Dataset Information

A quantitative model of MET1-catalyzed establishment and epigenetic inheritance of DNA methylation

ABSTRACT: Methylation of CG dinucleotides (mCG), which regulates genome function in eukaryotes, is epigenetically propagated by Dnmt1/MET1 methyltransferases via a semiconservative mechanism. How these enzymes accomplish stable epigenetic inheritance despite imperfect fidelity remains mysterious. Here we show that MET1 de novo activity, which is enhanced by existing proximate methylation, seeds and stabilizes mCG in Arabidopsis thaliana genes. MET1 activity is delimited by active DNA demethylation and counterbalanced by histone variant H2A.Z, natural variation in which accounts for high genic methylation in accessions from northern Sweden. Based on these observations, we develop a mathematical model that precisely recapitulates mCG inheritance dynamics and successfully predicts steady-state intragenic mCG patterns and their population-scale variation given only CG site spacing as input. Our results demonstrate how methylation patterns are created in plant genes, reconcile imperfect mCG maintenance with long-term stability, and establish a quantitative model for the epigenetic inheritance of mCG.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE204837 | GEO | 2023/11/13

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Maintenance of CG methylation (mCG) patterns is essential for chromatin-mediated epigenetic regulation of transcription in plants and mammals. Using successive generations of an Arabidopsis thaliana mutant deficient in maintaining mCG, we found that mCG loss triggered genome-wide activation of alternative epigenetic mechanisms. However, these mechanisms involving RNA-directed DNA methylation, inhibiting expression of DNA demethylases, and retargeting of histone H3K9 methylation act in a stochastic and uncoordinated fashion. As a result, new and aberrant epigenetic patterns were progressively formed over several plant generations in the absence of mCG. Interestingly, the unconventional redistribution of epigenetic marks was necessary to ârescueâ the loss of mCG, since mutant plants impaired in rescue activities were severely dwarfed and sterile. Our results provide evidence that mCG is a central coordinator of epigenetic memory that secures stable transgenerational inheritance in plants. Experiment Overall Design: Per entry, two biological replicates of leaf tissue (approx. 12th true leaf) from 9-12 plants were frozen in liquid nitrogen. DNA was CTAB extracted and isopropanol precipitated, RNase A and Proteinase K treated, re-extracted and ethanol precipitated. Two replicate 3 Âµg genomic DNA samples of 2nd generation met1-3, 4th generation met1-3 and Col-0 were sheared by sonication and methylated DNA was immunoprecipitated, as previously described (Weber et al., 2005), and amplified following the chromatin immunoprecipitation assay protocol (Affymetrix). Two replicates per entry with 7.5 Âµg DNA were fragmented; end labeled, and hybridized on Affymetrix ATH1 arrays as recommended (Affymetrix). Microarray data analysis was performed using the following procedure. First, background adjustments were made using the gcRMA method available in the Bioconductor package of R. Next, background-adjusted values from the six ATH1 datasets were quantile normalized and average signal intensities were determined in log2 scale per probe set. Experiment Overall Design: Contrast coefficient ratios for all pair-wise comparisons were calculated as follows: met1-3 2nd/Col-0, met1-3 4th/Col-0, and met1-3 4th/met1-3 2nd. Corrections for multiple comparisons at the 5% false discovery rate (FDR) were performed and significant differences were detected using Fisherâs test. Contrast coefficient ratios and p values may be found in the Supplementary file at the foot of this record. For each probe set, three outcomes (significantly hypermethylated, no difference, and significantly hypomethylated) were possible per comparison, creating 27 possible methylation profiles analyzed at the 5% FDR level.

Dataset Information

A quantitative model of MET1-catalyzed establishment and epigenetic inheritance of DNA methylation

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets