ABSTRACT
The ability of ticks to interact and adapt to different ecologies and hosts determines their vectorial competence for various pathogens; however, ticks-livestock-pathogens interaction studies are limited. With our ticks-hosts-pathogens interface studies, we found 14 species of hard ticks feeding on various livestock. Ticks showed a strong preference for one-humped camels (Camelus dromedarius). The camel nostril was the most preferred predilection site. The most prevalent tick species on camels was Hyalomma rufipes. We found two novel Amblyomma gemma variants which are distinct both morphologically and genetically from previously described Amblyomma gemma. The signature odors from camel breath and body were attractive to adult H. rufipes, demonstrating ticks utilize camel-derived metabolites to find their host. Our research shows that H. rufipes and camel hosts have unique and shared pathogens showing H. rufipes’ vector and dromedary camel’s reservoir host qualities. Our study unravels the dynamic interactions between hard ticks, pathogens, and host camels that all influence the likelihood of pathogen adaptation and transmission dynamics.
IMPORTANCE
Ticks are obligatory hematophagous arachnids, serving as vectors for a wide array of pathogens that can be transmitted to animals and humans. The ability of ticks to acquire and transmit various pathogens depends on their attraction to quality reservoir hosts and the survival of the pathogens in ticks’ gut and other tissues. However, the complex dynamics of tick-pathogen interaction and host-seeking behavior remain understudied. This investigation revealed notable variation in tick preference for domestic animals, with camel being the most preferred host. Moreover, our spatial analysis of tick attachment sites showed nostrils are the most preferred sites by various tick species. Our epidemiology data showed variation in the pathogens harbored by camel (host) and vector (Hyalomma rufipes), demonstrating the camel’s efficiency as reservoir host and ticks’ vector competence for various pathogens. With our behavioral experiment using H. rufipes and its preferred host’s (camel) breath and body signature odors, we identified novel attractants for H. rufipes, thus offering new avenues for combating tick-borne diseases. Overall, our study presents novel insights into how multiple factors shape tick-host-pathogen interaction.
KEYWORDS: Ticks, pathogens, metabolites, diversity, communication, molecular markers, predilection, hosts, arid and semi-arid ecologies
INTRODUCTION
As obligatory ectoparasites, most tick species interact and feed on a wide range of hosts except for some monoxenic species (1, 2); elements that are the impetus for pathogen transmission. Ticks transmit diverse pathogenic microbial (viruses, bacteria) and parasitic (protozoans, helminths) agents to their vertebrate hosts including humans (3–5). The role ticks to play in disease transmission depends on tick species dynamics, vectorial capacity, host choice, and whether they feed on efficient reservoir hosts or not. For instance, Ginsberg et al. (6) clearly demonstrated how tick host choice between efficient and poor reservoir hosts determine the distribution of Lyme disease (6). Unlike most blood-sucking vectors such as mosquitoes and other biting flies, fleas, lice, and bugs, most ticks have a rather unique life cycle involving multiple stages and hosts ultimately resulting in complex tick-hosts-pathogens interaction, adaptation, and epidemiological patterns of pathogen acquisition and transmission (1, 7). Under natural conditions, an animal may be infested with several ticks of different species (8). The aggregation of ticks on a given host may be due to various reasons, for instance, host infection with various pathogens increases the attractivity of the host to ticks (9, 10). Furthermore, tick infection alters sites of attachment (2) that initiate ticks’ movement and exposure to new host-pathogen interaction.
The interactions between the tick and its host-pathogen system and with other transmission cycles, such as abiotic factors, are key features that determine the transmission dynamics and distribution of tick-borne diseases (6). The evaluation of such interactions is a complex but necessary preliminary step in assessing disease transmission risk. Several studies have addressed the importance of examining the complete community of hosts in a territory to estimate their relative contribution in supporting the various tick species present and the pathogens the ticks transmit (1, 7’ 11–14). The maintenance of tick-borne pathogens within natural reservoirs is intricately influenced by the attraction of ticks to their host animals (1, 7). Conversely, studies on the diversity, abundance, ticks’ preferential attraction to various co-herded livestock, tick-host-chemical communication, which are the driving factors for tick-borne pathogen transmission, and tick evolutionary adaptation remain understudied. Furthermore, the elucidation of tick-host-pathogen interactions complementary to understanding tick-borne disease transmission dynamics is an emerging field that holds immense potential for the development of innovative strategies aimed at controlling ticks and curtailing the spread of tick-borne diseases.
The objective of our study was to investigate the complex interactions between ticks, hosts, and pathogens by comparing tick infestations in various domesticated livestock hosts. In addition, we sought to analyze the network of pathogens and examine the chemical communication between ticks and camels in arid and semi-arid regions. Hyalomma rufipes exhibited a distinct preference for camels over other livestock when it comes to tick-host interactions. Evidently, scents originating from camels were attractive to H. rufipes.
