Genetic effects on non-CG DNA methylation [Methyl-C-seq]
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ABSTRACT:
PROVIDER: PRJNA800441 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17742468_1.fastq.gz | Fastqsanger.gz | |||
| SRR17742468_2.fastq.gz | Fastqsanger.gz | |||
| SRR17742469_1.fastq.gz | Fastqsanger.gz | |||
| SRR17742469_2.fastq.gz | Fastqsanger.gz | |||
| SRR17742470_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Genetic effects on non-CG DNA methylation [Methyl-C-seq]
| PRJNA800441 | ENA
Project description:Genetic effects on non-CG DNA methylation
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Project description:Genetic effects on non-CG DNA methylation [RNA-seq]
| PRJNA800440 | ENA
Project description:The epigenome, in particular variation of DNA methylation profiles across individuals, has long been of interest as a modifier of the genetic code, with “mutations” reflecting past environments, stochastic events, or genetic regulation. To address this issue, we dissected an inherited epigenetics mark, mCHG methylation, using conditional GWAS approaches in Arabidopsis thaliana. Our study revealed the genome-wide mCHG levels largely share the variation with de novo methylation and are under the control of major trans-modifiers, including the key regulators CMT2, CMT3, MIR823A, and a novel regulator JMJ26 that specifically regulated RdDM-targeted TEs.
2022-02-14 | GSE194404 | GEO
Project description:Cytosine methylation is commonly targeted to symmetrical CG sites, as well as to non-CGs, such as the symmetrical-CHG and asymmetric-CHH sites in plants (H= A, C or T). Thus far, depletion of CG methylation in plants was associated with ample transcriptional activation of transposons. Here, we profiled transcription in various context specific methylation mutants in the early-diverged plant, Physcomitrella patens. We discovered that specific elimination of CG methylation is fully complemented by non-CG methylation but not vice versa. Between the symmetrically-methylated sites, CHG methylation silenced transposons stronger than CG methylation did. Finally, non-CG methylation revealed as crucial for the silencing of CG depleted transposons. Our results suggest that non-CG methylation evolved to silence transposons due to functional limitations and/or rapid mutability of methylated-CGs.
2020-12-30 | GSE142053 | GEO
Project description:Cytosine methylation is commonly targeted to symmetrical CG sites, as well as to non-CGs, such as the symmetrical-CHG and asymmetric-CHH sites in plants (H= A, C or T). Thus far, depletion of CG methylation in plants was associated with ample transcriptional activation of transposons. Here, we profiled transcription in various context specific methylation mutants in the early-diverged plant, Physcomitrella patens. We discovered that specific elimination of CG methylation is fully complemented by non-CG methylation but not vice versa. Between the symmetrically-methylated sites, CHG methylation silenced transposons stronger than CG methylation did. Finally, non-CG methylation revealed as crucial for the silencing of CG depleted transposons. Our results suggest that non-CG methylation evolved to silence transposons due to functional limitations and/or rapid mutability of methylated-CGs.
2020-12-30 | GSE142052 | GEO
Project description:Cytosine methylation is commonly targeted to symmetrical CG sites, as well as to non-CGs, such as the symmetrical-CHG and asymmetric-CHH sites in plants (H= A, C or T). Thus far, depletion of CG methylation in plants was associated with ample transcriptional activation of transposons. Here, we profiled transcription in various context specific methylation mutants in the early-diverged plant, Physcomitrella patens. We discovered that specific elimination of CG methylation is fully complemented by non-CG methylation but not vice versa. Between the symmetrically-methylated sites, CHG methylation silenced transposons stronger than CG methylation did. Finally, non-CG methylation revealed as crucial for the silencing of CG depleted transposons. Our results suggest that non-CG methylation evolved to silence transposons due to functional limitations and/or rapid mutability of methylated-CGs.
