Skip to main content

Global genetic diversity of the Plasmodium vivax transmission-blocking vaccine candidate Pvs48/45



Plasmodium vivax 48/45 protein is expressed on the surface of gametocytes/gametes and plays a key role in gamete fusion during fertilization. This protein was recently expressed in Escherichia coli host as a recombinant product that was highly immunogenic in mice and monkeys and induced antibodies with high transmission-blocking activity, suggesting its potential as a P. vivax transmission-blocking vaccine candidate. To determine sequence polymorphism of natural parasite isolates and its potential influence on the protein structure, all pvs48/45 sequences reported in databases from around the world as well as those from low-transmission settings of Latin America were compared.


Plasmodium vivax parasite isolates from malaria-endemic regions of Colombia, Brazil and Honduras (n = 60) were used to sequence the Pvs48/45 gene, and compared to those previously reported to GenBank and PlasmoDB (n = 222). Pvs48/45 gene haplotypes were analysed to determine the functional significance of genetic variation in protein structure and vaccine potential.


Nine non-synonymous substitutions (E35K, Y196H, H211N, K250N, D335Y, E353Q, A376T, K390T, K418R) and three synonymous substitutions (I73, T149, C156) that define seven different haplotypes were found among the 282 isolates from nine countries when compared with the Sal I reference sequence. Nucleotide diversity (π) was 0.00173 for worldwide samples (range 0.00033–0.00216), resulting in relatively high diversity in Myanmar and Colombia, and low diversity in Mexico, Peru and South Korea. The two most frequent substitutions (E353Q: 41.9 %, K250N: 39.5 %) were predicted to be located in antigenic regions without affecting putative B cell epitopes or the tertiary protein structure.


There is limited sequence polymorphism in pvs48/45 with noted geographical clustering among Asian and American isolates. The low genetic diversity of the protein does not influence the predicted antigenicity or protein structure and, therefore, supports its further development as transmission-blocking vaccine candidate.


Malaria is an infectious parasitic disease caused by the genus Plasmodium which is transmitted by bites of infected Anopheles mosquitoes. Plasmodium falciparum and Plasmodium vivax are the two most common malaria parasites in humans, however differing in their clinical presentation and geographic distribution. Plasmodium falciparum causes the most severe symptoms and higher mortality, mainly among children under 5 years of age in Africa. Plasmodium vivax generally causes milder disease, is significantly less life-threatening [1] and is widely distributed in the Middle East, Asia, the Western Pacific, and Central and South America [2]. Despite global efforts to control malaria transmission resulting in a significant decrease in global incidence during the last decade, it continues to challenge public health systems, particularly in tropical countries. Current global malaria control strategies will greatly benefit from the development of an effective vaccine that interrupts malaria transmission among individuals of endemic communities [3, 4].

Proteins expressed by parasite sexual stages, namely gametocytes/gametes, could induce effective immune responses in the human host that would prevent gamete fertilization and zygote formation when ingested by the mosquito during a blood meal [5].

Plasmodium Ps48/45 proteins are expressed by male and female gametocytes/gametes during the parasite maturation process, and are therefore classified as pre-fertilization antigens [6]. These proteins belong to a family common to all Plasmodium species characterized by the presence of partially conserved domains containing six cysteine (Cys) amino acid residues that form one to three disulfide bridges, resulting in a specific tertiary structure [7, 8]. In P. falciparum, this protein (Pfs48/45) is expressed on the surface membrane of gametocytes [9] and is required for male fertility [6]. In addition, Pfs48/45 is necessary for production of high antibody titers in individuals living in endemic areas [10, 11] that can reduce ookinete production and induce transmission-blocking activity [1214]. It is currently considered a potential target for development as a transmission-blocking vaccine. As other proteins expressed on sexual forms, Pfs48/45 is rich in Cys residues, which has made it difficult to express as a recombinant product with proper conformation [5, 15]. Pvs48/45, the homologous protein in P. vivax, was recently expressed in Escherichia coli and its immunogenicity was assessed in mice and Aotus monkeys. These studies indicated high immunogenicity in both animal models and the elicited antibodies displayed significant and reproducible transmission-blocking activity in ex vivo P. vivax membrane-feeding assays (MFA) [9].

