A glance of the blood stage transcriptome of a Southeast Asian Plasmodium ovale isolate

Abstract

Plasmodium ovale accounts for a disproportionate number of travel-related malaria cases. This parasite is understudied since there is a reliance on clinical samples. We collected a P. ovale curtisi parasite isolate from a clinical case in western Thailand and performed RNA-seq analysis on the blood stage transcriptomes. Using both de novo assembly and alignment-based methods, we detected the transcripts for 6628 out of 7280 annotated genes. For those lacking evidence of expression, the vast majority belonged to the PIR and STP1 gene families. We identified new splicing patterns for over 2500 genes, and mapped at least one untranslated region for over half of all annotated genes. Our analysis also detected a notable presence of anti-sense transcripts for over 10% of P. ovale curtisi genes. This transcriptomic analysis provides new insights into the blood-stage biology of this neglected parasite. Ovale malaria can be caused by one of two Plasmodium parasites, P. ovale curtisi and P. ovale wallikeri. P. ovale parasites are especially adept at evading prophylactic antimalarial drugs and traveling internationally, which makes them interesting from a global health perspective. Due to the lack of a continuous culture system for these parasites, research on P. ovale parasites has lagged behind and relies on clinical samples. Recent genome sequencing of a few P. ovale clinical isolates provides the blueprint of the parasite genome and in silico prediction of parasite genes. However, confirmation of the annotated genes and proof of their expression are needed. Here we obtained a P. ovale curtisi clinical isolate from western Thailand and performed RNA-seq analysis on the blood-stage parasites. High-quality RNA-seq data has enabled us to identify transcripts for 6628 of the 7280 annotated genes. Consistent with the blood stage development, housekeeping genes such as those involved in translation and metabolism are highly expressed. Prediction of the UTRs as well as detection of anti-sense transcripts and potential splicing patterns suggests the presence of complex gene regulation mechanisms for this parasite. This transcriptome dataset will serve as a useful resource for future studies of P. ovale.