Model and analysis of population density estimation via quorum sensing
Model and analysis of population density estimation via quorum sensing
复制标题
通过群体感应估计人口密度的模型和分析
DOI：
10.1109/acssc.2016.7869192
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
U. Mitra
中科院分区：
文献类型：
--
作者：
Nicolò Michelusi;U. Mitra
微生物群落利用被称为群体感应的分子信号电路来调节各种集体功能。群体感应调节的理解和建模对于设计纳米网络和实现纳米机器之间的通信和协调至关重要。在本文中，一个随机排队模型的群体感应的启发，已知的生物过程。群体感应的动力学在整个细菌群落的分析研究。提出了群体感应估计种群密度的必要条件。结果表明，自诱导物的合成速率需要在一定的值范围内，以建立每个细胞内的局部自诱导物浓度和群体密度之间的相关性。
Microbial communities regulate various collective functions using molecular signaling circuits known as quorum sensing. Understanding and modeling of quorum sensing regulation is essential to design nano-networks and enable communication and coordination among nano-machines. In this paper, a stochastic queuing model of quorum sensing is developed, inspired by known biological processes. The dynamics of quorum sensing across the bacterial community are investigated analytically. Necessary conditions for population density estimation via quorum sensing are presented. It is shown that the synthesis rate of autoinducers needs to lie within a certain range of values, in order to establish correlation between the local autoinducer concentration within each cell and population density.