Genetic diversity could generate antigenic polymorphisms, which in turn could induce changes in critical epitopes and hamper vaccine efficacy. Successful development of an effective transmission-blocking vaccine is likely dependent on an assessment of the degree of genetic diversity in pvs48/45 among P. vivax parasite populations in malaria-endemic locations [16]. Although available data indicate a limited Pvs48/45 genetic polymorphism on a regional scale [17, 18], knowledge of the sequence polymorphism on a broader scale and its potential impact on vaccine development is needed. Here, a total of 282 pvs48/45 sequences corresponding to parasites from eight countries from around the world were analysed for gene diversity to assess probable protein changes that could influence the immunogenicity and its vaccine potential.


Ethics statement

Blood samples used in this study were obtained from studies approved by the Institutional Review Board (IRB) of the Malaria Vaccine and Drug Development Center (MVDC) under the codes CIV-01-042009, CIV 08-102010 and CIV 009. Samples from volunteers were not linked to the identity of the donor. Written informed consent was obtained from each volunteer at enrolment. All volunteers were adults over 18 years of age.

Origin of Plasmodium vivax samples

The genetic diversity of pvs48/45 was studied among 60 P. vivax isolates from endemic regions of Brazil, Colombia and Honduras in Latin American (LA). The geographical origin of each of the LA isolates analysed in this study is listed in Table 1. Brazilian P. vivax isolates (n = 13) were obtained from patients attending a tertiary healthcare centre in Manaus (Amazonas State) [19]; Colombian parasite samples (n = 35) were collected in four different malaria-endemic regions described elsewhere [20]; Honduran samples (n = 12) were collected at the University Hospital located in Tegucigalpa, and its origin was determined to seven different localities throughout the country. Additionally, a total of 222 sequences reported to the GenBank and PlasmoDB originally from South Korea [17], North Korea [18], India and Indonesia [18], Thailand and Vanuatu [21], Mexico, Peru, Thailand and Myanmar (Plasmodium vivax Hybrid Selection initiative, Broad Institute [22, 23], and reference sequences from Brazil, India, Mauritania, and North Korea were used for comparison.

Table 1 Origin of Latin American isolates used for pvs48/45 sequencing

Extraction and purification of parasite genomic DNA

Parasite genomic DNA was extracted from filter-paper blood spots using 10 % Chelex 100 (Biorad, USA) and from EDTA-blood samples using the salting-out method [24], and were identified with two-letter codes according to the country of origin as follows: Colombia (Co), Brazil (Br) and Honduras (Hn), followed by two numerical digits. Subsequently, DNA was purified using the PureLink Genomic DNA Mini Kit (Life Technologies, USA), according to the manufacturer’s instructions. DNA samples were tested by real-time quantitative PCR (qPCR) to confirm infection with P. vivax and rule out P. falciparum co-infection as previously described [25].

Amplification and sequencing of the Pvs48/45 gene in parasite samples from Latin America

Pvs48/45F (5′-GGAATAATTTCGACCACTC-3′) and Pvs 48/45R (5′- TCAGAAGTACAACAGGAG-3′) primers were designed to amplify the Pvs48/45 gene coding region (CDS annotation 1357 bp) from the pvs48/45 of Salvador I strain (PlasmoDB Id: PVX_083235). Amplification was performed in 25 μL reactions containing 2–4 μL genomic DNA, 500 nM of primers Pvs48/45F and Pvs48/45R, and 0.5 units of HotStar HiFidelity Polymerase (QIAGEN, Valencia, CA, USA). Thermal cycling conditions were as follows: initial denaturation for 5 min at 94 °C, followed by 39 cycles of: 94 °C for 30 s, 55 °C for 1 min, 72 °C for 2 min, and a final extension step at 72 °C for 10 min. Amplification products were analysed by gel electrophoresis in 1.2 % agarose gels and purified using the High Pure PCR product purification kit, according to the manufacturer’s recommendations (Roche Diagnostics, Mannheim, Germany). Purified PCR products were sequenced using the Big Dye Terminator Kit v3.1 (Applied Biosystems, Austin, TX, USA) in an ABI-PRISM Avant 3100 Automatic Genetic Analyzer (Applied Biosystems, Foster City, CA, USA) using primers Pvs48/45F and Pvs48/45R. Each purified product was sequenced in both directions by a minimum of two independent sequencing reactions until quality base calling value scores >20 (predictive sequencing error rate per base of 1.00 %) were obtained [26], as assessed with the Sequencing Analysis Software v.5.3 (Applied Biosystems).

