Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil metagenome

ABSTRACT: beech forest soil (Ah horizon) Metagenome

PROVIDER: PRJNA287304 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR2072170_1.fastq.gz	Fastqsanger.gz
	SRR2072170_2.fastq.gz	Fastqsanger.gz
	SRR2072180_1.fastq.gz	Fastqsanger.gz
	SRR2072180_2.fastq.gz	Fastqsanger.gz
	SRR2072190_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 52

Similar Datasets

soil metagenome

Project description:Forest soil (Ah horizon) Metagenome

| PRJNA287307 | ENA

soil metagenome

Project description:Forest soil (Ah horizon) Metagenome

| PRJNA243310 | ENA

soil metagenome

Project description:Influence of fertilization on beech forest soil metagenome

| PRJNA296491 | ENA

soil metagenome

Project description:Soil and roots of beech dominated forest plots Metagenome

| PRJNA312066 | ENA

soil metagenome

Project description:Soil surrounding spruce and beech Metagenome

| PRJNA255366 | ENA

Metaproteome analysis of different soil types

Project description:Metaproteome analysis of a forest soil and a potting soil. Different protein extraction methods were compared to investigate protein extraction efficiency and compatibility with sample downstream processing.

2015-03-26 | PRD000542 | Pride

Beech forest soil

Project description:Beech forest soil Raw sequence reads

| PRJNA860331 | ENA

beech forest soil

Project description:beech forest soil Raw sequence reads

| PRJNA759741 | ENA

Proteome data on soil microbial community

Project description:Soil microbial community is a complex blackbox that requires a multi-conceptual approach (Hultman et al., 2015; Bastida et al., 2016). Most methods focus on evaluating total microbial community and fail to determine its active fraction (Blagodatskaya & Kuzyakov 2013). This issue has ecological consequences since the behavior of the active community is more important (or even essential) and can be different to that of the total community. The sensitivity of the active microbial community can be considered as a biological mechanism that regulates the functional responses of soil against direct (i.e. forest management) and indirect (i.e. climate change) human-induced alterations. Indeed, it has been highglihted that the diversity of the active community (analyzed by metaproteomics) is more connected to soil functionality than the that of the total community (analyzed by 16S rRNA gene and ITS sequencing) (Bastida et al., 2016). Recently, the increasing application of soil metaproteomics is providing unprecedented, in-depth characterisation of the composition and functionality of active microbial communities and overall, allowing deeper insights into terrestrial microbial ecology (Chourey et al., 2012; Bastida et al., 2015, 2016; Keiblinger et al., 2016). Here, we predict the responsiveness of the soil microbial community to forest management in a climate change scenario. Particularly, we aim: i) to evaluate the impacts of 6-years of induced drought on the diversity, biomass and activity of the microbial community in a semiarid forest ecocosystem; and ii) to discriminate if forest management (thinning) influences the resistance of the microbial community against induced drought. Furthermore, we aim to ascertain if the functional diversity of each phylum is a trait that can be used to predict changes in microbial abundance and ecosystem functioning.

2021-02-02 | PXD005447 | Pride

Transcription profiling of mycorrhized European beech (Fagus sylvatica L.) roots in response to fertilization with different forms of inorganic nitrogen

Project description:Young Fagus sylvatica trees (approximately 7 to 8 years) were collected from a natural regeneration beech forest. The trees were excavated with intact soil cores, roots and top organic layer. The trees were then kept outdoors at the Department of Forest Botany, Georg-August-Universität Göttingen. Plants were protected from rain, and light conditions were matched to those of the natural stand using a shading net; otherwise, plants were exposed to natural climatic conditions. The soil moisture was regularly measured; plants were watered with deionized water as needed to keep soil moisture close to the original conditions. Trees was randomly relocated on a weekly basis throughout the experiment to avoid biasses caused by location or light effects. After 21 weeks, a treatment was applied to understand the physiological mechanisms of inorganic nitrogen uptake and assimilation under conditions of an inorganic nitrogen saturated forest simulation: Plants were fertilized with either a 20 mM solution of KNO3, a 20 mM solution of NH4Cl, or demineralized water (control) for 2 days. On the third day, the trees were harvested. Root tips were immediately shock-frozen in liquid nitrogen and used for RNA extraction.

2020-12-14 | E-MTAB-8931 | 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