Abstract
Background
Plasmodium falciparum, the most dangerous malaria parasite species to humans remains an important public health concern in Okelele, a rural community in Ilorin, Kwara State, Nigeria. There is however little information about the genetic diversity of Plasmodium falciparum in Nigeria.
Objective
To determine the population genomic diversity of Plasmodium falciparum in malaria patients attending Okelele Community Healthcare Centre, Okelele, Ilorin, Kwara State.
Methods
In this study, 50 Plasmodium falciparum strains Merozoite Surface Protein 1, Merozoite Surface Protein 2 and Glutamate Rich Protein were analysed from Okelele Health Centre, Okelele, Ilorin, Nigeria. Genetic diversity of P. falciparum isolates were analysed from nested polymerase chain reactions (PCR) of the MSP-1 (K1, MAD 20 and RO33), MSP-2 (FC27 and 3D7) and Glutamate Rich Protein allelic families respectively.
Results
Polyclonal infections were more in majority of the patients for MSP-1 allelic families while monoclonal infections were more for MSP-2 allelic families. Multiplicity of infection for MSP-1, MSP-2 and GLURP were 1.7, 1.8 and 2.05 respectively
Conclusion
There is high genetic diversity in MSP - 2 and GLURP allelic families of Plasmodium falciparum isolates from Okelele Health Centre, Ilorin, Nigeria.
Keywords: Plasmodium falciparum, Merozoite Surface Protein, genetic diversity
Introduction
Malaria is a life-threatening disease caused by Plasmodium parasites that is transmitted to people through the bites of infected female Anopheles mosquitoes. There are five types of Plasmodium spp. causing malaria in humans. These are Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale and the zoonotic species Plasmodium knowlesi.1 Among the malarial parasites, Plasmodium falciparum causes the most severe malarial attacks and is responsible for the high morbidity and mortality, frequent antimalarial drug resistance and aborted vaccines trials.2,3
Genetic diversity of Plasmodium falciparum plays an important role in determining the intensity of malaria transmission. Several P. falciparum genes show extensive genetic polymorphism, however, high polymorphism has been shown in Merozoite surface proteins 1 and 2 (MSP-1 and MSP-2) and Glutamate Rich Protein (GLURP) in different qeographical locations in malaria endemic areas. MSP-1, MSP-2 and GLURP genes are widely used to study the allelic diversity and frequency of P. Falciparum.4,5
Merozoite surface protein-1 (MSP-1) of P. falciparum is a major surface protein, with an approximate molecular size of 190 kDa that plays an important role in erythrocyte invasion by the merozoite.6 The protein is a principal target of human immune responses7 and is a promising candidate for a blood stage subunit vaccine.8 The MSP-1 gene has 7 variable blocks that are separated either by conserved or semi-conserved regions. Block 2, a region near the N-terminal of the MSP-1 gene, is the most polymorphic part of the antigen and appears to be under the strongest diversifying selection within natural populations. Up to now, four different allelic types of block 2 have been identified: MAD20, K1, RO33 and MR.9
MSP-2 of P. falciparum is another leading candidate antigen for subunit malaria vaccine.10 It comprises highly polymorphic central repeats flanked by unique variable domains and conserved N- and C-terminal domains.11 The MSP-2 alleles generally fall into two allelic types, FC27 and 3D7, which differ considerably in the dimorphic structure of the variable central region, block 3. Due to their polymorphic features, the MSP-1 and MSP-2 genes have been employed as polymorphic markers in studies of malaria transmission dynamics in natural isolates of P. falciparum.
Merozoite surface proteins 1 and 2 (MSP-1 and MSP-2) are widely used to study the allelic diversity and frequency of P. falciparum which are most commonly correlated with the level of transmission in the area under study. The two loci have also been introduced as a discriminatory tool to distinguish new from recrudescent infections.4
Glutamate Rich Protein (GLURP) is a 220-kDa exoantigen found in the parasitophorous vacuole. The single full-length GLURP sequence available to date (strain F32) shows two amino acid repeat regions (R1 and R2) with degenerate repeat motifs found in both. Diversity in GLURP has been indicated by different sized polymerase chain reaction (PCR) products from the R2 region of various laboratory-adapted12 and field strains.13 The glutamate-rich protein (GLURP) is expressed in all stages of the Plasmodium falciparum life cycle in humans.
