Zea mays
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA392457 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5786590.fastq.gz | Fastqsanger.gz | |||
| SRR5786600.fastq.gz | Fastqsanger.gz | |||
| SRR5786610.fastq.gz | Fastqsanger.gz | |||
| SRR5786620.fastq.gz | Fastqsanger.gz | |||
| SRR5786630.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 48 |
Similar Datasets
Project description:Transcriptome analysis of Htn1 mediated resistance against E .turcium
2020-04-17 | E-GEOD-100667 | ExpressionAtlas
Project description:Maize is one of the most important crops in the world. With the exponentially increasing population and the need for ever increased food and feed production, an increased yield of maize grain (as well as rice, wheat and other grains) will be critical. Maize grain development is understood from the perspective of morphology, hormone responses, and storage reserve accumulation. This includes various studies on gene expression during embryo development and maturation but a global study of gene expression of the embryo has not been possible until recently. Transcriptome analysis is a powerful new tool that can be used to understand the genetic basis of embryo maturation. We undertook a transcriptomic analysis of normal maturing embryos at 15, 21 and 27 days after pollination (DAP), of one elite maize germplasm line that was utilized in crosses to transgenic plants. More than 19,000 genes were analyzed by this method and the challenge was to select subsets of genes that are vitally important to embryo development and maturation for the initial analysis. We describe the changes in expression for genes relating to primary metabolic pathways, DNA synthesis, late embryogenesis proteins and embryo storage proteins, shown through transcriptome analysis and confirmed levels of transcription for some genes in the transcriptome using qRT-PCR.
2012-11-29 | E-MTAB-4393 | biostudies-arrayexpress
Project description:Zea mays subsp. mays Transcriptome or Gene expression Atlas.
2012-09-13 | E-MTAB-4342 | biostudies-arrayexpress
Project description:RNA-directed DNA methylation (RdDM) in plants is a well-characterized example of RNA interference-related transcriptional gene silencing. To determine the relationships between RdDM and heterochromatin in the repeat-rich maize (Zea mays) genome, we performed whole-genome analyses of several heterochromatic features: dimethylation of lysine 9 and lysine 27 (H3K9me2 and H3K27me2), chromatin accessibility, DNA methylation, and small RNAs; we also analyzed two mutants that affect these processes, mediator of paramutation1 and zea methyltransferase2.
2014-12-05 | E-MTAB-4191 | biostudies-arrayexpress
Project description:These data include RNA-seq, circRNA-seq, and small RNA-seq of transcriptome, Ribo-seq of translatome and protein protein binary interactions by recombination-based library vs. library yeast-2-hybrid throughout the lifecycle of the maize inbred line B73.
2022-12-25 | GSE160288 | GEO
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from different maize tissues (including leaves, ears and tassels) collected from wild-type plants of the B73 variety. The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study.
2009-12-31 | GSE17339 | GEO
Project description:Maize has a long history of genetic and genomic tool development and is considered one of the most accessible higher plant systems. With a fully sequenced genome, a suite of cytogenetic tools, methods for both forward and reverse genetics, and characterized phenotype markers, maize is amenable to studying questions beyond plant biology. Major discoveries in the areas of transposons, imprinting, and chromosome biology came from work in maize. Moving forward in the post-genomic era, this classic model system will continue to be at the forefront of basic biological study. In this review, we outline the basics of working with maize and describe its rich genetic toolbox.
| S-EPMC4349061 | biostudies-literature
Project description:Sequencing of the maize B73 transcriptome
2012-06-21 | E-MTAB-4296 | biostudies-arrayexpress
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:Gene transcription is an essential step of gene function and transcriptome variation is of agronomical, ecological and evolutionary importance. To explore global expression patterns and dissect the underlying genetic mechanisms are important scientific inquires which are still largely unknown, especially between a segregating population and the parents. In our study, we used RNA-Seq to profile the shoot apex transcriptome variation (including protein coding genes and non-coding genes) in maize IBM RIL population, to map eQTLs underlying the transcriptome variations and to utilize eQTLs to clone genes involved in maize shoot apices development. We revealed that: Much of the variation (the population mean, the coefficient of variation) of gene expression levels in RILs is reflective of differences present among the parents; These transcriptome variations could be explained by 30,774 eQTLs with 96 trans-eQTL hotspots; In many cases, the genes commonly regulated by a trans-eQTL hotspot are enriched for a specific function or act in the same genetic pathway; Structural variation within and near genes contributs to cis-regulatory variation. All of these results indicate Mendelian factors play as major contributors to the transcriptome variation. Meanwhile, non-Mendelian regulations were also observed as paramutation-like expression pattern for 145 genes, of which 88% genes were predicted to be potential targets of miRNAs or ta-siRNAs, and as unexpected presence/absence expression patterns for 210 genes. These genes with unexpected presence/absence expression patterns in the RILs likely include examples of functional genes as well as transposed gene fragments that may contribute to regulatory variation of their ancestral syntenic genes.
2013-01-30 | E-MTAB-4227 | biostudies-arrayexpress