Multiple origins of resistance-conferring mutations in Plasmodium vivax dihydrofolate reductase
© Hawkins et al; licensee BioMed Central Ltd. 2008
Received: 14 January 2008
Accepted: 28 April 2008
Published: 28 April 2008
In order to maximize the useful therapeutic life of antimalarial drugs, it is crucial to understand the mechanisms by which parasites resistant to antimalarial drugs are selected and spread in natural populations. Recent work has demonstrated that pyrimethamine-resistance conferring mutations in Plasmodium falciparum dihydrofolate reductase (dhfr) have arisen rarely de novo, but spread widely in Asia and Africa. The origin and spread of mutations in Plasmodium vivax dhfr were assessed by constructing haplotypes based on sequencing dhfr and its flanking regions.
The P. vivax dhfr coding region, 792 bp upstream and 683 bp downstream were amplified and sequenced from 137 contemporary patient isolates from Colombia, India, Indonesia, Papua New Guinea, Sri Lanka, Thailand, and Vanuatu. A repeat motif located 2.6 kb upstream of dhfr was also sequenced from 75 of 137 patient isolates, and mutational relationships among the haplotypes were visualized using the programme Network.
Synonymous and non-synonymous single nucleotide polymorphisms (SNPs) within the dhfr coding region were identified, as was the well-documented in-frame insertion/deletion (indel). SNPs were also identified upstream and downstream of dhfr, with an indel and a highly polymorphic repeat region identified upstream of dhfr. The regions flanking dhfr were highly variable. The double mutant (58R/117N) dhfr allele has evolved from several origins, because the 58R is encoded by at least 3 different codons. The triple (58R/61M/117T) and quadruple (57L/61M/117T/173F, 57I/58R/61M/117T and 57L/58R/61M/117T) mutant alleles had at least three independent origins in Thailand, Indonesia, and Papua New Guinea/Vanuatu.
It was found that the P. vivax dhfr coding region and its flanking intergenic regions are highly polymorphic and that mutations in P. vivax dhfr that confer antifolate resistance have arisen several times in the Asian region. This contrasts sharply with the selective sweep of rare antifolate resistant alleles observed in the P. falciparum populations in Asia and Africa. The finding of multiple origins of resistance-conferring mutations has important implications for drug policy.
In order to maximize the useful therapeutic life of antimalarial drugs, it is crucial to understand the mechanisms by which parasites resistant to antimalarial drugs are selected and subsequently spread in natural populations. This is a major issue in Plasmodium falciparum, where resistance to two safe, inexpensive drugs, chloroquine and sulphadoxine-pyrimethamine, has spread widely in endemic areas (for review see [1, 2]). Chloroquine has been the drug of choice for Plasmodium vivax for decades, but resistance has been reported in several areas of south-east Asia, and the spread of these resistant strains has serious implications for public health . While sulphadoxine-pyrimethamine is not generally recommended as a treatment for P. vivax, in many regions P. vivax is sympatric with P. falciparum [4–6]. Due to presumptive treatment for P. falciparum, misdiagnosis or mixed-species infection, P. vivax populations are sometimes inadvertently exposed to sulphadoxine-pyrimethamine pressure. Thus, study of the resistance to pyrimethamine in P. vivax can be a very useful tool to understand the evolution of resistance in these parasite populations.
Point mutations in the gene that encodes dihydrofolate reductase (DHFR) confer resistance to pyrimethamine in both P. vivax and P. falciparum, and mutant alleles have been identified in most endemic regions (for review see [1, 7–9]). In P. falciparum, non-synonymous single nucleotide polymorphisms (SNPs) that alter the amino acids within the active site of the enzyme at residues 50, 51, 59, 108 and 164 have been demonstrated both in vitro and in vivo to confer resistance to pyrimethamine . Studies of the P. vivax dhfr gene have associated changes at amino acids 49, 57, 58, 61, 117 and 173 with pyrimethamine resistance (for review see ). Not surprisingly, most of these amino acid changes are also located at similar positions, as compared to P. falciparum, within the active site for the P. vivax enzyme. A recent study conducted in India has found that mutations in P. vivax dhfr and P. falciparum dhfr are correlated, and that resistance-conferring mutations in P. vivax dhfr are more common in areas where P. falciparum is the major Plasmodium species and where sulphadoxine-pyrimethamine usage is highest. These findings strongly suggest that sulphadoxine-pyrimethamine used to treat P. falciparum exerts substantial selective pressure on P. vivax populations, providing a selective advantage to parasites bearing resistance-conferring mutations in P. vivax dhfr .
