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Article

Prevalence of Bacterial and Protozoan Pathogens in Ticks Collected from Birds in the Republic of Moldova

1
Center of Research of Biological Invasions, Institute of Zoology, MD-2012 Chisinau, Moldova
2
Natural Geography Department, Shevchenko Transnistria State University, MD-3300 Tiraspol, Moldova
3
Comparative Tropical Medicine and Parasitology, Ludwig-Maximilians-Universität München, 80802 Munich, Germany
4
Institute of Infectology, Friedrich-Loeffler-Institute, 17493 Greifswald, Germany
5
Department of Biomedical Sciences and Comprehensive Care, Indiana University School of Dentistry, Indianapolis, IN 46202, USA
6
Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, 20359 Hamburg, Germany
7
Institute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, 18057 Rostock, Germany
8
Bernhard Nocht Institute for Tropical Medicine Hamburg, 20359 Hamburg, Germany
*
Authors to whom correspondence should be addressed.
Microorganisms 2022, 10(6), 1111; https://doi.org/10.3390/microorganisms10061111
Submission received: 29 April 2022 / Revised: 20 May 2022 / Accepted: 24 May 2022 / Published: 27 May 2022
(This article belongs to the Special Issue Research on Ticks and Tick-Borne Pathogens)

Abstract

:
Epidemiological knowledge on pathogens in ticks feeding on birds in Moldova is scarce. To reduce this gap of information, a total of 640 migrating and native birds of 40 species were caught from 2012 to 2015 and examined for the presence of ticks in the Republic of Moldova. Altogether, 262 ticks belonging to five tick species (Ixodes ricunus n = 245, Ixodes frontalis n = 12, Haemaphysalis punctata n = 2, Hyalomma marginatum n = 2 (only males), Dermacentor marginatus n = 1) were collected from 93 birds. Of these ticks, 250 (96%) were at the stage of a nymph and 9 at the stage of a larva (3%). One imago of I. frontalis and two imagoes of Hy. marginatum were found. Generally, ticks infested 14.1% of the assessed birds belonging to 12 species. DNA was extracted from individual ticks with subsequent PCR targeting Rickettsia spp., Borrelia spp. in general, as well as relapsing fever-associated Borrelia spp., in particular, Anaplasma phagocytophilum, Neoehrlichia mikurensis, Babesia spp. and Coxiella burnetii. The bird species Turdus merula showed the heaviest infestation with ticks and the highest incidence of infected ticks. Altogether, 32.8% of the assessed ticks (n = 86) were positive for one of the pathogens. DNA of Borrelia spp. was found in 15.2% (40/262) of the investigated ticks; in 7.6% of ticks (20/262), DNA of rickettsiae was detected; 6.9% (18/262) of the ticks were positive for A. phagocytophilum DNA; in 1.5% of the ticks (4/262), DNA of Neoehrlichia mikurensis was detected, followed by 1.5% (4/262) Babesia microti and 1.5% (4/262) Borrelia miyamotoi. Within the B. burgdorferi complex, B. garinii (n = 36) was largely predominant, followed by B. valaisiana (n = 2) and B. lusitaniae (n = 2). Among the detected Rickettsia spp., R. monacensis (n = 16), R. helvetica (n = 2) and R. slovaca (n = 1) were identified. In conclusion, the study provided some new information on the prevalence of ticks on birds in Moldova, as well as the presence of DNA of pathogens in the ticks. By doing so, it provided an additional piece in the puzzle of the global epidemiology of tick-transmitted infectious diseases from a geographic side from where respective surveillance data are scarce.

