稳健性与可进化性:重新审视的范式。

Hfsp Journal Pub Date : 2010-06-01 Epub Date: 2010-05-07 DOI:10.2976/1.3404403
Erich Bornberg-Bauer, Linus Kramer
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引用次数: 12

摘要

可进化性是生物系统快速适应新需求的特性。稳健性似乎正好相反。尽管如此,许多生物系统表现出这两种特性——这是一个令人困惑的观察结果,在过去几十年里引起了许多争论。德拉吉等人最近发表的一个模型[Nature 463, 353-355(2010)]巧妙地规避了早期分子系统的计算机研究的复杂性,并提供了一个分析解决方案,令人惊讶地独立于参数选择。根据任何给定基因型的突变率和可接近表型的数量,可进化性和稳健性可以协调一致。进一步的研究将需要调查这些参数设置是否充分代表了自然系统所覆盖的自由度范围,以及自然系统是否确实假设了一种状态,在这种状态下,鲁棒性和可进化性都具有特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Robustness versus evolvability: a paradigm revisited.

Evolvability is the property of a biological system to quickly adapt to new requirements. Robustness seems to be the opposite. Nonetheless many biological systems display both properties-a puzzling observation, which has caused many debates over the last decades. A recently published model by Draghi et al. [Nature 463, 353-355 (2010)] elegantly circumvents complications of earlier in silico studies of molecular systems and provides an analytical solution, which is surprisingly independent from parameter choice. Depending on the mutation rate and the number of accessible phenotypes at any given genotype, evolvability and robustness can be reconciled. Further research will need to investigate if these parameter settings adequately represent the range of degrees of freedom covered by natural systems and if natural systems indeed assume a state in which both properties, robustness and evolvability, are featured.

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Hfsp Journal
Hfsp Journal 综合性期刊-综合性期刊
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Frontiers in life science. Inherited adaptation of genome-rewired cells in response to a challenging environment. Network reconstruction reveals new links between aging and calorie restriction in yeast. Molecular motors as an auto-oscillator. Robustness versus evolvability: a paradigm revisited.
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