基因网络鲁棒性的多变量特征
Gene network robustness as a multivariate character
摘要：
对遗传或环境干扰的鲁棒性通常被认为是生命系统的关键特性。然而，尽管自20世纪50年代以来一直在讨论，但稳健性如何从遗传结构的复杂性中产生以及它如何进化仍然不清楚。特别是，是否鲁棒性是独立于各种来源的扰动条件的范围内，可以考虑的自适应方案。例如，对可遗传突变的鲁棒性的选择可能是适度和间接的，并且其进化可能来自对多效相关性状的间接选择（例如，稳态）。在这里，我建议将各种鲁棒性测量作为定量特征，并从理论上研究，通过基于个人的模拟，他们的倾向独立发展。基于一个简单的进化模型的基因调控网络，我表明，基因表达的鲁棒性的遗传或非遗传干扰的五个测量基本上是相关的。然而，鲁棒性在几个维度上是突变的，并且鲁棒性成分可以在直接选择压力下差异地进化。因此，基因表达对突变和环境因素的敏感性依赖于相同的基因网络这一事实并不排除鲁棒性组件的不同进化历史。这篇文章已经同行评议，并推荐同行社区在进化生物学发布：30日3月2022（https：//doi.org/10.24072/pci.evolbiol.100138）
英文摘要：
Robustness to genetic or environmental disturbances is often considered as a key property of living systems. Yet, in spite of being discussed since the 1950s, how robustness emerges from the complexity of genetic architectures and how it evolves still remains unclear. In particular, whether or not robustness is independent to various sources of perturbations conditions the range of adaptive scenarios that can be considered. For instance, selection for robustness to heritable mutations is likely to be modest and indirect, and its evolution might result from indirect selection on a pleiotropically-related character (e.g., homeostasis). Here, I propose to treat various robustness measurements as quantitative characters, and study theoretically, by individual-based simulations, their propensity to evolve independently. Based on a simple evolutionary model of a gene regulatory network, I showed that five measurements of the robustness of gene expression to genetic or non-genetic disturbances were substantially correlated. Yet, robustness was mutationally variable in several dimensions, and robustness components could evolve differentially under direct selection pressure. Therefore, the fact that the sensitivity of gene expression to mutations and environmental factors rely on the same gene networks does not preclude distinct evolutionary histories of robustness components. This article has been peer-reviewed and recommended by Peer Community In Evolutionary Biology Posted: 30th March 2022 (https://doi.org/10.24072/pci.evolbiol.100138)
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