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Seasonal infestation patterns of ticks on Hokkaido sika deer (Cervus nippon yesoensis)

Published online by Cambridge University Press:  15 November 2024

Kotaro Shimizu
Affiliation:
Laboratory of Wildlife Biology and Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan
Michito Shimozuru
Affiliation:
Laboratory of Wildlife Biology and Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan
Masami Yamanaka
Affiliation:
Shiretoko Nature Foundation, Shari-gun, Japan
Genta Ito
Affiliation:
Shiretoko Nature Foundation, Shari-gun, Japan
Ryo Nakao
Affiliation:
Laboratory of Parasitology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan
Toshio Tsubota*
Affiliation:
Laboratory of Wildlife Biology and Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan
*
Corresponding author: Toshio Tsubota; Email: tsubota@vetmed.hokudai.ac.jp

Abstract

Ticks prefer specific feeding sites on a host that are influenced by host–tick and tick–tick interactions. This study focused on the spatiotemporal distribution of ticks in Hokkaido sika deer, an important tick host in Hokkaido, Japan. Tick sampling was performed on the sika deer in the Shiretoko National Park between June and October 2022. Ticks were collected from 9 different body parts of the deer to compare their attachment site preferences. Interspecific and intraspecific relationships among ticks were examined using co-occurrence analysis. The collected ticks were nymphal and adult stages of 4 species: Ixodes ovatus, Ixodes persulcatus, Haemaphysalis japonica and Haemaphysalis megaspinosa. Seasonal variations in tick burden were observed, with I. persulcatus and I. ovatus peaking in June and declining towards October; H. japonica showing low numbers in July and August and increasing from September; and H. megaspinosa appearing from September onwards with little variation. Attachment site preferences varied among species, with a significant preference for the pinna in I. ovatus and I. persulcatus. Haemaphysalis japonica was mainly found on the body and legs between June and August, and shifted to the pinna from September. Haemaphysalis megaspinosa showed a general preference for areas other than the legs. Co-occurrence analysis revealed positive, negative and random co-occurrence patterns among the tick species. Ticks of the same genus and species exhibited positive co-occurrence patterns; I. ovatus showed negative co-occurrence patterns with Haemaphysalis spp. This study revealed the unique attachment site preferences and distinct seasonal distributions of tick species in the Hokkaido sika deer.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Most ectoparasites, including ticks, do not infest their hosts randomly but feed preferentially on specific body parts (Andrews et al., Reference Andrews, Petney and Park1981; Chilton et al., Reference Chilton, Bull and Andrews1992; Kiffner et al., Reference Kiffner, Lödige, Alings, Vor and Rühe2011; Baer-Lehman et al., Reference Baer-Lehman, Light, Fuller, Barry-Landis, Kindlin and Stewart2012; Mysterud et al., Reference Mysterud, Hatlegjerde and Sørensen2014; Lydecker et al., Reference Lydecker, Etheridge, Price, Banks and Hochuli2019; Tiffin et al., Reference Tiffin, Skvarla and Machtinger2021). The distribution patterns depend on the characteristics of both the host and the tick (Kar et al., Reference Kar, Dervis, Akın, Ergonul and Gargili2013). For example, it has been reported that many tick species prefer sites where they can effectively feed, such as the hairless parts of rodents (Pilosof et al., Reference Pilosof, Lareschi and Krasnov2012). Feeding efficiency is influenced by the anatomical characteristics of the host and the morphology of the ectoparasite, that is, the compatibility of the feeding apparatus of the parasite and the feeding site on the host. Ectoparasites with short proboscises select body parts with relatively thin epidermis and capillaries close to the body surface, whereas ectoparasites with relatively long proboscises select body parts with a thicker epidermis and deeper capillaries (Pilosof et al., Reference Pilosof, Lareschi and Krasnov2012). It is also important for ticks that the animal's mouth or claws are out of reach to prevent their removal during feeding. Host defence efforts and efficiency vary by body site (Reiczigel and Rózsa, Reference Reiczigel and Rózsa1998), and it has been reported that many ticks that feed on birds prefer their heads as feeding sites because they are difficult to be removed by grooming by the host (Fracasso et al., Reference Fracasso, Matthysen, Dhondt and Heylen2019).

Another important factor affecting the spatiotemporal distribution of ticks is interspecific interactions. Such interspecific interactions include cases where 1 parasitic species promotes or inhibits infestation by another species (Fenton et al., Reference Fenton, Viney and Lello2010; Hellard et al., Reference Hellard, Fouchet, Vavre and Pontier2015). For example, some hard ticks (Acari: Ixodidae) that feed on the eastern rock sengis (Elephantulus myurus) may facilitate the invasion of other tick species onto the same host (no records of attachment sites) (Lutermann et al., Reference Lutermann, Fagir and Bennett2015). In contrast, Ixodes scapularis and Dermacentor albipictus have been reported to compete for preferred attachment sites on white-tailed deer (Odocoileus virginianus) (Fellin and Schulte-Hostedde, Reference Fellin and Schulte-Hostedde2022). In addition to interspecific relationships, facilitative interactions within the same tick species have been reported, possibly due to the decreased immune response of the host as the tick infestation burden increases (Lutermann et al., Reference Lutermann, Fagir and Bennett2015).

Understanding tick infestation patterns in host animals is important for efficient tick sampling, effective treatment of animals with repellents and acaricides, and, consequently, control of tick-borne diseases (TBDs) (Schmidtmann et al., Reference Schmidtmann, Carroll and Watson1998). Hokkaido sika deer (Cervus nippon yesoensis), a subspecies of the sika deer (Cervus nippon), is one of the most important hosts for several tick species of the genera Ixodes and Haemaphysalis (Tsukada et al., Reference Tsukada, Nakamura, Kamio, Inokuma, Hanafusa, Matsuda, Maruyama, Ohba and Nagata2014; Elbaz et al., Reference Elbaz, Moustafa, Lee, Ching, Shimozuru, Sashika, Nakao, El-khodery and Tsubota2020; Iijima et al., Reference Iijima, Watari, Furukawa and Okabe2022). The population of sika deer in Hokkaido has increased over the last 20–30 years (approximately 670 000 between 2014 and 2020) (Ikeda and Koizumi, Reference Ikeda and Koizumi2024). Because deer are known carriers of several tick-borne pathogens such as Piroplasmida and Anaplasma (Lee et al., Reference Lee, Takano, Taylor, Sashika, Shimozuru, Konnai, Kawabata and Tsubota2014; Elbaz et al., Reference Elbaz, Moustafa, Lee, Mohamed, Nakao, Shimozuru, Sashika, Younis, El-khodery and Tsubota2017), it is of critical importance to understand the spatiotemporal distribution of ticks on Hokkaido sika deer.

