Abstract
Background
Plasmodium malariae is a widely spread but neglected human malaria parasite, which causes chronic infections. Studies on genetic polymorphisms of anti-malarial drug target genes in P. malariae are limited. Previous reports have shown polymorphisms in the P. malariae dihydrofolate reductase gene associated with pyrimethamine resistance and linked to pyrimethamine drug pressure. This study investigated polymorphisms of the P. malariae homologous genes, chloroquine resistant transporter and multidrug resistant 1, associated with chloroquine and mefloquine resistance in Plasmodium falciparum.
Methods
The orthologous P. malariae crt and mdr1 genes were studied in 95 patients with P. malariae infection between 2002 and 2016 from Thailand (N = 51) and Myanmar (N = 44). Gene sequences were analysed using BioEdit, MEGA7, and DnaSP programs. Mutations and gene amplifications were compared with P. falciparum and Plasmodium vivax orthologous genes. Protein topology models derived from the observed pmcrt and pmmdr1 haplotypes were constructed and analysed using Phyre2, SWISS MODEL and Discovery Studio Visualization V 17.2.
Results
Two non-synonymous mutations were observed in exon 2 (H53P, 40%) and exon 8 (E278D, 44%) of pmcrt. The topology model indicated that H53P and E278D were located outside of the transmembrane domain and were unlikely to affect protein function. Pmmdr1 was more diverse than pmcrt, with 10 non-synonymous and 3 synonymous mutations observed. Non-synonymous mutations were located in the parasite cytoplasmic site, transmembrane 11 and nucleotide binding domains 1 and 2. Polymorphisms conferring amino acid changes in the transmembrane and nucleotide binding domains were predicted to have some effect on PmMDR1 conformation, but were unlikely to affect protein function. All P. malariae parasites in this study contained a single copy of the mdr1 gene.
Conclusions
The observed polymorphisms in pmcrt and pmmdr1 genes are unlikely to affect protein function and unlikely related to chloroquine drug pressure. Similarly, the absence of pmmdr1 copy number variation suggests limited mefloquine drug pressure on the P. malariae parasite population, despite its long time use in Thailand for the treatment of falciparum malaria.
Keywords: Malaria, Plasmodium malariae, Chloroquine resistant transporter, Multidrug resistance proteins 1
Background
Plasmodium malariae is one of the five important human Plasmodium species, but its genome sequence has just been revealed [1, 2]. Recently, developed highly sensitive molecular diagnosis methods have shown that the prevalence of P. malariae in many malaria-endemic regions is higher than previously assumed [3]. There is limited information on the biology and molecular genetics of P. malariae as well as on anti-malarial drug resistance in this species for which long-term in vitro culture methods are lacking. Small scale in vitro drug susceptibility testing and clinical efficacy [4] showed that P. malariae in Thailand responds well to pyronaridine [5] and artesunate [6] but that fever clearance time was delayed after treatment with chloroquine [7]. However, P. malariae exhibits a 72-hour erythrocytic stage, which suggests that it may require a longer time to clear parasites after treatment. Therefore, the extended clearance time may not be an indicator for chloroquine resistance in P. malariae [8]. In vitro drug testing in P. malariae is further complicated by the low parasitaemias present in patients and the high proportion of mixed infections with other Plasmodium species. An alternative approach for monitoring anti-malarial drug resistance in P. malariae is the assessment of polymorphisms in anti-malarial drug target genes. Since the molecular markers for drug resistance are not well characterized in P. malariae, the orthologous gene markers associated with drug resistance in Plasmodium falciparum and Plasmodium vivax were considered in P. malariae. Earlier studies have reported polymorphisms in the P. malariae dhps, dhfr and kelch orthologues, which relate to sulfadoxine, pyrimethamine and artemisinin resistance, respectively.
Plasmodium malariae infection rate is generally underestimated and overlooked because it is often asymptomatic and mostly mixed with other Plasmodium species. Drug-resistant P. falciparum and P. vivax have been reported in many regions, including Thailand [9, 10] and Myanmar [11, 12]. Chloroquine-resistant P. falciparum was first documented in 1957 in Thailand which is now widely spread around the globe [13]. Polymorphisms of pfcrt and pfmdr1 genes have been linked to chloroquine resistance with the key determinant of K76T mutation in pfcrt gene [10]. Several studies of pfmdr1 supported that amplification and polymorphism were useful for prediction of chloroquine and mefloquine resistance [14–16]. The pvmdr1 Y976F mutation has been found to correlate with reduced susceptibility to chloroquine [17, 18]. An increased copy number of pvmdr1 has been found in Thailand [17, 18], suggesting that there is a relationship between pvmdr1 copy number and mefloquine pressure. In the Greater Mekong Sub-region, previous drug pressure from chloroquine and mefloquine on the P. malariae parasite population is expected to be considerable, since these drugs have been used widely for the treatment of vivax and falciparum malaria, respectively. The current study focuses on the P. malariae crt and mdr1 orthologue genes, which in P. falciparum are involved in chloroquine and mefloquine resistance. These genes were evaluated in P. malariae isolated of patients from Thailand and Myanmar between 2002 and 2016.
Methods
DNA extraction
Whole blood samples were collected from 95 P. malariae-infected patients from Thailand (51 samples) and Myanmar (44 samples) between 2002 and 2016 (Table 1). DNA was extracted using QIAamp DNA Mini Kit (Qiagen, Germany) and stored at −80 °C until use. Plasmodium species was confirmed by polymerase chain reaction based on 18 small-subunit ribosomal RNA [19, 20].
Table 1.
