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Longitudinal evaluation of humoral immune response and merozoite surface antigen diversity in calves naturally infected with Babesia bovis, in São Paulo, Brazil

Overview of attention for article published in Revista Brasileira de Parasitologia Veterinária, December 2017
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Title
Longitudinal evaluation of humoral immune response and merozoite surface antigen diversity in calves naturally infected with Babesia bovis, in São Paulo, Brazil
Published in
Revista Brasileira de Parasitologia Veterinária, December 2017
DOI 10.1590/s1984-29612017069
Pubmed ID
Authors

Carlos António Matos, Luiz Ricardo Gonçalves, Dasiel Obregón Alvarez, Carla Roberta Freschi, Jenevaldo Barbosa da Silva, Silvana Pompeia Val-Moraes, Natalia Serra Mendes, Marcos Rogério André, Rosangela Zacarias Machado

Abstract

Babesiosis is an economically important infectious disease affecting cattle worldwide. In order to longitudinally evaluate the humoral immune response against Babesia bovis and the merozoite surface antigen diversity of B. bovis among naturally infected calves in Taiaçu, Brazil, serum and DNA samples from 15 calves were obtained quarterly, from their birth to 12 months of age. Anti-B. bovis IgG antibodies were detected by means of the indirect fluorescent antibody test (IFAT) and enzyme-linked immunosorbent assay (ELISA). The polymerase chain reaction (PCR) was used to investigate the genetic diversity of B. bovis, based on the genes that encode merozoite surface antigens (MSA-1, MSA-2b and MSA-2c). The serological results demonstrated that up to six months of age, all the calves developed active immunity against B. bovis. Among the 75 DNA samples evaluated, 2, 4 and 5 sequences of the genes msa-1, msa-2b and msa-2c were obtained. The present study demonstrated that the msa-1 and msa-2b genes sequences amplified from blood DNA of calves positive to B. bovis from Taiaçu were genetically distinct, and that msa-2c was conserved. All animals were serologically positive to ELISA and IFAT, which used full repertoire of parasite antigens in despite of the genetic diversity of MSAs.

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Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Doctoral Student 3 20%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 1 7%
Other 0 0%
Unknown 5 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 27%
Agricultural and Biological Sciences 3 20%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Chemistry 1 7%
Other 0 0%
Unknown 5 33%