论文标题
具有合作表达的纠缠基因调节网络endow良好的自适应反应对不可预见的环境变化
Entangled gene regulatory networks with cooperative expression endow robust adaptive responses to unforeseen environmental changes
论文作者
论文摘要
活生物体必须应对环境变化。通常,通过简单的单向网络提供了准确和快速的响应,这些网络将输入与输出联系起来。除了准确性和速度外,生物反应还应对环境或细胞内噪声和突变也有牢固的态度。此外,细胞还必须对以前没有经历过的不可预见的环境变化做出反应,以避免在其网络的进化重新布线之前灭绝,这需要许多世代。我们研究了相互激活或抑制的基因调节网络,并证明复杂的纠缠网络可以建立适当的输入输出关系,以满足无法预见的挑战所需的强大和适应性响应。这种纠缠的网络功能可用于草率和不可靠的反应,低丘陵系数反应为每个基因的表达。为了弥补这样的滑坡,存在监管网络中的几个绕道。通过利用在此类弯路上平均的平均值,与简单的单向电路相比,网络对环境和细胞内噪声以及网络中的突变具有更高的鲁棒性。此外,对不可预见的挑战的适当响应允许功能输出,因为许多基因都表现出相似的动态表达响应,而与输入无关,如应用动态时间扭曲和动态模式分解所证实。由于复杂的纠缠网络在基因调节网络中很常见,并且在微生物实验中观察到了全局基因表达反应,因此目前的结果为细胞网络提供了一种新颖的设计原理。
Living organisms must respond to environmental changes. Generally, accurate and rapid responses are provided by simple, unidirectional networks that connect inputs with outputs. Besides accuracy and speed, biological responses should also be robust to environmental or intracellular noise and mutations. Furthermore, cells must also respond to unforeseen environmental changes that have not previously been experienced, to avoid extinction prior to the evolutionary rewiring of their networks, which takes numerous generations. We have investigated gene regulatory networks that mutually activate or inhibit, and have demonstrated that complex entangled networks can make appropriate input-output relationships that satisfy the robust and adaptive responses required for unforeseen challenges. Such entangled networks function for sloppy and unreliable responses with low Hill coefficient reactions for the expression of each gene. To compensate for such sloppiness, several detours in the regulatory network exist. By taking advantage of the averaging over such detours, the network shows a higher robustness to environmental and intracellular noise as well as to mutations in the network, when compared to simple unidirectional circuits. Furthermore, the appropriate response to unforeseen challenges, allowing for functional outputs, is achieved as many genes exhibit similar dynamic expression responses, irrespective of inputs, as confirmed by applying dynamic time warping and dynamic mode decomposition. As complex entangled networks are common in gene regulatory networks and global gene expression responses are observed in microbial experiments, the present results provide a novel design principle for cellular networks.