Despite these similarities between the two systems, there are some striking differences. Most important, the P. vivax dhfr gene is highly polymorphic. Over 20 different alleles of the dhfr coding region have been identified from a limited geographic sampling and insertions/deletions (indels) and synonymous and non-synonymous changes are common (for review see ). In contrast, only a handful of P. falciparum dhfr alleles have been identified from far more extensive surveillance, and insertions/deletions and non-synonymous changes are exceedingly rare (for review see ). Thus, the mutation set seen in P. vivax dhfr is substantially more diverse than that seen in P. falciparum dhfr. It is important to acknowledge that due to difficulties with in vitro culture of P. vivax our knowledge of the impact of mutations in dhfr on resistance to pyrimethamine has been derived from yeast and bacterial transfection systems and from a limited number of trials in human subjects (for review see ). This means that definition of true in vivo and in vitro resistance-conferring dhfr alleles is somewhat challenging and controversial.
Several groups have assessed the origin and spread of resistance-conferring mutations in P. falciparum dhfr by assessing microsatellites flanking the gene [11–17]. Remarkably, the highly resistant triple-mutant P. falciparum dhfr allele in Africa shares a common origin with dhfr alleles bearing two to four mutations in Southeast Asia . In contrast, these loci show high levels of variation around sensitive dhfr alleles. Thus, mutations that confer pyrimethamine resistance have arisen de novo extremely rarely in P. falciparum and most resistant alleles in Asian and African populations are identical by descent, indicative of a selective sweep of this allele in these populations.
However, recent work has suggested that the common triple mutant allele of dhfr may have arisen independently in Kenyan populations of P. falciparum . Furthermore, it has been found in South America that a triple mutant allele of P. falciparum dhfr arose on a haplotype different from that observed in Southeast Asia and Africa .
Recently one group has attempted to examine the evolution of resistance-conferring mutations in P. vivax dhfr by assessing microsatellites positioned 38.83 and 230.64 kb upstream of dhfr and 6.15 kb and 283.28 kb downstream . These microsatellite loci were found to be highly polymorphic, with expected heterozygosity ranging from 0.50 to 0.82. However, there was no association between mutations in P. vivax dhfr and the flanking microsatellites. It may be speculated that this lack of association may have been due, in part, to the great distance between the assessed microsatellites and the gene. For these microsatellites to have hitchhiked along with the dhfr gene selection would have had to have been extremely strong and quite recent, with little recombination occurring to break down associations and little mutation of microsatellites . Given these stipulations, it may not be surprising that there was no association between the flanking microsatellites and P. vivax dhfr.
In any case, not all drug pressure has produced dramatic selective sweeps of the P. falciparum population. The point mutations in the cytochrome b1 gene that confer resistance to the atovaquone component of Malarone® have occurred repeatedly and independently . The increased copy number that confers resistance to mefloquine also appears to have been selected in multiple independent sites, even within the small area of Southeast Asia where the drug has been intensively used [14, 21]. Thus, the selective sweep paradigm may not apply to resistance to all antimalarial drugs even in P. falciparum.
Given the differences in diversity of P. vivax dhfr alleles as compared to P. falciparum, it cannot be assumed that P. vivax will follow the pattern of selective sweep generally observed for P. falciparum dhfr. To address this question, in this paper the origin and spread of resistance-conferring mutations in P. vivax dhfr are assessed.
Materials and methods
Orientation to Plasmodium vivax dhfr-ts
The P. vivax genome was recently sequenced by The Institute for Genomic Research (TIGR) . 3,306 bp lie between P. vivax dhfr-ts and the nearest upstream ORF, and 880 bp lie between P. vivax dhfr-ts and the nearest downstream ORF; there are no introns.
