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A Portrait of the Transcriptome of the Neglected Trematode Fasciola gigantica—Biological and Biotechnological Implications

机译:被遗弃的吸虫巨大的Fasciola gigantica的转录组肖像—生物学和生物技术意义

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摘要

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.
机译:巨大Fasciola gigantica(Digenea)是一种重要的食源性吸虫,可在哺乳动物(包括有蹄类动物和人类)(主要在世界热带气候区)引起肝吸虫病(筋膜炎)。尽管其具有社会经济影响,但几乎对该寄生虫的分子生物学,其与宿主的相互作用以及筋膜病的发病机理一无所知。现在,现代基因组技术为快速解决这些令人兴奋的领域提供了独特的机会。本研究报告了第一个转录组,代表巨大的F. gigantica(牛源性)的成年阶段,该转录组是使用大规模平行测序偶联的生物信息学方法定义的。从> 2,000万个原始序列读取中,组装了> 30,000个连续序列,其中大多数是新颖的。确定单个分子的相对转录水平,并基于同源性,基因本体论和/或途径作图来表征(在推测的氨基酸水平上)。巨人镰刀菌的转录组与包括肝镰孢菌在内的其他吸虫的转录组的比较揭示了在寄生虫-宿主相互作用中具有关键作用的分子的转录相似性。总的来说,目前的数据集应该为巨无花果的未来基础基因组学,蛋白质组学和代谢组学研究提供坚实的基础,并为应用结果(例如开发针对这种被忽视的寄生虫的新型干预方法)提供基础。

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