The aim of this study was to understand tick infestation patterns in Hokkaido sika deer. More specifically, the research focused on seasonal differences in infestation patterns, preferred attachment sites for each tick species and interspecific interactions between different tick species.

Materials and methods

Study area

This study was conducted in the Rusha area of the Shiretoko Peninsula, eastern Hokkaido, Japan (44°11′N, 145°11′E). The area from the centre of the peninsula to Shiretoko Cape, including the research site, is designated Shiretoko National Park and is a UNESCO World Heritage Site where hunting is prohibited. This area is a narrow estuary coast that stretches from south to north for approximately 3 km, and its climate is classified as Subarctic. Climate information for the sampling period in Utoro (44°03′N, 144°59′E), the closest climate observation point to the study area, is shown in Table 1. Based on the definitions provided by the Japan Meteorological Agency, March–May is defined as spring, June–August as summer, September–November as autumn and December–February as winter. Six native mammals, namely the Hokkaido sika deer, Hokkaido brown bear (Ursus arctos yesoensis), red squirrel (Sciurus vulgaris), red fox (Vulpes vulpes), raccoon dog (Nyctereutes procyonoides) and sable (Martes zibellina), have been identified in the northwestern part of the national park, including the study area (Kawamura et al., Reference Kawamura, Jimbo, Adachi, Shirane, Nakanishi, Umemura, Ishinazaka, Uno, Sashika, Tsubota and Shimozuru2022).

Table 1. Climate information for the sampling period in Utoro, Japan, the closest climate observation point to the study area

The data are provided by the Japan Meteorological Agency, Japan.

Sampling

Deer were captured 48 times for tick collection between June and October 2022, totalling 37 deer, 9 of which were captured more than once. Deer capture and sampling were conducted for 3–4 days each month during the study period. The deer were anaesthetized with 0.1 mg kg−1 medetomidine (Dorbene Vet, Kyoritsu Seiyaku, Co., Tokyo, Japan) using a carbon dioxide-powered gun (Dan-Inject ApS, Borkop, Denmark) for intramuscular injection and awakened with 0.1 mg kg−1 atipamezole (Atipame, Kyoritsu Seiyaku, Co., Tokyo, Japan) injected intramuscularly after all procedures were completed. The design of the capture process was based on previous studies (Onuma et al., Reference Onuma, Takahashi, Makoto, Mayumi, Masatsugu and Koichi2005). Deer age was estimated based on tooth eruption and replacement (Ohtaishi, Reference Ohtaishi1977). The sample population consisted of the following age and sex structure: two 1-year-old females, one 2-year-old male, eight 2-year-old females and 26 females aged ⩾3 years. All captured deer were tagged with earmarks for identification, and individual deer were not captured more than twice in the same month to ensure that recapture did not affect sampling. Ticks were collected from the head, pinna, body (neck: 50 × 70 mm2, body side: 100 × 150 mm2 and anus tail) and legs (elbow: 50 × 70 mm2, forelimb, knee: 50 × 70 mm2 and hindlimb) of the sika deer; only the left half of the body was examined (Fig. 1). Ticks found on the host were recorded as either feeding or questing. Owing to the extremely low number of questing ticks (only a few Ixodes spp. males), no distinction between the feeding and questing states was made in subsequent data analyses. The sampling sites were chosen based on previous studies (Matthee et al., Reference Matthee, Meltzer and Horak1997; Kiffner et al., Reference Kiffner, Lödige, Alings, Vor and Rühe2011; Mysterud et al., Reference Mysterud, Hatlegjerde and Sørensen2014). The collected ticks were identified by species, sex and life stage based on their morphological characteristics (Yamaguti et al., Reference Yamaguti, Tipton, Keegan and Toshioka1971) using a stereomicroscope. Due to the difficulty in accurately identifying larvae morphologically, they were not included in the analysis.

Figure 1. Diagram of the examined sites on the body of the sika deer: (1) head, (2) pinna, body (3: neck 50 × 70 mm2, 4: body side 100 × 150 mm2 and 5: anus and tail) and legs (6: elbow 50 × 70 mm2, 7: forelimb, 8: knee 50 × 70 mm2 and 9: hind limb); each part was examined only on the left side.

Statistical analysis

The abundance and prevalence of each tick species attached to each deer per month were determined. Tick abundance was defined as the mean number of each tick species attached per deer per month, whereas tick prevalence was defined as the proportion of infested individuals among the captured deer. The monthly mean number of ticks per body part was calculated to determine the body parts of the deer that were preferred for tick attachment. The number of ticks on different body parts was compared using the Kruskal–Wallis test (Vargha and Delaney, Reference Vargha and Delaney1998), with 3 degrees of freedom. Subsequent post-hoc analysis was conducted using the Steel–Dwass method for multiple comparison tests (Neuha and Bretz, Reference Neuha and Bretz2001). The Kruskal–Wallis test and Steel–Dwass post-hoc analysis were performed separately for each tick life stage (males, females and nymphs) as well as for the total number of ticks across all stages, to compare tick distributions among different body parts. Because most of the captured deer were females aged ⩾3 years, comparisons of tick infestation patterns by deer sex or age were not made. All statistical analyses were performed using R version 4.1.0 (R Core Team, 2021), and differences were considered statistically significant at P < 0.05. The co-occurrence patterns of different tick species and stages across attachment sites (each body part of the deer) were investigated to evaluate the inter- and intraspecific relationships between ticks. The ‘co-occurrence’ package in R (Griffith et al., Reference Griffith, Veech and Marsh2016) was used to conduct a pairwise co-occurrence analysis of the species for this analysis, determining whether the co-occurrences were positive, negative or random. This package uses an algorithm that calculates the observed and expected frequencies of co-occurrence between each pair of species and stages based on the presence/absence data across a collection on each body part. These associations were interpreted as negative or positive co-occurrences when the co-occurrence frequencies were much lower or higher than expected, respectively. In this study, 4 body parts (head, pinna, body and legs) were examined for each of the 48 host individuals, resulting in a total of 192 observations (48 individuals × 4 body parts).

Pairs with expected co-occurrence numbers of <1 were excluded from the analysis to minimize the likelihood of spurious results.

