African great apes are naturally infected by a multitude of Plasmodium species most of them recently discovered, among which several are closely related to human malaria agents. However, it is still unknown whether these animals can serve as source of infections for humans living in their vicinity. To evaluate this possibility, we analysed the nature of Plasmodium infections from a bank of 4281 human blood samples collected in 210 villages of Gabon, Central Africa. Among them, 2255 were detected positive to Plasmodium using molecular methods (Plasmodium Cytochrome b amplification). A high throughput sequencing technology (454 GS-FLX Titanium technology, Roche) was then used to identify the Plasmodium species present within each positive sample. Overall, we identified with confidence only three species infecting humans in Gabon: P. falciparum, P. malariae and P. ovale. None of the species known to infect non-human primates in Central Africa was found. Our study shows that ape Plasmodium parasites of the subgenus Laverania do not constitute a frequent source of infection for humans. It also suggests that some strong host genetic barriers must exist to prevent the cross species transmission of ape Plasmodium in a context of ever increasing contacts between humans and wildlife.
Citation: Délicat-Loembet L, Rougeron V, Ollomo B, Arnathau C, Roche B, Elguero E, et al. (2015) No Evidence for Ape Plasmodium Infections in Humans in Gabon. PLoS ONE 10(6): e0126933. https://doi.org/10.1371/journal.pone.0126933
Academic Editor: Érika Martins Braga, Universidade Federal de Minas Gerais, BRAZIL
Received: December 18, 2014; Accepted: April 9, 2015; Published: June 3, 2015
Copyright: © 2015 Délicat-Loembet 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
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This work was jointly supported by Centre National de la Recherche Scientifique (CNRS, France), Institut de Recherche pour le Développement (IRD, France) and Centre International de Recherches Médicales de Franceville (CIRMF, Gabon) as well as the Jeunes Chercheuses et Jeunes Chercheurs Sciences de la Vie, de la Santé et des Ecosysytèmes (JCJC SVSE 2012) of the Agence Nationale de la Recherche (ANR, France). Funding was also provided by the ANR JCJC SEST 2012 ORIGIN. 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.
Disease outbreaks have roughly quadrupled over the past 50 years, with 60 percent of "disease emergences" originating in animals and subsequently infecting humans. The majority of these zoonotic diseases come from wild animals, suggesting that increased fragmentation and destruction of habitats bring humans in contact with more and more pathogens, especially in biodiversity-rich regions like the tropics .
Because of their close genetic proximity with humans, great apes and monkeys have the potential to serve as sources of various human pathogens, as exemplified by the recent cases of AIDS and Ebola Fever . The emergence of these and other diseases has been linked to the always-increasing interface between tropical wildlife communities and human populations . Since most nonhuman primates live in tropical forest habitats, most interactions between humans and wild nonhuman primates occur in this high-risk interface, which has recently increased in particular because of forest encroachment .
The genus Plasmodium, responsible for malaria, one of the worst scourges of human mankind, is widespread in primates. For this and other reasons, it represents a group at risk for disease emergence in humans. First, this is a vector-borne disease and vector-borne pathogens are responsible for about one third of the new emerging infectious diseases in humans. Second, the evolutionary history of this genus has shown its potential to switch from host to host, especially between primates and humans, underlying its capacities to cross species barriers. These capacities have been highlighted in our recent history as, in 2004, another Plasmodium species, traditionally known to infect macaques, P. knowlesi, was reported to cause about 70% of human malaria infections in certain parts of Southeast Asia . It is now considered as the “fifth human malaria parasite”. It seems now clear that this is the increasing contacts between humans and macaques that have favoured this transfer .
Recently, several studies have re-explored the diversity of Plasmodium species circulating in great apes in Africa [6–10]. They showed that gorillas and chimpanzees harboured a multitude of Plasmodium species, including species very closely related to the human malaria agents, P. falciparum, P. malariae, P. ovale and P. vivax (Fig 1A). Among the species related to P. falciparum and classified into the subgenus Laverania, three species were shown to infect only chimpanzees (P. gaboni, P. billcollinsi and P. reichenowi) and three only gorillas (P. gorA- syn P. adleri, P. gorB—syn P. blacklocki and P. praefalciparum). But more importantly, they showed that P. falciparum, the most virulent species of all, very likely appeared following a transfer of P. praefalciparum from gorillas to humans . For the species related to P. malariae, P. ovale and P. vivax (which we will refer to P. malariae-like, P. ovale-like and P. vivax-like), they are classified in the subgenus Plasmodium. Although for P. ovale and P. malariae, information regarding their origin are very scare if not absent, for P. vivax, recent studies suggest that its origin is either the result of a transfer to humans of parasites from Asian monkeys or African apes [9,12].
