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International Journal for Parasitology: Parasites and Wildlife logoLink to International Journal for Parasitology: Parasites and Wildlife
. 2025 Aug 10;28:101128. doi: 10.1016/j.ijppaw.2025.101128

Wild mammals as hosts of Rickettsia: a molecular evidence-based review

Agnieszka Perec-Matysiak a,⁎, Katarzyna Buńkowska-Gawlik a, Laura Tomassone b, Joanna Hildebrand a
PMCID: PMC12392648  PMID: 40896554

Abstract

Rickettsia spp. are obligate intracellular bacteria that infect eukaryotic cells. These agents are transmitted primarily by hard ticks and other hematophagous arthropods, which are the vectors and primary reservoirs of several species. However, in the natural environment, Rickettsia spp. has been identified in wild and domestic mammals, as well as in ticks. This review comprehensively addresses the occurrence of rickettsiae in tissues of wild mammals on a global scale, considering different host groups across continents. Rickettsia DNA has been detected in bats, ungulates, carnivores, rodents and primates, thus underlining the broad spectrum of potential reservoirs. Extant evidence suggests that some may play role in endemic cycles of the bacteria. In Europe, a significant prevalence of Rickettsia DNA has been demonstrated in small rodents, indicating their potential as natural reservoir hosts. Research conducted in Asia and Africa has identified various Rickettsia species in rodents and insectivores, emphasizing their role in zoonotic transmission. The role of mammals as reservoirs of rickettsiae remains to be definitively established.

Keywords: Rickettsia spp., Reservoir hosts, Wildlife, DNA, Molecular tools

Graphical abstract

Image 1

HIGHLIGHTS

  • •

    In the natural environment, Rickettsia spp. has been identified in wild and domestic mammals, as well as in ticks

  • •

    Rickettsia DNA has been detected in bats, ungulates, carnivores, rodents and primates, thus underlining the broad spectrum of potential reservoirs

  • •

    In Europe, a significant prevalence of Rickettsia DNA has been demonstrated in small rodents, indicating their potential as natural reservoir hosts

  • •

    Research conducted in Asia and Africa has identified various Rickettsia species in rodents and insectivores, emphasizing their role in zoonotic transmission

1. Background

The genus Rickettsia da Rocha-Lima, 1916, belonging to the order Rickettsiales and the family Rickettsiaceae, includes Gram-negative, non-motile, non-spore-forming, pleomorphic bacteria that may appear as cocci (0.1 μm in diameter), rods (0.3–0.5 μm × 0.8–2.0 μm), or thread-like (10 μm long), without flagella or pili. The type species of the genus is Rickettsia prowazekii. Representatives of the genus Rickettsia are obligate intracellular bacteria that infect eukaryotic cells (Guillemi et al., 2015). Rickettsiae enter the host cell by inducing phagocytosis, then escape from the phagosome to grow and reproduce within the cytoplasm of the host cell. They are transmitted mainly by hard ticks and other hematophagous arthropods (Merhej et al., 2014). Their reservoir in nature are wild and domestic animals and ticks themselves (Parola et al., 2013). Rickettsia is unable to survive in artificial nutrient environments and can only grow in tissue or embryo cultures. The genome of Rickettsia is small, between 1.1 and 1.6 Mb.

Some species of Rickettsia have varied pathogenicity for vertebrates and humans. In humans, Rickettsia spp. causes different diseases, i.e., the louse- and flea-transmitted typhus group rickettsiae cause epidemic and endemic typhus; the tick-transmitted spotted fever group rickettsiae (e.g., Mediterranean spotted fever - MSF, Lymphangitis-associated rickettsioses -LAR, Tick-borne lymphadenopathy - TIBOLA, Dermacentor-borne necrosis erythema lymphadenopathy - DEBONEL, and Scalp eschar and neck lymphadenopathy - SENLAT). Mites transmit the spotted fever rickettsia, causing rickettsial pox, and the scrub typhus rickettsia, causing tsutsugamushi fever (Oteo and Portillo, 2012). Although intensive research on rickettsiae has been conducted in recent years, it is interesting that almost 60 years ago, a study on the pathogenesis of Rickettsia infections was provided. In the experimental infection, researchers exposed monkeys to R. rickettsii via aerosol. The infected monkeys developed clinical signs and pathological changes characteristic of epidemic typhus infection in humans, including increases in leukocyte counts and typhus nodules in the brain (Saslaw and Carlisle, 1966).

Based on genomic studies of species belonging to the Rickettsia genus, Gillespie et al. (2008) proposed a modern version of the Rickettsia classification including four groups: the ancestral group (AG), typhus group (TG), transitional group (TRG), and spotted fever group (SFG). The ancestral group includes non-pathogenic endosymbiotic R. bellii and R. canadensis. The TG group consists of R. prowazekii and R. typhi, which cause typhus. The TGR group contains R. felis (murine typhus-like) and R. akari (rickettsial pox). The spotted fever group comprises the most species with different levels of pathogenicity, which are not always confirmed. The recent phylogenetic analysis based on whole bacterial genomes divided the Rickettsia genus into five groups: I belli group (BG), II canadensis group (CG), III typhus group (TG), IV spotted fever group II (earlier TGR); and V spotted fever group I; additionally, R. helvetica was proposed as an independent clade (Rymaszewska and Piotrowski, 2024).

1.1. Wildlife–human interactions and the potential spillover of Rickettsia

Wildlife significantly influences the ecology of tick-borne pathogens (TBPs) by acting as hosts and reservoirs. Certain wild animals, including carnivores, provide essential blood meals that support tick development and reproduction. Additionally, wildlife can harbor pathogens without necessarily showing symptoms, maintaining the pathogens within the environment (Tsao et al., 2021).

Interactions between humans and wildlife can significantly influence the risk of zoonotic spillover of Rickettsia species. These interactions can increase spillover risks through several pathways. 1. Habitat loss, fragmentation, and land-use changes. Human activities such as deforestation, urban expansion, and agricultural development disrupt natural habitats, displacing wildlife and altering the distribution of host species. This displacement can force wildlife into closer proximity with human populations, increasing opportunities for direct contact and the potential transmission of pathogens (e.g., red foxes and raccoons). Additionally, changes in land use can affect vector breeding patterns, further influencing the dynamics of disease transmission. 2. Disease transmission between humans, animals, and the environment. Environments where humans and animals interact - such as markets, farms, and recreational areas - serve as interfaces that facilitate the transmission of zoonotic agents. These settings provide opportunities for pathogens to spill over from wildlife to humans, especially when biosecurity measures are inadequate or when animals are stressed due to captivity or transportation. Notably, such interfaces can also lead to “spill-back,” where pathogens move from humans to domestic animals or wildlife, further complicating disease dynamics (Desvars-Larrive et al., 2024). 3. Direct wildlife-human interactions. Activities like hunting, wildlife trade, and outdoor recreational activities can bring humans into direct contact with wildlife, increasing the risk of exposure to zoonotic pathogens, including Rickettsia species. For example, the incidence of tick-borne rickettsial disease in the southeastern United States has been rising, and the range expansions of tick species and tick-borne infectious agents, new and old, have resulted in an unprecedented mix of vectors and pathogens. Three human-biting ticks, Dermacentor variabilis, Amblyomma americanum, and A. maculatum, are largely responsible for the spread of rickettsial pathogens such as R. rickettsii, R. montanensis, and R. parkeri, highlighting the role of direct interactions in disease transmission (Nadolny et al., 2014). 4. Environmental modification and vector dynamics. Human-induced environmental changes, such as altering water sources or modifying vegetation, can lead to changes in vector populations and their interactions with hosts, potentially increasing the risk of pathogen transmission. Understanding these dynamics is crucial, as evidenced by studies examining the eco-epidemiology of R. amblyommatis and R. parkeri, which are transmitted by ticks in various environments. Ecological factors, particularly those in deciduous and mixed forests as well as agricultural and livestock areas, play significant roles in the distribution of Rickettsia species. These environments influence the habitats of tick vectors, thereby affecting pathogens’ prevalence (Gual-Gonzalez et al., 2024). Despite limited clinical evidence of R. amblyommatis pathogenicity, this SFGR species has the potential to play a regulatory role through a possible inhibitory interaction with R. parkeri. Ticks infected with R. amblyommatis appear less likely to harbor and transmit other SFGR pathogens, highlighting their potential role in public health. Given the widespread presence of A. americanum ticks and the relatively low incidence of R. parkeri infections, it is hypothesized that a higher prevalence of R. amblyommatis-infected A. americanum could lead to reduced transmission of SFGR among humans.

