Fondi Marco, Riccardi Christopher, Di Patti Francesca, Vaccaro Francesca, Coscione Francesca, Mengoni Alessio, Perrin Elena
Department of Biology, University of Florence, Sesto Fiorentino, Italy.
Centro Interdipartimentale per lo Studio delle Dinamiche Complesse, University of Florence, Sesto Fiorentino, Italy.
Commun Biol. 2025 Aug 6;8(1):1167. doi: 10.1038/s42003-025-08566-y.
Bacteria usually possess more than one quorum sensing (QS) regulatory modules that sometimes form complex regulatory networks. These configurations have evolved through the integration of novel transcription factors into the native regulatory systems. However, 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 by significantly reducing the variability in the final cell density in Burkholderia. By mapping the distribution of horizontally transferred QS modules in extant bacterial genomes, we found that these tend to add up to already-present modules in the majority of cases. We then selected a strain harboring two intertwined QS modules and, using mathematical modeling, we predicted an intrinsic ability of the newly acquired module to buffer the variability in the final cell density. We validated this prediction choosing one strain possessing both systems, deleting one of the two and measuring parameters such as cell density and QS synthase promoter activity. Finally, using transcriptomics, we show that the de-regulation of metabolism likely plays a key role in differentiating the two configurations.
细菌通常拥有不止一个群体感应(QS)调控模块,这些模块有时会形成复杂的调控网络。这些配置是通过将新的转录因子整合到原生调控系统中而进化而来的。然而,仅根据其潜在的网络结构,很难预测这些替代配置对与QS相关表型的选择性优势。在这里,我们表明,获得额外的QS调控模块对微生物生长的整体调控具有重要影响,因为它显著降低了伯克霍尔德菌最终细胞密度的变异性。通过绘制现存细菌基因组中水平转移的QS模块的分布图,我们发现,在大多数情况下,这些模块倾向于与已有的模块相加。然后,我们选择了一个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最终细胞密度变异性的内在能力。我们选择了一个同时拥有这两个系统的菌株,删除其中一个,并测量细胞密度和QS合酶启动子活性等参数,从而验证了这一预测。最后,通过转录组学,我们表明代谢失调可能在区分这两种配置中起关键作用。