Sample sources and DNA extraction
Genomic DNA was extracted from filter paper blotted with the blood of patients infected with P. vivax (Qiagen, Rockville MD). P. vivax dhfr and 792 bp upstream/683 bp downstream were amplified and sequenced from 137 contemporary patient isolates (Colombia, n = 9; India, n = 24; Indonesia, n = 43; Papua New Guinea, n = 7; Sri Lanka, n = 16; Thailand, n = 29; Vanuatu, n = 9) and from the MR4 repository, we assessed samples from Panama (1966), Nicaragua (pre-1986), Pakchong (Thailand, 1972), and ONG (Vietnamese refugee who had spent time in Indonesia, collected 1980) [23, 24]. Amplification of Indian isolates was performed within India, and amplicons were sent to the United States for sequencing.
The region further upstream of P. vivax dhfr, to 3,258 bp upstream, was amplified and sequenced from a subset of 75 of the 137 patient isolates (Colombia, n = 7; Indonesia, n = 24; Sri Lanka, n = 13; Papua New Guinea, n = 7; Thailand, n = 17; Vanuatu, n = 7) and from the 4 MR4 isolates described above. In addition, ts was sequenced from 19 patient isolates (Colombia, n = 8; Indonesia, n = 4; Thailand, n = 7).
The Colombian samples were collected from Urabá, on the western coast of Colombia, in 2005. The Indonesian samples are derived from two locations, Papua (n = 29) in 1996 to 1999 and Java (n = 14) in 2000, which are separated by approximately 3,200 km. The Thai samples are derived from the Thai/Cambodian border (n = 6) and from the Thai/Myanmar border (n = 23) in 2005. The Sri Lankan samples are derived from the north of the island (n = 12), and the south (n = 3) in 2003; in addition, there is one Sri Lankan isolate whose geographic origin is unknown. The Indian isolates are derived from Nadiad, Gujarat (n = 6), Delhi (n = 11), Chennai, Tamilnadu (n = 4), and Goa (n = 3) and were collected during 2003 to 2005. The Vanuatu isolates are from Malo Island in 2005 (n = 9). The Papua New Guinea isolates are from East New Britain Province in 1989 (n = 2), from an unknown location passaged through Aotus monkey, collected 1989 (n = 1), and from Lae in 2006 (n = 4).
All isolates were derived from studies that had been approved by the appropriate local Institutional Review Board and these anonymous samples are in the exempt category of the University of Washington Human Subjects Review Board.
Amplification of Pvdhfr and flanking region (Product A: 792 bp upstream to 683 bp downstream)
Primers for amplification and sequencing of Pvdhfr-ts and flanking, using PCR product A (amplifies P. vivax dhfr-ts and 792 bp upstream, 683 bp downstream). All sequences are written 5' to 3'
PCR A 1st nested
TGA ACA GCC AAG CGA ATA GGT AAA A
PCR A 1st nested
ATT TGA AGG TTA AAA TGG GGT GAC G
PCR A 2nd nested/sequencing
ATG CAC ACA TCT TCG CTC TC
PCR A 2nd nested/sequencing
TCT TTT TCA CGT TCG CTG TG
ATG GAG GAC CTT TCA GAT GTA TT
AAA AAA ATA TGC ACT CCC CAT TT
ACT TTT ATA GCT AGC TAG CGA AGT GTT
TTT TCT TCG CGG CGA CAA
CAG TTA TAT GCA CAC ATC TTC GC
ACT GCG GAC AGC GCT TCG
TGA AGA TTA AGC AGC ACC CAG
ATG GCT TTA CCT CCT TGT CA
For the second-round amplification of Pvdhfr and flanking, 1 μL FailSafe enzyme (Epicentre Technologies, Madison WI), 5 μL each 20 μM S1105 and S1106, 10 μL 1st nested product (used without any clean-up), 50 μL FailSafe buffer E, and water were combined to a total volume of 100 μL. Products were cleaned with the GeneClean kit (Qbiogene, Solon OH), following manufacturer's instructions; products were quantified by running 5 μL GeneCleaned product on a 0.7% ethidium bromide-stained agarose gel.
