calculated (Figure 1D) 8, 19, and this is hardly ever attainable by routine microscopy. Microscopic investigation of gametocyte sex can be improved by concentrating gametocytes with magnetic enrichment [30], assuming it enriches male and female gametocytes equally, allowing more gametocytes to be examined. The accuracy of differentiating male and female gametocytes can be further improved by targeting proteins or transcripts that are preferentially expressed in a specific sex using immunofluorescence or probe-based hybridization assays, respectively. Assays that target stage-specific expression of transcripts, such as Pf77 (PF3D7_0621400) and Pfg377 (PF3D7_1250100), both enriched in female gametocytes 31, 32 and Pfg27 (PF3D7_1302100, detecting both sexes) 33, 34 have been reported previously. Immunofluorescence assays based on antibodies that bind proteins specific for early gametocytes such as Pfs16 (PF3D7_0406200) 14, 35, male gametocytes (α-tubulin II, PF3D7_0422300) 13, 14, 36, or female gametocytes (Pfg377, PF3D7_1250100) [13] have also been used. Insights into sex differences in the transcriptional and proteomic makeup are summarized in Box 1. These immunofluorescent assays alleviate common problems that complicate microscopic examination but their reliance on fluorescence microscopy greatly affects their deployment in the field. The recent development of molecular assays to quantify male and female gametocytes may allow more robust sex ratio determination at low gametocyte densities and easier application in field settings.
Table 1

Summary of Studies That Evaluated Sex Ratio in Natural Infections

SettingPopulationProportion maleaToolRefs
Mali, Burkina Faso, CameroonAsymptomatic gametocyte carriers0.14–0.51qRT-PCR[23]
The NetherlandsControlled human malaria infection volunteers0.29qRT-PCR[7]
MaliAsymptomatic gametocyte carriers0.30qRT-PCR[62]
AustraliaControlled human malaria infection volunteers0.20qRT-PCR[6]
Kenya, MaliAsymptomatic gametocyte carriers0.36qRT-PCR[34]
NigeriaSymptomatic malaria patients0.21Microscopy[75]
NigeriaSymptomatic children0.34Microscopy[87]
NigeriaSymptomatic malaria patients0.22Microscopy[88]
NigeriaSymptomatic malaria patients0.75Microscopy[76]
IndiaSymptomatic malaria patients0.31Microscopy[89]
NigeriaSymptomatic malaria patients0.20Microscopy[78]
NigeriaSymptomatic malaria patients0.05Microscopy[90]
NigeriaSymptomatic malaria patients0.14Microscopy[91]
SenegalSymptomatic children0.15Microscopy[92]
SenegalTotal population0.35Microscopy[93]
NigeriaAsymptomatic children0.42Microscopy[77]
TanzaniaNot applicableb0.34Indirect: calculated from inbreeding coefficient[94]
The GambiaNot applicablec0.22Indirect: calculated from inbreeding coefficient[94]
SudanNot applicabled0.07Indirect: calculated from inbreeding coefficient[94]
CameroonSymptomatic malaria patients0.22Microscopy[22]
Papua New GuineaNot applicableb0.04Indirect: calculated from inbreeding coefficient[95]
Papua New GuineaNot indicated0.18Microscopy[96]

Proportion male is defined as the proportion of all gametocytes that is male, [male gametocytes/(male + female gametocytes)].

Inbreeding coefficients calculated directly from oocyst selfing rates from mosquitoes.

Inbreeding coefficients calculated from allele frequencies in blood-stage infections, but sex ratios not determined in these patients. Patients were symptomatic children.

Inbreeding coefficients calculated from allele frequencies in blood-stage infections, but sex ratios not determined in these patients. Patients were symptomatic children and adults.

Figure 1

Intensive Microscopy-Based Quantification of Gametocyte Sex Ratio. In this figure, we use data generated by one of the authors (C.D.) in 1992–1993 to illustrate the likely error in gametocyte sex ratio estimation when determining the sex of only a few gametocytes per sample as routinely done in epidemiological studies. Briefly, 100–500 gametocytes were sexed per blood smear in 53 samples from 43 individuals living in malaria-endemic regions in The Gambia, and sex-specific counts were recorded in groups of 10 gametocytes. Light microscopy images of male and female gametocytes stained with Giemsa’s stain are shown in (A) for illustration. Female gametocytes are blue/violet (as opposed to pink males), more crescent-shaped, and have more compact nuclei and more centrally located pigment. In (B), x coordinates represent data from different samples, partially transparent to allow visualization of overlapping data points: red crosses (left y axis) correspond to the proportions of gametocytes identified as male-based on data from groups of 10 gametocytes or the total number of gametocytes, respectively; light blue bars represent the difference (right y axis) between the proportion of male gametocytes when considering only the first 10 gametocytes observed in each smear versus the proportion calculated based on the total number of gametocytes. This difference exemplifies the error that might occur in routine measurements that quantify only a limited number of gametocytes. In (C), the distribution of the proportion of male gametocytes in the different thick smears analyzed, based on the total number of gametocytes, is shown. Panel (D) presents the progressive reduction in error as the number of gametocytes counted increases. In this panel, the x axis corresponds to the cumulative number of gametocytes sexed, and the y axis corresponds to the difference in the proportion of male gametocytes relative to the same proportion when estimated based on all gametocytes observed in the smear. Each line represents a different sample, and colors relate to the overall proportion of male gametocytes in the smear. The rectangle delimited by the dashed lines encloses error values between −0.1 and 0.1 when 50–100 gametocytes were counted. Only data from thick smears were used in this figure.

