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Coordinated Regulation of Virulence during Systemic Infection of Salmonella enterica Serovar Typhimurium

机译:肠道沙门氏菌鼠伤寒沙门氏菌全身感染过程中毒力的协调调节。

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摘要

To cause a systemic infection, Salmonella must respond to many environmental cues during mouse infection and express specific subsets of genes in a temporal and spatial manner, but the regulatory pathways are poorly established. To unravel how micro-environmental signals are processed and integrated into coordinated action, we constructed in-frame non-polar deletions of 83 regulators inferred to play a role in Salmonella enteriditis Typhimurium (STM) virulence and tested them in three virulence assays (intraperitoneal [i.p.], and intragastric [i.g.] infection in BALB/c mice, and persistence in 129X1/SvJ mice). Overall, 35 regulators were identified whose absence attenuated virulence in at least one assay, and of those, 14 regulators were required for systemic mouse infection, the most stringent virulence assay. As a first step towards understanding the interplay between a pathogen and its host from a systems biology standpoint, we focused on these 14 genes. Transcriptional profiles were obtained for deletions of each of these 14 regulators grown under four different environmental conditions. These results, as well as publicly available transcriptional profiles, were analyzed using both network inference and cluster analysis algorithms. The analysis predicts a regulatory network in which all 14 regulators control the same set of genes necessary for Salmonella to cause systemic infection. We tested the regulatory model by expressing a subset of the regulators in trans and monitoring transcription of 7 known virulence factors located within Salmonella pathogenicity island 2 (SPI-2). These experiments validated the regulatory model and showed that the response regulator SsrB and the MarR type regulator, SlyA, are the terminal regulators in a cascade that integrates multiple signals. Furthermore, experiments to demonstrate epistatic relationships showed that SsrB can replace SlyA and, in some cases, SlyA can replace SsrB for expression of SPI-2 encoded virulence factors.
机译:为了引起全身性感染,沙门氏菌必须在小鼠感染过程中对许多环境线索作出反应,并以时空方式表达特定基因的子集,但调节途径尚不完善。为了揭示微环境信号如何被处理并整合到协同作用中,我们构建了83个调控因子的框内非极性缺失,这些缺失被推断在鼠伤寒沙门氏菌(STM)毒力中起作用,并在三种毒力试验中进行了测试(腹膜内[ ip],BALB / c小鼠的胃内感染[ig]和129X1 / SvJ小鼠的持久性)。总体上,在至少一种测定中鉴定出35个调节剂的缺失,它们的存在不会减弱毒力,其中14种调节剂是全身性小鼠感染(最严格的毒力测定)所必需的。从系统生物学的观点出发,理解病原体与其宿主之间相互作用的第一步,我们集中在这14个基因上。获得在四个不同环境条件下生长的这14个调节子的缺失的转录概况。使用网络推断和聚类分析算法分析了这些结果以及可公开获得的转录谱。该分析预测了一个监管网络,其中所有14个监管机构都控制沙门氏菌引起全身感染所需的同一组基因。我们通过反式表达调节子的一部分并监测位于沙门氏菌致病岛2(SPI-2)中的7种已知毒力因子的转录来测试调节模型。这些实验验证了调节器模型,并表明响应调节器SsrB和MarR型调节器SlyA是级联中集成多个信号的终端调节器。此外,证明上位关系的实验表明,SsrB可以替代SlyA,在某些情况下,SlyA可以替代SsrB以表达SPI-2编码的毒力因子。

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