Mathematical modelling of whole chromosome replication.

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

Nucleic Acids Res. (2010), 38(17):5623-33PDF | PubMed | PubMed Central | Nucleic Acids Res.

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.

Our publications

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DNA replication timing influences gene expression level.
Müller & Nieduszynski (2017)
J. Cell Biol., 216(7):1907-1914

Deep functional analysis of synII, a 770-kilobase synthetic yeast chromosome.
Shen et al. (2017)
Science, 355(6329):


Discovery of an Unconventional Centromere in Budding Yeast Redefines Evolution of Point Centromeres.
Kobayashi et al. (2015)
Curr. Biol., 25(15):2026-33

A global profile of replicative polymerase usage.
Daigaku et al. (2015)
Nat. Struct. Mol. Biol., 22(3):192-8


The dynamics of genome replication using deep sequencing.
Müller et al. (2014)
Nucleic Acids Res., 42(1):e3


High-resolution replication profiles define the stochastic nature of genome replication initiation and termination.
Hawkins et al. (2013)
Cell Rep, 5(4):1132-41

Accelerated growth in the absence of DNA replication origins.
Hawkins et al. (2013)
Nature, 503(7477):544-547

Stochastic association of neighboring replicons creates replication factories in budding yeast.
Saner et al. (2013)
J. Cell Biol., 202(7):1001-1012

A Link between ORC-origin binding mechanisms and origin activation time revealed in budding yeast.
Hoggard et al. (2013)
PLoS Genet., 9(9):e1003798

Replisome stall events have shaped the distribution of replication origins in the genomes of yeasts.
Newman et al. (2013)
Nucleic Acids Res., 41(21):9705-18

Avoiding chromosome pathology when replication forks collide.
Rudolph et al. (2013)
Nature, 500(7464):608-11

Kinetochores coordinate pericentromeric cohesion and early DNA replication by cdc7-dbf4 kinase recruitment.
Natsume et al. (2013)
Mol. Cell, 50(5):661-74

High quality de novo sequencing and assembly of the Saccharomyces arboricolus genome.
Liti et al. (2013)
BMC Genomics, 14():69


Mathematical modeling of genome replication.
Retkute et al. (2012)
Phys Rev E Stat Nonlin Soft Matter Phys, 86(3 Pt 1):031916

Conservation of replication timing reveals global and local regulation of replication origin activity.
Müller & Nieduszynski (2012)
Genome Res., 22(10):1953-62

A putative homologue of CDC20/CDH1 in the malaria parasite is essential for male gamete development.
Guttery et al. (2012)
PLoS Pathog., 8(2):e1002554


OriDB, the DNA replication origin database updated and extended.
Siow et al. (2011)
Nucleic Acids Res., 40(Database issue):D682-6

Dynamics of DNA replication in yeast.
Retkute et al. (2011)
Phys. Rev. Lett., 107(6):068103

Comparative functional genomics of the fission yeasts.
Rhind et al. (2011)
Science, 332(6032):930-6

From sequence to function: Insights from natural variation in budding yeasts.
Nieduszynski & Liti (2011)
Biochim. Biophys. Acta, 1810(10):959-66


Mathematical modelling of whole chromosome replication.
de Moura et al. (2010)
Nucleic Acids Res., 38(17):5623-33


The origin recognition complex interacts with a subset of metabolic genes tightly linked to origins of replication.
Shor et al. (2009)
PLoS Genet., 5(12):e1000755

Detection of replication origins using comparative genomics and recombinational ARS assay.
Nieduszynski & Donaldson (2009)
Methods Mol. Biol., 521():295-313


Analysis of chromosome III replicators reveals an unusual structure for the ARS318 silencer origin and a conserved WTW sequence within the origin recognition complex binding site.
Chang et al. (2008)
Mol. Cell. Biol., 28(16):5071-81


OriDB: a DNA replication origin database.
Nieduszynski et al. (2006)
Nucleic Acids Res., 35(Database issue):D40-6

Genome-wide identification of replication origins in yeast by comparative genomics.
Nieduszynski et al. (2006)
Genes Dev., 20(14):1874-9


The requirement of yeast replication origins for pre-replication complex proteins is modulated by transcription.
Nieduszynski et al. (2005)
Nucleic Acids Res., 33(8):2410-20


The cyclin A1-CDK2 complex regulates DNA double-strand break repair.
Müller-Tidow et al. (2004)
Mol. Cell. Biol., 24(20):8917-28

Cyclin A1 protein shows haplo-insufficiency for normal fertility in male mice.
van der Meer et al. (2004)
Reproduction, 127(4):503-11


Whole-genome analysis of animal A- and B-type cyclins.
Nieduszynski et al. (2002)
Genome Biol., 3(12):RESEARCH0070

Ku complex controls the replication time of DNA in telomere regions.
Cosgrove et al. (2002)
Genes Dev., 16(19):2485-90

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