Open Access

Distribution and prevalence of malaria parasites among long-tailed macaques (Macaca fascicularis) in regional populations across Southeast Asia

  • Xinjun Zhang1,
  • Khamisah Abdul Kadir2,
  • Leslie Fabiola Quintanilla-Zariñan1,
  • Jason Villano3,
  • Paul Houghton4,
  • Hongli Du5,
  • Balbir Singh2Email author and
  • David Glenn Smith1Email author
Malaria Journal201615:450

https://doi.org/10.1186/s12936-016-1494-0

Received: 16 May 2016

Accepted: 16 August 2016

Published: 2 September 2016

Abstract

Background

Plasmodium knowlesi and Plasmodium cynomolgi are two malaria parasites naturally transmissible between humans and wild macaque through mosquito vectors, while Plasmodium inui can be experimentally transmitted from macaques to humans. One of their major natural hosts, the long-tailed macaque (Macaca fascicularis), is host to two other species of Plasmodium (Plasmodium fieldi and Plasmodium coatneyi) and is widely distributed in Southeast Asia. This study aims to determine the distribution of wild macaques infected with malarial parasites by examining samples derived from seven populations in five countries across Southeast Asia.

Methods

Plasmodium knowlesi, P. cynomolgi, P. coatneyi, P. inui and P. fieldi, were detected using nested PCR assays in DNA samples from 276 wild-caught long-tailed macaques. These samples had been derived from macaques captured at seven locations, two each in the Philippines (n = 68) and Indonesia (n = 70), and one each in Cambodia (n = 54), Singapore (n = 40) and Laos (n = 44). The results were compared with previous studies of malaria parasites in long-tailed macaques from other locations in Southeast Asia. Fisher exact test and Chi square test were used to examine the geographic bias of the distribution of Plasmodium species in the macaque populations.

Results

Out of 276 samples tested, 177 were Plasmodium-positive, with P. cynomolgi being the most common and widely distributed among all long-tailed macaque populations (53.3 %) and occurring in all populations examined, followed by P. coatneyi (20.4 %), P. inui (12.3 %), P. fieldi (3.4 %) and P. knowlesi (0.4 %). One P. knowlesi infection was detected in a macaque from Laos, representing the first documented case of P. knowlesi in wildlife in Laos. Chi square test showed three of the five parasites (P. knowlesi, P. coatneyi, P. cynomolgi) with significant bias in prevalence towards macaques from Malaysian Borneo, Cambodia, and Southern Sumatra, respectively.

Conclusions

The prevalence of malaria parasites, including those that are transmissible to humans, varied among all sampled regional populations of long-tailed macaques in Southeast Asia. The new discovery of P. knowlesi infection in Laos, and the high prevalence of P. cynomolgi infections in wild macaques in general, indicate the strong need of public advocacy in related countries.

Keywords

Plasmodium knowlesi Plasmodium cynomolgi Macaca fascicularis Geographic distribution Biased infection rate

Background

Most malaria parasites are considered to be host-specific, in that most of them infect only one host species, though a single host can be infected by multiple Plasmodium species [1]. Humans are the natural hosts for four Plasmodium species: Plasmodium falciparum, Plasmodium malariae, Plasmodium vivax, and Plasmodium ovale [2]. Since 1930, three other species of Plasmodium that typically infect wild macaques in Southeast Asia had been known to be transmissible to humans. This was first demonstrated by passage with blood infected with Plasmodium knowlesi [3], and later with Plasmodium cynomolgi [4] and Plasmodium inui [5]. Furthermore, accidental infections of humans in research laboratories with P. cynomolgi through mosquito bites were reported in 1960 [4, 6] and 1980 [7], and also human infections through mosquito-transmission experiments in the 1960s with P. cynomolgi [4, 6, 8] and P. inui [9].

