| Literature DB >> 34998440 |
Barbara Willi1, Marina L Meli2,3, Chiara Cafarelli2,3, Urs O Gilli4, Anja Kipar5, Alina Hubbuch6, Barbara Riond2, Judith Howard7, Daniel Schaarschmidt8, Walter Regli9, Regina Hofmann-Lehmann2,3.
Abstract
BACKGROUND: Cytauxzoon spp. infection is believed to be a newly emerging tick-borne disease in felids in Europe, with three species of the haemoparasite having recently been differentiated in wild felids. In Switzerland, rare infections have been documented in domestic cats in the west and northwest of the country, the first of which was in 2014. The aims of the present study were: (i) to characterize a Cytauxzoon spp. hotspot in domestic cats in central Switzerland; (ii) to elucidate the geographic distribution of Cytauxzoon spp. in domestic cats in Switzerland; (iii) to assess suspected high-risk populations, such as stray and anaemic cats; and (iv) to investigate the newly emerging nature of the infection. Cytauxzoon spp. were further differentiated using mitochondrial gene sequencing.Entities:
Keywords: 18S rRNA; Cytauxzoon felis; Cytauxzoon sp.; Cytauxzoon spp.; Domestic cats; European wildcat; Phylogenetic analysis; Prevalence; Stray cats; Wild felids
Mesh:
Year: 2022 PMID: 34998440 PMCID: PMC8742954 DOI: 10.1186/s13071-021-05111-8
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Characteristics of the samples from domestic cats and European wildcats included in the study
| Study | Country | Species | Lifestyle/origin | Year(s) of sample collection | Region of origin (cantona or department) | No. of animals | Sex, | Purebred, | Reference | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male intact | Male castrated | Female intact | Female castrated | Not known | Yes | No | Not known | ||||||||
| A | Switzerland | Domestic cats | Privately owned | 2019 | AG | 13 | 0 | 12 (92.3%) | 0 | 1 (7.7%) | 0 | 0 | 13 (100%) | 0 | This study |
| B | Switzerland | Domestic cats | Presented to veterinarians | 2013–2016 | All 26 cantons | 881 | 56 (6.4%) | 308 (35.0%) | 70 (7.9%) | 207 (23.5%) | 240 (27.2%) | 160 (18.2%) | 479 (54.4%) | 242 (27.5%) | [ |
| C | Switzerland | Domestic cats | Presented to veterinarians | 2019–2021 | AG, BE, BL, GL GR, LU, NW, OW, SG, SH, SO, SZ, TG, VD, ZG, ZH | 501 | 0 | 0 | 0 | 0 | 501 | 0 | 0 | 501 | This study |
| C | Switzerland | Domestic cats | Stray | 2014 | JU | 91 | 37 (40.7%) | 0 | 48 (52.7%) | 0 | 6 (6.6%) | 0 | 91 (100%) | 0 | [ |
| D | Switzerland | Domestic cats | Presented to veterinarians | 2003 | AG, BE, BL, FR, JU, LU, NE, SH, SO, TG, TI, VD, ZH | 65 | 2 (3.1%) | 32 (49.2%) | 1 (1.5%) | 24 (36.9%) | 6 (9.2%) | 47 (72.3%) | 12 (18.5%) | 6 (9.2%) | [ |
| D | France | European wildcats | Free ranging | 1995–1996 | Haute-Marne, Marne, Vosges, Aube, Meurthe-et-Moselle | 34 | 19 (55.9%) | 0 | 15 (44.1%) | 0 | 0 | NA | NA | NA | [ |
NA, Not applicable
aAG, Aargau; BE, Bern; BL, Basel-Land; FR, Fribourg; GL, Glarus; GR, Grison; JU, Jura; LU, Lucerne; NE, Neuchâtel; NW, Nidwalden; OW, Obwalden; SG: St. Gallen; SH, Schaffhausen; SO, Solothurn; SZ, Schwyz; TG, Thurgau; TI, Ticino; VD, Vaud; ZG, Zug; ZH, Zurich
Retrovirus status and Cytauxzoon spp. PCR test results in domestic cats and European wildcats in studies A–D
| Study | Samples, year of collection | Number of samples | FeLV status, | FIV antibody-positivea, | PCR-positive test results for | ||
|---|---|---|---|---|---|---|---|
| Provirus positive | p27 antigen positive | ||||||
| A | Domestic cats, 2019 | 13 | 1 (7.7%; 0–22.2%) | ND | 4 (30.8%; 5.7–55.9%) | 6 (46.1%; 19.1–73.3%) | |
| B | Domestic cats, 2013–2016 | 881 | 47 (5.3%; 3.9–6.8%) | 18 (2.0%; 1.2–3.2%) | ND | 1 (0.1%; 0–0.3%) | |
