Immuno-bioinformatic approach for designing of multi-epitope merozoite surface antigen of Babesia bigemina and evaluation of its immunogenicity in inoculated calves.

Abstract

Babesiosis is a parasitic disease caused by intraerythrocytic parasites of the genus Babesia, which infect both wild and domestic animals. Merozoite surface antigens (MSAs) have been identified as efficient immunogens in Babesia-infected animals. MSAs play a key role in the invasion process and have been proposed as potential targets for vaccine development. Epitope-based vaccines offer several advantages over whole protein vaccines as the immunogenic proteins are small and can induce both Th1 and Th2 immune responses, which are desirable for protection. However, the MSA, particularly gp45, is polymorphic in Babesia bigemina, posing a challenge to vaccine development. The purpose of this study was to develop a recombinant gpME (gp45-multi-epitope) for a vaccine against Babesia bigemina. B-cell, T-cell, and HLA epitope predictions were used to synthesize the gpME sequence from the consensus sequence of gp45. The gpME sequence was synthesized and cloned in the pET28α vector through the commercial biotechnology company to get pET28-gpME. The plasmid cloned with the gpME sequence comprising 1068 bp was expressed in a bacterial expression system. A band of 39 kDa of rec-gpME was obtained via SDS-PAGE and Western blotting. Rec-gpME @200ng was injected in calves 3 times at 2 weeks interval. The humoral response was evaluated through the indirect ELISA method. The ELISA with rec-gp45 protein showed a significant value of optical density. The recombinant protein containing multiple epitopes from the MSA gp45 may represent a promising candidate for a vaccine against Babesia bigemina.