Summary of Studies That Evaluated Sex Ratio in Natural Infections Proportion male is defined as the proportion of all gametocytes that is male, [male gametocytes/(male + female gametocytes)]. Inbreeding coefficients calculated directly from oocyst selfing rates from mosquitoes. Inbreeding coefficients calculated from allele frequencies in blood-stage infections, but sex ratios not determined in these patients. Patients were symptomatic children. Inbreeding coefficients calculated from allele frequencies in blood-stage infections, but sex ratios not determined in these patients. Patients were symptomatic children and adults. Intensive Microscopy-Based Quantification of Gametocyte Sex Ratio. In this figure, we use data generated by one of the authors (C.D.) in 1992–1993 to illustrate the likely error in gametocyte sex ratio estimation when determining the sex of only a few gametocytes per sample as routinely done in epidemiological studies. Briefly, 100–500 gametocytes were sexed per blood smear in 53 samples from 43 individuals living in malaria-endemic regions in The Gambia, and sex-specific counts were recorded in groups of 10 gametocytes. Light microscopy images of male and female gametocytes stained with Giemsa’s stain are shown in (A) for illustration. Female gametocytes are blue/violet (as opposed to pink males), more crescent-shaped, and have more compact nuclei and more centrally located pigment. In (B), x coordinates represent data from different samples, partially transparent to allow visualization of overlapping data points: red crosses (left y axis) correspond to the proportions of gametocytes identified as male-based on data from groups of 10 gametocytes or the total number of gametocytes, respectively; light blue bars represent the difference (right y axis) between the proportion of male gametocytes when considering only the first 10 gametocytes observed in each smear versus the proportion calculated based on the total number of gametocytes. This difference exemplifies the error that might occur in routine measurements that quantify only a limited number of gametocytes. In (C), the distribution of the proportion of male gametocytes in the different thick smears analyzed, based on the total number of gametocytes, is shown. Panel (D) presents the progressive reduction in error as the number of gametocytes counted increases. In this panel, the x axis corresponds to the cumulative number of gametocytes sexed, and the y axis corresponds to the difference in the proportion of male gametocytes relative to the same proportion when estimated based on all gametocytes observed in the smear. Each line represents a different sample, and colors relate to the overall proportion of male gametocytes in the smear. The rectangle delimited by the dashed lines encloses error values between −0.1 and 0.1 when 50–100 gametocytes were counted. Only data from thick smears were used in this figure. Molecular mechanisms underlying the differentiation switch towards becoming male or female gametocytes remain largely unknown. Candidate genes that may be associated with sex-specific differentiation include the AP2-G2 in P. berghei [18], the Puf family of translational repressors in P. falciparum 97, 98, and MAPK1 and MAPK2 as potential regulators of female and male gametocytogenesis in P. falciparum, respectively [63]. Male gametocytes are terminally differentiated forms with one last task ahead; producing motile microgametes upon activation. Proteomic and transcriptomic data reflect this, showing upregulation of genes involved in nucleic acid metabolism, DNA replication, and axoneme formation. Female gametocytes, on the other hand, contain many proteins and transcripts intended for longer term sustainment of postfertilization stages, including genes involved in protein biosynthesis, degradation, transport, and metabolic activity. Another important female gametocyte-specific mechanism is translational repression in which stored transcripts support cellular processes immediately after fertilization, when transcription is absent for multiple hours 99, 100. The deletion of genes involved in the maintenance of translationally repressed mRNA transcripts, such as DOZI [101] and CITH [102] in P. berghei, results in full developmental arrest during ookinete formation, although fertilization is successful. The first indication that translational repression is also active in P. falciparum was obtained through deletion of Puf2, which resulted in altered expression of genes known to be translationally repressed, such as Pfs25 and Pfs28 103, 104. More recent proteomics and transcriptomics data have uncovered a large-scale translational repression of hundreds of transcripts in P. falciparum female gametocytes [41]. Alt-text: Box 1

