High-resolution replication profiles define the stochastic nature of genome replication initiation and termination
Hawkins, Michelle; Retkute, Renata; Müller, Carolin A.; Saner, Nazan; Tanaka, Tomoyuki U.; de Moura, Alessandro P.S.; Nieduszynski, Conrad A.
Carolin A. Müller
Tomoyuki U. Tanaka
Alessandro P.S. de Moura
Conrad A. Nieduszynski
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.
Hawkins, M., Retkute, R., Müller, C. A., Saner, N., Tanaka, T. U., de Moura, A. P., & Nieduszynski, C. A. (2013). High-resolution replication profiles define the stochastic nature of genome replication initiation and termination. Cell Reports, 5(4), https://doi.org/10.1016/j.celrep.2013.10.014
|Journal Article Type||Article|
|Publication Date||Nov 7, 2013|
|Deposit Date||Apr 15, 2014|
|Publicly Available Date||Apr 15, 2014|
|Publisher||Elsevier (Cell Press)|
|Peer Reviewed||Peer Reviewed|
|Copyright Statement||Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0|
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0