This study was carried out because limited reports are available on genetic diversity of Plasmodium falciparum in Nigeria with no information on genetic diversity of Plasmodium falciparum in Okelele Health Centre, Okelele, Ilorin, Kwara State, Nigeria.
Methodology
Study setting
This study was conducted at the General Outpatient ward of Okelele Health Centre, Ilorin, Kwara State between the period of October and November, 2012. Ilorin, Kwara State, Nigeria where Okelele Health Centre, is located is a malaria holoendemic city.14 The majority of the people living in Okelele, Ilorin are artisans, peasant farmers, petty traders and civil servants. The mainstay of the economy is agriculture.
Sample collection
200 patients presenting with symptoms of malaria were recruited based on the doctors' clinical investigation. 5mls of the blood sample of each patient were collected by venipuncture. Rapid Diagnostic Testing using CareStart™ HRDP - 2 kits were done. Also, thick and thin blood films for parasite detection, identification and classification of degree of parasitaemia were also prepared for Giemsa staining as described by Cheesebrough.15 About 3mls of blood were dispensed unto 3MM Whatman Filter paper for genomic extraction. Questionnaires were administered to all the patients.
Classification of degree of parasitaemia
Parasite density was determined using the formula:
Classification of degree of parasitaemia
Parasite density was determined using the formula:
The malaria parasite density was graded as follows:
≤ 1000 parasites/µl of blood: low density
1,000 – 9,999 parasites/µl of blood: medium density
> 10, 000parasites/µl of blood: high density.16
DNA Extraction from Plasmodium falciparum isolates
Parasite genomic DNA was extracted from 50 dried blood spotted filter paper samples representative of the day of presentation using the methanol extraction method of Gil et al.17 from patients with the highest parasitaemia levels. Approximately, 3mm2 of each dried blood spotted filter paper strips were cut using small perforating machine, each filter paper punch was soaked in 125µL of methanol. After incubation at room temperature for 15 minutes, the methanol was removed and the samples were dried before adding 65µL of distilled water. The punches were mashed using a new pipette tip for each punch and heated at 97°C for 15 minutes to elute the DNA; the punches were removed and the content centrifuged for 30seconds at 14800rpm.
Allelic typing of MSP-1, MSP-2 and GLURP
The oligonucleotide primers specific for the polymorphic regions were used (see Table 1). The three genes were amplified by nested PCR. An initial amplification of the outer regions of the two genes was followed by a nested PCR with family-specific primer pairs. All reactions were carried out in a final volume of 50µl of the master mix containing 12mM dNTP, 15µM of each primer, 22.5mM MgCl2, 37.5mM Buffer, 220µl PCR water, and 3U of Taq DNA polymerase. In the first round reaction, 2µl of genomic DNA was added as a template. In the nested reaction, 1µl of the first PCR product was added. Each amplification profile consisted of initial denaturation at 94°C for 2 min, 94°C for 30secs, 58°C for 1min, 72°C for 2mins followed immediately by 9 cycles of 94°C for 30secs, 58°C for 1 min 30secs, and 72°C for 2min followed immediately by 24 cycles of 94°C for 30secs, 58°C for 1min 30secs, and 72°C for 2min. The final cycle had a prolonged extension at 72°C for 7 min for Outer PCR cycling conditions. Inner PCR cycling conditions has the following protocol: Initial denaturation at 94°C for 2 min, 94°C for 30secs, 59°C for 1min, 72°C for 2mins followed immediately by 9 cycles of 94°C for 30secs, 58°C for 1 min 30secs, and 72°C for 2min followed immediately by 24 cycles of 94°C for 30secs, 60°C for 1min 30secs, and 72°C for 2min. The final cycle had a prolonged extension at 72°C for 7 min for Inner PCR cycling conditions. This was used as template in PCR reactions to type molecular makers. The amplicons were sized against 100bp molecular weight marker on a 1.5% agarose gel made in 0.5X TAE containing 6µls ethidium bromide and ran in a horizontal tank filled also with 0.5X TAE for up to 1hour at 95V. All gels were visualized under UV (ultraviolet) transillumination.