In 1965, the first case of a human naturally infected with knowlesi malaria was reported [10] and human infections in nature were considered extremely rare until in 2004, when 120 of 208 malaria patients at Kapit Hospital in Sarawak, Malaysian Borneo were found to be infected with P. knowlesi using nested PCR assays [11]. Additional human knowlesi malaria cases were subsequently reported throughout Southeast Asian countries, including Thailand, Singapore, Peninsular Malaysia, Cambodia, Vietnam, Indonesia and the Philippines [12], and in the Nicabar and Andaman Islands of India [13]. In 2014, another malaria parasite of long-tailed macaques, P. cynomolgi, was reported to have naturally infected a woman in Peninsular Malaysia [14]. These recent discoveries of humans infected with what were previously thought to be non-human malarias implied the potential larger distribution of human cases that may have not yet been confirmed and highlighted the potentially high risks of more zoonotic malaria infections.

The natural hosts of P. knowlesi and P. cynomolgi are long-tailed macaques (Macaca fascicularis) and pig-tailed macaques (Macaca nemestrina) [2]. Long-tailed macaques are widely distributed in Southeast Asia and exhibit the third most widespread geographical distribution among all primates after humans and rhesus macaques (Macaca mulatta) [15]. Their natural range extends southward and eastward from Southeastern Bangladesh and Burma, through the Southern part of the Indochinese Peninsula (Thailand, Cambodia, Laos, and Vietnam), and into the Malaysian Peninsula including Singapore, and the islands of Sumatra, Borneo, Java, and the Philippines [16].

Other than P. knowlesi and P. cynomolgi, long-tailed macaques are also natural hosts of three other Plasmodium species, namely P. coatneyi, P. fieldi and P. inui [11, 17]. The prevalence of these three parasites and their distribution in regional long-tailed macaque populations, however, had only been characterized for macaques in Malaysia and Singapore [1820]. Other studies have examined blood samples from macaques by either molecular detection assays solely for P. knowlesi in Thailand, Peninsular Malaysia and Indonesia [2125], or by sequencing of the Plasmodium mitochondrial genome in Malaysian Borneo [26]. A thorough investigation of Plasmodium infections in long-tailed macaques is necessary to determine their potential as a public health threat. The present study utilizes sensitive molecular detection methods, and characterizes the prevalence of five Plasmodium species in seven long-tailed macaque populations across the geographic range of these non-human primates in Southeast Asia.

Methods

DNA samples

DNA samples of 276 wild-caught long-tailed macaques from seven populations in Southeast Asian countries were employed for this study. These samples had been collected for genetic studies that were reported elsewhere [2729]. These included 50 samples from Southern Sumatra, 54 samples from Cambodia, 40 samples from Zamboanga in Southern Philippines, 28 samples from Batangas in Northern Philippines, 40 samples from Singapore, 20 samples from Bintan island in Indonesia (near Singapore), and 44 samples from Laos. These DNA samples were obtained from single time point blood collection and were stored at −20 °C in the Molecular Anthropology Laboratory at the University of California, Davis. DNA samples were obtained from long-tailed macaques that were all originally wild-caught. A map illustrating the geographic distribution and the origins of these samples is shown as Fig. 1.
Fig. 1

Locations of origin of capture of long-tailed macaques

Nested PCR assays

Malaria parasites have distinct small subunit ribosomal RNA (SSU rRNA) genes that are developmentally regulated [30]. Nested PCR assays targeting the distinct SSU rRNA genes of Plasmodium species were used to amplify DNA from macaque blood samples [31]. Samples were initially examined using Plasmodium-specific primers and those that were positive were subsequently examined with species-specific primers. The PCR parameters and primers used to detect Plasmodium, P. knowlesi, P. cynomolgi, P. inui, P. fieldi and P. coatneyi have been described previously [21, 32]. Plasmids containing the SSU rRNA genes of P. knowlesi, P. cynomolgi, P. inui, P. fieldi and P. coatneyi were used as positive controls and were provided by the Malaria Research Centre at Universiti Malaysia Sarawak [19]. The amplification products were analyzed by gel electrophoresis and data of Plasmodium infections of the samples were compared with published data in Plasmodium infections from wild long-tailed macaques in Sarawak, Malaysian Borneo, and multiple sites from Peninsular Malaysia, Thailand, Singapore and Indonesia [1926].

