Abstract

In eukaryotic organisms, DNA replication is initiated at a series of chromosomal locations called origins, where replication forks are assembled proceeding bidirectionally to replicate the genome. The distribution and firing rate of these origins, in conjunction with the velocity at which forks progress, dictate the program of the replication process. Previous attempts at modeling DNA replication in eukaryotes have focused on cases where the firing rate and the velocity of replication forks are homogeneous, or uniform, across the genome. However, it is now known that there are large variations in origin activity along the genome and variations in fork velocities can also take place. Here, we generalize previous approaches to modeling replication, to allow for arbitrary spatial variation of initiation rates and fork velocities. We derive rate equations for left- and right-moving forks and for replication probability over time that can be solved numerically to obtain the mean-field replication program. This method accurately reproduces the results of DNA replication simulation. We also successfully adapted our approach to the inverse problem of fitting measurements of DNA replication performed on single DNA molecules. Since such measurements are performed on specified portion of the genome, the examined DNA molecules may be replicated by forks that originate either within the studied molecule or outside of it. This problem was solved by using an effective flux of incoming replication forks at the model boundaries to represent the origin activity outside the studied region. Using this approach, we show that reliable inferences can be made about the replication of specific portions of the genome even if the amount of data that can be obtained from single-molecule experiments is generally limited.

Highlights

  • Cells must accurately duplicate their DNA content at every cell cycle

  • Rate-equation approach As mentioned above, we have developed a theoretical approach that can be substituted for numerical simulations in order to speed up the analysis of a given replication scenario when one is interested in the average replication kinetics

  • We demonstrate the versatility of our modeling technique by adapting it to the study of a more subtle type of data that has recently been obtained via single molecule analysis of replicated DNA (SMARD), a method developed by Norio et al [7]

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Summary

Introduction

Cells must accurately duplicate their DNA content at every cell cycle. Depending on the organism, the process of DNA replication can initiate at one or multiple sites called origins of replication. The DNA is copied by a pair of oppositely moving replication forks that emerge from each origin. Inhomogeneous replication firing can be caused by a variety of factors such as an inhomogeneous distribution of pre-replication complexes or their uneven activation during the S phase. This is believed to be caused by factors such as the primary sequence of DNA, the presence of transcription factor binding sites, the chromatin organization of the DNA template and by gene expression [5,12,13]. Modeling DNA replication is challenging because the probability of initiation of an origin varies along the genome, the moment at which an origin fires is stochastic, and origins do not systematically fire at each cell cycle

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