Distribution of the different sub-species of chimpanzees, bonobos and of gorillas in Central Africa is shown.
In light of these different discoveries, several authors suggested the possibility that great apes could constitute reservoirs of infections for humans in Africa [7–10]. Only one recent study, by Sundararaman et al. , explored this hypothesis in Cameroon and found no evidence of infections by ape Plasmodium in humans. Nevertheless, their work covered only a small area of the distribution of great apes in West Central Africa and in Cameroon as well. In addition, human samples concerned only a limited number of persons collected from only eight different villages.
In the present study, we evaluated the possibility of present ape-to-human transmission of Plasmodium species using a large bank of 4281 human blood samples collected from 210 villages of Gabon (~ 1/10 of the Gabonese villages) (Fig 1B). Gabon represents almost half of the range of western chimpanzees and gorillas in Central Africa and this country is characterized by high malaria endemicity . The identification of Plasmodium species infecting each positive individual was performed using the next-generation sequencing 454 Titanium approach, allowing us to evaluate the zoonotic potential of ape Plasmodium.
Material and Methods
Forest-dwelling human samples
To explore the diversity of Plasmodium species infecting humans in Gabon, we analysed a set of 4281 blood samples (red cell clots) from an existing bank of specimens previously collected for epidemiological studies of various infectious diseases including malaria . The samples were collected between June 2005 and September 2008. Over the entire period, blood collection covered 210 randomly chosen villages from the nine administrative provinces of Gabon (Estuaire, Haut-Ogooué, Moyen-Ogooué, Ngounié, Nyanga, Ogooué-Ivindo, Ogooué-Lolo, Ogooué-Maritime and Woleu-Ntem) with 10 to 34 villages per province (Fig 1B). In these 210 villages, all healthy volunteers over the age of 15 who had been residing in the village for more than one year were recruited for the study. All individuals were sampled only once.
Blood samples were usually collected in the village health care centers into 7-ml vacutener tubes containing EDTA (VWR International, France). The tubes were transported daily to the field laboratory for centrifugation (10min, 2000g). Plasma, buffy coat and red blood cells were stored separately. Samples were preserved at -20°C until the end of the field mission and then transferred on dry ice at the Centre International de Recherches Médicales de Franceville (CIRMF) and kept at -80°C until analysis. Red blood cell clots were then processed for Plasmodium detection.
Written consent was secured from all participants. In the case of minors, consent was obtained from at least one parent. Our study received the approval of the Gabonese Ministry of Health with a research authorization No. 00093 on these samples March 15, 2005. Note finally that all samples were analyzed anonymously.
DNA extraction and Plasmodium Cytb amplification
For each sample, DNA was extracted from 200μl of red blood cell clot using the DNeasy Blood and Tissue kit (Qiagen, France) according to the manufacturer’s recommendations and eluted in 100μl of elution buffer.
To screen for Plasmodium infections, we tested the 4281 human samples for Plasmodium Cytochrome b (Cytb) mitochondrial sequences by a nested PCR already described in Ollomo et al. .
Sample preparation for multiplex 454 sequencing
To identify the Plasmodium species present in each positive sample and detect mixed infections even when one species constitutes only a small fraction of the parasite load, we used a deep-sequencing approach. More particularly, we used the 454 GS-FLX Titanium technology (Roche) on multiplexed tagged amplicons of several hundreds of samples amplified for a fragment of 201bp of the Cytb gene, containing SNVs (Single Nucleotide Variants) allowing to discriminate humans from ape Laveranias as well as Plasmodium species from the subgenus Plasmodium (see Fig 2) .
In green are represented the three protein coding genes of the mitochondrial genome of Plasmodium parasites. On the Cytochrome b gene, used for Plasmodium diagnostic in this study, the position of the two SNVs (single nucleotide variations) allowing to distinguish P. falciparum from the ape Laveranias is shown in orange.