Sequencing of PCR amplified fragment and sequence analysis

One of the PCR amplified fragments, generated from a macaque from Laos with P. knowlesi-specific primers, was sequenced using the Sanger dideoxy sequencing method [33] and analyzed on the ABI 3730 Capillary Electrophoresis Genetic Analyzer. The DNA sequences were aligned by Clustal W and analysed using DNASTAR software (Lasergene, USA) and DnaSP version 4.10.8. The phylogenetic analysis was inferred by the Neighbor-joining method [34] with Kimura 2-parameter, including transitions and transversions, using MEGA version 3.1. The reliability of the internal nodes of the tree was assessed by the bootstrap method after 1000 replicates.

Analysis of prevalence of malaria parasites

To determine whether the prevalence of each Plasmodium species is geographically biased, Fisher exact test was performed on software R (version 3.2.4) on the distribution table. The null hypothesis under the Fisher exact test is, “prevalence and region are independent, i.e., prevalence of malaria parasite does not change as geographic location changes”. For the test, 107 random tables with the same column and row totals as the observed data, assuming row and column independence, were generated. The P value cited is the sum of the probabilities of all generated tables that have individual probabilities smaller than those in the observed table. To compare each observed value with its expected value under null hypothesis, Chi square tests were performed in R on the observed table to generate each expected value under the null hypothesis.

Results

Out of 276 long-tailed macaques screened for Plasmodium DNA using nested PCR assays, 177 were found to be positive (Table 1). Multiple infections with different species were observed in each of 32 samples. Among the positive samples, the frequency of single, double and triple infections was 81.9, 17.0, and 1.1 %, respectively. Plasmodium cynomolgi was detected in at least one macaque from all seven sampled locations, showing the highest prevalence (53.3 %) and most widespread distribution among macaques across Southeast Asia, followed by P. coatneyi (20.4 %), P. inui (12.3 %), P. fieldi (3.4 %), and P. knowlesi (0.4 %). The prevalence of each parasite species among the macaque populations varied by location (Table 2; Fig. 1), and these were compared with previous published studies conducted in Malaysian Borneo [21, 28], Thailand [24, 25], Peninsular Malaysia [20, 27], Singapore [22], and Indonesia [26].
Table 1

Malaria parasite infections in long-tailed macaques by location

Infection

Plasmodium species

Number of long-tailed macaques infected

Laos

Singapore

Vanny, Cambodia

Batangas, Philippines

Zamboanga, Philippines

Southern Sumatra

Bintan Island

Total

Single

Pk

1

      

1

Pcy

28

23

24

2

1

39

9

126

Pct

  

7

 

1

 

1

9

Pin

 

2

1

 

2

1

2

8

Pfi

 

1

     

1

Double

Pcy, Pin

 

1

2

  

9

2

15

Pin, Pfi

 

1

     

1

Pct, Pfi

1

1

     

2

Pcy, Pfi

  

1

   

1

2

Pct, Pcy

 

1

 

1

   

1

Pin, Pct

  

9

    

9

Triple

Pcy, Pin, Pfi

 

1

    

1

2

Total Plasmodium-positive

30

31

44

3

4

49

16

177 (64.1 %)

Total Plasmodium-negative

14

9

10

25

36

1

4

99 (35.9 %)

Total number of macaques

44

40

54

28

40

50

20

276 (100 %)

Pk P. knowlesi, Pcy P. cynomolgi, Pin P. inui, Pct P. coatneyi, Pfi P. fieldi

Table 2

Comparison of prevalence of species of Plasmodium in long-tailed macaques

Sample origin

Total number

No. Pk (χ2 Exp.)