Sequence assembling, alignment and statistical analysis

All sequences were assembled against the Sal I P. vivax pvs48/45 sequence reported in PlasmoDB (accession No. PVX_083235) using the reference assembler algorithm in Geneious 4.8.4 [27] and corrections made by manual inspection. The primers sequences were removed before the analysis. Consensus sequences were aligned using the Geneious alignment algorithm and the alignment was used to calculate the number of segregating sites (S), singleton sites, singleton variable (SV) sites, parsimony informative (PI) sites, haplotype diversity (Hd), nucleotide diversity (π), and the average number of pair-wise nucleotide differences within the population (K), number of synonymous (dS) and non-synonymous (dN) substitutions with DnaSP 5.10 package using the Jukes-Cantor model. DNA polymorphism was analysed with a sliding window of 100 bases and a step of 25 bases for a haploid genome [28]. To determine the influence of the geographical origin of the isolates on nucleotide diversity and DNA polymorphism, the same analysis discriminating between groups of samples from Brazil, Colombia and Honduras was performed. Output data were exported to Excel to plot overlapping π curves with standardized scales for the different groups. Numbers of synonymous (dS) and non-synonymous (dN) substitutions were compared by a two-tailed Z test (P < 0.05) using MEGA 6.06 [29] using the Nei and Gojobori’s method [30] with the Jukes-Cantor correction and its standard deviation determined by 1000 boot-strap replications [31]. Null hypothesis was dS = dN, thus indicating that the observed polymorphism was neutral.

Phylogenetic and epitope conservation analysis

Tajima’s D test and Fu and Li’s D and F tests using Plasmodium knowlesi pvs48/45 as an outgroup were performed on DNASP 5.10 to test for the neutral theory of evolution. Haplotypes reported in this study were compared to 132 pvs48/45 sequences reported in GenBank for South Korea [17], North Korea [18], India and Indonesia [18], and reference sequences from Brazil, India, Mauritania, and North Korea and Sal I, same as described above, for a total of 252 isolates. In silico translated DNA sequences were aligned to the Pfs48/45 3D7 amino acid sequence (PFD3D7_1346700) to ensure the localization of the single nucleotide polymorphisms (SNPs) in the Cys-rich domains (CRD) I, II, and III were epitopes I, II, III and V as previously reported [12]. Phylogenetic analysis was performed with the 60 sequences reported in this study, and with the 49 sequences reported in GenBank.

Immune epitope mapping

In order to determine the presence of linear B cell epitopes in the Pvs48/45 protein sequence and the possible influence of the SNP in the predicted epitopes, an in silico analysis of the entire sequence was performed. Epitopes were predicted based on hydrophilicity, accessibility, polarity, flexibility estimation, combined with secondary structure analysis (Kolaskar-Tongaonkar antigenicity prediction methods) [32].

Molecular modelling of the 3D structure

Structural models of Pvs48/45 domains were built by using homology-based modelling. The known 3D structures of homologous proteins Pf12 from P. falciparum [33] and the immunodominant surface antigen from Toxoplasma gondii (Protein Data Bank IDs: 2YMO:A and 1KZQ:A) were used as templates. Sequence alignments were obtained by using a HHpred server [34], ClustalW program [35] and manual adjustment. Structural models were built using the HOMOLOGY module of Insight II program [36]. Resulting structures were subjected to energy minimization using the procedure implemented in the Discovery sub-routine of Insight II.


Genetic polymorphism and amino acid changes

Results of the qPCR assay indicated that all samples were specific for P. vivax infections. PCR amplification of the Pvs48/45 gene-coding region showed a single band of ~1.3 kb in all samples, indicating an absence of size polymorphism. Comparison of the nucleotide sequences against the pvs48/45 reference sequence (Sal I) showed that SNPs occurred at 15 positions. Nine of these mutations resulted in amino acid changes (non-synonymous substitutions) at positions E35K, Y196H, H211N, K250N, D335Y, E353Q, A376T, K390T, and K418R (Fig. 1a), while the remaining six had no amino acid variations (synonymous substitutions). Of the nine sites, two (H211N, K250N) were found worldwide, four in Asian isolates (E35K, D335Y, A376T, K418R), while the remaining three were country-specific (Y196H Thailand, K390T Peru, E353Q in Mexico, Peru and Colombia).

