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Article

Molecular Surveillance for Vector-Borne Bacteria in Rodents and Tree Shrews of Peninsular Malaysia Oil Palm Plantations

by
Siti Nurul Izzah Mohd-Azami
1,2,
Shih Keng Loong
1,*,
Jing Jing Khoo
3,
Nurul Aini Husin
1,2,
Fang Shiang Lim
1,
Nur Hidayana Mahfodz
1,
Siti Nabilah Ishak
4,5,
Farah Shafawati Mohd-Taib
4,
Benjamin L. Makepeace
3 and
Sazaly AbuBakar
1
1
Tropical Infectious Diseases Research & Education Centre (TIDREC), Higher Institution Centre of Excellence, Universiti Malaya, Kuala Lumpur 50603, Malaysia
2
Institute for Advanced Studies (IAS), Universiti Malaya, Kuala Lumpur 50603, Malaysia
3
Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool L3 5RF, UK
4
Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
5
Kuantan Fisheries Biosecurity Centre, Department of Fisheries Malaysia, Kuantan 25100, Malaysia
*
Author to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2023, 8(2), 74; https://doi.org/10.3390/tropicalmed8020074
Submission received: 8 December 2022 / Revised: 16 January 2023 / Accepted: 16 January 2023 / Published: 19 January 2023
(This article belongs to the Section Vector-Borne Diseases)
Browse Figures
Versions Notes

Abstract

:
Many human clinical cases attributed to vector-borne pathogens are underreported in Malaysia, especially in rural localities where healthcare infrastructures are lacking. Here, 217 small mammals, consisting of rodents and tree shrews, were trapped in oil palm plantations in the Peninsular Malaysia states of Johor and Perak. Species identification was performed using morphological and DNA barcoding analyses, and 203 small mammals were included in the detection of selected vector-borne bacteria. The DNA extracted from the spleens was examined for Orientia tsutsugamushi, Borrelia spp., Bartonella spp. and Rickettsia spp. using established PCR assays. The small mammals collected in this study included Rattus tanezumi R3 mitotype (n = 113), Rattus argentiventer (n = 24), Rattus tiomanicus (n = 22), Rattus exulans (n = 17), Rattus tanezumi sensu stricto (n = 1) and Tupaia glis (n = 40). Orientia tsutsugamushi, Borrelia spp. and Bartonella phoceensis were detected in the small mammals with the respective detection rates of 12.3%, 5.9% and 4.9%. Rickettsia spp., however, was not detected. This study encountered the presence of both Lyme disease and relapsing fever-related borreliae in small mammals collected from the oil palm plantation study sites. All three microorganisms (Orientia tsutsugamushi, Borrelia spp. and Bartonella phoceensis) were detected in the R. tanezumi R3 mitotype, suggesting that the species is a competent host for multiple microorganisms. Further investigations are warranted to elucidate the relationships between the ectoparasites, the small mammals and the respective pathogens.

1. Introduction

Peridomestic small mammals such as rodents and scandentids (tree shrews) are ubiquitously found in the tropics [1]. These animals are recognized as the hosts of various zoonotic diseases that pose a serious threat to humanity [2]. In addition to having short life cycles, different species of rodents can be found in sympatry due to their synanthropic behavior. As such, it is anticipated that the increase in contact between humans and rodents may promote pathogen transmission in human- dominated habitats [3]. In fact, vector-borne bacteria such as Bartonella spp., Borrelia spp., Orientia tsutsugamushi and Rickettsia spp. have become a health concern in Southeast Asia as they are increasingly implicated in human infections [2,4].
Diseases caused by the O. tsutsugamushi (scrub typhus), Borrelia spp. (Lyme disease and relapsing fever), Rickettsia spp. (typhus and spotted fevers) and Bartonella spp. (cat scratch disease and trench fever) commonly manifest as undifferentiated fever with headaches and malaise [5,6,7,8]. Some of these diseases can be complicated and fatal if they are not promptly treated [9,10]. Risk factors for these diseases appear to be associated with the presence of animal hosts (e.g., rodents), location (more prevalent in rural and forested areas), seasonality and climate, as well as certain occupations and human behaviors [11,12,13]. Exposures to pathogens causing these diseases have been detected among the Orang Asli (indigenous people) of Peninsular Malaysia [9,14]. Their settlements near or within forested areas and their lifestyle of forest foraging and hunting for wildlife increase their risk of exposure to zoonotic and vector-borne pathogens [15,16,17].
One of the major factors influencing the risk of vector-borne pathogens is attributed to changes in land use [18]. The increasing demand for palm oil had led to the development of new plantations on previously forested lands. However, this trend was curtailed by the Malaysian government’s pledge to maintain at least 50% forest cover in Peninsular Malaysia [19]. Nevertheless, many plantations are already sharing borders with forests and even residential areas [3]. This allows animals, especially peridomestic animals, to roam freely between the forest, plantations and human habitations, potentially contracting, harboring and transmitting diseases to humans living and working in such areas.
Despite the economic contribution of the palm oil industry to the development of Malaysia, very little is known about the effects of vector-borne diseases carried by peridomestic animals on humans living and working in these plantations. This is compounded by the fact that diseases caused by O. tsutsugamushi, Borrelia spp., Bartonella spp. and Rickettsia spp. have undifferentiated symptoms compared to the more commonly reported infections such as dengue fever [10,20]. Hence, there is an urgency to investigate the role of peridomestic animals in the transmission of vector-borne pathogens to better understand the dynamics of disease transmission at the oil palm plantation–human habitation interface. The overall objective of the present study was to determine the presence of selected vector-borne bacteria (O. tsutsugamushi, Borrelia spp., Bartonella spp. and Rickettsia spp.) in rodents and tree shrews sampled from two oil palm plantations in Peninsular Malaysia.