Results

All captured deer were infested with at least 1 tick, and 3026 ticks were collected during the study period. The overall composition of the tick population from 48 samplings of sika deer was 21.9% female (663/3026), 52.0% male (1574/3026) and 26.1% nymphs (789/3026). The tick species identified were Ixodes ovatus (n = 441), Ixodes persulcatus (n = 538), Haemaphysalis japonica (n = 1793) and Haemaphysalis megaspinosa (n = 254) (Table 2). The stage composition of attached ticks varied by species, with I. ovatus (males: 51, females: 379 and nymphs: 11), H. japonica (males: 1365, females: 135 and nymphs: 293) and H. megaspinosa (males: 134, females: 113 and nymphs: 7) being the predominant adults, whereas I. persulcatus (males: 24, females: 36 and nymphs: 478) were predominant at the nymphal stage (Table 2).

Table 2. Number of ticks collected from Hokkaido sika deer from June to October 2022

Monthly variation in tick infestation showed different patterns for each species (Table 2 and Fig. 2). The highest infestation by I. ovatus was observed in June (n = 256), followed by that in July (n = 133), August (n = 39), September (n = 12) and October (n = 1). Infestations of I. persulcatus nymph were relatively consistent throughout the sampling period, with a gradual decrease from June to October (June: n = 156; July: n = 131; August: n = 151; September: n = 68; October: n = 32). In contrast, the number of H. japonica decreased from June to August (June: n = 201; July: n = 93; August: n = 65) but increased rapidly from September (n = 441) to October (n = 993). Haemaphysalis megaspinosa was not observed in June, July or August but appeared in September (n = 126) and October (n = 126).

Figure 2. Seasonality of the prevalence of each tick species and their developmental stages parasitizing sika deer from June 2022 to October 2022. The horizontal axis represents the sampling month (number of deer).

The peak prevalence of I. ovatus and H. megaspinosa was observed in the same month as their peak abundances (Table 2 and Fig. 2). The prevalence of I. persulcatus, similar to its abundance, showed little monthly variation and was always higher than 70%. The trend in the prevalence of H. japonica was different from that of the other 3 species, with a high prevalence from June to August, even when the abundance was relatively low compared to September to October (June: 90%, July: 80%, August: 100%).

This study revealed that the preference for the body parts to which ticks attach varies significantly depending on the tick species (Fig. 3). In I. ovatus adults, significantly higher numbers were observed on the pinna than on other body parts from June to August (June: H-statistic = 36.0; July: H-statistic = 20.8 and August: H-statistic = 18.4). Similarly, I. persulcatus nymphs were significantly more abundant in the pinna, and this trend was observed throughout the sampling period, whereas I. persulcatus adults showed a slight preference for the head (June: H-statistic = 17.5; July: H-statistic = 29.6; August: H-statistic = 27.9; September: H-statistic = 25.9; October: H-statistic = 20.8). Conversely, H. japonica exhibited notable monthly variations in attachment sites. It was primarily found on the body and legs in June, July and August (June: H-statistic = 19.3; July: H-statistic = 18.0; August: H-statistic = 28.4); however, a significant shift was observed in September and October, with a marked aggregation on pinnae across all stages (September: H-statistic = 25.5; October: H-statistic = 17.1). This trend was observed for both nymphs and adults, but only the total number of all stages and the number of males showed statistically significant differences between September and October. In contrast to the other 3 species, which were highly aggregated on specific body parts, H. megaspinosa was widely distributed on the head and body, with preference for the pinna (September: H-statistic = 9.2; October: H-statistic = 12.8).

Figure 3. Seasonal occurrence of ticks on the examined attachment sites of infested sika deer from June 2022 to October 2022. Error bars represent standard errors of the total number of ticks attached to each site, and the horizontal axis represents the sampling month (number of deer). (t, m, f, n: P < 0.05, based on the Steel–Dwass method for total, male, female and nymph ticks, respectively.).

In the analysis of co-occurrence patterns among ticks, 66 pairs of combinations derived from different tick species and stages were considered. Consequently, 13 pairs were removed from the analysis because their expected co-occurrence was <1, leaving 53 pairs for further analysis. Positive (28%, 15/53), negative (11%, 6/53) and random co-occurrence patterns (60%, 32/53) were observed (Fig. 4). Ticks of the same species and genus tended to exhibit positive co-occurrence patterns. In particular, positive co-occurrence patterns between females and males of the same species were observed in all species and between females and nymphs in I. persulcatus and H. japonica. Conversely, females of I. ovatus showed negative co-occurrence patterns with all stages of H. japonica and both males and females of H. megaspinosa.

Figure 4. Heat map representing positive, negative and random associations of tick species/stages found in each body part of individual sika deer, as determined by the stochastic co-occurrence model in the ‘co-occurrence’ package in R. Species names and stages are arranged to show columns and rows representing pairwise relationships with other species/stages (M; male, F; female, N; nymph).

Discussion

This is the first detailed study of tick infestation patterns in the Hokkaido sika deer. Seasonal activity, attachment site preferences and co-occurrence patterns of tick species were investigated. In the current study, 4 tick species, I. ovatus, I. persulcatus, H. japonica and H. megaspinosa, were collected from Hokkaido sika deer, and each species showed unique seasonal fluctuations. Specific attachment site preferences were observed for each tick species, with H. japonica showing seasonal variation in attachment site preferences. Ticks showed various co-occurrence patterns on the body surfaces of deer, suggesting the presence of inter- and intraspecific interactions between ticks and their attachment sites. These results provided robust evidence that complex host–tick and tick–tick interactions exist during the selection of tick attachment sites, as previously suggested (Andrews et al., Reference Andrews, Petney and Park1981; Chilton et al., Reference Chilton, Bull and Andrews1992; Kiffner et al., Reference Kiffner, Lödige, Alings, Vor and Rühe2011; Baer-Lehman et al., Reference Baer-Lehman, Light, Fuller, Barry-Landis, Kindlin and Stewart2012; Mysterud et al., Reference Mysterud, Hatlegjerde and Sørensen2014; Lydecker et al., Reference Lydecker, Etheridge, Price, Banks and Hochuli2019; Tiffin et al., Reference Tiffin, Skvarla and Machtinger2021).

Adults of I. ovatus were collected in the highest numbers in June and then declined towards October. Previous studies on the seasonal activity of I. ovatus in the natural environment of Honshu, Japan reported that I. ovatus was highly active from April to mid-July but declined markedly in late-August (Fujimoto, Reference Fujimoto1996, Reference Fujimoto1997). Although sampling prior to June was not possible in this study, the activity pattern of I. ovatus, with a gradual decline beginning in June, was consistent with the activity pattern of this species reported in previous studies. In contrast, nymphs peaked in abundance and prevalence in August, but the number collected was very small throughout the study period. In general, larvae and nymphs of 2- and 3-host ticks prefer smaller animals, whereas adults prefer larger animals (McCoy et al., Reference McCoy, Léger and Dietrich2013). Given that several small- and medium-sized animal species are present in the study area (Kawamura et al., Reference Kawamura, Jimbo, Adachi, Shirane, Nakanishi, Umemura, Ishinazaka, Uno, Sashika, Tsubota and Shimozuru2022), it is likely that other animal species serve as primary hosts for I. ovatus nymphs. This preference for smaller hosts likely contributed to the low number of nymphs collected from the deer in this study.

