Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Orchard soil

ABSTRACT: orchard soil Genome sequencing

PROVIDER: PRJNA770379 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16292965_1.fastq.gz	Fastqsanger.gz
	SRR16292965_2.fastq.gz	Fastqsanger.gz
	SRR16292966_1.fastq.gz	Fastqsanger.gz
	SRR16292966_2.fastq.gz	Fastqsanger.gz
	SRR16292967_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Orchard soil

Project description:Orchard soil Genome sequencing

| PRJNA722372 | ENA

orchard soil

Project description:orchard soil Genome sequencing

| PRJNA770137 | ENA

orchard soil

Project description:orchard soil Genome sequencing

| PRJNA770466 | ENA

orchard soil

Project description:orchard soil Genome sequencing

| PRJNA770468 | ENA

Orchard row soil

Project description:Orchard row soil Genome sequencing and assembly

| PRJNA1108425 | ENA

orchard soil

Project description:orchard soil Raw sequence reads

| PRJNA863399 | ENA

Metagenome of mango orchard soil

Project description:Metagenome of mango orchard soil Metagenome

| PRJNA592608 | ENA

Orchard row soil Genome sequencing and assembly

Project description:Orchard row soil Genome sequencing and assembly Metagenome

| PRJNA1109582 | ENA

pera orchard soil cropped with Hoshu and Sucui

Project description:pera orchard soil cropped with Hoshu and Sucui Metagenome

| PRJNA825128 | ENA

Microbial regulation of soil water repellency to control soil degradation

Project description:Soil water repellency (SWR) (i.e. soil hydrophobicity or decreased soil wettability) is a major cause of global soil degradation and a key agricultural concern. This metabolomics data will support the larger effort measuring soil water repellency and soil aggregate formation caused by microbial community composition through a combination of the standard drop penetration test, transmission electron microscopy characterization and physico-chemical analyses of soil aggregates at 6 timepoints. Model soils created from clay/sand mixtures as described in Kallenbach et al. (2016, Nature Communications) with sterile, ground pine litter as a carbon/nitrogen source were inoculated with 15 different microbial communities known to have significantly different compositions based on 16S rRNA sequencing. This data will allow assessment of the direct influence of microbial community composition on soil water repellency and soil aggregate stability, which are main causes of soil degradation. The work (proposal:https://doi.org/10.46936/10.25585/60001346) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

2024-02-14 | MSV000094090 | MassIVE

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