Mathematical model for the distribution of DNA replication origins.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS Physical Review E Pub Date : 2024-09-01 DOI:10.1103/PhysRevE.110.034408
Alessandro de Moura, Jens Karschau
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Abstract

DNA replication in yeast and in many other organisms starts from well-defined locations on the DNA known as replication origins. The spatial distribution of these origins in the genome is particularly important in ensuring that replication is completed quickly. Cells are more vulnerable to DNA damage and other forms of stress while they are replicating their genome. This raises the possibility that the spatial distribution of origins is under selection pressure. In this paper we investigate the hypothesis that natural selection favors origin distributions leading to shorter replication times. Using a simple mathematical model, we show that this hypothesis leads to two main predictions about the origin distributions: that neighboring origins that are inefficient (less likely to fire) are more likely to be close to each other than efficient origins; and that neighboring origins with larger differences in firing times are more likely to be close to each other than origins with similar firing times. We test these predictions using next-generation sequencing data, and show that they are both supported by the data.

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DNA 复制起源分布的数学模型。
酵母和许多其他生物的 DNA 复制都是从 DNA 上被称为复制起源的明确位置开始的。这些起源在基因组中的空间分布对于确保快速完成复制尤为重要。细胞在复制基因组时更容易受到 DNA 损伤和其他形式的压力。这就提出了起源的空间分布受到选择压力的可能性。在本文中,我们研究了自然选择有利于缩短复制时间的起源分布这一假设。通过一个简单的数学模型,我们证明了这一假说会导致关于起源分布的两个主要预测:与高效起源相比,低效起源(较少发射)的相邻起源更有可能彼此靠近;与发射时间相近的起源相比,发射时间相差较大的相邻起源更有可能彼此靠近。我们使用下一代测序数据对这些预测进行了检验,结果表明数据支持这两个预测。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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