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Noise and Low-Level Dynamics Can Coordinate Multicomponent Bet Hedging Mechanisms

机译:噪声和低水平动力学可以协调多成分对冲机制

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摘要

To counter future uncertainty, cells can stochastically express stress response mechanisms to diversify their population and hedge against stress. This approach allows a small subset of the population to survive without the prohibitive cost of constantly expressing resistance machinery at the population level. However, expression of multiple genes in concert is often needed to ensure survival, requiring coordination of infrequent events across many downstream targets. This raises the question of how cells orchestrate the timing of multiple rare events without adding cost. To investigate this, we used a stochastic model to study regulation of downstream target genes by a transcription factor. We compared several upstream regulator profiles, including constant expression, pulsatile dynamics, and noisy expression. We found that pulsatile dynamics and noise are sufficient to coordinate expression of multiple downstream genes. Notably, this is true even when fluctuations in the upstream regulator are far below the dissociation constants of the regulated genes, as with infrequently activated genes. As an example, we simulated the dynamics of the multiple antibiotic resistance activator (MarA) and 40 diverse downstream genes it regulates, determining that low-level dynamics in MarA are sufficient to coordinate expression of resistance mechanisms. We also demonstrated that noise can play a similar coordinating role. Importantly, we found that these benefits are present without a corresponding increase in the population-level cost. Therefore, our model suggests that low-level dynamics or noise in a transcription factor can coordinate expression of multiple stress response mechanisms by engaging them simultaneously without adding to the overall cost.
机译:为了应对未来的不确定性,细胞可以随机表达应激反应机制,以使其种群多样化并对抗应激。这种方法使一小部分人口得以生存,而无需在人口级别不断表达抵抗机制的高昂代价。然而,通常需要多个基因的一致表达来确保存活,这需要协调许多下游靶标上的罕见事件。这就提出了一个问题,即细胞如何在不增加成本的情况下协调多个罕见事件的发生时间。为了对此进行研究,我们使用了随机模型来研究转录因子对下游靶基因的调控。我们比较了几种上游调节剂谱,包括恒定表达,脉动动力学和嘈杂表达。我们发现搏动动力学和噪声足以协调多个下游基因的表达。值得注意的是,即使不经常激活的基因,即使上游调节子的波动远低于被调节基因的解离常数,也是如此。例如,我们模拟了多种抗生素抗性激活剂(MarA)及其调控的40个下游下游基因的动力学,确定了MarA中的低水平动力学足以协调抗性机制的表达。我们还证明了噪声可以起到类似的协调作用。重要的是,我们发现这些好处的存在并没有相应增加人口成本。因此,我们的模型表明,转录因子中的低级动态或噪声可以通过同时参与多个应激反应机制来协调它们的表达,而不会增加总成本。

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