In contrast to the other 3 species that displayed clear seasonal variation, I. persulcatus abundance remained stable throughout the study period. A study in Finland reported that I. persulcatus nymphs survived for long periods without exhibiting clear seasonal fluctuations (Pakanen et al., Reference Pakanen, Sormunen, Sippola, Blomqvist and Kallio2020), which is consistent with the results of the current study. Notably, nymphs were predominant throughout the sampling period, and adult ticks were present in very small numbers. As mentioned above, it is well known that nymphal ticks prefer small- to medium-sized mammals as hosts, while adult ticks tend to parasitize larger mammalian species (McCoy et al., Reference McCoy, Léger and Dietrich2013). However, the scarcity of I. persulcatus adults in this study suggested that there are other suitable hosts for these adults in Hokkaido. The most likely host of I. persulcatus adults is the Hokkaido brown bear, another large mammal present in Hokkaido. A previous study examining ticks infesting Hokkaido brown bears reported that most I. persulcatus infesting bears were adult ticks (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996). However, it should be noted that the previous and current studies have been conducted in different areas of Hokkaido (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996). Further investigations involving multiple wild animals at the same location are necessary to gain a better understanding of the host preferences of I. persulcatus.

The total number of H. japonica was low in summer but increased significantly in autumn. Furthermore, the increase in number from September onwards was primarily due to the presence of males, whereas the numbers of females and nymphs did not show such significant fluctuations. A similar seasonal variation was observed for H. megaspinosa, which was collected only from September onwards, with males predominating in October. A previous study on Hokkaido brown bears reported that the abundance of H. japonica and H. megaspinosa increased from November, which is somewhat different from the results of the current study (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996). Although geographic and temporal gaps between this and previous studies should be noted, these differences in results suggested that ticks establish different relationships with different animal species. The male-biased attachment in Haemaphysalis spp. observed in the current study has also been previously reported and may be related to reproductive strategies (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996; Tsunoda, Reference Tsunoda2012). Metastriate ticks, including Haemaphysalis spp., secrete pheromones that control aggregation, mating and ejaculation after attachment to the host, and they mate only on the body surface of the host, whereas Ixodes spp. frequently mate before attachment to the host (Kiszewski et al., Reference Kiszewski, Matuschka and Spielman2001). Therefore, it is advantageous for males of Haemaphysalis spp. to attach to their hosts earlier than females, wait for mates and remain on the host longer after mating (Tsunoda, Reference Tsunoda2012). Another possibility is that unmated males attempt to overwinter on the host (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996; Doi et al., Reference Doi, Kato and Hayama2018); however, research on the overwintering strategies of ticks is limited (Kim et al., Reference Kim, Jung, Kho, Song, Moon, Kim and Lee2020), and no conclusive statements can be made.

Co-occurrence analysis revealed positive co-occurrence patterns between male and female ticks of the same species, and these patterns were observed in all tick species. These results suggested that the reproductive strategy of ticks promotes male–female aggregation, as previously reported (Sonenshine, Reference Sonenshine1985, Reference Sonenshine2004). Additionally, positive co-occurrence patterns between females and nymphs were observed for I. persulcatus and H. japonica. Differences in the attachment sites at different life stages have been reported in several species (Tiffin et al., Reference Tiffin, Skvarla and Machtinger2021). Indeed, I. persulcatus nymphs were clustered on the pinna, whereas adults were attached to both the pinna and head, with a slightly higher frequency of attachment to the head. However, these two stages shared the same attachment sites on the head and pinna, possibly resulting in a positive co-occurrence pattern. These results are interesting when considering disease dynamics in nature via co-feeding transmission. Co-feeding transmission occurs when pathogens are transmitted between infected and naïve vectors that feed in close temporal and spatial proximity to hosts that have not yet developed systemic infections (Belli et al., Reference Belli, Sarr, Rais, Rego and Voordouw2017). Co-feeding transmission has been confirmed in several animals and tick species for some pathogens, such as tick-borne encephalitis virus (Labuda et al., Reference Labuda, Nuttall, Kožuch, Elečková, Williams, Žuffová and Sabó1993, Reference Labuda, Austyn, Zuffova, Kozuch, Fuchsberger, Lysy and Nuttall1996) and Borrelia burgdorferi (Gern and Rais, Reference Gern and Rais1996; Ogden et al., Reference Ogden, Nuttall and Randolph1997; Gern et al., Reference Gern, Estrada-Peña, Frandsen, Gray, Jaenson, Jongejan, Kahl, Korenberg, Mehl and Nuttall1998; Randolph et al., Reference Randolph, Gern, Richter, Allgöwer and Matuschka2003). Both pathogens are vectored by I. persulcatus in Hokkaido (Hayasaka et al., Reference Hayasaka, Suzuki, Kariwa, Ivanov, Volkov, Demenev, Mizutani, Gojobori and Takashima1999; Muto et al., Reference Muto, Bazartseren, Tsevel, Dashzevge, Yoshii and Kariwa2015; Okado et al., Reference Okado, Adjou Moumouni, Lee, Sivakumar, Yokoyama, Fujisaki, Suzuki, Xuan and Umemiya-Shirafuji2021). The results of this study suggested that similarities in attachment site preference between ticks at different stages could potentially facilitate co-feeding transmission. Hence, this study has important implications for understanding the dynamics of TBDs in wildlife and highlights the need for further research to understand how ticks of different species and stages interact with each other. The results of the co-occurrence analysis of different species showed negative co-occurrence patterns between I. ovatus and Haemaphysalis spp. Three hypotheses may explain the positive and negative co-occurrence patterns of ticks among different species.

The first hypothesis was that similarities and differences in phenology between the same or different genera and species affect co-occurrence patterns. Indeed, previous studies have reported phenological differences between Ixodes spp. and Haemaphysalis spp. and similarities within the same genus (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996; Kanamori et al., Reference Kanamori, Kawabata, Arai, Katayama, Fujita, Yano and Takada2009). In the current study, I. ovatus and H. megaspinosa peaked in abundance and infestation rates in summer and autumn, respectively. A previous study also reported clear phenological differences between the two species (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996). Based on these results, phenological differences may be the most plausible explanation for the negative co-occurrence patterns observed between the two species.

