Ontology highlight
ABSTRACT:
PROVIDER: PRJNA412428 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6109540_1.fastq.gz | Fastqsanger.gz | |||
| SRR6109540_2.fastq.gz | Fastqsanger.gz | |||
| SRR6109541_1.fastq.gz | Fastqsanger.gz | |||
| SRR6109541_2.fastq.gz | Fastqsanger.gz | |||
| SRR6109542_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 24 |
Similar Datasets
Project description:Most plant roots have multiple cortex layers that make up the bulk of the organ and play key roles in physiology like flood tolerance and symbiosis. However, little is known about how cortical layers form outside the highly reduced anatomy of the model Arabidopsis. Here we use single-cell RNAseq to rapidly generate a cell-resolution map of the maize root, revealing an alternative configuration of the tissue-formative SHORT-ROOT (SHR) signaling pathway adjacent to the expanded cortex. We show that maize SHR protein is hypermobile, moving at least eight cell layers into the cortex. Higher order SHR mutants in both maize and Setaria have reduced numbers of cortical layers, showing that the SHR pathway controls expansion of cortical tissue in monocots that sets up anatomical complexity and a host of key traits.
2021-07-01 | GSE173087 | GEO
Project description:Most plant roots have multiple cortex layers that make up the bulk of the organ and play key roles in physiology like flood tolerance and symbiosis. However, little is known about how cortical layers form outside the highly reduced anatomy of the model Arabidopsis. Here we use single-cell RNAseq to rapidly generate a cell-resolution map of the maize root, revealing an alternative configuration of the tissue-formative SHORT-ROOT (SHR) signaling pathway adjacent to the expanded cortex. We show that maize SHR protein is hypermobile, moving at least eight cell layers into the cortex. Higher order SHR mutants in both maize and Setaria have reduced numbers of cortical layers, showing that the SHR pathway controls expansion of cortical tissue in monocots that sets up anatomical complexity and a host of key traits.
2021-07-01 | GSE172280 | GEO
Project description:Most plant roots have multiple cortex layers that make up the bulk of the organ and play key roles in physiology like flood tolerance and symbiosis. However, little is known about how cortical layers form outside the highly reduced anatomy of the model Arabidopsis. Here we use single-cell RNAseq to rapidly generate a cell-resolution map of the maize root, revealing an alternative configuration of the tissue-formative SHORT-ROOT (SHR) signaling pathway adjacent to the expanded cortex. We show that maize SHR protein is hypermobile, moving at least eight cell layers into the cortex. Higher order SHR mutants in both maize and Setaria have reduced numbers of cortical layers, showing that the SHR pathway controls expansion of cortical tissue in monocots that sets up anatomical complexity and a host of key traits.
2021-07-01 | GSE172277 | GEO
Project description:Using whole genome bisulfite sequencing to provide single-base resulution of DNA methylation status in ros1, idm1, and rdd mutants and identify hypermethylated regions comparing to wild type Arabidopsis plants. Examination of 3 different mutants' methylome. 8 samples (3 mutants, 1 WT, each has two biological replicates)
2012-06-17 | E-GEOD-33071 | biostudies-arrayexpress
Project description:Saha2011 - Genome-scale metabolic network of
Arabidopsis thaliana (iRS1597)
This model is described in the article:
Zea mays iRS1563: a
comprehensive genome-scale metabolic reconstruction of maize
metabolism.
Saha R, Suthers PF, Maranas
CD.
PLoS ONE 2011; 6(7): e21784
Abstract:
The scope and breadth of genome-scale metabolic
reconstructions have continued to expand over the last decade.
Herein, we introduce a genome-scale model for a plant with
direct applications to food and bioenergy production (i.e.,
maize). Maize annotation is still underway, which introduces
significant challenges in the association of metabolic
functions to genes. The developed model is designed to meet
rigorous standards on gene-protein-reaction (GPR) associations,
elementally and charged balanced reactions and a biomass
reaction abstracting the relative contribution of all biomass
constituents. The metabolic network contains 1,563 genes and
1,825 metabolites involved in 1,985 reactions from primary and
secondary maize metabolism. For approximately 42% of the
reactions direct literature evidence for the participation of
the reaction in maize was found. As many as 445 reactions and
369 metabolites are unique to the maize model compared to the
AraGEM model for A. thaliana. 674 metabolites and 893 reactions
are present in Zea mays iRS1563 that are not accounted for in
maize C4GEM. All reactions are elementally and charged balanced
and localized into six different compartments (i.e., cytoplasm,
mitochondrion, plastid, peroxisome, vacuole and extracellular).