1.2. Environmental and ecological factors influencing Rickettsia occurrence in wildlife

In Central Europe, Ixodes ricinus, Dermacentor reticulatus, and D. marginatus are the primary tick species responsible for transmitting and hosting Rickettsia spp. (Karbowiak et al., 2016). These ticks are integral to the persistence and spread of Rickettsia spp., as they facilitate both vertical transmission (transovarial and transstadial) and horizontal transmission (from infected hosts to ticks and vice versa), as well as co-feeding (Eremeeva and Dasch, 2015). While ticks serve as vectors, acquiring Rickettsia during blood meals from infected vertebrates, the bacteria multiply within the vertebrate host's endothelial cells, facilitating transmission when the tick feeds again. This cycle underscores the critical role of vertebrate hosts in maintaining and spreading within ecosystems. Understanding the interactions between bacteria, hosts, and vectors is crucial, especially in light of environmental and socio-economic changes that are affecting tick habitats and contributing to an increase in human cases of tick-borne diseases. This is particularly important in the context of the emergence of new Rickettsia species (Kim, 2022).

Ixodes ricinus, recognized as one of the most significant vectors worldwide, is the most prevalent tick species parasitizing humans. Its geographical range is determined by environmental factors such as temperature and humidity, which influence its survival and spread (Medlock et al., 2012; Dyczko et al., 2024). Previous research suggests that climate change may expand the areas suitable for I. ricinus, potentially raising the risk of Rickettsia spp. Infections and other tick-borne diseases are spreading in regions that were previously unaffected. Some studies have demonstrated that variations in temperature, humidity, rainfall, and other climate factors can directly impact the life cycle and distribution of ticks, subsequently influencing the transmission patterns of Rickettsia. Warmer and wetter conditions typically support larger tick populations, which can lead to a higher incidence of tick-borne diseases, including those caused by Rickettsia spp. (Cunze et al., 2022). Conversely, extreme weather events such as heatwaves, cold spells, and flooding, likely linked to climate change, can disrupt tick populations and their activity, potentially decreasing Rickettsia prevalence in some areas (Gray et al., 2009; Ogden et al., 2021). Urbanization and habitat fragmentation, which result in changes to the availability and quality of forest habitats, have been identified as major factors influencing tick populations and the spread of tick-borne diseases (Hansford et al., 2023). Moreover, environmental changes such as deforestation and human-driven alterations to natural habitats can impact the distribution of tick populations and their pathogen load, ultimately affecting the epidemiology of tick-borne diseases (Medlock et al., 2012; Tack et al., 2013). Ultimately, the infection rates of I. ricinus with Rickettsia spp. are shaped by a range of factors, such as the presence of appropriate hosts, environmental conditions, and the genetic diversity of both the ticks and the pathogens (Takumi et al., 2019).

In North America, the proliferation of white-tailed deer (Odocoileus virginianus) has significantly influenced the populations of certain tick species that affect both humans and animals. These deer serve as primary hosts for the adult stages of the black-legged tick (Ixodes scapularis) and the lone star tick (Amblyomma americanum). As deer populations have expanded, there has been a corresponding increase in these tick species, leading to a higher incidence of tick-borne diseases. Amblyomma americanum is responsible for the transmission of Rocky Mountain spotted fever (R. rickettsii) (Tsao et al., 2021).

In Brazil, anthropogenic modifications in the state of São Paulo during the last three decades have favoured capybara's presence. This rodent is a recognized reservoir of R. rickettsii, and Brazilian Spotted Fever became endemic in the area (Luz et al., 2019).

1.3. Molecular tools for the detection of Rickettsia spp. in wildlife

Molecular assays (PCR and RT-PCR) are widely used for the diagnosis of rickettsial infection, since they enable the rapid detection and identification of Rickettsia species with high sensitivity and specificity (Portillo et al., 2017). Blood is the main tissue analyzed in studies on wildlife and animals in general; however, the usefulness of PCR on blood for rickettsial detection is limited, due to low numbers of circulating rickettsiae (Walker and Ismail, 2008). Assays with high sensitivity (e.g., nested PCR) are thus recommended when testing blood specimens (Santibáñez et al., 2013). The molecular detection of Rickettsia spp. is more successful in other tissues, such as skin and organ biopsies (Portillo et al., 2017). However, such tissue samples are harder to obtain in live animals, although several studies have been performed on skin biopsies taken from anesthetized animals (e.g., rodent ear tissues). A wide number of studies have instead focused on the molecular detection of rickettsiae in arthropods collected on wild hosts; in this case, PCR positivity does not necessarily indicate the infection in the vertebrate, but only in the feeding vector. Raoult et al. (2005) suggest using five genes for the molecular characterization of rickettsiae: rrs, gltA, ompA, ompB, and sca4. The outer membrane proteins (OMPA, OMPB) and the surface cell antigens (SCA1 and SCA4) are particularly useful for the identification and phylogenetic analysis (Portillo et al., 2017). Finally, metagenomic approaches are getting increasingly popular also for the study of rickettsial diseases. However, due to the costs and technology required, they are still limited to reference/research diagnostic laboratories (Stewart and Stewart, 2021) and mostly used for surveillance purposes (Kipp et al., 2023).

The subject of Rickettsia in wildlife is a broad one, and a significant number of review articles have been published in recent times, particularly with regard to the occurrence of Rickettsia in questing ticks or collected from animals. The number of molecular studies on Rickettsia in mammalian tissues is limited, and there is a lack of review articles on this topic as well. Therefore, the aim of this review was to compile and synthesise peer-reviewed articles reporting the presence of Rickettsia spp. DNA in tissue samples from wild mammals worldwide. Thus, the review provides a clear global overview of the prevalence of Rickettsia DNA across various mammalian groups and geographic regions, including tabular presentations of the data, thereby contributing to a better understanding of the potential role of these animals in the maintenance and transmission of rickettsiae in natural ecosystems.

2. Methods, literature search strategy

The present review is based on a comprehensive literature search. The search was primarily conducted using the PubMed (https://pubmed.ncbi.nlm.nih.gov/) and Google Scholar (https://scholar.google.com/), and Web of Science (https://www.webofscience.com/wos/woscc/basic-search). The following search terms and Boolean operators (AND, OR) were used: „Rickettsia”, „PCR”, „molecular study“, „wild mammals”, tailored to the targeted geographic regions (Europe, Africa, Asia, Australia, and the Americas). The references cited in the publications that we found also led to a snowball effect. We analyzed all peer-reviewed publications from 2008 to 2025 (the first quarter) which described the presence of Rickettsia only in tissues of wild mammals worldwide as determined by molecular techniques. Data were extracted from articles that met the inclusion criteria after appraisal. The following information was extracted and tabulated: region and country; host species; prevalence; species and genotypes of Rickettsia; type of tissue sample examined; detection technique; authors; year of publication.

3. Results and discussion

3.1. Rickettsia spp. in wildlife - molecular data

The presence of rickettsial-specific DNA has been identified in questing and host-feeding ticks, as well as other ectoparasites (mites and fleas), and in the blood and tissues of several vertebrate species, including small rodents, insectivores, bats, ungulates, game mammals, and carnivores. However, due to the low sensitivity of molecular analyses for the detection of Rickettsia spp. in blood, several studies failed in the detection (Yang et al., 2021, Yang et al., 2021). Conversely, the presence of antibodies against rickettsiae has been identified in several vertebrate species, including rodents, red deer, roe deer, wild boars, and hares. Evidence suggests that some may play a role in endemic cycles of the bacteria, nevertheless, the role of these species as reservoirs for rickettsiae has yet to be definitively confirmed (Kazimirova et al., 2024).

Table 1, Table 2, Table 3, Table 4, Table 5 illustrate findings of Rickettsia DNA in wildlife around the world.

Table 1.

Studies on molecular detection of Rickettsia spp. DNA from wild mammalian tissues in Europe.