| C | Domestic cats, 2019–2021 | 501 | ND | ND | ND | 1 (0.2%; 0–0.6%) | |
| C | Stray domestic cats, 2014 | 91 | 7 (7.7%; 2.2–13.2%) | ND | ND | 8 (8.8%; 3.0–14.6%) | |
| D | Domestic cats, 2003 | 65 | ND | 3 (6.4%; 0–13.4%)c | 2 (4.5%; 0–10.7%)d | 1 (1.5%; 0–4.5%) | |
| D | European wildcats, 1995–1996 | 34 | ND | 26 (76.5%; 62.2–90.7%) | 0e | 10 (29.4%; 14.1–44.7%) | |
CI, Confidence interval; ND, not determined
aDetermined by FIV ELISA; positive results confirmed by western blot analysis
bPositive by real-time TaqMan quantitative PCR and/or conventional PCR test results and confirmed by sequencing
cFeLV p27 antigen results were not available in 18 cats
dFIV ELISA results were not available in 21 cats
eFIV antibody results were not available for 3 European wildcats
Fig. 1Map of Switzerland (a) and France (b) showing the geographical distribution of the analysed samples. The geographic origin of the cats from study parts A (pentagons), B (circles), C (rhombs: anaemic cats; squares: stray cats) and D (triangles: domestic cats from 2003; stars: European wildcats from 1995–1995) in Switzerland (a) and France (b) are indicated. The colour of the symbols in a and b indicate PCR-positive (red) and -negative (green) samples. The size of the symbols in a indicates the number of Cytauxzoon spp. PCR-positive or -negative samples per location. For 11 cats from study B and 30 stray cats from study C the place of origin within the canton was unknown; these samples were allocated to the capital city of the corresponding canton
Fig. 2Molecular phylogenetic analysis by maximum likelihood method of the 18S rRNA gene. The evolutionary history was inferred by using the maximum likelihood method based on the Kimura 2-parameter model [54]. The tree with the highest log likelihood (− 4029.57) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches (values < 60% are not shown). Initial tree(s) for the heuristic search were obtained automatically by applying the neighbour-joining 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. Host and country origin of the sequences are indicated. GenBank accession numbers are shown in brackets. Isolates from this study are written in bold font
Fig. 3Molecular phylogenetic analysis by maximum likelihood method of the mitochondrial gene CytB. The evolutionary history was inferred by using the maximum likelihood method based on the Kimura 2-parameter model [54]. The tree with the highest log likelihood (− 5012.83) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches (values < 60% are not shown). Initial tree(s) for the heuristic search were obtained automatically by applying the neighbour-joining and BioNJ algorithms to a matrix of pairwise distances estimated using the 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. Host and country origin of the sequences are indicated. GenBank accession numbers are shown in brackets. Isolates from this study are written in bold font
Fig. 4Molecular phylogenetic analysis by maximum likelihood method of the mitochondrial gene COI. The evolutionary history was inferred by using the maximum likelihood method based on the Kimura 2-parameter model [54]. The tree with the highest log likelihood (− 5109.71) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches (values < 60% are not shown). Initial tree(s) for the heuristic search were obtained automatically by applying the neighbour-joining and BioNJ algorithms to a matrix of pairwise distances estimated using the 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. Host and country origin of the sequences are indicated. GenBank accession numbers are shown in brackets. Isolates from this study are written in bold font