Zhu Caoli, Yan Yicheng, Feng Yaning, Sun Jiawei, Mu Mingdao, Yang Zhiyuan
School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China.
School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Pathogens. 2024 Dec 10;13(12):1088. doi: 10.3390/pathogens13121088.
is a parasite transmitted by mosquitoes and can cause a neglected tropical disease called Lymphatic filariasis. However, the genome of was not well studied, making novel drug development difficult. This study aims to identify microRNA, annotate protein function, and explore the pathogenic mechanism of by genome-wide analysis. Novel miRNAs were identified by analysis of expressed sequence tags (ESTs) from this parasite. Protein homology was obtained by a bidirectional best-hit strategy using BLAST. By an EST-based method, we identified 20 novel miRNAs in the genome. The AU content of these miRNAs ranged from 39.7% to 80.0%, with a mean of 52.9%. Among them, 14 miRNA homologs were present in mammal genomes, while six miRNA homologs were present in non-mammal genomes. By conducting a detailed sequence alignment using BLAST, we have successfully annotated the functions of 75 previously unannotated proteins, enhancing our understanding of the proteome and potentially revealing new targets for therapy. Homology distribution analysis indicated that a set of critical proteins were present in parasites and mosquitoes, but not present in mammals. By searching the literature, ten proteins were found to be involved in the pathogenic infection process of . In addition, the miRNA-gene network analysis indicated that two pathogenic genes ( and ) are regulated by newly identified miRNAs. These genes were supposed to play key roles in the infection mechanism of . In conclusion, our genome-wide analysis provided new clues for the prevention and treatment of . infection.
是一种由蚊子传播的寄生虫,可导致一种被称为淋巴丝虫病的被忽视热带病。然而,该寄生虫的基因组尚未得到充分研究,这使得新型药物开发变得困难。本研究旨在通过全基因组分析来鉴定微小RNA、注释蛋白质功能并探索该寄生虫的致病机制。通过分析来自该寄生虫的表达序列标签(EST)来鉴定新型微小RNA。使用BLAST通过双向最佳匹配策略获得蛋白质同源性。通过基于EST的方法,我们在基因组中鉴定出20个新型微小RNA。这些微小RNA的AU含量范围为39.7%至80.0%,平均为52.9%。其中,14个微小RNA同源物存在于哺乳动物基因组中,而6个微小RNA同源物存在于非哺乳动物基因组中。通过使用BLAST进行详细的序列比对,我们成功注释了75个先前未注释的蛋白质的功能,增进了我们对蛋白质组的理解,并可能揭示新的治疗靶点。同源性分布分析表明,一组关键蛋白质存在于寄生虫和蚊子中,但不存在于哺乳动物中。通过查阅文献,发现有10种蛋白质参与该寄生虫的致病感染过程。此外,微小RNA-基因网络分析表明,两个致病基因(和)受新鉴定的微小RNA调控。这些基因被认为在该寄生虫的感染机制中起关键作用。总之,我们的全基因组分析为该寄生虫感染的预防和治疗提供了新线索。