2. Materials and Methods

2.1. To Identify the Rodent and Tree Shrew Species Available at Oil Palm Plantations

Archived specimens from the Tropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya were utilized in this study. They consisted of tissues of small mammals from two sampling sites, viz. at UM Plantations Sdn. Bhd., Johor (an oil palm plantation) and Kampung Tumbuh Hangat, Perak (oil palm plantation bordering paddy fields and human settlements). These samples were collected at different times between December 2018 and December 2019 [21]. Ethical approval was obtained from the Universiti Malaya Institutional Animal Care and Use Committee (G8/01082018/24052018-01/R) and permission to conduct the study at Kampung Tumbuh Hangat, Perak was granted by the Department of Orang Asli Development (JAKOA), Malaysia (JAKOA/PP.30.052Jld13 (32)). Approval for small mammal trapping was also received from the University of Liverpool’s Animal Welfare and Ethics Review Body with reference no. AWC0127.
All small mammals captured were initially identified using morphological analysis [22]. Subsequently, tree shrew and rodent DNA barcoding was performed on DNA extracted from their spleens and other organs. Extracted rodent and tree shrew DNA was subjected to a polymerase chain reaction (PCR) targeting the cytochrome c oxidase I (COI) gene to determine the rodent and tree shrew species group [23]. The organs were stored at −80 °C immediately after harvesting and the extracted DNAs were aliquoted into three tubes to avoid multiple freeze-thawing. The primers used are listed in Table 1. Positive controls used were genomic DNAs of O. tsutsugamushi strain UT176 received from University of Liverpool, United Kingdom, and Rickettsia roultii strain established from a tick cell line in TIDREC. Long oligo DNAs were synthesized for the positive controls of Borrelia spp. and Bartonella spp. The positive control fragments of the flagellin gene, flaB and the citrate synthase gene, gltA were obtained from Borrelia burgdorferi NC001318.1 (501 bp) and Bartonella quintana NC005955 (410 bp), respectively. Nuclease-free water was the negative control used in PCR protocols.
The remaining COI amplicons (approximately 20 µℓ each) were purified and subsequently sequenced (Apical Scientific Sdn. Bhd., Seri Kembangan, Malaysia). The DNA sequences obtained were trimmed and compared to those available in GenBank using the Basic Local Alignment Search Tool (BLAST). Each identified species was deposited into the GenBank accordingly.

2.2. To Detect the Presence of Vector-Borne Bacteria in the Rodents and Tree Shrews Captured in Oil Palm Plantations

About 10 mg of each spleen tissue of the rodents and tree shrews was subjected to DNA extraction following the NucleoSpin® Tissue Extraction Kit (Macherey-Nagel, Düren, Germany) protocol. The extracted genomic DNA was utilized to amplify genes specific for O. tsutsugamushi, Borrelia spp., Bartonella spp. and Rickettsia spp. The types of surface antigen 47 kDa gene TSA47 specific to O. tsutsugamushi [24] and flaB specific to the Borrelia spp. [25] were amplified according to previously published protocols. The detection of Bartonella spp. and Rickettsia spp. followed two different PCR protocols that target gltA [26,27,28]. Primers used in the present study are listed in Table 1.
The PCR-positive DNA samples for O. tsutsugamushi and Borrelia spp. were further subjected to multi-locus sequence typing (MLST) following the protocols for Borrelia spp. [29] and O. tsutsugamushi [30]. These protocols are available at their respective PubMLST databases (https://pubmlst.org/organisms/borrelia-spp (accessed on 13 October 2021) and https://pubmlst.org/organisms/orientia-tsutsugamushi (accessed on 13 October 2021). All obtained amplicons were purified and subsequently sequenced in both directions by a third party (Apical Scientific Sdn. Bhd., Malaysia). The DNA sequences obtained were trimmed and compared to those available in GenBank and PubMLST.
Table
Table 1. Primers used for DNA barcoding and pathogen detection.
Table 1. Primers used for DNA barcoding and pathogen detection.
OrganismTargetPrimerOligonucleotide Sequence (5′-3′)Amplicon Size (bp)Reference
RodentsCOIBatL5310 a,cACTTCTGGGTGTCCAAAGAATCA726[23]
  R6036R b,cCCTACTCRGCCATTTTACCTATG  
Orientia tsutsugamushiTSA47Ot-145F aACAGGCCAAGATATTGGAAG871[24]
  Ot-1780R bAATCGCCTTTAAACTAGATTTACTTATTA  
  Ot-263F a,cGTGCTAAGAAARGATGATACTTC821 
  Ot-1133R b,cACATTTAACATACCACGACGAAT  
Bartonella spp.gltABhCS.781p a,cGGGGACCAGCTCATGGTGG379[28]
  BhCS.1137n b,cAATGCAAAAAGAACAGTAAACA  
Borrelia spp.flaBBflaPAD aGATCARGCWCAAYATAACCAWATGCA800[25]
  BflaPDU bAGATTCAAGTCTGTTTTGGAAAGC  
  BflaPBU a,cGCTGAAGAGCTTGGAATGCAACC345 
  BflaPCR b,cTGATCAGTTATCATTCTAATAGCA  
Rickettsia spp.gltACS1d a,cATGACTAATGGCAATAATAA889[26]
  CS890r b,cGCTTTIAGCTACATATTTAGG 
  CS-239 a,cGCTCTTCTCATCCTATGGCTATTAT830[27]
  CS-1069 b,cCAGGGTCTTCGTGCATTTCTT  
a—Forward primer, b—reverse primer, c—sequencing primer.

