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退化:实现鲁棒性和可进化性的设计原则。

Degeneracy: a design principle for achieving robustness and evolvability.

机构信息

Defence and Security Applications Research Centre, University of New South Wales at the Australian Defence Force Academy, Canberra, Australia.

出版信息

J Theor Biol. 2010 Mar 7;263(1):143-53. doi: 10.1016/j.jtbi.2009.11.008. Epub 2009 Nov 17.

Abstract

Robustness, the insensitivity of some of a biological system's functionalities to a set of distinct conditions, is intimately linked to fitness. Recent studies suggest that it may also play a vital role in enabling the evolution of species. Increasing robustness, so is proposed, can lead to the emergence of evolvability if evolution proceeds over a neutral network that extends far throughout the fitness landscape. Here, we show that the design principles used to achieve robustness dramatically influence whether robustness leads to evolvability. In simulation experiments, we find that purely redundant systems have remarkably low evolvability while degenerate, i.e. partially redundant, systems tend to be orders of magnitude more evolvable. Surprisingly, the magnitude of observed variation in evolvability can neither be explained by differences in the size nor the topology of the neutral networks. This suggests that degeneracy, a ubiquitous characteristic in biological systems, may be an important enabler of natural evolution. More generally, our study provides valuable new clues about the origin of innovations in complex adaptive systems.

摘要

稳健性,即生物系统的某些功能对一组不同条件的不敏感性,与适应性密切相关。最近的研究表明,它在物种进化中也可能起着至关重要的作用。如果进化在一个延伸到适应性景观的很远的中性网络上进行,那么增加稳健性可能会导致可进化性的出现。在这里,我们表明,用于实现稳健性的设计原则极大地影响了稳健性是否会导致可进化性。在模拟实验中,我们发现纯冗余系统的可进化性极低,而退化的(即部分冗余的)系统往往具有数量级更高的可进化性。令人惊讶的是,观察到的可进化性变化的幅度既不能用中性网络的大小差异也不能用其拓扑结构差异来解释。这表明,退化,一种在生物系统中普遍存在的特征,可能是自然进化的一个重要促成因素。更一般地说,我们的研究为复杂自适应系统中创新的起源提供了有价值的新线索。

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