1. Introduction

Ticks are important vectors of animal and human pathogens. Ixodes ricinus can transmit important viral and bacterial pathogens, such as tick-borne encephalitis virus and Borrelia burgdorferi sensu lato, as well as other pathogens, such as Babesia spp., Anaplasma phagocytophilum, spotted fever group (SFG) rickettsiae, relapsing fever group borreliae and Neoehrlichia mikurensis [1,2].
To shortly summarize these pathogens, Anaplasma phagocytophilum causes anaplasmosis in dogs, horses, sheep and cattle, also known as tick-borne fever, and is the causative agent of human granulocytic anaplasmosis (HGA). The pathogen has been detected in I. ricinus in several European countries with prevalence ranging from 2% to 45% [3]. The first confirmed HGA case in Europe was diagnosed in Slovenia in 1997. Afterward, >100 HGA cases were reported mainly in Slovenia, Scandinavia and France [4,5,6,7]. Rickettsiae are bacterial pathogens transmitted by blood-sucking ectoparasites, such as ticks, fleas and lice. Members of the genus Rickettsia, pathogenic to humans, were traditionally classified into the spotted fever group (SFG), including symbionts transmitted by hard ticks, and the typhus group, including Rickettsia typhi [8]. Many different SFG Rickettsiae causing rickettsiosis in humans have been detected in Europe. The symptoms of rickettsiosis include fever, headache, rash, muscular pain and local lymphadenopathy [9]. Babesia spp. are protozoan pathogens that reside inside the erythrocytes of infected animals. Babesiae can be transmitted by ticks and, rarely, humans may be affected [10]. B. microti is primarily responsible for human babesiosis in North America and B. divergens in Europe. During the last 50 years, several hundred human clinical cases in North America and about 50 clinical cases in Europe have been reported, mostly in immunosuppressed patients [11]. In previous investigations on I. ricinus in several European countries, the species B. divergens, B. microti and B. venatorum have been detected [11]. In addition, B. duncani (Babesia sp. WA1), B. crassa-like, Babesia sp. KO, Babesia sp. CN1 (Babesia sp. XXB/HangZhou) and B. odocoilei have been recently acknowledged as zoonotic species [12]. Lyme disease is a tick-transmitted multisystemic infection, which is caused by spirochetes of Borrelia burgdorferi sensu lato [2]. In recent years, increasing numbers of reports have been published on the detection of relapsing fever-associated borreliae, such as Borrelia miyamotoi, in hard ticks in central Europe and in associated human cases [13]. Further, human cases of B. miyamotoi have been reported in Russia, the United States, the Netherlands and Japan [14,15,16,17,18]. Neoehrlichia mikurensis is an emerging tick-borne pathogen causing a systemic inflammatory syndrome. In Europe, clinical symptoms caused by N. mikurensis infections have mainly been described in immunocompromised patients. The most frequent symptoms were fever, localized muscular pain and/or painful joints, as well as vascular and thromboembolic events [19,20,21].
By themselves, ticks are not highly mobile, and the most efficient way to expand their habitat is by hosts. Birds, due to their ability to fly, have the greatest influence on the resettlement of ticks [22,23]. In Europe, migratory birds generally host a number of tick species belonging to the genera Ixodes, Haemaphysalis and Hyalomma [24]. In Moldova, birds were found to be infested with several tick species in previous investigations, e.g., with Ixodes ricinus, I. frontalis, Haemaphysalis punctata, I. lividus and Hyalomma marginatum [25,26]. In eastern Europe, there are two major routes for bird migration, which merge into the eastern Mediterranean flyway, just on the border of the Republic of Moldova near the Danube Delta, which hosts more than 300 species of birds. Around half a million birds migrate through the territory of the Republic of Moldova each year [25,27]. Many of these travel from Africa and can therefore carry even tropical ticks, which, again, may host regionally abundant pathogens. Due to the continental climate in Moldova with hot summers and due to the general climate change, tropical ticks can at least survive during the summer season in Moldova [27].
There is hardly any information on the questions of which birds carry which ticks in Moldova, and which ticks host which pathogens to what extent. An assessment with historic ticks from the 1960s suggested the abundance of the abovementioned pathogens in low percentages [28]. Further, there is some, but still limited, information available from the neighboring countries [27,29,30]. However, precise information on the local presence of ticks and tick-borne pathogens is important in order to estimate the likeliness of respective diseases in humans and animals and in order to facilitate control measures if necessary. To contribute to the scarcely available epidemiological information, birds were caught in Moldova. Subsequently, ticks from those birds were collected, identified and screened by PCR for bacterial and protozoan pathogens comprising Borrelia burgdorferi sensu lato, relapsing fever group Borrelia, Anaplasma phagocytophilum, spotted fever group (SFG) rickettsiae, Neoehrlichia mikurensis, Babesia spp. and Coxiella burnetii.

2. Materials and Methods

2.1. Sampling Sites

The collection of field material was carried out during the three field seasons of 2012–2015. The field material was collected in the territories of the Yagorlyk Reserve, Prutul de Jos Reserve, Codrii Reserve, Padurea Domneasca Reserve, around the city of Chisinau, in Chisinau Botanical Garden, as well as in the Badraji Vechi and Baltsata villages (Table 1, Figure 1).

2.2. Sampling Strategy

During the field studies, birds were caught with the help of specialized nylon nets. A total of nine black nylon nets were applied. The nets were made in-house by trimming and redrawing of four Ecotone Inc. (Gdynia, Poland) nets from Poland (Ecotone Mist Net 716/12), which were converted from five pockets to three pockets, from 12 m to 6 m length and from a height of 2.5 m to 1.5 m.
Nine nets were installed at three different locations at each collection point. Three nets were located in dense vegetation or in the undergrowth; three were located on the border of forest plantations, and three were located in the bushes near human dwellings. For the permanent collection points, which were the Yagorlyk Nature Reserve and the Botanical Garden of Chisinau, every month, there were 3 full days of collecting; the interval between capturing days was from 6 to 10 days, depending on weather conditions. Collecting was not performed during rainy or windy days.
During each day, the nets were installed from sunrise to dawn and were checked approximately every hour in the afternoon, and every 30 min in the morning and in the evening. All birds were identified to the species level according to Cramp and Brooks [31]. If possible, gender and age were determined.
The head and neck of each bird were examined for the presence of ectoparasites. The feathers on the neck and head were checked with the help of entomological tweezers; special attention was paid to the favorite places of parasite concentration: the head, auricles, eyelids.
The captured birds were released immediately after the inspection. Ticks from birds were collected using specialized tweezers and placed in 70% ethanol using a separate 1.5 mL plastic tube for each bird. Ticks were identified in the laboratory under a stereomicroscope using the identification keys of Nosek (1972), Fillipova (1979, 1998) and Apanaskevich (2006, 2008) [32,33,34].
Investigations of the collected material by molecular genetic techniques were performed partially in Germany (Bernhard Nocht Institute, Hamburg; Ludwig-Maximilians-Universität, Munich; Friedrich-Loeffler-Institute, Department of Bacterial Infections and Zoonoses, Jena) and at the Center for Molecular Phylogeny in the Institute of Zoology, Chisinau, Moldova.

