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Mathematical modelling of whole chromosome replication

de Moura, Alessandro P.S.; Retkute, Renata; Hawkins, Michelle; Nieduszynski, Conrad A.


Alessandro P.S. de Moura

Renata Retkute

Michelle Hawkins

Conrad A. Nieduszynski


All chromosomes must be completely replicated prior to cell division, a requirement that demands the activation of a sufficient number of appropriately distributed DNA replication origins. Here we investigate how the activity of multiple origins on each chromosome is coordinated to ensure successful replication. We present a stochastic model for whole chromosome replication where the dynamics are based upon the parameters of individual origins. Using this model we demonstrate that mean replication time at any given chromosome position is determined collectively by the parameters of all origins. Combining parameter estimation with extensive simulations we show that there is a range of model parameters consistent with mean replication data, emphasising the need for caution in interpreting such data. In contrast, the replicated-fraction at time points through S phase contains more information than mean replication time data and allowed us to use our model to uniquely estimate many origin parameters. These estimated parameters enable us to make a number of predictions that showed agreement with independent experimental data, confirming that our model has predictive power. In summary, we demonstrate that a stochastic model can recapitulate experimental observations, including those that might be interpreted as deterministic such as ordered origin activation times.


de Moura, A. P., Retkute, R., Hawkins, M., & Nieduszynski, C. A. (2010). Mathematical modelling of whole chromosome replication. Nucleic Acids Research, 38(17),

Journal Article Type Article
Publication Date Sep 1, 2010
Deposit Date Oct 12, 2010
Publicly Available Date Oct 12, 2010
Journal Nucleic Acids Research
Print ISSN 0305-1048
Electronic ISSN 0305-1048
Publisher Oxford University Press
Peer Reviewed Peer Reviewed
Volume 38
Issue 17
Public URL
Publisher URL


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