% Pk

No. Pcy (χ2 Exp.)

% Pcy

No. Pin (χ2 Exp.)

% Pin

No. Pct (χ2 Exp.)

% Pct

No. Pfi (χ2 Exp.)

% Pfi

Year

Batangas, Philippines

28

0 (1)

0

3 (2)

10.7

0 (1)

0

1 (1)

3.6

0 (0)

0

2012

Zamboanga, Philippines

40

0 (1)

0

1 (2)

2.5

2 (1)

5

1 (1)

2.5

0 (0)

0

2012

Vanny, Cambodia

54

0 (12)

0

27 (22)

50

12 (12)

22.2

16 (8)

29.6

1 (2)

1.9

2011

Southern Sumatra

50

0 (13)

0

48 (23)

96

10 (12)

20

0 (8)

0

0 (2)

0

2010

Guidong/Laos

44

1 (7)

2.3

29 (12)

65.9

0 (6)

0

0 (4)

0

1 (1)

2.3

2013

Bintan Island, Indonesia

20

0 (5)

0

13 (8)

65

5 (4)

25

1 (3)

5

2 (1)

10

2007

Singapore

40

0 (8)

0

26 (15)

65

5 (8)

12.5

2 (5)

5

4 (1)

10

2007

Total

276

1

0.4

147

53.3

34

12.3

 

20.4

12

3.4

 

Sarawak, Malaysian Borneo [21]

82

71 (54)

86.6

52 (99)

63.4

69 (51)

84.1

52 (35)

63.4

4 (9)

4.9

2011

Sabah, Malaysian Borneo [26]

26

4 (4)

15.4

3 (7)

11.5

8 (4)

30.8

1 (2)

3.8

1 (1)

3.8

2014

Singapore [22]

157

45 (21)

28.7

40 (39)

25.5

1 (20)

0.6

2 (14)

1.3

11 (4)

7

2011

Hulu Selangor, Malaysia [20]

70

21 (17)

30.0

18 (31)

25.7

23 (16)

32.9

16 (11)

22.9

1 (3)

1.4

2015

Kuala Lumpur and Selangor, Malaysia [27]

41

0

0

2008

Kuala Lipis, Pahang, Malaysia [27]

75

10

13.3

2008

Thailand [25]

195

1

0.5

7

3.6

3

1.5 %

0

0

2010

Thailand [24]

105

0

0

2008

Indonesia [26]

N/A

N/A

3.2 %

2007

The figures in brackets are expected number of infections estimated by Chi square test under the assumption of “Plasmodium parasite prevalence independent from the geographic location”

Pk P. knowlesi, Pcy P. cynomolgi, Pin P. inui, Pct P. coatneyi, Pfi P. fieldi, No number, χ 2 Exp. Chi square test expected values, not done, N/A not available

The P value for the Fisher exact test is 10−7, indicating that the observed geographical distribution of Plasmodium infection is extremely unlikely under the null hypothesis; i.e., the prevalence of each species of Plasmodium exhibits bias among different geographic locations.

According to the comparison between observed number of infected macaques with what is expected by the Chi square test under the null hypothesis (Table 2), P. inui and P. fieldi both exhibited relatively uniform distributions over geographical locations. The prevalence of P. knowlesi and P. cynomolgi in macaques from Sarawak is higher and lower, respectively than all other sites. The prevalence of P. knowlesi in macaques from all other locations is lower than expected. A much higher prevalence of P. cynomolgi in the macaque samples from Southern Sumatra and Singapore was also observed, along with relatively higher prevalence of P. coatneyi in macaques from Sarawak and Cambodia, and lower prevalence of P. coatneyi in macaques from Sumatra and Laos. Macaques from Bintan Island and Singapore, two locations in close geographical proximity, showed close similarities in the infection profiles. In addition, the prevalence for all Plasmodium species were unusually low in the macaques from the Philippines compared to those from other geographic regions.