The second hypothesis was that morphological similarities within the same taxon promote positive co-occurrence among tick species of the same genus. A previous study on similar attachment site preferences within the same subgroups of ectoparasites supports this hypothesis (Pilosof et al., Reference Pilosof, Lareschi and Krasnov2012). The most prominent morphological difference between Ixodes spp. and Haemaphysalis spp. is the length of their mouthparts, which consists of a pair of chelicerae and a single hypostome. Ixodes spp. have longer and sharper mouthparts than Haemaphysalis spp. and secrete fewer cementing substances to hold the body in place during engorgement (Balashov, Reference Balashov1972). Such morphological differences could influence the availability of host blood vessels and resistance to grooming (Pilosof et al., Reference Pilosof, Lareschi and Krasnov2012) and may explain the similarities in attachment site preferences among the same genus groups. The fact that I. ovatus adults and I. persulcatus nymphs were primarily attached to the pinna during the study period suggests a high degree of compatibility with the pinna. The pinna has been reported to be the preferred feeding site for certain ticks that feed on ungulates because it is difficult for the host to groom this area with its mouth and legs (Matthee et al., Reference Matthee, Meltzer and Horak1997; Handeland et al., Reference Handeland, Qviller, Vikøren, Viljugrein, Lillehaug and Davidson2013; Mysterud et al., Reference Mysterud, Hatlegjerde and Sørensen2014). In contrast, the distribution of H. megaspinosa was wider than that of the other tick species found in the current study and was distributed on the head, pinna and body. Similar attachment patterns have been observed in other tick species (Sundstrom et al., Reference Sundstrom, Lineberry, Grant, Duncan, Ientile and Little2021; Tiffin et al., Reference Tiffin, Skvarla and Machtinger2021). This suggested that some species may have adapted to a wide range of host body parts. However, the negative co-occurrence patterns of I. ovatus and H. japonica could not be explained by phenological and morphological differences alone. This is because, although both species had a high prevalence in June and July, the attachment sites were separate, and H. japonica showed dynamics such that it moved to the pinna from September onwards when I. ovatus was no longer present. This suggested that other factors play a role in the co-occurrence patterns.

The third hypothesis was that negative co-occurrence patterns were formed to avoid interference due to similarities in semiochemical communication, which may explain the patterns of I. ovatus and H. japonica. Semiochemical-mediated changes in tick behaviour and intra- and interspecific communication are well known (Sonenshine, Reference Sonenshine2004), and in some cases, some species use the same chemicals. For example, it has been reported that Ixodes ricinus and I. scapularis exhibit similar arrest behaviours by guanine and xanthine (Sonenshine, Reference Sonenshine2004). In metastriate ticks, differences in the concentrations of 2,6-dichlorophenol induce different reactions depending on the species (Sonenshine, Reference Sonenshine1985). Furthermore, when reptile ticks, such as Bothriocroton hydrosauri, Amblyomma albolimbatum and Amblyomma limbatum infest the same host, the movement of males searching for sexually receptive females is constrained, and males display courtship behaviour towards females of different species (Andrews et al., Reference Andrews, Petney and Bull1982a). It has been suggested that such signal interference may promote spatial separation among tick species (Andrews et al., Reference Andrews, Petney and Bull1982b; Chilton et al., Reference Chilton, Bull and Andrews1992). Although there have been no previous reports on the interference of semiochemical communication between I. ovatus and H. japonica, this is the first study to suggest an interspecific interaction between these two species at the field level. Laboratory-based behavioural studies are necessary to investigate the semiochemical-mediated relationship between these two species.

Random co-occurrence was the most frequently observed among all the co-occurrence patterns. It is well known that ticks of different species feed on the same host (Baer-Lehman et al., Reference Baer-Lehman, Light, Fuller, Barry-Landis, Kindlin and Stewart2012; Gómez-Rodríguez et al., Reference Gómez-Rodríguez, Gutiérrez-Granados, Montiel-Parra, Rodríguez-Moreno and Sánchez-Cordero2015; Cayol et al., Reference Cayol, Jääskeläinen, Koskela, Kyröläinen, Mappes, Siukkola and Kallio2018). Therefore, it is not surprising that the neutral interspecific relationships suggested by the random co-occurrence patterns were most frequently observed. Neutral interspecific relationships are beneficial when sufficient resources (hosts) are available for tick survival (Canard et al., Reference Canard, Mouquet, Marescot, Gaston, Gravel and Mouillot2012; Butler et al., Reference Butler, Kennedy, Houston, Bowers, Coons, Paulsen and Trout Fryxell2021). The tick species collected in this study are generalists that feed on various hosts (Ozawa and Kadosaki, Reference Ozawa and Kadosaki1996; Sashika et al., Reference Sashika, Abe, Matsumoto and Inokuma2011; Tsunoda, Reference Tsunoda2012; Elbaz et al., Reference Elbaz, Moustafa, Lee, Ching, Shimozuru, Sashika, Nakao, El-khodery and Tsubota2020). Furthermore, sika deer are bigger than other land mammals (the average was 76.2 kg in this study), providing ticks with a large feeding area and abundant blood meals (Iijima et al., Reference Iijima, Watari, Furukawa and Okabe2022), and deer density in the study area has been reported to be very high (Uno et al., Reference Uno, Inatomi, Ueno, Kaji, Kaji, Uno and Iijima2022). Therefore, it is likely that ticks have sufficient feeding resources in the study area and that a neutral relationship prevailed.

This study suggested that each tick species has unique attachment site preferences on the Hokkaido sika deer body surface and positive, negative or random co-occurrence patterns with ticks of both conspecific and heterospecific groups. However, it is important to note that the observed interactions between tick species might be the result of various confounding factors. The risk of inferring species interactions from observational data has been previously discussed. Confounding effects may occur at the host individual (host age and sex), population (host sex ratio, age structure and density), parasite (presence of risk factors shared by two or more parasites) or landscape level (geological and climatic factors) (Hellard et al., Reference Hellard, Fouchet, Vavre and Pontier2015). In particular, it was not possible to examine how deer host characteristics, such as sex and age affect tick infestation. Nonetheless, this is the first study to suggest the possibility of tick species interactions on wild sika deer, highlighting the need for further experimental studies to elucidate the underlying mechanisms.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgements

The authors acknowledge the Shiretoko Nature Foundation staff, Laboratory of Parasitology and Laboratory of Wildlife Biology and Medicine (Hokkaido University, School of Veterinary Medicine) for their technical assistance and sample collection and Editage (www.editage.jp) for English language editing by a native speaker.