The target mitochondrial fragment was amplified using the amplicons of the first round of PCR obtained during Plasmodium diagnostics. Based on these amplicons, a second round of amplification was performed using the following primers designed for this study (Forward: 5’-WAATTAYCCATGYCCATTRAA-3’ and Reverse: 5’-CCWGTWGCYTGCATYTATCT-3’). Forward and reverse primers were designed by adding a GS FLX Titanium Primer sequence 7bp multiplex identifiers (MID) tags published by Galan et al. . Because these MID tags differed from the others by at least three substitutions, they are tolerant to several errors to avoid misassignment of reads. Every 25 μl reaction mix was composed of 12.5 μl of Multiplex PCR mix 2X (Qiagen), 2.5 μl of Q solution (Qiagen), 0.5μl of each tagged primer (10pM each) and, 1 μl of the first PCR product Amplifications were carried out in a thermal cycler using the following reaction conditions: 95°C for 15 min, followed by 35 cycles of 94°C for 30 sec, 51°C for 30 sec, 72°C for 1 min, and a final extension step of 72°C for 10 min. These tagged primers were validated for amplification of sequences of the appropriate length using P. falciparum 3D7, P. malariae, P. ovale and a set of ape Plasmodium (P. gaboni, P. gorA, P. praefalciparum) genomic DNA. Each isolate was amplified using a unique combination of forward and reverse MID tags. PCR amplification was confirmed visually by nucleic acid staining (EZ VISION DNA Dye, Ambresco), followed by gel electrophoresis (2% agarose in 0.5x TBE buffer) demonstrating a band of the appropriate size (~ 317bp comprising adaptors). Several positive and negative controls (no template) were used for quality assurance (see S3 Table for the list of the positive controls used in the study).
Amplicon library preparation
The PCR products were first purified using SPRI method (solid-phase reversible immobilization) (Agencourt, AMPure XP). Then, PCR amplicon concentrations were measured using the Quant-iT PicoGreen dsDNA kit per manufacturer’s instructions (Invitrogen). Known concentrations of control DNA were prepared as directed by the Roche Technical Bulletin (454 Sequencing Technical Bulletin No. 005–2009). We assayed fluorescence intensity using a Perkin-Elmer VICTOR X3 multilabel plate reader, with fluorescein excitation wavelength of ~480nm and emission of ~520nm wavelength.
454 GS-FLX Titanium sequencing approach
We prepared four PCR amplicon library pools, each containing equimolar amounts of up to 700 PCR amplicons with unique MID tag combinations. These four pools were sequenced in forward and reverse directions on segregated regions of one full 454 plate using GS FLX Titanium chemistry (Roche). Sequencing was performed by Beckmann Coulter Genomics (Danvers, MA, USA).
Sequence analysis pipeline
A custom pipeline was developed to de-multiplex, de-noise and remove PCR and sequencing artefacts from the Cytb reads. Sff-files obtained from each region on the 454-plate were divided into smaller isolate specific sff-files by identification of reads with exact matching MID sequences in both ends. Ambiguous primer sites were then identified (exact match) and trimmed off the flowgrams and reverse reads were reverse complemented. Forward and reverse reads were then combined to take advantage of bi-directional amplicon sequencing, since the forward read has the highest quality in the 5’-end of the target sequence, and the reverse read improves the 3’-end quality. For each individual, each read was aligned to a set of reference sequences (S1 Table) by Muscle program  and then BLAST against these references for species assignment using the BLASTn program. The maximal e-value was retained for each read. Reads were discarded if they had a similar BLAST score (similar maximal e-value) for two reference sequences belonging to two different Plasmodium species. For the others, each read was assigned to the species for which it obtained the highest score. Note that our pipeline did not allow to distinguish between the different sub-species of P. ovale (P. ovale curtisi and P. ovale wallikeri).
Of the 4281 human blood samples examined, 2255 harboured an infection with Plasmodium (Plasmodium Cytochrome b (Cytb) amplification). Of these, 1674 passed quality control (amplicon concentration higher than 2ng/μl) and were successfully sequenced by multiplex pyrosequencing (using the 454 GS-FLX Titanium technology, Roche). The average number of reads obtained per individual was 927.7 and 95% of them had between 285 and 1995 reads. Using our pipeline, each read was attributed to one of the reference species (S1 Table).