Only one sample from Laos was positive for P. knowlesi. The nested PCR assay with P. knowlesi-specific primers gave a similar result for this sample when the assay was repeated, using new nest 1 and nest 2 PCR amplifications. The sequence of the SSU rRNA gene fragment amplified in the nested PCR assay was aligned and compared with Plasmodium SSU rRNA sequences in GenBank [21]. It was identical with the sequence of the S-type SSU rRNA gene of P. knowlesi isolate KH33, and 99.6 % similar with sequences from P. knowlesi isolates KH50, KH96, KH107, KH43 and KH 131. Phylogenetic analysis confirmed that the macaque from Laos was infected with P. knowlesi (Fig. 2).
Fig. 2

Phylogenetic tree based on the SSU rRNA genes of Plasmodium species produced by the Neighbor-joining method. Accession numbers for each species of Plasmodium are stated within brackets; Only bootstrap values above 70 % are shown; ‘S-type’ = sexually transcribed form and ‘A-type’ = asexually transcribed form

Discussion

Long-tailed macaques are widely distributed in both suburban areas and dense forests in Southeast Asia [15]. Historically and culturally, long-tailed macaques particularly have an extensive interface with humans, especially locals who share spatial overlap with them and also tourists who come in contact with them. The close contact and geographic range overlap between humans and long-tailed macaques introduce to both species a situation of mutual disease transmission. Humans in Southeast Asian countries who are naturally exposed to long-tailed macaques are at potential risks of being infected with a number of simian pathogens, including simian T cell lymphotropic viruses (STLV), simian retrovirus (SRV), Macacine herpesvirus 1 (B virus), and the zoonotic malarias [3538]. Understanding the distribution patterns of macaques that carry malaria parasites especially the ones transmissible to humans facilitates an effective assessment of this human health threat.

The present study demonstrates that two macaque malaria parasites naturally transmissible to humans, P. cynomolgi, and P. inui, exist among all the 7 sampled regional populations of wild long-tailed macaques. Specifically, P. cynomolgi showed distinctively and uniformly high prevalence in the macaques, except for the two populations from the Philippines. The low prevalence of Plasmodium in macaques from Zamboanga in the southern Philippines and Batangas in the northern Philippines does not suggest that host genetic differences are responsible, because long-tailed macaques in the latter geographic region are assigned to a uniquely different subspecies (M. f. philippensis) than those (M. f. fascicularis) inhabiting all other regions studied [29]. It is only recently confirmed that P. cynomolgi can also be transmitted to humans naturally and thus represents a potential new zoonotic malaria [14]. The observation of the high prevalence of P. cynomolgi in macaques from this study indicates the strong need of public advocacy in the affected areas.

A complex nature of Plasmodium infections in natural hosts was noted in this study. Among the 177 malaria-positive macaques, 18.1 % were each found to have multiple (double and triple) Plasmodium species infections. More multiple infections, including co-infections with four or five species of Plasmodium in each long-tailed macaque were reported in other studies [19, 20]. This complex nature of infections represents challenges for accurate identification by microscopy, as well as a potential underestimation of prevalence and distribution of Plasmodium parasites in macaques and other primates.