New Molecular Techniques Improve Sex Ratio Quantification

Gametocyte detection has been improved in the last decade with the introduction and wider use of molecular detection tools. Baker et al. reported the first molecular assay for an indirect detection of gametocyte sexes based on in situ hybridization using a Pf77 RNA probe that targeted female gametocytes [31]. Assays were subsequently developed targeting the Pfs25 (PF3D7_1031000) transcript, which was considered highly specific for mature gametocytes, using qRT-PCR 37, 38 or real-time quantitative nucleic acid sequence-based amplification (QT-NASBA) [39]. Whilst highly sensitive, with an estimated sensitivity around 0.1 gametocytes per μl in 50–100 μl blood samples, this marker (Pfs25) has recently been shown to be expressed predominantly by female gametocytes 40, 41. Drew and Reece reported the first molecular approach to gametocyte sex ratio determination [28] in the rodent malaria parasite Plasmodium chabaudi using targets that were previously described in a proteomics study in Plasmodium berghei [42], based on the quantification of total gametocytes by common gametocyte gene 1 (CG1 or PSOP1: PCHAS_0620900) RNA, and male gametocytes by the male gametocyte-specific gene 1 (MG1, a putative dynein heavy chain: PCHAS_0417000). Schneider and colleagues [40] reported the first qRT-PCR assays that quantify female and male gametocytes in P. falciparum through quantification of a combination of female-enriched (Pfs25) and male-enriched (Pfs230p) transcripts. The higher limit of detection for male (1.8 male gametocytes/μl) compared to female gametocytes (0.3 female gametocytes/μl) in this assay, and the typical female bias in natural infections, may affect the sensitivity of sex ratio determination at low gametocyte densities. Recently, additional male gametocyte-enriched transcripts (Pf13, PF3D7_1311100 and PfMGET, PF3D7_1469900) were identified that improved the detection limit of male gametocytes to the level comparable with female gametocytes 34, 43. Details of all currently used transcripts for quantifying male and female gametocytes are provided in Box 2. Of note, none of the gametocyte markers are exclusively expressed in gametocytes of one sex 34, 43, and low levels of ‘gametocyte transcripts’ are also detectable in asexual-stage parasites [44]. The latter has implications for earlier statements on the high prevalence of gametocytes in P. falciparum-infected individuals. Whilst it remains plausible that (nearly) all infections produce gametocytes 6, 7, the initial wave of high asexual parasitemia that is observed in clinical malaria cases may coincide with false-positive gametocyte signals. This may result in an overestimation of gametocyte prevalence at the moment of sampling, in particular in clinical malaria cases [19]. Mature male and female gametocytes can be distinguished on the basis of light microscopy on Giemsa-stained thin smears [24], by electron microscopy 10, 105, by an immunofluorescence assay based on female- or male-enriched proteins and monoclonal antibodies 14, 35, and by sex-enriched transcripts 31, 32. Sex is not determined chromosomally, since haploid clone lines from a single haploid parasite can generate both male and female gametocytes 16, 106. Gametocyte identification is thus solely based on quantification of stage-specific expression of transcripts. Suitable targets for gametocyte diagnostics require high and stable expression of the gene in the stage and sex of interest. In Table I, the characteristics of the most important targets for gametocyte detection and quantification are summarized. Putative gametocyte sex markers rely on abundant transcript expression at the gametocyte stage and not in the asexual blood stage, with expression at other life stages being irrelevant. Importantly, Pfs25 expression in asexual blood-stage parasites is not completely absent 43, 44, 107 but approximately 100 000-fold reduced. This estimate is similar for other reported markers [44], and hence low gametocyte transcript numbers may be derived from asexual parasites. Gametocyte prevalence thus needs to be interpreted with caution, especially at higher parasite burdens (above 1000 parasites/μl). The high rate of expression of some male markers (Pf13 and Pf230p) [43] in mature trophozoites raises questions on the utility of these transcripts as differential sex-specific markers. During the dynamics of sequestration in the bone marrow and release into the peripheral blood, transcripts derived from these stages may be detected and could affect sex-specific quantification.
Table I

Gametocyte- and Sex-Specific Transcripts Currently Used in Molecular Detection Methods

Gene ID nameLimit of detectionDescription/putative functionFG:MG ratioaRemarksRefs
PF3D7_1031000Pfs250.01 FG/μlZygote and ookinete surface protein, necessary for infectivity, transmission-blocking vaccine candidate35.5837, 112
PF3D7_0630000No alias0.3 gametocytes/μlCPW-WPC family protein47.83Contains nine introns[111]
PF3D7_1351600PfGK0.3 FG/μlGlycerol kinase41.41[43]
PF3D7_0903800CCp40.1 FG/μlLCCL domain-containing protein, sexual-stage adhesion38.49Contains one intron[44]
PF3D7_0208900Pfs230p1.8 MG/μlGamete surface protein, knock out has no effect on fertilization0.02[40]
PF3D7_1469900PfMGET0.01 MG/μlConserved Plasmodium protein, unknown function0.02Contains two introns[34]
PF3D7_1311100Pf1322 MG/μlMeiosis-specific nuclear structural protein0.005[43]
PF3D7_1319800Pfg170.1 gametocytes/μlConserved Plasmodium protein, unknown function0.60Total gametocyte marker[113]

Ratio of transcript expression as detected by RNAseq in sex-sorted gametocytes, expressed as FPKM (fragments per kilobase million) values in female over male gametocytes [41].

