渠化降低了生物网络调控的非线性

Claus Kadelka, David Murrugarra
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引用次数: 0

摘要

基因调控网络等生物网络具有理想的特性。与随机网络相比,它们更具鲁棒性和可控性。这就促使人们寻找生物网络在进化过程中融入的结构和动态特征。最近对已发表的、由专家编辑的布尔生物网络模型进行的荟萃分析发现了几个这样的特征,这些特征通常被称为设计原则。其中包括:生物网络富含某些重复出现的网络图案;动态更新模块比预期的更冗余、更偏向和更渠化;与同类随机网络相比,生物网络的动态可通过线性和低阶近似更好地近似。由于这些特征大多相互关联,因此最重要的是厘清因果关系,即了解哪些特征是进化主动选择的,从而真正构成进化设计原则。在这里,我们证明了近似性与网络的动态鲁棒性密切相关,而生物网络中运河化程度的提高几乎可以完全解释最近推测的高近似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Canalization reduces the nonlinearity of regulation in biological networks
Biological networks such as gene regulatory networks possess desirable properties. They are more robust and controllable than random networks. This motivates the search for structural and dynamical features that evolution has incorporated in biological networks. A recent meta-analysis of published, expert-curated Boolean biological network models has revealed several such features, often referred to as design principles. Among others, the biological networks are enriched for certain recurring network motifs, the dynamic update rules are more redundant, more biased and more canalizing than expected, and the dynamics of biological networks are better approximable by linear and lower-order approximations than those of comparable random networks. Since most of these features are interrelated, it is paramount to disentangle cause and effect, that is, to understand which features evolution actively selects for, and thus truly constitute evolutionary design principles. Here, we show that approximability is strongly dependent on the dynamical robustness of a network, and that increased canalization in biological networks can almost completely explain their recently postulated high approximability.
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