Country Group of hosts Host species No. of positive rickettsial DNA (no of positive/examined/%) Species/genotypes of Rickettsia and Rickettsia Candidatus sp. (frequency) Type of tissue sample examined Detection technique Reference
France carnivores Vulpes vulpes 0/93/0 % – spleen real-time PCR (qPCR) - gltA; PCR Medkour et al. (2020)
Germany rodents Rattus norvegicus 3/368/0.8 % R. helvetica (3) ear PCR - ompB Heuser et al. (2017)
Germany rodents Apodemus flavicollis 130/925/14 % R. felis (4), R. helvetica (30), Rickettsia sp. (96) ear real-time PCR (qPCR) - gltA; PCR - ompB; ompA Fischer et al. (2018)
Apodemus sylvaticus 17/105/16.2 % R. felis (4), R. helvetica (30), Rickettsia sp. (96)
Arvicola amphibius 2/4/50 % R. felis (1), R. helvetica (1)
Apodemus agrarius 4/43/9 % R. helvetica (1), Rickettsia sp. (3)
Clethrionomys glareolus 119/1565/7.6 % R. helvetica (19), Rickettsia sp. (100)
Micromys minutus 0/6/0 % -
Microtus agrestis 9/207/4.3 % R. helvetica (2), Rickettsia sp. (7)
Germany insectivores Sorex araneus 15/519/2.9 % R. helvetica (3), Rickettsia sp. (12) ear real-time PCR (qPCR) - gltA; PCR - ompB; ompA Fischer et al. (2018)
Sorex coronatus 4/101/4 % R. helvetica (2), Rickettsia sp. (2)
Sorex minutus 0/72/0 % -
Neomys fodiens 0/4/0 % -
Crocidura russula 0/1/0 % -
Germany carnivores Mustela nivalis 0/2/0 % - ear real-time PCR (qPCR) - gltA;
PCR - ompB; ompA
Fischer et al. (2018)
Germany rodents Clethrionomys glareolus
Apodemus flavicollis
Apodemus terrestris
Myodes glareolus
32/104/30.8 %
16/59/27 %
0/1/0 %
0/1/0 %
R. raoultii (7), R. helvetica (7)
R. helvetica (2)
-
-
spleen real-time PCR (qPCR) – gltA; PCR - ompB Galfsky et al. (2019)
Germany rodents Myodes glareolus 10/42/23.8 % R. helvetica (3), R. raoultii (2), Rickettsia spp. (5) ear real-time PCR - gltA; PCR - ompB Obiegala et al., 2016
Apodemus flavicollis 14/37/37.8 % R. helvetica (7), Rickettsia spp. (7)
Apodemus agrarius 2/3/66.7 % R. helvetica (2)
Arvicola terrestris 0/3/0 % -
Germany insectivores Crocidura russula
Sorex araneus
Talpa europaea
0/4/0 %
0/1/0 %
0/1/0 %
-
-
-
ear real-time PCR - gltA; PCR - ompB Obiegala et al., 2016
Germany rodents Apodemus flavicollis
Apodemus agrarius
Myodes glareolus
Microtus arvalis
50/214/23.4 %
0/7/0 %
114/435/26.2 %
0/8/0 %
R. helvetica (4), R. felis (1)
-
R. raoultii (5), R. helvetica (5)
-
ear real-time PCR – gltA;
PCR - ompB
Obiegala et al., 2017
Germany carnivores Procyon lotor 1/41/2.4 % R. helvetica ear nested PCR – gltA, ompB;17 kDa Hildebrand et al. (2022)
Germany game Capreolus capreolus 0/95/0 % - ear, spleen PCR - gltA Overzier et al. (2013)
Hungary rodents Mus musculus
Sciurus vulgaris
1/5/20 %
1/5/20 %
0/6/0 %
0/6/0 %
R. helvetica,
Rickettsia sp.
–
–
skin, spleen, liver, muscle, blood real-time PCR (qPCR) - gltA Szekeres et al. (2019)
Hungary insectivores Erinaceus roumanicus
Talpa europaea
Crocidura suaveolens
15/52/29 %
19/52/37 %
0/15/0 %
1/15/7 %
0/3/0 %
0/3/0 %
R. helvetica,
Rickettsia sp.
-
Rickettsia sp.
-
-
skin, spleen, liver, muscle, blood real-time PCR (qPCR) - gltA Szekeres et al. (2019)
Hungary carnivores Martes foina
Mustela nivalis
1/2/50 %
0/2/0 %
0/4/0 %
1/4/25 %
R. helvetica
-
-
Rickettsia sp.
skin, spleen, liver, muscle, blood real-time PCR (qPCR) - gltA Szekeres et al. (2019)
Hungary game Capreoulus capreolus 0/3/0 %
0/3/0 %
-
-
skin, spleen, liver, muscle, blood real-time PCR (qPCR) - gltA Szekeres et al. (2019)
Hungary carnivores Sus scrofa 0/17/0 % blood
0/79/0 % spleen
-
-
blood and spleen PCR - R. helvetica (23S rRNA); other rickettsiae – gltA Hornok et al. (2018)
Hungary game Cervus elaphus
Dama dama
Capreolus capreolus
Ovis orientalis musimon
0/48/0 % blood
0/96/0 % spleen
0/33/0 % blood
1/85/1.2 % spleen
0/65/0 % blood
0/6/0 % spleen
1/16/6.25 % blood
0/4/0 % spleen
-
-
-
R. helvetica
-
-
R. helvetica
blood and spleen PCR - R. helvetica (23S rRNA); other rickettsiae - gltA Hornok et al. (2018)
Hungary bats Myotis sp.
Pipistrellus sp.
Nyctalus sp.
Barbastella sp.
Plecotus sp.
Rhinolophus sp.
Miniopterus sp.
13/221/5.9 % R. helvetica
Neorickettsia risticii
Rickettsia spp.
Rickettsia endosymbiont
feaces PCR - R. helvetica - 23S rRNA; other rickettsiae - gltA Hornok et al. (2018)
Italy
Italy
carnivores
rodents
Lutra lutra
Apodemus spp.
Myodes glareolus
1/6/16.7 %
8/37/21.6 %
0/9/0 %
R. conorii
R. slovaca
spleen
ear
PCR - 17-kDa
PCR – ompA, gltA
Santoro et al. (2017)
Martello et al. (2013)
Lithuania rodents Apodemus flavicollis
Micromys minutus
Myodes glareolus
Microtus oeconomus
Microtus agrestis
Microtus arvalis
68/231/29.4 %
17/37/45.9 %
47/198/23.7 %
0/8/0 %
0/2/0 %
0/1/0 %
R. helvetica spleen nested PCR - gltA
semi nested PCR - 17 kDa
Mardosaitė-Busaitienė et al. (2018)
Lithuania insectivores Sorex araneus 3/12/25 % R. helvetica spleen nested PCR – gltA; semi-nested PCR -17 kDa Mardosaitė-Busaitienė et al. (2018)
Netherlands ungulates Capreolus capreolus 15/461/3.3 % Rickettsia sp. blood real-time PCR (qPCR) – gltA Wijburg et al. (2022)
Netherlands rodents Apodemus sylvaticus
Myodes glareolus
13/478/2.7 %
5/294/1.7 %
R. helvetica ear real-time PCR (qPCR) - gltA Krawczyk et al. (2020)
Poland carnivores Procyon lotor 24/179/13.4 % gltA
R. helvetica (13)
R. monacensis (1)
R. raoultii (1)
Candidatus R. kotlani (1)
ompB
R. helvetica (6), R. monacensis (1), R. raoultii (1)
Rickettsia endosymbionts (6)
17 kDa
R. helvetica (2)
Rickettsia endosymbionts (1)
ear,
spleen, liver
nested PCR - gltA, ompB;17 kDa Hildebrand et al. (2022)
Poland rodents Apodemus agrarius
Apodemus flavicollis
Myodes glareolus
25/96/26 % blood
1/136/2.8 % spleen
5/25/20 % blood
0/31/0 % spleen
3/23/13 % blood
1/26/3.8 % spleen
R. felis, R. helvetica blood
spleen
real-time PCR (qPCR) – gltA;
PCR - gltA
Gajda et al. (2017)
Romania insectivores Erinaceus roumanicus 1/8/12.5 % R. helvetica heart, liver, and skin, blood PCR - gltA Borşan et al., 2021
Romania rodents Apodemus agrarius
Apodemus sylvaticus
Mus musculus
3/14/21.4 %
1/3/33.3 %
1/1/100 %
R. monacensis heart, liver, and skin, blood PCR - gltA Borşan et al., 2021
Romania bats Nyctalus noctula
Pipistrellus pipistrellus
Myotis alcathoe
Pipistrellus nathusii
Pipistrellus pygmaeus
Plecotus auritus
Vespertilo murinus
22/188/11.7 %
13/55/23.6 %
5/12/41.7 %
4/25/16 %
1/2/50 %
1/6/16.7 %
1/4/25 %
R. monacensis (12)
R. monacensis (5)
heart PCR - gltA Matei et al. (2021)
Slovakia rodents Image 1 Image 2 R. helvetica, R. monacensis ear, blood, spleen PCR - gltA Minichová et al. (2017)
Slovakia rodents Apodemus agrarius 1/69/1.4 % R. helvetica (1) ear PCR - gltA Heglasová et al. (2018)
Apodemus flavicollis 10/99/10.1 % R. helvetica (1), R. sp. related to R. felis (3),R. slovaca (1)
Apodemus uralensis 1/1/100 % ND
Clethrionomys glareolus 13/58/22.4 % R.helvetica (4)
Micromys minutus 0/4/0 % -
Micromys arvalis 1/10/10 % R. helvetica (1)
Microtus subterraneus 0/1/0 % -
Slovakia insectivores Crocidura leucodon 1/3/33.3 % ND ear PCR - gltA Heglasová et al. (2018)
Slovakia rodents Clethrionomys glareolus
Apodemus flavicollis
Microtus arvalis
Apodemus sylvaticus
Microtus subterraneus
29/201/14.4 %
14/247/5.7 %
2/8/25 %
1/8/12.5 %
0/12/0 %
R. helvetica (6)
R. helvetica (3)
–
R. helvetica (1)
-
blood PCR - 16S rRNA Miťková et al. (2015)
Slovakia rodents Apodemus agrarius 20/340/5.9 % R. helvetica (5), R. endosymbionts (4) ear PCR - gltA; TaqMan PCR - 23S rRNA and ompB Špitalská et al. (2020)
Apodemus flavicollis 12/312/3.8 % R. helvetica (3)
Clethrionomys glareolus 11/267/4.1 % R. helvetica (3), R. slovaca (1), R. endosymbionts (2)
Microtus arvalis 1/14/7.1 % R. helvetica (1)
Microtus subterraneus 0/7/0 % -
Microtus minutus 0/3/0 % -
Slovakia insectivores Crocidura suaveolens
Neomys fodiens
Sorex minutus
Sorex araneus
0/2/0 %
0/2/0 %
0/15/0 %
0/2/0 %
-
-
-
-
ear PCR - gltA; TaqMan PCR - 23S rRNA and ompB Špitalská et al. (2020)
Switzerland rodents Clethrionomys glareolus
Apodemus flavicollis
Apodemus sylvaticus
Apodemsus spp.
0/19/0 %
0/45/0 %
0/35/0 %
0/9/0 %
-
-
-
-
blood PCR - 23S-5S Burri et al. (2014)
Spain game Cervus elaphus
Sus scrofa
2/262/0.7 %
0/83/0 %
R. helvetica, R. slovaca spleen nested PCR - rOmpA and rOmpB Remesar et al., 2023
Turkey game
lagomrophs
carnivores
Sus scrofa
Lepus europaeus
Vulpes vulpes
1/30/3.3 %
0/30/0 %
0/4/0 %
R. slovaca blood PCR – gltA, ompA Orkun and Çakmak, 2019