In previous studies, it was shown that in peri-domestic and urban areas of Singapore, Peninsular Malaysia, and Thailand, the parasitaemia and the presence of Plasmodium infections in free-ranging macaques were low or zero, hypothetically due to the absence or limited presence of known competent vectors of malaria parasites [17, 25, 39]. A comparison with multiple studies using molecular methods to detect Plasmodium infections in macaques from other locations indicates that the prevalence of malaria and of the different species of Plasmodium vary according to the sampling site, even on a small island like Singapore [1820, 2226]. Comparing the Singaporean samples screened from this study, which were collected from 2007, with the Singaporean samples reported from 2011 [20], there was a decrease in the prevalence of P. knowlesi infection. The exact location from where the macaques were trapped in Singapore is not known for the current study and the differences in the prevalence of P. knowlesi between the two studies could be due to different sampling locations in Singapore. In addition, in a study conducted in Sabah, Malaysian Borneo, Fornace et al. [40] have shown spatial heterogeneity in P. knowlesi incidence depending on the land type. They found that the incidence of P. knowlesi varied between village, forests, and historical forest loss areas, which further indicates that environmental changes influence the transmission of P. knowlesi. More recently, Moyes and co-workers used a newly developed incidence–environment assessment model to investigate the distributions of reservoir hosts and Anopheline vectors of P. knowlesi in Southeast Asia and assessed their relationships with the environment [41]. Their analyses showed that the predicted distribution of both the long-tailed macaques and vectors of knowlesi malaria encompassed a wide range of habitats, most significantly in the northern part of their study area which included Myanmar, Thailand, Laos, Cambodia and Vietnam. These recent studies highlight that environmental variables possibly are the key driving force in determining the distribution of Plasmodium parasites.

It has been noted that the parasitaemia of malaria parasites in a human or non-human primate host could change on a daily basis [2]. Because the DNA samples used in this study were from single time points, further studies are warranted to investigate and follow up the change of infections over time in macaques.

The detection of P. knowlesi infection from a long-tailed macaque from Laos is the first report of P. knowlesi infection in either humans or macaques in that country. This finding should encourage further investigations of P. knowlesi using molecular detection methods among macaques and humans in Laos.

Conclusions

The prevalence of malaria parasites that naturally infect long-tailed macaques, including those that are transmissible to humans, varies among regional populations of wild long-tailed macaques in Southeast Asia. Plasmodium cynomolgi, which can be naturally acquired by humans, exists in all wild long-tailed macaque populations studied with varying prevalence. This is the first report of a natural infection of P. knowlesi in a macaque from Laos. The presence of malaria parasites underscores the risk of potential zoonotic infections in the local human populations.

Abbreviations

PCR: 

Polymerase chain reaction

Nest1: 

Nested PCR amplification round 1

Nest2: 

Nested PCR amplification round 2

SSU rRNA: 

Small subunit ribosomal RNA

STLV: 

Simian T cell lymphotropic viruses

SRV: 

Simian retrovirus

Declarations

Authors’ contributions

XZ, BS and DGS conceived the study, interpreted the data, and wrote the paper. XZ conducted laboratory experiments, and performed data analysis. LFQ assisted XZ and conducted laboratory experiments. KAK provided plasmid control samples, detailed laboratory protocols and analyzed the data. JV provided samples from Singapore and Bintan Island. HD provided samples from Laos/Guidong. PH provided all remaining samples. All authors read and approved the final manuscript.

Acknowledgements

The authors thank Dr. Mark Grote at Department of Anthropology at University of California Davis for excellent statistical analysis support and Joshua Noyer for map design. We also thank support from the DNA Sequencing Facility at UC Davis.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The DNA sequence data obtained for this research are available in GenBank with Accession number: KU693334.

Consent for publication

All authors have seen and approved the manuscript and its contents, and agreed to submission for publication.

Ethics approval and consent to participate

Approval for this study was provided by the Institutional Animal Care and Use Committee (IACUC: Protocol #18684) of University of California Davis.

Fundings

This research was financially supported by NIH Grants RR005090 and RR025781, and a grant from University Malaysia Sarawak (01[TD03]/1003/2013[01]).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Anthropology, University of California Davis
(2)
Malaria Research Centre, Universiti Malaysia Sarawak
(3)
Unit for Laboratory Animal Medicine, University of Michigan Medical School
(4)
Primate Products, Inc.
(5)
School of Bioscience and Bioengineering, South China University of Technology

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