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迈向丝虫病的新型治疗方法:对丝虫线虫全基因组共同进化分析的洞察及…… (原文结尾不完整)

Toward novel treatment against filariasis: Insight into genome-wide co-evolutionary analysis of filarial nematodes and .

作者信息

Wangwiwatsin Arporn, Kulwong Siriyakorn, Phetcharaburanin Jutarop, Namwat Nisana, Klanrit Poramate, Loilome Watcharin, Maleewong Wanchai, Reid Adam J

机构信息

Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.

出版信息

Front Microbiol. 2023 Mar 22;14:1052352. doi: 10.3389/fmicb.2023.1052352. eCollection 2023.

Abstract

Infectious diseases caused by filarial nematodes are major health problems for humans and animals globally. Current treatment using anti-helminthic drugs requires a long treatment period and is only effective against the microfilarial stage. Most species of filarial nematodes harbor a specific strain of bacteria, which are essential for the survival, development, and reproduction of the nematodes. This parasite-bacteria obligate symbiosis offers a new angle for the cure of filariasis. In this study, we utilized publicly available genome data and putative protein sequences from seven filarial nematode species and their symbiotic to screen for protein-protein interactions that could be a novel target against multiple filarial nematode species. Genome-wide screening was performed to predict molecular interactions based on co-evolutionary signals. We identified over 8,000 pairs of gene families that show evidence of co-evolution based on high correlation score and low false discovery rate (FDR) between gene families and obtained a candidate list that may be keys in filarial nematode- interactions. Functional analysis was conducted on these top-scoring pairs, revealing biological processes related to various signaling processes, adult lifespan, developmental control, lipid and nucleotide metabolism, and RNA modification. Furthermore, network analysis of the top-scoring genes with multiple co-evolving pairs suggests candidate genes in both and the nematode that may play crucial roles at the center of multi-gene networks. A number of the top-scoring genes matched well to known drug targets, suggesting a promising drug-repurposing strategy that could be applicable against multiple filarial nematode species.

摘要

丝虫线虫引起的传染病是全球人类和动物面临的主要健康问题。目前使用抗蠕虫药物的治疗需要较长的治疗期,并且仅对微丝蚴阶段有效。大多数丝虫线虫物种都携带一种特定的细菌菌株,这些细菌对于线虫的生存、发育和繁殖至关重要。这种寄生虫与细菌的专性共生为丝虫病的治疗提供了一个新的角度。在本研究中,我们利用来自七种丝虫线虫物种及其共生菌的公开可用基因组数据和推定蛋白质序列,筛选可能成为针对多种丝虫线虫物种的新靶点的蛋白质-蛋白质相互作用。基于共进化信号进行全基因组筛选以预测分子相互作用。我们鉴定出超过8000对基因家族,这些基因家族基于基因家族之间的高相关评分和低错误发现率(FDR)显示出共进化的证据,并获得了一个可能是丝虫线虫相互作用关键的候选列表。对这些得分最高的对进行功能分析,揭示了与各种信号传导过程、成虫寿命、发育控制、脂质和核苷酸代谢以及RNA修饰相关的生物学过程。此外,对具有多个共同进化对的得分最高基因的网络分析表明,细菌和线虫中的候选基因可能在多基因网络的中心发挥关键作用。许多得分最高的基因与已知药物靶点匹配良好,这表明一种有前景的药物重新利用策略可能适用于多种丝虫线虫物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4f4/10073474/b6d677675c47/fmicb-14-1052352-g001.jpg

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