2.3. To Determine the Genetic Relatedness of the Detected Bacteria to Well-Characterized Counterparts

Following bacteria identification using the BLAST tool, the primer-trimmed sequences of the respective targeted genes were aligned using CLUSTALW, as implemented in MEGAX [31]. All positions containing gaps and missing data were eliminated (complete deletion option). Phylogenetic relationships of the pathogens detected in this study were presented in phylogenetic trees using the Bayesian Markov Chain Monte Carlo (MCMC) approach, as implemented in BEAST 1.10.4 [32]. The Hasegawa–Kishono–Yano (HKY) model with the Gamma site (HKY + G) was selected for all the targeted genes using the Bayesian Information Criterion (BIC) as implemented in MEGA11 [33]. The analysis was performed under a strict molecular clock model with an MCMC chain length of 5 million samplings every 1000 generations. The resulting MCMC trace file was analyzed and visualized using Tracer Version 1.7.1 (Institute of Evolutionary Biology, University of Edinburgh, UK) [34]. The maximum clade credibility (MCC) tree was produced using TreeAnnotator 1.10.4 (Institute of Evolutionary Biology, University of Edinburgh, UK) and visualized using the Interactive Tree of Life (iTOL) (https://itol.embl.de/itol.cgi (accessed on 29 December 2022). A pairwise comparison analysis, as implemented in MEGA11, was conducted for the O. tsutsugamushi sequences obtained after the phylogenetic analyses were completed.

3. Results

3.1. Distribution of Small Mammal Species

The morphological identification conducted on the tree shrews (n = 40) resulted in the identification of a single species, Tupaia glis. The DNA barcoding revealed the identification of five separate rodent species: Rattus tanezumi R3 mitotype (n = 113), Rattus argentiventer (n = 24), Rattus tiomanicus (n = 22), Rattus exulans (n = 17) and Rattus tanezumi sensu stricto (s.s.) (n = 1) (Table 2).
The R. tanezumi R3 mitotype (n = 113, 52.1%) predominated in both sites followed by T. glis (n = 40, 18.4%), R. argentiventer (n = 24, 11.1%), R. tiomanicus (n = 22, 10.1%), R. exulans (n = 17, 7.8%) and R. tanezumi s.s. (n = 1, 0.5%). Both sites had a similar number of small mammals trapped. In Johor, T. glis (n = 33) outnumbered R. tiomanicus (n = 13) and R. exulans (n = 3), while R. tanezumi s.s and R. argentiventer were not found. In Perak, R. tanezumi s.s. was solely found in the paddy field, while R. tiomanicus and T. glis were absent there. Additionally, R. argentiventer was absent in the residential areas. Out of the 217 trapped animals, 105 of them were females and 112 of them were males. The majority of the captured animals were mature adults (n = 148, 68.2%) and subadults (n = 41, 18.9%), followed by juveniles (n = 25, 11.5%); the age of the remaining 3 individuals could not be ascertained.
The R. tanezumi R3 mitotype was found in all habitats, but predominantly in the oil palm plantations. All the successful COI sequences of the rodents were deposited into the Barcode of Life Data Systems (BOLD) (http://boldsystems.org (accessed on 14 January 2022) under the project code UMNPA as described in a previous study [21].

3.2. PCR Detection of Bacteria in Small Mammals

The DNA extracted from the spleens of 203 small mammals (rodents, n = 163 and tree shrews, n = 40) was examined using the pathogen-specific PCR for the presence of O. tsutsugamushi, Borrelia spp., Bartonella spp. and Rickettsia spp. (Table 3). Rodent splenic tissues insufficient for DNA extraction were excluded from the study (n = 14). The PCR assays targeted the TSA47 gene for O. tsutsugamushi, the gltA gene for Bartonella spp. and Rickettsia spp. and the flaB gene for Borrelia spp. Overall, 12.3% (25/203) of the small mammals were positive for the presence of O. tsutsugamushi followed by Borrelia spp. at 5.9% (12/203) and Bartonella phoceensis at 4.9% (10/203). Rickettsia spp., however, was not detected in any specimen.
The bacteria detection rate was higher in Perak (15.8%) compared to Johor (7.4%). Orientia tsutsugamushi was detected in all small mammal species except for R. tanezumi s.s. Borrelia spp. was detected in four species but not for R. tanezumi s.s. and R. argentiventer, while B. phoceensis was detected only in the R. tanezumi R3 mitotype and R. argentiventer. Orientia tsutsugamushi was detected most frequently in the R. tanezumi R3 mitotype at both study sites (Perak, n = 11; Johor, n = 7) (Table 3). Bartonella phoceensis and Borrelia spp. were the second most detected bacteria in Perak (n = 9) and Johor (n = 4). Furthermore, there were four individuals co-infected with B. phoceensis and O. tsutsugamushi, with three from Perak and one from Johor.

