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Molecular Epidemiology of Tick-Borne Pathogens in Jiangxi Province: A High Prevalence of Rickettsia, Anaplasma and Ehrlichia in Rhipicephalus microplus from Cattle in Ganzhou City, China

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19 June 2025

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19 June 2025

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Abstract
Rickettsia, Anaplasma, and Ehrlichia species are emerging tick-borne pathogens that cause zoonotic diseases including rickettsiosis, anaplasmosis, and ehrlichiosis in both human and animal populations. This study aimed to investigate the prevalence of these pathogens in cattle-associated ticks from Ganzhou City, Jiangxi Province, China. Through molecular characterization using multilocus sequence analysis (16S rRNA, gltA, groEL, and ompA genes), we analyzed 392 Rhipicephalus microplus ticks collected from 2022 to 2023. The PCR results showed that 8 pathogens were detected, including 2 species of Rickettsia (51/392, 13.0%), 4 species of Anaplasma (52/392, 13.3%), and 2 species of Ehrlichia (70/392, 17.9%). Notably, the circulation of multiple pathogen species within R. microplus populations demonstrates significant microbial diversity in this region. Further consideration and investigation should be given to the possible occurrence of rickettsiosis, ehrlichiosis and anaplasmosis in humans and domestic animals. Our study provides critical baseline data for developing targeted surveillance strategies and informs public health interventions against tick-borne diseases in southeastern China.
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* Corresponding authors. E-mail: qintian@icdc.cn (Tian Qin)

1. Introduction

Ticks, being the second most significant arthropod vectors after mosquitoes, surpass other hematophagous species in their ability to transmit a diverse range of pathogens. They have been documented to carry 83 viral species, 31 bacterial species, and 32 protozoan species (Dantas-Torres et al., 2012). Tick bites can cause human diseases, most of which are important natural infectious diseases and zoonotic diseases, such as fever with thrombocytopenia syndrome, tick-borne typhus, forest encephalitis, tick-borne hemorrhagic fever, Q fever, Lyme disease, human granulocytic anaplasmosis, and Bartonella infection. Annually, tick-borne pathogens cause more than 100,000 cases of human disease globally (de la Fuente et al., 2008).
Rhipicephalus microplus, formerly known as Boophilus microplus, belongs to Ixodidae family. Its life cycle consists of four stages: egg, larva, nymph and adult. Each stage requires blood meal to undergo molting to complete the metamorphosis process (Deng and Jiang, 1992). R. microplus exhibites a single-host life cycle and predominantly infests bovine animals, earning it the common name “bovine lice” in China. Over the past few decades, it has been widely regarded as the most economically significant ectoparasite affecting cattle worldwide (Schetters et al., 2016), particularly in tropical and subtropical regions (Almazán et al., 2012). It can carry and transmit a wide range of human and animal pathogens. Some of these pathogens include severe fever with thrombocytopenia syndrome virus, Babesia bovis, Ehrlichia ruminantium, Ehrlichia canis, and spotted fever group Rickettsia, Anaplasma phagocytophilum, Anaplasma marginale, and Anaplasma capra, and is therefore considered to be an important vector of infectious diseases that threaten human and animal health (Zhao et al., 2021). Furthermore, about 80% of the world’s cattle population is affected by ticks and tick-borne pathogens, which causes severe economic losses due to the costs associated with parasite control, as well as due to reduced fertility, body weight, and milk production (Narladkar, 2018;Valente et al., 2024).
Rickettsiales bacteria, including the spotted fever group of Rickettsia (SFGR), Anaplasma, and Ehrlichia, are recognized as important tick-borne pathogens (Rochlin and Toledo, 2020). Importantly, as urbanization progresses, the risk of human and animal contact with tick species gradually increases (Piotrowski and Rymaszewska, 2020). Thus, it is crucial to enhancing the surveillance of tick-borne pathogens. Ganzhou city is located in the south of Jiangxi Province, located at the southern edge of the subtropical zone in the middle subtropics, and belongs to the subtropical hilly and mountainous area with a humid monsoon climate, which provides suitable habitats for the survival and reproduction of ticks (Chen et al., 2010). Its terrain is mainly composed of mountains, hills, and basins. Livestock often become heavily infested with ticks when they graze in the fields. Therefore, this study performed molecular biological detection on ticks collected from cattle in Ganzhou city during the period from 2022 to 2023, aiming to understand the diversity of Rickettsiales bacteria carried by ticks in this area, and provide scientific basis for the prevention and control of tick-borne Rickettsial diseases.

