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首页> 外文期刊>Evolutionary Bioinformatics >A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Tradeoff on Phenotype Robustness in Biological Networks Part II: Ecological Networks
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A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Tradeoff on Phenotype Robustness in Biological Networks Part II: Ecological Networks

机译：生物网络中遗传鲁棒性，环境鲁棒性，网络鲁棒性及其在表型鲁棒性上的权衡的统一数学框架第二部分：生态网络

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In ecological networks, network robustness should be large enough to confer intrinsic robustness for tolerating intrinsic parameter fluctuations, as well as environmental robustness for resisting environmental disturbances, so that the phenotype stability of ecological networks can be maintained, thus guaranteeing phenotype robustness. However, it is difficult to analyze the network robustness of ecological systems because they are complex nonlinear partial differential stochastic systems. This paper develops a unifying mathematical framework for investigating the principles of both robust stabilization and environmental disturbance sensitivity in ecological networks. We found that the phenotype robustness criterion for ecological networks is that if intrinsic robustness + environmental robustness ≤ network robustness, then the phenotype robustness can be maintained in spite of intrinsic parameter fluctuations and environmental disturbances. These results in robust ecological networks are similar to that in robust gene regulatory networks and evolutionary networks even they have different spatial-time scales.
机译：在生态网络中，网络的鲁棒性应足够大，以赋予固有的鲁棒性以承受内在的参数波动，以及足以抵抗环境干扰的环境鲁棒性，从而可以维持生态网络的表型稳定性，从而保证表型的鲁棒性。但是，由于生态系统是复杂的非线性偏微分随机系统，因此难以分析其网络鲁棒性。本文建立了一个统一的数学框架，用于研究生态网络中鲁棒稳定和环境干扰敏感性的原理。我们发现生态网络的表型鲁棒性标准是，如果内在鲁棒性+环境鲁棒性≤网络鲁棒性，那么尽管存在内在参数波动和环境干扰，表型鲁棒性仍可保持。鲁棒的生态网络的结果类似于鲁棒的基因调节网络和进化网络，即使它们具有不同的时空尺度。

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