Plasmodium knowlesi, a malaria parasite originally thought to be restricted to macaques in Southeast Asia, has recently been recognized as a significant cause of human malaria. Unlike the benign and morphologically similar P. malariae, these parasites can lead to fatal infections. Malaria parasites, including P. knowlesi, have not yet been detected in macaques of the Kapit Division of Malaysian Borneo, where the majority of human knowlesi malaria cases have been reported. In order to extend our understanding of the epidemiology and evolutionary history of P. knowlesi, we examined 108 wild macaques for malaria parasites and sequenced the circumsporozoite protein (csp) gene and mitochondrial (mt) DNA of P. knowlesi isolates derived from macaques and humans. We detected five species of Plasmodium (P. knowlesi, P. inui, P. cynomolgi, P. fieldi and P. coatneyi) in the long-tailed and pig-tailed macaques, and an extremely high prevalence of P. inui and P. knowlesi. Macaques had a higher number of P. knowlesi genotypes per infection than humans, and some diverse alleles of the P. knowlesi csp gene and certain mtDNA haplotypes were shared between both hosts. Analyses of DNA sequence data indicate that there are no mtDNA lineages associated exclusively with either host. Furthermore, our analyses of the mtDNA data reveal that P. knowlesi is derived from an ancestral parasite population that existed prior to human settlement in Southeast Asia, and underwent significant population expansion approximately 30,000–40,000 years ago. Our results indicate that human infections with P. knowlesi are not newly emergent in Southeast Asia and that knowlesi malaria is primarily a zoonosis with wild macaques as the reservoir hosts. However, ongoing ecological changes resulting from deforestation, with an associated increase in the human population, could enable this pathogenic species of Plasmodium to switch to humans as the preferred host.
We recently described the first focus of human infections with P. knowlesi, a malaria parasite of monkeys, and subsequently reported that these infections can be fatal. Whether mosquito transmission of infection depended on the monkey reservoir or was maintained by the human population was unknown. In the area of highest human infection incidence (within the Kapit Division of Sarawak, Malaysian Borneo), we surveyed 108 wild monkeys and found most were infected with malaria parasites, including P. knowlesi. We observed that the number of P. knowlesi genotypes per infection was much higher in monkeys than humans, some genotypes were shared between the two hosts and no major types were associated exclusively with either host. Evolutionary analyses of sequence data indicate that P. knowlesi existed in monkeys prior to human settlement in Southeast Asia and underwent a recent population expansion. Thus, P. knowlesi is essentially zoonotic; humans being infected with these parasites from the original and reservoir monkey hosts probably since they first entered the forests of Southeast Asia. We consider that the current increase in the human population, coupled with ecological changes due to deforestation, could result in a switch to humans as the preferred host for this pathogenic Plasmodium species.
Citation: Lee K-S, Divis PCS, Zakaria SK, Matusop A, Julin RA, et al. (2011) Plasmodium knowlesi: Reservoir Hosts and Tracking the Emergence in Humans and Macaques. PLoS Pathog 7(4): e1002015. doi:10.1371/journal.ppat.1002015
Editor: James W. Kazura, Case Western Reserve University, United States of America
Received: September 27, 2010; Accepted: February 8, 2011; Published: April 7, 2011
Copyright: © 2011 Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This research was supported by grants from the Wellcome Trust (grant number: 078538/Z/05/Z) (URL: http://www.wellcome.ac.uk/), the Malaysian Ministry of Science, Technolgy and Innovation (URL: http://ernd.mosti.gov.my/escience/) and Universiti Malaysia Sarawak (URL: http://www.unimas.my/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Until recently, it was believed that malaria in humans was caused by only four species of parasite (Plasmodium falciparum, P. vivax, P. malariae and P. ovale). However, this perception changed when we discovered a large focus of human infections with P. knowlesi in the Kapit Division of Sarawak, Malaysian Borneo . These infections had predominantly been mistakenly identified as P. malariae by microscopy, since both species have similar morphological characteristics , . With subsequent reports of human infections in other parts of Malaysia , , and in Thailand , , Myanmar , Singapore , , the Philippines , Vietnam  and Indonesia , , P. knowlesi is now recognized as the fifth species of Plasmodium responsible for human malaria. It causes a wide spectrum of disease and can lead to high parasite counts, severe complications and death , . In a recent study, we found that approximately 1 in 10 knowlesi malaria patients at Kapit Hospital developed potentially fatal complications, comparable to P. falciparum malaria, which is considered to be the most virulent type of malaria in humans .
P. knowlesi is primarily a simian malaria parasite and was first isolated from a long- tailed macaque (Macaca fascicularis) imported to India from Singapore in 1931 . Subsequently, P. knowlesi has been detected in wild long-tailed macaques of Peninsular Malaysia ,  and the Philippines , in pig-tailed macaques (M. nemestrina) of Peninsular Malaysia  and in banded leaf monkeys (Presbytis melalophus) in Peninsular Malaysia . There has been no documented evidence of P. knowlesi or any other malaria parasites in monkeys in Malaysian Borneo, and although a monkey source for the hundreds of human P. knowlesi infections that have been described in the Kapit Division of Sarawak , ,  appeared likely, it remained to be proven.
