Global view of bionetwork dynamics: adaptive landscape.
Global view of bionetwork dynamics: adaptive landscape.
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DOI：
10.1016/s1673-8527(08)60093-4
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发表时间：
2009-02
影响因子：
5.9
通讯作者：
Ao, Ping
中科院分区：
文献类型：
--
作者：
Ao, Ping
基于最近的工作，我将对生物学中一个强有力的定量概念--适应性景观作一个非技术性的简要回顾。70多年前，分子生物学的创始人之一和其他人在不同的生物学背景下重新引入了赖特，但显然被现代生物学家遗忘了多年。然而，这一概念在系统生物学和生物网络动力学建模的发展中发挥着越来越重要的作用，从噬菌体λ基因开关到癌症发生和发展的内源性网络。它是描述生物网络鲁棒性和稳定性的理想量化指标。在这里，我将首先介绍生物学中关于这一概念的五个里程碑式的建议，以展示理论生物学中的一个重要共同点。然后，我将讨论一些最近的结果，重点是研究表明适应性景观的理论一致性。从一个科学家的角度来看，当面对经验数据时，动态理论在逻辑上需要什么，适应性景观在隐喻和定量上都是有用的，它抓住了生物动力学过程的一个重要方面。虽然在理论层面上，适应性景观必须存在，它可以在生物学中跨层次边界使用，但许多相关的问题在其最初的表述中确实是模糊的，并且它们的定量实现并不容易，并且是定量生物学家的良好研究课题。我将从更广泛的角度讨论与适应性景观相关的三种开放性问题。
Based on recent work, I will give a nontechnical brief review of a powerful quantitative concept in biology, adaptive landscape, initially proposed by S. Wright over 70 years ago, reintroduced by one of the founders of molecular biology and by others in different biological contexts, but apparently forgotten by modern biologists for many years. Nevertheless, this concept finds an increasingly important role in the development of systems biology and bionetwork dynamics modeling, from phage lambda genetic switch to endogenous network for cancer genesis and progression. It is an ideal quantification to describe the robustness and stability of bionetworks. Here, I will first introduce five landmark proposals in biology on this concept, to demonstrate an important common thread in theoretical biology. Then I will discuss a few recent results, focusing on the studies showing theoretical consistency of adaptive landscape. From the perspective of a working scientist and of what is needed logically for a dynamical theory when confronting empirical data, the adaptive landscape is useful both metaphorically and quantitatively, and has captured an essential aspect of biological dynamical processes. Though at the theoretical level the adaptive landscape must exist and it can be used across hierarchical boundaries in biology, many associated issues are indeed vague in their initial formulations and their quantitative realizations are not easy, and are good research topics for quantitative biologists. I will discuss three types of open problems associated with the adaptive landscape in a broader perspective.