| Literature DB >> 35388041 |
Dorota Dwużnik-Szarek1, Ewa Julia Mierzejewska1, Dorota Kiewra2, Aleksandra Czułowska2, Anna Robak1, Anna Bajer3.
Abstract
Ornate dog tick, Dermacentor reticulatus is an important vector of Babesia canis, and Rickettsia spp. and other pathogens of veterinary and public health interest. The current study is the first to investigate the long-term changes in prevalence of these pathogens in expanding tick populations in Central Europe. Molecular techniques (PCR, sequencing) were applied for the detection of pathogen DNA in adult (n = 2497) and juvenile ticks (1096 larvae and 410 nymphs). DNA of Rickettsia spp. was identified in 35% of adults and 12.6% of juvenile ticks. DNA of B. canis was detected in 3% of adult ticks and only in ticks from the Eastern region (regional prevalence 6%). As previously, no B. canis-positive ticks were found in Western Poland, including ticks from Wrocław area (n = 298). DNA of B. canis was identified in 0.33% of juvenile ticks (in 3 pools of larvae and 2 nymphs) from the Eastern region. In the current study we confirmed high occurrence of R. raoultii in adults ticks from all four zones and relatively high prevalence of B. canis in the Eastern population of D. reticulatus, corresponding well with high incidence of canine babesiosis in this area of Poland. Finally, we confirmed R. raoultii and B. canis infection in all life stages of D. reticulatus ticks.Entities:
Mesh:
Year: 2022 PMID: 35388041 PMCID: PMC8986869 DOI: 10.1038/s41598-022-09419-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Map of endemic areas and expansion zones for adult questing Dermacentor reticulatus ticks (Dwużnik-Szarek et al. 2021) and sites of the collection of juvenile ticks. The map was designed using ArcGIS (ESRI) version 10.8.1 software (institutional licence purchased by the University of Warsaw, Warsaw, Poland). Briefly, each georeferenced location of tick collection (listed in Dwużnik-Szarek et al.[5]) was projected as a point type .shp layer and then used as the raw data for spatial analyses. A radius buffer was calculated for each point, allowing to interpolate a range of occurrence of the tick. The base layer consisted of contour map of Poland: country borders and largest administrative units (voivodeships).
Prevalence of B. canis and R. raoultii in D. reticulatus ticks in four zones.
| Region (no. of ticks) | 95%Cl | 95%Cl | Zones | 95%Cl | 95%Cl | ||||
|---|---|---|---|---|---|---|---|---|---|
| Eastern (1264) | 5.9% (74/1264) | 4.7–7.3 | 35.9% (454/1246) | 33.3–38.6 | Eastern endemic zone (1142) | 6.1% (70/1142) | 4.9–7.6 | 35.7% (408/1142) | 33.0–38.5 |
| Eastern expansion zone (122) | 3.3% (4/122) | 1.1–7.6 | 37.7% (46/122) | 29.5–46.5 | |||||
| Western (1233) | 0 | nc | 33.5% (413/1233) | 30.9–36.2 | Western endemic zone (635) | 0 | nc | 30.7% (195/635) | 27.2–34.4 |
| Western expansion zone (598) | 0 | nc | 36.5% (218/598) | 32.7–40.4 |
Nc not calculated.
Comparison of B. canis prevalence between juvenile and questing adult ticks D. reticulatus in endemic sites.
| Site | Larvae | 95% Cl | Nymphs | 95% Cl | Adults | 95% Cl |
|---|---|---|---|---|---|---|
| Białobrzegi | 0.35% (3/859) | 0.1–0.9 | 0.81% (1/124) | 0.09–3.7 | 1.85% (1/54) | 0.2–8.3 |
| Stoski* | 0% (0/52) | 0 | 0% (0/65) | 0 | 3.28% (8/244) | 1.6–6.1 |
| Urwitałt** | 0% (0/185) | 0 | 0.45% (1/221) | 0.05–2.1 | 5.56% (8/144) | 2.7–10.2 |
| Total | 0.27% (3/1096) | 0.08–0.7 | 0.49% (2/410) | 0.10–0.53 | 3.85% (17/442) | 2.3–5.6 |
*Stoski + Franciszków together for juvenile tick stages.
**Urwitałt + Tałty together for juvenile tick stages.
Figure 2Molecular phylogenetic analysis of a 750 bp fragment of the citrate synthase (gltA) gene of Rickettsia raoultii. The evolutionary history was inferred by using the Maximum Likelihood method and Hasegawa-Kishino-Yano model. The tree with the highest log likelihood (− 1924.77) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.3308)). This analysis involved 58 nucleotide sequences. There were a total of 703 positions in the final dataset.
Figure 3Molecular phylogenetic analysis of cox1 of Babesia spp. (328 bp). The evolutionary history was inferred by using the Maximum Likelihood method and Hasegawa-Kishino-Yano model. The tree with the highest log likelihood (− 1413.72) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. This analysis involved 21 nucleotide sequences. There were a total of 236 positions in the final dataset.