High-resolution replication profiles define the stochastic nature of genome replication initiation and termination.
High-resolution replication profiles define the stochastic nature of genome replication initiation and termination.
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DOI:
10.1016/j.celrep.2013.10.014
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发表时间:
2013-11-27
期刊:
影响因子:
8.8
通讯作者:
Nieduszynski CA
中科院分区:
文献类型:
--
作者:
Hawkins M;Retkute R;Müller CA;Saner N;Tanaka TU;de Moura AP;Nieduszynski CA
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 quantification of 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. Deep sequencing reveals a high-resolution view of genome replication dynamics Genome-wide modeling and single-cell imaging reveal stochastic origin activity Origin activity determines the location of replication termination events Termination events are widely distributed across the whole genome Little is known about what determines the genomic location of DNA replication termination sites. In this study, Nieduszynski and colleagues show that genome replication is highly variable between cells within a population. This variability arises from stochastic origin activity and results in replication termination sites being widely distributed across virtually the whole genome. The variability between cells in genome replication may contribute to genome stability by limiting potentially deleterious events from accumulating at specific loci.
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