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Transcriptomic, Functional, and Network Analyses Reveal Novel Genes Involved in the Interaction Between Caenorhabditis elegans and Stenotrophomonas maltophilia

机译:转录组,功能和网络分析揭示了涉及Caenorhabdise秀丽隐杆线虫和Stenotophomonas靶麦芽杆菌相互作用的新基因

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摘要

The bacterivorous nematode Caenorhabditis elegans is an excellent model for the study of innate immune responses to a variety of bacterial pathogens, including the emerging nosocomial bacterial pathogen Stenotrophomonas maltophilia. The study of this interaction has ecological and medical relevance as S. maltophilia is found in association with C. elegans and other nematodes in the wild and is an emerging opportunistic bacterial pathogen. We identified 393 genes that were differentially expressed when exposed to virulent and avirulent strains of S. maltophilia and an avirulent strain of E. coli. We then used a probabilistic functional gene network model (WormNet) to determine that 118 of the 393 differentially expressed genes formed an interacting network and identified a set of highly connected genes with eight or more predicted interactions. We hypothesized that these highly connected genes might play an important role in the defense against S. maltophila and found that mutations of six of seven highly connected genes have a significant effect on nematode survival in response to these bacteria. Of these genes, C48B4.1, mpk-2, cpr-4, clec-67, and lys-6 are needed for combating the virulent S. maltophilia JCMS strain, while dod-22 was solely involved in response to the avirulent S. maltophilia K279a strain. We further found that dod-22 and clec-67 were up regulated in response to JCMS vs. K279a, while C48B4.1, mpk-2, cpr-4, and lys-6 were down regulated. Only dod-22 had a documented role in innate immunity, which demonstrates the merit of our approach in the identification of novel genes that are involved in combating S. maltophilia infection.
机译:该细菌线虫线虫是先天免疫反应的多种细菌病原体,包括新兴医院细菌病原体单胞菌研究的一个很好的模型。这种相互作用的研究具有生态和医疗相关的S.麦芽在关联发现C.野生线虫和其他线虫,是一个新兴的机会主义细菌病原体。我们确定了当暴露于毒力和S.麦芽的无毒菌株和大肠杆菌的无毒菌株,其差异表达的基因393。然后,我们使用一个概率性功能基因网络模型(WormNet)以确定393个差异表达的基因的118形成的相互作用网络,并确定一组高度连接的基因的八个或更多的预测相互作用。我们假设这些高度关联的基因可能在打击S.嗜麦芽防御中发挥重要作用,并发现了7种高度关联的基因六是基因突变的响应这些细菌对线虫生存显著的效果。这些基因中,C48B4.1,MPK-2,CPR-4,CLEC-67,和Lys-6需要用于对抗毒性S.麦芽JCMS应变,而DOD-22仅涉及响应于无毒S.麦芽K279a菌株。我们还发现,DOD-22和CLEC-67上升了响应于JCMS与K279a调节,而C48B4.1,MPK-2,CPR-4,和Lys-6下调。只有DOD-22曾在先天免疫记录的作用,这表明了我们在参与打击S.麦芽感染新基因的鉴定方法的优点。

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