Background

Plasmodium falciparum-encoded variant surface antigens (VSA) are expressed on the surface of infected erythrocytes (IE) and mediate binding to a range of endothelial cell receptors [1]. Endothelial adhesion contributes to the particular virulence of the P. falciparum and most likely has evolved as a mechanism to avoid parasite clearance in the spleen [24]. Individuals living in areas of intense parasite transmission develop immunity towards severe malaria early in life [5]. Parasites causing severe malaria in young children with limited pre-existing immunity tend to express a limited, relatively conserved subset of VSA (VSASM) that is more often and better recognized by antibodies from most parasite-exposed individuals than the larger and more diverse VSAUM subset expressed by parasites causing uncomplicated malaria [68]. It thus appears that expression of VSASM confers a selective advantage in non-immune individuals, perhaps by allowing particularly efficacious endothelial sequestration and consequently high effective growth rates. The best characterized VSA are the var gene-encoded P. falciparum erythrocyte membrane protein 1 (PfEMP1) family [911]. Each haploid parasite genome contains 50–60 var genes, of which the 59 var genes annotated in the fully sequenced P. falciparum clone 3D7 can be divided into three major groups, A, B and C, based on sequence analysis [12, 13]. The functional relevance of this grouping is supported by the parallel differences in CD36-binding characteristics of PfEMP1 CIDR1α domains. Thus, GroupA CIDR1α domains do not bind CD36, whereas CIDR1α domains encoded by GroupB and GroupC var genes do [14]. The 3D7 PfEMP1 repertoire may well represent the VSAUM -VSASM spectrum observed in field isolates, and recent findings point to GroupA as encoding VSASM-type PfEMP1 molecules in patient isolates [13, 1517]. Unfortunately, little is known about var gene expression in vivo, and studies have been frustrated by the difficulties in detecting and quantifying expression in parasites with unknown var gene repertoires. This difficulty has been overcome by taking advantage of the knowledge of the var gene repertoire in 3D7 and analyzing var gene expression in NF54 parasites (the parental line of 3D7) isolated from non-immune individuals experimentally infected by mosquito challenge. Immediately upon release from the liver, the parasites appeared to transcribe all var genes, with GroupA genes being the least transcribed. However, within one or two parasite generations this pattern changed, in particular in those parasites exhibiting the fastest in vivo growth rates. Here, only a few genes dominated the var transcript population. The data indicate that PfEMP1-determined differences in growth rates shape the expressed PfEMP1 repertoire, and that some PfEMP1 variants confer high effective parasite multiplication rates in non-immune individuals.

Materials and methods

Malaria parasites

Parasites were isolated from Dutch volunteers exposed to mosquitoes infected with P. falciparum isolate NF54[18] as part of ongoing studies of experimental P. falciparum infections. On day 0, ten non-immune volunteers were subjected to two or five infectious bites. Chloroquine treatment was initiated on the first day a thick smear was positive. Parasite cultures were established from 400 microlitres of packed blood cells drawn on days 8, 9, and 10 and parasites were cultured in vitro for 27 or 33 days (Figure 1) to obtain sufficient parasite material for DNA, RNA and protein analysis. The parasites were cultured in 0 Rh+ erythrocytes as described [19], with the addition of 2% non-immune human serum to the culture media. Long-term in vitro 3D7 cultures expressing VSAUM-type antigens or selected in vitro to express VSASM-type antigens were used as controls[20].

Figure 1
figure 1

A: Parasite densities in the six volunteers from whom parasite isolates were established. Note that parasitaemia scales are different. Closed circles indicate time points where parasite density was determined by PCR. Time points where blood samples were cultured successfully are underlined. A cross indicates time of chloroquine treatment. B: Representation of parasite generation and stage composition of a P. falciparum infection after liver release. Parasites were first detected on day 6,33. Estimates of parasite release from the liver (~24 hours, over all volunteers), duration of circulating stages (1,18 days) and adhesive stages (0,64 days) were taken from reference 24. Time of blood sampling is framed. When sampling blood the early circulating stages are isolated, i.e. blood drawn on day 8 predominantly contains first-generation parasites after liver release.