RESULTS
Prevalence of ticks on camels and co-herding livestock (goat, sheep, and cattle)
The tick prevalence in camels was high as compared to the other co-herding livestock, followed by cattle (P < 0.0001). In all, 14 tick species including engorged females from 3 hard ticks genera were found on camels and co-herded livestock with varying prevalence (Table S4). Sheep were dominantly infested with Rhipicephalus pravus ticks. Three species were prevalent on goats (R. pravus, H. dromedarii, engorged Rhipicephalus spp. females) and five species from cattle (H. rufipes, A. gemma, H. dromedarii, A. variegatum, and R. pulchellus) (Fig. 1). We also observed that A. gemma was the most abundant tick on cattle but H. rufipes and H. dromedarii were the most prevalent species on camel. With our multiyear follow-up ticks count on camels, we found that the prevalence of ticks on camels varied between years (Fig. S1). We did not collect soft ticks and immature stages of hard ticks from the livestock, only adult ticks were analyzed.
Fig 1.
Heatmap showing tick density from different livestock hosts collected in 2019.
Morphological identification of ticks
Since camel was the most preferred host (Fig. 1), our further detailed study focused on camel-tick interaction. A total of 2,494 hard tick species (Acari: Ixodidae) were collected from camel hosts from various ecologies. The ticks belong to three genera Hyalomma (74.5%), Rhipicephalus (15.4%), and Amblyomma (10.1%) collected from camels, from Marsabit and Samburu counties in Northern Kenya.
Based on morphology, 14 tick species in three genera were identified, namely, Amblyomma gemma, Amblyomma lepidum, Amblyomma variegatum, Hyalomma dromedarii, Hyalomma impeltatum, Hyalomma marginatum, Hyalomma rufipes, Hyalomma truncatum, Rhipicephalus appendiculatus, Rhipicephalus camicasi, Rhipicephalus pravus, Rhipicephalus pulchellus, and Rhipicephalus sanguineus, and we also report occurrence of Rhipicephalus praetextatus in the area, which was not reported previously (Fig. 2). Detailed descriptions of the morphological features of the tick species are listed in Supplemental material 4.2. H. rufipes was the most abundant species (27.7%) followed by H. dromedarii (25.8%); R. praetextatus was the least abundant (0.03%) (Table S4).
Fig 2.
High-resolution photos of tick species identified from camels and co-herding livestock in Northern Kenya. ♂, male; ♀, female.
Amblyomma gemma complex
We identified two novel A. gemma ticks which we designated as Amblyomma gemma variant whose postero-meridian stripes were narrow and not continuous (existence of bridges) despite the connection with the falciform stripe. In addition, both ticks had narrow postero-accessory stripes while one had a distinct narrow cervical stripe. The lateral spots for the variants also varied as one had two lateral spots while the other had three seemingly as the definite A. gemma. Despite having pale rings, the legs of one of the variants were relatively darker in color (Fig. 3).
Fig 3.
Differential morphological features of Amblyomma gemma complex. P.r legs—pale-ringed legs; p.a str—postero-accessory stripes; l.sp—lateral spots; f str—falciform stripe; p.m st—postero-meridian stripes.
Amblyomma gemma ticks were identified by the flat slightly convex eyes close to the margin of the scutum, the localization of the primary punctation distribution on the scutum, the pink to orange enamel color, legs colored with pale rings, the short internal and medium-sized external spur lengths of coxae 1, and the small to medium punctations around the ocular region. Male A. gemma was distinguished by the presence of partial enamel ornamentation on 6 of the 11 festoons and the broad postero-meridian stripe; the elongate mesial area of enamel ornamentation and large and complex lateral median areas of the conscutum. The adult female A. gemma was identified by the straight scutum sides, broad scutum posterior angle, the large mesial area, and the elongate and complex lateral areas of enamel ornamentation of the scutum.
Molecular confirmation of tick species dynamics
We demonstrate the efficacy of 12S ribosomal DNA (rDNA), 16S rDNA, the nuclear ribosomal internal transcribed spacer 2 (ITS2), and cytochrome oxidase subunit 1 (CO1) genetic markers for DNA barcoding of ticks. These markers, along with existing morphological taxonomic keys, allow us to uncover the diversity of tick species (Fig. 4A through D).
Fig 4.
Phylogenetic analyses by maximum likelihood tree of (A) ITS2, (B) CO1, (C)16S rDNA, and (D) 12S rDNA. For CO1, a neighbor-joining tree was applied. Soft ticks Otobius megnini, Ornithodoros moubata, Argas africolumbae, and Argas persicus were used as outgroups for the respective molecular markers. Sequences obtained from this study are highlighted in red colored fonts. Asterisk has been added to the A. gemma variant.
Ticks’ diversity across various ecologies
Here, we describe the diversity of adult ticks in 14 localities. We found significant differences in the diversity of tick species between sites (P < 0.05). The Parkichon Fora and Marti Dorop sites recorded the highest Shannon diversity index (H′ = 2.2) with 9 out of the 14 recorded tick species, followed by Ngurunit (H′ = 2.1) while El-gade and Aiguman-Kalacha had the lowest (H′ = 1.1) with only 3 out of the 14 tick species encountered (Fig. 5).