Prior to our report in 2004 of the large focus of human infections in Sarawak, Malaysian Borneo, when we utilized molecular methods for characterisation and PCR assays for detection of P. knowlesi , there had been only one confirmed case of a naturally-acquired P. knowlesi infection in a human . That person got infected with P. knowlesi while spending a few weeks in the forest of Pahang, Peninsular Malaysia in 1965. It is not known whether the large focus in Malaysian Borneo and subsequent recent reports of human knowlesi malaria in Southeast Asia represent a truly newly emergent malaria parasite in humans or whether human infections have been occurring for a relatively long period, but have gone undetected due to unavailability of molecular detection methods to distinguish between P. knowlesi and P. malariae. In order to identify the reservoir hosts and extend our understanding of the epidemiology and evolutionary history of P. knowlesi, we examined blood samples from wild macaques for malaria parasites, and analyzed the circumsporozoite protein (csp) gene and the mitochondrial (mt) genome of P. knowlesi isolates derived from humans and macaques.
Nested PCR examination of blood samples from 108 wild macaques (82 long-tailed, 26 pig-tailed), sampled from 17 different locations in the Kapit Division of Sarawak, showed that 101 (94%) of the macaques were infected with malaria parasites. Long-tailed macaques had a higher prevalence of infection (98%) than pig-tailed macaques (81%) (Fisher's Exact P = 0.009) (Table 1). By nested PCR assays, we detected 5 species of Plasmodium, with P. inui being the most common (prevalence of 82%), followed by P. knowlesi (78%), P. coatneyi (66%), P. cynomolgi (56%), and P. fieldi (4%). Multiple species infections were very common, with 91 of the 108 (84%) macaques being infected by two or more species of Plasmodium each. There was a higher prevalence of P. knowlesi among long-tailed macaques (87%) than pig-tailed macaques (50%) (P = 0.006).
To compare the molecular identity of the parasites in macaques and humans, we first sequenced the P. knowlesi csp gene in blood samples from 31 patients admitted to Kapit Hospital and 16 wild macaques. Most macaques (10 of 16), but only a minority of humans (3 of 31) contained 2 or more csp alleles (Fig. 1A). Overall, we derived 48 csp allele sequences of P. knowlesi from the macaques and 34 from the human samples, with 61 different alleles observed in total. Three of these csp alleles were shared between human and macaques, three were shared by macaques, and the remaining alleles were detected in only macaques or humans (Fig. S1 and Fig. 1B). We found that the central region of the P. knowlesi csp was composed of highly polymorphic repeat sequences (Table S1). Analysis of the aligned non-repeat regions of csp showed 19 polymorphic sites, of which 14 were shared polymorphisms in samples from both host populations (Fig. S2). The nucleotide diversity of csp was similar in both hosts (π = 2.2×10−2 in humans and 2.4×10−2 in macaques), although the haplotype diversity was marginally higher in macaques (H = 0.82, SD = 0.03) than in humans (H = 0.73, SD = 0.06). There was no clustering of csp allele sequence type associated with either host (Fig. 1B).
(A) Histogram showing proportion of human and macaque individuals with different numbers of full length csp alleles detected per infection. (B) Diversity of csp alleles in the P. knowlesi clade of the phylogenetic tree of Plasmodium spp. (Fig. S1), based on the non-repeat region of the gene. These intraspecific relationships clustered by the neighbor-joining method on a Kimura 2-parameter distance matrix represent observed pairwise sequence similarity (phylogeny cannot be determined within the species for a nuclear gene due to recombination). Figures on the branches are bootstrap percentages based on 1,000 replicates and only those above 70% are shown. The horizontal branch lengths indicate nucleotide differences per site compared with the scale bar. Parasite clones in the boxes represent sequences that are completely identical for the whole csp gene (including repeat sequences not analysed by alignment but given separately in Supplementary Table S1).
We also sequenced the ~6-kilobase mtDNA genome of P. knowlesi parasites isolated from 25 malaria patients and 11 macaques. Each human sample had a single mtDNA haplotype, while all except one macaque sample contained multiple (2 to 6) haplotypes (Fig. 2A). In total, we generated 54 complete mtDNA genome sequences, representing 37 different mtDNA haplotypes, with a higher number of haplotypes in the macaques (23 haplotypes from 11 samples) than in the humans (17 haplotypes from 25 samples). Six of the haplotypes were found in more than 1 sample, and 3 of these were shared between the human and macaque hosts (Fig. 2B). Forty-five single nucleotide polymorphisms (SNPs) and a 4-base insertion/deletion within the P. knowlesi mtDNA genome were identified (Fig. S3), and the level of nucleotide diversity (π) of mtDNA was estimated as 7.5±0.7×10−4.
(A) Histogram showing proportion of human and macaque individuals with different numbers of mtDNA haplotypes detected per infection. (B) Schematic diagram of genealogical network showing relationship among 37 mtDNA haplotypes of P. knowlesi. Numbers in larger circles represent number of haplotypes and unnumbered circles represent a single haplotype. Each line connecting the circles represents a mutational step and black dots represent hypothetical missing intermediates.
The Bayesian coalescent approach  was used to estimate the time to the most recent common ancestor (TMRCA) for P. knowlesi. A nucleotide substitution rate for the mtDNA genome of 3.13×10−9 (95% HPD, 1.94–4.45×10−9) substitutions per site per year was estimated by comparing mtDNA sequences of P. knowlesi, P. fragile, P. cynomolgi, P. simiovale (parasites of Asian macaques) with P. gonderi (a parasite of African mangabeys) and Plasmodium sp. (Mandrill), assuming parasite lineages separated when Asian Old World monkeys and African Old World monkeys diverged 10 million years ago (MYA) . This derived rate yielded an estimate of 257,000 (95% HPD: 98,000–478,000) years before present as the TMRCA of P. knowlesi (Fig. 3).