3.3. Sequence Analyses of the Detected Bacteria

3.3.1. Orientia tsutsugamushi

Phylogenetic analyses of the 825 bp sequences from the O. tsutsugamushi TSA47-positive specimens grouped all of them together with two strains reported in Thailand (UT176 and TA763) at 0.95 posterior probability (PP) (Figure 1). Sequences from the current study (UM-SNI36 and UM-SNI40) clustered with the O. tsutsugamushi strain TA763 (1.00 PP). The remaining 23 specimens that were clustered with the O. tsutsugamushi strain UT176 (0.98 PP) had pairwise distances ranging from 0 to 1.61% between them. Out of seven genes from the O. tsutsugamushi MLST scheme, we only managed to amplify the succinyl-CoA synthetase (sucD) and pyruvate phosphate dikinase precursor (ppdK) genes from one R. tanezumi R3 mitotype host. These sequences, however, could not be deposited into the PubMLST database for O. tsutsugamushi as there were several polymorphic double peaks in the respective chromatograms (Supplementary Figures S1 and S2). Subsequent BLASTn analyses based on the most dominant chromatogram signals revealed that the amplified ppdK and sucD sequences were identical to O. tsutsugamushi isolate Karp (Accession no. LS398548.1) at 100% and the O. tsutsugamushi strain Wuj/2014 (Accession no. CP044031.1) at 98.9% identities, respectively.

3.3.2. Borrelia spp.

The borrelial flaB sequences generated from this study were segregated into two clusters, one with members of the Lyme disease-related (LD) borreliae and the other with members of the relapsing fever-related (RF) borreliae (Figure 2), consistent with previous reports [35,36,37]. A third cluster whose members did not belong to the former two groups was also included in the analysis, but none of our specimens clustered with this group. Both LD and RF borreliae were detected in specimens collected from both study sites (Figure 2). LD borreliae were only detected in the R. tanezumi R3 mitotype (n = 4) captured in Perak and Johor. In contrast, the RF borreliae were detected in several species such as the R. tanezumi R3 mitotype (n = 4), R. tiomanicus (n = 1) and T. glis (n = 1) captured in Perak and T. glis captured in Johor (n = 1) (Table 3).
A closer observation of the RF borreliae obtained from this study suggested that they form a sister clade independent of the other RF borreliae strains. This clade includes the unculturable Borrelia spp. detected in Malaysia (Accession nos. LT671677.1 and LR742718.1) and Japan (Accession nos. LC170024.1 and LC170030.1) (Figure 2). Conversely, the LD borreliae topology showed that most of our specimens clustered with Borrelia yangtzensis and Borrelia valaisiana genospecies group members reported from other Asian countries.
One specimen (UM-SNI15) was clustered with various strains of B. burgdorferi, including the B. burgdorferi sensu stricto (s.s.) strains B31 and 20004, isolated from Ixodes spp. ticks in the USA and France, respectively [38,39]. A novel clpA allele (Allele 310) was obtained following the Borrelia spp. MLST scheme but the other genes failed to be amplified. The successfully amplified specimen for MLST was collected from one R. tanezumi R3 mitotype from Johor (UM-SNI18). It was found to be genetically related to B. yangtzensis (Accession no. LC572085.1) at 98.63% identity.
Notably, specimen UM-SNI19 was separately distinct from all other groups, forming a sister clade next to the other LD borreliae members with less than 0.7 PP. BLASTn analysis showed that UM-SNI19 has less than 90% identity to both LD and RF borreliae.

3.3.3. Bartonella spp.

BLAST analyses of the amplified sequences specific to the gltA of Bartonella spp. revealed that all the specimens were positive for B. phoceensis with 99–100% similarities. The phylogenetic tree displayed the clustering of the specimens from this study into one clade together with B. phoceensis representatives from different geographical locations and separate from the other Bartonella spp. (Figure 3).

