Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Analysis of soybean DNA methylomes shows CHH hypermethylation enhances gene expression in cotyledons of developing seeds [mRNA]

ABSTRACT: Cytosine methylation is an important mechanism for dynamical regulation of gene expression and transposon mobility during plant developmental processes. Recently, the variation of DNA methylation has been described between wild type and DNA methylation-related mutants in Arabidopsis thaliana. However, the elaborate representation of soybean DNA methylomes remains lacking. Here, we described the epigenome maps of soybean root, stem, leaf, and cotyledon of developing seed at a single-base resolution. We confirmed the transcription start sites of genes using high-throughput sequencing and reported the DNA methylation patterns in gene and transposon regions. The correlation between gene expression and DNA methylation was revealed through transcriptome sequencing. We found CHH methylation may function in promotion of gene expression and ten cotyledon-preferred genes were identified CHH hypermethylated in cotyledon. Small RNA library sequencing showed that DNA methylation was enhanced by small RNAs not by strand-specific way, and the variation of DNA methylation between the organs was highly related with expression of small RNAs. mRNA-Seq of roots, stems, leaves, and cotyledons of developing seeds

ORGANISM(S): Glycine max

SUBMITTER: Jinsong Zhang

PROVIDER: E-GEOD-34852 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Project description:DNA methylation stabilizes developmentally programmed gene expression states. Aberrant methylation is associated with disease progression and is a common feature of cancer genomes. Presently, few methods enable quantitative, large-scale, single-base resolution mapping of DNA methylation states in desired regions of a complex mammalian genome. Here, we present an approach that combines array-based hybrid selection and massively parallel bisulfite sequencing to profile DNA methylation in genomic regions spanning hundreds of thousands of bases. This single molecule strategy enables methylation variable positions to be quantitatively examined with high sampling precision. Using bisulfite capture, we assessed methylation patterns across 324 randomly selected CpG islands (CGI) representing more than 25,000 CpG sites. A single lane of Illumina sequencing permitted methylation states to be definitively called for >90% of target sties. The accuracy of the hybrid-selection approach was verified using conventional bisulfite capillary sequencing of cloned PCR products amplified from a subset of the selected regions. This confirmed that even partially methylated states could be successfully called. A comparison of human primary and cancer cells revealed multiple differentially methylated regions. More than 25% of islands showed complex methylation patterns either with partial methylation states defining the entire CGI or with contrasting methylation states appearing in specific regional blocks within the island. We observed that transitions in methylation state often correlate with genomic landmarks, including transcriptional start sites and intron-exon junctions. Methylation, along with specific histone marks, was enriched in exonic regions, suggesting that chromatin states can foreshadow the content of mature mRNAs. Keywords: DNA methylation profiling by massively parallel sequencing Keywords: Epigenetics Targeted examination of DNA methylation in two human cell types by combining array capture and bisulfite sequencing. In addition, this study examined two histone marks in the breast tumor cell line MDA-MB-231.