ND = not determined.

Table 2.

Studies on molecular detection of Rickettsia spp. DNA from wild mammalian tissues in Asia.

Region Group of hosts Host species No. of positive rickettsial DNA (no of positive/examined/%) Species/genotypes of Rickettsia and Rickettsia Candidatus sp. (no of confirmed) Type of tissue sample examined Detection technique Reference
China rodents Mus musculus 1/6/16.7 % R. felis (1) blood
liver
kidney
spleen
FRET-PCR – gltA nested PCR - gltA Zhang et al. (2014)
insectivores Suncus murinus 0/4/0 %
China rodents Apodemus agrarius 0/211/0 % spleen PCR – gltA, ompA Yuan et al. (2020)
Apodemus peninsulae 0/35/0 %
Rattus norvegicus 2/58/3.5 % Candidatus Rickettsia tarasevichiae (2)
Clethrionomys rufocanus 4/95/4.2 % Candidatus Rickettsia tarasevichiae (4)
Clethrionomys rutilus 0/2/0 %
Microtus fortis 0/4/0 %
Cricetulus barabensis 0/5/0 %
Cricetulus triton 0/16/0 %
Tscherskia triton 0/14/0 %
Tamiops macclellandi 0/1/0 %
insectivores Sorex spp. 0/17/0 %
Japan game/ungulates Cervus nippon yesoensis 8/112/7.1 % Rickettsia helvetica (8) blood nested PCR - gltA, 17-kDa Inokuma et al. (2008)
Kazakhstan rodents Microtus arvalis 3/87/3.4 % R. raoultii (2) ear lobes RT PCR - gltA
PCR - ompAIV, 23S–5S interspacer region
Wagner et al. (2022)
Clethrionomys glareolus 0/13/0 %
Microtus kirgisorum 0/49/0 %
Apodemus uralensis 5/259/1.9 % R. conorii (1), R. slovaca (1), R. raoultii (1)
Mus musculus 9/128/7.0 % R. slovaca (1), R. raoultii (5)
Rattus norvegicus 0/39/0 %
Meriones meridianus 0/2/0 %
Dryomys nitedula 0/15/0 %
insectivores Crocidura suaveolens 0/28/0 %
Sorex spp. 0/4/0 %
Korea rodents Apodemus agrarius 21/693/3.0 % R. raoultii (21) PCR – 16S rRNA Kim et al. (2024)
Apodemus peninsulae 0/5/0 %
Craseomys regulus 0/13/0 %
Craseomys rufocanus 0/1/0 %
Micromys minutus 0/25/0 %
Microtus fortis 0/4/0 %
insectivores Mogera robusta 0/1/0 %
Crocidura lasiura dobson 0/1/0 %
Crocidura spp. 3/86/3.5 % R. raoultii (3)
Malaysia rodents Rattus diardii 9/58/15.5 % R. honei/R. conorii/R. raoultii (12) liver
spleen
heart
kidney
nested PCR, PCR – gltA, ompA, ompB Tay et al. (2014)
Rattus norvegicus 4/37/10.8 %
Malaysia primates Macaca fascicularis 12/50/24 % Rickettsia sp. RF2125, Candidatus Rickettsia asemboensis, Rickettsia spp. clone 4G/JP102 and 11TP21, R. felis– type strain blood PCR – gltA, ompB Tay et al. (2015)
Taiwan rodents Apodemus agrarius SGF 7/11/63.6 %
TG 1/11/9.1 %
R. japonica (1), R. rickettsii (2),
Rickettsia sp. IG-1 (5),
Rickettsia sp. TwKM01 (1), R. typhi (1)
liver
spleen
kidney
nested PCR - gltA, ompB Kuo et al. (2015)
Bandicota indica SGF 7/17/41.2 %
TG 1/17/5.9 %
R. japonica (4), R. raoultii (2), R. rickettsii (3), Rickettsia sp. IG-1 (1), R. typhi (1)
Mus caroli SGF 19/44/43.2 %
TG 3/44/6.8 %
R. conorii (1), R. felis (1), R. japonica (7),
R. rickettsii (10), Rickettsia sp. IG-1 (2), R. typhi (3)
Mus musculus SGF 6/6/100 %
TG 0/6/0 %
R. japonica (4), R. raoultii (1), R. rickettsii (2), Rickettsia sp. IG-1 (1), Rickettsia sp. TwKM01 (1)
Niviventer coxingi SGF 1/2/50 %
TG 0/6/0 %
R. conorii (1)
Rattus exulans SGF 3/6/50 %
TG 1/6/16.7 %
R. japonica (2), Rickettsia sp. IG-1 (1),
Rickettsia sp. TwKM01 (1), R. typhi (1)
Rattus losea SGF73/181/40.3 %
TG 18/181/9.9 %
R. conorii (33), R. felis (8), R. japonica (14),
R. rickettsii (21), Rickettsia sp. IG-1 (5),
Rickettsia sp. TwKM02 (3), R. typhi (18)
Rattus norvegicus SGF 3/6/50 %
TG 1/6/16.7 %
R. japonica (2), Rickettsia sp. IG-1 (1),
Rickettsia sp. TwKM01 (1) TwKM02 (1), R. typhi (1)
insectivores Suncus murinus SGF 8/36/22.2 %
TG 4/36/11.1 %
R. japonica (4), R. rickettsii (5),
Rickettsia sp. TwKM01 (1), R. typhi (4)
Thailand
Bangkok
rodents Ratttus exulans 0/12/0 % spleen nested PCR - gltA Rungrojn et al.,
R. norvegicus 0/2/0 %
R. rattus-complex 4/162/2.5 % R. typhi (3), R. felis (1)
insectivores Tupaia belangeri 0/19/0 %
Suncus murinus 0/3/0 %

Table 3.

Studies on molecular detection of Rickettsia spp. DNA from wild mammalian tissues in Australia.

Region Group of hosts Host species No. of positive rickettsial DNA (no of positive/examined/%) Species/genotypes of Rickettsia and Rickettsia Candidatus sp. (no of confirmed) Type of tissue sample examined Detection technique Reference
Australia rodents Rattus rattus 0/33/0 % - blood metatranscriptomics followed by gltA qPCR and PCR - gltA, ompB Gofton et al., 2021
Rattus fuscipes 0/11/0 % -
marsupials Perameles nasuta 0/19/0 % -
Trichosurus vulpecula 0/6/0 % -

Table 4.

