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表型稳健性与可塑性的系统生物学

Systems Biology of Phenotypic Robustness and Plasticity.

作者信息

Nijhout H Frederik, Sadre-Marandi Farrah, Best Janet, Reed Michael C

机构信息

Department of Biology, Duke University, Durham, NC 27708, USA.

Mathematical Biology Institute, The Ohio State University, Columbus, OH 43210, USA.

出版信息

Integr Comp Biol. 2017 Aug 1;57(2):171-184. doi: 10.1093/icb/icx076.

Abstract

Gene regulatory networks, cellular biochemistry, tissue function, and whole body physiology are imbued with myriad overlapping and interacting homeostatic mechanisms that ensure that many phenotypes are robust to genetic and environmental variation. Animals also often have plastic responses to environmental variables, which means that many different phenotypes can correspond to a single genotype. Since natural selection acts on phenotypes, this raises the question of how selection can act on the genome if genotypes are decoupled from phenotypes by robustness and plasticity mechanisms. The answer can be found in the systems biology of the homeostatic mechanisms themselves. First, all such mechanisms operate over a limited range and outside that range the controlled variable changes rapidly allowing natural selection to act. Second, mutations and environmental stressors can disrupt homeostatic mechanisms, exposing cryptic genetic variation and allowing natural selection to act. We illustrate these ideas by examining the systems biology of four specific examples. We show how it is possible to analyze and visualize the roles of specific genes and specific polymorphisms in robustness in the context of large and realistic nonlinear systems. We also describe a new method, system population models, that allows one to connect causal dynamics to the variable outcomes that one sees in biological populations with large variation.

摘要

基因调控网络、细胞生物化学、组织功能和全身生理学都充满了无数重叠且相互作用的稳态机制,这些机制确保许多表型对遗传和环境变异具有鲁棒性。动物对环境变量也常常具有可塑性反应,这意味着许多不同的表型可以对应于单一基因型。由于自然选择作用于表型,这就引出了一个问题:如果基因型通过鲁棒性和可塑性机制与表型解耦,那么选择如何作用于基因组呢?答案可以在稳态机制本身的系统生物学中找到。首先,所有这些机制都在有限的范围内起作用,超出该范围,受控变量会迅速变化,从而使自然选择能够发挥作用。其次,突变和环境应激源可以破坏稳态机制,暴露出隐藏的遗传变异,使自然选择能够发挥作用。我们通过研究四个具体例子的系统生物学来说明这些观点。我们展示了如何在大型且现实的非线性系统背景下分析和可视化特定基因及特定多态性在鲁棒性中的作用。我们还描述了一种新方法——系统种群模型,它使人们能够将因果动态与在具有大量变异的生物种群中看到的可变结果联系起来。

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