4. Discussion

In the present study, small mammals (rodents and tree shrews) trapped in two locations, Johor and Perak, were studied for the presence of selected vector-borne bacteria (O. tsutsugamushi, Borrelia spp., Bartonella spp. and Rickettsia spp.) by the PCR amplification of pathogen-specific genes. The dominant ecotype in both study sites was the oil palm plantation. Five rodent (R. tanezumi R3 mitotype, R. exulans, R. tiomanicus, R. argentiventer and R. tanezumi s.s.) species and one tree shrew (T. glis) species were found in the study sites. Orientia tsutsugamushi, LD and RF borreliae and B. phoceensis were detected in most of the small mammals except for R. tanezumi s.s. (n = 1), while Rickettsia spp. was not detected at all.
Orientia tsutsugamushi has been detected in small mammal species across Southeast Asia (reviewed in [40]), and detection was usually based on bacteria isolation or serology [41,42,43,44,45,46,47,48]. However, more recent efforts focused on PCR assays targeting the TSA47 gene for O. tsutsugamushi detection as they are more sensitive and the products can be sequenced to provide genetic information [49,50,51,52]. In the present study, O. tsutsugamushi was detected in 12.3% of the small mammals. This detection rate was higher than in a previous study that detected it in only about 1% of small mammals captured from eight different states in Malaysia [50]. Another study employing the PCR detection of O. tsutsugamushi in rodents captured near the Selangau Health Center, Sarawak, Malaysia, did not yield any positive results [53]. The highest prevalence to our knowledge was the 20% O. tsutsugamushi–positive detection in the liver and spleen of rodents sampled in Si Racha, Chonburi province, Thailand [47]. Apart from that, most studies resulted in very low O. tsutsugamushi infection rates ranging from 0.7 to 2.3%, as compared to our study. Those studies also employed the PCR method, but they were detecting the pathogen in different tissues (e.g., kidneys) as opposed to spleen, which could explain the differences in detection rates [46,54,55,56]. Multiple vector-borne pathogens have been detected in the spleen as opposed to other tissues, making the spleen the targeted tissue in the present study [57].
In contrast to our phylogenetic tree in Figure 1, the UT176 strain has been reported as the Karp sub-genotype with TA763 as a separate genotype based on the TSA56 genotyping [49]. In Thailand, eight clades have been known to circulate, viz. Karp, Kato, Gilliam, TA678, TA686, TA716, TA763 and TH1817 since the 1960s [51,58,59]. In addition, an epidemiology study revealed that at least five genotypes were circulating in Cambodia and three in Vietnam [60]. During inspection of the TSA47 sequencing chromatograms, we noticed double peaks (i.e., two different bases) at some nucleotide positions. However, those sequences were excluded from the analyses in this study.
A majority of O. tsutsugamushi surveys in small mammals were conducted in Thailand. These studies reported the positive detection of O. tsutsugamushi in the Rattus rattus complex, Bandicota indica, T. glis, R. tanezumi, Rattus andamanensis, R. exulans, Mus cookii, Rattus nitidus, Bandicota savilei, Berylmys berdmorei, Berylmys bowersi, Leopoldamys edwardsi and Rattus sp. phylogenetic clade 3, as well as chiggers associated with small mammals [42,46,47,55,56,61]. In Vietnam, O. tsutsugamushi was detected in Rattus flavipectus [61] and Rattus norvegicus [62] suggesting that rodents and tree shrews are potential competent reservoirs for O. tsutsugamushi.
A recent study reported the detection of O. tsutsugamushi in chiggers parasitizing R. rattus and Tupaia sp. in Malaysia, albeit from a different state, Kelantan [63]. The animal hosts were trapped in areas near the house of a scrub typhus patient, surrounded by mixed ecologies such as shrubs, coconut, fruit and sugar cane orchards. The study also reported that two of sixteen pools of Leptotrombidium deliense mites (12.5%) tested positive for O. tsutsugamushi [63]. Chaisiri et al. [54] reported that O. tsutsugamushi-infected rodents in Thailand were also obtained from similar ecotypes such as forested and reforestation areas, fallows, cassava plantations and rice fields. Although the main ecotype covered in our study was the oil palm plantation, there were rice fields and residential areas near the Perak study site. Our previous ecological analysis of O. tsutsugamushi infection in the same rodents analyzed in the current study concluded that neither habitat nor season was significantly associated with infection, although infection prevalence was highest in oil palm plantations compared with peripheral habitats [64]. This lack of statistically significant ecological effects may be due to the long duration of O. tsutsugamushi infection in small mammals or high reinfection rates coupled with their movement between adjacent habitats [40]. In Johor, the O. tsutsugamushi infection of small mammals was positively associated with a Malaysian endemic vector, Leptotrombidium arenicola, although no significant relationship between any chigger species and O. tsutsugamushi infection in Perak was apparent [64].
Orientia tsutsugamushi was detected in all small mammal species collected from this study except for R. tanezumi s.s., and this can be explained as R. tanezumi s.s. has been shown to be an incidental rodent species in oil palm plantations in Malaysia [65]. The two synanthropic species, R. exulans and the R. tanezumi R3 mitotype, live in close association with humans [66,67,68]. From our findings, both species were found to carry O. tsutsugamushi. The current study also detected O. tsutsugamushi TSA47 sequences similar to the O. tsutsugamushi isolated from scrub typhus patients [49,69,70]. This was congruent to studies reporting the infection of O. tsutsugamushi in febrile patients, healthy villagers and rubber estate workers from rural areas [71,72,73]. Moreover, polymorphic double peaks were observed in the chromatograms for ppdK and sucD (Supplementary Figures S1 and S2), suggesting the presence of more than one O. tsutsugamushi strain in the specimen. A similar observation was noted in scrub typhus patients; researchers found that some patients could be simultaneously infected with multiple O. tsutsugamushi strains [30]. Altogether, these studies imply the potential risk of scrub typhus being contracted by inhabitants or workers in the agriculture sector such as oil palm plantations, where there could be exposure to chiggers and small mammal hosts.
The RF borreliae from the present study were found to be closely related to the Borrelia sp. detected from Japanese sika deer (Cervus nippon) and its associated tick ectoparasite, Haemaphysalis longicornis) [74,75,76], a tick species not reported in Malaysia. Several strains from the present study also clustered with RF borreliae that were previously detected in Haemaphysalis hystricis collected from a wild boar [35] and a dog [77]. These findings suggest that both H. longicornis and H. hystricis might harbor closely related borrelial strains. Our study presented evidence of the detection of RF borreliae strains in Rattus spp. rodents and T. glis. The majority of RF borreliae strains in this study were detected in Perak. In Thailand, a previous study reported the detection of RF borreliae in rodents (Rattus spp., B. indica, Niviventer spp., Leopoldamys sabanus, Crocidura fuliginosa, Mus caroli and M. cookii) and ticks (Haemaphysalis bandicota, Rhipicephalus sanguineus, Ixodes granulatus and Dermacentor spp.). They were closely related to Borrelia theileri, Borrelia lonestari and Borrelia miyamotoi [56,78]. Borrelia crocidurae, the causative agent of tick-borne relapsing fever in West Africa, was commonly detected in small mammals, suggesting their importance in the disease epidemiology [79,80]. Small mammals were also reported as potential reservoirs for B. miyamotoi, another RF borreliae, in different geographical regions including Malaysia [25,81,82]. The findings from our study add to the evidence of the role of small mammals, especially the Rattus spp. rodents and T. glis, in the ecology and maintenance of the identified RF borreliae in the studied areas. B. miyamotoi was previously assumed to be non-pathogenic until the first human infection was reported in Russia [83]. Although the currently identified RF borreliae strains have yet to be associated with human infections, increased surveillance is important as small mammal infestation is widespread in oil palm plantations, which may lead to eventual pathogen transmission to humans residing or working within the plantations.
To our knowledge, the data presented here are the first findings of borrelial sequences related to B. burgdorferi s.s. from rodents in Southeast Asia. Sequences related to B. burgdorferi s.s. were previously detected in the blood of a dog from Thailand [84]. Similarly, a sequence closely related to B. burgdorferi s.s. was detected in one rodent from Perak in the present study (UM-SNI15). Although the pathogen was detected in only one specimen, more surveillance effort is required to establish the presence of B. burgdorferi s.s. in Malaysia, and to identify the tick vector. While we only managed to sequence the clpA allele following the Borrelia spp. MLST scheme, a novel clpA allele 310 was assigned to it, indicating a novel Borrelia strain. The clpA allele 310 was most closely related to clpA allele 81 that belongs to B. yangtzensis ST360 (Supplementary Figures S3 and S4); these strains were isolated from the M. caroli rodent and I. granulatus tick in Japan [85]. B. yangtzensis and the related strains are commonly associated with rodents and tick ectoparasites. From this study, all strains closely related to B. yangzentsis were detected in Johor. In Malaysia, B. yangtzensis-related strains were first reported in I. granulatus ticks collected from Sundamys muelleri in a recreational forest [36,86]). Furthermore, a previous northern Thailand study reported the detection of B. yangtzensis in rodents and the associated Ixodes tick and chigger ectoparasites [56]. B. yangtzensis was also detected in rodents and their tick ectoparasites in China and Japan [87]. This indicates that B. yangtzensis-related strains are widespread in East and Southeast Asia. Additionally, the findings from our study included the R. tanezumi R3 mitotype as another potential host for the pathogen. Since B. yangtzensis is pathogenic to humans [88], our findings suggest that B. yangtzensis could put residents of oil palm plantations at risk of infection.
We were unable to ascertain the phylogenetic placement of one of the borrelial sequences (UM-SNI19) in this study. BLASTn analyses suggest that UM-SNI19 may be more closely related to the RF borreliae as the highest query cover and identity scores matched with members of the RF borreliae strains, even though a portion of the sequences also exhibited a high percentage of identity to a single member of the LD borreliae, Borrelia afzelii. Moreover, this strain contains a unique gap in the flaB sequences compared to other strains in the multiple sequence alignment provided in Supplementary Figure S5. These findings suggest that the UM-SNI19 Borrelia sp. may be a distinctive genotype based on the flaB sequences. However, investigation into more genes and more specimens will be necessary to confirm this observation.
The prevalence of B. phoceensis amongst the small mammals in this study (4.9%) was relatively low compared to a study by [89] in Sarawak, Malaysia. They found that approximately 25% of the total examined rodents were B. phoceensis-positive. Their study also found that the prevalence of B. phoceensis was lower in rural areas, concurring with our observations. The authors suggest that Bartonella spp. are less prevalent in rural areas due to the larger foraging habitats, discouraging contact between rodents, thus reducing Bartonella spp. transmission [89]. The detection of B. phoceensis among small mammals in Malaysia has previously been reported by Low et al. [90] and Asyikha et al. [91]. Bartonella phoceensis was found in small mammals captured from urban and rural areas, suggesting that the pathogen is prevalent in small mammal hosts from various habitats [89,90,91]. A separate study reported the detection of Bartonella spp. in the blood of several rodent species, including Rattus spp. [13], similar to the present study that detected B. phoceensis in the R. argentiventer and R. tanezumi R3 mitotype. Even though the pathogenicity of B. phoceensis to humans has not been established, the bacterium has been detected in mites, lice and ticks associated with rodents [92], suggesting the risk of transmission to humans. Additionally, four R. tanezumi R3 mitotypes from the Johor and Perak study sites were found to be co-infected with O. tsutsugamushi and B. phoceensis, compounding the transmission risk. Nevertheless, this finding is not surprising as rodents are frequently coinfected with multiple pathogens [45].

