Plaetzer Kristjan, Thomas S Randall, Falkner Renate, Falkner Gernot
Institute of Physics and Biophysics, University of Salzburg, Hellbrunnerstr. 34, 5020 Salzburg, Austria.
J Theor Biol. 2005 Aug 21;235(4):540-54. doi: 10.1016/j.jtbi.2005.02.007. Epub 2005 Mar 31.
We present a model of microbial information processing that contains characteristic features of the phenomenon of physiological adaptation. The backbone of the model is the "adaptive event" in which energy-converting subsystems of the cell interact with the changing environment. In this process, the subsystems pass, via an adaptive operation mode, from one adapted state to the next. An adaptive operation mode takes place when an adapted state is disturbed by an environmental alteration. These two manifestations of an adaptive event were differently treated in the simulation, based on an application of linear irreversible thermodynamics to the energy transduction of adaptive subsystems. In adapted states, the conductivity coefficients of the flow-force relationships employed remained constant, whereas during an adaptive operation mode, these coefficients were altered in a directional manner during the simulation. An example dealing with the complex relationship between phosphate uptake and cyanobacterial growth is given. In this example, the simulation of adapted states of two subsystems of the incorporating machinery, namely the phosphate carrier in the cell membrane and the F-ATPase in the thylakoid membrane, was in accordance with the measured uptake kinetics, and when fixed, predetermined conductivity coefficients were used. In the adaptive operation mode, however, the simulated behavior was in agreement with experimental observations when the program was able to "interpret" its own performance in the light of environmental phosphate fluctuations, experienced by the cell in the past, and to reconstruct the two subsystems according to this interpretation. Via transitions between adapted states and adaptive modes, information is transferred from one adaptive event to the next: the latter "inherits" the results of former interpretations. By appropriating them selectively, it is entering into a future in which its own interpretation is passed on to the following adaptive event. The model is discussed with respect to the concept of autopoiesis.
我们提出了一种微生物信息处理模型,该模型包含生理适应现象的特征。该模型的核心是“适应性事件”,即细胞的能量转换子系统与不断变化的环境相互作用。在这个过程中,子系统通过一种适应性操作模式从一种适应状态转变为下一种适应状态。当适应状态受到环境变化干扰时,就会发生适应性操作模式。基于将线性不可逆热力学应用于适应性子系统的能量转换,在模拟中对适应性事件的这两种表现形式进行了不同的处理。在适应状态下,所采用的流 - 力关系的传导系数保持不变,而在适应性操作模式期间,这些系数在模拟过程中以定向方式改变。给出了一个处理磷酸盐吸收与蓝藻生长之间复杂关系的例子。在这个例子中,对吸收机制的两个子系统,即细胞膜中的磷酸盐载体和类囊体膜中的F - ATP酶的适应状态进行模拟时,使用固定的、预先确定的传导系数,其结果与测量得到的吸收动力学一致。然而,在适应性操作模式下,当程序能够根据细胞过去经历的环境磷酸盐波动“解读”自身性能,并根据这种解读重建这两个子系统时,模拟行为与实验观察结果一致。通过适应状态和适应模式之间的转换,信息从一个适应性事件传递到下一个适应性事件:后者“继承”了先前解读的结果。通过有选择地采用这些结果,它进入了一个未来,在这个未来中,其自身的解读会传递给下一个适应性事件。我们根据自组织的概念对该模型进行了讨论。