Cells generally adapt to environmental changes to achieve homeostasis. Although simple mechanisms for adaptation through network motifs consisting of a few genes are well understood, how regulatory networks involving many genes that activate or repress each other can generate adaptive behaviors is unclear. Here, by numerically evolving gene regulatory networks, we obtained a class of genes whose expression dynamics showed adaptation over almost all genes, albeit sometimes partial adaptation,

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... m which we revealed the general logic underlying such adaptive dynamics with many degrees of freedom, which was not reducible to common motifs with a few genes. These results have implications in the significance to the biological homeostasis of systems with many components. 1P273 細胞の集団的意思決定の設計原理