Country | Location | Year | Sample (N) | Total (N) |
---|---|---|---|---|
Thailand | Tak |
2003–2008, 2012–2016 |
44 | 51 |
Kanchanaburi | 2002–2004 | 6 | ||
Cheangmai | 2003 | 1 | ||
Myanmar | Myanmar | 2009 | 44 | 44 |
Total | 95 |
Amplification of orthologous crt and mdr1 genes from Plasmodium malariae
Specific primers for amplification of pmcrt and pmmdr1 were designed based on the reference sequences (accession number LT594622.1 and LT594631.1). The primers and conditions used for amplification of pmcrt and pmmdr1 are listed in Additional files 1 and 2. Semi-nested and nested PCR were carried out in 20 μl, 2 mM of MgCl2, 250 µM of dNTPs, 250 nM of both forward and reverse primers, 0.5U BIOTAQ DNA polymerase (Bioline, UK), and 2.0 μl of DNA template. The approximated concentration of DNA templates were 80 to 150 ng/μl. The primary PCR products were used as a template in the secondary PCR. Cycling conditions were: initial denaturation at 94 °C for 5 min then denaturation at 94 °C for 1 min, annealing for 1 min, and extension at 72 °C for 1 min plus 30 s, using 30 cycles during the first round and 35 cycles during the second round, follow by a final extension of 72 °C for 10 min. The positive PCR products were purified and submitted for DNA sequencing in South Korea (Macrogen Inc., Korea).
DNA sequences analysis of pmcrt and pmmdr1 genes
DNA sequences were analysed using Clustal software in the Bioedit package [21] together with reference sequences of P. malariae accession numbers LT594622.1 (pmcrt) and LT594631.1 (pmmdr1). DNA sequence polymorphisms and haplotypes patterns were analysed using DnaSP version 6.10.04 [22] and MEGA7 [23].
Detection of pmmdr1 copy number variation
To assess pmmdr1 copy number variations, relative quantitative PCR was performed on the Applied Biosystems StepOnePlus™ (Applied Biosystems, USA). The primers for pmmdr1 and pmβ–tubulin were pmmdr1F (5′- CAGATGTGGGAAACGACAATG-3′), pmmdr1R (5′-TAGAAGCTCCCTCCCCGTTT-3′), pmβ-tubulinF (5′-TGAAGCAACTGGAGGAAGGT-3′), and pmβ-tubulinR (5′-GGACCTGCTCGGACACTATC-3′). SsoFast™ EvaGreen® Supermixes (Biorad, USA) was used as medium, and the thermal cycler profile was prepared according to the manufacturer’s instruction. As calibrator, a single copy control was constructed from a plasmid by insertion of pmmdr1 (nucleotides [nt] 1102 to 1993) and pmβ–tubulin (nucleotides [nt] 1132 to 1215) fragments in a ratio of 1:1 into pGEM®-T Easy Vector (Promega, USA). In addition, the two-copy pmmdr1 control was constructed by insertion of pmmdr1 and pmβ–tubulin fragments in a ratio of 2:1 into the pGEM®-T Easy Vector (Promega, USA). Both of the control plasmids were confirmed their insertions by DNA sequencing. The pmβ–tubulin served as an internal control to calculate the relative amount of pmmdr1 gene by comparing the Ct readings. Copy numbers were calculated as 2−ΔΔCt. All reactions were performed in triplicate. Samples with a copy number more than 1.5 were classified as multiple copies. Reactions were repeated at least twice in case the samples contained ΔΔCt spread > 1.5, a Ct value > 35, or a pmmdr1 copy number higher than 1.3.
Homology modelling of PmCRT and PmMDR1 proteins
The topology structure of PmCRT and PmMDR1 were predicted using Phyre2 [24] and SWISS-MODEL [25]. Homologous sequences of PmCRT and PmMDR1 proteins derived from different haplotypes were searched with PSI-Blast [26]. The secondary structure of PmCRT and PmMDR1 was predicted using Psi-pred 2.5 [27] and Disopred 2.4 softwares [28]. The membrane-spanning domains of PmCRT and PmMDR1 were predicted using Memsat_SVM program [29]. A multi-template approach was selected for prediction of the structural model of PmCRT and PmMDR1 proteins using SWISS-MODEL [25]. The model was evaluated with the VADAR tool and was visualized by Discovery Studio Visualizer V 17.2 [30].
Results
Genetic analysis of pmcrt
Purified PCR products covering the 14 exons of the pmcrt gene from all 95 P. malariae samples were sequenced and analysed. The assembled sequence covered the complete pmcrt coding sequence, with a size of 1272 nucleotides, encoding a protein of 423 amino acids. The multiple sequence alignments showed 9 nucleotide polymorphisms in exons 2, 8, 9, 10 and 12 at nucleotide positions A363C (40%), C346T (18.94%), C353T (53.68%), C394G (4.21%), A403T (28.42%), A2120T (44.2%), T2483T (2.10%), T2637A (1.05%), and A3151T (6.31%). There were 2 non-synonymous mutations in exons 2 and 8 at codons 53 (H53P) and 278 (E278D). The samples collected from Thailand showed more frequent mutations than samples collected from Myanmar. In Thailand, the prevalence of mutations in exons 2 (H53P) and 8 (E278D) were 66.66 and 60.78%, respectively, compared to Myanmar 9.09 and 25%, respectively (Table 2).
Table 2.
