Nariya Maulik K, Israeli Johnny, Shi Jack J, Deeds Eric J
Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas, United States of America.
Center for Computational Biology, University of Kansas, Lawrence, Kansas, United States of America.
PLoS Comput Biol. 2016 Apr 14;12(4):e1004851. doi: 10.1371/journal.pcbi.1004851. eCollection 2016 Apr.
Type III Secretion Systems (T3SS) are complex bacterial structures that provide gram-negative pathogens with a unique virulence mechanism whereby they grow a needle-like structure in order to inject bacterial effector proteins into the cytoplasm of a host cell. Numerous experiments have been performed to understand the structural details of this nanomachine during the past decade. Despite the concerted efforts of molecular and structural biologists, several crucial aspects of the assembly of this structure, such as the regulation of the length of the needle itself, remain unclear. In this work, we used a combination of mathematical and computational techniques to better understand length control based on the timing of substrate switching, which is a possible mechanism for how bacteria ensure that the T3SS needles are neither too short nor too long. In particular, we predicted the form of the needle length distribution based on this mechanism, and found excellent agreement with available experimental data from Salmonella typhimurium with only a single free parameter. Although our findings provide preliminary evidence in support of the substrate switching model, they also make a set of quantitative predictions that, if tested experimentally, would assist in efforts to unambiguously characterize the regulatory mechanisms that control the growth of this crucial virulence factor.
III型分泌系统(T3SS)是复杂的细菌结构,为革兰氏阴性病原体提供了一种独特的毒力机制,使它们能够形成针状结构,以便将细菌效应蛋白注入宿主细胞的细胞质中。在过去十年中,人们进行了大量实验来了解这种纳米机器的结构细节。尽管分子生物学家和结构生物学家共同努力,但该结构组装的几个关键方面,如针本身长度的调节,仍不清楚。在这项工作中,我们结合数学和计算技术,基于底物切换的时间更好地理解长度控制,这是细菌确保T3SS针既不太短也不太长的一种可能机制。特别是,我们基于这种机制预测了针长度分布的形式,并且仅用一个自由参数就发现与鼠伤寒沙门氏菌的现有实验数据高度吻合。虽然我们的研究结果提供了支持底物切换模型的初步证据,但它们也做出了一系列定量预测,如果通过实验进行验证,将有助于明确表征控制这种关键毒力因子生长的调控机制。