Differential P. falciparum [41] and P. berghei [108] gene expression studies per sex are resources for identification of potential candidates and may be particularly informative when integrated with asexual expression levels [109]. These studies have uncovered an increasing number of ‘sex-specific transcripts’ (Table I) that are, however, not sex-specific in the strict sense but rather sex-enriched. The commonly used (female) gametocyte marker Pfs25 shows lower expression in male gametocytes compared to females, ranging from 35-fold lower as detected by RNAseq [41] to 200-fold lower using qRT-PCR [44]. Of note, spurious transcript expression in asexual parasites cannot be linked to (functional) protein expression, and so the biological relevance of transcripts of ‘gametocyte genes’ in asexual parasites remains unknown. For any mRNA target, qRT-PCR specificity can be enhanced if an intron-spanning region is targeted, as this ensures amplification of DNA derived from transcripts only, rather than genomic DNA, and avoids the need for DNase treatment that may decrease sensitivity of the assay through RNA damage [110]. The reliability of sex ratio determination can be further enhanced by multiplexing targets with the above features in one assay. For example, a multiplexed qRT-PCR that targets female gametocyte-specific (PF3D7_0630000) and total parasite (18S rRNA) transcripts, with no DNase treatment step, was introduced recently [111]. Similarly, a multiplex assay for male and female gametocytes with intron-spanning primers for both male (PfMGET) and female (CCp4) targets was recently proposed as a more scalable and robust approach to molecular gametocyte sex ratio assessments. Alt-text: Box 2 Gametocyte- and Sex-Specific Transcripts Currently Used in Molecular Detection Methods Ratio of transcript expression as detected by RNAseq in sex-sorted gametocytes, expressed as FPKM (fragments per kilobase million) values in female over male gametocytes [41].

