Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Unique cell-type specific patterns of DNA methylation in the root meristem (MethylC-seq)


ABSTRACT: DNA methylation is an epigenetic modification that differs between plant organs and tissues, but the extent of variation between cell types is not known. Here, we report single-base resolution whole genome DNA methylomes, mRNA transcriptomes, and small RNA transcriptomes for six cell populations covering the major cell types of the Arabidopsis root meristem. We identify widespread cell type specific patterns of DNA methylation, especially in the CHH sequence context. The genome of the columella root cap is the most highly methylated Arabidopsis cell characterized to date. It is hypermethylated within transposable elements, accompanied by increased abundance of transcripts encoding RNA-directed DNA methylation (RdDM) pathway components and 24 nt small RNAs. Absence of the nucleosome remodeler DECREASED DNA METHYLATION 1, required for maintenance of DNA methylation, and low abundance of histone transcripts involved in heterochromatin formation suggests a loss of heterochromatin may occur in the columella, thus allowing access of RdDM factors to the whole genome, and producing excess 24 nt small RNAs in this tissue. Together, these maps provide new insights into the epigenomic diversity that exists between distinct plant somatic cell types. MethylC-seq from six cell populations covering the major cell types of the Arabidopsis root meristem.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Joseph Ecker 

PROVIDER: E-GEOD-79708 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2016-03-31 | E-GEOD-79709 | biostudies-arrayexpress
2016-03-31 | GSE79709 | GEO
2016-03-31 | GSE79708 | GEO
2016-11-07 | E-MTAB-3755 | biostudies-arrayexpress
2016-07-31 | GSE63474 | GEO
2021-07-02 | PXD026674 | Pride
2016-07-31 | E-GEOD-63474 | biostudies-arrayexpress
2023-06-10 | PXD039991 | Pride
2016-01-04 | E-MTAB-3473 | biostudies-arrayexpress
2023-06-08 | GSE200917 | GEO