Author: Grisez, Christelle; Bottari, Leslie; Prévot, Françoise; Alzieu, Jean-Pierre; Liénard, Emmanuel; Corbière, Fabien; Rameil, Marie; Desclaux, Xavier; Lacz, Christophe; Boulon, Christian; Petermann, Julie; Le Mével, Jeanne; Vilardell, Carine; Jacquiet, Philippe
Title: Real-time PCR on skin biopsies for super-spreaders’ detection in bovine besnoitiosis Cord-id: 6x4c0qza Document date: 2020_10_22
ID: 6x4c0qza
Snippet: BACKGROUND: Bovine besnoitiosis, an emerging disease in Europe that can be transmitted by vectors, is caused by the apicomplexan Besnoitia besnoiti. Bovine besnoitiosis is difficult to control due to the complexity of its diagnosis in the acute stage of the disease, poor treatment success and chronically asymptomatic cattle acting as parasite reservoirs. When serological prevalence is low, detection and specific culling of seropositive cattle is feasible; however, economic considerations preclud
Document: BACKGROUND: Bovine besnoitiosis, an emerging disease in Europe that can be transmitted by vectors, is caused by the apicomplexan Besnoitia besnoiti. Bovine besnoitiosis is difficult to control due to the complexity of its diagnosis in the acute stage of the disease, poor treatment success and chronically asymptomatic cattle acting as parasite reservoirs. When serological prevalence is low, detection and specific culling of seropositive cattle is feasible; however, economic considerations preclude this approach when serological prevalence is high. The aims of this study were to evaluate the accuracy of detection of super-spreaders in highly infected herds and to test their selective elimination as a new control strategy for bovine besnoitiosis. METHODS: Previous real-time PCR analyses performed on skin tissues from 160 asymptomatic animals sampled at slaughterhouses showed that the tail base was the best location to evaluate the dermal parasite DNA load. All seropositive animals (n = 518) from eight dairy or beef cattle farms facing a high serological prevalence of besnoitiosis were sampled at the tail base and their skin sample analysed by real-time PCR. A recommendation of rapid and selective culling of super-spreaders was formulated and provided to the cattle breeders. Subsequent serological monitoring of naïve animals was used to evaluate the interest of this control strategy over time. RESULTS: Among the 518 seropositive animals, a low proportion of individuals (14.5%) showed Cq values below 36, 17.8% had doubtful results (36 < Cq ≤ 40) and 67.8% had negative PCR results. These proportions were grossly similar on the eight farms, regardless of their production type (beef or dairy cattle), size, geographical location or history of besnoitiosis. Within two weeks of the biopsy, the rapid culling of super-spreaders was implemented on only three farms. The numbers of newly infected animals were lower on these farms compared to those where super-spreaders were maintained in the herd. CONCLUSIONS: Real-time PCR analyses performed on skin biopsies of seropositive cattle showed huge individual variabilities in parasite DNA load. The rapid culling of individuals considered as super-spreaders seems to be a new and encouraging strategy for bovine besnoitiosis control. [Image: see text]
Search related documents:
Co phrase search for related documents- accurate information and logistic regression model: 1
- accurate information and low amount: 1
- accurate information and low number: 1
- activity period and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9
- activity period and logistic regression model: 1
- activity period and low amount: 1, 2
- activity period and low number: 1
- acute case and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
- acute case and logistic regression model: 1, 2
- acute case and low number: 1, 2, 3, 4, 5
- acute stage and logistic regression: 1, 2, 3, 4, 5
- acute stage and logistic regression model: 1
- acute stage and low number: 1, 2
- live animal and low respiratory tract: 1, 2
- location sample and logistic regression: 1, 2
- logistic regression and long persistence: 1, 2, 3, 4, 5
- logistic regression and low amount: 1
- logistic regression and low number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- logistic regression and low respiratory tract: 1, 2
Co phrase search for related documents, hyperlinks ordered by date