2. Materials and Methods

2.1. Tick Collection and Identification

From March to September in 2022, a total of 392 ticks were collected from 30 cattle in Ganzhou, Jiangxi Province (latitude 24°29′N - 27°09′N, longitude 113°54′E - 116°38′E). This included 8 yellow cattle and 22 dairy cows. All ticks were first identified basedon morphological differences in their capitulum and body by atrained technician using light microscopy (Azmat et al., 2018). The tick species were further confirmed by PCR amplification of the cytochrome c oxidase subunit 1 (COI) gene (Cao et al., 2000). All ticks were stored at −80°C prior to DNA extraction.

2.2. DNA Extraction

First, the ticks were cleaned successively with benzalkonium bromide at the working concentration, 75% ethanol, and Sucrose-Phosphate-Glutamate (SPG). Subsequently, each tick was placed into a centrifuge tube containing 200 μL of SPG, and homogenization was achieved using a grinding instrument. Finally, DNA was extracted using the QIAamp DNA Mini Kit (Qiagen, Germany) according to the manufacturer's protocol. All DNA samples were stored at -20℃.

2.3. Polymerase Chain Reaction

Nested and semi-nested PCR were used to detect pathogens, namely Rickettsia, Anaplasma, and Ehrlichia. Rickettsia spp. was detected by nested PCR as described previously using primers targeting a conserved region of the 16S rRNA gene, resulting in a PCR product of approximately 900 bp (Guo et al., 2016). The DNA samples were also screened for Anaplasmataceae bacteria as described previously, amplifying a 500 bp fragment of the 16S rRNA gene (Jafar Bekloo et al., 2018). The primers were custom-synthesized by Beijing DIA-UP Biotechnology Co., LTD. The target fragment was verified by agar-gel electrophoresis and further confirmed by Sanger sequencing at Tianyi Huiyuan Biotechnology Company (Beijing, China). The obtained 16S rRNA gene sequences were compared with reference sequences in the GenBank Database for initial species determination. To precisely determine the bacterial species and analyze the genetic diversity of detected strains, nearly complete 16S rRNA gene sequences (1000 bp), and partial sequences of gltA (961 bp), groEL(1021bp)and ompA (700 bp) were obtained for representative Rickettsia strains using primers described previously (Jafar Bekloo, et al., 2018). For Anaplasma and Ehrlichia, the 16S rRNA, gltA, and groEL genes were amplified using nested primers (Guo, et al., 2016;Yang et al., 2017;Jafar Bekloo, et al., 2018). The PCR products were subjected to sequencing in both directions. All sequences have been uploaded to the GenBank Database and the accession numbers are shown in Table S1.

2.4. Phylogenetic Analysis

The sequences were edited and assembled using the SeqMan software (DNASTAR, Madison, WI, USA; SeqMan Pro 12.1.0). Basic Local Alignment Search Tool (BLAST) analyses were performed to compare with the sequences available in GenBank. Additionally, the neighbor - joining (NJ) method was adopted for multiple sequence alignments, and a phylogenetic tree was constructed in MEGA 7.0. To evaluate the reliability of the results, 1000 bootstrap replications were carried out.

3. Results

3.1. Tick Identification

A total of 392 ticks were collected in Ganzhou city, Jiangxi Province, from 2022 to 2023, including 97 nymphs (24.7%) and 295 adults (75.3%). Engorgement analysis indicated 257 semi-engorged (65.6%) and 135 fully engorged specimens (34.4%) (Figure 1, Table S2). All of them were collected from the body surface of cattle, including 8 yellow cattle and 22 dairy cows. Through morphological identification and molecular biological testing, it was determined that all the ticks belonged to the Rhipicephalus microplus (100%, 392/392). The phylogenetic tree constructed based on the COI gene sequence is shown in Figure 2. The R. microplus isolate JX136 and JX354 showed 100% identity (Query cover: 100%, E-value: 0.0) with previously reported R. microplus (OK175790). The R. microplus isolates JX028, JX301, and JX334 also clustered within the same branch in the phylogenetic tree (Query cover: 100%, E-value: 0.0). Five representative COI gene sequences were selected and submitted to GenBank, with accession numbers PQ836410-PQ836414.