2.3. Nucleic Acid Extraction

In the laboratory, individual ticks were washed in distilled water and subsequently cut in two equal pieces. Then, one piece was stored in a freezer in a single tube at −20 °C for further putative analysis. The examined piece was cut into several pieces with a disposable scalpel, which were placed in 1.5 mL tubes in 100 μL phosphate-buffered saline (PBS). Samples were homogenized in a SpeedMill homogenizer (Jena, Germany) with the help of innuSPEED Ceramic beads Type P (2.4–2.8 mm) (Hannover, Germany). DNA was extracted individually from every tick using the QIAGEN DNAEasyBlood and Tissue Kit (QIAGEN, Hilden, Germany), according to the manufacturer’s instructions, with a minor modification as follows: the samples were incubated in ATL-buffer (30 mM Tris·Cl; 8 mM EDTA; 0.5% SDS) containing 1.25 µg/mL proteinase K for 60 min at 50 °C. The quantity and quality of the extracted DNA were evaluated with NanoDrop® 2000 spectrophotometer analysis (NanoDropTechnologies, Wilmington, DE, USA).

2.4. Applied Molecular Pathogen Detection and Differentiation Approaches

For the amplification of the B. burgdorferi sensu lato DNA, a 5S-23S rDNA (intergenic spacer region (IGS)) fragment was used as a PCR target. The primers rrfA and rrlB with an expected PCR product size of 198 base pairs (bp) and the protocol were described by Richter and colleagues [35]. Band visualizing was conducted by electrophoresis on 2% agarose gels in Tris-acetate-EDTA-buffer (TAE), as well as staining with ethidium bromide (Sigma-Aldrich, Hamburg, Germany). Relapsing fever group borreliae were targeted with a hybridization probe-based real-time PCR, aiming at the 23S rDNA, as described [36], which was run on an AB7500fast cycler (Waltham, MA, USA). Positive samples were confirmed by gel PCR using another set of primers, as described by Assous and colleagues [37], targeting the Borrelia-specific flaB flagellin gene. Again, band visualization was based on electrophoresis on 1.2% agarose gel in TAE and staining with ethidium bromide.
Species of the Rickettsia spotted fever group were detected using a previously published hybridization probe-based real-time TaqMan PCR assay specific for a 74-bp fragment of the gltA gene [38] on RotorGene Q cyclers (Qiagen, Hilden, Germany). For positive samples, 2 additional conventional PCRs were added. First, a protocol based on the conventional PCR primers 120-M59 and 120-807, which amplify a 764-bp fragment of the rickettsial 135-kDa outer membrane protein B gene (ompB), was applied [39]. If an amplicon of the expected size was observed, the positive samples were also tested using another published protocol based on the CS1d and CS2d primers, which amplify 1254 bp of the gltA gene [40]. Amplicons obtained by conventional PCR were visualized by electrophoresis on 1% agarose gels in TAE and stained with ethidium bromide.
DNA eluates were screened for A. phagocytophilum using a real-time PCR targeting a 77 bp fragment of the msp2 gene, as previously described [41]. To confirm positive A. phagocytophilum results, a nested PCR targeting a 497 bp region of the 16S rRNA gene was performed, as reported in the literature [42]. The detection of DNA of Babesia spp. was carried out with a conventional PCR targeting the 18S rRNA gene [43]. For both the A. phagocytophilum-specific nested PCR and the Babesia spp.-specific conventional PCR, the amplicons were visualized in 2% agarose gel electrophoresis. Staining was performed with Gel Red (Biotium, Fremont, CA, USA) in Germany and with ethidium bromide in Moldova. For the detection of N. mikurensis DNA, a previously described real-time PCR targeting the groEL gene was applied [44]. A subset of 129 ticks, which were collected until summer 2014, was tested with a published real-time PCR protocol targeting the icd gene of Coxiella burnetii [45].
Applied oligonucleotides and further reaction details are indicated in the Appendix A Table A1.
PCR amplicons of the conventional PCRs targeting Anaplasma, Babesia, Borrelia and Rickettsia were purified with the GeneJetTM PCR Purification Kit (Thermo Fisher Scientific Inc., Waltham, MA, USA) and sent to Eurofins Genomics for bidirectional sequencing. Sequences were compared to sequences deposited in the NCBI GenBank, applying the BLASTn tool. Sequences of PCR products and those obtained from GenBank were edited using the BioEdit Sequence Alignment Editor (version 7.0.5.3; Hall, 1999; Raleigh, NC, USA). As sequencing was performed for diagnostic purposes only, no sequence information was deposited.

2.5. Statistical Analysis

Ginsberg’s coinfection index (Ic) was calculated to test for differences between the observed and expected co-infection rates. The Ic is positive when the number of co-infections is greater than expected. The significance of the index was assessed, applying the v2-test [46]. Kendall’s correlation coefficient (R) was used to evaluate a correlation between the total number of tested ticks and the total number of co-infected ticks.

