The Evolutive Adaptation of the Transcriptional Information Transmission in Escherichia coli

大肠杆菌转录信息传递的进化适应

• 批准号: 150284845
• 负责人: Professor Dr.-Ing. Oliver Sawodny
• 金额: --
• 依托单位: Institut für Systemdynamik (ISYS)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/150284845?language=en
• 关键词: Evolutive; Adaptation; Transcriptional; Information; Transmission

Evolution is the process of the adaptation of organisms to their respective environment by permanent genetic alterations, which proceeds by stochastic mutations and selection of the fittest individuals. One fundamental issue is the understanding how a population of organisms adapts to its environment. Mutations lead to a change of the intracellular information channels from transcription factors to gene activities and metabolic fluxes. Therefore, a communication theoretic approach is most promising. The main goal of this project is the information theoretic characterisation and analysis of the intracellular information exchange during adaptive evolution using the example of Escherichia coli populations. An information theoretic model of a cell population is a complex communication system where the inputs and outputs are stochastic variables, namely, transcription factor activities, gene expression, and metabolic fluxes. In the first funding period we focused on the adaptability of the metabolic network and in the second funding period on the adaptability of the transcriptional network under constant environmental conditions. Now we will analyse the adaptability under changing environmental conditions. Populations can react to alternating environmental conditions in different ways (transcriptional regulation or disintegration into subpopulations). Using an information theoretic model of intracellular information transfer, optimal behaviour under long-lasting changing environmental conditions are to be estimated. Model predictions will be verified in E. coli experiments using the platform for evolutive adaptation established by the ISYS and IMB. Therefore, an adaptive evolution experiment with alternating oxygen supply and reporter protein-tagged E. coli strains will be introduced. A further experiment describes the construction of two mutually benefiting E. coli strains. The mutual benefit or reciprocal altruism is based on a synthetic information cascade. Here, adaptive evolution can be used to study the optimisation of an artificial sensory system.

进化是生物体通过永久的遗传改变适应其各自环境的过程，该过程通过随机突变和选择最适合的个体进行。一个基本问题是理解生物种群如何适应其环境。突变导致从转录因子到基因活性和代谢通量的细胞内信息通道的改变。因此，通信理论的方法是最有前途的。该项目的主要目标是以大肠杆菌种群为例，对适应性进化过程中的细胞内信息交换进行信息论表征和分析。细胞群体的信息论模型是一个复杂的通信系统，其中输入和输出是随机变量，即转录因子活动，基因表达和代谢通量。在第一个资助期，我们专注于代谢网络的适应性，在第二个资助期，我们专注于转录网络在恒定环境条件下的适应性。现在我们将分析在不断变化的环境条件下的适应性。种群可以以不同的方式对交替的环境条件作出反应（转录调节或分解成亚群）。使用细胞内信息传递的信息理论模型，估计在长期变化的环境条件下的最佳行为。模型预测将在E. coli实验中，使用ISYS和IMB建立的进化适应平台。因此，采用交替供氧和报告蛋白标记的E。大肠杆菌菌株。进一步的实验描述了两个互利的E。大肠杆菌菌株。互利或互惠利他主义是基于一个综合的信息级联。在这里，自适应进化可以用来研究人工感觉系统的优化。