Analysis of soybean DNA methylomes shows CHH hypermethylation enhances gene expression in cotyledons of developing seeds
Ontology highlight
ABSTRACT:
ORGANISM(S): Glycine max
PROVIDER: GSE34875 | GEO | 2012/10/30
SECONDARY ACCESSION(S): PRJNA150107
REPOSITORIES: GEO
Similar Datasets
Project description: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.
2012-10-30 | GSE34849 | GEO
Project description: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.
2012-10-30 | GSE34852 | GEO
Project description: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. methylomes of roots, stems, leaves, and cotyledons of developing seeds
2012-10-30 | E-GEOD-34849 | biostudies-arrayexpress
Project description: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
2012-10-30 | E-GEOD-34852 | biostudies-arrayexpress
Project description: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.
2012-10-30 | GSE34853 | GEO
Project description: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. small RNA profiling of roots, stems, leaves, and cotyledons of developing seeds
2012-10-30 | E-GEOD-34853 | biostudies-arrayexpress
Project description:Soybean is one of the most important oil crops in the world. Revealing the molecular basis and exploring key candidate genes for seed oil synthesis has great significance for soybean improvement. In this study, we found that oil accumulation rates and gene expression levels changed dynamically during soybean seed development. The expression levels of genes in metabolic pathways such as carbon fixation, photosynthesis, glycolysis, and fatty acid biosynthesis were significantly up-regulated during the rapid accumulation of oil in developing soybean seeds. Through weighted correlation network analysis, we identified six co-expression modules associated with soybean seed oil content and the pink module was the most positively correlated (r = 0.83, p = 7 × 10-4) network. Through the integration of differential expression and co-expression analysis, we predicted 124 candidate genes potentially affecting soybean seed oil content, including seven genes in lipid metabolism pathway, two genes involved in glycolysis, one gene in sucrose metabolism, and 12 genes belonged to transcription factors as well as other categories. Among these, three genes (GmABI3b, GmNFYA and GmFAD2-1B) have been shown to control oil and fatty acid content in soybean seeds, and other newly identified candidate genes would broaden our knowledge to understand the molecular basis for oil accumulation in soybean seeds.
| S-EPMC6539092 | biostudies-literature
Project description:Soybean is a major source of protein and oil and a primary feedstock for biodiesel production. Research on soybean seed composition and yield has revealed that protein, oil and yield are controlled quantitatively and quantitative trait loci (QTL) have been identified for each of these traits. However, very limited information is available regarding the genetic mechanisms controlling seed composition and yield. To help address this deficiency, we used Affymetrix Soybean GeneChips® to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean cultivars, which differ in seed weight, yield, protein content and oil content. A total of 700 probe sets were found to be expressed at significantly different (defined as having an adjusted p-value below or equal to 0.05 and an at least 2-fold difference) levels between the two cultivars at one or more of the three developmental stages and in at least one of the two years assayed. Comparison of data from soybeans collected in two different years revealed that 97 probe sets were expressed at significantly different levels in both years. Functional annotations were assigned to 78% of these 97 probe sets based on the SoyBase Affymetrix™ GeneChip® Soybean Genome Array Annotation. Genes involved in receptor binding/activity and protein binding are overrepresented among the group of 97 probe sets that were differentially expressed in both years assayed. Probe sets involved in growth/development, signal transduction, transcription, defense/stress response and protein and lipid metabolism were also identified among the 97 probe sets and their possible implications in the regulation of agronomic traits are discussed. As the Minsoy and Archer soybean cultivars differ with respect to seed size, yield, protein content and lipid content, some of the differentially expressed probe sets identified in this study may thus play important roles in controlling these traits. Others of these probe sets may be involved in regulation of general seed development or metabolism. All microarray data and expression values after GCRMA are available at the Gene Expression Omnibus (GEO) at NCBI (http://www.ncbi.nlm.nih.gov/geo), under accession number GSE21598.
| S-EPMC4664686 | biostudies-literature
Project description:Soybean (Glycine max (L.) Merr. cv Jack) seed development was separated into nine defined stages (S1 to S9). Testa (seed coats) were removed from developing seeds at stages S2, 4, 6, 8, and 9, and subjected to shotgun proteomic profiling. For each stage "total proteins" were isolated from 150mg dry weight of seed coat using a phenol-based method, then reduced, alkylated, and digested with trypsin. The tryptic peptides were separated using a C18-reversed phase matrix, then analyzed using an LTQ Orbitrap Mass Spectrometer. Spectra were searched against the Phytozome G. max DB using the Sorcerer 2 IDA Sequest-based search algorithm. Identities were verified using Scaffold 3. A total of 306 (S2), 328 (S4), 273 (S6), 193 (S8), and 272 (S9) proteins were identified in three out of three biological replicates, and sorted into 11 functional groups: Primary Metabolism, Secondary Metabolism, Cellular Structure, Stress Responses, Nucleic Acid metabolism, Protein Synthesis, Protein Folding, Protein Targeting, Hormones and Signaling, Seed Storage Proteins, and Proteins of Unknown Function. In selected instances, individual seed coat proteins were quantified by spectral counting. The number of proteins involved in intermediary metabolism, flavonoid biosynthesis, protein folding and degradation are discussed as they relate to seed coat function. A database was constructed using the open reading frames of Phytozome G. max DB (updated August 8, 2009), plus a decoy DB generated by reversing the target sequences. Spectra were searched against the combined target-decoy DB using the Sorcerer 2 IDA Sequest-based search algorithm. Identities were verified using the Scaffold 3 program, and the false discovery rate (FDR) was estimated as (Ndecoy/Ntarget). For 186,364 peptide spectra examined, the FDR was between 5.18 and 5.26%. Samples were analyzed in biological triplicate; proteins were included in the results only if they were identified in all three biological replicates. Relative protein abundance was quantified by spectral counting ; data presented are the mean of three independent determinations. The coefficient of variation values calculated for each developmental stage are < 0.0516.
2013-08-09 | PXD000247 | Pride
Project description:BackgroundMicroRNAs (miRNAs) regulate gene expression by mediating gene silencing at transcriptional and post-transcriptional levels in higher plants. miRNAs and related target genes have been widely studied in model plants such as Arabidopsis and rice; however, the number of identified miRNAs in soybean (Glycine max) is limited, and global identification of the related miRNA targets has not been reported in previous research.ResultsIn our study, a small RNA library and a degradome library were constructed from developing soybean seeds for deep sequencing. We identified 26 new miRNAs in soybean by bioinformatic analysis and further confirmed their expression by stem-loop RT-PCR. The miRNA star sequences of 38 known miRNAs and 8 new miRNAs were also discovered, providing additional evidence for the existence of miRNAs. Through degradome sequencing, 145 and 25 genes were identified as targets of annotated miRNAs and new miRNAs, respectively. GO analysis indicated that many of the identified miRNA targets may function in soybean seed development. Additionally, a soybean homolog of Arabidopsis suppressor of gene silencing 3 (AtSGS3) was detected as a target of the newly identified miRNA Soy_25, suggesting the presence of feedback control of miRNA biogenesis.ConclusionsWe have identified large numbers of miRNAs and their related target genes through deep sequencing of a small RNA library and a degradome library. Our study provides more information about the regulatory network of miRNAs in soybean and advances our understanding of miRNA functions during seed development.
| S-EPMC3023735 | biostudies-literature