Author contributions

K. S., M. S., R. N. and T. T. conceived and planned the project, obtained funding and wrote the manuscript. K. S., M. S., M. Y., G. I. and T. T. conducted the sampling. K. S. identified the ticks and statistical processing.

Financial support

This work was supported by the JST SPRING (grant PH8D230001), Asahi Glass Foundation (grant 2021-94), the Japan Society for the Promotion of Science (grant 21H02350 and 23K23770) and World-leading Innovative and Smart Education (WISE) Program (grant 1801).

Competing interests

None.

Ethical standards

All procedures involving the capture and sampling of live animals were conducted in accordance with the Guidelines for Animal Care and Use, Hokkaido University, and with the approval of the Animal Care and Use Committee of the Graduate School of Veterinary Medicine, Hokkaido University (Permit Number: 22-0016).

References

Andrews, RH, Petney, TN and Park, B (1981). Competition for sites of attachment to hosts in three parapatric species of reptile tick. Oecologia 51, 227232.CrossRefGoogle ScholarPubMed
Andrews, RH, Petney, TN and Bull, CM (1982a) Reproductive interference between three parapatric species of reptile tick. Oecologia 52, 281286.CrossRefGoogle ScholarPubMed
Andrews, RH, Petney, TN and Bull, CM (1982b) Niche changes between parasite populations: an example from ticks on reptiles. Oecologia 55, 7780.CrossRefGoogle ScholarPubMed
Baer-Lehman, ML, Light, T, Fuller, NW, Barry-Landis, KD, Kindlin, CM and Stewart, RL (2012) Evidence for competition between Ixodes scapularis and Dermacentor albipictus feeding concurrently on white-tailed deer. Experimental and Applied Acarology 58, 301314.CrossRefGoogle ScholarPubMed
Balashov, YS (1972) Bloodsucking ticks (Ixodoidea)-vectors of diseases of man and animals. Translated by O. G. Strekalovski. Miscellaneous Publications of the Entomological Society of America 8, 161376.Google Scholar
Belli, A, Sarr, A, Rais, O, Rego, ROM and Voordouw, MJ (2017) Ticks infected via co-feeding transmission can transmit Lyme borreliosis to vertebrate hosts. Scientific Reports 7, 113.CrossRefGoogle ScholarPubMed
Butler, RA, Kennedy, ML, Houston, AE, Bowers, EK, Coons, LB, Paulsen, D and Trout Fryxell, RT (2021) No evidence of competition between the blacklegged tick (Acari: Ixodidae) and American dog tick on the rodent host white-footed deermouse (Rodentia: Cricetidae) in Southwestern Tennessee. Journal of Medical Entomology 58, 14701475.CrossRefGoogle Scholar
Canard, E, Mouquet, N, Marescot, L, Gaston, KJ, Gravel, D and Mouillot, D (2012) Emergence of structural patterns in neutral trophic networks. PLoS ONE 7, 18.CrossRefGoogle ScholarPubMed
Cayol, C, Jääskeläinen, A, Koskela, E, Kyröläinen, S, Mappes, T, Siukkola, A and Kallio, ER (2018) Sympatric Ixodes-tick species: pattern of distribution and pathogen transmission within wild rodent populations. Scientific Reports 8, 110.CrossRefGoogle ScholarPubMed
Chilton, NB, Bull, CM and Andrews, RH (1992) Niche segregation in reptile ticks: attachment sites and reproductive success of females. Oecologia 90, 255259.CrossRefGoogle ScholarPubMed
Doi, K, Kato, T and Hayama, SI (2018) Infestation of introduced raccoons (Procyon lotor) with indigenous ixodid ticks on the Miura Peninsula, Kanagawa Prefecture, Japan. International Journal for Parasitology: Parasites and Wildlife 7, 355359.Google ScholarPubMed
Elbaz, E, Moustafa, MAM, Lee, K, Mohamed, WMA, Nakao, R, Shimozuru, M, Sashika, M, Younis, EEA, El-khodery, SA and Tsubota, T (2017) Molecular identification and characterization of piroplasm species in Hokkaido sika deer (Cervus nippon yesoensis), Japan. Ticks and Tick-Borne Diseases 8, 802807.CrossRefGoogle ScholarPubMed
Elbaz, E, Moustafa, MAM, Lee, K, Ching, ALC, Shimozuru, M, Sashika, M, Nakao, R, El-khodery, SA and Tsubota, T (2020) Utilizing attached hard ticks as pointers to the risk of infection by Babesia and Theileria species in sika deer (Cervus nippon yesoensis), in Japan. Experimental and Applied Acarology 82, 411429.CrossRefGoogle Scholar
Fellin, E and Schulte-Hostedde, A (2022) Effects of ticks on community assemblages of ectoparasites in deer mice. Ticks and Tick-Borne Diseases 13, 101846.CrossRefGoogle ScholarPubMed
Fenton, A, Viney, ME and Lello, J (2010) Detecting interspecific macroparasite interactions from ecological data: patterns and process. Ecology Letters 13, 606615.CrossRefGoogle ScholarPubMed
Fracasso, G, Matthysen, E, Dhondt, AA and Heylen, D (2019) Experimental study of micro-habitat selection by ixodid ticks feeding on avian hosts. International Journal for Parasitology 49, 10051014.CrossRefGoogle ScholarPubMed
Fujimoto, K (1996) Effect of repeated removal in a survey the seasonal activity of Ixodes ovatus adults (Acari: Ixodidae) by the flagging method. Medical Entomology and Zoology 47, 375377.CrossRefGoogle Scholar
Fujimoto, K (1997) Disappearance of Ixodes ovatus adults (Acari: Ixodidae) in autumn clarified by analysis of field and experimental studies. Medical Entomology and Zoology 48, 275278.CrossRefGoogle Scholar
Gern, L and Rais, O (1996) Efficient transmission of Borrelia burgdorferi between cofeeding Ixodes ricinus ticks (Acari: Ixodidae). Journal of Medical Entomology 33, 189192.CrossRefGoogle ScholarPubMed
Gern, L, Estrada-Peña, A, Frandsen, F, Gray, JS, Jaenson, TGT, Jongejan, F, Kahl, O, Korenberg, E, Mehl, R and Nuttall, PA (1998) European reservoir hosts of Borrelia burgdorferi sensu lato. Zentralblatt fur Bakteriologie 287, 196204.CrossRefGoogle ScholarPubMed
Gómez-Rodríguez, RA, Gutiérrez-Granados, G, Montiel-Parra, G, Rodríguez-Moreno, Á and Sánchez-Cordero, V (2015) Diversity and coexistence of ectoparasites in small rodents in a tropical dry forest. Biotropica 47, 484490.CrossRefGoogle Scholar
Griffith, DM, Veech, JA and Marsh, CJ (2016) Cooccur: probabilistic species co-occurrence analysis in R. Journal of Statistical Software 69, 117.CrossRefGoogle Scholar
Handeland, K, Qviller, L, Vikøren, T, Viljugrein, H, Lillehaug, A and Davidson, RK (2013) Ixodes ricinus infestation in free-ranging cervids in Norway – a study based upon ear examinations of hunted animals. Veterinary Parasitology 195, 142149.CrossRefGoogle ScholarPubMed
Hayasaka, D, Suzuki, Y, Kariwa, H, Ivanov, L, Volkov, V, Demenev, V, Mizutani, T, Gojobori, T and Takashima, I (1999) Phylogenetic and virulence analysis of tick-borne encephalitis viruses from Japan and far-eastern Russia. Journal of General Virology 80, 31273135.CrossRefGoogle ScholarPubMed
Hellard, E, Fouchet, D, Vavre, F and Pontier, D (2015) Parasite–parasite interactions in the wild: how to detect them? Trends in Parasitology 31, 640652.CrossRefGoogle Scholar
Iijima, H, Watari, Y, Furukawa, T and Okabe, K (2022) Importance of host abundance and microhabitat in tick abundance. Journal of Medical Entomology 59, 21102119.CrossRefGoogle ScholarPubMed
Ikeda, T and Koizumi, I (2024) Evaluation of multiple behavioral responses of sika deer to human hunting pressures. Journal of Wildlife Management 88, 113.Google Scholar
Kanamori, H, Kawabata, H, Arai, S, Katayama, T, Fujita, H, Yano, Y and Takada, N (2009) Tick fauna associated with sika deer density in the Shimane Peninsula, Honshu, Japan. Medical Entomology and Zoology 60, 297304.Google Scholar
Kar, S, Dervis, E, Akın, A, Ergonul, O and Gargili, A (2013) Preferences of different tick species for human hosts in Turkey. Experimental and Applied Acarology 61, 349355.CrossRefGoogle ScholarPubMed
Kawamura, K, Jimbo, M, Adachi, K, Shirane, Y, Nakanishi, M, Umemura, Y, Ishinazaka, T, Uno, H, Sashika, M, Tsubota, T and Shimozuru, M (2022) Diel and monthly activity pattern of brown bears and sika deer in the Shiretoko Peninsula, Hokkaido, Japan. Journal of Veterinary Medical Science 84, 11461156.CrossRefGoogle ScholarPubMed