DNA, RNA, cDNA and quantitative real-time PCR

The development of parasitaemia was monitored by quantitative real-time PCR as described [21]. DNA, RNA and cDNA for var gene transcription analysis were prepared from synchronized parasite cultures as described [17]. Quantitative real-time PCR was performed using a Rotorgene thermal cycler system (Corbett Research, Motlake, Australia). Real-time PCR-optimized and gene-specific primers for each of all full-length var genes and a pseudogene in the 3D7 isogenic NF54 P. falciparum genome were those described in [22], except for PFI1830c. Real time primers for this gene were forward 5'ACAACAATTTCGCAAGCAAG 3', reverse 5'TTCCTCTGCCTCCTCTTCAT 3'. Standard curves for the estimation of product-related fluorescent bias and amplification efficiencies were generated for all primer pairs. For 15 primer sets, standard curves were generated both from dilution series of genomic DNA and from cloned gene fragments [17]. As the two approaches led to identical standard curves (not shown), standard curves for the remaining genes were determined from genomic DNA only. The standard curves were linear across a range of seven logs of DNA concentrations (R = 0.9779 to 0.9995) with amplification efficiencies between 90 and 101%. Standard curves were used for primer bias corrections in calculations of absolute transcript levels. The detection limit of the system was ≥ 20 copies. The housekeeping genes seryl-tRNA synthetase and fructose-bisphosphate aldolase have uniform transcription profiles throughout the parasite life cycle[22], and were used as endogenous controls. Differences in var transcript distribution between samples were calculated by the ΔΔ CT method using the endogenous controls for normalization.

Immunoblot analysis and flow cytometry

Immunoblot analysis was performed as previously described [17]. Flow cytometryand plasma from malaria-exposed children and adults were used to classify the VSA expressed by parasites isolated on days 8, 9 and 10 as previously described[7, 20, 23]

Results

Experimental infections and establishment of parasite culture lines

Successful infections were established in eight of the 10 volunteers. Despite low parasitaemias, a total of 13 parasite culture lines from blood collected from six of the volunteers at three time points after infection were established (Figure 1A). The highest parasite growth rates were observed in volunteers 1 and 2 with peak parasitaemias of 13,832 parasites/ml and 4,637 parasites/ml, respectively, whereas peak parasitaemias in all other volunteers were below 1,400 parasites/ml. As recognized from previous similar human vaccination trials [21], parasitaemias fluctuated in a distinct manner, probably reflecting liver release, sequestration of trophozoite/schizonts and release of new generations of merozoites from schizonts. Parasites obtained on day 8 were predominantly first-generation blood parasites, assuming that parasites were released from the liver between days 6,33 and 7,33[24] (Figure 1B). Similarly, day9 parasites were assumed to represent second-generation parasites, and day10 parasites a mixture of second and third generation parasites.

Uniform transcription of var genes in first-generation asexual parasites

The pattern of var gene transcription was surprisingly consistent in all the six parasite lines obtained on day8 from six of the volunteers (Figure 2). Transcripts of all var genes could be detected in ring-stage cultures, and most were transcribed at roughly similar levels. Interestingly, nine of the 10 lowest transcribed genes belonged to var subgroup A or B/A, which have previously been associated with severe malaria [13]. In agreement with previous studies [17] all var genes were transcribed at markedly lower levels in thetrophozoite/schizont-stage compared to ring-stage parasites (data not shown). The pseudo-gene PFE1640w (var1) behaved differently and was expressed at similar levels by late stage parasites, comprising approximately 20% of the total number of var gene transcripts in trophozoite-stage parasites (data not shown).

Figure 2
figure 2

Var gene transcription profile of NF54 ring-stage parasite cultures established on day 8 from six volunteers. The mean transcription levels ± 1 SD of primer bias-corrected and normalized values of the six cultures are shown relative to the overall mean var transcription level. Var gene name and group are indicated.

