Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil AMF community

ABSTRACT: soil AMF community Raw sequence reads

PROVIDER: PRJNA656348 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12438653.fastq.gz	Fastqsanger.gz
	SRR12438654.fastq.gz	Fastqsanger.gz
	SRR12438655.fastq.gz	Fastqsanger.gz
	SRR12438656.fastq.gz	Fastqsanger.gz
	SRR12438657.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 42

Similar Datasets

AMF community composition in soil and plant roots

Project description:AMF community composition in soil and plant roots Raw sequence reads

| PRJNA978959 | ENA

rhizosphere AMF metagenome

Project description:soil AMF Raw sequence reads

| PRJNA846491 | ENA

AMF

Project description:AMF Raw sequence reads

| PRJNA639407 | ENA

AMF

Project description:AMF Raw sequence reads

| PRJNA639384 | ENA

Soil AMF community responsed to long-term fertilization

Project description:Soil AMF community responsed to long-term fertilization

| PRJEB30528 | ENA

AMF-black and saline sodic soil

Project description:AMF-black and saline sodic soil Raw sequence reads

| PRJNA1145030 | ENA

AMF species

Project description:AMF species Raw sequence reads

| PRJNA472054 | 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

A comprehensive study to understand the effects of climate warming, simulated by soil transplant, on soil microbial community and its feedback responses

Project description:Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of climate warming and cooling on soil microbial communities, which are key drivers in Earth’s biogeochemical cycles, four years after soil transplant over large transects from northern (N site) to central (NC site) and southern China (NS site) and vice versa. Four years after soil transplant, soil nitrogen components, microbial biomass, community phylogenetic and functional structures were altered. Microbial functional diversity, measured by a metagenomic tool named GeoChip, and phylogenetic diversity are increased with temperature, while microbial biomass were similar or decreased. Nevertheless, the effects of climate change was overridden by maize cropping, underscoring the need to disentangle them in research. Mantel tests and canonical correspondence analysis (CCA) demonstrated that vegetation, climatic factors (e.g., temperature and precipitation), soil nitrogen components and CO2 efflux were significantly correlated to the microbial community composition. Further investigation unveiled strong correlations between carbon cycling genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycling genes and nitrification, which provides mechanistic understanding of these microbe-mediated processes and empowers an interesting possibility of incorporating bacterial gene abundance in greenhouse gas emission modeling.

2013-10-30 | GSE51592 | GEO

AMF community of Solidago species under five P treatments

Project description:AMF community of Solidago species under five P treatments Raw sequence reads

| PRJNA922727 | ENA