2.6. Ethical Clearance

No bird was seriously injured during the study. The research was conducted pursuant to the Moldavian Code of Ethics. Since this work was carried out as part of a PhD thesis, the methodology and principles of the work were considered by a specialized commission of the State University Dimitrie Cantemir and the Institute of Zoology (Chisinau, Moldova). After a review of the provided research protocol, compliance with all regulatory requirements and local laws was confirmed. No regulatory or ethical issues were identified, and the protocol was approved.

3. Results

3.1. Detection of Ticks on Caught Birds

A total of 640 birds belonging to 40 species from 16 families were captured and examined for tick infestation during the study period. Details are provided in Table 2.
Ticks were found on 93 birds (35%). A total of 262 ticks were collected, belonging to five species (I. ricinus n = 245, I. frontalis n = 12, Hae. punctata n = 2, Hy. marginatum n = 2, D. marginatus n = 1), of which 250 (96%) were at the stage of a nymph and 9 at the stage of a larva (3%). Only one imago of I. frontalis and two imagoes of Hy. marginatum were found. The overall mean intensity and mean abundance of infestations were 2.81 and 0.62, respectively. The highest overall intensity of tick infestation was recorded at the sampling site of the Yagorlyk Reserve (Table 3 and Table 4).

3.2. Detection of Pathogen DNA in Collected Ticks and Coinfections

A total of 33% (86/262) (Table 5) of ticks collected from birds were associated with a positive result for one or more pathogens: 15.2% (40/262) of the ticks contained DNA of Borrelia spp., 7.6% (20/262) of rickettsiae, 6.9% (18/262) of the ticks were positive for DNA of A. phagocytophilum, 1.5% (4/262) for N. mikurensis, 1.5% (4/262) for B. microti and 1.5% (4/262) for B. miyamotoi. Half of the ticks (n = 129) were tested for the presence of C. burnetii, but no positive samples were recorded.
The 86 positive cases included 7 cases with co-detection (Table 6) of DNA of two pathogens. All pathogens were found in the preimaginal stages of I. ricinus with the exception of R. slovaca, which was found in a nymph of Ixodes frontalis.
In detail, Borrelia spp. DNA was detected in 15.2% (40/262) of the ticks. Four genospecies were identified by BLAST analysis of the amplified 198 bp fragment of the 5S-23S rDNA intergenic spacer region (IGS). B. garinii was most frequently identified with 100% sequence identity with previously deposited sequences (AY772205, GQ387030.1, JX909912.1, KU291355.1, KJ577538.1). B. garinii was found in I. ricinus preimaginal stages, collected from 25 birds comprising 16 blackbirds, 6 song thrushes and 3 common starlings. Both B. lusitaniae (n = 2) and B. valaisiana (n = 2) showed 99% identity with the deposited sequences HG798781.1 and CP009117.1, respectively. Those borreliae were found in I. ricinus nymphs collected from four blackbirds. B. miyamotoi (n = 4) sequences also reached 99% identity with the previously deposited sequences FJ874925.1 and CP010308.1. In 7.2% (19/262) of the ticks, rickettsial DNA was detected. The affected ticks were collected from common blackbirds and song thrushes. The DNA of rickettsial strains found in eight blackbirds (comprising fourteen I. ricinus nymphs) and two song thrushes (two I. ricinus nymphs and two I. ricinus larvae) showed 100% identity with R. monacensis (LN794217.1, AF141906.1, AF140706.1). The sequence from one tick sample collected from a blackbird (I. ricinus nymph) was 99% identical with R. helvetica (KP866150.1, KU310588.1), and another sequence from a Rickettsia-positive I. frontalis nymph collected from a song thrush was 100% homologous with a fragment of the full-genome sequence of the R. slovaca strain D-CWPP (GenBank accession no. CP003375). Babesia spp. DNA was demonstrated in four I. ricinus nymphs obtained from three blackbirds. Amplicons of the 452 bp fragment of the 18S rRNA gene were sequenced and showed 100% identity with deposited B. microti sequences (JQ886034.1 JQ886035.1 JQ886058.1). A. phagocytophilum DNA was detected in 28 I. ricinus nymphs collected from 14 birds comprising 8 blackbirds, 2 song thrushes, 3 common starlings and 1 European robin. Four sequences obtained from nested PCR were identical and showed 99% identity with previously deposited sequences (JX173651.1, JN181075.1, JN181063.1, HQ629911.1, AF136712.1). N. mikurensis DNA was amplified by real-time PCR from four I. ricinus nymphs collected from four blackbirds.
The overall level of co-detections based on the assessment of the 262 ticks was 2.7%. Ginsberg’s coefficient for co-infections (Ic) was +4.58 (p = 0.05). For all included settings, the Ic was positive (Table 6). Only in two territories (Prutul de jos, Badragii vechi) were there no cases of co-detections. Kendall’s correlation coefficient (R = 0.4, n = 262, p < 0.1) indicated that the total number of ticks was positively correlated with the number of B. garinii (as pathogen I) and Rickettsia spp. or A. phagocytophylum (as pathogen II) co-infected ticks. Most of the co-detections were identified at the study site of the Yagorlyk Reserve.