Phylogenetic tree scaled to time generated using uncorrelated relaxed clock model and Bayesian skyline coalescent tree prior, with the divergence of Plasmodium spp. of Asian macaques and P. gonderi/Plasmodium sp. (Mandrill) as the calibration point (black circle). TMRCAs and HPDs for P. knowlesi and Plasmodium of Asian macaques are indicated. Numbers on branches are values of posterior probabilities. The accession numbers of sequence data of P. knowlesi were deposited in GenBank under the accession numbers EU880446–EU880499 and accession numbers of the other sequences are provided in the Methods section.
There was no evidence of recombination in the mtDNA of P. knowlesi (Table S2), and reconstruction of the haplotype genealogical network demonstrated that no distinct lineages of mtDNA were exclusively associated with either human or macaque hosts (Fig. 2B). Our phylogeny-trait association tests based on association index (AI)  and parsimony score (PS)  of host-parasite phylogenetic substructure do not reject the null hypothesis of no association between parasite and host (Table S3). Hence, this further indicates the absence of a distinct lineage of P. knowlesi parasites associated with either human or macaque hosts.
We observed an excess of unique mtDNA haplotypes, which appear at the edges of a star-like structure of the haplotype genealogical network (Fig. 2B), and this is indicative of an evolutionarily recent population expansion of P. knowlesi. The signature of population expansion is also evident from the unimodal shape of the pairwise mismatch distribution (Fig. 4A), and this is supported by a low Harpending's raggedness index (r = 0.009, P = 0.87) . In addition we used the Tajima's D , Fu and Li's D and F (with out-group)  and Fay and Wu's H  statistics to detect deviation from the model of neutral evolution considering that the deviation from neutrality could be due to demographic processes such as population expansion, population bottleneck or mutation rate heterogeneity . We obtained significant negative values for all these statistics (Tajima's D = −1.88, P = 0.001; Fu and Li's D = −2.60, P = 0.02; Fu and Li's F = −2.80, P = 0.009; Fay and Wu's H = −10.33, P = 0.044), thereby providing further evidence for an expansion of the P. knowlesi parasite population.
(A) Pairwise mismatch distribution of the P. knowlesi mt genome. The bars represent observed frequency of the pairwise differences among mtDNA sequences and the line represents the expected curve for a population that has undergone a demographic expansion. (B) Bayesian skyline plot showing changes in effective population size (Ne) through time as estimated using uncorrelated log-normal relaxed molecular clock and Bayesian skyline coalescent model (10 coalescent-interval groups) with the substitution rate of 3.13×10−9 substitutions per site per year. The y-axis representing the effective population size is given on a logarithmic scale and the x-axis represents time in thousands of years ago. The thick solid black line is the median estimate and the blue shaded area represents the 95% highest probability density (HPD) intervals for effective population size.
To further investigate the demographic history of P. knowlesi, we estimated the changes in effective population size of the parasite through time, using a coalescent approach called the Bayesian skyline plot . The plot indicates that P. knowlesi underwent a rapid population growth between approximately 30,000 and 40,000 years before present (Fig. 4B). In addition, we performed independent analyses for P. knowlesi mtDNA sequences derived from humans and macaques. Similar trends were reflected in the Bayesian skyline plots for each host (Fig. S4), showing that there are no differences between the demographic history of P. knowlesi for either host.
We analysed mtDNA cytochrome b sequence data for long-tailed macaques in Southeast Asia using a similar approach, but did not find any evidence for changes in population size between 100,000 and 10,000 years before present (Fig. S5).
Our study shows that wild macaques in the Kapit Division of Sarawak, Malaysian Borneo are infected with the same 5 species of Plasmodium found in macaques of Peninsular Malaysia , , and that these macaques have a very high prevalence of P. knowlesi and P. inui. In previous studies, we found that P. knowlesi is the most common cause of hospital admission for malaria in the Kapit Division and there are approximately 90 knowlesi malaria admissions, predominantly adults, at Kapit Hospital per year , , . The actual annual incidence of knowlesi malaria for the Kapit Division is probably higher, because not all persons with P. knowlesi infections may have sought treatment in hospital and there may be asymptomatic infections and misdiagnoses. Nevertheless, the restricted number of knowlesi malaria cases in the human population of 109,000 , contrasts with the extremely high prevalence of P. knowlesi we detected in the wild macaques of the Kapit Division. These findings contrast with the absence of P. knowlesi infections in a survey of 99 long-tailed macaques in one region in Thailand . In that study, the majority of macaques were trapped near a temple in a region where very few human knowlesi malaria cases have been reported , and the absence of detectable P. knowlesi there could be due to the low abundance of mosquitoes of the Anopheles leucosphyrus group, which have been shown to be the most competent vectors of knowlesi malaria . We previously identified one member of this group, Anopheles latens, as the vector for P. knowlesi in the Kapit Division . This mosquito feeds outdoors after dusk and is attracted to humans and macaques at ground level, but prefers to feed on macaques at a higher elevation . Our findings here, of the higher number of P. knowlesi csp alleles and mtDNA genome haplotypes detected per infection in macaques compared with humans, and the very high prevalence of P. knowlesi in macaques, suggest that presently there is a greater intensity of transmission of P. knowlesi by the vectors among wild macaques, than from macaques to humans. These results, including our observation that certain alleles of the P. knowlesi csp gene and mtDNA genome haplotypes are shared between macaque and human hosts, taken together with previous epidemiological , ,  and entomological data , , strongly indicate that knowlesi malaria is a zoonosis in the Kapit Division and that wild macaques are the reservoir hosts.