Amplification further upstream of Plasmodium vivax dhfr (Product B: 420 bp upstream to 3258 bp upstream)
Primers for amplification and sequencing of Pvdhfr-ts and flanking, using PCR product B (amplifies the region from -3258 bp upstream to -420 bp upstream of P. vivax dhfr-ts). All sequences are written 5' to 3'
PCR 1st nested
ATC AAG GAA GGC AGA CTC CA
PCR 1st nested
AGC GTA CTG CCG TCG AAA TA
PCR 2nd nested, sequencing
GCC TGG TTA CTT TTG GTG GA
PCR 2nd nested, sequencing
AAA AAC TGA GGC CAC ATT CG
ACT TCT CTC CTG GGC AGA CTT
GAG AGT TGG TAA TGC GGG G
CAT GGC TGG GGA AGG CTC
CCC TTA ACC CGC ATG CAC
CTC CCC CCA TGG GAC AAA AA
TTT GAT TTG ATT TGA TTT GAT TTG A
ATG CCA CAG GGA AGT TAC AG
CAT TTT TCA CAT TTT GGA AA
CCT CGC GCG GGG GGG AAA
TGC TGC AAT GCA AGT GGG T
For the second-round amplification of Pvdhfr and flanking, 1 uL FailSafe enzyme (Epicentre Technologies, Madison WI), 5 μL each 20 μM S1259 and S1240, 10 μL 1st nested product (used without any clean-up), 50 μL FailSafe buffer E, and water were combined to a total volume of 100 μL. PCR products were cleaned and quantified as above.
Sequencing was performed using an ABI capillary sequencer (AppliedBiosystems Foster City CA), and double coverage with independent primers was used (Tables 1 and 2). Sequences were aligned and analysed with Sequencher (Gene Codes, Ann Arbor MI). Insertions and deletions were hand verified. Sequences were aligned with the Sal I reference sequence recently sequenced by TIGR .
The freely available programme Network was used to generate median joining networks . To aid in generation of Network diagrams, sequences were aligned with the commercially available programme DNA Alignment version 126.96.36.199 (Fluxus Engineering, Suffolk England). Briefly, the median joining network allows visualization of the mutational paths that may have led to the observed data; haplotypes are linked based on the assumption that mutations are more likely to derive from a more frequent haplotype and proceed to a less frequent haplotype. In interpreting network diagrams, circles represent haplotypes; the diameter of the circle is proportional to the number of isolates represented. The length of lines linking haplotypes is proportional to the number of mutational steps separating haplotypes. Nodes (black circles) represent hypothetical ancestral haplotypes linking the presently extant haplotypes, or may represent haplotypes that, though presently extant, were not sampled.
The Network diagram is especially helpful when trying to determine whether multiple haplotypes of a given dhfr allele are the result of independent origins or of mutations accumulating on an already established haplotype. In the case where multiple haplotypes of a given dhfr allele are present as a result of independent mutations, the haplotypes will appear far from one another on the Network diagram, separated by a large number of mutational steps. In the case where multiple haplotypes of a given dhfr allele are present as a result of mutations accruing on one genetic background (i.e. there is one origin of the allele of interest, with additional polymorphisms accumulating over time), the haplotypes will cluster, and will be separated by a limited number of mutational steps.
For the presented Network diagram, 139 sequences, from 792 bp upstream to 683 bp downstream (PCR product A), were included. All 4 MR4 isolates were included, as well as 135 of the 137 patient isolates, for a total of 139 sequences. The two patient isolates not included in the presented Network diagram are described below. The Network programme was designed to compare sequences that differ only by SNPs, and a multi-nucleotide indel region was identified upstream of dhfr, and another multi-nucleotide indel was identified within the dhfr coding region. To accommodate these differences in the programme, both of these indels were coded as an insertion of a single nucleotide relative to the wildtype sequence, and presented in the Network diagram in that way. There were five indel types for the upstream indel, and four indel types for the indel within dhfr. Because one upstream indel type was carried by a single parasite (Sri Lankan isolate with synonymous mutation in codon 69 and upstream indel type E), this isolate was dropped from the Network diagram. Thus, only four upstream indel types were considered. For entering sequences into Network, the actual sequence of the inserted or deleted region was recoded as wildtype; all other polymorphisms were left as is. Sequences with neither an upstream indel nor an indel within dhfr were left as is, while those with an upstream indel had the nucleotide A, G, T or C, to represent upstream indels A, B, C, and D, respectively, appended to the end of their upstream sequence. Sequences with an in-frame indel in dhfr had the nucleotide A, G, T or C, to represent indels 1, 2, 3 and 4, respectively, appended to the beginning of their dhfr sequence. Sequences with both an upstream and in-frame indel had one nucleotide appended to the end of their upstream sequence, and one nucleotide appended to the beginning of their dhfr sequence as described above. This coding system was used because indels are likely to be the result of the appearance or disappearance of large segments of DNA as a unit, not by addition or subtraction of one nucleotide at a time. By entering sequence data with indels coded as the insertion of a single nucleotide relative to the wildtype sequence, the Network software more accurately portrays the relationships between alleles.