The proportion of individuals harbouring at least one read assigned to one or another species is given in Fig 3. As shown, most individuals carried at least one read assigned to one of the human Plasmodium: 99.4% with at least one read of P. falciparum, 47.6% with P. malariae and 9.9% with P. ovale. Several individuals also carried reads belonging to P. vivax, a species supposed to be absent from Central Africa  as well as reads assigned to non-human primate Plasmodium, such as P. gaboni, P. reichenowi from chimpanzees, or P. praefalciparum, P. gorA (syn. P. adleri), P. gorB (syn: P. blacklocki) from gorillas. Nevertheless, these species represent only 0.32% of the reads within positive individuals (range [min = 0.03%; max = 1.6%]). This thus suggests that their presence could, for their vast majority, be explained by experimental artefacts such as cross-contamination, tag switching and/or artificial mutations.
These problems become evident when observing both the negative and the positive controls. Indeed, over the four negative controls (one in each pool), one contained five “Unexpected Reads” (“URs”), belonging to P. falciparum. Regarding the eleven positive controls, which were carefully chosen because of their known single-infection, a high proportion of them (90.9%) also harboured reads belonging to a species different from the expected one (see S2 Table). This was for example the case for our P. vivax control. While this control was isolated from a patient from Thailand, several of its reads were assigned to a species only known to circulate in African apes (here P. gaboni). Similarly, in the ape-derived Plasmodium positive controls, reads belonging to Plasmodium species known to only infect the other ape species or humans were found. In these positive controls, any read belonging to another species than the one expected was therefore considered to be a “UR”. This allowed us to determine the proportions that “URs” could represent over the total number of reads obtained per individuals. On average, "URs" represented 0.5% of the reads and up to 2.5% per individuals. All other reads were assigned to the expected species.
In what follows, we explore the role these different experimental artefacts (cross-contamination, tag switching and/or artificial mutations) could play in the presence of “URs” in the Gabonese human samples.
One problem with nested PCRs is the possibility of cross-contaminations among wells . In our experimental design, despite the precautions taken to avoid contaminations during manipulations (one-way sample flow with separated areas, preparation of DNA and PCR mix in a clean UV hood, human and ape samples treated in separate clean rooms), the presence of “URs” (P. vivax or some non-human primate Plasmodium species reads) in the Gabonese human samples could be due to cross-contamination from our positive controls. If this is the case, we then expect the proportion of “URs” to be higher in PCR plates where positive controls were present than in the other PCR plates (without positive controls). The second amplification round was performed for a total of 31 PCR plates. The positive controls were amplified in four of them at the end of the amplification process. We tested the prediction and, as shown in Fig 4, our results are congruent with it. Indeed, in the PCR plates containing the positive controls, we observed (i) a significantly higher proportion of human individuals containing “URs” (Logistic regression, P-value = 1.3 10–6) and (ii) a significantly higher mean number of “URs” per individual (ANOVA, P-value = 2.2 10–16).
A. Comparison of the proportion of individuals displaying “Unexpected Reads” (URs) (i.e reads not assigned to P. falciparum, P. malariae or P. ovale) between PCR plates where positive individuals were amplified (PCR plates with positive controls) and those without positive controls (PCR plates without positive controls). B. Comparison of the average number of “Unexpected Reads” (URs) per individual in PCR plates with (PCR plates with positive controls) and without the positive controls (PCR plates without positive controls).
If cross-contamination can explain part of the “Unexpected Reads” (URs) in the Gabonese human samples, it cannot be at the origin of all them, especially when the DNA of the individuals never physically interacted with the positive controls (i.e. when these individuals were amplified in different PCR plates, at different times). One possibility to explain these individuals positive to “URs” could then be tag switching .
During amplicon pyrosequencing, we incorporated tags at both ends of the amplicons in order to recognize individuals after pooling. The sequences of the different tags and their combinations were primarily chosen to avoid such problems. Indeed, at the worst, a combination of tags was chosen to be different from another combination of tags by at least three substitutions.
After sequencing, we observed that a certain proportion of the resulting sequences possessed novel tags (unexpected tags with mutated nucleotides in the sequence). These reads were obviously discarded from the analyses since they could not be attributed to any individual. These changes in the nature of the tags can be attributable to the known high mutation rate generated by the 454 pyrosequencing process . But were these artificial mutation rates high enough to generate complete switches of tags, leading to a miss-assignment of a read to an individual?