Prevalence of Pmcrt polymorphism | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Countries | Areas | N | Non-synonymous mutation | Synonymous mutation | |||||||
Exon 2 | Exon 8 | Exon 2 | Exon 2 | Exon 2 | Exon 2 | Exon 9 | Exon 10 | Exon 12 | |||
A363C CAT > CCT H53P | A2120T GAA > GAT E278D | C346T F47F | C353T L50L | C394G T63T | A403T I66I | T2483C N300N | T2637A L319L | A3151T I375I | |||
Thailand | Kanchanaburia | 6 | 50% (3/6) | 50% (3/6) | 33% (2/6) | 66.66% (4/6) | 0% (0/6) | 50% (3/6) | 1.05% (1/6) | 0% (0/6) | 1.05% (1/6) |
Thailand | Cheangmaib | 1 | 0% (0/1) | 100% (1/1) | 0% (0/1) | 0% (0/1) | 0% (0/1) | 0% (0/1) | 0% (0/1) | 0% (0/1) | 0% (0/1) |
Thailand | Takc | 44 | 70.45% (31/44) | 61.36% (27/44) | 31.81% (14/44) | 61.36% (27/44) | 0% (0/44) | 47.72% (21/44) | 0% (0/44) | 0% (0/44) | 9.09% (4/44) |
Thailand | Total | 51 | 66.66% (34/51) | 60.78% (31/51) | 31.37% (16/51) | 60.78% (31/51) | 0% (0/51) | 47.05% (24/51) | 1.96% (1/51) | 0% (0/51) | 9.80% (5/51) |
Myanmar | Totald | 44 | 9.09% (4/44) | 25% (11/44) | 4.54% (2/44) | 45.45% (20/44) | 9.09% (4/44) | 6.81% (3/44) | 2.27% (1/44) | 2.27% (1/44) | 2.27% (1/44) |
Total in Thailand and Myanmar N = 95 |
40% (38/95) | 44.21% (42/95) | 18.94% (18/95) | 53.68% (51/95) | 4.21% (4/95) | 28.42% (27/95) | 2.10% (2/95) | 1.05% (1/95) | 6.31% (6/95) |
Year of collection: a2002–2004, b2003, c2003–2008 and 2012–2016, d2009
Accession number of reference sequence: LT594622.1
Four haplotypes were characterized from 95 PmCRT sequences (Table 3). All 4 haplotypes were presented in samples from both Thailand and Myanmar. Haplotype 1 (H53P + E278D) was the most prevalent in Thailand (41.18%), whereas in Myanmar haplotype 4 (H53 + E278) was the most prevalent (68.18%). Haplotype 2 (H53E + E278) was observed in higher frequency in Thailand (25.49%, 13/51) than in Myanmar (6.82%, 3/44). There were ten samples (19.61% for Thailand and 22.73% for Myanmar) from both countries showing haplotype 3 (H53 + E278D).
Table 3.
Haplotypes | H53P | E278D | Thailand % (N) | Myanmar % (N) | Frequency % (N) |
---|---|---|---|---|---|
1 | P | D | 41.18% (21/51) | 2.27% (1/44) | 23.15% (22/95) |
2 | P | E | 25.49% (13/51) | 6.82% (3/44) | 0.16% (16/95) |
3 | H | D | 19.61% (10/51) | 22.73% (10/44) | 21.05% (20/95) |
4 | H | E | 13.73% (7/51) | 68.18% (30/44) | 38.94% (37/95) |
Total | 51 | 44 | 95 |
Accession number of reference sequence: LT594622.1
For comparison, PmCRT haplotypes obtained from this study were aligned with the orthologous genes from human Plasmodium spp. The two-point mutations, H53P and E278D, found in P. malariae samples were not corresponded to the point mutations associated with chloroquine resistance described in P. falciparum. To predict the effect of these two-point mutations on PmCRT function, a topology model of PmCRT was constructed and then compared to PfCRT and PvCRT (Fig. 1). This showed that both H53P and E278D mutations are located outside the transmembrane domain (Fig. 1a), and are thus less likely to affect PmCRT function.
Genetic analysis of pmmdr1
DNA sequence analysis of P. malariae mdr1 gene (n = 95) revealed a single open reading frame of 4386 nucleotides, encoding a protein of 1461 amino acids. Results from multiple sequence alignments showed 13 single nucleotide polymorphisms. Of these, three were synonymous mutations at codons S77 (8.42%), S463 (42.10%), and L615 (31.57%). The most common polymorphism in pmmdr1 was in codon 1389 (S463), prevalent of 39.21% in the samples collected from Thailand and of 45.45% in the samples from Myanmar. The identified 10 non-synonymous mutations and their prevalence included N6I (2.10%), Y7C (5.26%), L490I (4.21%), L1063F (16.84%), N1248I (5.26%), T1266S (12.63%), R1361S (3.15%), T1406S (4.21%), A1460S (4.21%), and A1460T (2.10%) (Table 4). For comparison, the non-synonymous mutations observed in pmmdr1 gene were aligned to sequences of the orthologous pfmdr1 and pvmdr1 genes. This showed that the observed point mutations in pmmdr1 were not corresponded to the pfmdr1 or pvmdr1 mutations associated with drug resistance (Additional file 3).
Table 4.
