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随机响应可能使遗传多样性的细胞群体通过更简单的信号网络来优化性能。

Stochastic responses may allow genetically diverse cell populations to optimize performance with simpler signaling networks.

机构信息

Department of Chemical Engineering, MIT, Cambridge, Massachusetts, United States of America.

出版信息

PLoS One. 2013 Aug 7;8(8):e65086. doi: 10.1371/journal.pone.0065086. eCollection 2013.

Abstract

Two theories have emerged for the role that stochasticity plays in biological responses: first, that it degrades biological responses, so the performance of biological signaling machinery could be improved by increasing molecular copy numbers of key proteins; second, that it enhances biological performance, by enabling diversification of population-level responses. Using T cell biology as an example, we demonstrate that these roles for stochastic responses are not sufficient to understand experimental observations of stochastic response in complex biological systems that utilize environmental and genetic diversity to make cooperative responses. We propose a new role for stochastic responses in biology: they enable populations to make complex responses with simpler biochemical signaling machinery than would be required in the absence of stochasticity. Thus, the evolution of stochastic responses may be linked to the evolvability of different signaling machineries.

摘要

两种理论已经出现,用以解释随机性在生物学反应中所扮演的角色:其一,它降低了生物学反应的效率,因此通过增加关键蛋白的分子拷贝数,可以提高生物信号机制的性能;其二,它增强了生物学表现,使种群水平的反应多样化成为可能。我们以 T 细胞生物学为例,证明了这些随机反应的作用不足以解释在利用环境和遗传多样性来做出合作反应的复杂生物系统中观察到的随机反应。我们提出了随机反应在生物学中的一个新作用:它们使群体能够用比没有随机性时所需的更简单的生化信号机制做出复杂的反应。因此,随机反应的进化可能与不同信号机制的可进化性有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4831/3737226/54c0186528b0/pone.0065086.g001.jpg

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