To test this possibility, we measured the minimal genetic distance between each human sample tag combinations (using the Levenshtein Distance ) and the ones used for the non-human Plasmodium primate and P. vivax positive controls. We made the following prediction: if the artificial mutation rate was high enough to generate some switches of tags, then the proportion of tag switches from the positive controls should be higher with the human samples that display combinations of tags that were closer genetically from the positive controls. Results are given in Fig 5 and support our predictions. Indeed, in the PCR plates without the positive controls, the proportion of individuals displaying URs are significantly higher in individuals whose tags showed the smallest distance with the positive controls (Logistic regression, P-value = 0.001389).
In our dataset, almost 2% of the human individuals carried at least one read assigned to P. praefalciparum. Although, to some extent, the presence of some of these reads could be explained by cross-contamination and/or tag switching from the positive controls, an ultimate phenomenon could explain such a high proportion of individuals with reads assigned to P. praefalciparum: the artificial transformation of P. falciparum sequences into P. praefalciparum reads. Indeed, given that the 454-derived mutation rate is high and that P. falciparum and P. praefalciparum only differ by two substitutions in the range of the amplified sequence, there is a possibility that artificial mutations could be at the origin of some of the P. praefalciparum reads.
To evaluate this possibility, we analysed the relationship between the number of P. falciparum reads sequenced within individuals and the number of P. praefalciparum reads, expecting it to be positive in the case random mutation at a constant rate generate the P. praefalciparum sequences from the P. falciparum ones. Results are shown in Fig 6. They are congruent with our hypothesis as the average number of P. falciparum reads is significantly higher in individuals displaying at least one P. praefalciparum read (Fig 6, ANOVA, P-value = 2.16 10–5).
Experimental artefacts and URs in the human samples
Finally, in order to evaluate the importance of these experimental artefacts in explaining the presence of URs in the human samples, we analysed the relationship between the total number of reads sequenced in the P. vivax and ape Plasmodium positive controls and the total number of “URs” (P. vivax and ape Plasmodium) obtained in the human samples. As shown in Fig 7, the number of reads in the positive control is strongly significantly positively correlated with the total number of URs observed in humans, explaining almost 90% of the variations (Spearman correlation test, P-value = 0.0046, R2 = 0.90).
Removing low-frequency reads within each individual is one proposed solution (e.g. ) to counteract the different biases generated by this kind of experimental protocol. Based on the percentages of unexpected reads (“URs”) detected within our positive controls (up to 2.5%), we here took a conservative 5% as cut-off value. This cut-off value represents the lowest proportion of reads one species must have within an individual to be considered as present in this individual.
Using this cut-off, Gabonese individuals are only infected with P. falciparum, P. malariae and P. ovale. We estimated the prevalence of P. falciparum, P. malariae, P. ovale and of the co-infections within our sample. Over the 1674 positive samples, 76.6% contained only P. falciparum, 6.3% P. malariae and 0.71% P. ovale. Mixed infections represented 16.4% of the samples among which 14.9% were P. falciparum / P. malariae, 0.53% P. falciparum / P. ovale, 0.24% P. malariae / P. ovale and 0.72% P. falciparum / P. malariae / P. ovale. None of the samples contained P. vivax or ape Plasmodium.
No evidence of non-human primate Plasmodium infecting humans in Gabon
Over 4281 samples distributed all over Gabon, a country representing a large part of the range of western chimpanzees and gorillas, we explored the diversity of Plasmodium species infecting human populations living in a forested environment. Of the 1674 Plasmodium positive blood samples examined using Next Generation Sequencing methods, there was no evidence of zoonotic infections with any of the six Laverania species known to circulate in apes (Fig 1A). Only three Plasmodium species historically recognised as human Plasmodium were detected in our sampling: P. falciparum, P. malariae and P. ovale.
Our results are congruent with results of a recent study realised in Cameroon on a far smaller sampling, in which no evidence of ape Laverania infections was detected as well . Our study, in addition to the previous one, suggests therefore that the transmission of non-human primate Plasmodium to humans is very rare in Central Africa (if not absent), even in populations living in close contact with apes.
