Skip to main content

Extensive diversity in the allelic frequency of Plasmodium falciparum merozoite surface proteins and glutamate-rich protein in rural and urban settings of southwestern Nigeria



Nigeria carries a high burden of malaria which makes continuous surveillance for current information on genetic diversity imperative. In this study, the merozoite surface proteins (msp-1, msp-2) and glutamate-rich protein (glurp) of Plasmodium falciparum collected from two communities representing rural and urban settings in Ibadan, southwestern Nigeria were analysed.


A total of 511 febrile children, aged 3–59 months, whose parents/guardians provided informed consent, were recruited into the study. Capillary blood was obtained for malaria rapid diagnostic test, thick blood smears for parasite count and blood spots on filter paper for molecular analysis.


Three-hundred and nine samples were successfully genotyped for msp-1, msp-2 and glurp genes. The allelic distribution of the three genes was not significantly different in the rural and urban communities. R033 and 3D7 were the most prevalent alleles in both rural and urban communities for msp-1 and msp-2, respectively. Eleven of glurp RII region genotypes, coded I–XII, with sizes ranging from 500 to 1100 base pairs were detected in the rural setting. Genotype XI (1000–1050 bp) had the highest prevalence of 41.5 and 38.5% in rural and urban settings, respectively. Overall, 82.1 and 70.0% of samples had multiclonal infection with msp-1 gene resulting in a mean multiplicity of infection (MOI) of 2.8 and 2.6 for rural and urban samples, respectively. Msp-1 and msp-2 genes displayed higher levels of diversity and higher MOI rates than the glurp gene.


Significant genetic diversity was observed between rural and urban parasite populations in Ibadan, southwestern Nigeria. The results of this study show that malaria transmission intensity in these regions is still high. No significant difference was observed between rural and urban settings, except for a completely different msp-1 allele, compared to previous reports, thereby confirming the changing face of malaria transmission in these communities. This study provides important baseline information required for monitoring the impact of malaria elimination efforts in this region and data points useful in revising current protocols.


Malaria caused by Plasmodium falciparum remains a major public health problem in most sub-Saharan African regions. Nigeria, one of the biggest nations by population in sub-Saharan Africa, accounts for the highest burden of the disease worldwide with about 30% under-5 years death, 25% infant death and 11% maternal mortality [1, 2]. The emergence and spread of drug-resistant P. falciparum in sub-Saharan Africa, the development of insecticide-resistant mosquitoes and failure to develop effective malarial vaccines has all added to the disease burden and eradication challenge [3]. Moreover, 60% of outpatient visits to hospitals is attributed to malaria, with the recent malaria-risk maps showing a prevalence that varied from 20 to over 70% [4]. The huge malaria burden in Nigeria, demands continuous understanding of the genotypic and phenotypic diversity of malaria parasites that enhances their ability to counteract control measures such as therapeutic drugs and insecticide treatment nets. In Nigeria, as in many other African countries, the dynamics and genetic composition of P. falciparum populations remain unclear. Dramatic variation in diversity and geographical differentiation have been reported in areas of different transmission intensities [5, 6]. Regions of low transmission showed low genetic diversity while random association among loci, high genetic diversity, and minimal geographical differentiation were observed in regions of Africa and Papua New Guinea, where transmission is intense implying a simple linear relationship between genetic diversity and transmission intensity [7]. Despite this clear trend of linearity, it has recently been shown in P. vivax that the relationship between diversity and transmission intensity is not simply linear because many patients could be infected by either related parasites resulting from inbreeding or distinct new parasites [8]. Also, the complexity of estimating genetic diversity may further be influenced by effective population size, the mutation rate of the loci under study and also the genotyping method being used [8]. Many studies have reported the extensive variations in the genotypic and phenotypic diversity of P. falciparum, a feature that has helped the parasite in overcoming anti-malarial drugs, vaccines and vector control strategies, but the dynamics and genetics of P. falciparum populations remain unclear. Moreover, geographic genetic differentiation exists which appear to be inconsistent, warranting the need to constantly assess the structure and diversity of P. falciparum in Africa.