Prevalence of pmmdr1 polymorphism | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Countries | Areas | N | Non-synonymous mutation | Synonymous mutation | |||||||||||
NT 17 AAC > ATC N6I | NT 20 TAT > TGT Y7C | NT 1468 CTT > ATT L490I | NT 3189 TTA > TTC L1063F | NT 3743 AAC > ATC N1248I | NT 3796 ACA > TCA T1266S | NT 4083 AGA > AGT R1361S | NT 4216 ACT > TCT T1406S | NT 4378 GCC > TCC A1460S | NT 4378 GCC > ACC A1460T | NT 231 TCC > TCT S77S | NT 1389 AGC > AGT S463S |
NT 1845 TTG > TTA L615L |
|||
Thailand | Kanchanaburia | 6 |
0% (0/6) |
0% (0/6) |
0% (0/6) |
66.66% (4/6) |
0% (0/6) |
0% (0/6) |
1.05% (1/6) |
1.05% (1/6) |
0% (0/6) |
0% (0/6) |
0% (0/6) |
83.33% (5/6) |
33% (2/6) |
Cheangmaib | 1 |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
0% (0/1) |
100% (1/1) |
100% (1/1) |
|
Takc | 44 | 4.54% (2/44) | 4.54% (2/44) | 0% (0/44) | 27.27% (12/44) | 0% (0/44) | 2.27% (1/44) | 2.27% (1/44) | 2.27% (1/44) | 0% (0/44) | 0% (0/44) | 18.18% (8/44) |
31.81% (14/44) |
25% (11/44) |
|
Total | 51 | 3.92% (2/51) | 3.92% (2/51) | 0% (0/51) | 31.37% (16/51) | 0% (0/51) | 1.96% (1/51) | 3.92% (2/51) | 3.92% (2/51) | 0% (0/51) | 0% (0/51) | 15.68% (8/51) |
39.21% (20/51) |
27.45% (14/51) |
|
Myanmar | Totald | 4 | 0% (0/44) | 6.81% (3/44) | 9.09% (4/44) | 0% (0/44) | 11.36% (5/44) | 25% (11/44) | 2.27% (1/44) | 4.54% (2/44) | 9.09% (4/44) | 4.54% (2/44) | 0% (0/44) |
45.45% (20/44) |
36.36% (16/44) |
Total in Thailand and Myanmar N = 95 |
2.10% (2/95) | 5.26% (5/95) | 4.21% (4/95) | 16.84% (16/95) | 5.26% (5/95) | 12.63% (12/95) | 3.15% (3/95) | 4.21% (4/95) | 4.21% (4/95) | 2.10% (2/95) | 8.42% (8/95) |
42.10% (40/95) |
31.57% (30/95) |
Year of collection: a2002–2004, b2003, c2003–2008 and 2012–2016, d2009
Accession number of reference sequence: LT594631.1
The PmMDR1 sequences showed 16 haplotypes patterns (Table 5). Samples from Myanmar were classified into 13 haplotypes while the samples collected from Thailand were classified into 6 haplotypes. Fifty-five samples, 30 from Thailand and 25 from Myanmar, were wild type (haplotype 16). Haplotypes 3 (NCLLNTRTAA) and 4 (NYLLNSRTAA) were found in both countries. A total of 10 haplotypes (haplotypes 5–7 and 9–15) were only identified in Myanmar, whereas three other haplotypes (haplotypes 1, 2, and 8), were identified only in Thailand (Table 5).
Table 5.
Structure | Parasite cytoplasmic side | NBD1 | TMD11 | NBD2 | Thailand % (N) | Myanmar % (N) | Frequency % (N) | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Haplotypes | N6I | Y7C | L490I | L1063F | N1248I | T1266S | R1361S | T1406S | A1460S | A1460T | |||
1 | N | Y | L | F | N | T | R | T | A | A | 27.45% (14/51) | 0% (0/44) | 14.73% (14/95) |
2 | I | Y | L | L | N | T | R | T | A | A | 3.92% (2/51) | 0% (0/44) |
2.10% (2/95) |
3 | N | C | L | L | N | T | R | T | A | A | 3.92% (2/51) | 2.27% (1/44) |
3.57% (3/95) |
4 | N | Y | L | L | N | S | R | T | A | A | 1.97% (1/51) | 9.10% (4/44) |
5.26% (5/95) |
5 | N | C | I | L | N | S | R | T | A | T | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
6 | N | C | L | L | N | S | R | T | S | A |
0% (0/51) |
2.27% (1/44) |
1.05% (1/95) |
7 | N | Y | L | L | N | S | R | T | S | A | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
8 | N | Y | L | F | N | T | S | S | A | A | 3.92% (2/51) | 0% (0/44) |
2.10% (2/95) |
9 | N | Y | I | L | N | T | R | T | A | A | 0% (0/51) | 6.82% (3/44) |
3.57% (3/95) |
10 | N | Y | L | L | I | T | R | T | A | A | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
11 | N | Y | L | L | I | S | R | T | A | A | 0% (0/51) | 6.82% (3/44) |
3.57% (3/95) |
12 | N | Y | L | L | I | S | R | S | S | A | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
13 | N | Y | L | L | N | T | R | S | S | A | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
14 | N | Y | L | L | N | T | R | T | A | T | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
15 | N | Y | L | L | N | T | S | T | A | A | 0% (0/51) | 2.27% (1/44) |
1.05% (1/95) |
16 | N | Y | L | L | N | T | R | T | A | A | 58.82% (30/51) | 56.82% (25/44) | 58.94% (55/95) |
Total | 51 | 44 | 100% (95) |
Accession number of reference sequence: LT594631.1
A topology model of PmMDR1 was constructed and compared to the models of PfMDR1 and PvMDR1 (Fig. 2). PmMDR1 contains two nucleotide-binding domains (NBD1 and NBD2), facing the cytoplasm. Ten PmMDR1 substitution residues were identified: N6I, Y7C, L490I, L1063F, N1248I, T1266S, R1361S, T1406S, A1460S, and A1460T. Among the 10 mutations, N6I, Y7C were located on the cytoplasmic side, L490I located in nucleotide binding domain 1, L1063F located in transmembrane domain 11, N1248I, T1266S, R1361S, T1406S, A1460S, and A1460T located in NBD2. Although the mutations observed in P. malariae were not corresponding to residues associated with drug resistance reported previously in P. falciparum, the residues located in TMD11 and NBD might have an effect on PmMDR1 function. For this, structural models for each haplotype carrying mutations in TMD11 and NBD were constructed and analysed. The structural models representing these haplotypes showed similar characteristics and the mutated residues were predicted to have only a moderate effect on the PmMDR1 structure (Fig. 3).