Studies on molecular detection of Rickettsia spp. DNA from wild mammalian tissues in the Americas.

Country Group of hosts Host species No. of positive rickettsial DNA (no of positive/examined/%) Species/genotypes of Rickettsia and Rickettsia Candidatus sp. (frequency) Type of tissue sample examined Detection technique Reference
Brazil carnivores Cerdocyon thous 0/1/0 % - blood
blood
PCR -gltA, OmpA de Oliveira et al. (2020)
carnivores Cerdocyon thous 1/78/1.28 % ND qPCR - ompA,17-kDa, 56-kD; PCR -gltA, OmpA, OmpB,17 kDa De Sousa et al. (2018)
Nasua nasua 0/31/0 % -
Leopardus pardalis 0/7/0 % -
rodents
rodents
Hydrochoerus hydrochaeris 0/17/0 % - blood Real-time PCR -gltA, PCR - gltA, ompA Neves et al. (2023)
0/21/0 % - blood PCR -gltA Yang et al. (2021)
0/57/0 % - blood PCR -gltA, OmpA Quadros et al. (2021)
Thrichomys laurentius 0/40/0 % - blood PCR -gltA, OmpA de Oliveira et al. (2020)
Rhipidomys cariri 0/3/0 % -
Calomysexpulsus 0/2/0 % -
Wiedomys pyrrhorhinos 0/2/0 % –
Galea spixii 0/1/0 % –
Kerodon rupestris 0/1/0 % –
Rattus rattus 0/2/0 % –
Thrichomys fosteri 0/77/0 % – blood qPCR - ompA,17-kDa,56-kDa; PCR - gltA, OmpA, OmpB,17 kDa De Sousa et al. (2018)
Oecomys mamorae 0/25/0 % -
Clyomys laticeps 0/8/0 % -
marsupials Monodelphis domestica 0/9/0 % - blood PCR - gltA, OmpA de Oliveira et al. (2020)
Didelphis albiventris 0/7/0 % -
Gracilinanus agilis 0/2/0 % -
Thylamys macrurus 0/14/0 % - blood qPCR - ompA,17-kDa,56-kDa; PCR - gltA, OmpA, OmpB,17 kDa De Sousa et al. (2018)
Gracilinanus agilis 0/11/0 % -
Monodelphis domestica 0/4/0 % -
Didelphis albiventris 0/1/0 % -
Mexico rodents Mus musculus 9/32/28.1 % R. parkeri (1) spleen semi-nested PCR - sca5 after propagation of Rickettsia on Vero cells Arroyo-Ramírez et al. (2023)
Peromyscus yucatanicus 1/3/33.3 % ND
Ototylomys phyllotis 0/1/0 % –
rodents Neotoma albigula 0/4/0 % – ear tissue PCR - gltA, ompB López-Pérez et al. (2022)
López-Pérez et al. (2022)
Neotoma lepida 0/7/0 % –
Onychomys sp. 0/1/0 % –
Peromyscus boylii 6/103/5.8 % ND
Peromyscus crinitus 0/29/0 % –
Peromyscus eremicus 0/46/0 % –
Peromyscus fraterculus 0/3/0 % –
Peromyscus maniculatus 1/26/3.8 % ND
Chaetodipus baileyi 0/12/0 % –
Chaetodipus fallax 0/6/0 % –
Chaetodipus formosus 0/5/0 % –
Chaetodipus penicillatus 0/50/0 % –
Chaetodipus spinatus 0/3/0 % –
Dipodomys merriami 1/41/2.4 % ND
Dipodomys simulans 0/24/0 % –
Mus musculus 2/15/13.3 % R. typhi (2)
Rattus rattus 1/2/50 % R. typhi (1)
Neotamias merriami 0/5/0 % –
Otospermophilus beecheyi 0/3/0 % –
Spermophilus tereticaudus 0/3/0 % –
carnivores Canis latrans 1/6/16.7 % R. rickettsii (1) blood
Urocyon cinereoargenteus 0/3/0 % –
Lynx rufus 0/4/0 % –
Procyon lotor 0/3/0 % –
Mephitis mephitis 0/4/0 % –
Peru
Trinidad, West Indies
Chile
rodents
rodents
game
marsupials
eutherians
game
carnivores
Rattus rattus
Dasyprocta leporina
Cuniculus paca
Mazama americana
Didelphis marsupialis insularis
Dasypus novemcinctus
Tayassu tajacu
Lycalopex fulvipes
0/66/0 %
0/22/0 %
0/1/0 %
0/1/0 %
0/15/0 %
0/2/0 %
0/2/0 %
1/30/3.3 %
–
–
–
–
–
–
–
Rickettsia related to R. felis
spleen
blood
blood
qPCR - htrA
qPCR- gltA
qPCR- ITS2
Ferradas et al. (2025)
Sant et al. (2022)
Cabello et al. (2013)
USA game Odocoileus virginianus 0/245/0 % – blood TickPath layerplex qPCR test Yu et al. (2020)
carnivores
carnivores
Canis latrans
Canis latrans
0/122/0 % –
4/138/2.9 % R. rickettsii (4) skin Green et al. (2020)

ND = not determined.

Table 5.

Studies on molecular detection of Rickettsia spp. DNA from wild mammalian tissues in Africa.

Country Group of hosts Host species No. of positive rickettsial DNA (no of positive/examined/%) Species/genotypes of Rickettsia and Rickettsia Candidatus sp. (frequency) Type of tissue sample examined Detection technique Reference
southern Africa rodents Rhabdomys spp. 192/1223/15.7 % R. conorii (4), R. felis (5), R. helvetica (3) R. massiliae (7), Candidatus R. africaustralis (11), Candidatus R. rhabdomydis (6), Candidatus R. muridii, Genotype R. hogsbackensis (1), Genotype R. stutterheimensis (1), Genotype R. kaalplaasensis (1) Ear tissues for initial screening rtPCR - partial gltA;
for MLST - ompB, ompA, 23S-5S, 16S, sca4, gltA
Essbauer et al. (2018)
Micaelamys namaquensis 17/99/17 % R. helvetica (1)
Mastomys coucha 6/64/9 % Candidatus R. africaustralis (3)
Mus musculus 3/61/5 % Candidatus R. africaustralis (1), Genotype R. hofmannii (1)
Otomys irroratus 5/33/15 % Candidatus R. rhabdomydis (1), Genotype R. stutterheimensis (1)
Myotomys unisulcatus 7/21/33 % –
Lemniscomys rosalia 9/15/60 % R. massiliae (1), Candidatus R. africaustralis (1), Candidatus R. rhabdomydis (1), Candidatus R. muridii (2)
Mastomys natalensis 0/12/0 % –
Mus minutoides 0/11/0 % –
Saccostomus campestris 0/11/0 % –
Steatomys pratensis 0/11/0 % –
Aethomys chrysophilus 4/9/44 % Candidatus R. africaustralis (3), Candidatus R. rhabdomydis (1)
Rattus rattus 1/6/17 % ND
Desmodillus auricularis 1/5/20 % ND
Gerbillurus paeba 0/1/0 %
insectivores Crocidura mariquensis 2/10/20 % R. helvetica (1), Candidatus R. africaustralis (2)
Crocidura flavescens 0/9/0 % –
Myosorex varius 1/6/17 % ND
Macroscelides proboscideus 1/3/33 % ND
Crocidura cyanea 1/2/50 % R. helvetica (1)
Myosorex cafer 1/2/50 % R. helvetica (1)
Elephantulus rupestris 0/1/0 % –
Crocidura bicolor 0/1/0 % –
Democratic Republic of the Congo rodents Rattus norvegicus 12/106/11.3 % R. typhi spleen, heart, liver and kidney real-time
qPCR - gltA (for all spotted fever group rickettsiae (SFGR) and by R. typhi-specific qPCR - RTB9991CWPP_01310 gene
Laudisoit et al. (2014)
Rattus rattus 4/20/20 % R. typhi
northeastern Algeria wild animals Chiroptera spp., Sus scrofa algira, cattle, sheep, boars and jackals, dogs, hedgehogs 0/16/0 % - spleen qPCR - gltA Leulmi et al., 2016
Namibia and Tanzania carnivores (hyenas) Parahyaena brunnea 1/17/5.9 % R. raoultii blood PCR - gltA Krücken et al. (2021)
Crocuta crocuta 3/19/15.8 % R. raoultii
Crocuta crocuta 0/25/0 % -
Zambia primates Papio cynocephalus 16/48/33.3 % R. africae spleen PCR - gltA Nakayima et al., 2014
Chlorocebus pygerythrus 19/40/47.5 % R. africae
central Africa (Cameroon) primates Pan troglodytes troglodytes 39/313/12.5 % R. felis, R. felis-like Fecal samples qPCR - gltA, bioB; PCR - gltA, ompA Keita et al., 2013
Gorilla gorilla gorilla 74/430/17.2 % R. felis, R. felis-like
The Democratic Republic of Congo primates Pan paniscus 8/285/2.8 % R. felis, R. felis-like
Kenya ungulates Damaliscus lunatus ssp. jimela 3/10/30 % R. sibirica blood PCR - rpmE-tRNAfMet, gltA Ndeereh et al., 2017
Kobus ellipsiprymnus ssp. ellipsiprymnus 0/2/0 % -
Equus burchellii 1/39/2.6 % ND
Connochaetes taurinus 1/35/2.9 % ND
Syncerus caffer 1/31/3.2 % ND
Alcelaphus buselaphus 0/5/0 % -
Nanger granti 0/7/0 % -
South Africa and Swaziland bats Miniopterus natalensis
Nycteris thebaica
Epomophorus wahlbergi
Scotophilus dinganii
Glauconycteris variegata
5/384/1.3 % Rickettsia sp. blood PCR - gltA Dietrich et al. (2016)