The P. falciparum merozoite surface proteins 1 and 2 (msp-1 and msp-2) and glutamate-rich protein (glurp) genes are significant molecular markers, highly effective in differentiating monoclonal from multiclonal infections within infecting parasite strains, including their utilization in discriminating recrudescence from re-infecting alleles [9, 10]. They are also parasite proteins under consideration as potential vaccine candidates, either individually or in combination with other parasite proteins, because of their preponderance at various stages of the parasite life cycle [11,12,13,14]. The msp-1 and 2 are erythrocyte membrane-bound proteins abundantly found on the blood stages of P. falciparum infected erythrocytes, and reported to play major roles in erythrocyte invasion [11]. It is highly polymorphic with substantial polymorphisms across the protein particularly in msp-1-block 2 regions which has three allelic groups [11]. On the other hand msp-2 is dimorphic, existing in two main allelic forms of 3D7-like and FC27-like family, sharing N- and C-terminal regions, with strain-specific variable regions. Merozoite surface protein 2 is suggested to be essential during parasite invasion and remains on the surface throughout invasion only to be degraded upon invasion completion [15]. The glurp gene is composed of a rather conserved region (R0 region), a central repeat region (R1 fragment) and a C-terminal immunodominant repeat region (R2 fragment) [16]. The polymorphic R2 region possesses at least two B cell epitopes that stimulate antibodies capable of inhibiting parasite growth in vitro [17]. The block 2 region of the msp-1, the central repetitive domain of the msp-2 (block 3), and R2 region of the glurp gene have been well characterized in most malaria-endemic regions globally to study the parasite genetic structure and the allelic frequency distribution [10, 18, 19].

Since malaria is endemic in Nigeria, it is important to characterize these markers from time to time in order to elucidate the genotypic pattern of the circulating parasite populations, understand the mechanism underlying disease pathogenesis, transmission and acquisition of drug resistance in parasite strains with the intent of establishing an effective control strategy. The assemblage of baseline data for these polymorphic biomarkers in the parasite population from different geographical regions and different levels of malaria transmission in urban and rural areas are essential tools for the current efforts on malaria control strategies in sub-Saharan Africa [20, 21]. Significantly and probably more pertinent to this study are anecdotal reports stating that the patterns of infection and disease severity differs between rural and urban areas [22, 23]. If so, how would this affect control programmes or institution of national treatment guidelines between rural and urban areas among infected patients? Such strategies would require up-to-date surveillance information possible via molecular characterization of these genes in parasite samples recovered from patients presenting with acute P. falciparum infection from rural and urban areas. To this end, this study report the results of the genetic analysis of msp-1, msp-2 and glurp genes among children under 5 years of age, presenting with acute uncomplicated P. falciparum infection, recruited from rural and urban areas of Nigeria.


Study site and patients

This was a cross-sectional study conducted in a primary healthcare facility at Idi-Ayunre (rural) and St Mary Catholic Hospital, Eleta (urban), Ibadan from November 2013 to November 2014. Idi-Ayunre is the headquarters of Oluyole Local Government Area, with an estimated area of 629 sq km and a population of approximately 202,725 based on 2006 population census [24]. St Mary’s Catholic Hospital, Eleta is a secondary healthcare facility located within the city of Ibadan, the Oyo State capital. Both study sites have tropical, wet (running from April through October) and dry (running from November to March) seasons, with malaria transmission occurring all year round [25]. A total of 511 children, aged 3–59 months (rural 365 vs urban 146), presenting with fever (axillary temperature ≥ 37.5 °C) or a history of fever in the past 48 h, and other inclusion criteria, were enrolled into the study. Using standard aseptic technique, capillary blood obtained from a fingerprick on the middle finger after cleaning with 70% alcohol was used to prepare thick blood smears and spotted on filter paper (Whartman 3MM™) for future molecular analysis. Thick blood smears were air dried and stained with 10% fresh Giemsa, following standard procedures, and parasite density calculated by counting the number of asexual parasites against 200 leukocytes in the same high power fields, assuming a leukocyte count of 8000 white cells/µl [26].

DNA extraction and PCR analysis

Finger-prick blood spotted on Whatman™ 3MM filter paper, were dried in dust free area and subsequently placed in a zip-lock bag with silica gel to prevent DNA degradation. Dried blood spots were utilized for DNA isolation and PCR amplification. DNA extraction was performed with the QIAamp DNA Mini kit (QIAGEN Germany), according to manufacturer’s instructions with slight modification. Genomic DNA eluates were stored at − 20 °C until further PCR analysis.

