Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rice rhizosphere soil with treatment

ABSTRACT: Rice rhizosphere soil with treatment Raw sequence reads

PROVIDER: PRJNA684974 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13271306.fastq.gz	Fastqsanger.gz
	SRR13271307.fastq.gz	Fastqsanger.gz
	SRR13271308.fastq.gz	Fastqsanger.gz
	SRR13271309.fastq.gz	Fastqsanger.gz
	SRR13271310.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

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

Rice rhizosphere soil with Cd treatment

Project description:Rice rhizosphere soil with Cd treatment Raw sequence reads

| PRJNA602547 | ENA

Rice rhizosphere microbial soil

Project description:Rice rhizosphere microbial soil Raw sequence reads

| PRJNA806468 | ENA

Rice Rhizosphere Soil

Project description:Rice Rhizosphere Soil Metagenome

| PRJNA1097453 | ENA

Rice rhizosphere soil

Project description:Rice rhizosphere soil Metagenome

| PRJNA505747 | ENA

Rice rhizosphere Soil

Project description:Rice rhizosphere Soil Metagenome

| PRJNA790010 | ENA

Rice rhizosphere

Project description:Rice rhizosphere Raw sequence reads

| PRJNA693973 | ENA

Bulk RNA sequencing data of rice roots protoplasted for 2.5 hours and 3 hours, as well as rice roots grown in gel, non-compacted soil and compacted soil conditions

Project description:We report raw bulk RNA sequencing data rice roots (X.kitaake) protoplasted for 2.5 hours and 3 hours to eliminate the effects of protoplasting duration on our scRNA-seq analysis, as well as rice roots grown in gel, non-compacted soil and compacted soil conditions to verify our findsing with scRNA-seq studies

2024-12-08 | GSE283428 | GEO

GeoChip data of soil microbial communities in the maize rhizosphere and bulk soils

Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.

2014-09-12 | E-GEOD-61338 | biostudies-arrayexpress

GeoChip data of soil microbial communities in the maize rhizosphere and bulk soils

2014-12-10 | E-MTAB-2920 | biostudies-arrayexpress