Sign in
Systems BiologyMolecular Biology of the Cell
Peer-reviewed journal article

Computational modelling of chromosome re-replication in mutant strains of fission yeast

Béla NovákiD, John J. TysoniD

Abstract

Typically cells replicate their genome only once per division cycle, but under some circumstances, both natural and unnatural, cells synthesize an overabundance of DNA, either in a disorganized fashion ( over-replication) or by a systematic doubling of chromosome number ( endoreplication). These variations on the theme of DNA replication and division have been studied in strains of fission yeast, Schizosaccharomyces pombe, carrying mutations that interfere with the function of mitotic cyclin-dependent kinase (Cdk1:Cdc13) without impeding the roles of DNA-replication licensing factor (Cdc18) and S-phase cyclin-dependent kinase (Cdk1:Cig2). Some of these mutations support endoreplication, and some over-replication. In this paper, we propose a dynamical model of the interactions among the proteins governing DNA replication and cell division in fission yeast. By computational simulations of the mathematical model, we account for the observed phenotypes of these re-replicating mutants, and by theoretical analysis of the dynamical system, we provide insight into the molecular distinctions between over-replicating and endoreplicating cells. In case of induced over-production of regulatory proteins, our model predicts that cells first switch from normal mitotic cell cycles to growth-controlled endoreplication, and ultimately to disorganized over-replication, parallel to the slow increase of protein to very high levels.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
1
FWCI
0.08
Field percentile
30th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSingh '21Berners-Lee '25Fu '21Taoma '24Yousefi '19Windhager '22
64% semantic matchSystems Biology
Ghanendra Singh·bioRxiv·Oct 3, 2021