In addition, for the presented Network diagram, one Indonesian quadruple mutant (the isolate wildtype at nucleotide 581 upstream of dhfr) was excluded. This isolate was excluded from the Network diagram because its inclusion created a spurious link between the Papua New Guinean quadruple mutants and the remainder of the Indonesian quadruple mutants. With this Indonesian quadruple mutant included in the dataset, the generated Network diagram is identical to that presented herein except that there is a bridge between the Papua New Guinean quadruple mutants and the Indonesian quadruple mutants.
Results and Discussion
Plasmodium vivax dhfr-ts
In order to present a logical framework for this complex dataset, the haplotypes of isolates wildtype at dhfr codons 57, 58, 61 and 117 will be presented first, followed by isolates with progressively more mutated dhfr alleles. Non-synonymous changes in these four codons will be examined first because they have been shown to specify key amino acids in pyrimethamine-resistance. Of the total 141 isolates examined, 32 isolates carried an allele wildtype at these positions. Among these isolates the dhfr coding region contained both synonymous and non-synonymous mutations as well as four distinct in-frame indels, abbreviated 1 through 4 in Figure 1, and described in the figure legend. The flanking regions of these alleles carried a variety of single nucleotide polymorphisms (SNPs). All isolates assessed in this study differed from the TIGR reference by the substitution of a G for an A at nucleotide 245 upstream of P. vivax dhfr. A highly polymorphic indel region upstream of dhfr, abbreviated as A through E in Figure 1, was also identified. All together there were 14 extended haplotypes carried by the 32 isolates wildtype at codons 57, 58, 61 and 117.
The alleles mutant at codons 57, 58, 61 and 117 are arranged in Figure 1 according to increasing numbers of non-synonymous SNPs in the coding region. Four isolates carried the 117N allele, with two distinct haplotypes. Four isolates carried an allele that encoded 57L/58R, but two different nucleotide substitutions encoded the leucine at codon 57. The Sri Lankan isolates bearing the 57L/58R allele had an adenine at nucleotide 171, while the 57L/58R Papua New Guinean isolate carried a cytosine at that position. Based on the differences in the dhfr coding region, including the in-frame indel, and the flanking intergenic region, it is clear that in this dataset we have identified two origins of the 57L/58R allele.
Previous work had documented a double mutant allele, 58R/117N, that is widely disbursed in South Asia (for review see ) and 54 of the isolates in the present study carried an allele that encoded this amino acid combination. Thirteen haplotypes were observed in this group, including alleles with 3 different nucleotide changes that all specify an arginine at codon 58. Forty two of these isolates specified the 58R with a guanine at nucleotide 174; these came from a variety of locations in India, Java and Papua Indonesia, the Thai/Cambodian border and the Thai/Myanmar border, and one isolate from Vanuatu. Three isolates from Papua Indonesia had an adenine at nucleotide 174, and the isolates from Colombia were unique with a cytosine at nucleotide 172. This convergent evolution is likely to reflect selection pressure of pyrimethamine on these isolates. Based on these Pvdhfr coding region differences and on the flanking polymorphisms, the overall diversity of Pvdhfr is considerably higher than that observed in double mutant alleles of Pfdhfr.