GPR associations are also established based on the functional
annotation information and homology prediction accounting for
monofunctional, multifunctional and multimeric proteins,
isozymes and protein complexes. We describe results from
performing flux balance analysis under different physiological
conditions, (i.e., photosynthesis, photorespiration and
respiration) of a C4 plant and also explore model predictions
against experimental observations for two naturally occurring
mutants (i.e., bm1 and bm3). The developed model corresponds to
the largest and more complete to-date effort at cataloguing
metabolism for a plant species.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180011.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180011 | BioModels
Project description:Saha2011- Genome-scale metabolic network of
Zea mays (iRS1563)
This model is described in the article:
Zea mays iRS1563: a
comprehensive genome-scale metabolic reconstruction of maize
metabolism.
Saha R, Suthers PF, Maranas
CD.
PLoS ONE 2011; 6(7): e21784
Abstract:
The scope and breadth of genome-scale metabolic
reconstructions have continued to expand over the last decade.
Herein, we introduce a genome-scale model for a plant with
direct applications to food and bioenergy production (i.e.,
maize). Maize annotation is still underway, which introduces
significant challenges in the association of metabolic
functions to genes. The developed model is designed to meet
rigorous standards on gene-protein-reaction (GPR) associations,
elementally and charged balanced reactions and a biomass
reaction abstracting the relative contribution of all biomass
constituents. The metabolic network contains 1,563 genes and
1,825 metabolites involved in 1,985 reactions from primary and
secondary maize metabolism. For approximately 42% of the
reactions direct literature evidence for the participation of
the reaction in maize was found. As many as 445 reactions and
369 metabolites are unique to the maize model compared to the
AraGEM model for A. thaliana. 674 metabolites and 893 reactions
are present in Zea mays iRS1563 that are not accounted for in
maize C4GEM. All reactions are elementally and charged balanced
and localized into six different compartments (i.e., cytoplasm,
mitochondrion, plastid, peroxisome, vacuole and extracellular).
GPR associations are also established based on the functional
annotation information and homology prediction accounting for
monofunctional, multifunctional and multimeric proteins,
isozymes and protein complexes. We describe results from
performing flux balance analysis under different physiological
conditions, (i.e., photosynthesis, photorespiration and
respiration) of a C4 plant and also explore model predictions
against experimental observations for two naturally occurring
mutants (i.e., bm1 and bm3). The developed model corresponds to
the largest and more complete to-date effort at cataloguing
metabolism for a plant species.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180064.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180064 | BioModels
Project description:Ustilago maydis is a basidiomycete fungus that causes smut disease in maize. Most prominent symptoms of the disease are plant tumors, which can be induced by U. maydis on all aerial parts of the plant. We identified two linked genes, pit1 and pit2, which are specifically expressed during plant colonization. Deletion mutants for either pit1 or pit2 are unable to induce tumor development and elicit plant defense responses. We used the Affymetrix maize genome array to analyze the transcriptional responses of maize to deletion pit1 and pit2 mutants and found plant responses to both mutants being not significantly distinguishable.
2011-07-01 | GSE28479 | GEO
Project description:Two-organism transcriptome profiling of infected seedling, adult leaf, and tassel demonstrated that both the host and pathogen exhibit organ-specific expression programs. Phenotypic screening of U. maydis mutants deleted for suites of secreted protein genes and maize growth mutants demonstrated organ-restricted tumorigenesis. Two-dye, competitive hybridizations were performed on Agilent oligo arrays. Keywords: maize, pathogen, fungus, Ustilago, organ-specificity
2010-04-01 | GSE20130 | GEO
Project description:Transcriptional profiling of Yellow stripe 1 (ys1) and ys3 mutants. ys1 and ys3 are recessive mutants of maize (Zea mays L.) that result in symptoms typical of Fe deficiency, i.e., interveinal chlorosis of the leaves. The objective of the present work was to identify the genes involved in the ys1 and ys3 phenotypes, so as to extend our understanding of Fe homeostasis in maize.
2015-09-20 | GSE41051 | GEO
Project description:qPCR gene expression profiling of Yellow stripe 1 (ys1) and ys3 mutants. ys1 and ys3 are recessive mutants of maize (Zea mays L.) that result in symptoms typical of Fe deficiency, i.e., interveinal chlorosis of the leaves. The objective of the present work was to identify the genes involved in the ys1 and ys3 phenotypes, so as to extend our understanding of Fe homeostasis in maize.
2015-03-01 | GSE44557 | GEO