Literature DB >> 26801602

Naturally acquired bovine besnoitiosis: Differential distribution of parasites in the skin of chronically infected cattle.

G Schares1, M C Langenmayer2, M Majzoub-Altweck3, J C Scharr4, A Gentile5, A Maksimov6, S Schares6, F J Conraths6, N S Gollnick4.   

Abstract

Bovine besnoitiosis is caused by Besnoitia besnoiti, an apicomplexan parasite closely related to Toxoplasma gondii and Neospora caninum. In the acute stage of besnoitiosis, cattle suffer from pyrexia, swollen lymph nodes, anorexia and subcutaneous edema. In the chronic stage, tissue cysts are formed in a variety of tissues including the skin. Knowledge about the distribution of tissue cysts of different parts of the skin of infected animals is scarce. Four chronically infected cattle were euthanized and skin samples were taken from a total of 77 standardized cutaneous locations per animal. Portions of the dermis were taken, from which DNA was extracted and examined by real-time PCR. Cycle of transition (Ct) values reflecting the amount of parasite DNA in the samples were determined. For statistical analysis, samples were attributed to 11 larger skin regions ('OuterHindlegDistal', 'Rump, ForelegMiddle', 'NoseFrontEars', 'CheekEye', 'SideLowerPart', 'ForelegDistal', 'SideUpperPart', 'LegsInner', 'VentralHeadNeck', 'DorsalNeckWithersBackTail'). While all samples revealed a positive result in three female cattle, only 63.6% (49/77) of the samples of a bull showed positive results. For statistical analysis, a Ct value of 45 was assumed for samples with a negative result. The dams showed median Ct values of 16.1, 17.5 and 19.4, while in skin samples of the bull a median Ct value of 37.6 was observed. To determine the differences in DNA concentrations between different locations of the skin of the animals, a relative Ct (relCt) was determined by subtracting for each animal indv the MedianCtindv from each sample Ct. Analyses of the relCt values showed that the highest relative parasite DNA concentrations were observed in the categories 'OuterHindlegDistal', 'Rump', 'ForelegMiddle' and 'NoseFrontEars'. The relCt values in these categories differed statistically significantly from those determined for the categories 'VentralHeadNeck' and 'DorsalNeckWithersBackTail'. The analysis showed clear differences in the distribution and the detectability of parasite DNA in the skin of cattle infected with B. besnoiti. In all four animals, samples from the 'Rump' region (Regio fermoris) showed high parasite DNA concentrations. Because this region is also easily accessible for veterinarians, this skin location appears to be optimal for taking skin biopsies for detection or isolation of B. besnoiti.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Besnoitia besnoiti; Bradyzoite; Diagnosis; Real-time PCR; Skin; Tachyzoite

Mesh:

Substances:

Year:  2015        PMID: 26801602     DOI: 10.1016/j.vetpar.2015.12.016

Source DB:  PubMed          Journal:  Vet Parasitol        ISSN: 0304-4017            Impact factor:   2.738


  4 in total

1.  Serological dynamics and risk factors of Besnoitia besnoiti infection in breeding bulls from an endemically infected purebred beef herd.

Authors:  Alessia Libera Gazzonis; Gema Alvarez Garcia; Andrea Maggioni; Sergio Aurelio Zanzani; Emanuela Olivieri; Riccardo Compiani; Giuseppe Sironi; Luis Miguel Ortega Mora; Maria Teresa Manfredi
Journal:  Parasitol Res       Date:  2017-03-10       Impact factor: 2.289

2.  Impact of Endemic Besnoitiosis on the Performance of a Dairy Cattle Herd.

Authors:  Catarina Anastácio; Ricardo Bexiga; Sofia Nolasco; Sara Zúquete; Inês L S Delgado; Telmo Nunes; Alexandre Leitão
Journal:  Animals (Basel)       Date:  2022-05-18       Impact factor: 3.231

3.  Detection of Anti-Neospora caninum Antibodies on Dairy Cattle Farms in Southern Italy.

Authors:  Raffaella Manca; Giuseppina Ciccarese; Domenico Scaltrito; Daniela Chirizzi
Journal:  Vet Sci       Date:  2022-02-17

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

Authors:  Christelle Grisez; Leslie Bottari; Françoise Prévot; Jean-Pierre Alzieu; Emmanuel Liénard; Fabien Corbière; Marie Rameil; Xavier Desclaux; Christophe Lacz; Christian Boulon; Julie Petermann; Jeanne Le Mével; Carine Vilardell; Philippe Jacquiet
Journal:  Parasit Vectors       Date:  2020-10-22       Impact factor: 3.876

  4 in total

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