3.1.1. Rodents and insectivores

Wild rodents and insectivores can harbor various Rickettsia species, some of which have zoonotic potential. Understanding the role of rodents in the ecology and transmission of Rickettsia is crucial for assessing potential risks to human health.

Several studies have investigated the presence of rickettsial species in rodents and insectivores in Europe, highlighting their potential role as reservoirs and the involvement of ectoparasites in transmission. A study conducted in Saxony, Germany, showed Rickettsia DNA in 28.6 % of rodents, 3.9 % of fleas, and 41.6 % of ticks, by real-time PCR (Obiegala et al., 2016; 2017). Sequencing identified R. helvetica and R. raoultii in rodents, and R. raoultii, R. monacensis, and R. helvetica in ticks. Notably, this was the first detection of R. raoultii in Myodes glareolus and R. helvetica in Apodemus agrarius in Germany. The high prevalence of R. helvetica in small mammals suggests they may play a role in the transmission of the agent to feeding arthropods. Another study carried out by Galfsky et al. (2019) in Saxony, Germany investigated the prevalence of various tick-borne pathogens, including Rickettsia species, in small mammals and ticks in Saxony, Germany. The prevalence of Rickettsia spp. in rodents was found to be 29.1 %.

The study by Fischer et al. (2018) demonstrated screening of 3939 wild small mammals, including rodents and insectivores, for Rickettsia DNA. Rickettsia helvetica was the most prevalent species, detected in 90.9 % of positive samples. Other species identified included R. felis (7.8 %) and R. raoultii (1.3 %). The highest prevalence of Rickettsia DNA was found in rodents of the genus Apodemus, particularly the yellow-necked mouse (A. flavicollis). Additionally, older and male individuals of certain rodent species exhibited higher rates of Rickettsia DNA presence, and small mammals collected in forested habitats during summer and autumn had higher prevalence rates, suggesting that seasonal and habitat-related factors influence Rickettsia prevalence. The findings highlight the importance of considering ecological factors, such as host species, age, sex, and habitat, in understanding the dynamics of Rickettsia transmission.

In a study conducted by Minichová et al. (2017), the presence of Rickettsia spp. DNA was identified in 0.5 % (3/663) of rodent samples, comprising ear biopsies and/or spleen samples, from rodents (A. flavicollis) captured from Slovakia. The identified Rickettsia spp. were R. helvetica and R. monacensis. Concurrent studies in Slovakia have demonstrated the overall prevalence of Rickettsia spp. in examined small mammals (rodents and insectivores) as 11 %, with R. helvetica the most prevalent species and being confirmed in A. agrarius, A. flavicollis, My. glareolus, and M. arvalis. Furthermore, a Rickettsia species closely related to R. felis was identified in A. flavicollis, while R. slovaca was observed in A. flavicollis (Heglasová et al., 2018). The highest occurrence of rickettsiae-positive small mammals was recorded during the spring and autumn months, possibly related to the seasonal activity of tick vectors. The research by Špitalská et al. (2020) provides insights into the prevalence of Rickettsia species and rickettsial endosymbionts in small mammals and their ectoparasites, with R. helvetica identified with the highest frequency in A. agrarius.

A study conducted in south-western Poland identified the presence of Rickettsia DNA in the tissues of wild rodents, including species such as A. agrarius and My. glareolus. The prevalence of infection was approximately 17.6 %, with some samples specifically detecting the presence of R. helvetica and Rickettsia felis-like organisms (Gajda et al., 2017).

In the northern Appenines, Italy, Rickettsia slovaca was identified by PCR in ear biopsies in 8 Apodemus spp. (n = 37 examined), but not in M. glareolus (n = 9). Rodents were infested by D. marginatus larvae and nymphs. Prevalence of R. slovaca was greater in larvae feeding on PCR-positive Apodemus than in those feeding on negative mice, suggesting that heavily infested mice might play a role as amplifiers of the infection (Martello et al., 2013).

In Asia, examined tissues of rodents and insectivores are positive for various Rickettsia species, some of which are zoonotic and can infect humans. A study in Mudanjiang, Heilongjiang Province, detected Candidatus Rickettsia tarasevichiae in 1.29 % of 463 rodents, including Rattus norvegicus and Clethrionomys rufocanus (Yuan et al., 2020). This finding marked the first confirmation of this Rickettsia species in rodents in China. A nationwide survey identified R. raoultii in 2.9 % of 835 wild rodents. This was the first detection of R. raoultii in South Korean rodents and highlights the importance of continuous monitoring to mitigate public health risks (Kim et al., 2024). A comprehensive study in Taiwan documented the capture of 1285 small mammals, comprising 10 rodent species and one shrew species (Kuo et al., 2015). Rattus losea accounted for 54.6 % of rodent captures in a study conducted between 2006 and 2010 in Taiwan. High seropositivity rates were observed for R. conorii or R. rickettsii (94.6 %) and R. typhi (2.3 %). Additionally, DNA of spotted fever group (SFG) and typhus group (TG) Rickettsia species was detected in 41.1 % and 9.4 % of individuals, respectively. Mus caroli, representing 10.6 % of captures, showed seropositivity rates of 48.9 % for R. conorii or R. rickettsii and 5.9 % for R. typhi. SFG and TG Rickettsia DNA were found in 43.2 % and 6.8 % of individuals, respectively. Bandicota indica rodents exhibited seropositivity rates of 88.0 % for R. conorii or R. rickettsii and 0 % for R. typhi. SFG and TG Rickettsia DNA were detected in 41.2 % and 5.9 % of individuals, respectively. The high prevalence of Rickettsia infections in rodents across Taiwan indicates a significant potential for zoonotic transmission. Rodents, especially Rattus species, serve as primary reservoirs for these bacteria, with fleas acting as vectors. Infection with Rickettsia species can lead to murine typhus (R. typhi) and spotted fever group rickettsioses (R. conorii and R. rickettsii). Notably, R. typhi is transmitted by fleas found on rodents and can cause murine (endemic) typhus, characterized by fever, chills, and rash.

A study involving 95 wild rats (R. diardii and R. norvegicus) from Kuala Lumpur and Pulau Pinang in Malaysia detected Rickettsia DNA in 13.7 % of tissue samples (Tay et al., 2014). Sequence analysis revealed 98.6–100 % similarity with R. honei, R. conorii, and R. raoultii.

In the African continent, a study in the Democratic Republic of the Congo found that 13 % of rats (R. rattus and R. norvegicus) were positive for R. typhi, the causative agent of murine typhus (Laudisoit et al., 2014). Fleas (Xenopsylla cheopis) from these rodents also harbored R. typhi in 72 % of pools, highlighting the role of fleas in the transmission of this pathogen. Research across southern Africa and Namibia detected Rickettsia DNA in 15.5 % of 1616 ear-tissue samples from 23 small mammal species (rodents and insectivores) (Essbauer et al., 2018). Four human-pathogenic Rickettsia species were identified: R. conorii, R. massiliae, R. felis, and R. helvetica. Novel species such as Candidatus Rickettsia africaustralis, Candidatus Rickettsia rhabdomydis, and Candidatus Rickettsia muridii were also confirmed. The high prevalence of Rickettsia species in rodents and their fleas across Africa suggests significant public health risks. Rodents and fleas act as reservoirs and vectors, respectively, facilitating the transmission of these pathogens to humans. Infection can lead to diseases such as murine typhus, characterized by fever, chills, and rash. While often mild, severe cases can result in complications affecting organs like the liver, heart, and lungs. The detection of diverse Rickettsia species in rodents and insectivores and their ectoparasites across various African regions underscores the importance of monitoring these populations. Enhanced surveillance and control measures targeting rodents and fleas are essential to mitigate the risk of Rickettsia transmission to humans.