Fig. 1

Nucleotide changes found and nucleotide diversity. a Structural architecture of Pvs48/45 reported by van Dijk [6]. Cysteine residues are depicted as small black bars under the three cysteine-rich domains (CRD), non-synonymous substitutions are shown by solid arrows, whereas synonymous substitutions by dashed arrows. b Sliding-window analysis of nucleotide diversity (π) along the Pvs48/45 gene using a length of 100 sites and a step-size of 25 sites

Pvs48/45 gene haplotypes

Based on sequence analysis, the pvs48/45 sequences were classified into seven haplotypes (haplotypes I–VII), in which three resulted from trimorphic polymorphisms, two from dimorphic polymorphisms, and one from a single polymorphism. None of these substitutions was common in all isolates. The amino acid substitution E353Q was found in haplotypes I–IV. The K250N substitution was found in haplotypes I, II, IV, V, and VII, while the H211N amino acid substitution was found in haplotypes I and V. Amino acid substitutions A108T, P264H, N324S, and K370N were only found in haplotypes IV, VI, VII, and V, respectively (Table 2).

Table 2 Amino acid changes found in the seven pvs48/45 haplotypes in Latin American isolates

Global diversity of pvs48/45

Comparison of pvs48/45 polymorphic positions found in LA countries (Brazil, Colombia and Honduras) with the nine polymorphic positions reported for South Korea, North Korea, India and Indonesia showed a set of amino acid substitutions exclusively present among LA isolates. This set contained the substitution E353Q, which is the most frequent among LA isolates (41.9 %), together with the less frequent substitutions T108A (2.3 %), P264H (2.3 %), N324S (2.3 %), and K370N (2.3 %). On the contrary, D335Y, which is highly conserved among Asian isolates (95.5 %), was not detected among LA isolates. Amino acid variations H211N and K250N are found in both Asian and LA isolates. These two substitutions, highly conserved among Asian isolates (98.5 and 100 %, respectively) were only found in 18.6 and 39.5 % of P. vivax LA isolates, respectively. Other substitutions previously reported for Asian isolates [17, 18]: K26R (1.5 %), E35K (62.1 %), A367T (95.5 %), I380T (19.7 %), K418R (95.5 %) were not found in the present study. As a result, the number of haplotypes for worldwide samples was 18 (Table 3). There was variation of haplotype diversity geographically: low in North Korea, Peru and Mexico, and higher in Myanmar and Colombia. Nucleotide diversity (π) was 0.00173 for worldwide samples, ranging between 0.00058 and 0.00216 (Table 3). In Myanmar and Colombia π was relatively high, whereas it was low in Mexico, Peru and South Korea. A sliding window plot of π revealed a peak at nucleotide positions 1000–1160 in the CRD-3 region where four of the nine amino acid changes observed in Pvs48/45 occurred (Fig. 1b). The π of Pv48/45 in worldwide samples was at least one order of magnitude lower than that of known blood-stage antigen genes, such as pvmsp1, pvmsp3a and pvdbp (Fig. 2).

Table 3 Estimates of DNA sequence polymorphism and tests of neutrality for pvs48/45
Fig. 2

Distribution of pvs48/45 haplotypes. Geographic distribution of pvs48/45 haplotypes is shown for Mexico, Honduras, Brazil, Colombia, Myanmar, Thailand, South Korea, and North Korea. Haplotypes I–VII are shown in different colours

Geographic distribution of vs48/45 haplotypes among LA isolates

The wild-type (Sal I-like) haplotype predominated among Brazilian (92 %), Peruvian (90 %), Mexican (87 %), and Honduran (71 %) isolates, however in Colombian isolates, it was the second-most frequent haplotype (24 %). Colombian isolates showed a major presence of haplotype I (52 %), which was less frequent in Honduran isolates (14 %), and not detected among Brazilian, Peruvian and Mexican samples. Haplotype VI, the most frequent in Myanmar and Thailand, was found only among Colombian isolates, whereas haplotype VII was only present in Colombia isolates. Colombia showed the greatest haplotype diversity (0.841 ± 0.024) with eight non-Sal I haplotypes circulating in the country.

Mapping of immune epitopes

A total of 12 linear epitopes were identified in regions 1, 5, 6, and 12, displaying greater algorithmic scores predictive of putative antigenic peptides (Table 4). A high score indicates maximum probability of immunogenicity in the host. Four of the 12 predicted regions contained polymorphic amino acids, however mutations were located in less antigenic epitopes. These substitutions did not affect the epitope prediction, and had limited impact on the calculated antigenic score (e.g., region 7, 1.154 vs 1.153).

Table 4 Potential antigenic determinants for the Pvs48/45

SNPs location on 3D Pvs48/45 domain structure

A 3D model of Pvs48/45 was generated to understand the potential structure–function relationship of the nine polymorphic amino acids under balancing selection. SNPs were located in different regions of Pvs48/45: H211N (18.6 %) was in an intervening region between domains 1 and 2; K250N (39.5 %) was located in domain CRD-2, which is not considered a six-cys domain; and E353Q (41.9 %), A376T (50.7 %), K390T (1.1 %), and K418R (51.7 %) in domain CRD-3, which is the nearest to the trans-membrane region (Fig. 3). Mapping of the SNPs that led to amino acid substitutions onto the Pvs48/45 3D model domains showed that these residues are located in the loop regions.