Our estimated TMRCA for P. knowlesi (98,000–478,000 years ago) indicates that P. knowlesi is derived from an ancestral parasite population that predates human settlement in Southeast Asia , . Therefore macaques, which colonized Asia more than 5 million years ago , were the most likely hosts during the initial emergence of P. knowlesi in this region. Our estimate also indicates that P. knowlesi is as old as, or older than the 2 most common human malaria parasites, P. falciparum and P. vivax, for which the TMRCA has been estimated to be 50,000–330,000 ,  years and 53,000–265,000 years , , respectively.
Our analyses of the mtDNA data indicate that that P. knowlesi underwent a period of population expansion, estimated at 30,000–40,000 years ago, which coincides with a time when Borneo was part of mainland Southeast Asia  and the possibility of increased parasite admixture between macaque troops. This period is concordant with a time of exceptional human population growth in Southeast Asia, based on mtDNA sequence analysis . We did not detect a similar population expansion of macaques, but this analysis was based on the cytochrome b gene alone. It would be preferable to analyze mtDNA sequences of macaques sampled in Borneo to determine whether they underwent a parallel historical population expansion. It is possible that the population expansion of P. knowlesi was not directly linked to expansion in any primate host, but was rather due to the expansion or adaptation of the mosquito vectors.
In conclusion, our results indicate that P. knowlesi in Sarawak is zoonotic, with humans sharing parasites with the original and preferred hosts, the macaques, most likely since they first came into close contact in the forests of Southeast Asia. A multi-gene family (KIR) in P. knowlesi encodes proteins with sequence motifs mimicking host cell receptor CD99 in macaques , and the observation that the KIR motifs are less perfectly matched to the human CD99 sequence also supports the hypothesis that the parasite is particularly adapted to macaque hosts. Humans acquire knowlesi malaria on occasions when they enter the habitats shared by macaques and mosquitoes of the Anopheles leucosphyrus group , , , , which are forest-dwelling mosquitoes that feed outdoors after dusk , . There is no evidence yet to suggest a host-switch by P. knowlesi, unlike other human malaria parasites such as P. vivax and P. falciparum that might have been part of ancient zoonoses , , but have since adapted to humans. However, it is possible that the current destruction of the natural forest ecosystem, with associated increase of the human population, may alter the parasite, macaque host and mosquito population dynamics and lead to an adaptive host-switch of P. knowlesi to humans.
Materials and Methods
Currently, Malaysia has no legislation governing the use of animals in research. Nevertheless, this study was carried out in strict accordance with the recommendations by the Sarawak Forestry Department for the capture, use and release of wild macaques. A veterinarian took blood samples from macaques following anesthesia by intramuscular injection of tiletamine and zolazepam. All efforts were made to minimize suffering by collecting blood from macaques at the trap sites and releasing the animals immediately after the blood samples had been obtained. The Sarawak Forestry Department approved the study protocol for capture, collection of blood samples and release of wild macaques (Permits Numbers: NPW.907.4.2-32, NPW.907.4.2-97, NPW.907.4.2-98, 57/2006 and 70/2007). A permit to access and collect macaque blood samples for the purpose of research was also obtained from the Sarawak Biodiversity Centre (Permit Number: SBC-RP-0081-BS). Human blood samples were taken after written informed consent had been obtained from patients admitted to Kapit Hospital. This study was approved by the Medical Research and Ethics Committee of the Malaysian Ministry of Health (Reference number: KKM/JEPP/02 Jld.2 ), which operates in accordance to the International Conference of Harmonization Good Clinical Practice Guidelines.
Samples from macaques and humans
A total of 108 macaques were sampled from 2004 to 2008. Ninety were from 5 major sites and the remainder from 12 different locations in the Kapit Division of Sarawak. All locations were within 2 km from longhouse communities where human knowlesi cases had previously been reported. After blood was obtained from anaesthetised animals, they were tagged with a microchip (to prevent re-sampling) and released. Human blood samples were obtained from 31 patients with knowlesi malaria admitted to Kapit Hospital between 2000 and 2006.
Nested PCR assays
DNA was extracted from macaque and human blood samples as described previously . DNA samples from macaques were examined using nested PCR assays with genus and species-specific primers based on the small subunit ribosomal RNA genes . PCR primer sequences (for P. knowlesi, P. coatneyi, P. cynomolgi, P. fieldi and P. inui) and annealing temperatures are provided in Table S4.
Sequencing of csp and mtDNA
We amplified and sequenced the complete P. knowlesi csp gene and performed sequence analysis as described previously . At least two clones from each of the two PCR amplifications per sample were sequenced and for macaque samples, at times 5 PCR amplifications and cloning procedures were necessary before P. knowlesi sequences could be obtained. For amplification of the P. knowlesi mtDNA, two back-to-back primers were designed (Pkmt-F1, 5′- GGACTTCCTGACGTTTAATAACGAT-3′ and Pkmt-R1, 5′-TGGACGTTGAATCCAATAGCGTA-3′) by using previously described mtDNA sequence of P. knowlesi . PCR amplification was performed separately for each sample to prevent cross-contamination of DNA using the Elongase Amplification System (Invitrogen). The PCR product for each isolate was gel purified, cloned into pCR-XL-TOPO vector (Invitrogen) and sequenced using BigDye Terminator Cycle Sequencing kit (Applied Biosystems) with 28 internal primers (sequences in Table S5) that enabled sequencing of both DNA strands.