5. Conclusions

We report here the presence of O. tsutsugamushi, LD and RF borreliae and B. phoceensis amongst small mammals commonly found in oil palm plantations in Johor and Perak, Malaysia. Our findings include a potentially novel Borrelia genotype, and the first report of a Borrelia sp. closely related to B. burgdorferi s.s. in a rodent in this country. Orientia tsutsugamushi and B. phoceensis were detected together in four R. tanezumi R3 mitotype hosts, indicating the simultaneous presence of different pathogens in the rodents. The findings from this study suggest that O. tsutsugamushi, Borrelia spp. and B. phoceensis are prevalent among the small mammal populations. The fact that these animals are found in abundance in the oil palm plantation and can harbor multiple pathogens increases the risk of potential transmission to other animals, including humans, in the vicinity.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/tropicalmed8020074/s1. Figure S1: Positions with heterozygous double peaks in the sucD allele of Orientia tsutsugamushi, Figure S2: Positions with heterozygous double peaks in the ppdK allele of Orientia tsutsugamushi, Figure S3: Similarities of clpA allele 310 (Borrelia yangtzensis) with closely related clpA alleles in the PubMLST database, Figure S4: Borrelia yangtzensis ST360 strains deposited in the PubMLST database, Figure S5: The unique gap in the flaB sequences of Borrelia sp. strain UM-SNI19 (red box), compared to other borreliae strains, Table S1: The morphological information of small mammals trapped in Johor and Perak, Malaysia.