Marked changes in the var gene transcription patterns from the first to the second and third generations of asexual parasites

The var gene transcription patterns of the five isolates obtained on day9 and the two obtained at day10 were different from those of the day8 isolates, in particular in the isolates obtained from volunteers 1 and 2 in whom high parasite growth was observed (Figure 1 and 3). Ring-stage parasites from volunteer 1 showed remarkably large transcriptional changes for five var genes. Four (PF11_0008, PFD1235w, MAL6P1.1, MAL7P1.55) were transcribed at much higher (>20-fold) and one gene (PFA0015c) at markedly lower levels (12-fold) in the day10 isolate compared to the day8 isolate. The estimation of absolute copy numbers (not shown) revealed that PF11_0008, MAL6P1.1 and MAL7P1.55 were the three highest transcribed var genes in the day10 isolate, comprising approximately 22%, 40% and 8% of all var transcripts, respectively. The abovementioned five genes also showed the most pronounced changes in gene transcription (10–20 fold) when trophozoite stage parasites from days 8 and 10 were compared. The most prominent change among ring-stage parasites from volunteer 2 was the 15-fold increased transcription of PFD0020c, which was the highest (~8%) transcribed var gene in the day 9 isolate (Figure 3). Only minor changes in var gene transcription patterns between days 8 and 9/10 were observed in the parasites isolated from volunteer 4, 6 and 10.

Figure 3
figure 3

Fold difference in var gene transcription between NF54 ring-stage parasites isolated from the same volunteer on different days. Genes are sorted by gene groups as defined in [13]. Note that the fold-change scale for volunteer 1 is different from the other panels. Vertical dashed lines mark an arbitrarily defined two-fold cut off value for biologically significant changes in var gene transcription. Experiments with volunteer 1 were repeated three times and results are shown as means ± SD.

Overall, none of the var genes had a consistently altered transcript proportion in all volunteers. However, transcription of seven genes (PFD0005w, PFD0020c, PFD1235w, MAL6P1.1, PF10_0406, PF11_0007 and PFL0005w) increased in more than one volunteer, whereas transcription of three genes (PFA0015c, MAL6P1.4 and PFE1640w) decreased in more than one volunteer (Figure 3). In general, analysis of ring-stage and trophozoite/schizont-stage parasites yielded similar results.

Expected changes in PfEMP1 expression between first, second and third generation asexual parasites were confirmed by western blot analysis

To investigate PfEMP1 translation in the 13 isolates, western blot analysis were performed on protein extractions of trophozoite/schizont-stage cultures using rabbit and murine antisera raised against the conserved acidic terminal segment (ATS) and against DBL5δ of PFD1235w, respectively (Figure 4). The analysis of parasites from volunteer 1 revealed differential expression from day8 to day10 (Figure 4A). Thus, a high molecular weight band of around 400 kDa was seen only in the day 10 culture when using the ATS-specific antibody (Figure 4A). This band size corresponds to the expected size of PFD1235w, which also exhibited a large increase in transcription from day8 to day10 among parasites from this donor, and its identity was confirmed using the PFD1235w DBL5δ antibody (Figure 4B). PFD1235w could not be detected in any of the other cultures, although small increases in transcription were found in several of the cultures (not shown). Two bands of 350 kDa and 260 kDa were particularly intense in the day10 culture of volunteer 1 (Figure 4A). This finding correlates with the expected sizes and elevated transcription of PF11_0008 (345 kDa), MAL6P1.1 and MAL7P1.55 (both ~258 kDa). Transient bands at around 230 kDa and 310 kDa appeared to emerge on day 9 and disappear on day 10 in the cultures of volunteer 1. No obvious identity could be assigned to these proteins. In the remaining cultures, differential PfEMP1 expression detected by the ATS antibody was found in volunteers 6 and 10. In both cases a band of 310 kDa was observed in day10 and 9 parasites, respectively. The best candidate gene for this band is PFD0005c, which is predicted to have the observed size and was found to be more highly transcribed in the these cultures. All day 8 cultures were very similar and all appeared to dominantly express PfEMP1s around 260 kDa, which corresponds to the expected sizes of the highest transcribed genes in these cultures (figure 2).

