Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bacteria

ABSTRACT: Root and soil bacterial population response to TWW irrigation

PROVIDER: PRJNA483311 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7618920_1.fastq.gz	Fastqsanger.gz
	SRR7618920_2.fastq.gz	Fastqsanger.gz
	SRR7618930_1.fastq.gz	Fastqsanger.gz
	SRR7618930_2.fastq.gz	Fastqsanger.gz
	SRR7618940_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 193

Similar Datasets

TWW_AvihaiZolti

Project description:Root microbiome response to TWW irrigation

| PRJEB27974 | ENA

Transcriptome Analysis Reveals the Biocontrol Mechanism of Endophytic Bacteria AM201, Rhodococcus sp., against Root Rot Disease of Atractylodes macrocephala

Project description:Transcriptome analysis was performed on the rhizome tissues of Atractylodes macrocephala under different treatments. The four treatments were: sterile water irrigation alone, FS root irrigation, FS and AM201 root irrigation, and FS combined with methyltobuzin (TM) root irrigation. And the differential genes between AM201 and FO groups were identified and compared, which helps to reveal the resistance mechanism of AM201 to Atractylodes macrocephala root rot disease

2024-01-30 | GSE254183 | GEO

Soil bacteria community response

Project description:Soil bacteria community response to greywater irrigation

| PRJEB30578 | ENA

kedma 16s rRNA gene

Project description:Ecology of soil bacterial active community under TWW irrigation in an Olive orchard

| PRJEB6426 | ENA

Active bacterial communities in TWW irrigated soil

Project description:Ecology of soil bacterial active community under TWW irrigation in an Olive orchard.

| PRJEB6493 | ENA

ammonia oxidizing bacterial communities in TWW irrigated soil

Project description:Ecology of soil bacterial active community under TWW irrigation in an Olive orchard

| PRJEB6496 | ENA

Interactive effects of depth and differential irrigation on soil microbiome composition and functioning_PNNLSoilsSFA_Naylor

Project description:GCMS datasets for the soil depth manuscript Abstract Two factors that are well-known to influence soil microbiomes include the depth of the soil as well as the level of moisture. Previous works have demonstrated that climate change will increase the incidence of drought in soils, but it is unknown how fluctuations in moisture availability affect soil microbiome composition and functioning down the depth profile. Here, we investigated soil and wheatgrass rhizosphere microbiomes in a common field setting under four different irrigation regimes and three depths. We demonstrated that there is a significant interactive effect, where fluctuations in soil moisture more strongly influence soil microbiomes at the surface layer than in deeper layers, including for soil community composition, diversity, and for functional profiles. Meanwhile, in rhizosphere communities the influence of irrigation was similar across the different depths, although there were slight discrepancies between the two cultivars of wheatgrass used. The lessened response of deeper soil microbiomes to changes in irrigation may be due to higher incidence of slow-growing, stress-resistant microbes.

2022-11-07 | MSV000090655 | MassIVE

Cover crop monocultures and mixtures improve the rhizosphere bacterial abundance and functionality through root channel re-use

Project description:Cover cropping is an effective method to protect agricultural soils from erosion, promote nutrient and moisture retention, encourage beneficial microbial activity, and maintain soil structure. Reusing winter cover crop root channels with the maize roots during the summer allows the cash crop to extract resources from farther niches in the soil horizon. In this study, we investigate how reusing winter cover crop root channels to grow maize (Zea mays L.) affects the composition and function of the bacterial communities in the rhizosphere using 16S rRNA gene amplicon sequencing and metaproteomics. We discovered that the bacterial community significantly differed among cover crop variations, soil profile depths, and maize growth stages. Re-usage of the root channels increased bacterial abundance, and it further increases as we elevate the complexity from monocultures to mixtures. Upon mixing legumes with brassicas and grasses, the overall expression of several steps of the carbon cycle (C) and the nitrogen cycle (N) improved. The deeper root channels of legumes and brassicas compared to grasses correlated with higher bacterial 16S rRNA gene copy numbers and community roles in the respective variations in the subsoil regimes due to the increased availability of root exudates secreted by maize roots. In conclusion, root channel re-use (monocultures and mixtures) improved the expression of metabolic pathways of the important C and N cycles, and the bacterial communities, which is beneficial to the soil rhizosphere as well as to the growing crops.

2025-05-02 | PXD046832 | Pride

Project description:TWW soil resistome

| PRJNA1048357 | ENA

RNAseq of roots and leaves of tender wheat (Triticum aestivum cv. Chinese Spring) during interaction with plant-growth-promoting rhizobacteria Azospirillum brasilense sp245 and Burkholderia graminis C4D1M

Project description:We monitored the transcriptomic response of roots and leaves of Triticum aestivum (cv Chinese Spring) at 2 months following the root inoculation by Azospirillum brasilense sp245 or Burkholderia graminis C4D1M. Plants were grown in pot containing a solid substrate (sand+soil) and 3 plants per pot, conditions in triplicates, in greenhouse conditions, and inoculated at seedling stage with OD 1 washed bacterial culture.

2022-12-31 | E-MTAB-5896 | biostudies-arrayexpress

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