The major goal of this study was to examine whether highly pyrimethamine-resistant alleles of Pvdhfr have arisen in many locations or, like P. falciparum, appear to have a limited number of origins. To answer this question, the haplotype pattern of the highly mutant triple and quadruple mutant Pvdhfr alleles are of most interest. Seven isolates from Vanuatu that carried a triple mutant allele, 58R/61M/117T, were identified. These isolates had identical dhfr coding regions, but differed in the upstream indel region. One isolate from Vanuatu carried a novel quadruple mutant 57L/58R/117T/173F allele, with the 57 leucine encoded by a cytosine at nucleotide 171, but with a haplotype in the flanking regions similar to the 58R/61M/117T triple mutants.
Isolates that encoded the 57L/58R/61M/117T or 57I/58R/61M/117T allele were identified from three locations: Indonesian Papua, Papua New Guinea and western Thailand. Based on differences in both coding and flanking regions, there appear to be several distinct origins of these quadruple mutant alleles, as well. Eleven of 12 Indonesian quadruple mutants share identical upstream and downstream flanking sequences: a G to A mutation at nucleotide 581 upstream of dhfr and an insertion of three thymines at nucleotide 383 downstream of dhfr. All Indonesian quadruple mutants carried a cytosine at nucleotide 169; four of these isolates also have an in-frame indel within dhfr (listed as 2 in Figure 1). One Indonesian quadruple mutant isolate had a unique haplotype and carried neither the SNP at 581 upstream nor the TTT insertion downstream of dhfr.
The 57L/58R/61M/117T allele was observed in 3 Thai isolates; the 57 leucine was encoded by an adenine at nucleotide 171. The remaining 17 Thai quadruple mutants carried the 57I/58R/61M/117T allele, with adenines at nucleotides 169 and 171. All of these Thai quadruple mutant isolates shared a common haplotype different from that characteristic of the Indonesian quadruple mutant isolates.
Finally, the Papua New Guinean isolates with a quadruple mutant allele have a cytosine at nucleotide 171, yielding the 57L. All six isolates have similar flanking haplotypes, but differ in that one PNG quadruple mutant carries upstream indel B while the others carry upstream indel A. In addition, one isolate carries a SNP at nucleotide 581 upstream. Quadruple mutant alleles from Papua New Guinea dating from 1989 and 2006 were assessed; isolates from each time-point contained nearly identical flanking regions, suggesting that this particular quadruple mutant haplotype was well established in 1989 and continued to be prevalent through 2006.
The patterns of relatedness among the quadruple mutants are most interesting. There are three clusters, reflecting apparent origins of the allele that encodes the 57L(I)/58R/61M/117T enzyme in Indonesia, Thailand and Papua New Guinea. The Thai haplotypes differ only in the non-synonymous SNP that changes codon 57 from leucine to isoleucine, and cluster tightly as expected. The quadruple mutant alleles from PNG also cluster together; these isolates also cluster with the triple and quadruple mutants from Vanuatu. The Indonesian quadruple mutant isolates cluster together clearly separate from the Thai and PNG/Vanuatu groups. These data support strongly the inference that highly pyrimethamine resistant alleles of Pvdhfr have arisen in the Southeast Asian region independently. In the present sample set there are three distinct origins of isolates bearing the highly pyrimethamine-resistance conferring 117T allele, with origins in Thailand, Indonesia, and PNG/Vanuatu.
In conclusion, highly pyrimethamine-resistant Pvdhfr alleles appear to have arisen three times, with origins in Thailand, Indonesia, and PNG/Vanuatu, and their diversity is dramatically higher than that seen in P. falciparum. The contrast in these parameters suggests that drug resistance may arise and spread very differently in the two species.
The isolates included in the present study came principally from Asia. Within this relatively small number of samples, three distinct origins of alleles bearing the 117 threonine mutation that is associated, in concert with mutations in other codons, with very high resistance to pyrimethamine were identified (for review see ). Moreover, isolates that express the same amino acid sequence of some very common double mutant alleles differ in the codons that encode the residue. Presumably this reflects very strong convergent evolution of the resistant enzyme. In contrast, in P. falciparum the two common double mutant dhfr alleles have arisen a few times, but the nucleotide sequences that encode the amino acid changes at residue 51 or 59 are the same. Most striking, the highly pyrimethamine-resistant triple mutant allele has arisen only rarely in P. falciparum [13, 16]. Thus, the very wide selective sweep of a few resistant alleles that characterizes Pfdhfr does not seem to be the pattern for Pvdhfr.