3.2. Rickettsia Bacteria Detected in Ticks

To gain a better understanding of the phylogenetic relationships between the Rickettsia spp. in this study and those described previously, nucleotide alignments and analysis of Rickettsia spp. were carried out based on the 16S rRNA, gltA, groEL and ompA genes. In the 16S rRNA phylogenetic tree, the Candidatus Rickettsia jingxinensis isolate JX312, JX402 and JX412 in the blue box exhibited 100% homology to the same branch Ca. R. jingxinesis. Similarly, Rickettsia japonica isolate JX356 and JX357 in the green boxes with known R. japonica strains. The sequences of gltA, groEL, and ompA for Ca. R. jingxinensis were identical to those of Ca. R. jingxinensis isolate Dehong (OL856118-120). Although gltA fragments were not amplified in R. japonica samples, the groEL and ompA gene fragments showed high homology (Query cover: 100%, E-value: 0.0) with the R. japonica strain HH06154. Based on the comprehensive analysis of four genes, it was determined that two species of Rickettsia were detected in this tick species, including Ca. R. jingxinensis and R. japonica. Their positive rates were 3.8% (15/392) and 9.2% (36/392), respectively (Figure 3).

3.3. Anaplasma Bacteria Detected in Ticks

Four Anaplasma species were identified in the ticks with a combined positive rate of 13.3% (52/392): A. platys (0.5%, 2/392), Ca. A. cinensis (0.5%, 2/392), A. marginale (11.7%, 46/392), and A. capra (0.5%, 2/392). A. platys detected in the current study was classified into two genotypes in the phylogenetic tree based on the 16S rRNA genes. Isolates JX108 and JX295 were most closely related to WHARSA-47-1 and WHARSA-24-2 respectively. The sequences of the three genes shared 99.46–100% identity with A. platys strains from other provinces of China. In the phylogenetic tree constructed based on 16srRNA, gltA, and groEL genes, although JX145 and JX434 clustered with both A. platys and Ca. A. cinensis, a detailed analysis revealed that three genes were together with Ca. A. cinensis isolate AK-Rm-228 (MH762079, MH716426, MH716434), so they were identified as Ca. A. cinensis. As a widely - distributed animal pathogen, A. marginale shared 99.87 - 100% homology with other A. marginale strains on the same branch of the phylogenetic tree. Its prevalence was the highest among the Anaplasma species detected, reaching 11.7%, which accounted for 88% of the total positive rate for Anaplasma. One group of A. capra was closest to A. capra KWD-23 (LC432184), with 99.85-100% identity according to the 16S rRNA, gltA, and groEL (Figure 4).

3.4. Ehrlichia Bacteria Detected in Ticks

Of the 392 ticks screened in Ganzhou city, 70 (17.9%) tested positive for Ehrlichia including two species: E. minasensis and Ehrlichia sp. The 16S rRNA, gltA, and groEL sequences of E. minasensis strains (E. minasensis isolate JX206 and E. minasensis isolate JX424) showed 100% identity with E. minasensis isolate JZT254 (from Jinzhai County, Anhui Province). The 16S rRNA sequences of the randomly selected Ehrlichia sp. strains had three different nucleotides and they were divided into different clades in the phylogenetic tree. The group in which Ehrlichia sp. isolate JX104 was located exhibited 99.82% - 100% homology with other Ehrlichia in the same branch. Its 16S rRNA, gltA, and groEL sequences showed 99.1%, 100%, and 100% homology to Ehrlichia sp. strain WHBMXZ-43, respectively. The 16S rRNA gene sequences of the other group of Ehrlichia sp. (Ehrlichia sp. isolate JX312 and JX319) shared 99.91% and 99.65% homology with Ehrlichia sp. BL157-4 and Ehrlichia sp. ERm58, respectively. The gltA sequences were closely related to Ehrlichia sp. ERm58 with 94.50% homology. The groEL gene sequences of Ehrlichia sp. isolate JX319 were 100% identical to those of Ehrlichia sp. isolate JZT43 (Figure 5).