Author Contributions

Conceptualization, S.K.L., J.J.K., B.L.M. and S.A.; methodology, J.J.K.; validation, S.K.L.; formal analysis, S.N.I.M.-A., S.K.L.,N.A.H. and F.S.L.; investigation, S.N.I.M.-A., S.K.L., N.A.H., F.S.L., N.H.M., S.N.I., F.S.M.-T., B.L.M. and S.A.; resources, B.L.M. and S.A.; data curation, S.N.I.M.-A. and S.K.L.; writing—original draft preparation, S.N.I.M.-A., S.K.L. and J.J.K.; writing—review and editing, S.N.I.M.-A., S.K.L., J.J.K., B.L.M. and S.A.; visualization, S.K.L. and J.J.K.; supervision, S.K.L. and J.J.K.; project administration, B.L.M. and S.A.; funding acquisition, B.L.M. and S.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Higher Education, Malaysia with grant number: MO002-2019 and the Institutional Links grant, ID 332192305, under the Newton-Ungku Omar Fund partnership. The grant was funded by the UK Department of Business, Energy and Industrial Strategy (BEIS) and the Energy and Industrial Strategy and Malaysian Industry-Government Group for High Technology (MIGHT), and delivered by the British Council. A part of the research was also supported by the Universiti Malaya research grant: RU005-2020.

Institutional Review Board Statement

This research received approval from the Universiti Malaya Institutional Animal Care and Use Committee (protocol code: G8/01082018/24052018-01/R and date of approval: 1 August 2018), and the Department of Orang Asli Development (JAKOA) (protocol code: JAKOA/PP.30.052Jld13 (32) and date of approval: 2 April 2018). Approval for small mammal trapping was also received from the University of Liverpool’s Animal Welfare and Ethics Review Body with reference no. AWC0127.

Informed Consent Statement

Not applicable.

Data Availability Statement

The rodent (Rattus sp.) COI sequences generated in this study were deposited in the Barcode of Life Data System (BOLD) under the process IDs, UMNPA004-20 - UMNPA056-20, and UMNPA058-20 - UMNPA068-20 for rodents captured from Johor, and UMNPA069-20, UMNPA071-20 - UMNPA076-20, UMNPA078-20 - UMNPA080-20, UMNPA082-20 - UMNPA083-20, UMNPA085-20, UMNPA087-20 - UMNPA091-20, UMNPA093-20 - UMNPA102-20, UMNPA161-20 - UMNPA194-20, UMNPA196-20 - UMNPA216-20, and UMNPA218-20 - UMNPA223-20 for rodents captured from Perak. The Orientia-specific TSA47 gene amplicon sequences generated in this study were deposited in NCBI Genbank with accession numbers OP413403 - OP413427. The Borrelia-specific flaB gene amplicon sequences generated in this study were deposited in NCBI Genbank under the accession numbers OP375128 - OP375138 and OP537179. The Bartonella-specific gltA gene amplicon sequences generated in this study were deposited in NCBI Genbank with accession numbers OP375118 - OP375127. The clpA allele sequences for the Borrelia strain from this study can be accessed at the PubMLST database (https://pubmlst.org/organisms/borrelia-spp, accessed on 16 January 2023).