2020-12-30 | GSE142051 | GEO
Project description:Vertebrate genomes exhibit marked CG-suppression, that is lower than expected numbers of 5’-CG-3’ dinucleotides1. This feature is likely due to C-to-T mutations that have accumulated over hundreds of millions of years, driven by CG-specific DNA methyl transferases and spontaneous methyl-cytosine deamination. Remarkably, many RNA viruses of vertebrates that are not substrates for DNA methyl transferases mimic the CG-suppression of their hosts2-4. This striking property of viral genomes is unexplained4-6. In a synonymous mutagenesis experiment, we found that CG-suppression is essential for HIV-1 replication. The deleterious effect of CG dinucleotides on HIV-1 replication was cumulative, evident as cytoplasmic RNA depletion, and exerted by CG dinucleotides in both translated and non-translated exonic RNA sequences. A focused siRNA screen revealed that zinc finger antiviral protein (ZAP)7 inhibited virion production by cells infected with CG-enriched HIV-1. Crucially, HIV-1 mutants containing segments whose CG-content mimicked random sequence were defective in unmanipulated cells, but replicated normally in ZAP-deficient cells. Crosslinking-immunoprecipitation-sequencing assays demonstrated that ZAP binds directly and selectively to RNA sequences containing CG dinucleotides. These findings suggest that ZAP exploits host CG-suppression to discriminate non-self RNA. The dinucleotide composition of HIV-1, and perhaps other RNA viruses, appears to have adapted to evade this host defense.
2017-08-22 | GSE102843 | GEO
Project description:DNA methylation occurs in both CG and non-CG sequence contexts. Non-CG methylation is abundant in plants, and is mediated by CHROMOMETHYLASE (CMT) and DOMAINS REARRANGED METHYLTRANSFERASE (DRM) proteins; however its roles remain poorly understood. Here we characterize the roles of non-CG methylation in Arabidopsis thaliana. We show that a poorly characterized methyltransferase, CMT2, is a functional methyltransferase in vitro and in vivo. CMT2 specifically binds histone H3 lysine 9 (H3K9) dimethylation and methylates non-CG cytosines at sites that are also regulated by H3K9 dimethylation. By generating different combinations of non-CG methylation mutants, we reveal the contributions and redundancies between each methyltransferase in DNA methylation patterning and in regulating transposable elements (TEs) and protein-coding genes. We also demonstrate extensive dependencies of small RNA accumulation and H3K9 methylation patterning on non-CG methylation, suggesting self-reinforcing mechanisms between these epigenetic factors. The results suggest that non-CG methylation patterns are critical in shaping the histone modification and small non-coding RNA landscapes.
2013-12-15 | GSE51304 | GEO
Project description:DNA methylation occurs in both CG and non-CG sequence contexts. Non-CG methylation is abundant in plants, and is mediated by CHROMOMETHYLASE (CMT) and DOMAINS REARRANGED METHYLTRANSFERASE (DRM) proteins; however its roles remain poorly understood. Here we characterize the roles of non-CG methylation in Arabidopsis thaliana. We show that a poorly characterized methyltransferase, CMT2, is a functional methyltransferase in vitro and in vivo. CMT2 specifically binds histone H3 lysine 9 (H3K9) dimethylation and methylates non-CG cytosines at sites that are also regulated by H3K9 dimethylation. By generating different combinations of non-CG methylation mutants, we reveal the contributions and redundancies between each methyltransferase in DNA methylation patterning and in regulating transposable elements (TEs) and protein-coding genes. We also demonstrate extensive dependencies of small RNA accumulation and H3K9 methylation patterning on non-CG methylation, suggesting self-reinforcing mechanisms between these epigenetic factors. The results suggest that non-CG methylation patterns are critical in shaping the histone modification and small non-coding RNA landscapes. Eighteen mRNA-seq samples, five smRNA-seq samples, five bisulfite-seq samples, twenty ChIP-seq samples. Bisulfite-seq data for cmt2-7 single mutants, cmt3 single mutants, drm1/2 double mutants, drm1/2 cmt3 triple mutants are deposited in GSE39901. Processed wiggle format files for all datasets can be downloaded at http://genomes.mcdb.ucla.edu/AthBSseq/
2013-12-15 | E-GEOD-51304 | biostudies-arrayexpress