Rickettsia rickettsii is the main etiological agent of severe spotted fever, named with different names across north, central and south America (e.g. Rocky Mountain spotted fever, Brazilian spotted fever), and different tick species are responsible of its transmission to humans. Studies in Latin America show that ticks are rarely infected by R. rickettsii in nature, possibly due to the pathogenic effect of the rickettsia for ticks. Thus, transovarial transmission is not sufficient to maintain it in nature, and amplifier vertebrate hosts are needed to infected new tick lines through horizontal transmission (Labruna, 2009). In Brazil, Amblyomma sculptum and A. aureolatum ticks are the main vectors of R. rickettsii to humans and xenodiagnostic experiments have demonstrated that capybaras (Hydrochoerus hydrochaeris) and opossums (Didelphis aurita) act as amplifier host (Horta et al., 2009; Souza et al., 2009; Ramírez-Hernández et al., 2020a, Ramírez-Hernandez et al., 2020b). In other studies in South America, a wide variety of rodent species were examined, but Rickettsia spp. was found in a very low percentage and only in a few rodent species in Mexico, including R. parkeri identified in Mus musculus (Arroyo-Ramírez et al., 2023; López-Pérez et al., 2022a, López-Pérez et al., 2022b, Table 4).

3.1.2. Bats

Molecular studies have demonstrated the presence of Rickettsia sp. in European bats. In a study conducted in Hungary, 13 out of 221 (5.9 %) bat faecal samples were found to contain rickettsia DNA. These included sequences of a rickettsial insect endosymbiont, a novel Rickettsia genotype, and R. helvetica (Hornok et al., 2018a, Hornok et al., 2018b). Furthermore, a study conducted in Romania revealed a high prevalence of R. monacensis in two species of insectivorous bats, Nyctalus noctula and Pipistrellus pipistrellus (Matei et al., 2021). The study utilised PCR detection techniques, confirming the presence of Rickettsia DNA in 14.6 % of the bat samples. Furthermore, the presence of Rickettsia spp. DNA has been confirmed in bats in Africa. A study conducted across South Africa and Swaziland found diverse Rickettsia spp. in both insectivorous and frugivorous bats, as well as their blood-feeding ectoparasites. Subsequent analysis of the partial gltA sequence data has enabled the identification of bat-associated Rickettsia spp. that are closely related to R. conorii (Dietrich et al., 2016).

3.1.3. Game animals/ungulates

Only a few studies report the occurrence of Rickettsia DNA in tissues of wild living ungulates. Much more work concerns the ticks collected from these animals. In Europe, among game animals, cervids were particularly investigated since they are major hosts for I. ricinus, the most important tick vector in this region. Rickettsia spp. was reported in Dama dama and Capreolus capreolus, with a prevalence between 1.2 % and 3.3 % in Hungary and the Netherlands, respectively (Hornok et al., 2018a, Hornok et al., 2018b; Wijburg et al., 2022). The higher level of R. helvetica infections (6.3 %) was in the blood of Hungarian mouflons (Hornok et al., 2018a, Hornok et al., 2018b).

The interesting results were recorded in Kenya, where in topi (Damaliscus lunatus jimela), Rickettsia DNA was detected in 30 % of blood isolates, whereas in other ungulates the prevalence was an order of magnitude lower, or no DNA of the tested bacterium was detected (Ndeereh et al., 2017).

Wild boars are also suspected as having a role in rickettsial cycle. In Europe, R. slovaca was found in a wild boar skin biopsy in Tuscany, where SENLAT cases occur (Selmi et al., 2009). However, whether wild boars are able to develop a sufficient rickettsemia to infect feeding ticks or simply act as hosts for infected vectors remains unclear. A recent study showed that wild boars do not act as competent amplifying hosts of R. rickettsii for A. sculptum ticks in Brazil. Experimental infection of four wild boars through R. rickettsii – infected A. sculptum did not led to detectable rickettsemia (Neves er al., 2025). A moderate seroconversion was detected, as already shown in other serological studies (Sousa et al., 2024). However, wild boars are deemed important for to the dissemination of infected A. sculptum, especially in areas where competent hosts for R. rickettsii are present (Neves et al., 2023).

3.1.4. Primates

Studies on natural infection of Rickettsia in wild living primates are rare, but interesting. In Africa, in South Luangwa National Park, Zambia, spleen samples derived from 88 free-ranging non-human primates, comprising yellow baboons and vervet monkeys, were studied. Rickettsia DNA was detected in almost 40 % of isolates (Nakayima et al., 2014). Sequencing of selected positive samples revealed 99 % identity with R. africae, a known causative agent of African tick-bite fever. The other study from Central Africa analyzed over 1000 fecal samples from wild chimpanzees, gorillas, and bonobos. Using real-time PCR targeting the gltA gene, Rickettsia DNA was detected in 11 % of samples, with gorillas showing the highest positivity rate at 17.2 %. The sequences matched R. felis, a flea-borne pathogen known to infect humans (Keita et al., 2013). It is worth considering whether it is possible that the DNA was ingested or encountered through environmental contact (e.g., grooming behavior or eating contaminated food). The study conducted in Asia, in Malaysia, examined blood samples from 50 cynomolgus monkeys captured in residential areas. The Rickettsia DNA was confirmed in 24 % of blood samples, indicating that these monkeys were naturally infected.

These finding highlights the potential role of primates in the transmission cycles of Rickettsia species, which may have additional significance in the case of monkeys living near humans (e.g., urban or peridomestic macaques) that could be part of a zoonotic cycle of pathogens.

Research provided in Australia and South America has shown that marsupials do not play a role in the circulation and maintenance of Rickettsia spp. in the environment (de Sousa et al., 2018; de Oliveira et al., 2020; Gofton et al., 2021, Table 3, Table 4).

3.1.5. Carnivores

There is a broad consensus that wild and domestic carnivores constitute a substantial reservoir for tick-borne zoonotic agents transmitted to humans. The dynamics of tick-borne pathogen transmission are contingent upon the presence of diverse species of vertebrates in proximity, and, in such instances, the convergence of ecological niches among species engenders opportunities for parasites to expand their geographic distribution, abundance, and host range. Consequently, numerous newly discovered arthropod-borne pathogens that originated in wildlife have emerged or reemerged (Otranto et al., 2015; André, 2018).

The extant literature on the subject is inconclusive and limited in scope, with a paucity of studies examining the role of the red fox in the epidemiology of rickettsiosis. However, a recent study by Liu et al. (2021) has identified the presence of R. raoultii in the organs of three red foxes, Candidatus Rickettsia barbariae in the organs of a red fox, R. sibirica in the liver of a red fox, and R. raoultii in two tick species (Ixodes canisuga and D. marginatus) from foxes in China. Conversely, no foxes were found to be positive for Rickettsia spp. in Italy (Torina et al., 2013). In the same study, the flea pool that contained the two Ctenocephalides felis specimens also tested positive for R. felis.

Furthermore, the presence of R. raoultii DNA has been identified in feeding I. ricinus ticks removed from wolves in northwestern Spain (Del Cerro et al., 2022) and in Dermacentor reticulatus ticks removed from a migrating golden jackal (C. aureus) in Denmark (Klitgaard et al., 2017). Conversely, a study by Wymazał et al. (2024) revealed the absence of rickettsial DNA in the blood and tissue (muscle) samples of wolves from an expanding population in Eastern Europe (Poland). A similar finding was reported for the North American canid, the red wolf (Canis rufus), which was found to be devoid of Rickettsia DNA in its blood samples (Tyrrell et al., 2020).

On the other hand, a variety of rickettsiae are in circulation among wild canids in South America. Between the years 2005 and 2012, a survey was conducted on maned wolves (C. brachyurus) residing within the Serra da Canastra National Park (SCNP), a Cerrado preservation area located in the south-eastern region of Brazil (Arrais et al., 2021). Despite the absence of PCR-positive blood samples for Rickettsia, serological reactions were identified through the indirect immunofluorescence assay, which tested the serum samples from these wolves against the antigens of R. parkeri, R. rickettsii, R. amblyommatis, R. rhipicephali, and R. bellii. Of the wolves that were tested, 95 % (74/78) exhibited a positive reaction to at least one Rickettsia species, with R. parkeri producing the highest endpoint titers. Furthermore, some maned wolves that were recaptured during the study demonstrated a seroconversion to R. parkeri. Furthermore, molecular analyses conducted on ticks extracted from the aforementioned subjects revealed the presence of Candidatus Rickettsia andeanae and R. parkeri in adult A. tigrinum ticks (Arrais et al., 2021).