Figure 4
figure 4

PfEMP1 expression in trophozoite-stage cultures of unselected 3D7 (3D7UM), 3D7 selected for expression of VSASM-type IE surface antigens (3D7SM) and of NF54 established from six volunteers on different days after infection. A: Western blot using antibodies (αATS) targeting the acidic terminal segment (ATS), which is conserved between most PfEMP1 types. Black arrows indicate changes in protein expression between isolates of the same volunteer. B: Western blot identifying the αATS-detected 400 kDa band in the day 10 culture of volunteer 1 as PFD1235w/VAR4 using an αDBL5δ antibody. VAR4 is expressed on the surface of the 3D7SM line selected for high immune serum recognition [17].

Second and third generation parasites express VSA that are recognized more frequently by immune plasma than first generation parasites

The VSA phenotype of parasites can be classified relative to each other and in the spectrum between VSASM and VSAUM, depending on the proportion of individuals from an endemic area that possess antibodies to the expressed VSA [7, 20]. To establish their VSA phenotype, the serological recognition of the isolated NF54 parasites was tested using a panel of plasma obtained from children and adults living in Coastal Ghana (Figure 5). All day 8 parasite isolates, representing the first generation of asexual blood-stage parasites, expressed VSA that were recognized by IgG in plasma samples from only a minority of the children and from about half of the adults (Figure 5). These parasites were also less well recognized than the standard 3D7 VSAUM line, which dominantly expresses PfEMP1 encoded by GroupC var genes. The seven lines isolated on days 9 or 10 all expressed VSA that were more frequently recognized than the corresponding day8 line (P = 0.01, Wilcoxon signed-ranked test). This trend was particularly clear for the day9/10 lines from volunteers 1, 2 and 10, which were recognized by all of the plasma samples from adults and from the majority of the children, similarly to the recognition of 3D7 selected for expression of VSASM-type IE surface antigens (Figure 5). However, quantitatively the serum recognition of all isolates was lower than that of the 3D7SM line (data not shown). The 3D7 VSASM line has been selected for VSASM expression using IgG from semi-immune children and dominantly expresses the product of PFD1235w (VAR4) on the surface on infected erythrocytes. Interestingly, parasites from volunteers 1, 2 and 10 had an increased transcription of a particular var gene (PFD1235w; var4) (Figure 2) as does 3D7 in response to selection for VSASM expression[17].

Figure 5
figure 5

Plasma recognition profiles of trophozoite-stage cultures of NF54 established from six volunteers on different days after infection. Profiles of unselected 3D7 (UM) and 3D7 selected in vitro for expression of VSASM-type IE surface antigens (SM) are shown for comparison. Recognition was measured by flow cytometry using IgG from Ghanaian adults and children (see Materials and Methods). Filled boxes indicate mean FITC-fluorescenceindex (MFI)abovea cut-off defined by the mean + 2 standard deviations of 8 Danish control plasma.

