Plasmodium falciparum: genetic and immunogenic characterisation of the rhoptry neck protein PfRON4.

The Apicomplexan parasites Toxoplasma and Plasmodium, respectively, cause toxoplasmosis and malaria in humans and although they invade different host cells they share largely conserved invasion mechanisms. Plasmodium falciparum merozoite invasion of red blood cells results from a series of co-ordinated events that comprise attachment of the merozoite, its re-orientation, release of the contents of the invasion-related apical organelles (the rhoptries and micronemes) followed by active propulsion of the merozoite into the cell via an actin-myosin motor. During this process, a tight junction between the parasite and red blood cell plasma membranes is formed and recent studies have identified rhoptry neck proteins, including PfRON4, that are specifically associated with the tight junction during invasion. Here, we report the structure of the gene that encodes PfRON4 and its apparent limited diversity amongst geographically diverse P. falciparum isolates. We also report that PfRON4 protein sequences elicit immunogenic responses in natural human malaria infections.

Ten families of variant genes encoded in subtelomeric regions of multiple chromosomes of Plasmodium chabaudi, a malaria species that undergoes antigenic variation in the laboratory mouse.

The chromosome ends of human malaria parasites harbour many genes encoding proteins that are exported to the surface of infected red cells, often being involved in host-parasite interactions and immune evasion. Unlike other murine malaria parasites Plasmodium chabaudi undergoes antigenic variation during passage in the laboratory mouse and hence is a model suitable for investigation of switching mechanisms. However, little is known about the subtelomeric regions of P. chabaudi chromosomes and its variable antigens. Here we report 80 kb of sequence from an end of one P. chabaudi chromosome. Hybridization of probes spanning this region to two dimensional pulsed field gels of the genome revealed 10 multicopy gene families located exclusively in subtelomeric regions of multiple P. chabaudi chromosomes, interspersed amongst multicopy intergenic regions. Hence all chromosomes share a common subtelomeric structure, presumably playing a similar role in spatial positioning as the P. falciparum Rep20 sequence. Expression in blood stages, domains characteristic of surface antigens and copy numbers between four and several hundred per genome, indicate a functional role in antigenic variation for some of these families. We identify members of the cir family, as well as novel genes, that although clearly homologous to cir have large low complexity regions in the predicted extracellular domains. Although all families have homologues in other rodent Plasmodium species, four were previously not known to be subtelomeric. Six have homologues in human and simian malarias.

PlasmoDB: the Plasmodium genome resource. An integrated database providing tools for accessing, analyzing and mapping expression and sequence data (both finished and unfinished).

PlasmoDB (http://PlasmoDB.org) is the official database of the Plasmodium falciparum genome sequencing consortium. This resource incorporates finished and draft genome sequence data and annotation emerging from Plasmodium sequencing projects. PlasmoDB currently houses information from five parasite species and provides tools for cross-species comparisons. Sequence information is also integrated with other genomic-scale data emerging from the Plasmodium research community, including gene expression analysis from EST, SAGE and microarray projects. The relational schemas used to build PlasmoDB [Genomics Unified Schema (GUS) and RNA Abundance Database (RAD)] employ a highly structured format to accommodate the diverse data types generated by sequence and expression projects. A variety of tools allow researchers to formulate complex, biologically based queries of the database. A version of the database is also available on CD-ROM (Plasmodium GenePlot), facilitating access to the data in situations where Internet access is difficult (e.g. by malaria researchers working in the field). The goal of PlasmoDB is to enhance utilization of the vast quantities of data emerging from genome-scale projects by the global malaria research community.