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Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance

DNA methylation occurs predominantly on cytosine-phosphate-guanine (CpG) dinucleotides in the mammalian genome, and the methylation landscape is maintained over mitotic cell division. It has been posited that coupling of maintenance methylation activity among neighbouring CpGs is critical to stabili...

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Autores principales: Ren, Honglei, Taylor, Robert B., Downing, Timothy L., Read, Elizabeth L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597173/
https://www.ncbi.nlm.nih.gov/pubmed/36285438
http://dx.doi.org/10.1098/rsif.2022.0415
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author Ren, Honglei
Taylor, Robert B.
Downing, Timothy L.
Read, Elizabeth L.
author_facet Ren, Honglei
Taylor, Robert B.
Downing, Timothy L.
Read, Elizabeth L.
author_sort Ren, Honglei
collection PubMed
description DNA methylation occurs predominantly on cytosine-phosphate-guanine (CpG) dinucleotides in the mammalian genome, and the methylation landscape is maintained over mitotic cell division. It has been posited that coupling of maintenance methylation activity among neighbouring CpGs is critical to stability over cellular generations; however, the mechanism is unclear. We used mathematical models and stochastic simulation to analyse data from experiments that probe genome-wide methylation of nascent DNA post-replication in cells. We find that DNA methylation maintenance rates on individual CpGs are locally correlated, and the degree of this correlation varies by genomic regional context. By using theory of protein diffusion along DNA, we show that exponential decay of methylation rate correlation with genomic distance is consistent with enzyme processivity. Our results provide quantitative evidence of genome-wide methyltransferase processivity in vivo. We further developed a method to disentangle different mechanistic sources of kinetic correlations. From the experimental data, we estimate that an individual methyltransferase methylates neighbour CpGs processively if they are 36 basepairs apart, on average. But other mechanisms of coupling dominate for longer inter-CpG distances. Our study demonstrates that quantitative insights into enzymatic mechanisms can be obtained from replication-associated, cell-based genome-wide measurements, by combining data-driven statistical analyses with hypothesis-driven mathematical modelling.
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spelling pubmed-95971732022-10-26 Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance Ren, Honglei Taylor, Robert B. Downing, Timothy L. Read, Elizabeth L. J R Soc Interface Life Sciences–Physics interface DNA methylation occurs predominantly on cytosine-phosphate-guanine (CpG) dinucleotides in the mammalian genome, and the methylation landscape is maintained over mitotic cell division. It has been posited that coupling of maintenance methylation activity among neighbouring CpGs is critical to stability over cellular generations; however, the mechanism is unclear. We used mathematical models and stochastic simulation to analyse data from experiments that probe genome-wide methylation of nascent DNA post-replication in cells. We find that DNA methylation maintenance rates on individual CpGs are locally correlated, and the degree of this correlation varies by genomic regional context. By using theory of protein diffusion along DNA, we show that exponential decay of methylation rate correlation with genomic distance is consistent with enzyme processivity. Our results provide quantitative evidence of genome-wide methyltransferase processivity in vivo. We further developed a method to disentangle different mechanistic sources of kinetic correlations. From the experimental data, we estimate that an individual methyltransferase methylates neighbour CpGs processively if they are 36 basepairs apart, on average. But other mechanisms of coupling dominate for longer inter-CpG distances. Our study demonstrates that quantitative insights into enzymatic mechanisms can be obtained from replication-associated, cell-based genome-wide measurements, by combining data-driven statistical analyses with hypothesis-driven mathematical modelling. The Royal Society 2022-10-26 /pmc/articles/PMC9597173/ /pubmed/36285438 http://dx.doi.org/10.1098/rsif.2022.0415 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Physics interface
Ren, Honglei
Taylor, Robert B.
Downing, Timothy L.
Read, Elizabeth L.
Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance
title Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance
title_full Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance
title_fullStr Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance
title_full_unstemmed Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance
title_short Locally correlated kinetics of post-replication DNA methylation reveals processivity and region specificity in DNA methylation maintenance
title_sort locally correlated kinetics of post-replication dna methylation reveals processivity and region specificity in dna methylation maintenance
topic Life Sciences–Physics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597173/
https://www.ncbi.nlm.nih.gov/pubmed/36285438
http://dx.doi.org/10.1098/rsif.2022.0415
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