Fig. 3

A ribbon representation of 3D models of the Pvs48/45 domains. Space-filling representation of amino-acid side chains (red, blue and yellow balls) denotes the locations of the non-synonymous amino acid substitutions in the three cysteine-rich domains (CRD)


This study showed a limited pvs48/45 genetic diversity in a total of 282 P. vivax isolates worldwide. Only 18 amino acid substitutions were found within the entire protein sequence of an estimated 450 amino acid residues. Plasmodium vivax sequences corresponded to isolates from nine distant countries in three continents. Two pvs48/45 haplotypes were found to be shared by Asian and LA parasites, with a strong geographical allele clustering. Recent studies on the diversity of pvs48/45 among P. vivax isolates circulating in the Korean peninsula, China and Thailand showed low levels of genetic diversity [17, 18, 21, 37]; likewise, Brazilian isolates showed almost no variation when compared to the Sal I reference strain (PVX_083235), originally from El Salvador.

Interestingly, Korean, Colombian and Honduran isolates displayed limited sequence polymorphism. Pvs48/45 nucleotide and amino acid substitutions in isolates from Korea were found at pre-CRD (E35K), CRD-2 (H211N and K250N) and CRD-3 (D335Y, A376T, I380T, K418R). Pvs48/45 was more conserved in the Korean populations where nucleotide diversity varied from 0.00053 [17] to 0.00147 [17, 18], and the haplotypes V was unique for these populations. Plasmodium vivax was recently re-introduced into the peninsula of Korea with a rapid spread pattern, suggestive of a high genetic diversity [38]. This could explain the greater pvs48/45 variability observed in Korean isolates as compared to isolates from Honduras and Mexico, and the almost absent variability among Brazilian isolates Despite the variability in the Korean isolates, globally, Pvs48/45 remains a highly conserved antigen compared to other transmission-blocking vaccine candidates.

Results are in agreement with previous observations that transmission-blocking vaccine candidate antigens Pvs25, Pvs28, Pvs48/45, and PvWARP showed limited sequence polymorphisms [18]. More importantly, the limited polymorphism found here does not appear to affect the immunogenicity of predicted epitopes as only three of nine amino acid substitutions in isolates from Colombia and Honduras were located at CRD2 (H211N and K250N) and CRD3 (E353Q). No substitutions were observed in CRD1, in agreement with reports for Korean isolates and for P. falciparum in Kenyan, Thai, Indian, and Venezuelan isolates [39, 40]. However, further studies are required to confirm the role of these B cell epitopes and to identify T cell epitopes in defining the potential of Pvs48/45 as a transmission-blocking vaccine candidate.

Pvs48/45 Cys domains are important for proper conformation of immune epitopes [8, 45]. In Pfs48/45, four epitopes designated epitope V (CRD1), epitope IIb (CRD2), epitope III (CRD2), and epitope I (CRD3) have been described previously [8]. The N-terminal CRD2 and CRD3 epitopes appear to be transmission-blocking targets as specific monoclonal antibodies to these regions have demonstrated an ability to prevent parasite fertilization, and consequently mosquito infection [12, 46].

Substitutions H211N and K250N are predicted to be located in loop regions [18], which could serve as potential vaccine targets. Interestingly, no amino acid substitutions were found in any of the Cys residues of Pvs48/45 in the present study, which are critical for proper presentation of the transmission-blocking epitopes [12]. However, an amino acid substitution (E353Q) was found next to a Cys residue reported to be involved in a disulfide bond. The influence of this variation on the formation of the disulfide bridge is yet to be explored.

Although parasite antigen diversity has been explained in part by immune pressure on the parasite [4143], it does not appear to apply to Pvs48/45 as the protein is highly immunogenic, and it is expressed during the entire gametocyte maturation process. For P. vivax sexual antigens the exposure to the immune system could be longer than in P. falciparum due to the early appearance of P. vivax gametocytes in circulation [44]. However it does not appear to apply to Pvs48/45 as the protein is conserved and highly immunogenic under natural conditions.

