Differential deposition of H2A.Z in rice seedling tissue during the day-night cycle

The Genome-Wide EMS Mutagenesis Bias Correlates With Sequence Context and Chromatin Structure in Rice

Ethyl methanesulfonate (EMS) is a chemical mutagen believed to mainly induce G/C to A/T transitions randomly in plant genomes. However, mutant screening for phenotypes often gets multiple alleles for one gene but no mutant for other genes. We investigated the potential EMS mutagenesis bias and the possible correlations with sequence context and chromatin structure using the whole genome resequencing data collected from 52 rice EMS mutants. We defined the EMS-induced single nucleotide polymorphic sites (SNPs) and explored the genomic factors associated with EMS mutagenesis bias. Compared with natural SNPs presented in the Rice3K project, EMS showed a preference on G/C sites with flanking sequences also higher in GC contents. The composition of local dinucleotides and trinucleotides was also associated with the efficiency of EMS mutagenesis. The biased distribution of EMS-induced SNPs was positively correlated with CpG numbers, transposable element contents, and repressive epigenetic markers but negatively with gene expression, the euchromatin marker DNase I hypersensitive sites, and active epigenetic markers, suggesting that sequence context and chromatin structure might correlate with the efficiency of EMS mutagenesis. Exploring the genome-wide features of EMS mutagenesis and correlations with epigenetic modifications will help in the understanding of DNA repair mechanism.

Systematic Analysis of Differential H3K27me3 and H3K4me3 Deposition in Callus and Seedling Reveals the Epigenetic Regulatory Mechanisms Involved in Callus Formation in Rice

Plant growth and development occurs through meristematic cell activity, and cell fate transition is accompanied by epigenetic modifications. Callus with cell pluripotency exhibits the ability to undergo continued cell division, and is ideal for studying plant meristematic differentiation. By comparing the differential epigenetic modifications between callus and seedling, the changes in chromatin state and effects of various epigenetic modifications on the growth and development of plants can be revealed, and the key genes related to plant growth and development can be identified, providing novel insights into the regulation of plant growth and development. In this study, we performed ChIP assays using various antibodies in rice seed-induced callus and seedlings grown for about 15 days to examine the differential deposition of H3K27me3 and H3K4me3. Furthermore, data for DNase I-hypersensitive sites in the corresponding tissues were downloaded from National Center for Biotechnology Information. We analyzed 4,562 callus H3K27me3-decreased genes especially those encoding transcription factors in callus, and found that most of the transcription factors, including AP2-ERREBP, NAC, and HB gene families, were related to growth and development. Genes related to meristemization, such as OsWOX9, OsWOX11, OsPLT4, OsPLT5, and OsSHR, were also included. In contrast, H3K4me3 positively regulated callus characteristics through its higher deposition in the callus than in the seedling. We further performed transcriptomic analysis on 45 sets of Affymetrix GeneChip arrays and identified 1,565 genes preferentially expressed in the callus. Callus development and root development in rice were found to share a common regulatory mechanism. We found that these genes, which are associated with meristems, require the removal of H3K27me3 and the deposition of H3K4me3, and DNase I-hypersensitive sites to maintain a relatively active state in the callus than in the seedling. The present study provides novel data about the epigenetic mechanisms involved in callus formation and additional resources for the study of cell division and differentiation in plants.

Understanding epigenomics based on the rice model

The purpose of this paper provides a comprehensive overview of the recent researches on rice epigenomics, including DNA methylation, histone modifications, noncoding RNAs, and three-dimensional genomics. The challenges and perspectives for future research in rice are discussed. Rice as a model plant for epigenomic studies has much progressed current understanding of epigenetics in plants. Recent results on rice epigenome profiling and three-dimensional chromatin structure studies reveal specific features and implication in gene regulation during rice plant development and adaptation to environmental changes. Results on rice chromatin regulator functions shed light on mechanisms of establishment, recognition, and resetting of epigenomic information in plants. Cloning of several rice epialleles associated with important agronomic traits highlights importance of epigenomic variation in rice plant growth, fitness, and yield. In this review, we summarize and analyze recent advances in rice epigenomics and discuss challenges and directions for future research in the field.

PCSD: a plant chromatin state database

Genome-wide maps of chromatin states have become a powerful representation of genome annotation and regulatory activity. We collected public and in-house plant epigenomic data sets and applied a Hidden Markov Model to define chromatin states, which included 290 553 (36 chromatin states), 831 235 (38 chromatin states) and 3 936 844 (26 chromatin states) segments across the whole genome of Arabidopsis thaliana, Oryza sativa and Zea mays, respectively. We constructed a Plant Chromatin State Database (PCSD, http://systemsbiology.cau.edu.cn/chromstates) to integrate detailed information about chromatin states, including the features and distribution of states, segments in states and related genes with segments. The self-organization mapping (SOM) results for these different chromatin signatures and UCSC Genome Browser for visualization were also integrated into the PCSD database. We further provided differential SOM maps between two epigenetic marks for chromatin state comparison and custom tools for new data analysis. The segments and related genes in SOM maps can be searched and used for motif and GO analysis, respectively. In addition, multi-species integration can be used to discover conserved features at the epigenomic level. In summary, our PCSD database integrated the identified chromatin states with epigenetic features and may be beneficial for communities to discover causal functions hidden in plant chromatin.