Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Highly integrated epigenome maps in Arabidopsis - whole genome shotgun bisulfite sequencing

ABSTRACT: Part of a set of highly integrated epigenome maps for Arabidopsis thaliana. Keywords: Illumina high-throughput bisulfite sequencing Whole genome shotgun bisulfite sequencing of wildtype Arabidopsis plants (Columbia-0), and met1, drm1 drm2 cmt3, and ros1 dml2 dml3 null mutants using the Illumina Genetic Analyzer.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Joseph Ecker

PROVIDER: E-GEOD-10966 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Highly integrated single-base resolution maps of the epigenome in Arabidopsis.

Lister Ryan R O'Malley Ronan C RC Tonti-Filippini Julian J Gregory Brian D BD Berry Charles C CC Millar A Harvey AH Ecker Joseph R JR

Cell 20080501 3

Deciphering the multiple layers of epigenetic regulation that control transcription is critical to understanding how plants develop and respond to their environment. Using sequencing-by-synthesis technology we directly sequenced the cytosine methylome (methylC-seq), transcriptome (mRNA-seq), and small RNA transcriptome (smRNA-seq) to generate highly integrated epigenome maps for wild-type Arabidopsis thaliana and mutants defective in DNA methyltransferase or demethylase activity. At single-base ...[more]

PMID: 18423832

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Project description:Whole genome shotgun bisulfite sequencing, small RNA sequencing and transcriptome sequencing of wildtype Arabidopsis plants (Col-0), and met1, drm1 drm2 cmt3, and ros1 dml2 dml3 null mutants using the Illumina Genetic Analyzer. A comparison was performed with regions of the genome containing cytosine DNA methylation identified by methylcytosine immunoprecipitation and whole-genome oligonucleotide tiling microarrays, for wildtype Col-0. Understanding the epigenetic regulatory mechanisms that mediate control of transcription at multiple levels is critical to understanding how plants develop and respond to their environment. We combined next-generation sequencing by synthesis (SBS) technology with novel methods for direct sequencing of the entire cytosine methylome (methylC-seq), transcriptome (RNA-seq), and the small RNA component of the transcriptome (smRNA-seq) to create a set of highly integrated epigenome maps for Arabidopsis thaliana, in conjunction with a set of informative mutants defective in DNA methyltransferase and DNA demethylase activity. At single-base resolution we discovered extensive, previously undetected, DNA methylation, identified the context and level of methylation at each site, and found that local composition has effects upon DNA methylation state. Deep sequencing of the smRNAome exposed a direct relationship between the location and abundance of smRNAs and DNA methylation, perturbation of smRNA biogenesis upon loss of CpG DNA methylation, and a tendency for smRNAs to direct strand-specific DNA methylation in the region of RNA-DNA homology. Finally, strand-specific RNA-seq revealed changes in the transcript abundance of hundreds of genes upon alteration of the DNA methylation state, and enabled the identification of numerous previously unidentified genes regulated by DNA methylation. Keywords: Whole genome shotgun bisulfite sequencing, small RNA sequencing, transcriptome sequencing, methylcytosine immunoprecipitation, whole-genome oligonucleotide tiling microarrays Whole genome shotgun bisulfite sequencing, small RNA sequencing and transcriptome sequencing of wildtype Arabidopsis plants (Col-0), and met1, drm1 drm2 cmt3, and ros1 dml2 dml3 null mutants using the Illumina Genetic Analyzer. A comparison was performed with regions of the genome containing cytosine DNA methylation identified by methylcytosine immunoprecipitation and whole-genome oligonucleotide tiling microarrays, for wildtype Col-0.

Dataset Information

Highly integrated epigenome maps in Arabidopsis - whole genome shotgun bisulfite sequencing

Publications

Highly integrated single-base resolution maps of the epigenome in Arabidopsis.

Similar Datasets

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