Goryachev Andrew B, Toh Da-Jun, Wee Keng Boon, Lee Travis, Zhang Hai-Bao, Zhang Lian-Hui
Systems Biology Group, Bioinformatics Institute, Singapore.
PLoS Comput Biol. 2005 Sep;1(4):e37. doi: 10.1371/journal.pcbi.0010037. Epub 2005 Sep 16.
Understanding of the intracellular molecular machinery that is responsible for the complex collective behavior of multicellular populations is an exigent problem of modern biology. Quorum sensing, which allows bacteria to activate genetic programs cooperatively, provides an instructive and tractable example illuminating the causal relationships between the molecular organization of gene networks and the complex phenotypes they control. In this work we--to our knowledge for the first time--present a detailed model of the population-wide transition to quorum sensing using the example of Agrobacterium tumefaciens. We construct a model describing the Ti plasmid quorum-sensing gene network and demonstrate that it behaves as an "on-off" gene expression switch that is robust to molecular noise and that activates the plasmid conjugation program in response to the increase in autoinducer concentration. This intracellular model is then incorporated into an agent-based stochastic population model that also describes bacterial motion, cell division, and chemical communication. Simulating the transition to quorum sensing in a liquid medium and biofilm, we explain the experimentally observed gradual manifestation of the quorum-sensing phenotype by showing that the transition of individual model cells into the "on" state is spread stochastically over a broad range of autoinducer concentrations. At the same time, the population-averaged values of critical autoinducer concentration and the threshold population density are shown to be robust to variability between individual cells, predictable and specific to particular growth conditions. Our modeling approach connects intracellular and population scales of the quorum-sensing phenomenon and provides plausible answers to the long-standing questions regarding the ecological and evolutionary significance of the phenomenon. Thus, we demonstrate that the transition to quorum sensing requires a much higher threshold cell density in liquid medium than in biofilm, and on this basis we hypothesize that in Agrobacterium quorum sensing serves as the detector of biofilm formation.
理解负责多细胞群体复杂集体行为的细胞内分子机制是现代生物学的一个紧迫问题。群体感应使细菌能够协同激活遗传程序,它提供了一个具有启发性且易于处理的例子,阐明了基因网络的分子组织与其所控制的复杂表型之间的因果关系。在这项工作中,据我们所知,我们首次以根癌农杆菌为例,提出了一个关于群体向群体感应转变的详细模型。我们构建了一个描述Ti质粒群体感应基因网络的模型,并证明它表现为一个对分子噪声具有鲁棒性的“开-关”基因表达开关,且能响应自诱导物浓度的增加而激活质粒接合程序。然后,这个细胞内模型被纳入一个基于主体的随机群体模型,该模型还描述了细菌运动、细胞分裂和化学通讯。通过模拟在液体培养基和生物膜中向群体感应的转变,我们解释了实验观察到的群体感应表型的逐渐显现,表明单个模型细胞向“开”状态的转变在广泛的自诱导物浓度范围内随机分布。同时,关键自诱导物浓度和阈值群体密度的群体平均值对单个细胞之间的变异性具有鲁棒性,对于特定的生长条件是可预测且特定的。我们的建模方法将群体感应现象的细胞内和群体尺度联系起来,并为关于该现象的生态和进化意义的长期问题提供了合理的答案。因此,我们证明向群体感应的转变在液体培养基中所需的阈值细胞密度比在生物膜中高得多,在此基础上我们假设在根癌农杆菌中群体感应充当生物膜形成的检测器。