Amplification of Plasmodium falciparum

The small sub-unit ribosomal RNA (ssrRNA) gene of P. falciparum was amplified in a nested PCR using primary genus-specific primers and a secondary P. falciparum species-specific primers following the previously described standard protocol [27] (Table 1). Amplified genomic DNA samples confirmed for P. falciparum were further characterized for msp-1, msp-2 and glurp genes, with specific oligonucleotides primer pairs.

Table 1 General characteristics of the study population

Allelic genotyping of Plasmodium falciparum msp-1, msp-2 and glurp genes

Primers specific for the polymorphic region of msp-1 and 2 (block 2 and 3), as described previously [27], were used for genotyping. The polymorphic allelic families of msp-1 (K1, MAD20, and RO33) and the block 3 region of msp-2 (FC27 and 3D7) genes were amplified with a nested PCR amplification in a final reaction volume of 20 µl containing 10X PCR buffer (20 mM Tris–HCl [pH 8.4], 50 mM KCl, and 1.5 mM of MgCl2), 0.125 mM of dNTPs, 0.25 mM of each primer, and 1 U Taq DNA polymerase (New England Biolabs. Inc, UK) and 5 µl of DNA in the first reaction and 3 µl of the first-round product in the second (nested) reaction was added as template. The PCR cycling conditions for both primary and nested reactions are as previously described [28].

For the glurp gene, a semi-nested PCR reaction in a final volume of 25 µl for the polymorphic R2 region was performed with specific primers containing PCR reagent concentrations as in msp-1 and msp-2 genotyping above [27]. The cycling conditions were the same for both reactions except the annealing temperature for the second reaction was at 59 °C. The resultant PCR products were stained with SYBR® Green 1 nucleic acid gel stain (Cambrex Biosciences, East Rutherford, NJ, USA) and resolved by gel electrophoresis in 1.5% agarose gel. DNA sizes were determined using 100 bp DNA ladder (New England Biolabs. Inc, UK), and photographed under UV trans-illuminator (UVP® DigiDoc-It™, USA).


A total of 511 children were screened for malaria infection in a rural and an urban community in southwest, Nigeria. Three-hundred and nine enrollees (60.5%; mean age 26.4 ± 15.7 months; range 3–59) were confirmed positive by nested PCR for P. falciparum infection. Specifically, 68.5% (250/365) of the PCR confirmed P. falciparum cases was from the rural community while 40.4% (59/146) was from the urban community. The difference was statistically significant (p < 0.001) (Table 1). Mean parasite density was higher in the urban community compared to the rural community but the difference was not statically significant (p = 0.383).

Five different msp-1 alleles were observed in this study, with RO33 being the most common allele in the rural community with a monoclonal infection frequency of 7.3%. The frequency of multiclonal infection (RO33 + MAD20 + K1) was 82.1%. The multiplicity of infection (MOI) for merozoite surface proteins-1 in the rural community was 2.8. For the urban community, both RO33 and MAD20 had a monoclonal infection frequency of 10.0% each, frequency of multiclonal infection (RO33 + MAD20 + K1) at 70.0% and an overall MOI of 2.6 (Table 2).

Table 2 Distribution of MSP-1 allelic family in rural and urban communities

For merozoite surface protein-2, a total of 15 different alleles (8 alleles in 3D7: 200–1000 bp and 7 alleles in FC27: 200–800 bp) were identified (Table 3). The 3D7 allele was the most common in the rural community (monoclonal frequency of 43.2%), while FC27 monoclonal allele was not observed. About two-thirds (68.3%) of the samples were multiclonally infected having both alleles (3D7 + FC27). In the urban setting on the other hand, both 3D7 and FC27 alleles had monoclonal infection rates of 15% each and a multiclonal infection (3D7 + FC27) frequency of 70.0% each. The MOI value for msp-2 genotype for rural and urban community was 2.1 and 1.9, respectively (Table 3).

Table 3 Distribution of MSP-2 allelic family in rural and urban communities

Eleven glurp genotypes were detected in the rural community with size ranging from 500 to 1100 bp (50 bp bin) and coded as genotype I–XII with genotype XI the most predominant (41.5%). In the urban setting however, fewer genotypes were recorded with only six genotypes (II, VII, IX, X, XI, XII) detected. Genotype XI (1000–1050 bp) was also the most common. Genotype VI (750–800 bp) did not appear in both rural and urban communities and the MOI in both communities was 1.0 (Table 4).