The diversity of P. knowlesi mtDNA from 6 human samples was initially characterized. These were selected based on the criteria that each patient originated from a different geographical area of Kapit Division and patients had no records of recent travel history. Only females were chosen assuming that females travel less than the males. Sequencing data was obtained from at least 2 clones originating from separate PCR amplifications. Both DNA strands were sequenced from each clone and any nucleotide conflicts found were resolved following a third PCR amplification, cloning and sequencing.
The remaining 19 human samples were randomly chosen from patients admitted between 2000 and 2006. Following PCR amplification and cloning, these samples were haplotyped by sequencing single DNA strand of the mt genome and at least 2 plasmid clones were sequenced for each sample. Any single nucleotide polymorphisms (SNPs) or singleton polymorphisms detected were verified by sequencing the polymorphic regions in at least 2 plasmid clones originating from separate PCR amplifications, and both DNA strands were sequenced.
Sequence analysis of mtDNA of P. knowlesi
The mt genome was selected to examine the evolutionary history of P. knowlesi, just as the mt genomes of P. vivax  and P. falciparum  were previously found suitable; it does not undergo recombination so intraspecific phylogenetic analysis can be performed and it shows no evidence of non-neutral polymorphism.
DNA sequence data were aligned using the Lasergene package (DNASTAR). Measures of genetic diversity were conducted using DnaSP v5.10.00 software . A minimum spanning network connecting the mtDNA haplotypes of P. knowlesi based on statistical parsimony method was constructed using the TCS 1.21 software .
Host-parasite association was assessed based on the association index (AI)  and parsimony score (PS) statistics , which account for phylogenetic uncertainty in analysis of phylogeny-trait correlations. The values of AI and PS statistics were calculated based on the posterior samples of trees produced by BEAST using the BaTS program ,. The null distribution for each statistic was estimated with 1,000 replicates of state randomization.
The demographic expansion of P. knowlesi was examined based on pairwise mismatch distribution using Arlequin v3.1 software . Observed mismatch distribution was compared with that estimated under the sudden demographic expansion model using a generalized least-square approach . The deviations from the population expansion model were tested using the Harpending's raggedness index  with a parametric bootstrap of 1000 replicates. Tajima's D , Fu and Li's D , Fu and Li's F  and Fay and Wu's H  statistics were performed using the software DnaSP v5.10.00 . These statistics were calculated using the mitochondrial genome of P. coatneyi (AB354575) as out-group.
The evolutionary rate, time to the most recent common ancestor (TMRCA) and the past population dynamics of P. knowlesi were inferred using the Bayesian Markov Chain Monte Carlo (MCMC) method implemented in the BEAST package v1.5.4 . The mean substitution rate of mtDNA and TMRCA of P. knowlesi were estimated based on a time-calibrated Bayesian phylogenetic analysis of non-human primate malarias (P. gonderi, Plasmodium sp. (Mandrill), P. simiovale, P. fragile, P. cynomolgi and P. knowlesi) and human malarias (P. falciparum, P. vivax, P. malariae and P. ovale) (Table S6) (Figure 3), assuming co-divergence of the parasites with their host lineages , Asian Old World monkeys - African Old World monkeys at 10 MYA . The accession numbers of sequences derived from GenBank database are as follows; P. falciparum (M99416), P. malariae (AB354570), P. vivax (NC007243), P. ovale (AB354571), P. gonderi (AB434918), Plasmodium sp. (mandrill) (AY800112), P. simiovale (AB434920), P. inui (AB354572), P. hylobati (AB354573), P. cynomolgi (AB434919), P. simium (AY800110), P. fragile (AY722799) and P. coatneyi (AB354575). A General Time Reversible (GTR) substitution model with gamma distribution of rate variation among sites and a proportion of invariable sites as determined using Modeltest v3.7 , an uncorrelated log-normal relaxed molecular clock model and a Bayesian skyline coalescent model (10 coalescent-interval groups) were used for this analysis. One hundred million generations of the MCMC chains were run with sampling every 10,000 generations and the first 10 million generations were discarded as burn-in. The BEAST output was analyzed using the Tracer v1.5 program (available at http://tree.bio.ed.ac.uk/software/tracer/) and uncertainty in parameter estimates was expressed as values of the 95% highest probability density (HPD). The trees produced by BEAST were annotated using TreeAnnotator, and maximum clade credibility tree was visualized using the FigTree v1.3.1 program (available at http://tree.bio.ed.ac.uk/software/figtree/).
Past population dynamics of P. knowlesi parasites in terms of the change in effective population size (Ne) through time were independently analyzed using the P. knowlesi mtDNA datasets for humans and macaque, and also by combining both human and macaque P. knowlesi mtDNA datasets. Using the estimated mean substitution rate and Bayesian skyline coalescent model, the MCMC chains were run for 100 million generations with sampling every 10,000 generations and the first 10 million generations were discarded as burn-in.
The changes in effective population size (Ne) through time were also drawn for M. fascicularis and M. nemestrina based on the cytochrome b sequences obtained from GenBank (Table S7). A BEAST analysis to determine the mean rate substitution of the cytochrome b (cytb) gene of macaques was performed using cytb sequences of M. fascicularis, M. nemestrina and Papio anubis (GenBank accession EU885461), and assuming baboons and macaques diverged 6.6 MYA . An estimated mean substitution rate of 4.56×10−8 substitutions per site per year was used to infer the Bayesian skyline plot for M. fascicularis and M. nemestrina. For each species, 100 millions generations were performed, with sampling every 10,000 generations and 10 percent of the sampling were discard as burn-in.
