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Radopholus similis is an important nematode pest on fruit crops in the tropics. Unraveling the transcriptome of this migratory plant-parasitic nematode can provide insight in the parasitism process and lead to more eYcient control measures. For the Wrst high throughput molecular characterization of this devastating nematode, 5,853 expressed sequence tags from a mixed stage population were generated. Adding 1,154 tags from the EST division of GenBank for subsequent analysis, resulted in a total of 7,007 ESTs, which represent approximately 3,200 genes. The mean G + C content of the nucleotides at the third codon position (GC3%) was calculated to be as high as 64.8%, the highest for nematodes reported to date. BLAST-searches resulted in about 70% of the clustered ESTs having homology to (DNA and protein) sequences from the GenBank database, whereas one-third of them did not match to any known sequence. Roughly 40% of these latter sequences are predicted to be coding, representing putative novel protein coding genes. Functional annotation of the sequences by GO annotation revealed the abundance of genes involved in reproduction and development, which reXects the nematode population biology. Genes with a role in the parasitism process are identiWed, as well as genes essential for nematode survival, providing information useful for parasite control. No evidence was found for the presence of trans-spliced leader sequences commonly occurring in nematodes, despite the use of various approaches. In conclusion, we found three diVerent sources for the EST sequences: the majority has a nuclear origin, approximately 1% of the EST sequences are derived from the mitochondrial transcriptome, and interestingly, 1% of the tags are with high probability derived from Wolbachia, providing the Wrst molecular indication for the presence of this endosymbiont in a plant-parasitic nematode.Keywords Expressed sequence tag analysis · Trans-spliced leader · Parasitism · G + C content · Wolbachia · Endoparasitic migratory nematode

The mountains of data thrusting from the new landscape of modern high-throughput biology are irrevocably changing biomedical research and creating a near-insatiable demand for training in data management and manipulation and data mining and analysis. Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and practical concepts. Providing bioinformatics training to empower life scientists to handle and analyse their data efficiently, and progress their research, is a challenge across the globe. Delivering good training goes beyond traditional lectures and resource-centric demos, using interactivity, problem-solving exercises and cooperative learning to substantially enhance training quality and learning outcomes. In this context, this article discusses various pragmatic criteria for identifying training needs and learning objectives, for selecting suitable trainees and trainers, for developing and maintaining training skills and evaluating training quality. Adherence to these criteria may help not only to guide course organizers and trainers on the path towards bioinformatics training excellence but, importantly, also to improve the training experience for life scientists.

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Background: Mitochondria (mt) contain their own autonomously replicating DNA, constituted as a small circular genome encoding essential subunits of the respiratory chain. Mt DNA is characterized by a genetic code which differs from the standard one. Interestingly, the mt genome of nematodes share some peculiar features, such as small transfer RNAs, truncated ribosomal RNAs and -in the class of Chromadorean nematodes -unidirectional transcription.