Kiffner, C, Lödige, C, Alings, M, Vor, T and Rühe, F (2011) Attachment site selection of ticks on roe deer, Capreolus capreolus. Experimental and Applied Acarology 53, 7994.CrossRefGoogle ScholarPubMed
Kim, JY, Jung, M, Kho, JW, Song, H, Moon, KH, Kim, YH and Lee, DH (2020) Characterization of overwintering sites of Haemaphysalis longicornis (Acari: Ixodidae) and tick infection rate with severe fever with thrombocytopenia syndrome virus from eight provinces in South Korea. Ticks and Tick-borne Diseases 11, 101490.CrossRefGoogle ScholarPubMed
Kiszewski, AE, Matuschka, F and Spielman, A (2001) Mating strategies and spermiogenesis in ixodid ticks. Annual Review of Entomology 46, 167182.CrossRefGoogle ScholarPubMed
Labuda, M, Nuttall, PA, Kožuch, O, Elečková, E, Williams, T, Žuffová, E and Sabó, A (1993) Non-viraemic transmission of tick-borne encephalitis virus: a mechanism for arbovirus survival in nature. Experientia 49, 802805.CrossRefGoogle ScholarPubMed
Labuda, M, Austyn, JM, Zuffova, E, Kozuch, O, Fuchsberger, N, Lysy, J and Nuttall, PA (1996) Importance of localized skin infection in tick-borne encephalitis virus transmission. Virology 219, 357366.CrossRefGoogle ScholarPubMed
Lee, K, Takano, A, Taylor, K, Sashika, M, Shimozuru, M, Konnai, S, Kawabata, H and Tsubota, T (2014) A relapsing fever group Borrelia sp. similar to Borrelia lonestari found among wild sika deer (Cervus nippon yesoensis) and Haemaphysalis spp. ticks in Hokkaido, Japan. Ticks and Tick-borne Diseases 5, 841847.CrossRefGoogle ScholarPubMed
Lutermann, H, Fagir, DM and Bennett, NC (2015) Complex interactions within the ectoparasite community of the eastern rock sengi (Elephantulus myurus). International Journal for Parasitology: Parasites and Wildlife 4, 148158.Google ScholarPubMed
Lydecker, HW, Etheridge, B, Price, C, Banks, PB and Hochuli, DF (2019) Landscapes within landscapes: a parasite utilizes different ecological niches on the host landscapes of two host species. Acta Tropica 193, 6065.CrossRefGoogle ScholarPubMed
Matthee, S, Meltzer, DGA and Horak, IG (1997) Sites of attachment and density assessment of ixodid ticks (Acari: Ixodidae) on impala (Aepyceros melampus). Experimental and Applied Acarology 21, 179192.CrossRefGoogle ScholarPubMed
McCoy, KD, Léger, E and Dietrich, M (2013) Host specialization in ticks and transmission of tick-borne diseases: a review. Frontiers in Cellular and Infection Microbiology 4, 112.Google Scholar
Muto, M, Bazartseren, B, Tsevel, B, Dashzevge, E, Yoshii, K and Kariwa, H (2015) Isolation and characterization of tick-borne encephalitis virus from Ixodes persulcatus in Mongolia in 2012. Ticks and Tick-borne Diseases 6, 623629.CrossRefGoogle ScholarPubMed
Mysterud, A, Hatlegjerde, IL and Sørensen, OJ (2014) Attachment site selection of life stages of Ixodes ricinus ticks on a main large host in Europe, the red deer (Cervus elaphus). Parasites & Vectors 7, 15.Google ScholarPubMed
Neuha, M and Bretz, F (2001) Nonparametric all-pairs multiple comparisons. Biometrical Journal 43, 571580.Google Scholar
Ogden, NH, Nuttall, PA and Randolph, SE (1997) Natural Lyme disease cycles maintained via sheep by cofeeding ticks. Parasitology 115, 591599.CrossRefGoogle Scholar
Ohtaishi, N (1977) Age determination of mammals. Mammalian Science 17, 117.Google Scholar
Okado, K, Adjou Moumouni, PF, Lee, SH, Sivakumar, T, Yokoyama, N, Fujisaki, K, Suzuki, H, Xuan, X and Umemiya-Shirafuji, R (2021) Molecular detection of Borrelia burgdorferi (sensu lato) and Rickettsia spp. in hard ticks distributed in Tokachi District, eastern Hokkaido, Japan. Current Research in Parasitology and Vector-Borne Diseases 1, 100059.CrossRefGoogle ScholarPubMed
Onuma, M, Takahashi, H, Makoto, A, Mayumi, U, Masatsugu, S and Koichi, K (2005) The capture and chemical immobilization of wild Hokkaido sika deer (Cervus nippon yesoensis). Japanese Society of Zoo and Wildlife Medicine 10, 1926.CrossRefGoogle Scholar
Ozawa, Y and Kadosaki, M (1996) Seasonal dynamics of the population of the five species of ticks collected from the brown bear and its habitat in Hokkaido. Journal of the Japanese Wildlife Research Society 22, 2942.Google Scholar
Pakanen, VM, Sormunen, JJ, Sippola, E, Blomqvist, D and Kallio, ER (2020) Questing abundance of adult taiga ticks Ixodes persulcatus and their Borrelia prevalence at the north-western part of their distribution. Parasites & Vectors 13, 19.CrossRefGoogle ScholarPubMed
Pilosof, S, Lareschi, M and Krasnov, BR (2012) Host body microcosm and ectoparasite infracommunities: arthropod ectoparasites are not spatially segregated. Parasitology 139, 17391748.CrossRefGoogle Scholar
Randolph, S, Gern, L, Richter, D, Allgöwer, R and Matuschka, FR (2003) Co-feeding transmission and its contribution to the perpetuation of the Lyme disease spirochete Borrelia afzelii. Emerging Infectious Diseases 9, 893896.CrossRefGoogle Scholar
R Core Team (2021) R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.Google Scholar
Reiczigel, J and Rózsa, L (1998) Host-mediated site segregation of ectoparasites: an individual-based simulation study. Journal of Parasitology 84, 491498.CrossRefGoogle ScholarPubMed
Sashika, M, Abe, G, Matsumoto, K and Inokuma, H (2011) Molecular survey of Anaplasma and Ehrlichia infections of feral raccoons (Procyon lotor) in Hokkaido, Japan. Vector-Borne and Zoonotic Diseases 11, 349354.CrossRefGoogle ScholarPubMed
Schmidtmann, ET, Carroll, JF and Watson, DW (1998) Attachment-site patterns of adult blacklegged ticks (Acari: Ixodidae) on white-tailed deer and horses. Journal of Medical Entomology 35, 5963.CrossRefGoogle ScholarPubMed
Sonenshine, DE (1985) Pheromones and other semiochemicals of the Acari. Annual Review of Entomology 30, 128.CrossRefGoogle ScholarPubMed
Sonenshine, DE (2004) Pheromones and other semiochemicals of ticks and their use in tick control. Parasitology 129, 405425.CrossRefGoogle ScholarPubMed
Sundstrom, KD, Lineberry, MW, Grant, AN, Duncan, KT, Ientile, MM and Little, SE (2021) Equine attachment site preferences and seasonality of common North American ticks: Amblyomma americanum, Dermacentor albipictus, and Ixodes scapularis. Parasites & Vectors 14, 17.CrossRefGoogle ScholarPubMed
Tiffin, HS, Skvarla, MJ and Machtinger, ET (2021) Tick abundance and life-stage segregation on the American black bear (Ursus americanus). International Journal for Parasitology: Parasites and Wildlife 16, 208216.Google ScholarPubMed
Tsukada, H, Nakamura, Y, Kamio, T, Inokuma, H, Hanafusa, Y, Matsuda, N, Maruyama, T, Ohba, T and Nagata, K (2014) Higher sika deer density is associated with higher local abundance of Haemaphysalis longicornis nymphs and adults but not larvae in central Japan. Bulletin of Entomological Research 104, 1928.CrossRefGoogle Scholar
Tsunoda, T (2012) The tick fauna parasitizing middle- and large-sized mammals in Chiba Prefecture, Central Japan. Journal of the Natural History Museum and Institute, Chiba 1, 3342.Google Scholar
Uno, H, Inatomi, Y, Ueno, M and Kaji, K (2022) Adaptive management of sika deer populations on Hokkaido Island, Japan. In Kaji, K, Uno, H and Iijima, H (eds), Sika Deer: Life History Plasticity and Management. Singapore: Springer Nature Singapore, pp. 553568.CrossRefGoogle Scholar
Vargha, A and Delaney, HD (1998) The Kruskal–Wallis test and stochastic homogeneity. Journal of Educational and Behavioral Statistics 23, 170192.CrossRefGoogle Scholar
Yamaguti, N, Tipton, VJ, Keegan, HL and Toshioka, S (1971) Ticks of Japan, Korea, and the Ryukyu Islands. Brigham Young University Science Bulletin Biological Series 15, 1.Google Scholar
Figure 0

