Kashtan Nadav, Mayo Avi E, Kalisky Tomer, Alon Uri
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
PLoS Comput Biol. 2009 Apr;5(4):e1000355. doi: 10.1371/journal.pcbi.1000355. Epub 2009 Apr 10.
Biological systems often display modularity, in the sense that they can be decomposed into nearly independent subsystems. Recent studies have suggested that modular structure can spontaneously emerge if goals (environments) change over time, such that each new goal shares the same set of sub-problems with previous goals. Such modularly varying goals can also dramatically speed up evolution, relative to evolution under a constant goal. These studies were based on simulations of model systems, such as logic circuits and RNA structure, which are generally not easy to treat analytically. We present, here, a simple model for evolution under modularly varying goals that can be solved analytically. This model helps to understand some of the fundamental mechanisms that lead to rapid emergence of modular structure under modularly varying goals. In particular, the model suggests a mechanism for the dramatic speedup in evolution observed under such temporally varying goals.
生物系统通常表现出模块化,即它们可以被分解为几乎独立的子系统。最近的研究表明,如果目标(环境)随时间变化,模块化结构会自发出现,使得每个新目标与先前目标共享相同的子问题集。相对于恒定目标下的进化,这种模块化变化的目标也能显著加速进化。这些研究基于模型系统的模拟,如逻辑电路和RNA结构,这些系统通常不易进行解析处理。我们在此提出一个用于模块化变化目标下进化的简单模型,该模型可以进行解析求解。这个模型有助于理解在模块化变化目标下导致模块化结构快速出现的一些基本机制。特别是,该模型提出了一种机制,用于解释在这种随时间变化的目标下观察到的进化显著加速现象。