Literature DB >> 18999465

How Xenopus laevis embryos replicate reliably: investigating the random-completion problem.

Scott Cheng-Hsin Yang1, John Bechhoefer.   

Abstract

DNA synthesis in Xenopus frog embryos initiates stochastically in time at many sites (origins) along the chromosome. Stochastic initiation implies fluctuations in the time to complete and may lead to cell death if replication takes longer than the cell cycle time ( approximately 25 min) . Surprisingly, although the typical replication time is about 20 min , in vivo experiments show that replication fails to complete only about 1 in 300 times. How is replication timing accurately controlled despite the stochasticity? Biologists have proposed two solutions to this "random-completion problem." The first solution uses randomly located origins but increases their rate of initiation as S phase proceeds, while the second uses regularly spaced origins. In this paper, we investigate the random-completion problem using a type of model first developed to describe the kinetics of first-order phase transitions. Using methods from the field of extreme-value statistics, we derive the distribution of replication-completion times for a finite genome. We then argue that the biologists' first solution to the problem is not only consistent with experiment but also nearly optimizes the use of replicative proteins. We also show that spatial regularity in origin placement does not alter significantly the distribution of replication times and, thus, is not needed for the control of replication timing.

Entities:  

Mesh:

Year:  2008        PMID: 18999465     DOI: 10.1103/PhysRevE.78.041917

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  22 in total

1.  Genome wide decrease of DNA replication eye density at the midblastula transition of Xenopus laevis.

Authors:  Marie Platel; Hemalatha Narassimprakash; Diletta Ciardo; Olivier Haccard; Kathrin Marheineke
Journal:  Cell Cycle       Date:  2019-05-26       Impact factor: 4.534

Review 2.  DNA replication timing.

Authors:  Nicholas Rhind; David M Gilbert
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-08-01       Impact factor: 10.005

3.  Mathematical modelling of eukaryotic DNA replication.

Authors:  Olivier Hyrien; Arach Goldar
Journal:  Chromosome Res       Date:  2010-01       Impact factor: 5.239

4.  Reconciling stochastic origin firing with defined replication timing.

Authors:  Nicholas Rhind; Scott Cheng-Hsin Yang; John Bechhoefer
Journal:  Chromosome Res       Date:  2010-01       Impact factor: 5.239

Review 5.  Replication timing and its emergence from stochastic processes.

Authors:  John Bechhoefer; Nicholas Rhind
Journal:  Trends Genet       Date:  2012-04-18       Impact factor: 11.639

6.  Modeling genome-wide replication kinetics reveals a mechanism for regulation of replication timing.

Authors:  Scott Cheng-Hsin Yang; Nicholas Rhind; John Bechhoefer
Journal:  Mol Syst Biol       Date:  2010-08-24       Impact factor: 11.429

7.  Mathematical modelling of whole chromosome replication.

Authors:  Alessandro P S de Moura; Renata Retkute; Michelle Hawkins; Conrad A Nieduszynski
Journal:  Nucleic Acids Res       Date:  2010-05-10       Impact factor: 16.971

8.  Cell-to-cell variability and robustness in S-phase duration from genome replication kinetics.

Authors:  Qing Zhang; Federico Bassetti; Marco Gherardi; Marco Cosentino Lagomarsino
Journal:  Nucleic Acids Res       Date:  2017-08-21       Impact factor: 16.971

9.  Optimal placement of origins for DNA replication.

Authors:  Jens Karschau; J Julian Blow; Alessandro P S de Moura
Journal:  Phys Rev Lett       Date:  2012-01-30       Impact factor: 9.161

10.  Modeling inhomogeneous DNA replication kinetics.

Authors:  Michel G Gauthier; Paolo Norio; John Bechhoefer
Journal:  PLoS One       Date:  2012-03-07       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.