Skip to main content

Extensive dynamics of Plasmodium falciparum densities, stages and genotyping profiles

Abstract

Background

Individuals living in areas of high malaria transmission often have different Plasmodium falciparum clones detected in the peripheral blood over time. The aim of this study was to assess the dynamics of asymptomatic P. falciparum infections in a few hours intervals.

Methods

Capillary blood samples were collected 6-hourly during five days from asymptomatic children in a highly endemic area in Tanzania. Parasite densities and maturation stages were investigated by light microscopy. Types and number of clones were analysed by PCR based genotyping of the polymorphic merozoite surface proteins 1 and 2 genes. Results: Parasite densities and maturation stages fluctuated 48-hourly with a gradual shift into more mature forms. Various genotyping patterns were observed in repeated samples over five days with only few samples with identical profiles. Up to six alleles differed in samples collected six hours apart in the same individual.

Conclusion

This detailed assessment highlights the extensive within-host dynamics of P. falciparum populations and the limitations of single blood samples to determine parasite densities, stages and genotyping profiles in a malaria infected individual.

Background

Longitudinal studies with repeated genotyping of Plasmodium falciparum infections in partially immune individuals in areas of high malaria transmission have revealed that different parasites are often detected in their peripheral blood over time (days-months) [14]. These changes are a result of new inoculations, immune clearance and intake of anti-malarial drugs. Moreover, within-host dynamics result in that all parasite types infecting an individual may not be present in the peripheral blood at the time of blood sampling [24].

Characterization of P. falciparum populations is widely performed by PCR genotyping based on the polymorphism of the merozoite surface proteins 1 and 2 genes (msp1 and msp2). The method is used in molecular epidemiology studies of malaria to define the types and number of genotypes, i.e. clones, in relation to factors such as transmission intensity, age and host immunity. Also in anti-malarial drug trials, genotyping is used to determine whether recurrent parasitaemias are due to new infections or to recrudescence of the initial parasites suggesting treatment failure [5, 6].

A wide number of studies have been published with genotyping of msp1 and msp2 using different protocols. Most reports are based on single time assessments. However, analysis of daily samples from children with asymptomatic P. falciparum infections detected different genotypes on consecutive days suggesting interesting within-host dynamics of parasite populations [3, 4]. The dynamics need to be considered when interpreting results from studies of P. falciparum genotyping. The informative value of single blood samples for determination of the parasite population in an individual at a given time, as well as how quickly can msp1 and msp2 genotyping patterns change in an individual, is yet to be established. Here, the dynamics of P. falciparum infections was assessed in blood samples collected 6-hourly over five days in three children in an area of high transmission. In addition to genotyping of msp1 and msp2, total parasite densities and maturation stages were established by microscopy. The genotyping profiles, parasite densities and proportions of different maturation stages in samples collected only a few hours apart reflect extensive dynamics of P. falciparum in asymptomatic individuals, which need to be considered in various aspects of malaria research.

Methods

The study was part of a longitudinally malaria project in Nyamisati, a fishing village in the Rufiji River Delta, coastal Tanzania [7]. Malaria was highly endemic in the area, with perennial transmission and peaks around the long and short rain periods. Ethical approval for the project was received from National Institute for Medical Research in Tanzania. Informed consent was obtained from the children and their parents throughout the study. Finger-prick blood samples were collected every six hours (8 am, 2 pm, 8 pm) during a five day period from three asymptomatic children (7, 9 and 11 years old). A nightly sample at 2 am was collected once on day 3. At each sampling occasion, a thick and a thin blood film were prepared for microscopy and 50 microliter of blood was drawn into a capillary tube with citrate as anticoagulant. The blood films were stained in Giemsa and analysed by light microscopy at 1000 × magnification; in thin films against the number of erythrocytes, and in thick films in 200 microscopic fields, assuming a blood volume of 0.2 microliter Morphological staging of the asexual parasites was performed in the thin film according to Silamut & White [8]. The slides were coded and analysed twice by two microscopists blinded for the chronological order of the slides.

Genotyping of P. falciparum was performed by nested PCR of the msp1 (block2) and msp2 (block 3) genes [9]. These unlinked single copy genes are highly polymorphic with varying number of tandem repeats conferring size polymorphism. The three allelic types of msp1 (K1, MAD20 and RO33 types) and the two types of msp2 (FC27 and IC types) were targeted with specific primers in separate nested reactions. The PCR analyses were performed on genomic DNA purified by phenol/chloroform extraction. The first steps of purification, including red cell lysis with saponin, centrifugation and resuspension of the pellet in lysis buffer (40 mM Tris, 80 mM EDTA, 2% SDS), were performed on the days of collection and the partly processed samples were then frozen at -20°C until further DNA extraction. The amount of DNA analysed in each PCR reaction corresponded to 5 microliter of whole blood. The PCR products were size separated by gel electrophoresis on high resolution Metaphor® Agarose (FMC Bioproducts, Rockland, USA) and visualized by UV-transillumination after ethidium bromide staining.