4. Discussion

Rhipicephalus microplus is distributed in Asia, Latin America, the Middle East, and East and South Africa (Kamani et al., 2017). It has been found that R. microplus has been reported and recorded in a total of 56 countries worldwide, of which 463 coordinates have been reported in China (Xiao, 2022). Studies have shown that there are 18 species of ticks in Jiangxi Province, which belong to 2 families and 6 genera (Tian et al., 2023). As an important vector organism, the study on the R. microplus in Ganzhou City, Jiangxi Province is not comprehensive, and its pathogen spectrum needs to be further studied. In this study, 2 Rickettsia, 4 Anaplasma, and 2 Ehrlichia species in total were detected and characterized in Ganzhou city, Jiangxi Province.
The detection of Rickettsia in ticks has important implications not only for identifying infected ticks, but also for assessing the risk of transmission to humans (Philippe Parola, 2001). In the present study, two Rickettsia spp. (R. japonica and Ca. R. jingxinesis) were detected in the ticks. R. japonica, the causative agent of Japanese spotted fever (JSF), is transmitted by the bite of arthropods (mainly ticks) and was first diagnosed in Japan in 1984 (Mahara et al., 1985). In recent years, the geographical distribution of R. japonica in ticks in China has been expanding, which indicates an increased risk of disease to human health. In addition, delays in JSF diagnosis and treatment can lead to death (Teng et al., 2023). In this study, we obtained 16S rRNA, groEL and ompA gene fragments of R. japonica, which were 100% homologous to the existing gene fragments in the database, revealing the potential risk of JSF to the local human. Ca. R. jingxinensis, named after its geographical origin, is widespread in China (Liu et al., 2016). The Ca.R. jingxinensis variant R. sp. XY118 has been found in tick-bitten patients, which suggests that Ca.R. jingxinensis is a potential human pathogen and provides a basis for monitoring its infection in humans (Li et al., 2020).
Anaplasmosis is a priority disease in the Terrestrial Animal Health Code of the World Organization for Animal Health(https://www.defesa.agricultura.sp.gov.br/informativo/defesa-agrosp-no-016-novembro20/organizacao-mundial-de-saude-animal/). In the present study, four bacterial species belonging to the genus Anaplasma were identified: A. platys, A. marginale, A. capra and Ca. A. cinensis. A. platys was first described as a canine pathogen that infects the host’s platelets, and was identified as the etiological agent for canine cyclic thrombocytopenia, affecting cats and some ruminants such as cattle, goats, camels, buffalo, and red deer (Harvey et al., 1978). Although the R. sanguineus tick is thought to be the primary vector of A. platys transmission, its DNA has also been detected in other tick species. In 2013, the first case obtained DNA fragment of A. platys from a blood sample of a female veterinarian (Maggi et al., 2013). In 2014, another study reported two case reports of A. platys detection in two women from Venezuela (Arraga-Alvarado et al., 2014). A. marginale is widely distributed throughout the world and is an important animal pathogen that can cause bovine anaplasmosis, which is characterized by fever, anemia, jaundice, abortion, wasting and other symptoms, transplacental routes have also been reported (Kocan et al., 2004;Aubry and Geale, 2011;Garcia et al., 2022). In our study, the positive rate of A. marginale was as high as 11.7%, which is worthy of concern. A. capra has attracted widespread concern since it was first identified in goats and patients in China in 2015 (Li et al., 2015). And there are model predictions that this zoonotic pathogen could spread to wider areas, so its public health and veterinary implications warrant further study (Lin et al., 2023). Ca. A. cinensis is a new unclassified Anaplasma species genetically related to A. platys, which was first identified in ticks in southeastern Shaanxi Province (Guo et al., 2019). The epidemiology of anaplasmosis in humans caused by these two Anaplasma species should be evaluated in future studies.
The genus Ehrlichia belongs to the family Anaplasmataceae and consists of six recognized species of bacteria: E. canis, E. chaffeensis, E. muris, E. ewingii, E. ruminantium, and E. minasensis (Dumler et al., 2001;Aguiar et al., 2019). Ehrlichia minasensis, an Ehrlichia closely related to E. canis, was initially reported in Canada and Brazil (Gajadhar et al., 2010;Zweygarth et al., 2013). This bacterium has now been reported in Pakistan, Malaysia, China, Ethiopia, South Africa, and the Mediterranean island of Corsica, suggesting that E. minasensis has a wide geographical distribution (Cabezas-Cruz et al., 2019). In this study, the positive rate of E. minasensis was 1.5%, suggesting that E. minasensis is circulating among cattle in Ganzhou city. Sero-epidemiological investigation of local cattle is needed to understand the prevalence of E. minasensis in infected animals. In the present study, uncultured strains belonging to two Ehrlichia spp. (Ehrlichia sp. JX104, JX148, JX162, JX194, and JX196 and Ehrlichia sp. JX312, and JX319) were detected in this study. Ehrlichia sp. JX104, JX148, JX162, JX194, and JX196 were more closely related to Ehrlichia sp. strain WHBMXZ-43 identified in R. microplus from Wuhan, China. Ehrlichia sp. JX312, and JX319 were clustered together with Ehrlichia sp. EmR58 found in African ticks. Despite the absence of documented clinical manifestations caused by these Ehrlichia strains in human populations, this study raises substantial concerns regarding potential zoonotic hazards, particularly given the expanding recognition of arthropod-borne infectious agents as emerging disease threats. Current epidemiological evidence corroborates that numerous microbial species initially classified as non-pathogenic have subsequently been implicated in human pathogenesis. This paradigm shift underscores the critical need for proactive assessment of microbial virulence factors, even when preliminary pathogenicity data remain inconclusive. Such dual-directional research holds particular significance for public health preparedness, given the accelerated geographic expansion of tick populations and their associated microbial communities under current climate change scenarios.
Rickettsia, Anaplasma and Ehrlichia were detected in R. microplus in the study area, indicating a risk to livestock workers and farmers, especially in rural areas (Table S3). In addition, it may be associated with economic losses and food security by affecting livestock. Therefore, understanding all aspects of these bacteria, such as their ecology, genetic diversity and pathogenicity, is essential to mitigate the associated risks locally.
There are also some limitations in our study. First of all, the host species involved in the sample was single, so it is necessary to expand the host species in subsequent studies. Second, a positive PCR test for the pathogen of the collected bovine parasitic ticks could not distinguish whether the DNA template of the pathogen came from an infected tick or cattle blood degraded in the tick intestine, and further investigation of tick-borne pathogens in local cattle and free ticks is still needed.