Sex Ratio Plasticity in Response to a Changing Environment

Recently, molecular methods to accurately sex gametocytes have been used to assess the first appearance of mature male and female gametocytes after experimental infections. Gametocyte appearance is estimated to occur 10 days post blood-stage inoculum [6] or 8.5–12 days after the first detection of asexual parasites in the peripheral blood [7], supporting previous suggestions of gametocyte commitment during the first erythrocytic cycle of asexual parasites 45, 46. During infections, malaria parasites may respond to environmental cues to alter their investment into the transmission stages (reviewed in [19]). In addition to an overall increased investment in gametocytes 47, 48, malaria parasites may adjust their sex ratio to maximize the transmission success when under stress, such as that induced by immunity developing as the infection progresses. In an early observation of an individual deliberately infected with P. falciparum, the sex ratio changed from female biased to equal sexes over 13 days [49]. Data from the avian parasite Plasmodium gallinaceum and rodent malaria Plasmodium vinckei further suggest that the sex ratio in Plasmodium infections varies substantially during the course of an infection 50, 51, possibly in response to the host’s immune response, anemia, and gametocyte density 50, 52, 53. A change in concentration of erythropoietin, a hormone that controls erythrocyte production, causes an increase in the proportion of male gametocytes in P. vinckei and increases overall gametocyte density in P. gallinaceum [54] and P. chabaudi [55]. Competition between parasites of different genotype can also affect sex ratio. Hamilton’s theory of ‘local mate competition’ (LMC) [56] states that female-biased sex ratios are optimal when genetically-related males compete for mates; the optimal sex ratio for malaria parasites depends on the rate of self-fertilization (inbreeding rate), where sex ratio (here: proportion of male gametocytes) = (1 − f)/2, and f is Wright’s inbreeding coefficient [57]. When individuals are infected with a single or a low number of distinct parasite genotypes, inbreeding will be high and a female-biased sex ratio is predicted. As inbreeding levels fall with increased diversity of parasite genotypes within the infection, the optimal sex ratio will approach 0.5. In an experimental test of this theory, using the rodent malaria P. chabaudi where genetic diversity was adjusted deliberately, sex ratio became more male-biased as the number of genotypes present increased [52]. The effect of sex ratio on transmission success may depend on total gametocyte density [23]. In low-density infections, a larger investment in male gametocytes is favorable to increase the chance that all females are fertilized 58, 59. As male gametocytes can produce up to eight microgametes upon activation, female-biased gametocyte sex ratios contribute to a more balanced number of macro- and microgametes in the mosquito midgut [51]. At high gametocyte densities, a male-biased sex ratio leads to less efficient transmission [60], favoring a less male-biased ratio. Recently, molecular gametocyte sex ratio assays supported the density-dependency of sex ratio with a higher proportion of male gametocytes in low-density infections [23]. The same study also suggested that quantifying male and female gametocytes allowed a better prediction of mosquito infection rates as compared to previous estimates that quantified female gametocytes only [61], and that the number of male gametocytes may become a limiting factor in determining transmission success at low densities. These findings require replication, but potentially have important implications for gametocyte diagnostics. If male gametocytes are indeed a limiting factor for transmission, diagnostics that quantify male gametocytes might be better indicators of transmission potential than female gametocyte diagnostics that are currently most widely used. Differences in the longevity of male and female gametocytes can also contribute to sex ratio differences. Two studies have also hinted towards a shorter circulation time of male gametocytes upon clearance of the asexual progenitors 7, 62, although a third study observed identical circulation times [62]. An early study on induced P. vivax malaria also reported a shorter lifespan of male P. vivax gametocytes [49]. The different circulation time estimates may be influenced by differences in the ability to detect male and female gametocytes (including a lower sensitivity of male markers 6, 34) but are potentially highly important to understand the duration of infectiousness of gametocyte carriers. There is currently no published evidence on differences between male and female gametocytes in maturation or longevity in vitro. Longitudinal studies are needed to understand the dynamics of male and female gametocyte densities during natural infections and their impact on transmissibility. If Plasmodium can indeed alter sex ratio in response to environmental cues, an essential outstanding question is what governs sex allocation. Candidate genes that may be associated with sex-specific regulation (other than or in addition to AP2-G) include MAPK1 (PF3D7_1431500) as potential regulator of female gametocytogenesis, and MAPK2 (PF3D7_1113900) as possible regulator of male gametocytogenesis [63]. Given the 10–12 day maturation time in P. falciparum infections and early commitment to the sexual stage (and plausibly gametocyte sex), any response to environmental triggers must involve significant ‘planning ahead' and cross-talk between potentially very low numbers of gametocytes or precursors. Even if environmental signals are as rapidly translated into elevated gametocyte conversion rates as recently shown for P. chabaudi [64], it will only have an effect after full maturation. One speculative option that would allow P. falciparum to rapidly respond to environmental triggers is the bone marrow reservoir for gametocytes. It is conceivable that mature gametocytes may not all be immediately released upon completion of maturation but may be in part retained for release upon environmental stimuli. Our understanding of environmental factors that influence gametocyte sex ratio is incomplete. Moreover, some of the ‘known’ stimuli for overall investment in gametocyte production appear uncertain when assessed with current methodologies [65] and thus require re-examination. Useful markers to examine stimuli for gametocyte production and sex allocation include parasite AP2-G transcripts 11, 17, 18, the host factor lysophosphatidylcholine [65] and molecular markers to distinguish early gametocytes (GEXP5, PF3D7_0936600 66, 67), immature gametocytes (Pfs16, PF14_0748) [35], and mature gametocytes of different sexes (Table 1) 68, 69, 70. Potential stimuli include anemia, antimalarial treatment, host immunity, and coinfections with other Plasmodium parasites or clones [19].

Antimalarials Influence Gametocyte Sex Ratio

Malaria parasites may alter their investment in asexual replication and transmission in response to drug pressure. Treatment with subcurative doses of antimalarial drugs has been shown to increase the rate of gametocytogenesis in the rodent malaria parasite P. chabaudi [71] and in laboratory strains of P. falciparum [72]. P. falciparum parasites may respond to their proliferation state rather than directly to the presence of drugs. Drug pressure may thus lead to an initial increased investment in asexual proliferation (aimed towards survival within the infected host) until survival is unlikely and a terminal investment in transmission occurs 64, 73. A direct effect of antimalarial drugs on a preferential production of male or female gametocytes has not been reported. By comparison, there is increasing evidence that antimalarial drugs may influence sex ratio through preferential clearance of gametocytes of either sex. In vitro drug tests suggest that male gametocytes are more sensitive to a range of antimalarial drugs compared to female gametocytes, with impaired male gametocyte fitness (reduction in exflagellation) at drug concentrations that do not affect female gametocyte fitness (as measured by activation into gametes) [20]. Antifolates, for example, may disproportionately affect males by inhibiting the folate-mediated pyrimidine synthesis required for DNA replication during exflagellation [20]. Although a sex-specific effect of antimalarial drugs has been proposed as an explanation for the early sterilizing effect of transmission-blocking antimalarials [74], gametocyte sex ratio assessments are not commonly incorporated in antimalarial drug efficacy clinical trials. Despite initial reports of a reduced duration of male gametocyte carriage [75], and a relative decrease in the proportion of male gametocytes [76] following artemisinin-combination treatment (ACT), no obvious pattern of a sex-specific effect of ACT emerges when all available data are examined (Figure 2). On the other hand, most available (microscopy-based) data suggest that treatment with non-ACTs (such as sulphadoxine-pyrimethamine, amodiaquine and chloroquine) results in a male-biased sex ratio shortly after treatment 77, 78, 79 (Figure 2). Whilst a single trial with molecular gametocyte sexing tools did not confirm this effect for sulphadoxine-pyrimethamine plus amodiaquine [62], it is intriguing to consider if this explains earlier observations on enhanced infectivity early after treatment with non-ACTs [80]. Recent evidence suggests that adding a single dose of the gametocytocidal drug primaquine to ACT is associated with male-biased sex ratios in the first 14 days after treatment, followed by a normalization to a female-biased ratio 34, 62 that may be a consequence of gametocyte release, ongoing gametocyte production, or a longer circulation time of female gametocytes. The most pronounced sex-specific effect may be exerted by the gametocytocidal drug methylene blue that appears to preferentially clear male gametocytes 62, 81, 82.
Figure 2