4. Discussion

The study was performed to assess the quantitative dimension of pathogens found in ticks collected from migratory birds in Republic of Moldova. Birds can serve as carriers of pathogens between countries or even continents by hosting ticks infected by diverse pathogenic agents. As migratory passerines usually migrate at high speed, they may easily transfer ticks over mountains and rivers, even seas. Reviews have summarized numerous studies proving the presence of multiple pathogens in ticks collected from migratory birds [47,48,49,50]. In Norway, for example, more than 9000 birds were tested for ticks with an infestation rate of 7.5% [22]. An extrapolation of these results suggests that millions of ticks are brought to Scandinavia annually by migrating birds with uncertain consequences for humans and animals. In most recent studies, however, only a small number of birds caught were infested with ticks, comprising 9% in Sweden [51], 8% in the UK [52] and 4% in Germany [53], with an average of two ticks per bird. The result of the present study with an infestation rate of 14.5% can be explained by the fact that when catching birds, nets were set on the preferred tracks of blackbirds.
As shown above, Turdus merula and T. philomelos were the species with the highest infestation rate. These species are ground feeders, which greatly increases their contact with ticks. In contrast, most species of birds collected during the study were not infested by ticks. The majority of these numerous birds (Coccothraustes coccothraustes, Fringilla coelebs, Carduelis chloris) comprised non-ground feeder species. So, it is likely that feeding preference is a major factor affecting the frequency of tick infestation on birds. This hypothesis is partially confirmed by a recently published study; however, the phenomenon seems to largely depend on the tick species [53]. The variability of the environmental conditions of Moldova is associated with the presence of passerine birds in different seasonal periods. The wide species spectrum and the high number of birds cause a high probability of the introduction of pathogens, which are brought by the ticks feeding on the birds, and thus, of the formation of secondary natural foci.
In this study, five tick species parasitizing on birds were collected. Four of these are endemic in the Republic of Moldova, but Hy. marginatum has not been reported in Moldova since the 1970s. Fifty years ago, Hy. marginatum were numerous in Moldova but could not reproduce in the environment due to harsh winters. They parasitized on cattle and survived the winters in barns [54]. Presumably, they arrived in Moldova in the 1960s from Bulgaria along with cattle. In the present study, Hy. marginatum were collected from Acrocephalus arundinaceus birds in April at the southern point of the country (reserve Prutul de Jos). A. arundinaceus is considered a long-distance migrant. Both specimens of Hy. marginatum collected from birds were male. Females of this species are less likely to be attached to a bird for 5–7 migratory days because females are engorged faster and can reach a bigger size. This can cause physical discomfort for birds, especially in a case of multiple ticks parasitizing on a single bird. Additionally, in a case of multiple parasitism and depending on the type of bird, the loss of blood can lead to physical weakening, which slows migration down, as suggested by Møller and Erritzøe’s [55]. Hy. marginatum serve as vectors for pathogens and can transmit Crimean hemorrhagic fever virus, which was not in the focus of this study. In case of an increase in the average annual temperature, an increase in aridity and mild winters, Hy. marginatum might become resident in the territory of the Republic of Moldova again. Therefore, the detection of these ticks on the territory of the Republic of Moldova indicates a need for further research and monitoring activities.
In total, from the beginning of the 1950s of the 20th century to the present time, 23 species of ixodids have been registered in Moldova. Of these, seven species were collected from birds, which included I. ricinus, I. lividus, I. frontalis, I. crenulatus, Haemaphysalis punctata, Hae. caucasica and Hae. concinna. [25,26,56]. Thereby, Hae. caucasica and Hae. concinna were collected in only a few incidents; I. lividus is a highly specialized parasite of Riparia riparia in the Republic of Moldova; I. crenulatus was found parasitizing only on Oenanthe oenanthe and on pigeons. I. frontalis was mainly found on birds of the Turdidae family, but in very small amounts, i.e., 10 infected birds with I. frontalis among 900 surveyed ones in 1985 (1.1%). This almost coincides with the results of the present study, in which 6 birds out of 640 (0.94%) were infested with I. frontalis. In the present study, a case of finding D. marginatus nymph on Dendrocopos syriacus was registered. Since Dendrocopos syriacus is not a ground feeder, and D. marginatus is not ornithophilic ectoparasite, we consider this case to be a rare casuistry and a coincidence.
Focusing on pathogen detection rates within the assessed ticks, in one-third of the ticks, the DNA of one or more pathogens was found. This level of detection is twice as high as the rate recorded in ticks collected from vegetation in the same area [57]. In particular, the detection rate of ticks with DNA of the pathogen A. phagocytophilum was found to be high in Moldova, at 7.2%, which is slightly higher than the average in ticks collected from vegetation in neighboring Ukraine, for which a detection rate of 5.2% has been reported [29]. The prevalence of rickettsiae and borreliae was found to be similar as previously recorded for ticks collected from vegetation [57] and was 7.6% and 15.3%, respectively. The prevalence of R. monacensis was significantly higher than of R. helvetica, which is in contrast to a previous assessment in northwestern Russia [24]. In this study, the presence of B. miyamotoi was first described in ticks from Republic of Moldova.
The seasonal distribution of different groups of pathogenic microorganisms varied greatly. Most ticks with the DNA of A. phagocytophilum were collected in the spring (90% of cases), while Borrelia spp.-infected nymphs were more often found in the fall (75% of cases). Rickettsia-positive ticks were detected at all times of the year, with the exception of winter.