Results

In two children, malaria parasites were not detected by microscopy or PCR in any sample during the five day period. The third child (nine years old) had P. falciparum parasites in 13 samples by microscopy and in all consecutive samples by PCR (Figure 1). The total parasite densities fluctuated according to a sine wave curve and ranged between 0 and 790 asexual parasites/microliter. Only one gametocyte was found in one of the slides (at 8 pm on day 2). Morphological staging revealed different proportions of tiny, small and large rings, and mature trophozoites (Figure 1). No schizonts were detected. There was a gradual shift into more mature forms over 48 hour periods. This was most apparent on day 4, with only large rings detected at 2 pm; a microscopy negative sample at 8 pm; and only small rings in the following sample the next day at 8 am.

Figure 1
figure 1

Plasmodium falciparum population dynamics in an asymptomatic 9 year old child in 6-hourly samples over 5 days. Parasite densities and morphologic stages determined by microscopy of Giemsa-stained thin and thick smears. Parasite populations were characterized by PCR based genotyping of msp1 and msp2. PCR products of the same base pair length within the respective allelic types were defined as the same alleles and schematically illustrated as boxes with the same patterns and colours. The respective allelic types of msp1 and msp2 are illustrated by different colours. *not done/missing sample

Multiple msp1 and msp2 alleles were detected in all P. falciparum positive samples (schematically presented in Figure 1). A total of nine different alleles, i.e. PCR products of the same size within the respective allelic types, were found in both loci including all 13 samples. The number of alleles detected in the respective samples ranged between 2 and 7 alleles for msp1 (median 5, mean 5.0) and 4 and 6 alleles (median 5, mean 4.85) for msp2. Only 2 msp1 and 1 msp2 allele, respectively, were detected in all consecutive samples. The other alleles were present in different patterns during the five day period. Two msp1 and one msp2 alleles were detected in only one single sample. The exact same profiles were found in four isolates for msp1, two for msp2. Including both markers, two consecutive sample pairs had the same patterns (samples day 1 at 8 pm and day 2 at 8 am; and day 4 at 2 am and 8 am). A few alleles were absent in samples collected 48 hours apart. When the profiles were compared in paired consecutive samples, between 0–6 msp1 (mean 3) and 0–6 msp2 (mean 4) alleles, respectively, were different between two samples collected 6 hours apart.

Discussion

This detailed assessment reveals extensive dynamics of P. falciparum infections with regards to parasite densities, maturation stages and genotyping profiles in an asymptomatic and thus partially immune individual in a high endemic area.

The total parasite densities determined by microscopy fluctuated according to a sine wave curve (Figure 1). The variation in consecutive samples, confirms the limitation of single blood samples to determine the parasite load in an individual [3, 10]. A detailed microscopic assessment of the maturation stages distinguished different stages over time with a gradual shift into more mature forms over 48 hour periods, corresponding to the length of the erythrocytic life cycle of P. falciparum. On one occasion, the mature stages were followed by a negative sample suggesting synchronized sequestration of the whole parasite population during the later part of the 48 hour life cycle.

Genotyping of msp1 and msp2 resulted in various patterns in the consecutive samples over five days. The appearance and reappearance of individual clones over this short period suggest that the parasites fluctuated below the threshold of detection mainly due to sequestration. Some of the differences may be explained by variations in the PCR assay. To minimize the impact of methodological factors, all samples were processed together in a highly standardized protocol with high sensitivity of detection (1–10 parasites/microliter as well as detection of parasites in microscopy negative samples). The processing of samples was optimized with the initial steps of DNA extraction performed within one hour after sampling. Small inherent limitations of the genotyping technique, including competition in the PCR amplification due to different proportions of parasite genotypes [11], may still result in small variations in sensitivity resulting in different profiles in consecutive samples.

There was no apparent correlation between the proportion of different maturation forms and the genotyping profiles. The 48 hour patterns found in the previous studies, with daily sampling, suggested that all parasites of a certain clone were sequestered at the same time reflecting synchronization to the same stage of maturation [24]. Here, a few clones were absent only in single samples at 48 hour intervals. However, the overall pattern was not as distinct as these previous daily assessments and it was not possible to disentangle whether some clones were more synchronized than others in this short follow up.

