Project description:Here, we use dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) to conduct a target-specific and genome-wide profile of in vivo RNA secondary structure in rice (Oryza sativa). Our study presents an optimized DMS-MaPseq for probing in vivo RNA structure in rice.
Project description:We used the Structure-seq2 protocol and applied it to 14-day-old rice (Oryza sativa) shoot tissue for genome-wide RNA structure probing to investigate the effect of heat stress on the RNA structurome.
Project description:This research reports genome-wide measurements of genetic and epigenetic patterns of inheritance through an integrative analysis of BS-seq, RNA-seq, and siRNA-seq data in two inbred parents of the Nipponbare (NPB) and Indica (93-11) variety of rice and their hybrid offspring. We generated integrative maps of whole genome cytosine methylation profiles (BS-Seq), transcriptional profiles (RNA-seq), and small RNA profiles (sRNA-seq) to characterize two rice subspecies, Oryza sativa spp japonica (Nipponbare) and Oryza sativa spp indica (93-11) and their two reciprocal hybrid offspring using Illumina's sequencing-by-synthesis (SBS) platform .
Project description:Os02g31890 encodes a dehydration-responsive transcription factor (named ´ARID´) from rice (Oryza sativa, cv. Dongjin). Expression profiling was performed 90 min after the start of dehydration stress in roots of Oryza sativa wild-type plants (cv. Dongjin) and a knock-out (i.e. arid) mutant.
Project description:Purpose: The goal of our study is to compare two different ecotypes of Oryza sativa L., PHS-susceptible rice trait and PHS-resistant rice trait under three different maturation stages in rice seed embryo with profile of miRNA-seq. Methods: Oryza sativa. L miRNA profiles of two different ecotypes with 3 different maturation stages of rice seed embryo were generated by NGS, in duplicate, following Illumina NGS workflow. Results: We found the differentially expressed microRNAs between PHS-susceptible rice trait and PHS-resistant rice trait according to the three different seed maturation stages. Target transcripts of differentially expressed microRNAs have been predicted via psRNATarget web server, and a part of those target genes are likely to be regulated by microRNAs, affecting overall responses to heat stress and the regulation of seed dormancy during maturation. Conclusions: Our study represents the analysis of rice seed small RNAs, specifically microRNAs, under two different ecotypes, three different seed maturation stages in rice seed embryo. Our results show that microRNAs are involved in response to heat stress and the regulation of seed dormancy. This study will provide a foundation for understanding dynamics of seed dormancy during the seed development and overcoming pre-harvest sprouting.
Project description:This SuperSeries is composed of the following subset Series: GSE16140: Transcriptome analysis of rice (Oryza sativa cv.TW16) in relation to infection with rice tungro spherical virus (RTSV) GSE16141: Transcriptome analysis of rice (Oryza sativa cv. Taichung Native 1) in relation to infection with RTSV Refer to individual Series
Project description:Upper and lower parts (flanks) of rice (Oryza sativa sp. japonica) shoot bases at 0.5 h and 6 h after gravistimulation was used for expression analysis in control and gravistimulated samples.Targets from biological replicates of both control and gravistimulated samples were generated and expression profiles were determined Affymetrix Rice Genome arrays.
Project description:To examine the rice genome methylation landscape and assess its functional significance, we generated the first single-base resolution genome methylation maps for Oryza sativa ssp. japonica, indica and their wild relatives, Oryza rufipogon and Oryza nivara. The methylation level of rice genomes is four times higher than that of Arabidopsis. Methylation in the promoter and gene body regions have similar patterns and effects on gene expression as those in Arabidopsis but different from a previous study on rice chromosomes 4 and 10. Most interestingly, we discovered for the first time that methylation in gene transcriptional termination regions can significantly repress gene expression, and the effect is even stronger than promoter methylation, which opens a new direction in the study of epigenetic regulation of gene expressions. Through integrated analysis of genetic, methylome and expression variation between cultivated and wild rice, we found that the genetic factor reflected by DNA variations may be the major determinant for methylation patterns at the whole-genome level and that methylation variation can only account for limited expression variation of genes between cultivated and wild rice.