Table 1.
Locus | Primer | Primer sequence |
Primary PCR | ||
msp-1 | msp1-P1 | 5′-CACATGAAAGTTATCAAGAACTTGTC-3′ |
msp1-P2 | 5′-GTACGTCTAATTCATTTGCAC-3′ | |
msp-2 | msp2-1 | 5′-ATGAAGGTAATTAAAACATTGTCTATTATA-3′ |
msp2–4 | 5′-ATATGGCAAAAGATAAAACAAGTG-3′ | |
Secondary PCR | ||
msp-1 | K1-K1 | 5′-GAAATTACTACAAAAGGTGCAAGTG-3′ |
K1–K2 | 5′-AGATGAAGTATTTGAACGAGGTAAAGTG-3′ | |
MAD20-M1 | 5′-GAACAAGTCGAACAGCTGTTA-3′ | |
MAD20-M2 | 5′-TGAATTATCTGAAGGATTTGTACGTCTTGA-3′ | |
R033-R1 | 5′-GCAAATACTCAAGTTGTTGCAAAGC-3′ | |
R033-R2 | 5′-AGGATTTGCAGCACCTGGAGATCT-3′ | |
msp-2 | 3D7-A1 | 5′-GCAGAAAGTAAGCCTTCTACTGGTGCT-3′ |
3D7-A2 | 5′-GATTTGTTTCGGCATTATTATGA-3′ | |
FC27-B1 | 5′-GCAAATGAAGGTTCTAATACTAATAG-3′ | |
FC27-B2 | 5′-GCTTTGGGTCCTTCTTCAGTTGATTC-3′ |
Allelic distribution, Multiplicity of Infection and heterozygosity
The prevalence of each allelic type was determined as the presence of PCR products for the type in the total number of amplified bands for the corresponding locus.18
The Multiplicity of Infection (MOI) or number of genotypes per infection was calculated by dividing the total number of fragments detected in MSP - 1, MSP - 2 and GLURP by the number of samples positive for the same marker.
Heterozygosity was used as a measure of genetic diversity and it represents the probability of being infected by two parasites with different alleles at a given locus and ranges between 0 and 1 was calculated by use of the formula HE = [n/(n-1)] [(1-∑Pi2)]
Where n is the number of isolates sampled pi is the allele frequency at a given locus.5,19
Isolates with more than one genotype were considered as polyclonal infection while the presence of a single allele was considered as monoclonal infection.16
Ethical consideration
The study obtained an ethical clearance from the Ethical Review Committee (ERC) of the University of Ilorin Teaching Hospital. Also, informed consents were obtained from individual patients/guardians after a clear explanation of the objectives and logistics of the study have been carefully explained to them. (Ethical Clearance Reference Number: UITH/CAT/189/14/35)
Results
For malaria microscopy, 154 (77%) were positive and 46 (23%) were negative. The level of parasitaemia varied between 40parasites/µl to 566,000parasites/µl. Out of the samples positive for microscopy, 83(41.5%)had low parasitaemia of <1000, 32 (16.0%) had moderate parasi taemia of ≤ 9999 while 39 (19.5%) had high parasitaemia ≥ 10,000. Parasite genomic DNA was extracted from the 50 blood samples with the highest parasitaemia levels
For MSP - 1, KI, MAD20 and RO33 allelic types were identified. 39(81%) of the blood samples were positive for MSP - 1, i.e. the blood sample carried at least one of the 3 allelic types of MSP - 1. K1 allele type was identified in 27(56.25%) of the blood samples, MAD20 allele in 20(42%) while RO33 was identified in 23(48%) of the blood samples. Only 8(16.667%) of the blood samples were positive for all the three allelic types of MSP - 1. 6(12.5%) had mixed infections with K1 and MAD20, 6(12.5%) also had mixed infections with KI and RO33 while 3(6.25%) had mixed infections with MAD20 and RO33 allele types. 11(23%) of the blood samples showed 2 or more PCR products as visualised on agarose gel as double bands or multiple bands. K1 had the highest allelic frequency (56%) from the blood samples followed by RO33 (48%) and MAD20 (42%) with Multiplicity of Infection being 1.33, 1.3 and 1 respectively.
