Ontology highlight
ABSTRACT:
PROVIDER: PRJNA681326 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13161338_1.fastq.gz | Fastqsanger.gz | |||
| SRR13161338_2.fastq.gz | Fastqsanger.gz | |||
| SRR13161339_1.fastq.gz | Fastqsanger.gz | |||
| SRR13161339_2.fastq.gz | Fastqsanger.gz | |||
| SRR13161340_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 24 |
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Project description:Maize is one of the most important crops in the world and serves as an excellent model for seed development research. Despite the important role of the transcriptome in development, genome-wide expression throughout the process of maize seed development has not been characterized. Using RNA-seq, we developed a spatio-temporal transcriptome atlas of B73 maize seed development from fertilization to maturity for embryo, endosperm, and whole seed tissue.
2015-02-12 | E-MTAB-4432 | biostudies-arrayexpress
Project description:Maize (Zea mays) is an excellent cereal model for research on seed development because of its relatively large size for both embryo and endosperm. Despite the importance of seed in agriculture, the genome-wide transcriptome pattern throughout seed development has not been well characterized. Using high-throughput RNA sequencing, we developed a spatiotemporal transcriptome atlas of B73 maize seed development based on 53 samples from fertilization to maturity for embryo, endosperm, and whole seed tissues.
2014-08-09 | E-MTAB-4395 | biostudies-arrayexpress
Project description:Epigenetic modification plays important roles in plant and animal development. DNA methylation can impact the transposable element (TE) silencing, gene imprinting and regulate gene expression.Through a genome-wide analysis, DNA methylation peaks were respectively characterized and mapped in maize embryo and endosperm genome. Distinct methylation level across maize embryo and endosperm was observed. The maize embryo genome contained more DNA methylation peaks than endosperm. However, the endosperm chloroplast genome contained more DNA methylation peaks to compare with the embryo chloroplast genome. DNA methylation regions were characterized and mapped in genome. More CG island (CGI) shore are methylated than CGI in maize suggested that DNA methylation level is not positively correlated with CpG density. The DNA methylation occurred more frequently in the promoter sequence and transcriptional termination region (TTR) than other regions of the genes. The result showed that 99% TEs we characterized are methylated in maize embryo, but some (34.8%) of them are not methylated in endosperm. Maize embryo and endosperm exhibit distinct pattern/level of methylation. The most differentially methylated two regions between embryo and endosperm are High CpG content promoters (HCPs) and high CpG content TTRs (HCTTRs). DNA methylation peaks distinction of mitochondria and chloroplast DNA were less than the nucleus DNA. Our results indicated that DNA methylation is associated with the gene silencing or gene activation in maize endosperm and embryo. Many genes involved in embryogenesis and seed development were found differentially methylated in embryo and endosperm. We found 17 endosperm-specific expressed imprinting genes were hypomethylated in endosperm and were hypermethylated in embryo. The expression of a maize DEMETER -like (DME-like) gene and MBD101 gene (MBD4 homolog) which direct bulk genome DNA demethylation were higher in endosperm than in embryo. These two genes may be associated with the distinct methylation level across maize embryo and endosperm.The methylomes of maize embryo and endosperm was obtained by MeDIP-seq method. The global mapping of maize embryo and endosperm methylation in this study broadened our knowledge of DNA methylation patterns in maize genome, and provided useful information for future studies on maize seed development and regulation of metabolic pathways in different seed tissues. Examination of DNA methylated modifications in 2 maize tissues.
2014-06-17 | E-GEOD-58549 | biostudies-arrayexpress
Project description:Transcriptome dynamics during seed development in chickpea (Himchana)
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Project description:Transcriptome dynamics during seed development in chickpea (JGK3)
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Project description:Using high-throughput RNA sequencing, we developed a spatiotemporal transcriptome atlas for seed development of eight maize inbred lines based on 144 samples from the middle to late stages of grain development. A total of 26,747 genes with FPKM value more than 1 at least one sample were found to be involved in programming grain development. Global comparisons of genes expression highlighted the fundamental transcriptomic reprogramming and the phases of development. Coexpression analysis provided further insight into the dynamic reprogramming of the transcriptome by revealing functional transitions during maturation. Combined with grain moisture content and grain dehydration rate of different developmental time points of eight maize inbred lines, we captured a large number of genes related to grain moisture content and grain dehydration rate, which should help elucidate key mechanisms and regulatory networks that underlie grain dehydration during maize grain development. These results provide a comprehensive understanding of which biological processes are involved in the regulation of moisture variety of maize grain, the general principles of which provide a new perspective on improving maize grain dehydration characteristics. Meanwhile, this study provides a valuable resource for understanding the genetic regulation of maize grain development.
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Project description:We sequenced mRNA from the different development stage of G. biloba embryo using the Illumina HiSeq 4000 platform to generate the transcriptome dynamics to explore ginkgo embryo development mechanism of post-maturation and lay the foundation for revealing the molecular mechanisms of seed dormancy and germination of G. biloba seed.
2020-01-17 | GSE128653 | GEO
Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a large-seeded chickpea (genotype JGK3). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.
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