Table 1. Climate information for the sampling period in Utoro, Japan, the closest climate observation point to the study area

Figure 1

Figure 1. Diagram of the examined sites on the body of the sika deer: (1) head, (2) pinna, body (3: neck 50 × 70 mm2, 4: body side 100 × 150 mm2 and 5: anus and tail) and legs (6: elbow 50 × 70 mm2, 7: forelimb, 8: knee 50 × 70 mm2 and 9: hind limb); each part was examined only on the left side.

Figure 2

Table 2. Number of ticks collected from Hokkaido sika deer from June to October 2022

Figure 3

Figure 2. Seasonality of the prevalence of each tick species and their developmental stages parasitizing sika deer from June 2022 to October 2022. The horizontal axis represents the sampling month (number of deer).

Figure 4

Figure 3. Seasonal occurrence of ticks on the examined attachment sites of infested sika deer from June 2022 to October 2022. Error bars represent standard errors of the total number of ticks attached to each site, and the horizontal axis represents the sampling month (number of deer). (t, m, f, n: P < 0.05, based on the Steel–Dwass method for total, male, female and nymph ticks, respectively.).

Figure 5

Figure 4. Heat map representing positive, negative and random associations of tick species/stages found in each body part of individual sika deer, as determined by the stochastic co-occurrence model in the ‘co-occurrence’ package in R. Species names and stages are arranged to show columns and rows representing pairwise relationships with other species/stages (M; male, F; female, N; nymph).