5. Conclusions

The study has shown that birds migrating through Moldova carry ticks infected with a high diversity of pathogens. Further, this is the first record on the occurrence of B. miyamotoi in the Republic of Moldova and the first regional record of collecting Hy. marginatum from migratory birds. For the Republic of Moldova, this is the first large-scale long-term study of ticks collected from birds; this study is filling the gap in knowledge about the circulation of tick-borne pathogens in the wild for a given region. The data obtained are of interest to the Public Health Centers as contributing to the predictions of the epidemiological situation.

Author Contributions

Conceptualization, A.M. (Alexandru Movila) and S.P.; methodology, A.M. (Alexandr Morozov), C.S., A.T. and A.M. (Alexandru Movila); software, A.M. (Alexandr Morozov); collecting material, A.M. (Alexandr Morozov), A.T. and A.P.; validation, I.T., A.M. (Alexandru Movila) and S.P.; formal analysis, A.M. (Alexandr Morozov); investigation, A.M. (Alexandr Morozov); resources, C.S., S.P. and I.T.; data curation, A.M. (Alexandru Movila); writing—original draft preparation, A.M. (Alexandr Morozov); writing—review and editing, S.P., C.S. and H.F.; visualization, A.M. (Alexandr Morozov); supervision, A.M. (Alexandru Movila) and S.P.; project administration, I.T.; funding acquisition, S.P. and I.T. All authors have read and agreed to the published version of the manuscript.

Funding

Cooperation has been established thanks to a DAAD grant. Funding of the research was supported by national projects No. 20.80009.7007.12 and No. 15.817.02.12F. The article publication charges of this article were funded by the Open Access Fund of the Leibniz Association. The sponsors did not have any role in the collection, analysis or interpretation of data, in the writing of the report, or in the decision to submit the article for publication.

Institutional Review Board Statement

The animal study protocol was approved by the Review Board of Center of Bioethics of Iasi University of Life Sciences (protocol code 7766; 11 May 2022).

Data Availability Statement

All relevant data are provided in the manuscript. Raw data can be made available on reasonable request.

Acknowledgments

We thank Alexandra Veit for her excellent technical assistance. We thank Andrea Vanegas, Daniela Pothman and Julian Ehlers for proofreading the manuscript. We thank Christian Keller and Veaceslav Purcic for guidance. We thank Klaus Henning for help with Coxiella burnetii testing and Ivanova Anastasia for help with bird collection.

Conflicts of Interest

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

Appendix A

Table A1. List of primers and further PCR details used to screen ticks collected from birds in Moldova, 2012–2015.
Table A1. List of primers and further PCR details used to screen ticks collected from birds in Moldova, 2012–2015.
OrganismGene Primers 5′ → 3′ControlsBpReference
Borrelia spp. 5S-23 spacer rrf
rrl
CtgcgAGTTCGCGGGAGAG
AAgCTCCTAGGCATTCACCATA
Four negative controls were used: one containing water and PCR mix; second with water PCR mix and primers; and last two with positive DNA and PCR mix but without primers. As amplification control, we used B. afzelii DNA.198Richter [35]
Rickettsia spp.gltA region CS1d
CS2d
ATGACCAATGAAAATAATAAT
CTTATACTCTCTATgTACA
Four negative controls were used, two containing water and PCR mix, two with DNA and PCR mix but without primers, As positive controls, plasmids with concentration from 104 to 1010 for Rickettsia spp. were used.1254Mediannikov [40]
OMPB 120-M59
120-807
CCgCAGGGTTGGTAACTGC
CCTTTTAGATTACCGCCTAA
764Roux and Raoult [39]
gltA region CS-F
CS-R
CS-P
TCGCAAATGTTCACGGTACTTT
TCGTGCATTTCTTTCCATTGTG
FAM-TGCAATAGCAAGAACCGTAGGCTGGATG-BHQ
74Stenos [38]
Borrelia RFglpQ RF23sF
RF23sR
RF23sP
CGGTACTCTTCACTATCGGTAGCTT TGGAAAAGTTAGCCARAGAAGG
6FAM-TCCCGTCCTAC TTAGGAACATC-TAMRA
As negative control, molecular grade water and a positive control DNA of B. miyamotoi isolated from I. ricinus, confirmed by sequencing. Subramanian [36]
Flagelin pr. B flaB-BO
R1 flaB-BOR2
TAATACGTCAGCCATAAATGC
gCTCTTTGATCAGTTATCATTdC
750Assous
[37]
Anaplasma phagocytophilumMRP2 ApMsp2f
ApMsp2r
ApMSP2p-HEX
TGGAAGGTAGTGTTGGTTATGGTATT
TTGGTCTTGAAGCGCTCGTA
TGGTGCCAGGGTTGAGCTTGAGATTG
Two negative controls were used (one with clear water; second with water, PCR mix and primers). For positive controls, we used DNA samples of A. phagocytophilum earlier confirmed by sequencing.77Courtney [41]
16S rRNA (nested)1st amp
ge3a
ge10r
2nd amp.
ge9f
ge2
CACATGCAAGTCGAACGGATTATTC
TTCCGTTAAGAAGGATCTAATCTCC
AACGGATTATTCTTTATAGCTTGCT GGCAGTATTAAAAGCAGCTCCAGG
932
546
Massung and Slater [42]
Babesia spp. 18S rRNA
part
BJ1
BN2
GTCTTGTAATTGGAATGATGG
TAGTTTATGGTTAGGACTACG
Two negative controls were used (one with clear water; second with water, PCR mix and primers). For positive controls, we used samples of B. microti confirmed by sequencing.424Casati [43]
Neoehrlichia mikurensisGroEL NMikGroEL F2
NMikGroEL rev1
NMikGroEL rev2
probe NMikGroEL-P2a
CCTTGAAAATATAGCAAGATCAGGTAG
CCACCACGTAACTTATTTAGTACTAAAG
FAM-CCTCTACTAATTATTGCTGAAGATGTAGAAGGTGAAGC-BHQ1-
As negative control—molecular grade water. As positive control—DNA of N. mikurensis isolated from I. ricinus, confirmed by sequencing.968Silaghi
[44]
Coxiella burnetiiicd forward, icd-439F
reverse, icd-514R
icd-464TM
CGTTATTTTACGGGTGTGCCA
CAGAATTTTCGCGGAAAATCA
FAM-CATATTCACCTTTTCAGGCGTTTTGACCGT-TAMRA-T
Four negative controls were used, two containing water and PCR mix, two with DNA and PCR mix but without primers, As positive controls, IS1111 plasmids with concentration from 100 to 105 were used.76Klee
[45]