5. Conclusion

In summary, our study revealed a diversity of pathogenic Rickettsial species in R. microplus ticks from Jiangxi Province, suggesting a potential threat to humans and animals in China. Our results may contribute to the current understanding of the biodiversity of Rickettsiales bacteria circulating in this region.

Supplementary Materials

Table S1 GenBank numbers of sequences obtained in this study. Table S2 Statistical table of developmental stage and blood-soaked state of ticks. Table S3 The positive rate and quantity of Rickettsiales bacteria detected in this study.

Author Contributions

Jia He: Writing – review & editing, Writing – original draft. Meng Yang: Investigation, Formal analysis. Tian Qin: Writing – review & editing, Visualization, Funding acquisition, Conceptualization. Zhongqiu Teng: Visualization, Methodology. Peng Wang: Investigation, Formal analysis. Junrong Liang: Resources, Conceptualization. Yusheng Zou: Writing – review & editing, Supervision. Wen Wang: Supervision, Investigation. Na Zhao: Formal analysis.
Data availability statement: All the sequence files are available from the NCBI database (the accession numbers are shown in Table S1).

Funding

This work was supported by the National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases of China [grant numbers 2024NITFID504 and 2024NITFID402]; Youth Fund for Enhancing Capability of Infectious Disease Surveillance and Prevention [grant number No. 102393240020020000003].

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Map showing the location of ticks in Ganzhou city, Jiangxi Province, China. The map approval number is GS (2024)0650. It was constructed using ArcGIS 10.8 software.
Figure 1. Map showing the location of ticks in Ganzhou city, Jiangxi Province, China. The map approval number is GS (2024)0650. It was constructed using ArcGIS 10.8 software.
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Figure 2. Phylogenetic analysis of ticks was conducted based on the nucleotide sequences of COI gene. The resulting tree shows the relationship of R. microplus with other tick species. Sequences obtained in this study are marked with a red.
Figure 2. Phylogenetic analysis of ticks was conducted based on the nucleotide sequences of COI gene. The resulting tree shows the relationship of R. microplus with other tick species. Sequences obtained in this study are marked with a red.
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Figure 3. Phylogenetic trees constructed based on the nucleotide sequences of the 16S rRNA, gltA, groEL and ompA genes of Rickettsia strains. Sequences obtained in this study are marked in red.
Figure 3. Phylogenetic trees constructed based on the nucleotide sequences of the 16S rRNA, gltA, groEL and ompA genes of Rickettsia strains. Sequences obtained in this study are marked in red.
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Figure 4. Phylogenetic trees constructed based on the nucleotide sequences of the 16S rRNA, gltA, groEL genes of Anaplasma strains. Sequences obtained in this study are marked in red.
Figure 4. Phylogenetic trees constructed based on the nucleotide sequences of the 16S rRNA, gltA, groEL genes of Anaplasma strains. Sequences obtained in this study are marked in red.
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Figure 5. Phylogenetic trees constructed based on the nucleotide sequences of the 16S rRNA, gltA, groEL genes of Ehrlichia strains. Sequences obtained in this study are marked in red.
Figure 5. Phylogenetic trees constructed based on the nucleotide sequences of the 16S rRNA, gltA, groEL genes of Ehrlichia strains. Sequences obtained in this study are marked in red.
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