Predicted changes in the physicochemical properties of each mutation were also addressed. For the L1063F mutant found in TMD11, leucine and phenylalanine share similar physicochemical properties, from which it can be inferred that this mutation has limited effect on the protein three-dimensional structure and function. A similar approach was followed for the four-point mutation identified in NBD, including L490I in NBD1 and T1266S, R1361S and A1460T/S in NBD2. To predict whether these point mutations affect the NBD structure and potentially its function, a structural model was constructed and residues involved in interactions between NBD and ATP were identified. For this, the highest conserved protein PGP1 from human was used as a template. Structural analysis of PmMDR1 model indicated that 20 and 19 residues are involved in ATP1 and ATP2 binding, respectively. Residue L490I was located outside of the ATP binding sites in NBD1. Residue T1266S, R1361S and A1460T/S in NBD2, were also located outside of the ATP binding sites.
A total of 95 P. malariae isolates were assessed for pmmdr1 gene amplification. The pmmdr1 copy number in all samples ranged from 0.75 to 1.25 (Fig. 4), which represent a single copy of the pmmdr1 gene.
Discussion
In this study, the anti-malarial drug target genes, pmcrt and pmmdr1, were characterized in P. malariae samples collected from Thailand and Myanmar and were compared to the orthologous mutations in pfcrt and pfmdr1 because polymorphisms in P. falciparum are well characterized for their association with chloroquine and mefloquine resistance [14–16, 31]. Since chloroquine and mefloquine have been used widely in the treatment of vivax and falciparum malaria in Thailand and Myanmar, it can be assumed that the P. malariae parasite population in these countries has also been exposed to these drugs, given the frequent co-infection with other human Plasmodium species in patients with P. malariae infection.
Nine nucleotide polymorphisms were identified in 5 out of the 14 exons of the pmcrt gene, with 2 non-synonymous mutations found in exon 2 (H53P) and exon 8 (E278D), both were not corresponding to the orthologous mutations in P. falciparum involved in chloroquine resistance. In P. falciparum, the majority of polymorphisms in PfCRT lay on exon 2, and mutations in PfCRT positions 72, 74, 75, and 76 are the main contributors to chloroquine resistance [32, 33]. The in silico topology model of PmCRT revealed that H53P and E278D are located in cytoplasmic region and food vacuole, which are outside of the transmembrane domain, and are thus considered unlikely to affect PmCRT function. Genetic polymorphisms in the pmcrt gene in both Thailand and Myanmar samples were limited, similar to previous studies describing very limited polymorphisms in the pvcrt gene in P. vivax populations in Thailand [34].
The number of polymorphisms in this study was higher in the pmmdr1 gene. There were 13 SNPs, including 10 non-synonymous and 3 synonymous mutations, and none of these showed an equivalent position in pfmdr1 associated with anti-malarial drug resistance in P. falciparum. Some of the P. malariae studied here were mixed infections with other species, which might have an impact on polymorphisms of pmcrt and pmmdr1. There were 12 and 11 mixed infections found in the samples from Thailand and Myanmar, respectively. The patterns of nucleotide polymorphisms in pmcrt and pmmdr1 between single and mixed infections were compared. The proportion of mixed infected samples carrying mutations in Thailand and Myanmar was accounted for 14.29-22.72% (Additional file 4), suggesting that the mixed infections are unlikely to affect pmcrt and pmmdr1 mutations in this study.
The mutations in pmmdr1 codons L490I and L1063F correspond to the previously reported mutations in P. vivax at pvmdr1 codons L493L and F1076L [17, 35]. In P. vivax, these polymorphisms have not been clearly linked to chloroquine resistance [36, 37]. The observed polymorphisms in pmmdr1 were translated into a topology model of PmMDR1, showing that the mutations resulted in predicted protein changes located in the parasite cytoplasmic side of the protein, in nucleotide binding domains and one change in TMD11. In P. falciparum, residues in TMD11 were suggested as part of an anti-malarial binding pocket [38–40]. An in silico homology model of PmMDR1 was constructed and analysed to predict the effect of amino acid changes in TMD11 and NBD, which showed that the observed mutations were unlikely to affect the tertiary structure of the protein. Additionally, structural analysis of PmMDR1 polymorphisms found in NBD1 and NBD2 suggested that the mutations (L490I and L1063F) had only a moderate effect on the conformation of these domains, unlikely to affect the NBD function. Overall, the described polymorphisms were predicted to have insignificant impact on PmMDR1 protein morphology and function.
The samples used in this study were from Thailand and Myanmar collected at different periods of time, which may potentially affect the pattern of gene mutations [34]. The samples from Myanmar were collected in year 2009 in which artemether-lumefantrine was used as the first line treatment for uncomplicated malaria [41]. For Thailand, P. malariae were collected from two periods of time, year 2002–2008 and year 2012–2016. During those time periods, artesunate-mefloquine was used as the first-line treatment before it was changed to dihydroartemisinin-piperaquine in 2015 [41]. The pmcrt in Thailand showed more mutations (haplotypes 1-3, 81.48-91.67%) when compared to Myanmar (31.82%) (Additional file 5). There was no difference in mutation pattern of pmmdr1 in both countries (Additional file 5). Although H53P and E278D mutations found in PmCRT were predicted that they were unlikely to have an impact on PmCRT function, the high proportion of those point mutations in Thailand might refer to geographical characteristics of the parasites. This will need to be confirmed in a larger sample size collected from different areas.
