| Literature DB >> 32223884 |
Lijun Jia1, Shaowei Zhao1, Suzhu Xie1, Hang Li1, Hao Wang1, Shuang Zhang1.
Abstract
Bovine Theileria are tick-borne protozoan parasites that invade bovine erythrocytes and lymphocytes. Three main bovine Theileria species have been identified in China: T. orientalis, T. sinensis, and T. annulata. To examine the prevalence of bovine theileriosis in Yanbian, a total of 584 bovine blood samples were collected from five localities from 2017 to 2019 and analyzed by PCR. Six pairs of oligonucleotide primers directed against the 18S rRNA gene of Theileria spp., Tams-1 gene of T. annulata, MPSP gene of T. orientalis, and T. sinensis, were used to detect these parasites. A sequence analysis of the amplified genes confirmed that the Theileria species were T. orientalis and T. sinensis, without T. annulata. The overall prevalence of Theileria in cattle was 42.81% (250/584). Out of the 584 samples, 159 (27.23%) and 157 (26.88%) were positive for T. sinensis and T. orientalis, respectively, and the mixed infection rate was 11.30% (66/584). The total prevalence of bovine Theileria species in Helong, Hunchun, Longjing, Yanji, and Dunhua was 66.28%, 49.68%, 23.81%, 28.15%, and 0%, respectively. These results provide epidemiological data for the prevention and control of bovine Theileria species in Yanbian, China. © L. Jia et al., published by EDP Sciences, 2020.Entities:
Keywords: Epidemiology; Theileria orientalis; Theileria sinensis; Yanbian
Mesh:
Substances:
Year: 2020 PMID: 32223884 PMCID: PMC7104619 DOI: 10.1051/parasite/2020017
Source DB: PubMed Journal: Parasite ISSN: 1252-607X Impact factor: 3.000
Primer sequences
| Pathogen | Target gene | Assay | Oligonucleotide sequences (5′ → 3′) | Product size (bp) | Annealing temperature (°C) | Reference |
|---|---|---|---|---|---|---|
| 18S rRNA | PCR | GAAACGGCTACCACATCT | 778 | 55 | Cao et al. [ | |
| AGTTTCCCCGTGTTGAGT | ||||||
| nPCR | TTAAACCTCTTCCAGAGT | 581 | 55 | |||
| TCAGCCTTGCGACCATAC | ||||||
| Tams-1 | PCR | GTAACCTTTAAAAACGT | 721 | 55 | Martin-Sanchez et al. [ | |
| GTTACGAACATGGGTTT | ||||||
| nPCR | CACCTCAAAACATACCCC | 453 | 60 | |||
| TGACCCACTTATCGTCC | ||||||
| MPSP | PCR | CTTTGCCTAGGATACTTCCT | 776 | 58 | Ota et al. [ | |
| ACGGCAAGTGGTGAGAACT | ||||||
| MPSP | PCR | CACTGCTATGTTGTCCAAGAGATATT | 887 | 56 | Liu et al. [ | |
| AATGCGCCTAAAGATAGTAGAAAAC |
Figure 2Phylogenetic trees based on the (A) 18SrRNA and (B) MPSP sequences of bovine Theileria. The ML tree was derived from a Tamura 3-parameter model using MEGA7, and Bayesian Inference by Mrbayes3.2 with the GTR + G + I model. ML bootstrap and BI posterior probabilities values are shown at the nodes in the order ML/BI. Bootstrap values <50 are not reported. Posterior probabilities <0.7 are not reported. The newly generated sequences in the present study are shown in bold.
Figure 1(A) and (B) Theileria spp. nested PCR, M: DL 2 000 DNA Marker, lain1: Positive control, lain2-13: Sample products, lain14: Negative control. (C) and (D) T. orientalis PCR and T. sinensis PCR, M: DL 2000 DNA Marker, lain1-13: PCR products of the target gene, lain14: Negative control.
The single and mixed infection rates of Theileria spp. in cattle in Jilin, China.
| Helong ( | Hunchun ( | Longjing ( | Yanji ( | Dunhua ( | Total ( | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No. of positive | 95% CI | No. of positive | 95% CI | No. of positive | 95% CI | No. of positive | 95% CI | No. of positive | 95% CI | No. of positive | 95% CI | |||
| Single infection | ||||||||||||||
| 42 | 24.42 (18.60–31.35) | 31 | 19.75 (14.27–26.66) | 4 | 4.76 (1.87–11.61) | 16 | 11.85 (7.43–18.39) | 0 | 0 (0–9.64) | 93 | 15.92 (13.18-19.11) | |||
| 44 | 25.58 (19.64–32.59) | 25 | 15.92 (11.02–22.45) | 8 | 9.52 (4.91–17.68) | 14 | 10.37 (6.28–16.65) | 0 | 0 (0–9.64) | 91 | 15.58 (12.87–18.75) | |||
| Mixed infection | ||||||||||||||
| 28 | 16.28 (11.51–22.52) | 22 | 14.01 (9.44–20.30) | 8 | 9.52 (4.91–17.68) | 8 | 5.93 (3.03–11.26) | 0 | 0 (0–9.64) | 66 | 11.30 (8.98–14.13) | |||
| Total positive | 114 | 66.28 (58.93–72.92) | 78 | 49.68 (41.96–57.42) | 20 | 23.81 (15.98–33.93) | 38 | 28.15 (21.25–36.26) | 0 | 0 (0–9.64) | 250 | 42.81 (38.86–46.86) | ||
| Negative samples | 58 | 33.72 (27.08–41.07) | 79 | 50.32 (42.58–58.04) | 64 | 76.19 (66.07–84.02) | 97 | 71.85 (63.74–78.75) | 36 | 100 (90.36-100) | 334 | 57.19 (53.14–61.14) | ||