Plasmodium translationally repressed gene products are essential for parasite development and malaria transmission

Abstract

Materials and methods RIP-Chip and RT-PCR of immunoprecipitated DOZI and CITH mRNPs from the rodent malaria parasite P. berghei were used to identify molecules with clear surface targeting signals that are associated with P body-like mRNPs. Targeted gene deletion and GFP-tagging was used to identify the function, sub-cellular localisation and expression patterns of these proteins. To study the development of knock-out parasite lines, Anopheles stephensi mosquitoes were allowed to feed on infected mice and infection was quantified at the oocyst and sporozoite stages. In silico analysis identified highly immunogenic peptides in each protein; they were concatenated as codon-optimised, chimerical His6-tagged fusion proteins for heterologous expression to be used in transmission blocking assays. Results 22 mRNAs encoding for surface proteins were shown to be associated with both DOZI- and CITH-defined mRNPs. These include pb25, pb28 ,t he entirepb-fam-5 family, as well as 12 uncharacterised gene products with orthologs in P. falciparum and P. vivax; the latter were targeted for gene deletion. Several of the knock-out mutants show a clear impairment in mosquito stage development, either at the oocyst or sporozoite levels. Some of these completely fail to transmit to naive mice. Full length and concatenated versions (superantigens) of these proteins were expressed in Escherichia coli BL21. Superantigen expression was achieved more easily and in higher yields than full-length proteins. Conclusions Here we identify novel P. berghei translationally repressed mRNAs that encode for mosquito stage surface proteins and are important for parasite development within its vector. Parasites lacking some of these proteins fail to transmit to naive hosts, and are therefore attractive targets for novel transmission blocking vaccines. Heterologous expression of Plasmodium protein is frequently a challenging task due to their disordered nature and the A/T richness of the genome. We used codon optimisation to compensate for A/T rich genes and developed a superantigen strategy to combine the most immunogenic regions of several proteins while avoiding their hydrophobic domains.