For all analyses implemented in BEAST, at least 2 independent runs were performed and convergence of all parameters was determined based on Effective Sample Size (ESS) values of >200.
GenBank accession numbers
The sequences generated during this study have been deposited in GenBank: P. knowlesi mitochondrial genome sequence data under the accession numbers EU880446–EU880499 and P. knowlesi csp gene sequences under the accession numbers AY327558–AY327572, DQ350272–DQ350306, DQ641526–DQ641528 and GU002471–GU002533.
Phylogenetic tree of Plasmodium species based on the non-repeat regions of the csp genes produced by the neighbor-joining method. Clones derived from macaques have the prefixes LT (long-tailed) or PT (pig-tailed) while those from humans have prefixes KH or CDK. Figures on the branches are bootstrap percentages based on 1,000 replicates and only those above 70% are shown. The horizontal branch length indicates nucleotide substitutions per site computed using the Kimura 2-parameter method. Parasite clones that are underlined represent DNA sequences that are completely identical for the whole csp gene. GenBank accession numbers are in brackets and for the sequences with prefixes LT, PTK and CDK that were generated for this study, GenBank accession numbers are provided in Table S1.
Polymorphic sites in the non-repeat regions of P. knowlesi csp genes. Clones derived from macaques have prefixes LT or PT while those from humans have prefixes KH or CDK. Clones that are underlined indicate DNA sequences that are completely identical for the whole csp gene.
Polymorphisms within the 37 mitochondrial haplotypes of P. knowlesi from Kapit Division. Sequences derived from different hosts are indicated as: KH (human), LT (long-tailed macaque) and PT (pig-tailed macaque). Positions of polymorphic sites are numbered vertically on top. Region of gene encoding the cytochrome oxidase subunit I (cox I), cytochrome oxidae subunit III (cox III) and cytochrome b (cyt b) are indicated above the nucleotide positions. Dots represent identical nucleotide residues and dashes represent deletions. Sequence data were deposited in the GenBank database under the accession numbers EU880446–EU880499.
Bayesian skyline plots showing the past population growth through time for P. knowlesi isolates derived from humans and macaques. The effective population size (y-axis) is given on a logarithmic scale and time (x-axis) in thousands of years ago. The thick solid black line is the median estimate and the blue shaded area represents the 95% highest probability density (HPD) intervals for effective population size. Both Bayesian skyline plots were estimated using the same model applied to the plots in Figure 4.
Bayesian skyline plots showing the past population growth through time for (A) Macaca fascicularis and (B) Macaca nemestrina. The effective population size (y-axis) is given on a logarithmic scale. The thick solid black line is the median estimate and the blue shaded area represents the 95% highest probability density (HPD) for effective population size. Note that the effective population size for both hosts declined between 100,000 to 10,000 years before present.
Comparison of the repeat motifs of the csp genes for P. knowlesi isolates derived from human and macaque samples. Each of the different motifs is represented by italicized letters. Clones derived from macaques have prefixes LT (long-tailed) or PT (pig-tailed) while those from humans have prefixes KH or CDK.
Tests for recombination of the mitochondrial genome of P. knowlesi. (A) “inner fragments” and “outer fragments”, which are evidence of possible gene conversion events resulting from recombination were identified based on comparison between all pairs of sequences in the alignment. P-values were calculated by comparing the observed maximum fragment score to the maximum fragment score from permuted data set (10,000 permutations). (B) Correlation between linkage disequilibrium, LD measured as r2 and physical distance (d), and correlation between LD measured as |D′| and physical distance (d) were measured based on 1,000 permutations of segregating sites. These null distributions were compared to values observed in unpermuted data and P-values were expressed as proportion of correlation between LD (r2 or |D′|) and physical distance that are greater than the observed values.
Phylogeny-trait association test of P. knowlesi–host clustering based on analysis of P. knowlesi mitochondrial DNA haplotypes. Statistics of clustering strength based on Parsimony Score (PS), Association Index (AI) and monophyletic clade (MC) size were computed using BaTS (Bayesian tip-association significance testing) (Parker J, Rambaut A, Pybus OG (2008) Correlating viral phenotypes with phylogeny: accounting for phylogenetic uncertainty. Infect Genet Evol 8: 239–246.). All plausible trees (10% burn in) generated by BEAST analysis were examined and 1,000 replicates of state randomization were performed. *HPD CIs = highest posterior density confidence intervals. ** Significant at p<0.01.
Sequences and annealing temperatures of species-specific PCR primers used in nested PCR assays. The genus-specific primers, rPLU1 and rPLU5, were used in the primary (nest 1) amplification followed by the species-specific primers in the nest 2 amplifications as described previously (Singh B, Sung LK, Matusop A, Radhakrishnan A, Shamsul SSG, et al. (2004) A large focus of naturally acquired Plasmodium knowlesi infections in human beings. Lancet 363: 1017–1024.). The primers are based on the sequences of the small subunit ribosomal RNA genes.
Sequences of internal PCR primers used for sequencing mitochondrial DNA of P. knowlesi.
Mitochondrial DNA sequences of simian malaria parasites used in the estimation of nucleotide substitution rate.