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Figure 1. Visualization of the collection sites.
Figure 1. Visualization of the collection sites.
Microorganisms 10 01111 g001
Table 1. Collection points during the survey period 2012–2015.
Table 1. Collection points during the survey period 2012–2015.
Collecting PointPlace of the Bird CollectionGeographical CoordinatesCollection Period (Month, Year)
Urban areas1Chisinau Botanical Garden46°58′23.0″ N 28°53′08.7″ EIII–XI 2012–2015
2Chisinau, Park Riscani47°02′53.4″ N 28°52′32.4″ EIII–XI 2012–2015
3Durlesti, outskirts of the city47°01′40.4″ N 28°44′36.9″ EIV–VI 2012–2014
Agrocenoses4Badragii Vechi village48°01′54.4″ N 27°06′40.3″ EVI 2012,
VI 2014
5Badragii Vechi village48°01′51.4″ N 27°06′38.8″ EVI 2012,
VI 2014
6Baltsata village47°02′53.9″ N 29°02′28.1″ EV–VI 2014
Reserve zones7Reserve Yagorlyk47°23′03.2″ N 29°10′12.0″ EIII–VI 2012–2015,
IX–XI 2012–2015
8Reserve Yagorlyk47°23′01.2″ N 29°10′42.3″ EIII–VI 2012–2015,
IX–XI 2012–2015
9Reserve Yagorlyk47°23′07.1″ N 29°10′28.3" EIII–VI 2012–2015,
IX–XI 2012–2015
10Reserve Prutul de Jos45°35′30.6″ N 28°09′37.9″ EV 2014,
V 2015
11Reserve Prutul de Jos45°35′25.0″ N 28°09′35.0″ EIX 2015
12Reserve Padurea Domneasca47°36′22.1″ N 27°23′41.0″ EIV 2012,
V 2015
13Reserve Padurea Domneasca47°36′22.1″ N 27°23′41.0″ EX 2012,
IX 2014
14Reserve Plaiul Fagului47°17′40.6″ N 28°01′50.3″ EVI 2014
15Reserve Plaiul Fagului47°18′60.0″ N 28°02′30.8″ EVI 2015
16Reserve Codrii47°03′27.1″ N 28°33′36.7″ EIV–V 2012,
IV–V 2014
17Reserve Codrii47°03′25.7″ N 28°33′37.3″ EIX–XI 2014,
V 2015
Table 2. Birds collected during the study period.
Table 2. Birds collected during the study period.
Collection PlacesIagorîcPlaiul FaguluiCodriiPrutul de JosPădurea DomneascaMun. ChișinăuBădragii VechiTotal
Passer domesticus157459201878
Turdus merula42463215678
Sturnus vulgaris95674152066
Erithacus rubecula2269435352
Turdus philomelos2163579152
Parus major13112321344
Coccothraustes coccothraustes13612112338
Carduelis chloris1133221123
Fringilla coelebs654604126
Luscinia luscinia0102013016
Lanius collurio2100101014
Passer montanus520023214
Dendrocopos syriacus601004112
Garrulus glandarius402012110
Sylvia atricapilla310042010
Acrocephalus arundinaceus00080008
Cyanistes caeruleus60020008
Lanius minor20101138
Oriolus oriolus01001248
Pica pica20000608
Dendrocopos major30200117
Emberiza citronella20021106
Picus canus20001306
Prunella modularis01221006
Sitta europaea23100006
Anthus trivialis20000204
Hirundo rustica00040004
Phoenicurs ochruros20000204
Accipiter nisus30000003
Emberiza schoeniclus10020003
Turdus pilaris30000003
Motacilla alba10000012
Accipiter gentilis20100014
Alcedo atthis00020002
Corvus frugilegus00000202
Carduelis spinus10000001
Dendrocopos minor10000001
Jynx torquilla10000001
Phoenicurus phoenicurus00000101
Phylloscopus trochilus10000001
Total2095347604414780640
Table 3. Distribution of birds and ticks by collection site.
Table 3. Distribution of birds and ticks by collection site.
YagorlykChisinau and suburbsPlauil FaguluiCodriiPrutul de JosPadurea DomneascaVilages
(B. vechi and Baltsata)
Total
Birds examined2091475347604480640
Infested birds402514740393
Ticks collected1654219211005262
Ticks in which DNA of at least one of the pathogenic agents was found39289720186
