Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Sequenced Root/Soil Samples

PROVIDER: PRJNA645437 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12204500_1.fastq.gz	Fastqsanger.gz
	SRR12204500_2.fastq.gz	Fastqsanger.gz
	SRR12204501_1.fastq.gz	Fastqsanger.gz
	SRR12204501_2.fastq.gz	Fastqsanger.gz
	SRR12204502_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 272

Similar Datasets

Gene expression profiling of ramie roots during hydroponic induction and adaption to aquatic environment

Project description:Transcriptome analysis of root development related genes in terrestrial and hydroponic ramie. Ramie seedlings were cultivated in soil, and in hydroponic with the shoot-cutting propagation method. The root samples from hydrophonic ramie were collected from the early stage (5-day-old seedling) and the late stage (30-day-old seedling) of acquatic roots induction. The roots of ramie seedling cultivated in soil were also collected for comparative analysis. Our study represents the detailed analysis of ramie root transcriptomes with biologic replicates.

2017-09-15 | GSE98903 | GEO

Dosage effect on small RNA transcripts in maize copy number alterations

Project description:We sequenced 10 small RNA samples. 6 samples were taken from the 14-day old maize seedling tissue, and the other 4 samples were taken from 14-day old maize root tissue.

2015-09-04 | GSE71959 | GEO

Real-time quantitative PCR analysis of apple roots and leaves after ARD infection

Project description:Root and leave samples of 4 different apple genotypes were investigated in order to analyse the gene expression after infection with Apple Replant Disease (ARD). All genotypes were cultivated in ARD-infected soil and gamma-irradiated (disinfected) soil in the greenhouse for 7 days. The ARD soil originated from two different orchards representing two different soil compositions. After 7 days root tissue was collected from each plant and used for the subsequent gene expression analysis. This work was part of the project BonaRes-ORDIAmur funded by the German Federal Ministry of Research and Education within the frame of the program BonaRes (grant no. 031B0025B). It was also funded by the German Research Foundation (DFG) via the research training group GRK1798 "Signaling at the Plant-Soil Interface" and a grant to BL and LB (BE 1174/19-1).

2019-12-09 | GSE135081 | GEO

The preceding root system drives the rhizosphere microbiome

Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.

2020-03-06 | GSE146427 | GEO

The soil emergence-related transcription factor PIF3 regulates root penetration by interacting with the receptor kinase FER

Project description:The cotyledons of etiolated seedlings from terrestrial flowering plants must emerge from the soil surface, while roots must penetrate the soil to ensure plant survival. We show here that the soil emergence related transcription factor PHYTOCHROME-INTERACTING FACTOR 3 (PIF3) regulates root penetration via transducing external signals perceived by the receptor kinase FERONIA (FER) in Arabidopsis thaliana. The loss of FER function in the fer-4 mutant resulted in a severe defect in root penetration into hard soil or medium. Single-cell RNA-seq profiling of roots revealed a distinct cell clustering pattern, especially for root cap cells, and revealed PIF3 as a putative FER-regulated transcription factor. Biochemical, imaging, and genetic experiments confirmed that PIF3 is required for root soil penetration. Moreover, FER interacted with and stabilized PIF3, which then modulated the expression of mechanosensitive ion channels and the sloughing of outer cells in the root cap. We propose a novel mechanism of soil penetration by plant roots.

2023-12-31 | GSE225299 | GEO

Niche differentiation of arsenic-transforming microbial groups in rice rhizosphere compartments as impacted by water management and soil-As concentrations

Project description:Arsenic (As) bioavailability in the rice rhizosphere is influenced by many microbial interactions, particularly by metal-transforming functional groups at the root-soil interface. This study was conducted to examine As-transforming microbes and As-speciation in the rice rhizosphere compartments, in response to two different water management practices (continuous and intermittently flooded), established on fields with high to low soil-As concentration. Microbial functional gene composition in the rhizosphere and root-plaque compartments were characterized using the GeoChip 4.0 microarray. Arsenic speciation and concentrations were analyzed in the rhizosphere soil, root-plaque, porewater and grain samples. Results indicated that intermittent flooding significantly altered As-speciation in the rhizosphere, and reduced methyl-As and AsIII concentrations in the pore water, root-plaque and rice grain. Ordination and taxonomic analysis of detected gene-probes indicated that root-plaque and rhizosphere assembled significantly different metal-transforming functional groups. Taxonomic non-redundancy was evident, suggesting that As-reduction, -oxidation and -methylation processes were performed by different microbial groups. As-transformation was coupled to different biogeochemical cycling processes establishing functional non-redundancy of rice-rhizosphere microbiome in response to both rhizosphere compartmentalization and experimental treatments. This study confirmed diverse As-biotransformation at root-soil interface and provided novel insights on their responses to water management, which can be applied for mitigating As-bioavailability and accumulation in rice grains.

2021-07-12 | GSE179671 | GEO

Transcription profiling of 4-week old Arabidopsis plants grown in soil flooded to the soil surface (root flooding) or completely submerged under 6 cm of water (submergence)

Project description:4-week old Arabidopsis plants grown in soil were flooded to the soil surface (root flooding) or completely submerged under 6 cm of water (submergence). Samples are collected at the time specified.

2013-01-30 | E-TIGR-120 | biostudies-arrayexpress

Gene expression analysis of Mulberry root after inoculation with Ralstonia solanacearum.

Project description:Bacterial wilt, caused by the soil-borne bacterium Ralstonia solanacearum, is a lethal disease of mulberry, but the molecular mechanisms of the host resistance responses to R. solanacearum remain unclear. In order to better understand molecular resistance mechanisms to R. solanacearum in mulberry, we set out to define the changes in gene expression of resistance and susceptible mulberry cultivars after inoculation with R. solanacearum. Susceptible cultivar YSD10, resistance cultivar KQ10 and YS283 were inoculation with R. solanacearum, mulberry root samples were collected at 1 dpi and non-treated control in all cultivars. Then we performed RNA-Seq analyses on all mulberry root samples using Illumina HiSeq 2000.

2019-06-13 | GSE60030 | GEO

Single-cell RNA-seq of Kitaake rice roots grown in gel, and non-compacted soil conditions

Project description:We report both raw and processed scRNA-seq profiling reveals how root tissues adapt to soil conditions and compaction stress

2024-02-01 | GSE251706 | GEO

RNA-Seq data used to explore transcriptional dynamics in multipartite fungus-plant interactions: Hordeum vulgare, Serendipita vermifera, Bipolaris sorokiniana

Project description:We addressed the question how the interaction between the beneficial root endophyte Serendipita vermifera (Sv) and the pathogen Bipolaris sorokiniana (Bs) affects fungal behavior and determines barley host responses using a gnotobiotic natural soil-based split-root system for phenotypic and transcriptional analyses.

2019-07-06 | GSE130517 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data