Table 4 Distribution of allelic variants of GLURP RII repeat region of P. falciparum in rural and urban communities

When parasite density was compared with prevalence of the different allelic families at parasite density ≥ 2000 parasites/µl, the K1, MAD20 and RO33 allelic families were amplified in 87.6% (85/97), 90.7% (88/97) and 94.8% (92/97) of positive samples, respectively. Similarly, FC27 was positive for 71.4% (65/91) while 3D7 accounted for 86.8% (79/91). At parasite density ≤ 2000 parasites/µl however, there was a reduction in the allelic frequencies, but not statistically significant, as K1, MAD20 and RO33 had 84.3% (70/83), 83.1% (69/83) and 91.6% (76/83), respectively. For msp-2, FC27 amplified for 68.2% (30/44) while 3D7 recorded 81.8% (36/44), respectively.

The allelic frequency for glurp gene was 100% (64/64) positive at parasite density ≥ 2000 parasites/µl, and 97.1% (66/68) at parasite density ≤ 2000 parasites/µl blood, an MOI of 1.1 (Table 5). There was no statistically significant difference in the prevalence of allelic families in relation to parasite density (p > 0.05).

Table 5 Distribution of MSP-1, MSP-2 and GLURP alleles by parasite density among children


This study evaluated the genetic diversity of P. falciparum polymorphic markers (msp-1, msp-2 and glurp genes) in children from urban and rural communities of Oyo State, southwest Nigeria. Understanding the genetic diversity of P. falciparum in different geographical settings is of critical importance in resolving the population structure of the parasites in endemic areas and in order to develop effective control strategies [29, 30]. On the other hand, the extensive genetic diversity and complexity of P. falciparum is also considered a major obstacle in the acquisition of natural immunity and vaccine development efforts. The findings in this study are consistent with previous reports that showed that these genes are highly polymorphic among the parasite population in southwestern Nigeria [12, 31, 32]. The genetic diversity analysis in the present study showed that P. falciparum populations in Idi Ayunre (rural) and Eleta (urban) exhibited an overall similar level of high genetic diversity, with MOI of 2.8 and 2.6, respectively.

In the msp-1 gene, RO33 was the most predominant allelic family in both rural (7.3%) and urban (10.0%) settings, contrary to previous reports by others from the same region where K1 allelic family was reported as the commonest [31, 33]. Incidentally, K1 was the least encountered genotype in both our study areas based on the findings of the study. Although the previous results were from similar study area and in patients of same ethnicity, the small sample size (n = 50 and 100, respectively), and years since study (13 years), grants significant credence to the present result and clarifies its uniqueness, revealing that the different predominant allele recorded illustrates the changing parasite profile. In addition, the higher MOI recorded in this study depicts the complexity of the circulating parasite population. This changing genetic make-up of P. falciparum parasite in this study may be due to high transmission intensity and the possible impact of different control measures, mainly chemotherapy and insecticide-treated nets (ITNs). Change in genetic make-up of P. falciparum has been reported in endemic communities following change in anti-malarial drugs and introduction of ITNs [34]. The findings of this study are consistent with the high proportion of RO33 allelic family reported in Senegal [35], Sudan [36], Uganda [37], and Thai-Myanmar borders [18], which were associated with high malaria transmission and a decline in response to treatment with artesunate-mefloquine. For msp-2 locus, the 3D7 allelic family was the most abundant single allele in both communities. This is similar to that reported from the Thai-Myanmar border [18], Nigeria [38], Congo Brazzaville [10], as well as Peru and Iran [39, 40], but different from previous results from Osogbo, Nigeria [19] and northeastern Myanmar [41]. Differential distribution of msp alleles has been associated with clinical status yielding conflicting reports. Some studies have reported that RO33 and FC27 alleles are typically frequently observed in asymptomatic malarial infections [42], others have reported this not to be [38, 43, 44].

