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A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos

BACKGROUND: Eukaryotic cells seem unable to monitor replication completion during normal S phase, yet must ensure a reliable replication completion time. This is an acute problem in early Xenopus embryos since DNA replication origins are located and activated stochastically, leading to the random co...

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Autores principales: Goldar, Arach, Labit, Hélène, Marheineke, Kathrin, Hyrien, Olivier
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2488399/
https://www.ncbi.nlm.nih.gov/pubmed/18682801
http://dx.doi.org/10.1371/journal.pone.0002919
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author Goldar, Arach
Labit, Hélène
Marheineke, Kathrin
Hyrien, Olivier
author_facet Goldar, Arach
Labit, Hélène
Marheineke, Kathrin
Hyrien, Olivier
author_sort Goldar, Arach
collection PubMed
description BACKGROUND: Eukaryotic cells seem unable to monitor replication completion during normal S phase, yet must ensure a reliable replication completion time. This is an acute problem in early Xenopus embryos since DNA replication origins are located and activated stochastically, leading to the random completion problem. DNA combing, kinetic modelling and other studies using Xenopus egg extracts have suggested that potential origins are much more abundant than actual initiation events and that the time-dependent rate of initiation, I(t), markedly increases through S phase to ensure the rapid completion of unreplicated gaps and a narrow distribution of completion times. However, the molecular mechanism that underlies this increase has remained obscure. METHODOLOGY/PRINCIPAL FINDINGS: Using both previous and novel DNA combing data we have confirmed that I(t) increases through S phase but have also established that it progressively decreases before the end of S phase. To explore plausible biochemical scenarios that might explain these features, we have performed comparisons between numerical simulations and DNA combing data. Several simple models were tested: i) recycling of a limiting replication fork component from completed replicons; ii) time-dependent increase in origin efficiency; iii) time-dependent increase in availability of an initially limiting factor, e.g. by nuclear import. None of these potential mechanisms could on its own account for the data. We propose a model that combines time-dependent changes in availability of a replication factor and a fork-density dependent affinity of this factor for potential origins. This novel model quantitatively and robustly accounted for the observed changes in initiation rate and fork density. CONCLUSIONS/SIGNIFICANCE: This work provides a refined temporal profile of replication initiation rates and a robust, dynamic model that quantitatively explains replication origin usage during early embryonic S phase. These results have significant implications for the organisation of replication origins in higher eukaryotes.
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spelling pubmed-24883992008-08-06 A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos Goldar, Arach Labit, Hélène Marheineke, Kathrin Hyrien, Olivier PLoS One Research Article BACKGROUND: Eukaryotic cells seem unable to monitor replication completion during normal S phase, yet must ensure a reliable replication completion time. This is an acute problem in early Xenopus embryos since DNA replication origins are located and activated stochastically, leading to the random completion problem. DNA combing, kinetic modelling and other studies using Xenopus egg extracts have suggested that potential origins are much more abundant than actual initiation events and that the time-dependent rate of initiation, I(t), markedly increases through S phase to ensure the rapid completion of unreplicated gaps and a narrow distribution of completion times. However, the molecular mechanism that underlies this increase has remained obscure. METHODOLOGY/PRINCIPAL FINDINGS: Using both previous and novel DNA combing data we have confirmed that I(t) increases through S phase but have also established that it progressively decreases before the end of S phase. To explore plausible biochemical scenarios that might explain these features, we have performed comparisons between numerical simulations and DNA combing data. Several simple models were tested: i) recycling of a limiting replication fork component from completed replicons; ii) time-dependent increase in origin efficiency; iii) time-dependent increase in availability of an initially limiting factor, e.g. by nuclear import. None of these potential mechanisms could on its own account for the data. We propose a model that combines time-dependent changes in availability of a replication factor and a fork-density dependent affinity of this factor for potential origins. This novel model quantitatively and robustly accounted for the observed changes in initiation rate and fork density. CONCLUSIONS/SIGNIFICANCE: This work provides a refined temporal profile of replication initiation rates and a robust, dynamic model that quantitatively explains replication origin usage during early embryonic S phase. These results have significant implications for the organisation of replication origins in higher eukaryotes. Public Library of Science 2008-08-06 /pmc/articles/PMC2488399/ /pubmed/18682801 http://dx.doi.org/10.1371/journal.pone.0002919 Text en Goldar et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Goldar, Arach
Labit, Hélène
Marheineke, Kathrin
Hyrien, Olivier
A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
title A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
title_full A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
title_fullStr A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
title_full_unstemmed A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
title_short A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
title_sort dynamic stochastic model for dna replication initiation in early embryos
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2488399/
https://www.ncbi.nlm.nih.gov/pubmed/18682801
http://dx.doi.org/10.1371/journal.pone.0002919
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