Background: Strongyloidiasis is one of the most neglected diseases distributed worldwide with endemic areas in developed
countries, where chronic infections are life threatening. Despite its impact, very little is known about the molecular biology
of the parasite involved and its interplay with its hosts. Next generation sequencing technologies now provide unique
opportunities to rapidly address these questions.
Principal Findings: Here we present the first transcriptome of the third larval stage of S. stercoralis using 454 sequencing
coupled with semi-automated bioinformatic analyses. 253,266 raw sequence reads were assembled into 11,250 contiguous
sequences, most of which were novel. 8037 putative proteins were characterized based on homology, gene ontology and/
or biochemical pathways. Comparison of the transcriptome of S. strongyloides with those of other nematodes, including S.
ratti, revealed similarities in transcription of molecules inferred to have key roles in parasite-host interactions. Enzymatic
proteins, like kinases and proteases, were abundant. 1213 putative excretory/secretory proteins were compiled using a new
pipeline which included non-classical secretory proteins. Potential drug targets were also identified.
Conclusions: Overall, the present dataset should provide a solid foundation for future fundamental genomic, proteomic and
metabolomic explorations of S. stercoralis, as well as a basis for applied outcomes, such as the development of novel
methods of intervention against this neglected parasite.This work was supported by project PS09/02355 from the Fondo de Investigacio´n Sanitaria (FIS), Spanish Ministry of Science and Innovation (Madrid,
Spain) and FEDER and project PROMETEO/2009/081 from Conselleria d’Educacio´ , Generalitat Valenciana (Valencia, Spain). GG would like to acknowledge
Macquarie University for an Australian Post-graduate Award scholarship. The funders had no role in study design, data collection and analysis, decision to publish,
or preparation of the manuscript.Peer reviewe
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