Fig 5.
Locations of study sites and tick diversity. The various sampling sites were found to be different in ticks’ diversity, depicted by the Shannon index (H).
Infectious agents in camels and associated H. rufipes ticks
To decipher the potential vectorial capacity of H. rufipes (the most prevalent tick on camels) regarding the pathogens it harbors and the reservoir role of camel, we studied the host-vector pathogen network by analyzing 299 H. rufipes ticks and all the camel blood samples collected for the occurrence of tick-borne pathogens and other vector-borne pathogens such as trypanosomes. From our pathogen analysis between H. rufipes and camels, we found that some pathogens are shared between H. rufipes and camels. For instance, in H. rufipes ticks we found four pathogens, including Anaplasma spp. Candidatus Ehrlichia regneryi, Rickettsia aeschlimannii, and Coxiella burnetii (Fig. 6A). However, we observed different pathogens dynamics in camels, for instance, Candidatus Anaplasma camelii and Trypanosoma evansi were the most prevalent pathogens in camels, but these were not detected in ticks. Moreover, Rickettsia aeschlimannii was detected in ticks but was not present in camels (Fig. 6B). The sequences of the various pathogens distinctly clustered into four different pathogens and grouped with known respective reference sequences (Fig. 6C).
Fig 6.
(A) Tick-borne pathogens characterized in H. rufipes ticks (n = 299). (B) Infectious agents identified in camels (n = 497). (C) Neighbor-joining tree demonstrating the pathogens from camel and H. rufipes relatedness. Pathogens in red letters with their accession numbers are from this study. “Ca.” stands for Candidatus; “Ex.” refers to the extract source organism.
Spatial diversity of tick species on various camels’ bodies
We asked if the spatial variation in temperature, humidity, and microbes may create different ecological niches within a given host where ticks may thrive. Thus, we investigated the spatial distribution of tick species on various anatomical parts of camel. We found ticks are widely distributed across various body parts of the camel. However, the nostril and anal region were the most infested sites, with the nostril being the most preferred site by diverse species of ticks. Up to 30 ticks belonging to 6 different tick species were encountered per nostril in some camels (Fig. 7A and B; Tables S5 and S6). The ubiquitous infested sites across the sampled livestock hosts were the ear and tail except for goats. The anal region of camels and cattle was infested mostly by H. rufipes and R. pulchellus. Other attachment sites on cattle included the dewlap, udder, the belly, and along the neck while a few A. gemma were found on the male goat scrotum ( Fig. S2).
Fig 7.
(A) Heat map showing the spatial distribution of tick species at different predilection sites on camel (B). Species distribution by predilection sites or tissue, inset shows highly infested camel nostril (n = 30).
Camel-derived odors are attractive to H. rufipes
First, we analyzed if there are breath-specific odors that attract ticks to the camel nostril (Fig. 8A). We identified signature odors of camel breath as xylene isomers, 1,2,4-trimethylbenzene, cymene complex, mesitylene, dodecane, and tridecane. On the other hand, the body signature odors were naphthalene, guaiacol, p-cresol, decanal, acetophenone, pinene, nonanal, and 1-octen-3-ol (Fig. 8A) (raw data obtained from reference 15, under a Creative Commons Attribution 4.0 International License) and the attractivity of body and breath signature odors was evaluated in a custom-made walking tunnel bioassay using individual compound against solvent control (Fig. 8B) using lab reared adult male and female H. rufipes. We found that H. rufipes was attracted to breath-specific odor, specifically to dodecane t = 4.34, df = 9, P = 0.002, p-cymene, t = 3.72, df = 9, P = 0.005 and camel body odor 1-octen-3-ol, t = 4.4, df = 9, P = 0.002 which is a general odor present in various biological samples. The attraction for dodecane and 1-octen-3-ol was stronger. Interestingly, many of the other body and breath signature odors were neutral (Fig. 8C).
Fig 8.
Camel-tick chemical communication. (A) Depicts signature odors of camel body and breath based on multivariate analysis of camel breath and body odors using non-metric multidimensional scaling (NMDS). NMDS was based on Bray–Curtis similarities of averaged relative abundance of 15 signature odor components of breath and body from five camels as replicates. The black arrow(s) in the biplot points to the direction of most change in the odor. The relative length of the black arrow(s) is proportional to the change in odor relative abundance. The black and red filled dot circles represent the location of the five camels used as replicate in biplot space based on the odor profile. (B) The custom-made walking bioassay. (C) The behavioral response of H. rufipes to various camel bodies and breath odors. * depicts a significant difference, black and red bars represent body and breath odors.
