Evolutionary Phase Transitions in Random Environments.
Evolutionary Phase Transitions in Random Environments.
复制标题
随机环境中的进化相变。
DOI：
10.1103/physrevlett.117.038104
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发表时间：
2016
影响因子：
8.6
通讯作者：
Kussell,Edo
中科院分区：
文献类型：
--
作者：
Skanata,Antun;Kussell,Edo
我们提出了分析结果的长期增长率的结构化人口在随机波动的环境中，我们应用于预测细胞反应网络的演变。我们表明，对刺激快速反应的网络将只在随机（即，非周期性）环境。我们确定简单的响应网络，我们可以表现出连续和不连续的过渡的进化相图。我们的方法可以精确分析不同的进化系统，从病毒流行到抗药性的出现。
We present analytical results for long-term growth rates of structured populations in randomly fluctuating environments, which we apply to predict how cellular response networks evolve. We show that networks which respond rapidly to a stimulus will evolve phenotypic memory exclusively under random (i.e., nonperiodic) environments. We identify the evolutionary phase diagram for simple response networks, which we show can exhibit both continuous and discontinuous transitions. Our approach enables exact analysis of diverse evolutionary systems, from viral epidemics to emergence of drug resistance.