High prevalence of multiclonal infection was observed with msp-1 and msp-2 genotypes in both community settings. This persistent high level of genetic diversity is an indication that the parasite population size remained large enough to allow effective mixing of genotypes. There is also the possibility of human migration, which may also bring about increase and changes in genetic diversity by introducing additional parasite genotypes [45]. Significantly, the data from this study showed higher allelic sizes for msp-1 variants (up to 350 bp) and similar msp-2 sizes viz a viz previous report [31], contributing to the changing picture of parasite diversity in southwest Nigeria. Of additional importance is the fact that the highest allelic size reported (350 bp) was found in the rural setting, potentially indicating a higher rate of recombination within parasite species in rural than urban areas.

The RII region of glurp gene also demonstrated a high degree of polymorphism in the parasite population, with 12 distinct allelic fragment sizes, out of which 11 were observed in the rural setting and six observed in the urban community. The high number of glurp alleles in the study area is not unexpected, considering the high malaria endemicity, which is also in agreement with previous reports [10, 46]. The low number of glurp alleles observed in the urban area in comparison to the rural area could also be an indication of higher transmission intensity in the rural area, including significant changes in the parasite genome happening at a faster pace in the rural than urban areas.

Interestingly, when parasite density was categorized into two groups (> 2000 and < 2000 parasites/µl), the genetic diversity was not influenced by parasite density. This is indicative of the fact that high malaria transmission and parasitaemia may not have strong association with genetic diversity of P. falciparum in the study areas. The association of P. falciparum genetic diversity on clinical malaria (indicated as parasitaemia in this study) has been yielding conflicting report. Previous work failed to establish a significant association between different allelic families of msp-2 and parasite density [19], with the reverse reported from Central Sudan [36] and Congo Brazzaville, [47], showing positive correlation between parasite density and the number of msp-1 and msp-2 genotypes. Additionally, previous association between the msp-2 locus of P. falciparum and clinical severity of malaria in children, reported from Ibadan [38], was not replicated in this study. This is not unusual in hyper-endemic locations, with possible reasons including potential co-infection with different parasite variants or super-infections, intra-host dynamics such as overlap of parasite variants between primary and secondary infections, and differential degree of host immunity and exposure [48,49,50]. Continuous surveillance and monitoring of circulating parasite variants towards the design of effective control measures as well as effectiveness of current anti-malarial therapy in such locales is therefore recommended.


Despite the ongoing extensive malaria control efforts in Nigeria, the prevalence of malaria remain high, especially in the rural communities and the P. falciparum parasite population remains highly diverse at the three antigenic loci (msp-1, msp-2 and glurp) analysed in this study. The high MOI is suggestive of effective genetic recombination of the parasite population, which may be related to the high transmission of P. falciparum in the study area, leading to continued maintenance of genetic diversity. The data could serve as an important baseline information for understanding the population structure of P. falciparum and can be harnessed into malaria control strategies in an effort aimed at eliminating malaria in Nigeria.


  1. 1.

    Federal Ministry of Health. Nigeria malaria indicator survey 2015—final report. 2016. Accessed 21 Nov 2017.

  2. 2.

    Dawaki S, Al-Mekhlafi HM, Ithoi I, Ibrahim J, Atroosh WM, Abdulsalam AM, et al. Is Nigeria winning the battle against malaria? Prevalence, risk factors and KAP assessment among Hausa communities in Kano State. Malar J. 2016;15:351.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Ojurongbe O, Akindele A, Adedokun S, Thomas B. Malaria: control, elimination, and eradication. Human Parasit Dis. 2016;8:11–5.

    Article  Google Scholar 

  4. 4.

    Onyiri N. Estimating malaria burden in Nigeria: a geostatistical modelling approach. Geospatial Health. 2015;10:306.

    Article  PubMed  Google Scholar 

  5. 5.

    Mobegi VA, Loua KM, Ahouidi AD, Satoguina J, Nwakanma DC, Amambua-Ngwa A, et al. Population genetic structure of Plasmodium falciparum across a region of diverse endemicity in West Africa. Malar J. 2012;11:223.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Schneider KA, Escalante AA. A likelihood approach to estimate the number of co-infections. PLoS ONE. 2014;9:e97899.

    Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Anderson TJC, Haubold B, Williams JT, Estrada-Franco§ JG, Richardson L, Mollinedo R, et al. Microsatellite markers reveal a spectrum of population structures in the malaria parasite Plasmodium falciparum. Mol Biol Evol. 2000;17:1467–82.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Escalante AA, Ferreira MU, Vinetz JM, Volkman SK, Cui L, Gamboa D, et al. Malaria molecular epidemiology: lessons from the international centers of excellence for malaria research network. Am J Trop Med Hyg. 2015;93:79–86.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Gupta P, Singh R, Khan H, Raza A, Yadavendu V, Bhatt RM, et al. Genetic profiling of the Plasmodium falciparum population using antigenic molecular markers. Sci World J. 2014;2014:140867.

    Google Scholar 

  10. 10.

    Mwingira F, Nkwengulila G, Schoepflin S, Sumari D, Beck H-P, Snounou G, et al. Plasmodium falciparum msp1, msp2 and glurp allele frequency and diversity in sub-Saharan Africa. Malar J. 2011;10:79.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Beeson JG, Drew DR, Boyle MJ, Feng G, Fowkes FJI, Richards JS. Merozoite surface proteins in red blood cell invasion, immunity and vaccines against malaria. FEMS Microbiol Rev. 2016;40:343–72.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Duru KC, Thomas BN. Genetic diversity and allelic frequency of glutamate-rich protein (GLURP) in Plasmodium falciparum isolates from sub-Saharan Africa. Microbiol Insights. 2014;7:35–9.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Conway DJ, Cavanagh DR, Tanabe K, Roper C, Mikes ZS, Sakihama N, et al. A principal target of human immunity to malaria identified by molecular population genetic and immunological analyses. Nat Med. 2000;6:689–92.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Woehlbier U, Epp C, Kauth CW, Lutz R, Long CA, Coulibaly B, et al. Analysis of antibodies directed against merozoite surface protein 1 of the human malaria parasite Plasmodium falciparum. Infect Immun. 2006;74:1313–22.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Boyle MJ, Langer C, Chan J-A, Hodder AN, Coppel RL, Anders RF, et al. Sequential processing of merozoite surface proteins during and after erythrocyte invasion by Plasmodium falciparum. Infect Immun. 2014;82:924–36.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Theisen M, Soe S, Oeuvray C, Thomas AW, Vuust J, Danielsen S, et al. The glutamate-rich protein (GLURP) of Plasmodium falciparum is a target for antibody-dependent monocyte-mediated inhibition of parasite growth in vitro. Infect Immun. 1998;66:11–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Theisen M, Vuust J, Gottschau A, Jepsen S, Høgh B. Antigenicity and immunogenicity of recombinant glutamate-rich protein of Plasmodium falciparum expressed in Escherichia coli. Clin Diagn Lab Immunol. 1995;2:30–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Congpuong K, Sukaram R, Prompan Y, Dornae A. Genetic diversity of the msp-1, msp-2, and glurp genes of Plasmodium falciparum isolates along the Thai–Myanmar borders. Asian Pac J Trop Biomed. 2014;4:598–602.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Ojurongbe O, Fagbenro-Beyioku AF, Adeyeba OA, Kun JF. Allelic diversity of merozoite surface protein 2 gene of Plasmodium falciparum among children in Osogbo, Nigeria. West Indian Med J. 2011;60:19–23.

    CAS  PubMed  Google Scholar 

  20. 20.

    Jallow M, Teo YY, Small KS, Rockett KA, Deloukas P, Clark TG, et al. Genome-wide and fine-resolution association analysis of malaria in West Africa. Nat Genet. 2009;41:657–65.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Salgueiro P, Lopes AS, Mendes C, Charlwood JD, Arez AP, Pinto J, et al. Molecular evolution and population genetics of a Gram-negative binding protein gene in the malaria vector Anopheles gambiae (sensu lato). Parasit Vectors. 2016;9:515.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Mawili-Mboumba DP, Mbondoukwe N, Adande E, Bouyou-Akotet MK. Allelic diversity of MSP1 gene in Plasmodium falciparum from rural and urban areas of Gabon. Korean J Parasitol. 2015;53:413–9.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Bogreau H, Renaud F, Bouchiba H, Durand P, Assi S-B, Henry M-C, et al. Genetic diversity and structure of African Plasmodium falciparum in urban population in urban and rural areas. Am J Trop Med Hyg. 2006;74:953–9.

    CAS  PubMed  Google Scholar 

  24. 24.

    Oluyole Local Government—Oyo State Government. Accessed 25 Nov 2017.