In P. falciparum, amplification of the pfmdr1 gene is strongly associated with mefloquine resistance [14–16]. Despite the presumed long-term mefloquine drug pressure on the P. malariae parasite population in the study areas, none of P. malariae samples carried amplification of pmmdr1. Possible explanations include firstly, that pmmdr1 amplification is not involved in mefloquine resistance in P. malariae and thus is not a good marker, and that there might be an alternative mechanism conferring mefloquine resistance in P. malariae other than mdr1 amplification. Secondly, the parasite loads during infection of P. malariae is rarely exceed 1000 parasites per µl of blood. Thus, the number of parasites under selective pressure would be low for P. malariae and the likelihood of selecting resistant is lower. However, some of the potential drug resistance markers that have been studied in P. malariae might be under selective pressure such as pmdhfr [42, 43], pmdhps [44], and pmkelch [45]. Thirdly, although clinical P. malariae infection often presents as co-infection with other human Plasmodium species, there might be a large P. malariae reservoir outside of these patients with co-infection or a reservoir in non-human primates, so that overall P. malariae population has been limited to the selective pressure. The study of chloroquine-resistant P. vivax revealed that increased expression of pvcrt and pvmdr1 are associated with chloroquine resistance [46, 47]. Moreover, the gene copy number of pvcrt was significantly higher in chloroquine-resistant P. vivax [48]. In addition to this study, expression level of pmcrt and pmmdr1, and the copy number variation of pmcrt should be evaluated.
Conclusions
Polymorphisms in pmmdr1 were more frequently observed than in pmcrt. The non-synonymous mutations found in both pmcrt and pmmdr1 were unlikely to affect protein function. No amplification of pmmdr1 was observed in this study. If the orthologous resistance genes in P. malariae are indeed associated with anti-malarial drug resistance in this Plasmodium species, the findings suggest limited chloroquine and mefloquine drug pressure on the P. malariae populations in the study regions. Alternatively, anti-malarial drug resistance in P. malariae could differ from that described in P. falciparum and P. vivax, which will require further investigation.
Supplementary information
Acknowledgements
The authors would like to thank all staff involving in sample collection across all study sites in Myanmar and Thailand.
Abbreviations
- pmcrt
Plasmodium malariae chloroquine resistant transporter
- pfcrt
Plasmodium falciparum chloroquine resistant transporter
- pvcrt
Plasmodium vivax chloroquine resistant transporter
- pmmdr1
Plasmodium malariae multidrug resistance 1
- pfmdr1
Plasmodium falciparum multidrug resistance 1
- pvmdr1
Plasmodium vivax multidrug resistance 1
- SNPs
Single nucleotide polymorphisms
- TMD
Transmembrane domain
- NBD
Nucleotide binding domain
Authors’ contributions
YP, NS, AD, and MI contributed to study design. SP, FN, and FS collected samples. YP and NS carried out laboratory work. YP, NS, UB, ND, AD and MI analysed the data. YP, NS, UB, AD and MI drafted the manuscript. All authors read and approved the final manuscript.
Funding
This study was financed in part by Mahidol University, Thailand, and was part of the Wellcome Trust Mahidol University-Oxford Tropical Medicine Research Programme supported by the Wellcome Trust of Great Britain, and Thailand Science Research and Innovation (TSRI), RTA6280006. NS was supported by Research Fund 2017, Faculty of Tropical Medicine, Mahidol University.
Availability of data and materials
The nucleotide sequences of pmcrt and pmmdr1 genes obtained from this study have been submitted to GenBank database under the Accession Numbers; MN623294-MN623342 (for pmcrt) and MN645870-MN645902 (for pmmdr1).
Ethics approval and consent to participate
Ethical approval was obtained and reviewed by the Ethics Committee from Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand (MUTM 2018-013-01).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12936-020-03391-6.
References
- 1.Ansari HR, Templeton TJ, Subudhi AK, Ramaprasad A, Tang JX, Lu F, et al. Genome-scale comparison of expanded gene families in Plasmodium ovale wallikeri and Plasmodium ovale curtisi with Plasmodium malariae and with other Plasmodium species. Int J Parasitol. 2016;46:685–696. doi: 10.1016/j.ijpara.2016.05.009. [DOI] [PubMed] [Google Scholar]
- 2.Rutledge GG, Bohme U, Sanders M, Rrid AJ, Cotton JA, Maiga-Ascofare O, et al. Plasmodium malariae and P. ovale genomes provide insights into malaria parasite evolution. Nature. 2017;542:101–104. doi: 10.1038/nature21038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sutherland CJ. Persistent parasitism: the adaptive biology of malariae and ovale malaria. Trends Parasitol. 2016;32:808–819. doi: 10.1016/j.pt.2016.07.001. [DOI] [PubMed] [Google Scholar]
- 4.Tan-ariya PPS. First report of in vitro susceptibility of Plasmodium malariae Thai isolates to chloroquine. Southeast Asian J Trop Med Public Health. 1994;25:784–787. [PubMed] [Google Scholar]
- 5.Ringwald PBJ, Same-Ekobo A, Basco LK. Pyronaridine for treatment of Plasmodium ovale and Plasmodium malariae infections. Antimicrob Agents Chemother. 1997;41:2317–2319. doi: 10.1128/aac.41.10.2317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Borrmann S, Szlezak N, Binder RK, Missinou MA, Lell B, Kremsner PG. Evidence for the efficacy of artesunate in asymptomatic Plasmodium malariae infections. J Antimicrob Chemoth. 2002;50:751–754. doi: 10.1093/jac/dkf200. [DOI] [PubMed] [Google Scholar]