DISCUSSION
Tick-host interactions influence the likelihood of pathogen acquisition, multiplication, and transmission. In our ticks-pathogens-host interaction using high-resolution images (Fig. 1) coupled with four mitochondrial DNA (mtDNA) molecular markers, we revealed 14 tick species complexes feeding on various livestock. Our integrated approach will facilitate the correct taxonomic identification of these arthropod vectors. We characterized unique and shared pathogens between adult Hyalomma rufipes ticks and camel hosts. Finally, we elucidated chemical communication between H. rufipes and camels. Our study on the relationships between tick vectors-hosts-pathogens interaction is relevant to understand adaptation and evolution and to discover new targets for the development of innovative strategies to control vector-borne diseases.
Besides the 14 tick species, we also identified two previously unreported, novel Amblyomma gemma variants (Fig. 3). The sympatric nature of the populations of A. gemma and A. variegatum could be one of the reasons for the occurrence of the interspecific hybrid, thus leading to the reported A. gemma variants identified in the present study. Hybridization between ticks that are closely related in their sympatric zones is not exceptional (16). The A. gemma variants had a few mismatches with the sequences of some of our samples and the previously reported A. gemma (17) collected at different locations even from northern Kenya. Consequently, the phylogenetic analyses (Fig. 4) indicated distinct clustering of the A. gemma variants across the genetic markers which were successfully amplified (16S, 12S, and CO1) for molecular identification of the ticks.
Tick species distribution and density are affected by several factors including ambient abiotic conditions like climate, and movement and availability of preferred hosts (18, 19). These factors could potentially contribute to the variation in the diversity of tick species across the ecologies as seen in Fig. 6. Our data also reveal the occurrence of an undocumented Rhipicephaline tick species, Rhipicephalus praetextatus which has not been reported from other studies in northern Kenya (17, 20). The various techniques used in this study may have contributed to the identification, which signifies the importance of the rigorous application of various taxonomic techniques. Moreover, our report on Rhipicephalus pravus corroborates the work by Dolan et al. (20) conducted four decades ago from a camel herd in the Ngurunit area which was one of our study sites. The molecular markers mtDNA (CO1, 12S, and 16S) and nuclear DNA, particularly the nrRNA gene (ITS2), were selective, thus some tick species were amplified using two or three markers but not the others. The ticks’ selective gene fragment amplification may be attributable to arbitrary or particular oligonucleotide primer designs. We suggest that the countermeasure of the discriminatory amplification phenomenon using three to four genetic markers and morphological analyses for certainty in species identification (21–23).
Camel is the most preferred host by various ticks; the camel body size, its chemistry and microbial communities could be contributing factors to the high ticks’ infestation rates as compared to small ruminants that need further investigation. In previous studies, Hyalomma dromedarii was the most common tick species, especially in UAE, while in East Africa, including our study, both H. dromedarii and H. rufipes have been found on camels with relatively comparable abundance despite H. dromedarii‘s being known as the camel tick (17, 24–27). The high abundance of H. rufipes on camels may be due to changes or diversification in its host species which are tightly associated with organism genome evolution and species differentiation for host-obligatory organisms. For instance, there is a positive correlation between the increase in host switching with butterfly diversification (28). In light of host switching, H. rufipes is mostly associated with cattle infestations (29). The high infestation of H. rufipes on camels possibly as opportunistic hosts, an attribute that needs further investigation. Similarly, another instance is the collection of H. dromedarii from other hosts in the presence of their preferred hosts demonstrating ticks are not host specific the same as other blood-feeding arthropods. H. dromedarii has not been reported in other wildlife ecologies, non-arid, arid and semi-arid lands in Kenya despite optimum climatic conditions (30–33). Ogola et al. (34) demonstrated the importance of host availability in an arid region where H. dromedarii was not found due to the absence of camels.
Several studies have indicated the predilection of Hyalomma dromedarii ticks as the only species that attach to the camel nostrils (20, 24, 35). Similarly, our spatial distribution map of ticks on various camel bodies confirms the proclivity of this tick species to attach to the camel’s nostrils. However, from our findings (Fig. 7) up to 30 ticks belonging to six different tick species were found in a single nostril, we also found, in addition to H. dromedarii, H. rufipes, H. impeltatum, H. truncatum, A. gemma, and R. pravus demonstrating camel nostril is the preferred predilection site of various tick species. However, there are species-specific and life-stage-dependent preferences for specific locations of attachment especially in human-preferring ticks. The location of the tick attachment site is of clinical and tick-host interaction importance because it can allow for ticks to be rapidly discovered and removed, curtailing their ability to transmit pathogens. For instance, in humans, Dermacentor variabilis preferentially bites the head and neck, while Amblyomma americanum prefers the thighs, groin, and abdomen, and Ixodes scapularis are found across the body (2). However, Ixodes scapularis showed a significant life stage difference with adults preferring the head, midsection, and groin, while nymphs/larvae preferred the extremities (2). Interestingly, infection resulted in a significant change in attachment site (2) and infected tick attachment sites also determined the outcome of the infection. For instance, a single tick bite at the bite site that resulted in infection with the tick-borne encephalitis virus (TBEV) was associated with lethal outcomes if the bites were located on the head, neck, arms, or axilla, while less lethality was associated with bites to the lower limbs and groin (36).
