High-Resolution Replication Profiles Define the Stochastic Nature of Genome Replication Initiation and Termination

Michelle Hawkins, Renata Retkute, Carolin A. Müller, Nazan Saner, Tomoyuki U. Tanaka, Alessandro P. S. deMoura, Conrad A. Nieduszynski (Lead / Corresponding author)

    Research output: Contribution to journalArticlepeer-review

    53 Citations (Scopus)
    34 Downloads (Pure)


    Eukaryotic genome replication is stochastic, and each cell uses a different cohort of replication origins. We demonstrate that interpreting high-resolution Saccharomyces cerevisiae genome replication data with a mathematical model allows quantificationof the stochastic nature of genome replication, including the efficiency of each origin and the distribution of termination events. Single-cell measurements support the inferred values for stochastic origin activation time. A strain, in which three origins were inactivated, confirmed that the distribution of termination events is primarily dictated by the stochastic activation time of origins. Cell-to-cell variability in origin activity ensures that termination events are widely distributed across virtually the whole genome. We propose that the heterogeneity in origin usage contributes to genome stability by limiting potentially deleterious events from accumulating at particular loci

    Original languageEnglish
    Pages (from-to)1132-1141
    Number of pages10
    JournalCell Reports
    Issue number4
    Early online date7 Nov 2013
    Publication statusPublished - 27 Nov 2013

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)


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