Transmission-blocking vaccines have been considered a promising strategy/tool for malaria control/elimination. In P. vivax malaria it has been observed that gametocytogenesis occurs earlier than in P. falciparum and remains active even in asymptomatic carriers [44]. Consequently, malaria transmission to mosquitoes is likely to be more efficient, and thus, transmission-blocking vaccines would have a greater impact [47].


There is limited sequence polymorphism in pvs48/45 with noted geographical clustering among Asian and American isolates. The low genetic diversity of the protein does not influence the predicted antigenicity or protein structure and, therefore, supports its further development as a transmission-blocking vaccine candidate with widespread global potential.


  1. 1.

    Lacerda MV, Fragoso SC, Alecrim MG, Alexandre MA, Magalhães BM, Siqueira AM, et al. Postmortem characterization of patients with clinical diagnosis of Plasmodium vivax malaria: to what extent does this parasite kill? Clin Infect Dis. 2012;55:e67–74.

    Article  PubMed  Google Scholar 

  2. 2.

    Mendis K, Sina BJ, Marchesini P, Carter R. The neglected burden of Plasmodium vivax malaria. Am J Trop Med Hyg. 2001;64:97–106.

    PubMed  CAS  Google Scholar 

  3. 3.

    malERA Consultative Group on Vaccines. A research agenda for malaria eradication: vaccines. PLoS Med. 2011;8:e1000398.

    Article  Google Scholar 

  4. 4.

    Birkett AJ, Moorthy VS, Loucq C, Chitnis CE, Kaslow DC. Malaria vaccine R&D in the Decade of Vaccines: breakthroughs, challenges and opportunities. Vaccine. 2013;31(Suppl 2):B233–43.

    Article  PubMed  Google Scholar 

  5. 5.

    Carter R. Transmission blocking malaria vaccines. Vaccine. 2001;19:2309–14.

    Article  PubMed  CAS  Google Scholar 

  6. 6.

    van Dijk MR, Janse CJ, Thompson J, Waters AP, Braks JA, Dodemont HJ, et al. A central role for P48/45 in malaria parasite male gamete fertility. Cell. 2001;104:153–64.

    Article  PubMed  Google Scholar 

  7. 7.

    Carter R, Coulson A, Bhatti S, Taylor BJ, Elliott JF. Predicted disulfide-bonded structures for three uniquely related proteins of Plasmodium falciparum, Pfs230, Pfs48/45 and Pf12. Mol Biochem Parasitol. 1995;71:203–10.

    Article  PubMed  CAS  Google Scholar 

  8. 8.

    Gerloff DL, Creasey A, Maslau S, Carter R. Structural models for the protein family characterized by gamete surface protein Pfs230 of Plasmodium falciparum. Proc Natl Acad Sci USA. 2005;102:13598–603.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. 9.

    Arévalo-Herrera M, Vallejo AF, Rubiano K, Solarte Y, Marin C, Castellanos A, et al. Recombinant Pvs 48/45 antigen expressed in E. coli generates antibodies that block malaria transmission in Anopheles albimanus mosquitoes. PLoS ONE. 2015;10:e0119335.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. 10.

    Ong C, Zhang K, Eida S, Graves P, Dow C, Looker M, et al. The primary antibody response of malaria patients to Plasmodium falciparum sexual stage antigens which are potential transmission blocking vaccine candidates. Parasite Immunol. 1990;12:447–56.

    Article  PubMed  CAS  Google Scholar 

  11. 11.

    Riley E, Ong C, Olerup O, Eida S, Allen S, Bennett S, et al. Cellular and humoral immune responses to Plasmodium falciparum gametocyte antigens in malaria-immune individuals. Limited response to the 48/45-kilodalton surface antigen does not appear to be due to MHC restriction. J Immunol. 1990;144:4810–6.

    PubMed  CAS  Google Scholar 

  12. 12.

    Outchkourov N, Vermunt A, Jansen J, Kaan A, Roeffen W, Teelen K, et al. Epitope analysis of the malaria surface antigen pfs48/45 identifies a subdomain that elicits transmission blocking antibodies. J Biol Chem. 2007;282:17148–56.

    Article  PubMed  CAS  Google Scholar 

  13. 13.

    Roeffen WF, Raats JM, Teelen K, Hoet RM, Eling WM, van Venrooij WJ, et al. Recombinant human antibodies specific for the Pfs48/45 protein of the malaria parasite Plasmodium falciparum. J Biol Chem. 2001;276:19807–11.

    Article  PubMed  CAS  Google Scholar 

  14. 14.