Sequences of cytochrome b gene used in the analysis of past population size dynamics of M. fascicularis and M. nemestrina.
We thank Lau Tiek Ying for developing a method for amplifying and cloning full-length Plasmodium mtDNA; Cyrus Daneshvar, inhabitants of the Kapit Division, staff of the Kapit Malaria Control team and Kapit Hospital for assistance in obtaining blood samples from macaques and humans; the Sarawak Forestry Department and the Sarawak Biodiversity Centre for permits to trap and sample macaques; and Sanjeev Krishna and Arnab Pain for their comments on the original manuscript.
Conceived and designed the experiments: KSL DJC JCS BS. Performed the experiments: KSL PCSD SKZ RAJ. Analyzed the data: KSL PCSD SKZ DJC BS. Contributed reagents/materials/analysis tools: AM. Wrote the paper: KSL DJC JCS BS. Organized trapping and collection of macaque blood samples: AM. Assisted in securing permits for trapping wild macaques and in organising and supervising staff of Sarawak Health Department in obtaining macaque and human blood samples: AM.
- 1. Singh B, Sung LK, Matusop A, Radhakrishnan A, Shamsul SSG, et al. (2004) A large focus of naturally acquired Plasmodium knowlesi infections in human beings. Lancet 363: 1017–1024.
- 2. Lee KS, Cox-Singh J, Singh B (2009) Morphological features and differential counts of Plasmodium knowlesi parasites in naturally acquired human infections. Malar J 8: 73.
- 3. Cox-Singh J, Davis TME, Lee KS, Shamsul SSG, Matusop A, et al. (2008) Plasmodium knowlesi malaria in humans is widely distributed and potentially life-threatening. Clin Infect Dis 46: 165–171.
- 4. Vythilingam I, NoorAzian YM, Huat TC, Jiram AI, Yusri YM, et al. (2008) Plasmodium knowlesi in humans, macaques and mosquitoes in peninsular Malaysia. Parasit Vectors 1: 26.
- 5. Jongwutiwes S, Putaporntip C, Iwasaki T, Sata T, Kanbara H (2004) Naturally acquired Plasmodium knowlesi malaria in human, Thailand. Emerg Infect Dis 10: 2211–2213.
- 6. Putaporntip C, Hongsrimuang T, Seethamchai S, Kobasa T, Limkittikul K, et al. (2009) Differential prevalence of Plasmodium infections and cryptic Plasmodium knowlesi malaria in humans in Thailand. J Infect Dis 199: 1143–1150.
- 7. Zhu HM, Li J, Zheng H (2006) Human natural infection of Plasmodium knowlesi. Chin J Parasitol Parasit Dis 24: 70–71.
- 8. Ng OT, Ooi EE, Lee CC, Lee PJ, Ng LC, et al. (2008) Naturally acquired human Plasmodium knowlesi infection, Singapore. Emerg Infect Dis 14: 814–816.
- 9. Ong CWM, Lee SY, Koh WH, Ooi EE, Tambyah PA (2009) Monkey malaria in humans: a diagnostic dilemma with conflicting laboratory data. Am J Trop Med Hyg 80: 927–928.
- 10. Luchavez J, Espino FE, Curameng P, Espina R, Bell D, et al. (2008) Human infections with Plasmodium knowlesi, the Philippines. Emerg Infect Dis 14: 811–813.
- 11. Eede PV, Van HN, Van Overmeir C, Vythilingam I, Duc TN, et al. (2009) Human Plasmodium knowlesi infections in young children in central Vietnam. Malar J 8: 249.
- 12. Figtree M, Lee R, Bain L, Kennedy T, Mackertich S, et al. (2010) Plasmodium knowlesi in Human, Indonesian Borneo. Emerg Infect Dis 16: 672–674.
- 13. Sulistyaningsih E, Fitri LE, Löscher T, Berens-Riha N (2010) Diagnostic difficulties with Plasmodium knowlesi infection in humans. Emerg Infect Dis 16: 1033–1034.
- 14. Daneshvar C, Davis TME, Cox-Singh J, Rafa'ee MZ, Zakaria SK, et al. (2009) Clinical and laboratory features of human Plasmodium knowlesi infection. Clin Infect Dis 49: 852–860.
- 15. Knowles R, Das Gupta BM (1932) A study of monkey-malaria and its experimental transmission to man. Ind Med Gaz 67: 301–321.
- 16. Garnham PCC (1966) Malaria parasites and other haemosporidia. Oxford: Blackwell Scientific Publications. pp. 1–1114.
- 17. Lambrecht FL, Dunn FL, Eyles DE (1961) Isolation of Plasmodium knowlesi from Philippine macaques. Nature 191: 1117–1118.
- 18. Chin W, Contacos PG, Collins WE, Jeter MH, Alpert E (1968) Experimental mosquito-transmission of Plasmodium knowlesi to man and monkey. Am J Trop Med Hyg 17: 355–358.
- 19. Drummond AJ, Rambaut A, Shapiro B, Pybus OG (2005) Bayesian coalescent inference of past population dynamics from molecular sequences. Mol Biol Evol 22: 1185–1192.
- 20. Hayakawa T, Culleton R, Otani H, Horii T, Tanabe K (2008) Big bang in the evolution of extant malaria parasites. Mol Biol Evol 25: 2233–2239.
- 21. Wang TH, Donaldson YK, Brettle RP, Bell JE, Simmonds P (2001) Identification of shared populations of human immunodeficiency virus type 1 infecting microglia and tissue macrophages outside the central nervous system. J Virol 75: 11686–11699.