Relative to our findings, the reason behind various tick preferences for camel nostrils and the absence of ticks from the other three livestock nostrils is not fully understood and needs further investigation. This information is valuable for predicting the biting location of ticks. It is beneficial for the public to inspect several anatomical locations for ticks, with particular attention to the camel nose, which is often overlooked by pastoralists due to its hidden location. This can then facilitate the quick removal of ticks to prevent possible pathogen introduction, and potentially reduce the transmission of tick-borne pathogens or pathogen testing of the tick for diagnostic considerations. It is important to describe camel nostrils from their biochemical, microbes, temperature, and pH among other elements to find out why it is the preferred niche for various ticks to thrive.
We document the qualitative difference of the infectious agents between camels and H. rufipes (Fig. 6A and B) and the characteristic phylogenetic diversity of the vector-borne pathogens in the aforementioned organisms (Fig. 6C). Candidatus Anaplasma camelii was highly prevalent in camels (66.3%) followed by T. evansi (8.8%), albeit these were not found in H. rufipes, that may demonstrate H. rufipes as an inefficient vector for these pathogens. Thus, potentially, the presence of the disease-causing microorganisms in camel could be due to the occurrence of other vectors including biting flies like Stomoxys calcitrans and Hippobosca camelina (37–40). Some of the pathogens identified in H. rufipes corroborate with the report of TBPs in the same tick species from camels in northern Kenya (17); these include Coxiella burnetii, Rickettsiae aeschlimannii, Candidatus Anaplasma camelii, and Candidatus Ehrlichia regneryi. C. burnetii and R. aeschlimannii characterized in H. rufipes ticks are of zoonotic importance as they are most likely to infect farmers who domesticate animals. Generally, ticks are known to be the reservoirs of C. burnetii, a neglected zoonosis and the causative agent of Q fever. On the other front, explicit reservoir animals are goats, cows, and sheep (41, 42). Interestingly, the study by Devaux et al. (42) reported on the high seroprevalence of C. burnetii in female camels, a case that was crosslinked with a history of abortions in the animals. The presence of C. burnetii in H. rufipes but missing in camel may demonstrate camel cleared the pathogen by the time of blood collection but remains in H. rufipes or H. rufipes interacted with other host before camel from where it has picked the pathogens, as Hyalomma species are two-host ticks. The mismatch in some pathogen between camel and tick demonstrates the use of tick for disease diagnosis may not provide the whole story unless we know it is a competent vector of the pathogen of interest and needs more detailed study from various host and ecologies. In the future, it is important to combine techniques that detect an active infection and past infection history such as seroprevalence and more tick species—pathogen association to understand disease outcomes and complexities better.
The volatilome comparison between breath and body from the same camel showed each body part has its signature odors (Fig. 8A) that are unique and shared but vary in abundance (15). After identifying camel, as the most preferred host and H. rufipes as the most abundant tick feeding on camel, we asked how they communicate and we showed their communication involves volatile organic compounds (VOCs) as H. rufipes exhibited a strong behavioral response to selected compounds. From 14 signature compounds tested, dodecane and p-cymene were novel attractants to H. rufipes (Fig. 8C). Another attractant, 1-octen-3-ol, is a shared odor between various livestock and has been reported as an attractant to different tick species (43–45). Similarly, other tick species are attracted to a few livestock-derived odors (43–45). A. variegatum was found to be a generalist attracted to several odorants (46) demonstrating tick species-specific-dependent bioactivity of livestock-derived odorants.
The development of a chemical ecology-based approach for tick management is timely for creating innovative strategies to control ticks and limit the spread of tick-borne diseases, especially as the nostril is a sensitive tissue for chemical application besides multiple acaricides resistance by various ticks. The localization of ticks in the camel nostrils is detrimental to the health of the animal due to the discomfort to the animal (20). However, despite other vertebrate hosts’ production of CO2 (47), the inclination of several species of ticks only to the camel’s nose is an interesting phenomenon that needs to be unraveled. Due to its occurrence in relatively every climatic region, H. rufipes has a wide distribution in Africa from desert to rainforest regions (29, 48, 49), thus understanding its adaptation mechanism both to various hosts, vectorial capacity, and ecologies is the research of interest. The possible ecological effect of livestock diversification due to climate change, for instance, the shift to camel as a climate adaptation strategy concerning vector dynamics and pathogens transmission needs to be investigated in detail in the future.