Forest Plot on Proportion of Male Gametocytes before and after Treatment. This plot summarizes available clinical trial data on the effect of antimalarials on gametocyte sex ratio. Indicated are the proportion of gametocytes that were male before treatment (open symbols) and after treatment (closed symbols; at day 7 post-treatment – if earlier, indicated with asterisks). Study drugs are indicated on the y axis and grouped by nonartemisinin-based combination therapies (non-ACTs), ACTs, and drug combinations with a gametocytocidal compound. Blue symbols indicate a shift towards males, and red indicates a shift towards more females surviving; based on nonoverlapping confidence intervals. In most cases estimates indicate the mean and 95% confidence interval; for two studies 34, 62 it is median and interquartile range. Abbreviations: ACT, artemisinin-combination treatment; AL, artemether-lumefantrine; AQ, amodiaquine; AS, artesunate; COT, cotrimoxazole; CQ, chloroquine; DP, dihydroartemisinin-piperaquine; MQ, mefloquine; P, probenecid; PQ, primaquine; PS, Pyrimethamine–sulfadoxine; SP, sulfalene–pyrimethamine. See also 76, 77, 78, 79, 90, 91.

Forest Plot on Proportion of Male Gametocytes before and after Treatment. This plot summarizes available clinical trial data on the effect of antimalarials on gametocyte sex ratio. Indicated are the proportion of gametocytes that were male before treatment (open symbols) and after treatment (closed symbols; at day 7 post-treatment – if earlier, indicated with asterisks). Study drugs are indicated on the y axis and grouped by nonartemisinin-based combination therapies (non-ACTs), ACTs, and drug combinations with a gametocytocidal compound. Blue symbols indicate a shift towards males, and red indicates a shift towards more females surviving; based on nonoverlapping confidence intervals. In most cases estimates indicate the mean and 95% confidence interval; for two studies 34, 62 it is median and interquartile range. Abbreviations: ACT, artemisinin-combination treatment; AL, artemether-lumefantrine; AQ, amodiaquine; AS, artesunate; COT, cotrimoxazole; CQ, chloroquine; DP, dihydroartemisinin-piperaquine; MQ, mefloquine; P, probenecid; PQ, primaquine; PS, Pyrimethamine–sulfadoxine; SP, sulfalene–pyrimethamine. See also 76, 77, 78, 79, 90, 91. One important outstanding question is whether transmission potential is predictable after treatment based on gametocyte density and sex ratio, or whether mosquito feeding assays remain essential to predict transmission potential after treatment 74, 83. The strong association between gametocyte density and mosquito infection rates that is observed before treatment 23, 84 may be retained 62, 85 or lost after treatment [84]. If the quantification of gametocyte sex ratio allows mosquito infection rates to be predicted with acceptable precision, this may obviate the need for mosquito feeding assays in antimalarial drug trials. Another scenario is that drugs may sterilize gametocytes, either of both sexes, or preferentially affecting one sex, without immediately affecting their circulation time. Under this scenario mosquito transmission assays will continue to be essential to estimate the effects of antimalarial drugs on transmission potential.

