Mining gene expression data for rational identification of novel drug targets and vaccine candidates against the cattle tick, Rhipicephalus microplus

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Authors

Maritz-Olivier, Christine
Ferreira, Mariette
Olivier, Nicholas Abraham
Crafford, Jan Ernst
Stutzer, Christian

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

Control of complex parasites via vaccination remains challenging, with the current combination of vaccines and small drugs remaining the choice for an integrated control strategy. Studies conducted to date, are providing evidence that multicomponent vaccines will be needed for the development of protective vaccines against endo- and ectoparasites, though multicomponent vaccines require an in-depth understanding of parasite biology which remains insufficient for ticks. With the rapid development and spread of acaricide resistance in ticks, new targets for acaricide development also remains to be identified, along with novel targets that can be exploited for the design of lead compounds. In this study, we analysed the differential gene expression of Rhipicephalus microplus ticks that were fed on cattle vaccinated with a multi-component vaccine (Bm86 and 3 putative Bm86-binding proteins). The data was scrutinised for the identification of vaccine targets, small drug targets and novel pathways that can be evaluated in future studies. Limitations associated with targeting novel proteins for vaccine and/or drug design is also discussed and placed into the context of challenges arising when targeting large protein families and intracellular localised proteins. Lastly, this study provide insight into how Bm86-based vaccines may reduce successful uptake and digestion of the bloodmeal and overall tick fecundity.

Description

DATA AVAILABILITY : Normalized microarray data was submitted to the GEO repository of the National Centre for Biotechnology Information on accession no GSE221646.

Keywords

Rhipicephalus microplus, Bm86, Multicomponent vaccine, DNA microarray, Antigen selection, Drug target identification, Deoxyribonucleic acid (DNA), SDG-03: Good health and well-being

Sustainable Development Goals

SDG-03:Good heatlh and well-being

Citation

Maritz-Olivier, C., Ferreira, M., Olivier, N.A. 2023, 'Mining gene expression data for rational identification of novel drug targets and vaccine candidates against the cattle tick, Rhipicephalus microplus', Experimental and Applied Acarology, vol. 91, pp. 291-317. https://DOI.org/10.1007/s10493-023-00838-8.