Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Archaea community of biological soil crusts in 2015

PROVIDER: PRJNA636633 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11906333_1.fastq.gz	Fastqsanger.gz
	SRR11906333_2.fastq.gz	Fastqsanger.gz
	SRR11906334_1.fastq.gz	Fastqsanger.gz
	SRR11906334_2.fastq.gz	Fastqsanger.gz
	SRR11906335_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 32

Similar Datasets

Project description:Fungi community of biological soil crusts in 2015

| PRJNA636597 | ENA

Project description:metagenomes of biological soil crusts in 2015

| PRJNA562239 | ENA

Project description:Archaea Community diversity of biological soil crusts in successional stages

| PRJNA411916 | ENA

Fungi community of biological soil crusts in 2015

Project description:Fungi community of biological soil crusts in 2015 Targeted loci environmental

| PRJNA636588 | ENA

Project description:bacterial community in a desert biological soil crusts

| PRJNA730108 | ENA

Project description:Biological soil crusts metagenome

| PRJNA1026485 | ENA

biocrust metagenome

Project description:biological soil crusts Metagenome

| PRJNA303119 | ENA

Project description:Biological soil crusts metagenome

| PRJNA544139 | ENA

Project description:Ammonia-Oxidizing Archaea diversity of biological soil crusts in successional stages

| PRJNA411913 | 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

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