de novo analysis and functional classification of the transcriptome of the root lesion nematode, Pratylenchus thornei, after 454 GS FLX sequencing

Abstract

The migratory endoparasitic root lesion nematode Pratylenchus thornei is a major pest of the cereals wheat and barley. In what we believe to be the first global transcriptome analysis for P. thornei, using Roche GS FLX sequencing, 787,275 reads were assembled into 34,312 contigs using two assembly programs, to yield 6,989 contigs common to both. These contigs were annotated, resulting in functional assignments for 3,048. Specific transcripts studied in more detail included carbohydrate active enzymes potentially involved in cell wall degradation, neuropeptides, putative plant nematode parasitism genes, and transcripts that could be secreted by the nematode. Transcripts for cell wall degrading enzymes were similar to bacterial genes, suggesting that they were acquired by horizontal gene transfer. Contigs matching 14 parasitism genes found in sedentary endoparasitic nematodes were identified. These genes are thought to function in suppression of host defenses and in feeding site development, but their function in P. thornei may differ. Comparison of the common contigs from P. thornei with other nematodes showed that 2,039 were common to sequences of the Heteroderidae, 1,947 to the Meloidogynidae, 1,218 to Radopholus similis, 1,209 matched expressed sequence tags (ESTs) of Pratylenchus penetrans and Pratylenchus vulnus, and 2,940 to contigs of Pratylenchus coffeae. There were 2,014 contigs common to Caenarhabditis elegans, with 15.9% being common to all three groups. Twelve percent of contigs with matches to the Heteroderidae and the Meloidogynidae had no homology to any C. elegans protein. Fifty-seven percent of the contigs did not match known sequences and some could be unique to P. thornei. These data provide substantial new information on the transcriptome of P. thornei, those genes common to migratory and sedentary endoparasitic nematodes, and provide additional understanding of genes required for different forms of parasitism. The data can also be used to identify potential genes to study host interactions and for crop protection.