  25. 25.

    Falade CO, Ogunkunle OO, Dada-Adegbola HO, Falade AG, de Palacios PI, Hunt P, et al. Evaluation of the efficacy and safety of artemether-lumefantrine in the treatment of acute uncomplicated Plasmodium falciparum malaria in Nigerian infants and children. Malar J. 2008;7:246.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    WHO. Malaria parasite counting: malaria microscopy standard operating procedure. Geneva: World Health Organization; 2016.

  27. 27.

    Snounou G, Viriyakosol S, Zhu XP, Jarra W, Pinheiro L, do Rosario VE, et al. High sensitivity of detection of human malaria parasites by the use of nested polymerase chain reaction. Mol Biochem Parasitol. 1993;61:315–20.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Snounou G, Zhu X, Siripoon N, Jarra W, Thaithong S, Brown KN, et al. Biased distribution of msp1 and msp2 allelic variants in Plasmodium falciparum populations in Thailand. Trans R Soc Trop Med Hyg. 1999;93:369–74.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Jennison C, Arnott A, Tessier N, Tavul L, Koepfli C, Felger I, et al. Plasmodium vivax populations are more genetically diverse and less structured than sympatric Plasmodium falciparum populations. PLoS Negl Trop Dis. 2015;9:e0003634.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Razak MRMA, Sastu UR, Norahmad NA, Abdul-Karim A, Muhammad A, Muniandy PK, et al. Genetic diversity of Plasmodium falciparum populations in malaria declining areas of Sabah, East Malaysia. PLoS ONE. 2016;11:e0152415.

    Article  Google Scholar 

  31. 31.

    Happi CT, Gbotosho GO, Sowunmi A, Falade CO, Akinboye DO, Gerena L, et al. Molecular analysis of Plasmodium falciparum recrudescent malaria infections in children treated with chloroquine in Nigeria. Am J Trop Med Hyg. 2004;70:20–6.

    CAS  PubMed  Google Scholar 

  32. 32.

    Ojurongbe O, Funwei RI, Snyder TJ, Aziz N, Li Y, Falade CO, et al. Genetic diversity of CD14 promoter gene polymorphism is associated with regulation of malaria parasitemia and susceptibility to infection. Infect Dis (Auckl.). 2017;10:1178633617726781.

    Google Scholar 

  33. 33.

    Olasehinde GI, Yah CS, Singh R, Ojuronbge OO, Ajayi AA, Valecha N, et al. Genetic diversity of Plasmodium falciparum field isolates from south western Nigeria. Afr Health Sci. 2012;12:355–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Gatei W, Gimnig JE, Hawley W, ter Kuile F, Odero C, Iriemenam NC, et al. Genetic diversity of Plasmodium falciparum parasite by microsatellite markers after scale-up of insecticide-treated bed nets in western Kenya. Malar J. 2015;13:495.

    Article  PubMed  Google Scholar 

  35. 35.

    Robert F, Ntoumi F, Angel G, Candito D, Rogier C, Fandeur T, et al. Extensive genetic diversity of Plasmodium falciparum isolates collected from patients with severe malaria in Dakar, Senegal. Trans R Soc Trop Med Hyg. 1996;90:704–11.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Hamid MMA, Mohammed SB, El Hassan IM. Geneticdiversity of Plasmodium falciparum field isolates in Central Sudan inferred by PCR genotyping of merozoite surface protein 1 and 2. N Am J Med Sci. 2013;5:95–101.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Peyerl-Hoffmann G, Jelinek T, Kilian A, Kabagambe G, Metzger WG, Von Sonnenburg F. Genetic diversity of Plasmodium falciparum and its relationship to parasite density in an area with different malaria endemicities in West Uganda. Trop Med Int Health. 2001;6:607–13.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Amodu OK, Oyedeji SI, Ntoumi F, Orimadegun AE, Gbadegesin RA, Olumese PE, et al. Complexity of the msp2 locus and the severity of childhood malaria, in south-western Nigeria. Ann Trop Med Parasitol. 2008;102:95–102.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Chenet SM, Branch OH, Escalante AA, Lucas CM, Bacon DJ. Genetic diversity of vaccine candidate antigens in Plasmodium falciparum isolates from the Amazon basin of Peru. Malar J. 2008;7:93.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Zakeri S, Bereczky S, Naimi P, Pedro Gil J, Djadid ND, Färnert A, et al. Multiple genotypes of the merozoite surface proteins 1 and 2 in Plasmodium falciparum infections in a hypoendemic area in Iran. Trop Med Int Health. 2005;10:1060–4.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Yuan L, Zhao H, Wu L, Li X, Parker D, Xu S, et al. Plasmodium falciparum populations from northeastern Myanmar display high levels of genetic diversity at multiple antigenic loci. Acta Trop. 2013;125:53–9.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Aubouy A, Migot-Nabias F, Deloron P. Polymorphism in two merozoite surface proteins of Plasmodium falciparum isolates from Gabon. Malar J. 2003;2:12.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Kyes S, Harding R, Black G, Craig A, Peshu N, Newbold C, et al. Limited spatial clustering of individual Plasmodium falciparum alleles in field isolates from coastal Kenya. Am J Trop Med Hyg. 1997;57:205–15.

