Real-time PCR on skin biopsies for super-spreaders' detection in bovine besnoitiosis.


Journal

Parasites & vectors
ISSN: 1756-3305
Titre abrégé: Parasit Vectors
Pays: England
ID NLM: 101462774

Informations de publication

Date de publication:
22 Oct 2020
Historique:
received: 23 06 2020
accepted: 14 10 2020
entrez: 23 10 2020
pubmed: 24 10 2020
medline: 4 6 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 33092627
doi: 10.1186/s13071-020-04405-7
pii: 10.1186/s13071-020-04405-7
pmc: PMC7579852
doi:

Substances chimiques

Antibodies, Protozoan 0
DNA, Protozoan 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

529

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Auteurs

Christelle Grisez (C)

UMR INRA/DGER 1225, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 03, France. christelle.grisez@envt.fr.

Leslie Bottari (L)

UMR INRA/DGER 1225, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 03, France.

Françoise Prévot (F)

UMR INRA/DGER 1225, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 03, France.

Jean-Pierre Alzieu (JP)

LVD 09, Laboratoire Départemental de l'Ariège, rue de Las Escoumes, 09008, Foix CDIS, France.

Emmanuel Liénard (E)

UMR INTHERES/DGER, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 3, France.

Fabien Corbière (F)

UMR INRA/DGER 1225, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 03, France.

Marie Rameil (M)

LVD 09, Laboratoire Départemental de l'Ariège, rue de Las Escoumes, 09008, Foix CDIS, France.

Xavier Desclaux (X)

LVD 09, Laboratoire Départemental de l'Ariège, rue de Las Escoumes, 09008, Foix CDIS, France.

Christophe Lacz (C)

FRGDS Occitanie, 96, rue des agriculteurs - BP 102, 81003, Albi Cedex, France.

Christian Boulon (C)

GDS Ardèche, 4 Avenue de l'Europe Unie, 07000, Privas, France.

Julie Petermann (J)

GDMA Indre, 4 Rue Robert Mallet-Stevens, 36000, Châteauroux, France.

Jeanne Le Mével (J)

UMR INRA/DGER 1225, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 03, France.

Carine Vilardell (C)

GDS des Alpes de Haute Provence, 66 Boulevard Gassendi, 04000, Digne-les-Bains, France.

Philippe Jacquiet (P)

UMR INRA/DGER 1225, Ecole Nationale Vétérinaire de Toulouse, 23 chemin des Capelles, 31076, Toulouse Cedex 03, France.

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Classifications MeSH