A comparable pattern was identified in the case of the foxes examined. A total of 78 C. thous foxes from the Pantanal region of Brazil were sampled between 2013 and 2015 and subjected to serological and molecular testing. The results demonstrated that 75.6 % (59/78) of the animals exhibited seroreactivity to at least one Rickettsia species (R. rickettsii, R. parkeri, R. amblyommatis) in all subjects. Additionally, one crab-eating fox was also PCR-positive for SFG Rickettsia. Of the 1582 ticks removed from the tested foxes, predominantly of the Amblyomma spp. variety, 23.5 % were found to be PCR positive for SFG Rickettsia. Furthermore, 30 samples yielded evidence of Candidatus Rickettsia andeanae (de Sousa et al., 2018). Additionally, the Pampas fox (Chrysocyon brachyurus) and South American grey fox (Lycalopex gymnocercus) from the Brazilian Pampa were examined. It was found that 62.5 % (20/32) of the animals were seropositive for R. parkeri. Furthermore, 7.5 % (22/292) of the ticks collected from the aforementioned foxes were found to contain R. parkeri DNA. However, the pathogenicity of R. parkeri for domestic and wild canids remains unknown (Dall’Agnol et al., 2018). Additionally, DNA of rickettsiae was found in two desert kit foxes in California (Shultz et al., 2023).

In the study by Santoro et al. (2017), the authors presented evidence of Rickettsia pathogen infection in the Eurasian otter (Lutra lutra) from the southern Italian population for the first time. Despite the limited number of carcasses examined, the researchers employed molecular methods to demonstrate that Eurasian otters can be naturally infected by Rickettsia sp. A molecular test was employed to detect Rickettsia-specific for R. conorii and R. rickettsii, yet the test was unable to distinguish between the two species.

It has been hypothesized that coyotes residing in the USA may be involved in the dissemination of R. rickettsii. A study was conducted on coyotes from Arizona, USA, and the results revealed the presence of R. rickettsii antigen. Furthermore, polymerase chain reaction (PCR) analyses of skin samples from the same animals demonstrated evidence of Rickettsia spp. in 2.9 % (4/138) of samples, despite the inability to identify the specific rickettsial species (Green et al., 2020). Recently, R. rickettsii has been identified in the blood of a coyote from the US–Mexico transboundary region, confirming the susceptibility of this wild canid to the infection (López-Pérez et al., 2022a, López-Pérez et al., 2022b).

Research has demonstrated that wild hyenas, encompassing both spotted and brown varieties, have also been found to carry Rickettsia species. A study conducted in Namibia and Tanzania identified R. raoultii DNA in hyena (Parahyaena brunnea and Crocuta crocuta) blood samples (Krücken et al., 2021).

Furthermore, Szekeres et al. (2019) reported the detection of Rickettsia DNA in the muscle tissues of the European lesser weasel (Mustela nivalis) and R. helvetica in the stone marten (Martes foina). Additionally, procyonids have been shown to play a significant role in the epidemiology of rickettsial agents. For instance, serological evidence of exposure to R. rickettsii, R. montana, R. parkeri, and R. bellii (369-C strain) has been documented in raccoons in the USA (Castellaw et al., 2011; Rainwater et al., 2017; Tufts et al., 2020). Furthermore, molecular identification of other Rickettsia species has been documented in skin fragments from introduced raccoons in Germany and Poland (Hildebrand et al., 2022). These included R. monacensis, R. raoultii, Candidatus Rickettsia kotlanii-like, R. helvetica, and Rickettsia sp. endosymbionts, which were also identified in spleen tissue. Samples from feral raccoons introduced into Japan yielded the following Rickettsia species: R. japonica, R. felis, R. heliongjiangensis/R. japonica, R. amblyommi, R. helvetica, and Rickettsia sp. strain Hj126 (Sashika et al., 2010; Baba et al., 2012). In Brazil, Rickettsia amblyommatis and R. bellii were identified in Amblyomma coelebs and A. ovale, respectively, obtained from coatis in Iguaçu National Park (Paraná state) (Magalhães-Matos et al., 2021).

4. Conclusions and limitations

Despite significant progress in molecular biology, there are still significant gaps in our knowledge of Rickettsia infections in wild mammals, which hinders a comprehensive theoretical and practical understanding of these pathogens. The eco-epidemiological aspect of Rickettsia research is still far from completed for several reasons.

Limited knowledge of geography and taxonomy: The geographical and taxonomic coverage of research is limited, resulting in a fragmented understanding of Rickettsia species distribution. Research on Rickettsia frequently concentrates on certain regions or species, resulting in an incomplete representation of the global distribution and diversity of Rickettsia species (Kim, 2022). The restriction in scope and range of investigation results in findings that are not widely applicable.

In recent years, a significant diversity within rickettsiae has been revealed, and the number of rickettsiosis cases and cases of Rickettsia species transmission has increased significantly. This is reflected, among other things, in subsequent changes in the systematic position of individual taxa or epidemiological groups (Rymaszewska and Piotrowski, 2024). Furthermore, Rickettsiaceae includes both pathogenic and symbiotic organisms. However, recent molecular studies raise questions about the nature of strains classified as symbiotic that have been isolated from vertebrate tissues.

Emerging and novel species: The identification of novel Rickettsia species continues to exceed the capacity of our understanding of their epidemiology and pathogenic potential (Guccione et al., 2023). Emerging species may possess distinct transmission dynamics and host ranges, which hinder efforts to predict and manage outbreaks.

Detection sensitivity: The sensitivity of detection is a crucial consideration, as it can influence the accuracy and reliability of research findings. While molecular techniques boast a high level of sensitivity, their inability to penetrate the intracellular nature of Rickettsia may hinder their capacity to identify low-level infections. This can result in underreporting and an incomplete understanding of infection prevalence (Guccione et al., 2023). Thus, there are difficulties in determining the competent definitive and reservoir hosts for individual Rickettsia species.

Despite the development of molecular methods used in the diagnosis of pathogens and parasites, it is still not possible to find fully satisfactory solutions for some of them. In the case of Rickettsia DNA detection from tissue isolates, a fragment of the gltA gene has been used for years (proposed by Roux et al., in 1997), and is still used. Its advantage is that, in comparison to other markers, it seems to be the most sensitive, however, the sensitivity is related to the use of a short fragment of the gene, but a short fragment does not allow for determining taxonomic distinctiveness. Fournier et al., in 2003 proposed multilocus sequence typing (MLST) using housekeeping genes as a tool for the effective classification of these bacteria, i.e., using 16S rRNA and gltA genes in the first step, and ompA, ompB, and the D gene in the second step. However, the analysis of the conducted studies (also those included in this review) shows that the proposed standard is difficult to implement, especially with the use of tissues. However, the analysis of the conducted studies (including those included in this review) shows that the proposed standard is difficult to implement, especially on tissue originating from wild mammals, and the gltA gene is still the most often used marker, not only in the screening step. Thus, the new proposition using a whole-genome sequence WGS for a new classification of rickettsial isolates (Diop et al., 2020) may encounter difficulties with bacteria obtained from natural sources.

Complex host-pathogen interactions: The interactions between Rickettsia and their mammalian hosts are complex and not yet fully understood (Kim, 2022). Further investigation is required to elucidate the mechanisms by which Rickettsia evade the immune responses of their mammalian hosts and establish themselves as infections.

Vector dynamics: The role of arthropod vectors, such as ticks, in the transmission of Rickettsia to wild mammals is well-documented; however, the dynamics of these interactions are not yet fully understood (Guccione et al., 2023). Further study is required on factors influencing the competence of vectors, seasonal variations in transmission dynamics, and environmental influences on vector populations.

In order to address these knowledge gaps, a multidisciplinary approach is essential, combining field studies, advanced molecular techniques, and collaborative efforts across regions and disciplines. Enhanced surveillance and improved diagnostic methods are essential for the advancement of our knowledge of Rickettsia in wild mammals. A deeper understanding of host-pathogen-vector interactions is also necessary for this purpose.

CRediT authorship contribution statement

Agnieszka Perec-Matysiak: Writing – review & editing, Writing – original draft, Supervision, Data curation, Conceptualization. Katarzyna Buńkowska-Gawlik: Writing – review & editing, Writing – original draft, Data curation, Conceptualization. Laura Tomassone: Writing – review & editing, Writing – original draft, Data curation. Joanna Hildebrand: Writing – review & editing, Writing – original draft, Data curation, Conceptualization.

Declaration of competing interests

The authors declare that they have no conflict of interest regarding the publication of this manuscript.

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