关键词: GUI MATLAB Organism and diffusion coefficient Quorum sensing

Mesh : Quorum Sensing / physiology User-Computer Interface Diffusion Biofilms Computer Simulation Bacteria / cytology growth & development metabolism Pheromones / metabolism Bacterial Load Time Factors

来  源:   DOI:10.1038/s41598-024-63661-0   PDF(Pubmed)

Abstract:
Bacteria employ quorum sensing as a remarkable mechanism for coordinating behaviors and communicating within their communities. In this study, we introduce a MATLAB Graphical User Interface (GUI) that offers a versatile platform for exploring the dynamics of quorum sensing. Our computational framework allows for the assessment of quorum sensing, the investigation of parameter dependencies, and the prediction of minimum biofilm thickness required for its initiation. A pivotal observation from our simulations underscores the pivotal role of the diffusion coefficient in quorum sensing, surpassing the influence of bacterial cell dimensions. Varying the diffusion coefficient reveals significant fluctuations in autoinducer concentration, highlighting its centrality in shaping bacterial communication. Additionally, our GUI facilitates the prediction of the minimum biofilm thickness necessary to trigger quorum sensing, a parameter contingent on the diffusion coefficient. This feature provides valuable insights into spatial constraints governing quorum sensing initiation. The interplay between production rates and cell concentrations emerges as another critical facet of our study. We observe that higher production rates or cell concentrations expedite quorum sensing, underscoring the intricate relationship between cell communication and population dynamics in bacterial communities. While our simulations align with mathematical models reported in the literature, we acknowledge the complexity of living organisms, emphasizing the value of our GUI for standardizing results and facilitating early assessments of quorum sensing. This computational approach offers a window into the environmental conditions conducive to quorum sensing initiation, encompassing parameters such as the diffusion coefficient, cell concentration, and biofilm thickness. In conclusion, our MATLAB GUI serves as a versatile tool for understanding the diverse aspects of quorum sensing especially for non-biologists. The insights gained from this computational framework advance our understanding of bacterial communication, providing researchers with the means to explore diverse ecological contexts where quorum sensing plays a pivotal role.
摘要:
细菌采用群体感应作为协调行为和在其社区内进行交流的显着机制。在这项研究中,我们介绍了一个MATLAB图形用户界面(GUI),它提供了一个通用的平台来探索仲裁传感的动态。我们的计算框架允许评估群体感应,参数依赖关系的调查,并预测其启动所需的最小生物膜厚度。从我们的模拟中得到的关键观察强调了扩散系数在群体感应中的关键作用,超越细菌细胞尺寸的影响。改变扩散系数揭示了自动诱导剂浓度的显著波动,强调其在塑造细菌交流中的中心地位。此外,我们的GUI有助于预测触发法定感应所需的最小生物膜厚度,取决于扩散系数的参数。此功能为控制群体感应启动的空间约束提供了有价值的见解。生产率和细胞浓度之间的相互作用是我们研究的另一个关键方面。我们观察到更高的生产率或细胞浓度会加速群体感应,强调细菌群落中细胞通讯与种群动态之间的复杂关系。虽然我们的模拟与文献中报道的数学模型一致,我们承认生物体的复杂性,强调我们的GUI对标准化结果和促进早期评估的价值。这种计算方法提供了一个窗口,以了解有利于群体感应启动的环境条件,包括扩散系数等参数,细胞浓度,和生物膜厚度。总之,我们的MATLABGUI作为一个通用的工具,用于理解群体感应的各个方面,特别是对于非生物学家。从这个计算框架中获得的见解促进了我们对细菌交流的理解,为研究人员提供了探索不同生态环境的手段,其中群体感应起着关键作用。
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