For MSP - 2, both FC27 and 3D7 allelic types were identified 31(64.58%) of the blood samples were positive for MSP - 2, i.e. the blood sample carried at least one of the 2 allelic types of MSP - 2. FC27 allele type was identified in 18 (37.50%) of the blood samples while the 3D7 allele type was found in 10(20.83%). Both alleles were found in 3(6.25%) of the samples. 13(27.1%) of the blood samples showed 2 or more PCR products as visualized on agarose gel as double bands or multiple bands. FC27 had the highest allelic frequency (43.8%) while 3D7 had the lowest allelic frequency (27.1%). MOI was 1.8 and 1.5 respectively for FC27 and 3D7 respectively.
16(41% ) of the blood samples testing positive for MSP - 1 harboured a single allele which signifies a monoclonal infection with Plasmodium falciparum whereas polyclonal infection was detected in the remaining 23(59%). On the other hand, 28(90%) of the MSP - 2 positive samples had monoclonal infection.
The frequency of samples having the GLURP allele was 19(39.53%) with 14(29%) showing 2 or more PCR products as visualised on agarose gel as double bands or multiplebands indicating polyclonal infection. MOI was 2.05.
The multiplicity of infection (MOI) was 1.70, 1.8 and 2.05 for MSP - 1, MSP - 2 and GLURP respectively (Table 1). Expected heterozygosity (He) was 0.29, 0.75 and 0.86 for MSP - 1, MSP - 2 and GLURP respectively. All are shown in Table 2.
Table 2.
Genetic families | Number of samples |
PCR product size (base pairs) |
Frequency (%) |
Multiplicity of Infection (MOI) |
Expected heterozygosity (He) |
MSP - 1 | 1.70 | 0.29 | |||
K1 | 160 – 225 | 14.58 | 1.3 | ||
MAD2O | 140 – 250 | 6.250 | 1.3 | ||
R033 | 160 | 12.50 | 1.0 | ||
K1+MAD2O | 12.50 | 2.2 | |||
KI+RO33 | 12.50 | 2.8 | |||
MAD20+R033 | 6.25 | 2.3 | |||
KI+MAD20+RO33 | 16.67 | 3.4 | |||
NEGATIVE | 18.75 | ||||
TOTAL | 8 | 100.00 | |||
MSP - 2 | 1.8 | 0.75 | |||
FC27 | 8 | 00 – 400 | 37.50 | 1.8 | |
3D7 | 0 | 50 – 500 | 20.83 | 1.5 | |
FC27+3D7 | 6.25 | 2.3 | |||
NEGATIVE | 7 | 35.42 | |||
TOTAL | 8 | 100.00 | |||
GLURP | 2.05 | 0.86 | |||
POSITIVE | 9 | 39.58 | |||
NEGATIVE | 9 | 60.42 | |||
TOTAL | 8 | 100.00 |
Discussion
Allelic typing displayed the polymorphic nature of Plasmodium falciparum in Okelele blood Samples in respect to MSP - 1, MSP 2 and GLURP. Of the 50 samples taken for PCR, 96% (48/50) showed amplification while 4% (2/50) showed no amplification.