In total nine clones, determined by msp1 and msp2 typing, respectively, were distinguished in this one individual over five days. However, only 2–7 of these alleles were detected in single samples. Determination of the parasite population infecting an individual in single samples, will thus largely underestimate the true number of clones present in an individual at a certain time point. Moreover, the profiles differed by up to six alleles in consecutive samples collected only six hours apart, reflecting that the types of parasites detected in the peripheral blood can differ considerably with only a few hours intervals.

These extensive within-host dynamics of parasite populations are important to consider when interpreting results from genotyping analyses. In drug trials, where genotyping is used to differentiate between recrudescence and reinfection, changes in parasite populations may influence the interpretation of results especially in asymptomatic infections at follow-up [12]. The dynamics of P. falciparum infections may vary depending on transmission intensity, immunity, clinical status, as well as methodology [1317]. With the use of a capillary electrophoresis-based genotyping method, different genotyping profiles were detected over a few hours both in asymptomatic individuals [18] and in symptomatic patients during treatment [19]. Using the current gel-based method, the genotyping profiles were more homogenous in symptomatic infections [16, 17]. Here, highly dynamic genotyping profiles was found in an asymptomatic individual in consecutive samples over just a few hours with one of the most widely used methods for genotyping P. falciparum infections.

Conclusion

Although this report describes a P. falciparum infection in only one asymptomatic individual over a few days, it highlights the extensive dynamics of parasite populations as well as limitations of single blood samples for establishing parasite densities, maturation stages and genotyping profiles. The findings have implications on a wide range of malaria research studies, and emphasize the importance of detailed assessments of host-parasite interactions. Malaria infections, and what is detected in different assays, may indeed change only over a few hours.

Abbreviations

EDTA:

ethylenediamine-tetraacetic acid

msp1 :

merozoite surface protein 1 gene

msp2 :

merozoite surface protein 2 gene

PCR:

polymerase chain reaction

SDS:

sodium duodecyl sulfate

UV:

ultra violet light.

References

  1. Daubersies P, Sallenave-Sales S, Magne S, Trape JF, Contamin H, Fandeur T, Rogier C, Daniel-Ribiero CT, Mercereau-Puijalon O: Rapid turn over of Plasmodium falciparum populations in asymptomatic individuals living in a high transmission area. Am J Trop Med Hyg. 1996, 54: 18-26.

    CAS  PubMed  Google Scholar 

  2. Bruce MC, Galinski MR, Barnwell JW, Donnelly CA, Walmsley M, Alpers MP, Walliker D, Day KP: Genetic diversity and dynamics of P. falciparum and P. vivax populations in multiply infected children with asymptomatic malaria infections in Papua New Guinea. Parasitology. 2000, 121: 247-256. 10.1017/S0031182099006344.

    Article  PubMed  Google Scholar 

  3. Färnert A, Snounou G, Rooth I, Björkman A: Daily dynamics of Plasmodium falciparum subpopulations in asymptomatic children in a holoendemic area. Am J Trop Med Hyg. 1997, 56: 538-547.

    PubMed  Google Scholar 

  4. Magesa SM, Mdira KY, Babiker HA, Alifrangis M, Färnert A, Simonsen PE, Bygbjerg IC, Walliker D, Jacobsen PH: Diversity of Plasmodium falciparum clones infecting children living in a holoendemic area in north-eastern Tanzania. Acta Trop. 2002, 84: 83-92. 10.1016/S0001-706X(02)00179-1.

    Article  CAS  PubMed  Google Scholar 

  5. Snounou G, Beck HP: The use of PCR genotyping in the assessment of recrudescence or reinfection after antimalarial drug treatment. Parasitol Today. 1998, 14: 462-467. 10.1016/S0169-4758(98)01340-4.

    Article  CAS  PubMed  Google Scholar 

  6. Mugittu K, Adjuik M, Snounou G, Ntoumi F, Taylor W, Mshinda H, Olliaro P, Beck HP: Molecular genotyping to distinguish between recrudescents and new infections in treatment trials of Plasmodium falciparum malaria conducted in sub-Saharan Africa: adjustment of parasitological outcomes and assessment of genotyping effectiveness. Trop Med Int Health. 2006, 11: 1350-1359. 10.1111/j.1365-3156.2006.01688.x.

    Article  CAS  PubMed  Google Scholar 

  7. Rooth I, Bjorkman A: Fever episodes in a holoendemic malaria area of Tanzania: parasitological and clinical findings and diagnostic aspects related to malaria. Trans R Soc Trop Med Hyg. 1992, 86: 479-482. 10.1016/0035-9203(92)90076-O.

    Article  CAS  PubMed  Google Scholar 

  8. Silamut K, White NJ: Relation of the stage of parasite development in the peripheral blood to prognosis in severe falciparum malaria. Trans R Soc Trop Med Hyg. 1993, 87: 436-443. 10.1016/0035-9203(93)90028-O.

