Berners-Lee Rosie, Gilmore Eamonn, Berkemeier Francisco, Boemo Michael A
University of St. Andrews, St. Andrews, Fife, United Kingdom.
Department of Pathology, University of Cambridge, Cambridge, United Kingdom.
PLoS Comput Biol. 2025 Jun 2;21(6):e1013066. doi: 10.1371/journal.pcbi.1013066. eCollection 2025 Jun.
In order to maintain genomic integrity, DNA replication must be highly coordinated. Disruptions in this process can cause replication stress which is aberrant in many pathologies including cancer. Despite this, little is known about the mechanisms governing the temporal regulation of DNA replication initiation, thought to be related to the limited copy number of firing factors. Here, we present a high (1-kilobase) resolution stochastic model of Saccharomyces cerevisiae whole-genome replication in which origins compete to associate with limited firing factors. After developing an algorithm to fit this model to replication timing data, we validated the model by reproducing experimental inter-origin distances, origin efficiencies, and replication fork directionality. This suggests the model accurately simulates the aspects of DNA replication most important for determining its dynamics. We also use the model to predict measures of DNA replication dynamics which are yet to be determined experimentally and investigate the potential impacts of variations in firing factor concentrations on DNA replication.
为了维持基因组完整性,DNA复制必须高度协调。这一过程的中断会导致复制应激,而复制应激在包括癌症在内的许多病理状况中都是异常的。尽管如此,对于调控DNA复制起始时间的机制我们却知之甚少,一般认为这与起始因子的有限拷贝数有关。在此,我们提出了一个高分辨率(1千碱基)的酿酒酵母全基因组复制随机模型,其中各复制起点竞争与有限的起始因子相结合。在开发出一种将该模型与复制时间数据拟合的算法后,我们通过重现实验测得的复制起点间距离、复制起点效率和复制叉方向性对模型进行了验证。这表明该模型准确地模拟了对确定DNA复制动态最为重要的那些方面。我们还使用该模型来预测尚未通过实验确定的DNA复制动态指标,并研究起始因子浓度变化对DNA复制的潜在影响。