MATERIALS AND METHODS
Study area
The study was conducted at Ngurunit, Moti, Dabala Fachana, Misa/Dabel, Bales-Bura, Aiguman-Kalacha, El-gade, Dokatu, Segel, and Malgis Lagha locations in Marsabit county and Marti Dorop, Mpagas, Lependera, Parkichon Fora locations in Samburu County in northern Kenya, where ticks were collected from camels and co-herding animals kept by livestock farmers (Fig. 9). Marsabit county covers an area of 70,961.2 km2 and is located between latitudes 02° 45′ and 04° 27′ North and longitudes 37° 57′ and 39° 21′ East. The study area is climatically characterized as an arid and semi-arid ecology with minimum and maximum temperatures varying between 15°C and 25°C (50). Rainfall is highly variable and erratic with an annual range of 200–1,000 mm, increasing as the altitudes rise (51). Camel density in the area is high and contact between herds is high and regular. The lactation and reproduction status of the animals provides ground for the exchange of animals by the farmers between herds (52). Other livestock kept in the area include cattle, sheep, goats, and donkeys. The animals are kept in homesteads referred to as “bomas,” which are enclosures usually fenced off with twigs; they include mud-walled housing and livestock holding areas. As a pastoral community, some farmers migrate from place to place in search of pastures and water resources and settle in camps (temporary settlements).
Fig 9.
Map of the study area showing sites where ticks were collected from camels and co-herding livestock.
Ticks’ sampling and processing
Ticks were collected from livestock at the bomas in a cross-sectional study design in March 2019 (dry season), May 2020 (wet season), February 2021 (dry season), and June 2022 (wet season). The sampling was done early in the morning (0600–0900 h). Ticks were removed from the animals using a pair of forceps and preserved in 99% absolute ethanol in 2 mL Eppendorf tubes. The tubes were labeled according to the collection site, host species, attachment site on the host, and date of collection. The ticks were collected from different predilection sites of the animals which included the eye, ear, nose, body trunk, belly, udder, tail, and anal region. The collection tubes were frozen in liquid nitrogen in the field before transportation for analysis at icipe’s ML-EID laboratory where they were stored in −80°C freezers until further processing.
Assessing ticks’ diversity between co-herding livestock
To study the ticks’ dynamics among co-herding livestock, we selected only those households from the Ngurunit site that owned four types of livestock (camel, cattle, goat, and sheep). Furthermore, due to the arid and semi-arid nature of the area, the number of cattle is low but the other three are abundant, with the small ruminants being the most dominant followed by camels (40). We selected 10 households that fulfilled our criteria, that is, those households that have all four species of livestock, and from each household we selected all tick-infested livestock and numbered, using the lottery method tick-infested animals were selected randomly and counted the total number of ticks in all parts of the body. The total number of domestic animals sampled was 30 camels, 25 cattle, 20 sheep, and 20 goats.
Camel blood sampling
Blood was only drawn from tick-infested camels from the jugular veins by venipuncture into 10 mL disodium salt of ethylene diamine tetraacetate (EDTA) vacutainer tubes (Plymouth, PLG, UK). The vacutainers were temporarily stored in a cold chain (~4°C) until completion of sample collection in the morning, following which, the whole blood was later transferred into 2 mL cryovials that were kept in liquid nitrogen before transportation to the laboratories for further processing. This study was approved by the International Centre of Insect Physiology and Ecology’s Institutional Animal Care and Use Committee (IACUC) (icipe- IACUC ref no. IcipeACUC2018-003-2023) and the Ethics Review Committee of Pwani University (ERC/EXT/002/2020E). All methods were carried out in accordance with relevant guidelines and regulations. Pastoralists/farmers gave their informed consent verbally for their animal sampling after explaining the objectives of the study.
Morphological identification of ticks
Using taxonomic keys (29, 53), ticks were morphologically identified to species level and sexed under a stereomicroscope focusing on the scutum ornamentation, body conformation, anal shields, and mouthparts. High-resolution images (Fig. 2 and 3) of both dorsal and ventral views of the respective tick species were taken to highlight the key identification features. Photographs were captured using a Macropod macrophotography system (MacroscopicSolutions.com) with a CANON 6D Mark ll camera body and a CANON MP-E 65 mm macro lens. The magnification of the photos taken was 2× life size.
Molecular characterization of ticks and tick-borne pathogens
To avoid PCR inhibitors arising from contamination, exogenous DNA on the tick samples was removed by placing the ticks for 1 minute in a petri dish containing 1% sodium hypochlorite then rinsed for another minute in 1× phosphate-buffered solution (PBS). The HotSHOT protocol was used in extracting the DNA from snippets of ticks’ legs for molecular identification of the tick species as described in references (30, 54). DNA was extracted from (i) camel blood and (ii) H. rufipes ticks collected from camels using Isolate II Genomic DNA Kit using the genomic DNA extraction protocol according to the manufacturer’s instructions (55). After DNA extraction, the samples were subjected to conventional PCR for molecular characterization of the species of ticks and infectious agents in camels and H. rufipes ticks. A 20 µL PCR mixture containing 4 µL HOT FIREPol Blend Master Mix (Solis BioDyne, Tartu, Estonia), 1 µL of reverse primer (10 µM) and 1 µL forward primer (10 µM)(Table S1) (56–65), 4 µL of the template DNA, and 10 µL of nuclease-free water. The PCR was performed in a thermocycler (Applied Biosystems ProFlex PCR system). The cycling conditions for the amplification of the respective target genes are indicated in Table S2.