Discussion

The inter- and intra-clonal variability of the var genes have frustrated attempts to investigate the roles of the encoded PfEMP1 proteins in pathogenesis and protection. The most common strategy has been to quantify var transcription by counting the frequency of unique sequence tags, amplified by degenerate primers targeting semi-conserved blocks of DBL domains. This has been used to study phenotypically distinct laboratory lines [10, 2529]and parasite strains isolated from patients with defined clinical outcomes [16, 3032] The only previous study of var gene transcription in experimentally infected humans also applied this strategy [33]. However, it requires the sequencing of a large number of clones for statistical significance and is inherently susceptible to primer bias. Together, this makes data interpretation difficult. To overcome these difficulties, sensitive and gene-specific tools were used to analyse in detail the pattern and dynamics of var gene expression in non-immune volunteers infected with a parasite with a known var gene repertoire. The necessity for in vitro expansion of parasites from blood samples with submicroscopic parasitaemias makes this approach susceptible to two separate types of bias. Firstly, cultures were established from a relatively small number of parasites and the transcription profiles of these parasites may not represent the profile of the entire in vivo population. However, in most cultures the founder population was between 100 and 4,000 parasites, and only two cultures, which did not exhibit biased transcription patterns (day 8 culture of volunteers 1 and 4) were established from less than 100 parasites. Secondly, P. falciparum has been reported to switch var gene expression at variable rates in vitro [34, 35]. Hence, the var gene expression in the cultures at the time of transcription analysis may not reflect the expression profile in vivo at the time of blood collection. The transcription profiles of the cultures isolated on day 8 were similar and different to the profiles of the parasites isolated on days 9 and 10. This, and the fact that the differential var gene transcription, translation and serological recognition of PfEMP1 correlated with parasite growth, however, indicates that in vitro switching did not invalidate the analyses.

No var gene was dominantly transcribed in the day 8 cultures. Instead, a relatively large group of genes belonging to var groups B and C were expressed at almost similar levels and interestingly, nine of the 10 lowest transcribed genes belonged to group A or B/A. These data imply that the PfEMP1 expression pattern at the beginning of the infection is broad and anticipatory. In addition, the consistent increase in recognition by immune sera with time of infection and the apparent association between high growth rates and differential expression of a few group A and B genes from first to second and third generation imply that it is the host environment that modulates the PfEMP1 expression. This is a plausible scenario because of the large and immediate differences in survival fitness that are likely to be imposed on the asexual parasites by the physiology and pre-existing immunity of the host. While most – or all – of the PfEMP1 variants that can be expressed by a given parasite will be exposed to the immune system according to this model, the majority of the variants are likely to be present too briefly to induce a significant immune response. Crucially, survival fitness differences depend on which PfEMP1 variants are being expressed and necessitate a parasite response much faster than which can be achieved by switching to advantageous var genes. Although differences in switching rates can contribute to the pattern of var gene expression [35] and may well be responsible for the differences in transcription observed on day 8 (Figure 2), differences in survival rates may be far more important in focusing and ordering PfEMP1 expression in vivo. In non-immune individuals this process would be expected to focus expression on the restricted and relatively conserved subset of VSA (VSASM) associated with severe disease in patients with little pre-existing immunity [13, 17] It has previously been documented that in vitro selection of 3D7 for acquisition of the VSASM phenotype is associated with expression of a subset of var genes [[15]. Strikingly, four of the five marked differentially transcribed genes (PF11_0008, PFD1235w, MAL7P1.55 and PFA0015c) in the volunteer 1 cultures, were among the few genes differentially transcribed genes upon selection for the 3D7SM phenotype, in which there was selection for expression of PF11_0008, PFD1235w and MAL7P1.55 and against expression of PFA0015.

In the study of Peters et al [33] the clone frequency strategy was used to investigate var transcription profiles of parasites isolated from two volunteers on day 12 and 13 after infection with 3D7 by eight or nine infectious mosquito bites. One transcript, PF11_0007, belonging to var group B, comprised half of the 39 and 41 sequences cloned from the two volunteers respectively. In total 10 and nine different var tags were found and only one belonged to var group A. The parasites were predicted to be 3rd or 4th generation and the parasitaemias in the two volunteers were 18,000 and 212,000 parasites/ml. Thus, these profiles are best compared with that of the day 10 isolate of volunteer 1 presented in this study. Taking into account the potential ambiguities in the interpretation of the results presented by Peters et al, we believe that the two data sets could reflect similar dynamics in the human host.

Conclusion

In conclusion, the data – in combination with earlier findings – suggest that PfEMP1 expression is determined and ordered mainly by host physiology and immunity, and that this will cause infections in non-immune individuals to be dominated by VSASM-type variants such as those encoded by Group A and B var genes.