Acknowledgments

The authors would like to thank the Orang Asli community at Kampung Tumbuh Hangat, Perak, and the staff at the UM Plantations Sdn. Bhd. for their assistance in the field work. We would also like to acknowledge the contributions of administrative and technical staff from TIDREC, Universiti Malaya, Malaysia.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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Tropicalmed 08 00074 g001 550
Figure 1. Bayesian inference phylogenetic tree of O. tsutsugamushi based on the partial sequences (825 bp) of the TSA47 gene. Posterior probability (PP) is shown on the branches. Only PP > 0.7 are shown. Newly generated sequences are in bold text, with their accession numbers followed by the animal host species, location and strain name in parentheses. The reference sequences are labelled with their accession numbers followed by the host, location and O. tsutsugamushi strain in parentheses (some only contain partial information). The collapsed branch, consisting of the 23 new sequences from this study, clustered together with strain UT176 (Accession no. LS398547.1) at 0.98 PP.
Figure 1. Bayesian inference phylogenetic tree of O. tsutsugamushi based on the partial sequences (825 bp) of the TSA47 gene. Posterior probability (PP) is shown on the branches. Only PP > 0.7 are shown. Newly generated sequences are in bold text, with their accession numbers followed by the animal host species, location and strain name in parentheses. The reference sequences are labelled with their accession numbers followed by the host, location and O. tsutsugamushi strain in parentheses (some only contain partial information). The collapsed branch, consisting of the 23 new sequences from this study, clustered together with strain UT176 (Accession no. LS398547.1) at 0.98 PP.
Tropicalmed 08 00074 g001
Tropicalmed 08 00074 g002 550
Figure 2. Bayesian inference phylogenetic tree of Borrelia spp. based on the partial sequences (270–300 bp) of the flaB gene. Posterior probability (PP) is shown on the branches. Only PP > 0.7 are shown. Newly generated sequences are in bold text, with their accession numbers followed by the animal host species, location and strain name in parentheses. The reference sequences are labelled with their accession numbers followed by the host, location and Borrelia spp. strain in parentheses (some only contain partial information). LD = Lyme disease-related, RF = relapsing fever-related.
Figure 2. Bayesian inference phylogenetic tree of Borrelia spp. based on the partial sequences (270–300 bp) of the flaB gene. Posterior probability (PP) is shown on the branches. Only PP > 0.7 are shown. Newly generated sequences are in bold text, with their accession numbers followed by the animal host species, location and strain name in parentheses. The reference sequences are labelled with their accession numbers followed by the host, location and Borrelia spp. strain in parentheses (some only contain partial information). LD = Lyme disease-related, RF = relapsing fever-related.
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Tropicalmed 08 00074 g003 550
Figure 3. Bayesian inference phylogenetic tree of B. phoceensis based on the partial sequences (338 bp) of the gltA gene. Posterior probability (PP) is shown on the branches. Only PP > 0.7 are shown. Newly generated sequences are in bold text, with their accession numbers followed by the animal host species, location and strain name in parentheses. The reference sequences are labelled with their accession numbers followed by the host, location and Bartonella spp. strain in parentheses (some only contain partial information).
Figure 3. Bayesian inference phylogenetic tree of B. phoceensis based on the partial sequences (338 bp) of the gltA gene. Posterior probability (PP) is shown on the branches. Only PP > 0.7 are shown. Newly generated sequences are in bold text, with their accession numbers followed by the animal host species, location and strain name in parentheses. The reference sequences are labelled with their accession numbers followed by the host, location and Bartonella spp. strain in parentheses (some only contain partial information).
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Table
Table 2. The identification of small mammals trapped in Perak and Johor.
Table 2. The identification of small mammals trapped in Perak and Johor.
No.SpeciesTrapping SiteTotal Number of Individuals
Perak (n)Johor (n)
Residential AreasPaddy FieldOil Palm PlantationOil Palm Plantation
1.Rattus tanezumi R3 mitotype1424552113
2.Rattus tiomanicus2071322
3.Rattus exulans329317
4.Rattus tanezumi sensu stricto01001
5.Rattus argentiventer0213024
6.Tupaia glis3043340
Total number of individuals116101217
Table
Table 3. Vector-borne bacteria detected from the spleens of rodents and tree shrews.
Table 3. Vector-borne bacteria detected from the spleens of rodents and tree shrews.
LocationHost SpeciesDetected Vector-Borne BacteriaNumber of Positive Individuals (n)
PerakRattus tanezumi R3 mitotypeBartonella phoceensis8
  Orientia tsutsugamushi11
  Borrelia sp. (LD)1
  Borrelia sp. (RF)4
 Rattus exulansBorrelia sp. (undetermined)1
  Orientia tsutsugamushi2
 Rattus argentiventerBartonella phoceensis1
  Orientia tsutsugamushi2
 Rattus tiomanicusBorrelia sp. (RF)1
 Tupaia glisBorrelia sp. (RF)1
JohorRattus tanezumi R3 mitotypeBartonella phoceensis1
  Orientia tsutsugamushi7
  Borrelia sp. (LD)3
 Rattus tiomanicusOrientia tsutsugamushi1
 Tupaia glisOrientia tsutsugamushi2
  Borrelia sp. (RF)1
LD = Lyme disease-related; RF = relapsing fever-related.
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Mohd-Azami, S.N.I.; Loong, S.K.; Khoo, J.J.; Husin, N.A.; Lim, F.S.; Mahfodz, N.H.; Ishak, S.N.; Mohd-Taib, F.S.; Makepeace, B.L.; AbuBakar, S. Molecular Surveillance for Vector-Borne Bacteria in Rodents and Tree Shrews of Peninsular Malaysia Oil Palm Plantations. Trop. Med. Infect. Dis. 2023, 8, 74. https://doi.org/10.3390/tropicalmed8020074

AMA Style

Mohd-Azami SNI, Loong SK, Khoo JJ, Husin NA, Lim FS, Mahfodz NH, Ishak SN, Mohd-Taib FS, Makepeace BL, AbuBakar S. Molecular Surveillance for Vector-Borne Bacteria in Rodents and Tree Shrews of Peninsular Malaysia Oil Palm Plantations. Tropical Medicine and Infectious Disease. 2023; 8(2):74. https://doi.org/10.3390/tropicalmed8020074

Chicago/Turabian Style

Mohd-Azami, Siti Nurul Izzah, Shih Keng Loong, Jing Jing Khoo, Nurul Aini Husin, Fang Shiang Lim, Nur Hidayana Mahfodz, Siti Nabilah Ishak, Farah Shafawati Mohd-Taib, Benjamin L. Makepeace, and Sazaly AbuBakar. 2023. "Molecular Surveillance for Vector-Borne Bacteria in Rodents and Tree Shrews of Peninsular Malaysia Oil Palm Plantations" Tropical Medicine and Infectious Disease 8, no. 2: 74. https://doi.org/10.3390/tropicalmed8020074

APA Style

Mohd-Azami, S. N. I., Loong, S. K., Khoo, J. J., Husin, N. A., Lim, F. S., Mahfodz, N. H., Ishak, S. N., Mohd-Taib, F. S., Makepeace, B. L., & AbuBakar, S. (2023). Molecular Surveillance for Vector-Borne Bacteria in Rodents and Tree Shrews of Peninsular Malaysia Oil Palm Plantations. Tropical Medicine and Infectious Disease, 8(2), 74. https://doi.org/10.3390/tropicalmed8020074

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