Transcriptomic analysis of four developmental stages of Strongyloides venezuelensis

Strongyloides venezuelensis is one of some 50 species of genus Strongyloides, obligate gastrointestinal parasites of vertebrates, responsible for strongyloidiasis in humans and other domestic/companion animals. Although S. venezuelensis has been widely used as a model species for studying human/animal strongyloidiasis, the sequence information for this species has been quite limited. To create a more comprehensive catalogue of expressed genes for identification of genes potentially involved in animal parasitism, we conducted a de novo sequencing analysis of the transcriptomes from four developmental stages of S. venezuelensis, using a Roche 454 GS FLX Titanium pyrosequencing platform. A total of 14,573 contigs were produced after de novo assemblies of over 2 million sequencing reads and formed a dataset “Vene454”. BLAST homology search of Vene454 against proteome and transcriptome data from other animal-parasitic and non-animal-parasitic nematode species revealed several interesting genes, which may be potentially related to animal parasitism, including nicotinamide phosphoribosyltransferase and ferrochelatase. The Vene454 dataset analysis also enabled us to identify transcripts that are specifically enriched in each developmental stage. This work represents the first large-scale transcriptome analysis of S. venezuelensis and the first study to examine the transcriptome of the lung L3 developmental stage of any Strongyloides species. The results not only will serve as valuable resources for future functional genomics analyses to understand the molecular aspects of animal parasitism, but also will provide essential information for ongoing whole genome sequencing efforts in this species.

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► De novo sequencing analysis of the Strongyloides venezuelensis transcriptomes was performed.
► Functional annotations were assigned to the obtained sequences.
► Potential animal-parasitism-related genes were sought by BLAST analyses.
► Expression pattern profiling was conducted by counting sequencing reads.