    Vermeulen AN, Roeffen WF, Henderik JB, Ponnudurai T, Beckers PJ, Meuwissen JH. Plasmodium falciparum transmission blocking monoclonal antibodies recognize monovalently expressed epitopes. Dev Biol Stand. 1985;62:91–7.

    PubMed  CAS  Google Scholar 

  15. 15.

    Tsuboi T, Kaslow DC, Gozar MM, Tachibana M, Cao YM, Torii M. Sequence polymorphism in two novel Plasmodium vivax ookinete surface proteins, Pvs25 and Pvs28, that are malaria transmission-blocking vaccine candidates. Mol Med. 1998;4:772–82.

    PubMed  PubMed Central  CAS  Google Scholar 

  16. 16.

    Feng H, Zheng L, Zhu X, Wang G, Pan Y, Li Y, et al. Genetic diversity of transmission-blocking vaccine candidates Pvs25 and Pvs28 in Plasmodium vivax isolates from Yunnan Province, China. Parasit Vectors. 2011;4:224.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. 17.

    Kang JM, Ju HL, Moon SU, Cho PY, Bahk YY, Sohn WM, et al. Limited sequence polymorphisms of four transmission-blocking vaccine candidate antigens in Plasmodium vivax Korean isolates. Malar J. 2013;12:144.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. 18.

    Woo MK, Kim KA, Kim J, Oh JS, Han ET, An SS, et al. Sequence polymorphisms in Pvs48/45 and Pvs47 gametocyte and gamete surface proteins in Plasmodium vivax isolated in Korea. Mem Inst Oswaldo Cruz. 2013;108:359–67, pii: S0074-02762013000300359.

    Article  PubMed Central  CAS  Google Scholar 

  19. 19.

    Alexandre MA, Ferreira CO, Siqueira AM, Magalhaes BL, Mourao MP, Lacerda MV, et al. Severe Plasmodium vivax malaria, Brazilian Amazon. Emerg Infect Dis. 2010;16:1611–4.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Chaparro P, Padilla J, Vallejo AF, Herrera S. Characterization of a malaria outbreak in Colombia in 2010. Malar J. 2013;12:330.

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Tachibana M, Suwanabun N, Kaneko O, Iriko H, Otsuki H, Sattabongkot J, et al. Plasmodium vivax gametocyte proteins, Pvs48/45 and Pvs47, induce transmission-reducing antibodies by DNA immunization. Vaccine. 2015;33:1901–8.

    Article  PubMed  CAS  Google Scholar 

  22. 22.

    Broad Institute [].

  23. 23.

    Luo Z, Sullivan SA, Carlton JM. The biology of Plasmodium vivax explored through genomics. Ann NY Acad Sci. 2015;1342:53–61.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. 24.

    Miller SA, Dykes DD, Polesky HF. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 1988;16:1215.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. 25.

    Rougemont M, Van Saanen M, Sahli R, Hinrikson HP, Bille J, Jaton K. Detection of four Plasmodium species in blood from humans by 18S rRNA gene subunit-based and species-specific real-time PCR assays. J Clin Microbiol. 2004;42:5636–43.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. 26.

    Le H, Hinchcliffe M, Yu B, Trent RJ. Computer-assisted reading of DNA sequences. Clin Bioinform. 2008;141:177–97.

    Article  CAS  Google Scholar 

  27. 27.

    Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, et al. Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28:1647–49.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009;25:1451–2.

    Article  PubMed  CAS  Google Scholar 

  29. 29.

    Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. 30.

    Nei M, Gojobori T. Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol. 1986;3:418–26.

    PubMed  CAS  Google Scholar 

  31. 31.

    Nei M, Kumar S. Molecular evolution and phylogenetics. Oxford: Oxford University Press; 2000.

    Google Scholar 

  32. 32.

    Bryson CJ, Jones TD, Baker MP. Prediction of immunogenicity of therapeutic proteins: validity of computational tools. BioDrugs. 2010;24:1–8.

    Article  PubMed  CAS  Google Scholar 

  33. 33.

    Tonkin ML, Arredondo SA, Loveless BC, Serpa JJ, Makepeace KA, Sundar N, et al. Structural and biochemical characterization of Plasmodium falciparum 12 (Pf12) reveals a unique interdomain organization and the potential for an antiparallel arrangement with Pf41. J Biol Chem. 2013;288:12805–17.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. 34.

    Soding J, Biegert A, Lupas AN. The HHpred interactive server for protein homology detection and structure prediction. Nucleic Acids Res. 2005;33:W244–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. 35.

    Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22:4673–80.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. 36.

