Characterization of functional relationships of R-loops with gene transcription and epigenetic modifications in rice

Genome Res. 2019 Aug;29(8):1287-1297. doi: 10.1101/gr.246009.118. Epub 2019 Jul 1.

Abstract

We conducted genome-wide identification of R-loops followed by integrative analyses of R-loops with relation to gene expression and epigenetic signatures in the rice genome. We found that the correlation between gene expression levels and profiled R-loop peak levels was dependent on the positions of R-loops within gene structures (hereafter named "genic position"). Both antisense only (ASO)-R-loops and sense/antisense (S/AS)-R-loops sharply peaked around transcription start sites (TSSs), and these peak levels corresponded positively with transcript levels of overlapping genes. In contrast, sense only (SO)-R-loops were generally spread over the coding regions, and their peak levels corresponded inversely to transcript levels of overlapping genes. In addition, integrative analyses of R-loop data with existing RNA-seq, chromatin immunoprecipitation sequencing (ChIP-seq), DNase I hypersensitive sites sequencing (DNase-seq), and whole-genome bisulfite sequencing (WGBS or BS-seq) data revealed interrelationships and intricate connections among R-loops, gene expression, and epigenetic signatures. Experimental validation provided evidence that the demethylation of both DNA and histone marks can influence R-loop peak levels on a genome-wide scale. This is the first study in plants that reveals novel functional aspects of R-loops, their interrelations with epigenetic methylation, and roles in transcriptional regulation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Epigenesis, Genetic*
  • Genome, Plant*
  • High-Throughput Nucleotide Sequencing
  • Histones / genetics
  • Histones / metabolism
  • Oryza / genetics*
  • Oryza / metabolism
  • Plant Proteins / genetics*
  • Plant Proteins / metabolism
  • R-Loop Structures*
  • RNA, Messenger / genetics
  • Transcription Initiation Site
  • Transcription, Genetic*
  • Whole Genome Sequencing

Substances

  • Histones
  • Plant Proteins
  • RNA, Messenger