Why are such transfers rare? One explanation could be that the vectors of non-human primate Plasmodium are not anthropophilic and cannot therefore serve as bridge between humans and non-human primates. This seems however to be at odds with several recent observations. Indeed, although only little information is available on the potential vectors of ape Plasmodium , among the sylvan mosquito species that were, up to date, found to be infected with ape Plasmodium, one species was Anopheles moucheti. This species is known to be anthropophilic, a major human Plasmodium vector in Central Africa and could thus easily play the role of bridge vector between apes and humans . In addition, at least one transfer of ape Plasmodium to human was formerly documented in Africa (a case of an ape P. vivax) , thus highlighting the possibility that some mosquito species indeed may play the role of bridge between the two categories of hosts.
One explanation could thus be a strong host specificity preventing the transmission of parasites from one host to another. Several experiments of artificial transplantations were made in the past with human and ape Laverania species and always failed to induce either an infection or malaria symptoms even in splenectomised animals . Invasion of red cells by the parasites is governed by a set of surface protein interacting with proteins expressed at the surface of the host cells . Several studies suggest that this interaction could be very specific and explain the strong host tropism. In particular, several authors proposed that the interaction between the Plasmodium protein EBA 175 and the host-specific forms of Glycophorin A (GPA) could be responsible in Laverania parasites of the strong host specificity . However, a recent study questions the implication of the EBA175-GPA proteins as sole responsible for the host tropism and proposes that species-specific differences in the interaction between Plasmodium RH5 and host Basigin could also be involved. Another recent study suggests that other plasmodium RH genes could also be involved in host specificity or adaptation to the vertebrate host .
Beyond Laverania species apes (gorillas and chimpanzees) are also naturally infected with species of the subgenus Plasmodium, namely P. malariae, P. ovale and P. vivax-like parasites [8,9,11,26,27]. Species of this subgenus are known to be naturally more prone to infect a multiplicity of host species. Thus, several of these species in particular those infecting apes (P. malariae-like, P. ovale-like and P. vivax-like) have been shown to be able to induce symptomatic malaria in humans in experimental or accidental infections [9,28]. Our results do not show any evidence of ape to human P. vivax transfers in Gabon. For ape P. malariae and P. ovale, no study has examined their molecular characteristics compared to their human equivalent which make it impossible so far to distinguish them from the human ones. Complementary studies should therefore be done to be able to estimate their zoonotic potential.
No evidence of human P. vivax circulation in Gabon
Our results finally suggest the absence of human P. vivax naturally circulating in human populations in Central Africa. This is in agreement with previous studies that also failed to molecularly detect P. vivax from Central African populations despite immunological evidences of exposure [13,19]. In addition, it has to be noticed that the only transfer of P. vivax-like from apes to humans has been described in a European traveller in Central African Republic . In this context, this absence of human P. vivax naturally circulating in Central Africa is very likely the result of the high prevalence of Duffy negativity observed in the Central African populations, which is known to confer a high level of resistance to humans against this parasite.
Nevertheless, there is a risk that the situation does not remain the same forever. As previously discussed, great apes constitute a reservoir of P. vivax in Central Africa and transfers to humans have been documented in certain occasions . In addition, the contacts between humans and primates are constantly increasing due to logging, forest encroachment and illegal conservation of animals as pets and there is also more and more evidence that the parasite could evolve alternative pathways to infect Duffy negative persons [29–31]. Finally, non-African Duffy positive human populations live in these regions of the world (immigrants, workers) and are fully susceptible to P. vivax.
S1 Table. Reference sequences used to determine the origin of the 454 reads.
S2 Table. Number of reads obtained per Plasmodium species for the different positive and negative controls in the four pools.
We thank the four anonymous reviewers for their constructive comments. We thank F. Cerqueira et E. Desmarais for their assistance at the Plateforme Génotypage-Séquençage, Université Montpellier 2, France. Authors also thank the ANR JCJC SEST 2012 ORIGIN as well as CNRS, IRD and CIRMF for financial support.
Conceived and designed the experiments: LDL VR BO CA PD. Performed the experiments: LDL VR BO CA PD. Analyzed the data: VR PD BR EE FP. Contributed reagents/materials/analysis tools: LDL NDM APO BMO LB SH MG DN EML CP. Wrote the paper: LDL VR FR FP.
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