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通过跨代反馈进行对变化环境适应的进化学习。

Evolutionary learning of adaptation to varying environments through a transgenerational feedback.

作者信息

Xue BingKan, Leibler Stanislas

机构信息

The Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ 08540;

The Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ 08540; Laboratory of Living Matter and Center for Studies in Physics and Biology, The Rockefeller University, New York, NY 10065.

出版信息

Proc Natl Acad Sci U S A. 2016 Oct 4;113(40):11266-11271. doi: 10.1073/pnas.1608756113. Epub 2016 Sep 19.

Abstract

Organisms can adapt to a randomly varying environment by creating phenotypic diversity in their population, a phenomenon often referred to as "bet hedging." The favorable level of phenotypic diversity depends on the statistics of environmental variations over timescales of many generations. Could organisms gather such long-term environmental information to adjust their phenotypic diversity? We show that this process can be achieved through a simple and general learning mechanism based on a transgenerational feedback: The phenotype of the parent is progressively reinforced in the distribution of phenotypes among the offspring. The molecular basis of this learning mechanism could be searched for in model organisms showing epigenetic inheritance.

摘要

生物体可以通过在其种群中创造表型多样性来适应随机变化的环境,这种现象通常被称为“风险对冲”。表型多样性的有利水平取决于多代时间尺度上环境变化的统计数据。生物体能否收集此类长期环境信息来调整其表型多样性?我们表明,这个过程可以通过一种基于跨代反馈的简单通用学习机制来实现:亲本的表型在后代的表型分布中逐渐得到强化。可以在显示表观遗传的模式生物中寻找这种学习机制的分子基础。

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本文引用的文献

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