- 22. Slatkin M, Maddison WP (1989) A cladistic measure of gene flow inferred from the phylogenies of alleles. Genetics 123: 603–613.
- 23. Harpending HC (1994) Signature of ancient population growth in a low-resolution mitochondrial DNA mismatch distribution. Hum Biol 66: 591–600.
- 24. Tajima F (1989) Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123: 585–595.
- 25. Fu YX, Li WH (1993) Statistical tests of neutrality of mutations. Genetics 133: 693–709.
- 26. Fay JC, Wu CI (2000) Hitchhiking under positive Darwinian selection. Genetics 155: 1405–1413.
- 27. Aris-Brosou S, Excoffier L (1996) The impact of population expansion and mutation rate heterogeneity on DNA sequence polymorphism. Mol Biol Evol 13: 494–504.
- 28. Coatney GR, Collins WE, Warren M, Contacos PG (1971) The primate malarias. Washington DC: U.S. Government Printing Office. pp. 1–366.
- 29. Seethamchai S, Putaporntip C, Malaivijitnond S, Cui L, Jongwutiwes S (2008) Malaria and Hepatocystis species in wild macaques, southern Thailand. Am J Trop Med Hyg 78: 646–653.
- 30. Vythilingam I, Tan CH, Asmad M, Chan ST, Lee KS, et al. (2006) Natural transmission of Plasmodium knowlesi to humans by Anopheles latens in Sarawak, Malaysia. Trans R Soc Trop Med Hyg 100: 1087–1088.
- 31. Tan CH, Vythilingam I, Matusop A, Chan ST, Singh B (2008) Bionomics of Anopheles latens in Kapit, Sarawak, Malaysian Borneo in relation to the transmission of zoonotic simian malaria parasite Plasmodium knowlesi. Malar J 7: 52.
- 32. Macaulay V, Hill C, Achilli A, Rengo C, Clarke D, et al. (2005) Single, rapid coastal settlement of Asia revealed by analysis of complete mitochondrial genomes. Science 308: 1034–1036.
- 33. Soares P, Ermini L, Thomson N, Mormina M, Rito T, et al. (2009) Correcting for purifying selection: an improved human mitochondrial molecular clock. Am J Hum Genet 84: 740–759.
- 34. Ziegler T, Abegg C, Meijaard E, Perwitasari-Farajallah D, Walter L, et al. (2007) Molecular phylogeny and evolutionary history of Southeast Asian macaques forming the M. silenus group. Mol Phylogenet Evol 42: 807–816.
- 35. Joy DA, Feng X, Mu J, Furuya T, Chotivanich K, et al. (2003) Early origin and recent expansion of Plasmodium falciparum. Science 300: 318–321.
- 36. Krief S, Escalante AA, Pacheco MA, Mugisha L, André C, et al. (2010) On the diversity of malaria parasites in African apes and the origin of Plasmodium falciparum from Bonobos. PLoS Pathog 6: e1000765.
- 37. Escalante AA, Cornejo OE, Freeland DE, Poe AC, Durrego E, et al. (2005) A monkey's tale: the origin of Plasmodium vivax as a human malaria parasite. Proc Natl Acad Sci U S A 102: 1980–1985.
- 38. Mu J, Joy DA, Duan J, Huang Y, Carlton J, et al. (2005) Host switch leads to emergence of Plasmodium vivax malaria in humans. Mol Biol Evol 22: 1686–1693.
- 39. Voris HK (2000) Maps of Pleistocene sea levels in Southeast Asia: shorelines, river systems and time durations. J Biogeog 27: 1153–1167.
- 40. Atkinson QD, Gray RD, Drummond AJ (2008) mtDNA variation predicts population size in humans and reveals a major Southern Asian chapter in human prehistory. Mol Biol Evol 25: 468–474.
- 41. Pain A, Böhme U, Berry AE, Mungall K, Finn RD, et al. (2008) The genome of the simian and human malaria parasite Plasmodium knowlesi. Nature 455: 799–803.
- 42. Liu W, Li Y, Learn GH, Rudicell RS, Robertson JD, et al. (2010) Origin of the human malaria parasite Plasmodium falciparum in gorillas. Nature 467: 420–425.
- 43. Jongwutiwes S, Putaporntip C, Iwasaki T, Ferreira MU, Kanbara H, et al. (2005) Mitochondrial genome sequences support ancient population expansion in Plasmodium vivax. Mol Biol Evol 22: 1733–1739.
- 44. Librado P, Rozas J (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451–1452.
- 45. Clement M, Posada D, Crandall KA (2000) TCS: a computer program to estimate gene genealogies. Mol Ecol 9: 1657–1659.
- 46. Parker J, Rambaut A, Pybus OG (2008) Correlating viral phenotypes with phylogeny: accounting for phylogenetic uncertainty. Infect Genet Evol 8: 239–246.
- 47. Excoffier L, Laval G, Schneider S (2005) Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinform Online 1: 47–50.
- 48. Schneider S, Excoffier L (1999) Estimation of past demographic parameters from the distribution of pairwise differences when the mutation rates vary among sites: application to human mitochondrial DNA. Genetics 152: 1079–1089.
- 49. Posada D, Crandall KA (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics 14: 817–818.
- 50. Steiper ME, Young NM (2006) Primate molecular divergence dates. Mol Phylogenet Evol 41: 384–394.