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RESEARCH PRODUCT

The transcriptome analysis of Strongyloides stercoralis L3i larvae reveals targets for intervention in a neglected disease.

Rafael ToledoJuan F. Martinez-blanchDolores BernalJavier SotilloMaría TrelisCarla Muñoz-antoliAntonio MarcillaGagan GargJavier FormentJ. Guillermo EstebanLaia PedrolaJavier OrtizShoba RanganathanShoba RanganathanM. Victoria Dominguez

subject

lcsh:Arctic medicine. Tropical medicineSequence analysisHaemonchus-contortuslcsh:RC955-962Molecular Sequence DataComputational biologyBiologyBioinformaticsDNA sequencingStrongyloides stercoralisTranscriptomeParasitic DiseasesmedicineAnimalsHumansDictyocaulus-viviparusGene Expression Profilinglcsh:Public aspects of medicinePublic Health Environmental and Occupational HealthNeglected DiseasesFunctional genomicslcsh:RA1-1270Sequence Analysis DNADNA Protozoanmedicine.diseasebiology.organism_classificationGene expression profilingInfectious DiseasesStrongyloidiasisLarvaHost-Pathogen InteractionsStrongyloidesStrongyloidiasisMedicineHelminth-parasitesStrongyloides stercoralisFunctional genomicsResearch ArticleNeglected Tropical Diseases

description

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.

10.1371/journal.pntd.0001513http://europepmc.org/articles/PMC3289599?pdf=render