获得对法定人数感应调控的额外控制可缓冲微生物生长动态中的噪音

Marco Fondi, Christopher Riccardi, Francesca Di Patti, Francesca Coscione, Alessio Mengoni, Elena Perrin
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引用次数: 0

摘要

法定量感应(QS)是细菌用于集体行动的一种细胞间通信系统。细菌通常拥有一个以上的 QS 调控模块,形成复杂的调控网络。据推测,这些配置是通过将新型转录因子整合到本地调控系统中进化而来的。这些替代配置对 QS 相关表型的选择性优势很难预测,只能根据其潜在的网络结构来预测。在这里,我们展示了 QS 额外调控模块的获得通过显著降低伯克霍尔德氏菌种群最终规模的可变性,对微生物生长动态的整体调控产生了重要影响。我们绘制了现存细菌基因组中横向转移的 QS 模块的分布图,发现在大多数情况下,这些模块往往与已存在的模块相加,占 63.32%。然后,我们选择了一株含有两个相互交织的 QS 模块的菌株,并通过数学建模预测了新获得的模块缓冲生长动态噪音的内在能力。我们在实验中验证了这一预测,选择了一株同时拥有两个系统的菌株,删除了其中一个,并测量了关键生长参数和 QS 合成酶的表达。我们在另外两个菌株上扩展了这种考虑,它们自然地实施了本文所研究的两个版本的 QS 调节。最后,我们利用转录组学表明,新陈代谢的去调节可能在区分这两种配置中起到了关键作用。我们的研究结果揭示了对 QS 调节的额外控制的作用,并阐明了 HGT 事件后可能出现的表型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The acquisition of additional control over quorum sensing regulation buffers noise in microbial growth dynamics
Quorum sensing (QS) is a cell-to-cell communication system used by bacteria to act collectively. Often, bacteria possess more than one QS regulatory module that form complex regulatory networks. Presumably, these configurations have evolved through the integration of novel transcription factors into the native regulatory systems. The selective advantages provided by these alternative configurations on QS-related phenotypes is poorly predictable only based on their underlying network structure. Here we show that the acquisition of extra regulatory modules of QS has important consequences on the overall regulation of microbial growth dynamics by significantly reducing the variability in the final size of the population in Burkholderia. We mapped the distribution of horizontally transferred QS modules in extant bacterial genomes, finding that these tend to add up to already-present modules in the majority of cases, 63.32%. We then selected a strain harboring two intertwined QS modules and, using mathematical modelling, we predicted an intrinsic ability of the newly acquired module to buffer noise in growth dynamics. We experimentally validated this prediction choosing one strain possessing both systems, deleting one of the two and measuring key growth parameters and QS synthase expression. We extended such considerations on two other strains naturally implementing the two versions of the QS regulation studied herein. Finally, using transcriptomics, we show that the de-regulation of metabolism likely plays a key role in differentiating the two configurations. Our results shed light on the role of additional control over QS regulation and illuminate on the possible phenotypes that may arise after HGT events.
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