    Article  CAS  PubMed  Google Scholar 

  9. Snounou G, Zhu X, Siripoon N, Jarra W, Thaithong S, Brown KN, Viriyakosol S: Biased distribution of msp1 and msp2 allelic variants in Plasmodium falciparum populations in Thailand. Trans R Soc Trop Med Hyg. 1999, 93: 369-374. 10.1016/S0035-9203(99)90120-7.

    Article  CAS  PubMed  Google Scholar 

  10. Delley V, Bouvier P, Breslow N, Doumbo O, Sagara I, Diakite M, Mauris A, Dolo A, Rougemont A: What does a single determination of malaria parasite density mean? A longitudinal survey in Mali. Trop Med Int Health. 2000, 5: 404-12. 10.1046/j.1365-3156.2000.00566.x.

    Article  CAS  PubMed  Google Scholar 

  11. Contamin H, Fandeur T, Bonnefoy S, Skouri F, Ntoumi F, Mercereau-Puijalon O: PCR typing of field isolates of Plasmodium falciparum. J Clin Microbiol. 1995, 33: 944-51.

    PubMed Central  CAS  PubMed  Google Scholar 

  12. Mårtensson A, Ngasala B, Ursing J, Veiga MI, Wiklund L, Premji Z, Membi C, Montgomery SM, Färnert A, Björkman A: Influence of consecutive day blood sampling on PCR-adjusted parasitological cure rates in an antimalarial drug trial conducted in Tanzania. J Inf Dis. 2007, 195: 597-601. 10.1086/510910.

    Article  Google Scholar 

  13. Babiker HA, Abdel-Muhsin AM, Ranford-Cartwright LC, Satti G, Walliker D: Characteristics of Plasmodium falciparum parasites that survive the lengthy dry season in eastern Sudan where malaria transmission is markedly seasonal. Am J Trop Med Hyg. 1998, 59: 582-590.

    CAS  PubMed  Google Scholar 

  14. Ofosu-Okyere A, Mackinnon MJ, Sowa MP, Koram KA, Nkrumah F, Osei YD, Hill WG, Wilson MD, Arnot DE: Novel Plasmodium falciparum clones and rising clone multiplicities are associated with the increase in malaria morbidity in Ghanaian children during the transition into the high transmission season. Parasitology. 2001, 123: 113-123. 10.1017/S0031182001008162.

    Article  CAS  PubMed  Google Scholar 

  15. Smith T, Felger I, Kitua A, Tanner M, Beck HP: Dynamics of multiple Plasmodium falciparum infections in infants in a highly endemic area of Tanzania. Trans R Soc Trop Med Hyg. 1999, 93 (S1): 35-39. 10.1016/S0035-9203(99)90325-5.

    Article  PubMed  Google Scholar 

  16. Färnert A, Björkman A: Limited advantage of multiple consecutive samples for genotyping Plasmodium falciparum populations during the first days of treatment. Am J Trop Med Hyg. 2005, 73 (1): 204-206.

    PubMed  Google Scholar 

  17. Myrick A, Leemann E, Dokomajilar C, Hopkins H, Dorsey G, Kamya MR, Rosenthal PJ: Dynamics of Plasmodium falciparum malaria after sub-optimal therapy in Uganda. Am J Trop Med Hyg. 2006, 74: 758-761.

    CAS  PubMed  Google Scholar 

  18. Jafari-Guemori S, Boudin C, Fievet N, Ndiaye P, Deloron P: Plasmodium falciparum population dynamics in asymptomatic children from Senegal. Microb Inf. 2006, 8: 1663-1670. 10.1016/j.micinf.2006.01.023.

    Article  Google Scholar 

  19. Jafari S, Le Bras J, Bouchaud O, Durand R: Plasmodium falciparum clonal population dynamics during malaria treatment. J Inf Dis. 2004, 189: 195-203. 10.1086/380910.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We wish to thank the children for their participation, Mr Sinapenda for technical assistance, Georges Snounou for the genotyping methodology, Anders Björkman and Andreas Mårtensson for valuable comments, and the Swedish Development Cooperation Agency-Department for Research Cooperation (Sida-SAREC) for financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna Färnert.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AF planned and conducted the study, and wrote the paper. ML conducted the study and contributed to the preparation of the manuscript. LF planned and conducted the study. IR planned and conducted the study, and wrote the paper. IR was overall responsible for the malaria research projects in Nyamisati.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Färnert, A., Lebbad, M., Faraja, L. et al. Extensive dynamics of Plasmodium falciparum densities, stages and genotyping profiles. Malar J 7, 241 (2008). https://0-doi-org.brum.beds.ac.uk/10.1186/1475-2875-7-241

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/1475-2875-7-241

Keywords