- 7.Maguire JD, Sumawinata IW, Masbar S, Laksana B, Prodjodipuro P, Susanti I, et al. Chloroquine-resistant Plasmodium malariae in south Sumatra Indonesia. Lancet. 2002;360:58–60. doi: 10.1016/S0140-6736(02)09336-4. [DOI] [PubMed] [Google Scholar]
- 8.Collins WE, Jeffery GM. Extended clearance time after treatment of infections with Plasmodium malariae may not be indicative of resistance to chloroquine. Am J Trop Med Hyg. 2002;67:406–410. doi: 10.4269/ajtmh.2002.67.406. [DOI] [PubMed] [Google Scholar]
- 9.Noisang C, Prosser C, Meyer W, Chemoh W, Ellis J, Sawangjaroen N, et al. Molecular detection of drug resistant malaria in Southern Thailand. Malar J. 2019;18:275. doi: 10.1186/s12936-019-2903-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Setthaudom C, Tan-ariya P, Sitthichot N, Khositnithikul R, Suwandittakul N, Leelayoova S, et al. Role of Plasmodium falciparum chloroquine resistance transporter and multidrug resistance 1 genes on in vitro chloroquine resistance in isolates of Plasmodium falciparum from Thailand. Am J Trop Med Hyg. 2011;85:606–611. doi: 10.4269/ajtmh.2011.11-0108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Li JY, Zhang J, Li Q, Hu Y, Ruan YH, Tao ZY, et al. Ex vivo susceptibilities of Plasmodium vivax isolates from the China-Myanmar border to antimalarial drugs and association with polymorphisms in Pvmdr1 and Pvcrt-o genes. PLoS Negl Trop Dis. 2020;14:e0008255. doi: 10.1371/journal.pntd.0008255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zhao Y, Liu ZL, Soe MT, Wang L, Soe TN, Wei HP, et al. Genetic variations associated with drug resistance markers in asymptomatic Plasmodium falciparum infections in Myanmar. Genes. 2019;10:692. doi: 10.3390/genes10090692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Packard RM. The origins of antimalarial-drug resistance. N Engl J Med. 2014;371:397–399. doi: 10.1056/NEJMp1403340. [DOI] [PubMed] [Google Scholar]
- 14.Cowman AFGD, Thompson JK. Selection for mefloquine resistance in Plasmodium falciparum is linked to amplification of the pfmdr1 gene and cross-resistance to halofantrine and quinine. Proc Natl Acad Sci USA. 1994;91:1143–1147. doi: 10.1073/pnas.91.3.1143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Preechapornkul P, Imwong M, Chotivanich K, Pongtavornpinyo W, Dondorp AM, Day NPJ, et al. Plasmodium falciparum pfmdr1 amplification, mefloquine resistance, and parasite fitness. Antimicrob Agents Chemother. 2009;53:1509–1515. doi: 10.1128/AAC.00241-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Price RN, Uhlemann AC, Brockman A, McGready R, Ashley E, Phaipun L, et al. Mefloquine resistance in Plasmodium falciparum and increased pfmdr1 gene copy number. Lancet. 2004;364:438–447. doi: 10.1016/S0140-6736(04)16767-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Imwong M, Pukrittayakamee S, Pongtavornpinyo W, Nakeesathit S, Nair S, Newton P, et al. Gene amplification of the multidrug resistance 1 gene of Plasmodium vivax isolates from Thailand, Laos, and Myanmar. Antimicrob Agents Chemother. 2008;52:2657–2659. doi: 10.1128/AAC.01459-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Suwanarusk R, Chavchich M, Russell B, Jaidee A, Chalfein F, Barends M, et al. Amplification of pvmdr1 associated with multidrug-resistant Plasmodium vivax. J Infect Dis. 2008;198:1558–1564. doi: 10.1086/592451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Snounou GPL, Gonçalves A, Fonseca L, Dias F, Brown KN, do Rosario VE. The importance of sensitive detection of malaria parasites in the human and insect hosts in epidemiological studies, as shown by the analysis of field samples from Guinea Bissau. Trans R Soc Trop Med Hyg. 1993;87:649–653. doi: 10.1016/0035-9203(93)90274-t. [DOI] [PubMed] [Google Scholar]
- 20.Snounou G, Singh B. Nested PCR analysis of Plasmodium parasites. Methods Mol Med. 2002;72:189–203. doi: 10.1385/1-59259-271-6:189. [DOI] [PubMed] [Google Scholar]
- 21.Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acids Symp Ser. 1999;41:95–98. [Google Scholar]
- 22.Rozas J, Ferrer-Mata A, Sanchez-DelBarrio JC, Guirao-Rico S, Librado P, Ramos-Onsins SE, et al. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol Biol Evol. 2017;34:3299–3302. doi: 10.1093/molbev/msx248. [DOI] [PubMed] [Google Scholar]
- 23.Kumar S, Stecher G, Tamura K. Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33:1870–1874. doi: 10.1093/molbev/msw054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJE. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc. 2015;10:845–858. doi: 10.1038/nprot.2015.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Waterhouse A, Bertoni M, Bienert S, Studer G, Tauriello G, Gumienny R, et al. SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res. 2018;46:W296-03. doi: 10.1093/nar/gky427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.McGuffin LJ, Bryson K, Jones DT. The PSIPRED protein structure prediction server. Bioinformatics. 2000;16:404–405. doi: 10.1093/bioinformatics/16.4.404. [DOI] [PubMed] [Google Scholar]
- 28.Ward JJ, McGuffin LJ, Bryson K, Buxton BF, Jones DT. The DISOPRED server for the prediction of protein disorder. Bioinformatics. 2004;20:2138–2139. doi: 10.1093/bioinformatics/bth195. [DOI] [PubMed] [Google Scholar]
- 29.Nugent T, Jones DT. Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm. PLoS Comput Biol. 2010;6:e1000714. doi: 10.1371/journal.pcbi.1000714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.BIOVIA. Discovery StudioVisualizer. 2017.
