基因沉默的表观遗传是通过基于资源竞争的自调整机制来维持的。

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Omer Karin, Eric A Miska, Benjamin D Simons
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引用次数: 0

摘要

生物系统可以在长时间内维持记忆,例如大脑和免疫系统中的记忆。目前还不知道生物回路是如何建立记忆系统的功能特性的,比如记忆持久性。为了解决这个问题,我们关注秀丽隐杆线虫的转基因表观遗传。作为对触发的反应,蠕虫会使目标基因沉默数代,抵抗生长和繁殖引起的强烈稀释。根据静音水平进行选择时,静音也可以无限期地保持。我们表明,这些特性意味着生物化学速率的微调,其中沉默系统位于向双稳态过渡的附近。我们证明了这种行为与基于合成资源竞争的一般机制一致,这导致了在具有宽沉默时间尺度的临界状态周围的自组织。该理论做出了独特的预测,并为长期记忆系统的设计原理提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition.

Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition.

Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition.

Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition.

Biological systems can maintain memories over long timescales, with examples including memories in the brain and immune system. It is unknown how functional properties of memory systems, such as memory persistence, can be established by biological circuits. To address this question, we focus on transgenerational epigenetic inheritance in Caenorhabditis elegans. In response to a trigger, worms silence a target gene for multiple generations, resisting strong dilution due to growth and reproduction. Silencing may also be maintained indefinitely upon selection according to silencing levels. We show that these properties imply the fine-tuning of biochemical rates in which the silencing system is positioned near the transition to bistability. We demonstrate that this behavior is consistent with a generic mechanism based on competition for synthesis resources, which leads to self-organization around a critical state with broad silencing timescales. The theory makes distinct predictions and offers insights into the design principles of long-term memory systems.

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来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
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