Agarose gel analysis, amplicon purification, and sequencing
10 µL of the amplicons were analyzed by running on 2% agarose gel at 100V for 1 hour before visualization under UV using the Kodak Gel Logic 200 Imaging System (SPW Industrial, Laguna Hills, CA, USA). The remaining 10 µL of the PCR products for the positive samples were purified using EXOsapIT according to the manufacturer’s instructions (66), and the cleaned products were sent for Sanger sequencing at Macrogen Inc. (Amsterdam, Netherlands).
Sequencing and phylogenetic analyses
Phylogenetic analyses were conducted on ticks collected from camels and co-herding livestock in northern Kenya employing molecular markers. Infectious agents identified in camels and Hyalomma rufipes were also phylogenetically analyzed. Hyalomma rufipes was considered due to its abundance in our collections which corroborated the findings of Getange et al. (17). All sequences were analyzed by trimming, editing, and aligning using the Geneious Prime software (Biomatters Ltd., Auckland, New Zealand) v2023.0.4 (67) to generate consensus sequences. The consensus sequences were queried against the GenBank database using the Basic Local Alignment Search Tool (BLASTn) for the identification of tick species and microorganisms. We aligned sequences from the present study against the reference sequences using Clustal Omega by grouping sequences by similarity as the alignment order to obtain consensus sequences. The sequences of the respective tick species and the pathogens identified in this study were deposited in the GenBank database; the accession numbers are shown in Table S3. These sequences had >95% identity match with the existing sequences in GenBank. Further analyses were done to rigorously identify the ticks. Sequence alignments generated after aligning all the sequences using MAFFT plugin v 1.5.0 with default settings for each molecular marker were exported as Phylip. The sequences were subsequently cross-checked by aligning using ClustalW in MEGA MEGA v10.2 × 64 (68). The exported Phylip files were used online to generate maximum likelihood phylogenetic trees using PhyML (69) with 1,000 replicates standard bootstrap analysis for 12S, 16S, and ITS2. For CO1, a neighbor-joining (NJ) tree using the Kimura 2-parameter (K2P) distance metric (a standard model for analysis of DNA barcode data) as described in reference (70) was constructed in MEGAX. The K2P model screens for contamination events, possible misidentifications, and other errors (71). Tree visualizations (Fig. 4) were done using FigTree v. 1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/). The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1,000 replicates) are shown next to the branches.
Tick colony establishment
Despite the notable high number of Hyalomma dromedarii in the camel nostril, we had a challenge in finding a viable engorged female of this specie for starting up a colony in the insectary; thus, we resorted to rearing and using Hyalomma rufipes for behavioral assays. Hyalomma rufipes for the behavioral assay were obtained from a colony maintained at the icipe insectary. Adult H. rufipes were collected from naturally infested camels in Marsabit County, northern Kenya. Both the mature and immature stages parasitized successfully on New Zealand white breed rabbits. The rabbits were maintained at 50% relative humidity (RH), with temperatures ranging from 18°C to 20°C, and exposure to natural daylight cycles. The rabbits were shaved on the back and a cotton fabric cloth glued on the shaved part and left for a day to firmly stick. After 24 hours, adult H. rufipes were introduced at the back of the animal, and closely monitored for successful feeding. During the non-feeding period, the engorged ticks were collected in separate cotton-plunged tubes which were maintained at an RH of 85% ± 5%. The RH was achieved by suspending the tubes in aluminum tins saturated sodium chloride solution. The tins were kept at 25°C ± 1°C in a Sanyo MIR-153 incubator under photoperiods of 16:8 L:D. The longest period in the life cycle was the egg incubation, lasting close to 60 days. Hatched larvae were re-introduced on the host’s shaved back and placed on the glass tubes after feeding. Consequently, after the nymphs molting, the number of adults was recorded. The life cycle of H. rufipes was averagely completed in 180 days: notably coinciding with the report by on the rearing of the same tick species under laboratory conditions (72).
Behavioral bioassay
Having identified camel as the most preferred host and nostril as the most preferred predilection sites, we postulated whether H. rufipes are exploiting semiochemicals to find their camel host. Unfed H. rufipes adults were used in the behavioral assays. Treatment and control arms of the walking bioassay were loaded with 50 µL of odor and control on cotton roll. The odorants were diluted in hexane at 1 µg/µL or 10−3 vol/vol and hexane was used as a control. Clean air at 85 mL/min was pushed using a porteable dynamic headspace odor collection vacuum pump (Sigma Scientific USA). To avoid odor saturation at the middle of the tunnel, we connected Porapak Type Q adsorbent at the tip of a pulling tube of the pump. Five ticks of mixed sex were released in the middle and were given 5 minutes to make a choice and decide, to avoid visual distraction the tunnel was covered with a black cloth during the entire 5-minute exploration and removed for tick choice counting. We counted the number of ticks that had entered the treatment arm and control arm every 5 minutes. With this data, an attraction index (AI) was calculated as , where O is the number of ticks that entered the treatment arm, or the odorant and C is the number of ticks that entered the control arm or hexane and 5 is the total number of ticks used per trial. The total number of ticks was limited to 5 to avoid aggregation and motivate navigation, when we used more than 5 ticks they were aggregating and had no movement. The AI ranges from −1 (maximum avoidance) to 1 (maximum attraction). Zero denotes no choice between treatments. Fourteen camel-derived odorants were tested and for each odorant, the experiment was replicated 10 times.
