A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Tradeoff on Phenotype Robustness in Biological Networks Part II: Ecological Networks

作者: Bor-Sen Chen , Ying-Po Lin

DOI: 10.4137/EBO.S10685

关键词: Computer scienceEcological systems theoryRobustness (evolution)Ecological networkPartial derivativeClinical scienceNonlinear systemBiological networkGene regulatory networkData scienceMathematical optimization

摘要: In ecological networks, network robustness should be large enough to confer intrinsic for tolerating parameter fluctuations, as well environmental resisting disturbances, so that the phenotype stability of networks can maintained, thus guaranteeing robustness. However, it is difficult analyze systems because they are complex nonlinear partial differential stochastic systems. This paper develops a unifying mathematical framework investigating principles both robust stabilization and disturbance sensitivity in networks. We found criterion if + % robustness, then maintained spite fluctuations disturbances. These results similar gene regulatory evolutionary even have different spatial-time scales.

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