    Dayringer H, Tramontano A, Sprang S, Fletterick R. Interactive program for visualization and modelling of proteins, nucleic acids and small molecules. J Mol Gr. 1986;4:82–7.

    Article  CAS  Google Scholar 

  37. 37.

    Feng H, Gupta B, Wang M, Zheng W, Zheng L, Zhu X, et al. Genetic diversity of transmission-blocking vaccine candidate Pvs48/45 in Plasmodium vivax populations in China. Parasit Vectors. 2015;8:615.

    Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Choi YK, Choi KM, Park MH, Lee EG, Kim YJ, Lee BC, et al. Rapid dissemination of newly introduced Plasmodium vivax genotypes in South Korea. Am J Trop Med Hyg. 2010;82:426–32.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. 39.

    Anthony TG, Polley SD, Vogler AP, Conway DJ. Evidence of non-neutral polymorphism in Plasmodium falciparum gamete surface protein genes Pfs47 and Pfs48/45. Mol Biochem Parasitol. 2007;156:117–23.

    Article  PubMed  CAS  Google Scholar 

  40. 40.

    Escalante AA, Grebert HM, Chaiyaroj SC, Riggione F, Biswas S, Nahlen BL, et al. Polymorphism in the gene encoding the Pfs48/45 antigen of Plasmodium falciparum. XI. Asembo Bay Cohort Project. Mol Biochem Parasitol. 2002;119:17–22.

    Article  PubMed  CAS  Google Scholar 

  41. 41.

    Escalante AA, Lal AA, Ayala FJ. Genetic polymorphism and natural selection in the malaria parasite Plasmodium falciparum. Genetics. 1998;149:189–202.

    PubMed  PubMed Central  CAS  Google Scholar 

  42. 42.

    McConkey GA, Waters AP, McCutchan TF. The generation of genetic diversity in malaria parasites. Annu Rev Microbiol. 1990;44:479–98.

    Article  PubMed  CAS  Google Scholar 

  43. 43.

    Neafsey DE, Juraska M, Bedford T, Benkeser D, Valim C, Griggs A, et al. Genetic diversity and protective efficacy of the RTS, S/AS01 malaria vaccine. N Engl J Med. 2015;373:2025–37.

    Article  PubMed  Google Scholar 

  44. 44.

    Vallejo AF, García J, Amado-Garavito AB, Arévalo-Herrera M, Herrera S. Plasmodium vivax gametocyte infectivity in sub-microscopic infections. Malar J. 2016;15:1.

    Article  Google Scholar 

  45. 45.

    Pradel G. Proteins of the malaria parasite sexual stages: expression, function and potential for transmission blocking strategies. Parasitology. 2007;134:1911–29.

    Article  PubMed  CAS  Google Scholar 

  46. 46.

    Outchkourov NS, Roeffen W, Kaan A, Jansen J, Luty A, Schuiffel D, et al. Correctly folded Pfs48/45 protein of Plasmodium falciparum elicits malaria transmission-blocking immunity in mice. Proc Natl Acad Sci USA. 2008;105:4301–5.

    Article  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Branch O, Casapia WM, Gamboa DV, Hernandez JN, Alava FF, Roncal N, et al. Clustered local transmission and asymptomatic Plasmodium falciparum and Plasmodium vivax malaria infections in a recently emerged, hypoendemic Peruvian Amazon community. Malar J. 2005;4:27.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Authors’ contributions

SH and MA conceived and designed the study; NM, AV and SH wrote the manuscript; NM and AT performed the laboratory work. AK performed structural modelling of Pvs48/45. ML and JA contributed reagents/materials/analytical tools. All authors critically revised the manuscript. All authors read and approved the final manuscript.


The authors thank the communities of the endemic areas of Brazil, Honduras and Colombia that participated in this study. Special thanks to Miguel Angel Hernandez for his technical assistance and Yoldy Benavides for statistical support. This work was supported by NIAID (Research Grant U19AI089702 and 1R01AI12123701) and Colciencias (Grant Contracts 360-2011, 685-2013 and 719-2013).

Competing interests

The authors declare that they have no competing interests.

Author information



Corresponding author

Correspondence to Sócrates Herrera.

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

Vallejo, A.F., Martinez, N.L., Tobon, A. et al. Global genetic diversity of the Plasmodium vivax transmission-blocking vaccine candidate Pvs48/45. Malar J 15, 202 (2016).

Download citation


  • Malaria
  • Latin American
  • Korean Isolate
  • Plasmodium Knowlesi
  • Vivax Isolate