- 31.Happi CT, Gbotosho GO, Folarin OA, Bolaji OM, Sowunmi A, Kyle DE, et al. Association between mutations in Plasmodium falciparum chloroquine resistance transporter and P. falciparum multidrug resistance 1 genes and in vivo amodiaquine resistance in P. falciparum malaria-infected children in Nigeria. Am J Trop Med Hyg. 2006;75:155–161. [PubMed] [Google Scholar]
- 32.Fidock DA, Nomura T, Talley AK, Cooper RA, Dzekunov SM, Ferdig MT, et al. Mutations in the P. falciparum digestive vacuole transmembrane protein PfCRT and evidence for their role in chloroquine resistance. Mol Cell. 2000;6:861–871. doi: 10.1016/s1097-2765(05)00077-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wootton JC, Feng XR, Ferdig MT, Cooper RA, Mu JB, Baruch DI, et al. Genetic diversity and chloroquine selective sweeps in Plasmodium falciparum. Nature. 2002;418:320–323. doi: 10.1038/nature00813. [DOI] [PubMed] [Google Scholar]
- 34.Tantiamornkul K, Pumpaibool T, Piriyapongsa J, Culleton R, Lek-Uthai U. The prevalence of molecular markers of drug resistance in Plasmodium vivax from the border regions of Thailand in 2008 and 2014. Int J Parasitol Drugs Drug Resist. 2018;8:229–237. doi: 10.1016/j.ijpddr.2018.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kittichai V, Nguitragool W, Mbenda HGN, Sattabongkot J, Cui LW. Genetic diversity of the Plasmodium vivax multidrug resistance 1 gene in Thai parasite populations. Infect Genet Evol. 2018;64:168–177. doi: 10.1016/j.meegid.2018.06.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Nomura T, Carlton JMR, Baird JK, del Portillo HA, Fryauff DJ, Rathore D, et al. Evidence for different mechanisms of chloroquine resistance in 2 Plasmodium species that cause human malaria. J Infect Dis. 2001;183:1653–1661. doi: 10.1086/320707. [DOI] [PubMed] [Google Scholar]
- 37.Brega S, Meslin B, de Monbrison R, Severini C, Gradoni L, Udomsangpetch R, et al. Identification of the Plasmodium vivax mdr-like gene (pvmdr1) and analysis of single-nucleotide polymorphisms among isolates from different areas of endemicity. J Infect Dis. 2005;191:272–277. doi: 10.1086/426830. [DOI] [PubMed] [Google Scholar]
- 38.Ferreira PE, Holmgren G, Veiga MI, Uhlen P, Kaneko A, Gil JP. PfMDR1: Mechanisms of transport modulation by functional polymorphisms. PLoS ONE. 2011;6:e23875. doi: 10.1371/journal.pone.0023875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Lekostaj JK, Amoah LE, Roepe PD. A single S1034C mutation confers altered drug sensitivity to PfMDR1 ATPase activity that is characteristic of the 7G8 isoform. Mol Biochem Parasit. 2008;157:107–111. doi: 10.1016/j.molbiopara.2007.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Sidhu ABS, Valderramos SG, Fidock DA. pfmdr1 mutations contribute to quinine resistance and enhance mefloquine and artemisinin sensitivity in Plasmodium falciparum. Mol Microbiol. 2005;57:913–926. doi: 10.1111/j.1365-2958.2005.04729.x. [DOI] [PubMed] [Google Scholar]
- 41.WHO. World malaria report 2016. Geneva: World Health Organization; 2016.
- 42.Khim N, Kim S, Bouchier C, Tichit M, Ariey F, Fandeur T, et al. Reduced impact of pyrimethamine drug pressure on Plasmodium malariae dihydrofolate reductase gene. Antimicrob Agents Chemother. 2012;56:863–868. doi: 10.1128/AAC.05284-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Tanomsing N, Imwong M, Pukrittayakamee S, Chotivanich K, Looareesuwan S, Mayxay M, et al. Genetic analysis of the dihydrofolate reductase-thymidylate synthase gene from geographically diverse isolates of Plasmodium malariae. Antimicrob Agents Chemother. 2007;51:3523–3530. doi: 10.1128/AAC.00234-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Tanomsing N, Mayxay M, Newton PN, Nosten F, Dolecek C, Hien TT, et al. Genetic Variability of Plasmodium malariae dihydropteroate synthase (dhps) in Four Asian Countries. PLoS ONE. 2014;9:e93942. doi: 10.1371/journal.pone.0093942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Nakeesathit S, Saralamba N, Pukrittayakamee S, Dondorp A, Nosten F, White NJ, et al. Limited polymorphism of the kelch propeller domain in Plasmodium malariae and P. ovale isolates from Thailand. Antimicrob Agents Chemother. 2016;60:4055–4062. doi: 10.1128/AAC.00138-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Fernandez-Becerra C, Pinazo MJ, Gonzalez A, Alonso PL, del Portillo HA, Gascon J. Increased expression levels of the pvcrt-o and pvmdr1 genes in a patient with severe Plasmodium vivax malaria. Malar J. 2009;8:55. doi: 10.1186/1475-2875-8-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Melo GC, Monteiro WM, Siqueira AM, Silva SR, Magalhaes BML, Alencar ACC, et al. Expression levels of pvcrt-o and pvmdr-1 are associated with chloroquine resistance and severe Plasmodium vivax malaria in patients of the Brazilian Amazon. PLoS ONE. 2014;9:e105922. doi: 10.1371/journal.pone.0105922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Silva SR, Almeida ACG, da Silva GAV, Ramasawmy R, Lopes SCP, Siqueira AM, et al. Chloroquine resistance is associated to multi-copy pvcrt-o gene in Plasmodium vivax malaria in the Brazilian Amazon. Malar J. 2018;17:267. doi: 10.1186/s12936-018-2411-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The nucleotide sequences of pmcrt and pmmdr1 genes obtained from this study have been submitted to GenBank database under the Accession Numbers; MN623294-MN623342 (for pmcrt) and MN645870-MN645902 (for pmmdr1).