What factors could explain the discrepancy between the frequency with which highly mutant alleles arise in Pfdhfr versus Pvdhfr? First, it is important to note that the paucity of origins of highly mutant Pfdhfr was unexpected. Given the intrinsic mutation rate of approximately 1.6 × 10-4/locus/generation , and assuming that roughly 108 to 1012 parasites may reside within a single patient, mutations in dhfr would be expected to arise de novo in every patient. For example, a study combining in vitro culture of P. falciparum under pyrimethamine pressure and mathematical modeling found a mutation rate of 2.5 × 10-9 mutations/dhfr gene/replication, though they assessed only two codons for non-synonymous substitutions .
It may be possible that differences in the frequency with which resistance-conferring mutations arise and spread in Pvdhfr versus Pfdhfr are due to differences in the mutation rates of the parasite species. However, it is not currently possible to assess this hypothesis, as experimentally determined P. vivax mutation rate and recombination rate are unknown. This study highlights that P. vivax and P. falciparum are different in important ways, notably that the origin and spread of drug resistance may not occur in the same manner in these two species. In addition, as sulphadoxine-pyrimetamine is not generally used intentionally to combat P. vivax parasites, the level of drug pressure exerted against parasites of this species is likely quite variable. This variable drug pressure may have an impact on the speed with which resistance-conferring mutations in P. vivax dhfr arise and are propagated through the population.
Other work has outlined important differences in the basic biology of P. vivax and P. falciparum. For example, P. vivax has a latent hypnozoite stage in the liver, in which relapses may occur months or even years following the primary infection; P. falciparum does not have this characteristic. In addition, gametocytogenesis is quite different in the two species, with the P. falciparum sexual cycle delayed with respect to the asexual cycle. In addition, P. vivax gametocytes at all stages of development are susceptible to drugs that kill asexual stage parasites, while only P. falciparum stage 1–3 gametocytes are susceptible to most antimalarials (for review see ). It is important to conduct additional studies to understand the biological basis for the finding that drug resistance-conferring mutations in dhfr have arisen and spread in a different manner in P. vivax versus P. falciparum.
In the present study quadruple mutant P. vivax dhfr alleles were assessed from Indonesia, Thailand and PNG. Mutant dhfr alleles containing the highly pyrimethamine-resistance conferring 117 threonine mutation were assessed from Vanuatu. Two alleles were identified: 58R/61M/117T and 57L/61M/117T/173F, and these alleles cluster with the quadruple mutant alleles from Papua New Guinea. Thus, the highly mutant dhfr alleles found in this study (those including the 117T mutation in concert with mutations in other codons) have arisen three times, with origins in Thailand, Indonesia, and PNG/Vanuatu. It will be of great future interest to assess the haplotyes of highly mutant P. vivax alleles from additional locales in order to determine the global diversity of these alleles. This study reveals a heavy antifolate selection on the P. vivax population even though the drugs have not been recommended for the treatment of infections of this species. Thus, the results also reflect the very high exposure of P. vivax to sulphadoxine-pyrimethamine, and reveal a major factor contributing to the development and spread of drug resistance.
In conclusion, the present study describes the origin and dissemination of highly mutant P. vivax dhfr alleles. Importantly, the pattern of selective sweep generally evidenced in P. falciparum was not observed; rather, independent mutations are common. Understanding the means by which mutations in P. vivax dhfr arise and spread may have important implications for malaria control policy . Further, it is important to understand gene flow among P. vivax populations in order to predict how resistance to other drugs, for which molecular markers do not yet exist, may spread.
KR was supported by a Golden Jubilee Scholarship. We thank Prof AP Dash, National Institute of Malaria Research, Delhi India for encouragement and support of the work. HJ & SKP are thankful to Drs. R S Yadav, Ashwini Kumar, A M Reetha and Alex Eapen for their help and support. This study was supported by grant AI 55604 from the US National Institutes of Health to CHS.
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