2017
DOI: 10.1186/s13059-017-1206-2
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Proximal methylation features associated with nonrandom changes in gene body methylation

Abstract: BackgroundGene body methylation at CG dinucleotides is a widely conserved feature of methylated genomes but remains poorly understood. The Arabidopsis thaliana strain Cvi has depleted gene body methylation relative to the reference strain Col. Here, we leverage this natural epigenetic difference to investigate gene body methylation stability.ResultsRecombinant inbred lines derived from Col and Cvi were used to examine the transmission of distinct gene body methylation states. The vast majority of genic CG meth… Show more

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Cited by 33 publications
(30 citation statements)
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“…The CG-only DMRs often occurred within gene bodies and could reflect the somewhat unstable nature of gene body methylation (Schmitz et al 2013). There is little evidence that changes in gene body CG methylation influence expression levels (Bewick et al 2016;Bewick and Schmitz 2017;Picard and Gehring 2017). In contrast, CHG methylation levels are usually quite stable.…”
Section: Discussionmentioning
confidence: 99%
“…The CG-only DMRs often occurred within gene bodies and could reflect the somewhat unstable nature of gene body methylation (Schmitz et al 2013). There is little evidence that changes in gene body CG methylation influence expression levels (Bewick et al 2016;Bewick and Schmitz 2017;Picard and Gehring 2017). In contrast, CHG methylation levels are usually quite stable.…”
Section: Discussionmentioning
confidence: 99%
“…Previously, TSG methylation investigations usually focus on the promoter regions while exon‐derived methylation was scarcely discussed. Gene body methylation (GbM), embodying both promoter and exon regions and preferentially located in the exon of long and moderately expressed genes, is a widely observed trait of methylated eukaryotic genomes but remains poorly understood . Recently, GbM was found to frequently occur in oncogenic regulated genes including TSGs and altered the expression of these genes, this suggests it may be a therapeutic target in cancer .…”
Section: Discussionmentioning
confidence: 99%
“…Kernel density plots of cytosines from different clusters were generated using R. Bedtools intersect was used to determine the proportion of cytosines in each cluster overlapping TEs, genes, non-TE intergenic regions and pseudogenes according to the Araport 11 genome annotation. The methylation profile of sequences surrounding Type 1 or Type 2 cytosines was generated as described 30 .…”
Section: Methodsmentioning
confidence: 99%