Concluding Remarks

The transmission of P. falciparum to mosquitoes represents a developmental bottleneck in terms of parasite numbers; at the same time it is a very efficient process that may even increase in efficiency once transmission intensity declines [86]. For successful fertilization in the mosquito midgut, sufficient numbers of male and female gametocytes need to be generated during infections. Quantifying both male and female gametocytes therefore plausibly allows a better prediction of infectivity than the total gametocyte biomass or simple measurement of (the more abundant) female gametocytes [23]. Quantifying the densities of male and female gametocytes may also assist in the evaluation of the transmission-blocking properties of antimalarial drugs but at present cannot replace mosquito feeding assays to provide definitive evidence of post-treatment transmission potential (see Outstanding Questions). Changes in total parasite density or gametocyte density by antimalarial drugs or other environmental factors may promote malaria parasites to adjust their investment in transmission stages; this may be by increasing commitment to gametocytes or by increasing the proportion of male gametocytes to maximize transmission success [23]. Whilst of clear value in this respect, previously published assessments of gametocyte sex ratio are affected by the limited sensitivity of microscopy for gametocyte detection and sexing. With the recent development of molecular tools to enumerate male and female gametocytes, presumed environmental stimuli for sex ratio adjustment should be reconsidered. For such studies to provide reliable estimates, it is essential to acknowledge the presence of low levels of male and female gametocyte transcripts in both sexes and in asexual parasites, which necessitates a careful interpretation of gametocyte prevalence estimates in samples from patients with high total parasite burden and a careful interpretation of extreme sex ratios. What are the sensing mechanisms and stimuli that allow malaria parasites to adjust their sex ratio? Do male and female gametocytes differ in longevity or the duration of infectivity? What range of gametocyte sex ratio allows transmission under different conditions? Do different clones within the same infection vary in gametocyte sex ratio, and how does this affect their transmission? Do antimalarial drugs prevent transmission by means of gametocyte sterilization rather than gametocyte clearance? Can robust quantification of male and female gametocytes replace mosquito feeding assays?
  110 in total

1.  COS cell expression cloning of Pfg377, a Plasmodium falciparum gametocyte antigen associated with osmiophilic bodies.

Authors:  P Alano; D Read; M Bruce; M Aikawa; T Kaido; T Tegoshi; S Bhatti; D K Smith; C Luo; S Hansra; R Carter; J F Elliott
Journal:  Mol Biochem Parasitol       Date:  1995-11       Impact factor: 1.759

2.  Cellular location and temporal expression of the Plasmodium falciparum sexual stage antigen Pfs16.

Authors:  M C Bruce; R N Carter; K Nakamura; M Aikawa; R Carter
Journal:  Mol Biochem Parasitol       Date:  1994-05       Impact factor: 1.759

3.  Plasmodium falciparum gametocyte carriage, emergence, clearance and population sex ratios in anaemic and non-anaemic malarious children.

Authors:  Grace Olusola Gbotosho; Akintunde Sowunmi; Titilope Modupe Okuboyejo; Christian Tientcha Happi; Obaro Stanley Michael; Onikepe Abiola Folarin; Elsie Olufunke Adewoye
Journal:  Mem Inst Oswaldo Cruz       Date:  2011-08       Impact factor: 2.743

4.  Quantification of Plasmodium falciparum gametocytes in differential stages of development by quantitative nucleic acid sequence-based amplification.

Authors:  Petra Schneider; Gerard Schoone; Henk Schallig; Danielle Verhage; Denise Telgt; Wijnand Eling; Robert Sauerwein
Journal:  Mol Biochem Parasitol       Date:  2004-09       Impact factor: 1.759

Review 5.  Application of molecular methods for monitoring transmission stages of malaria parasites.

Authors:  Hamza A Babiker; Petra Schneider
Journal:  Biomed Mater       Date:  2008-08-15       Impact factor: 3.715

6.  Evidence for environmental modulation of gametocytogenesis in Plasmodium falciparum in continuous culture.

Authors:  R Carter; L H Miller
Journal:  Bull World Health Organ       Date:  1979       Impact factor: 9.408

7.  Infectivity of asymptomatic Plasmodium-infected human populations to Anopheles dirus mosquitoes in western Thailand.

Authors:  Russell E Coleman; Chalermpon Kumpitak; Alongkot Ponlawat; Nongnuj Maneechai; Vichit Phunkitchar; Nattawan Rachapaew; Gabriella Zollner; Jetsumon Sattabongkot
Journal:  J Med Entomol       Date:  2004-03       Impact factor: 2.278

8.  A multiplex assay for the sensitive detection and quantification of male and female Plasmodium falciparum gametocytes.

Authors:  Lisette Meerstein-Kessel; Chiara Andolina; Elvira Carrio; Almahamoudou Mahamar; Patrick Sawa; Halimatou Diawara; Marga van de Vegte-Bolmer; Will Stone; Katharine A Collins; Petra Schneider; Alassane Dicko; Chris Drakeley; Ingrid Felger; Till Voss; Kjerstin Lanke; Teun Bousema
Journal:  Malar J       Date:  2018-11-29       Impact factor: 2.979

9.  Development of reverse-transcription PCR techniques to analyse the density and sex ratio of gametocytes in genetically diverse Plasmodium chabaudi infections.

