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非洲爪蟾胚胎如何可靠地进行复制:探究随机完成问题。

How Xenopus laevis embryos replicate reliably: investigating the random-completion problem.

作者信息

Yang Scott Cheng-Hsin, Bechhoefer John

机构信息

Department of Physics, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Oct;78(4 Pt 1):041917. doi: 10.1103/PhysRevE.78.041917. Epub 2008 Oct 27.

Abstract

DNA synthesis in Xenopus frog embryos initiates stochastically in time at many sites (origins) along the chromosome. Stochastic initiation implies fluctuations in the time to complete and may lead to cell death if replication takes longer than the cell cycle time ( approximately 25 min) . Surprisingly, although the typical replication time is about 20 min , in vivo experiments show that replication fails to complete only about 1 in 300 times. How is replication timing accurately controlled despite the stochasticity? Biologists have proposed two solutions to this "random-completion problem." The first solution uses randomly located origins but increases their rate of initiation as S phase proceeds, while the second uses regularly spaced origins. In this paper, we investigate the random-completion problem using a type of model first developed to describe the kinetics of first-order phase transitions. Using methods from the field of extreme-value statistics, we derive the distribution of replication-completion times for a finite genome. We then argue that the biologists' first solution to the problem is not only consistent with experiment but also nearly optimizes the use of replicative proteins. We also show that spatial regularity in origin placement does not alter significantly the distribution of replication times and, thus, is not needed for the control of replication timing.

摘要

非洲爪蟾胚胎中的DNA合成在染色体上的许多位点(起始点)随机地在不同时间启动。随机启动意味着完成时间存在波动,如果复制所需时间超过细胞周期时间(约25分钟),可能会导致细胞死亡。令人惊讶的是,尽管典型的复制时间约为20分钟,但体内实验表明,复制失败的情况仅约为300次中有1次。尽管存在随机性,复制时间是如何被精确控制的呢?生物学家提出了两种解决这个“随机完成问题”的方法。第一种方法使用随机定位的起始点,但随着S期的推进增加其启动速率,而第二种方法使用规则间隔的起始点。在本文中,我们使用一种最初为描述一级相变动力学而开发的模型类型来研究随机完成问题。使用极值统计领域的方法,我们推导出了有限基因组的复制完成时间分布。然后我们认为,生物学家提出的解决该问题的第一种方法不仅与实验一致,而且几乎优化了复制蛋白的使用。我们还表明,起始点位置的空间规律性不会显著改变复制时间的分布,因此,对于复制时间的控制不是必需的。

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