Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Bacterial diversity in disturbed forest

PROVIDER: PRJNA454762 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7097922_1.fastq.gz	Fastqsanger.gz
	SRR7097922_2.fastq.gz	Fastqsanger.gz
	SRR7097923_1.fastq.gz	Fastqsanger.gz
	SRR7097923_2.fastq.gz	Fastqsanger.gz
	SRR7097924_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Project description:forest soil bacterial diversity

| PRJNA691096 | ENA

Project description:forest soil bacterial diversity

| PRJNA691134 | ENA

Project description:Fungal and Bacterial Community Composition in Disturbed Sub-boreal Forest Soils

| PRJNA386687 | ENA

Project description:Soil Bacterial Diversity from Sathyamangalam Forest

| PRJNA1330820 | ENA

Forest bacteria in eastern China

Project description:forest bacterial diversity in eastern China

| PRJNA420924 | ENA

Project description:Bacterial diversity at Maoxian in subalpine forest

| PRJNA753612 | ENA

OEX_Jianjun_2309141602

Project description:Bacterial diversity

2025-05-29 | OEX00025163 | NODE

Project description:Bacterial diversity of forest canopy and understory ants

| PRJNA691417 | ENA

16S rRNA community profiling of the gut of the African Palm weevil

Project description:To explore the bacterial community profile of the gut of the African palm weevil and to identify the abundance and diversity of lignin degradation-associated bacteria in each gut segment.

2025-01-01 | E-MTAB-13719 | biostudies-arrayexpress

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