Authors:  Damien R Drew; Sarah E Reece
Journal:  Mol Biochem Parasitol       Date:  2007-08-21       Impact factor: 1.759

10.  Enhanced detection of gametocytes by magnetic deposition microscopy predicts higher potential for Plasmodium falciparum transmission.

Authors:  Stephan Karl; Makindi David; Lee Moore; Brian T Grimberg; Pascal Michon; Ivo Mueller; Maciej Zborowski; Peter A Zimmerman
Journal:  Malar J       Date:  2008-04-25       Impact factor: 2.979

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1.  Insights into Plasmodium vivax Asymptomatic Malaria Infections and Direct Skin-Feeding Assays to Assess Onward Malaria Transmission in the Amazon.

Authors:  Marta Moreno; Katherine Torres; Carlos Tong; Stefano S García Castillo; Gabriel Carrasco-Escobar; Gerson Guedez; Lutecio Torres; Manuela Herrera-Varela; Layné Guerra; Mitchel Guzman-Guzman; Daniel Wong; Roberson Ramirez; Alejandro Llanos-Cuentas; Jan E Conn; Dionicia Gamboa; Joseph M Vinetz
Journal:  Am J Trop Med Hyg       Date:  2022-06-13       Impact factor: 3.707

2.  qRT-PCR versus IFA-based Quantification of Male and Female Gametocytes in Low-Density Plasmodium falciparum Infections and Their Relevance for Transmission.

Authors:  Maria Gruenberg; Natalie E Hofmann; Elma Nate; Stephan Karl; Leanne J Robinson; Kjerstin Lanke; Thomas A Smith; Teun Bousema; Ingrid Felger
Journal:  J Infect Dis       Date:  2020-02-03       Impact factor: 5.226

Review 3.  Plasmodium-a brief introduction to the parasites causing human malaria and their basic biology.

Authors:  Shigeharu Sato
Journal:  J Physiol Anthropol       Date:  2021-01-07       Impact factor: 2.867

Review 4.  From Genes to Transcripts, a Tightly Regulated Journey in Plasmodium.

Authors:  Thomas Hollin; Karine G Le Roch
Journal:  Front Cell Infect Microbiol       Date:  2020-12-17       Impact factor: 5.293

5.  Increased investment in gametocytes in asymptomatic Plasmodium falciparum infections in the wet season.

Authors:  Colins O Oduma; Sidney Ogolla; Harrysone Atieli; Bartholomew N Ondigo; Ming-Chieh Lee; Andrew K Githeko; Arlene E Dent; James W Kazura; Guiyun Yan; Cristian Koepfli
Journal:  BMC Infect Dis       Date:  2021-01-09       Impact factor: 3.090

6.  Gene Polymorphisms Among Plasmodium vivax Geographical Isolates and the Potential as New Biomarkers for Gametocyte Detection.

Authors:  Anthony Ford; Daniel Kepple; Jonathan Williams; Gabrielle Kolesar; Colby T Ford; Abnet Abebe; Lemu Golassa; Daniel A Janies; Delenasaw Yewhalaw; Eugenia Lo
Journal:  Front Cell Infect Microbiol       Date:  2022-01-13       Impact factor: 5.293

7.  Novel Method for the Separation of Male and Female Gametocytes of the Malaria Parasite Plasmodium falciparum That Enables Biological and Drug Discovery.

Authors:  Melanie C Ridgway; Kwong Sum Shea; Daniela Cihalova; Alexander G Maier
Journal:  mSphere       Date:  2020-08-12       Impact factor: 4.389

Review 8.  Targeting Gametocytes of the Malaria Parasite Plasmodium falciparum in a Functional Genomics Era: Next Steps.

Authors:  Jyotsna Chawla; Jenna Oberstaller; John H Adams
Journal:  Pathogens       Date:  2021-03-16

Review 9.  Plasmodium falciparum and Plasmodium vivax Adjust Investment in Transmission in Response to Change in Transmission Intensity: A Review of the Current State of Research.

Authors:  Colins O Oduma; Cristian Koepfli
Journal:  Front Cell Infect Microbiol       Date:  2021-12-08       Impact factor: 5.293

10.  Infectivity of patent Plasmodium falciparum gametocyte carriers to mosquitoes: establishing capacity to investigate the infectious reservoir of malaria in a low-transmission setting in The Gambia.

Authors:  Abdullahi Ahmad; Harouna M Soumare; Muhammed M Camara; Lamin Jadama; Pa Modou Gaye; Haddy Bittaye; John Bradley; Jane Achan; Teun Bousema; Umberto D'Alessandro; Chris Drakeley; Marta Moreno
Journal:  Trans R Soc Trop Med Hyg       Date:  2021-12-02       Impact factor: 2.184

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