    CAS  Article  PubMed  Google Scholar 

  44. 44.

    Ntoumi F, Ngoundou-Landji J, Lekoulou F, Luty A, Deloron P, Ringwald P. Site-based study on polymorphism of Plasmodium falciparum MSP-1 and MSP-2 genes in isolates from two villages in Central Africa. Parassitologia. 2000;42:197–203.

    CAS  PubMed  Google Scholar 

  45. 45.

    Mita T, Jombart T. Patterns and dynamics of genetic diversity in Plasmodium falciparum: what past human migrations tell us about malaria. Parasitol Int. 2015;64:238–43.

    Article  PubMed  Google Scholar 

  46. 46.

    Kumar D, Dhiman S, Rabha B, Goswami D, Deka M, Singh L, et al. Genetic polymorphism and amino acid sequence variation in Plasmodium falciparum GLURP R2 repeat region in Assam, India, at an interval of five years. Malar J. 2014;13:450.

    Article  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Mayengue PI, Ndounga M, Malonga FV, Bitemo M, Ntoumi F. Genetic polymorphism of merozoite surface protein-1 and merozoite surface protein-2 in Plasmodium falciparum isolates from Brazzaville, Republic of Congo. Malar J. 2011;10:276.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Conway DJ. Molecular epidemiology of malaria. Clin Microbiol Rev. 2007;20:188–204.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  49. 49.

    de Roode JC, Helinski MEH, Anwar MA, Read AF. Dynamics of multiple infection and within-host competition in genetically diverse malaria infections. Am Nat. 2005;166:531–42.

    PubMed  Google Scholar 

  50. 50.

    Pacheco MA, Lopez-Perez M, Vallejo AF, Herrera S, Arévalo-Herrera M, Escalante AA. Multiplicity of infection and disease severity in Plasmodium vivax. PLoS Negl Trop Dis. 2016;10:e0004355.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Authors’ contributions

COF, BNT and OO conceived the idea and designed the study; COF and RIF collected the samples; RIF and OO carried out the molecular analysis; OO and RIF performed the statistical analysis; RIF drafted the manuscript; COF, BNT and OO critically edited the manuscript. All authors read and approved the final manuscript.


We thank the parents and guardians of the children who participated in the study. We also thank the healthcare workers in the study sites. We sincerely appreciate the dedication to duty of our research staff for their assistance throughout the course of this work. Many thanks to the staff and graduate students in the Molecular Biology Laboratory, Ladoke Akintola University of Technology (LAUTECH) Osogbo for their immense support and technical assistance.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study protocol was approved by the Ethical Review Committee of the University of Ibadan/University College Hospital (Approval Number UI/EC/12/0279). Participation in the study was completely voluntary and based on written or witnessed verbal informed consent of parent or caregiver of children, who fulfilled the inclusion criteria.


No funding was obtained for the study.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information



Corresponding author

Correspondence to Olusola Ojurongbe.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Funwei, R.I., Thomas, B.N., Falade, C.O. et al. Extensive diversity in the allelic frequency of Plasmodium falciparum merozoite surface proteins and glutamate-rich protein in rural and urban settings of southwestern Nigeria. Malar J 17, 1 (2018).

Download citation


  • Polymorphism
  • Genetic diversity
  • Merozoite surface protein
  • Glutamate rich protein
  • Plasmodium falciparum
  • Nigeria