Table 4. Species composition and tick infestation of birds caught during the study in Moldova. Mean intensity = number of ticks/number of infested birds. Mean abundance = number of ticks/number of birds. L = larva. N = nymph. I = imago.
Table 4. Species composition and tick infestation of birds caught during the study in Moldova. Mean intensity = number of ticks/number of infested birds. Mean abundance = number of ticks/number of birds. L = larva. N = nymph. I = imago.
Bird Species
(Collected/Infested)
Number of Birds Infested with Ticks (In Brackets—Number of Collected Ticks)Prevalence (%)Ticks CollectedMean IntensityMean Abundance
I. ricinusI. frontalisHae. punctataD. marginatusHy. marginatum
LNNI♀LNNI ♂
Turdus merula
78/46
44
(164)
4
(6)
2
(2)
2
(2)
591743.782.23
Turdus philomelos
52/10
4
(4)
8
(22)
2
(3)
1
(1)
18323.20.59
Sturnus vulgaris
66/10
10
(16)
15161.60.26
Luscinia luscinia
16/8
8
(8)
50810.5
Erithacus rubecula
52/4
4
(4)
8410.07
Parus major
44/2
2
(3)
2
(9)
51260.27
Anthus trivialis
4/2
2
(4)
50421
Corvus frugilegus
2/2
2
(2)
100211
Passer domesticus
78/4
4
(4)
5410.05
Sylvia atricapilla
10/2
2
(2)
20210.2
Dendrocopos syriacus
12/1
1
(1)
1
(1)
8.4110.08
Acrocephalus arundinaceus
8/2
2
(2)
2
(2)
25210.25
Total
422/93
22.12622.810.62
Table 5. Pathogens’ DNA in ticks collected from birds in Republic of Moldova. N = nymph. L = larva.
Table 5. Pathogens’ DNA in ticks collected from birds in Republic of Moldova. N = nymph. L = larva.
Species of TicksPos/No. TotalThe Number of Cases of DNA Detection of the Pathogenic Agents
B. microtiN. mikurensisA. phagocytophilumB. miyamotoiR. monacensisR. slovacaR.helveticaB. gariniiB.valaisianaB. lusitaniae
I. ricinus N82/2394416419 23522
I. ricinus L3/7 2 1 1
I. frontalis N1/9 1
Table 6. Co-detection rates in ticks collected from birds in Moldova.
Table 6. Co-detection rates in ticks collected from birds in Moldova.
Tick SpeciesSiteNumber
of Ticks Examined
Number of Ticks with
Co-Detection (%)
Co-Detection IndexCo-Detection TypeBird Species
I. ricinusIagorlîc1653 (1.8)+1.37 *B.g./R.mT. merula
B.g./R.mT. philomelos
B.g./A.pT. merula
mun. Chișinău422 (4.7)+2.5 *B.g./R.mT. merula
B.g./A.pT. merula
Plaiul fagului191 (5.3)+12.0R.m./A.pT. merula
Codrii211 (4.7)+17.8B.g./R.mT. merula
Prutul de jos100
Badragii vechi50
Total 2627 (2.67)+4.58 *
B.g.—B. garinii; A.p.—A. phagocytophylum; R.m.—R. monacensis; * Types of co-detection with statistical significance (p < 0.05).
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MDPI and ACS Style

Morozov, A.; Tischenkov, A.; Silaghi, C.; Proka, A.; Toderas, I.; Movila, A.; Frickmann, H.; Poppert, S. Prevalence of Bacterial and Protozoan Pathogens in Ticks Collected from Birds in the Republic of Moldova. Microorganisms 2022, 10, 1111. https://doi.org/10.3390/microorganisms10061111

AMA Style

Morozov A, Tischenkov A, Silaghi C, Proka A, Toderas I, Movila A, Frickmann H, Poppert S. Prevalence of Bacterial and Protozoan Pathogens in Ticks Collected from Birds in the Republic of Moldova. Microorganisms. 2022; 10(6):1111. https://doi.org/10.3390/microorganisms10061111

Chicago/Turabian Style

Morozov, Alexandr, Alexei Tischenkov, Cornelia Silaghi, Andrei Proka, Ion Toderas, Alexandru Movila, Hagen Frickmann, and Sven Poppert. 2022. "Prevalence of Bacterial and Protozoan Pathogens in Ticks Collected from Birds in the Republic of Moldova" Microorganisms 10, no. 6: 1111. https://doi.org/10.3390/microorganisms10061111

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