Statistics and reproducibility
The statistical analyses were performed using various software such as R software version 4.0.3 (73) (R Core Team, 2020). The difference in tick prevalence between different livestock was analyzed using generalized linear models with Poisson distribution using GraphPad Prism 10, using tick count data per livestock. The diversity of the tick species (richness and evenness) between the different sites using the number of ticks and the species collected per site was determined using the Shannon diversity index (H) using the R software package ‘Vegan’ (74). We applied NMDS multivariate analysis using the Bray-Curtis similarity measure to identify signature odors using Past version 3.02 from the headspace VOCs of the breath and body metabolic products. NMDS allows comparison of not only quantitative data but also data sets that contain compounds that are non-normally distributed and/or categorical (i.e., zeros are prevalent). NMDS finds both a non-parametric monotonic relationship between the dissimilarities in the body-breath VOCs matrix and the Euclidean distances between body parts based on odor, and the location of each item in the low-dimensional space (75). We employed the one-sample t-test, which is suitable for normally distributed data (confirmed by the Shapiro test with a P-value > 0.05), to compare the attraction indices derived from the trap assay data with the theoretical mean of zero (0). For the analysis of the pathogen’s prevalence between ticks and camel to determine the sample size, we used the formula according to the OIE Manual for Terrestrial Animals 2012 (76). Based on our preliminary data, we identified several tick-borne pathogens including Candidatus Anaplasma camelii (8%), Ehrlichia ruminantium (3%), and Coxiella burnetii (1%) from ticks. We considered the low C. burnetii infection as our reference point for calculating the number of ticks to sample at a 95% confidence limit. Using the formula , at α = 0.05, P = 0.01, the sample size n = −2.99/–0.01 = 299. The ticks were selected from all the ecological zones for the identification of TBPs.
ACKNOWLEDGMENTS
We thank John Ngiela and Victor Omondi for technical help in the fieldwork; James Kabii, Dickens Ondifu, and Dennis Getange for technical assistance and advice in molecular studies; Raphael Mong’are and Juliet Onditi for designing the study sites’ maps; Dr. Steve Baleba for his useful comments on the original manuscript and Caroline Muya for handling administrative issues.
This study was mainly supported by the Max Planck Institute-icipe partner group to MNG. Additional funding from the German Ministry for Economic Cooperation and Development (BMZ) through the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) BMZ 81219442 Project Number: 16.7860.6-001.00. Norwegian Agency for Development Cooperation (NORAD), the section for research, innovation, and higher education grant number RAF-3058 KEN-18/0005 (CAP-Africa) supported J.O.M. We also gratefully acknowledge the financial support for this research by the following organizations and agencies: The Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Development and Cooperation (SDC); the Australian Centre for International Agricultural Research (ACIAR); the Norwegian Agency for Development Cooperation (Norad); the German Federal Ministry for Economic Cooperation and Development (BMZ); and the Government of the Republic of Kenya. The views expressed herein do not necessarily reflect the official opinion of the donors.
J.O.M., M.N.G., and D.K.M. conceptualized and designed the research plan. M.N.G., P.N.N., F.A.O., and D.K.M. supervised the work. P.A. assisted in tick collection and identification. J.O.M. did the experiments and wrote the original draft. M.N.G., P.N.N., F.A.O., and D.M. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.
Contributor Information
Merid N. Getahun, Email: mgetahun@icipe.org.
Yaw Shin Ooi, Duke-NUS Medical School, Singapore, Singapore.
ETHICS APPROVAL
This study was conducted within the framework of epidemiological surveillance activities at International Centre of Insect Physiology and Ecology (icipe), and the experimental guidelines and procedures were approved by icipe’s Institutional Animal Care and Use Committee (IACUC), reference number: IcipeACUC2018-003-2023rev, and ethics approval obtained from the Ethics Review Committee of Pwani University (ERC/EXT/002/2020E). The ticks were collected from animals following authorization by the livestock owners after the objectives of the study were explained to them.
DATA AVAILABILITY
The sequences of the tick species and the pathogens identified in this study were deposited in the GenBank database; the accession numbers are shown in Table S3.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/msphere.00405-24.
Supplemental text, tables, and figures.
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental text, tables, and figures.
Data Availability Statement
The sequences of the tick species and the pathogens identified in this study were deposited in the GenBank database; the accession numbers are shown in Table S3.









