| Grant number: | 12/04087-0 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | June 01, 2012 |
| End date: | September 30, 2014 |
| Field of knowledge: | Biological Sciences - Biochemistry - Molecular Biology |
| Principal Investigator: | Isabel Kinney Ferreira de Miranda Santos |
| Grantee: | Sandra Regina Costa Maruyama |
| Host Institution: | Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil |
| Associated scholarship(s): | 12/15464-0 - RNA-seq of bovine leukocytes from peripheral blood: a functional analysis of the transcriptome in cattle immunized with recombinant antigens from the cattle tick, Rhipicephalus microplus, and in infested cattle., BE.EP.PD |
Abstract Tick infestations by Rhipicephalus microplus, the cattle tick, cause enormous losses to animal health and consequently to animal production. Ticks induce immune response in their hosts, hence their immunobiological control is feasible. Due to variable efficacy of available anti-tick vaccine, several groups have tested new tick antigens. The research group in ticks of FMRP-USP is screening new candidate antigens, selected by transcriptomic analysis of ticks fed on resistant or susceptible hosts. So far, four recombinant salivary antigens have been tested as a multicomponent anti-tick vaccine in bovines. The R. microplus challenge displayed that tick infestation in vaccinated bovines was reduced significantly. The efficacy of vaccine (73.2%) was evaluated through antigen-specific antibody production and by reduction in biological parameters of infestation. A global perspective of the molecular process trigged during immunization and infestation in vaccinated bovines and control group will provide important information for understanding the mechanisms of protection involved in tick/host interface. Thus, the aim of this propose is analyzing the transcriptome of the leukocytes from peripheral blood of bovines vaccinated and of control group. The transcriptome was obtained by RNA-seq and the data will be analyzed by bioinformatic tools for differential gene expression identification, as well as obtaining gene signatures related to protective immunity conferred by the vaccine and also related to infestation. | |
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