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Region-level epimutation rates in Arabidopsis thaliana

Failure to maintain DNA methylation patterns during plant development can occasionally give rise to so-called “spontaneous epimutations”. These stochastic methylation changes are sometimes heritable across generations and thus accumulate in plant genomes over time. Recent evidence indicates that spo...

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Autores principales: Denkena, Johanna, Johannes, Frank, Colomé-Tatché, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322157/
https://www.ncbi.nlm.nih.gov/pubmed/33966050
http://dx.doi.org/10.1038/s41437-021-00441-w
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author Denkena, Johanna
Johannes, Frank
Colomé-Tatché, Maria
author_facet Denkena, Johanna
Johannes, Frank
Colomé-Tatché, Maria
author_sort Denkena, Johanna
collection PubMed
description Failure to maintain DNA methylation patterns during plant development can occasionally give rise to so-called “spontaneous epimutations”. These stochastic methylation changes are sometimes heritable across generations and thus accumulate in plant genomes over time. Recent evidence indicates that spontaneous epimutations have a major role in shaping patterns of methylation diversity in plant populations. Using single CG dinucleotides as units of analysis, previous work has shown that the epimutation rate is several orders of magnitude higher than the genetic mutation rate. While these large rate differences have obvious implications for understanding genome-methylome co-evolution, the functional relevance of single CG methylation changes remains questionable. In contrast to single CG, solid experimental evidence has linked methylation gains and losses in larger genomic regions with transcriptional variation and heritable phenotypic effects. Here we show that such region-level changes arise stochastically at about the same rate as those at individual CG sites, are only marginal dependent on region size and cytosine density, but strongly dependent on chromosomal location. We also find consistent evidence that region-level epimutations are not restricted to CG contexts but also frequently occur in non-CG regions at the genome-wide scale. Taken together, our results support the view that many differentially methylated regions (DMRs) in natural populations originate from epimutation events and may not be effectively tagged by proximal SNPs. This possibility reinforces the need for epigenome-wide association studies (EWAS) in plants as a way to identify the epigenetic basis of complex traits.
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spelling pubmed-83221572021-08-02 Region-level epimutation rates in Arabidopsis thaliana Denkena, Johanna Johannes, Frank Colomé-Tatché, Maria Heredity (Edinb) Article Failure to maintain DNA methylation patterns during plant development can occasionally give rise to so-called “spontaneous epimutations”. These stochastic methylation changes are sometimes heritable across generations and thus accumulate in plant genomes over time. Recent evidence indicates that spontaneous epimutations have a major role in shaping patterns of methylation diversity in plant populations. Using single CG dinucleotides as units of analysis, previous work has shown that the epimutation rate is several orders of magnitude higher than the genetic mutation rate. While these large rate differences have obvious implications for understanding genome-methylome co-evolution, the functional relevance of single CG methylation changes remains questionable. In contrast to single CG, solid experimental evidence has linked methylation gains and losses in larger genomic regions with transcriptional variation and heritable phenotypic effects. Here we show that such region-level changes arise stochastically at about the same rate as those at individual CG sites, are only marginal dependent on region size and cytosine density, but strongly dependent on chromosomal location. We also find consistent evidence that region-level epimutations are not restricted to CG contexts but also frequently occur in non-CG regions at the genome-wide scale. Taken together, our results support the view that many differentially methylated regions (DMRs) in natural populations originate from epimutation events and may not be effectively tagged by proximal SNPs. This possibility reinforces the need for epigenome-wide association studies (EWAS) in plants as a way to identify the epigenetic basis of complex traits. Springer International Publishing 2021-05-08 2021-08 /pmc/articles/PMC8322157/ /pubmed/33966050 http://dx.doi.org/10.1038/s41437-021-00441-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Denkena, Johanna
Johannes, Frank
Colomé-Tatché, Maria
Region-level epimutation rates in Arabidopsis thaliana
title Region-level epimutation rates in Arabidopsis thaliana
title_full Region-level epimutation rates in Arabidopsis thaliana
title_fullStr Region-level epimutation rates in Arabidopsis thaliana
title_full_unstemmed Region-level epimutation rates in Arabidopsis thaliana
title_short Region-level epimutation rates in Arabidopsis thaliana
title_sort region-level epimutation rates in arabidopsis thaliana
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322157/
https://www.ncbi.nlm.nih.gov/pubmed/33966050
http://dx.doi.org/10.1038/s41437-021-00441-w
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