A portrait of the transcriptome of the neglected trematode, Fasciola gigantica: biological and biotechnological implications

Young, Neil D., Jex, Aaron R., Cantacessi, Cinzia, Hall, Ross S., Campbell, Bronwyn E., Spithill, Terence W., Tangkawattana, Sirikachorn, Tangkawattana, Prasarn, Laha, Thewarach, and Gasser, Robin B. (2011) A portrait of the transcriptome of the neglected trematode, Fasciola gigantica: biological and biotechnological implications. PLoS Neglected Tropical Disease, 5 (2). e1004. pp. 1-12.

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Abstract

Fasciola gigantica (Digenea) is an important foodborne trematode that causes liver fluke disease (fascioliasis) in mammals, including ungulates and humans, mainly in tropical climatic zones of the world. Despite its socioeconomic impact, almost nothing is known about the molecular biology of this parasite, its interplay with its hosts, and the pathogenesis of fascioliasis. Modern genomic technologies now provide unique opportunities to rapidly tackle these exciting areas. The present study reports the first transcriptome representing the adult stage of F. gigantica (of bovid origin), defined using a massively parallel sequencing-coupled bioinformatic approach. From >20 million raw sequence reads, >30,000 contiguous sequences were assembled, of which most were novel. Relative levels of transcription were determined for individual molecules, which were also characterized (at the inferred amino acid level) based on homology, gene ontology, and/or pathway mapping. Comparisons of the transcriptome of F. gigantica with those of other trematodes, including F. hepatica, revealed similarities in transcription for molecules inferred to have key roles in parasite-host interactions. Overall, the present dataset should provide a solid foundation for future fundamental genomic, proteomic, and metabolomic explorations of F. gigantica, as well as a basis for applied outcomes such as the development of novel methods of intervention against this neglected parasite.

Item ID: 26451
Item Type: Article (Research - C1)
ISSN: 1935-2735
Keywords: parasitic trematodes; bioinformatics; high-throughput sequencing; transcriptomics
Funders: Australian Research Council (ARC)
Date Deposited: 29 Apr 2013 01:24
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 30%
06 BIOLOGICAL SCIENCES > 0604 Genetics > 060408 Genomics @ 60%
08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080301 Bioinformatics Software @ 10%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 60%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 30%
97 EXPANDING KNOWLEDGE > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences @ 10%
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