Literature DB >> 26907097

Babesia bovis and Babesia bigemina infection levels estimated by qPCR in Angus cattle from an endemic area of São Paulo state, Brazil.

R Giglioti1, H N Oliveira2, C H Santana2, A M G Ibelli3, T A Néo4, T B Bilhassi2, M D Rabelo5, R Z Machado2, L G Brito6, M C S Oliveira5.   

Abstract

The levels of infection by Babesia bovis and Babesia bigemina were estimated by absolute quantification through the quantitative PCR technique (qPCR). Fifty-one contemporaneous Angus cattle were evaluated on two occasions. The number of standard female Rhipicephalus microplus ticks present on the left side of the body was counted and blood samples were drawn from the tail vein into tubes containing the anticoagulant EDTA. The blood samples were submitted to DNA extraction and used to quantify the number of copies (NC) of DNA from B. bovis and B. bigemina by qPCR. The data on tick count and number of DNA copies were transformed for normalization and analyzed by a mixed model method. A multivariate model with repeated measures of the same animal, including the effects of collection, parasite species and their interaction, was used. The repeatability values were obtained from the matrix of (co)variances and were expressed for each species. The correlations between the counts of different species on the same animal, in the same collection or different collections, were also estimated. The results showed the qPCR could distinguish the two between infection by the two Babesia species. Infection levels by B. bovis and B. bigemina were detected in 100% and 98% of the animals, respectively. Significant differences were found (P<0.05) between the NC of the two Babesia species, B. bovis 1.49±0.07 vs. B. bigemina 0.82±0.06. Low repeatabilities were found for the counts of R. microplus and NC of B. bovis and B. bigemina: 0.05, 0.10 and 0.02, respectively. The correlations between R. microplus count and NC of B. bovis and B. bigemina were both very near zero. However, an association was observed between the NC of the two species, with a correlation coefficient of 0.30 for measures from the same collection. The absence of associations between the quantity of DNA from B. bovis and B. bigemina and the tick counts suggests that the variation of parasitemia by the hemoparasites did not depend on the tick infestation levels at the moment of each collection. The repeatability values estimated indicate that under the study conditions, the variations in the tick infestation levels and of parasitemia by B. bovis and B. bigemina depend more on factors related to each collection than on intrinsic factors of the animal.
Copyright © 2016 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Babesiosis; R. microplus; Resistance; qPCR

Mesh:

Year:  2016        PMID: 26907097     DOI: 10.1016/j.ttbdis.2016.02.011

Source DB:  PubMed          Journal:  Ticks Tick Borne Dis        ISSN: 1877-959X            Impact factor:   3.744


  4 in total

1.  qPCR estimates of Babesia bovis and Babesia bigemina infection levels in beef cattle and Rhipicephalus microplus larvae.

Authors:  Rodrigo Giglioti; Henrique Nunes de Oliveira; Cintia Hiromi Okino; Márcia Cristina de Sena Oliveira
Journal:  Exp Appl Acarol       Date:  2018-05-04       Impact factor: 2.132

2.  Comparative evaluation of DNA extraction kit, matrix sample and qPCR assays for bovine babesiosis monitoring.

Authors:  Cintia Hiromi Okino; Rodrigo Giglioti; Pamella Cristini Silva; Henrique Nunes de Oliveira; Márcia Cristina de Sena Oliveira
Journal:  Mol Biol Rep       Date:  2018-10-25       Impact factor: 2.316

3.  Repeatability of Health and Welfare Traits and Correlation with Performance Traits in Dairy Goats Reared under Low-Input Farming Systems.

Authors:  Sotiria Vouraki; Athanasios I Gelasakis; Vasileia Fotiadou; Georgios Banos; Georgios Arsenos
Journal:  Vet Sci       Date:  2022-06-11

4.  Genomic Study of Babesia bovis Infection Level and Its Association With Tick Count in Hereford and Braford Cattle.

Authors:  Ligia Cavani; Camila Urbano Braz; Rodrigo Giglioti; Cintia Hiromi Okino; Claudia Cristina Gulias-Gomes; Alexandre Rodrigues Caetano; Márcia Cristina de Sena Oliveira; Fernando Flores Cardoso; Henrique Nunes de Oliveira
Journal:  Front Immunol       Date:  2020-08-28       Impact factor: 7.561

  4 in total

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