In this study, genetic polymorphism of two Merozoite Surface Proteins, MSP - 1, MSP - 2 and Glutamate Rich Protein (GLURP) of 48 Plasmodium falciparum isolates were analysed. Allele specific PCR typing of MSP - 1 showed the presence of K1, MAD20 and RO33 allelic families in the isolates. Of the three allelic families of MSP - 1, K1 was the predominant allelic family as it was identified in 27(56.25%). This is in agreement with patterns observed in isolates from South Western Nigeria20 and West Uganda21 but in contrast to patterns observed from Pahang, Malaysia16 and some African populations such as The Gambia, Gabon, North Eastern Sudan, North Eastern Tanzania, South Africa and Nigeria inclusive.11
Allelic typing of MSP - 2 showed the presence of FC27 and 3D7 allelic families occurring together and independently. The frequency of FC27 and 3D7 were 18(37.50%) and 10(20.83%). 3(6.25%) of the isolates had FC27 and 3D7 occurring together. Similar patterns were observed in Brazil22 where FC27 was more prevalent than 3D7 but not in Thailand,23 Myanmar24 and Cameroon25 where they recorded higher prevalence with 3D7. Glutamate Rich Protein (GLURP) was observed in 19(39.58%) of the Plasmodium falciparum isolates from Okelele Health Centre, Ilorin. This proportion was low when compared with isolates from other parts of Sub-Saharan Africa5 and South Western Nigeria20 where 73.7% and 80.0% of isolates respectively coded for GLURP. These results collectively suggest that diverse allelic variations of MSP - 1, MSP - 2 and GLURP exist in Plasmodium falciparum isolates from Okelele Health Centre, Ilorin. Multiplicity of infection (MOI) was highest for GLURP (2.05) and lowest for MSP - 1 (1.70). MOI for MSP - 2 was 1.80.
The MOI values were low for MSP - 1 and MSP - 2 when compared with values from south western Nigeria (2.1 and 2.2 respectively),20 West Uganda21 but were higher than values gotten from Malawi (1.03 and 1.52 respectively).5 Also, the MOI values for MSP - 1 and MSP - 2 were different from those gotten from Pahang, Malaysia (1.37 and 1.20 respectively)16. GLURP MOI was 2.05 and this was higher than values obtained from South Western Nigeria (1.3 by Olasehinde et al.20), Malawi, Burkina Faso, Sao tome and Principe, Tanzania and Uganda (1.01, 1.86, 1.01, 1.84 and 1.29 respectively) by Mwingira et al.5 Expected heterozygosity (He) was used as a measure of genetic diversity of Plasmodium falciparum isolates from Okelele Health Centre, Ilorin. He values were 0.29, 0.75 and 0.86 respectively for MSP - 1, MSP - 2 and GLURP respectively. He values were lowest in MSP - 1 locus. He values for MSP - 1 is very low when compared to values from endemic areas such as Malawi and Burkina Faso; 0.79 and 0.78 respectively,5 Malaysia (0.57) and other areas of South East Asia/Pacific Region.16 He values for MSP - 2 (0.75) was higher than that reported by Atroosh et al.16 in Malaysia but was lower than those observed from other countries such as Malawi, Burkina Faso, Sao Tome, Tanzania, Uganda in Sub Saharan Africa (0.97, 0.98, 0.96, 0.99 and 0.95 respectively). GLURP He values were higher and similar to those reported by Mwingira et al.5 from Malawi and Uganda but lower for values gotten from Tanzania, Burkina Faso and Sao Tome. These results collectively suggest that there is high genetic diversity in MSP - 2 and GLURP allelic families of Plasmodium falciparum isolates from Okelele Health Centre, Ilorin, Nigeria.
Conclusion
PCR has been shown to be very reliable in ascertaining the diversity of Plasmodium falciparum species in patients attending Okelele Health Centre, Ilorin. It has also provided a baseline data of the diversity of Plasmodium falciparum species in Okelele, Ilorin which will go a long way in future research into the genomic diversity of Plasmodium falciparum.
Conflict of interest
There is no conflict of interest regarding this article.
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