Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Characteristics of rhizosphere fungal community of Huangshan pine along the elevation gradients in Huangshan Mountain

PROVIDER: PRJNA1109614 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29010700.fastq.gz	Fastqsanger.gz
	SRR29010701.fastq.gz	Fastqsanger.gz
	SRR29010702.fastq.gz	Fastqsanger.gz
	SRR29010703.fastq.gz	Fastqsanger.gz
	SRR29010704.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

soil metagenome

Project description:Soil fungal diversity along elevation gradients

| PRJDB9516 | ENA

Lodgepole pine_Bark_Grosmannia clavigera_inoculation

2012-12-01 | GSE22924 | GEO

Lodgepole pine_Bark_Grosmannia clavigera_inoculation

Project description:Using 21K spruce microarray (that contains 21.8 thousand unique transcripts) we performed analysis of the transcriptome response of lodgepole pine (Pinus contorta) inoculated with the mountain pine beetle (Dendroctonus ponderosae) vectored fungal pathogen Grosmannia clavigera or treated with wounding. This microarray analysis revealed large transcriptome reorganization with close to 2000 transcripts (10% of the studied transcriptome) differentially expressed within two weeks of treatment, with the wounding response affecting close to 2% of the lodgepole pine transcriptome. RNA was isolated from the bark of lodgepole pine inoculated with Grosmannia clavigera, treated with wounding, or untreated control for three time points (6h, 2days and 2 weeks). Three independent biological replicates were included for each treatment and each time point. Three hybridizations were performed for each comparison of different treatments (fungal, wounding, control) within each time point (6 hours, 2 days, 2 weeks) and one hybridization was performed for the comparison of the same treatments between time points (total 36 hybridizations/slides).

2012-12-01 | E-GEOD-22924 | biostudies-arrayexpress

Project description:Fungal community along elevation gradient in Segila Mountains

| PRJNA838454 | ENA

The microbial functional structure along an elevation gradient of the Shennongjia Mountain as characterized by GeoChip

Project description:Known as M-bM-^@M-^\The Oriental Botanic GardenM-bM-^@M-^] and the natural gene bank of biological species, Shennongjia is one of the most biologically diverse areas in China and a member of UNESCO's World Network of Biosphere Reserves. The macro-organism resources of shennongjia have been deeply explored. However, the microbial community structure was scarcely detected. In this study, we aim to detedect the microbial community along six sites of Shennonajia Mountain and explore the major controlling factor in shaping microbial community with a microarray-based metagenomics tool named GeoChip 4.2. Seventy-three samples were collected from six sites along the Shennongjia Mountain, with 5-15 replicates in every site

2014-06-13 | E-GEOD-58433 | biostudies-arrayexpress

Project description:Response of fungal community of qingke barley to soil physicochemical properties along elevation gradients on the Tibetan Plateau

| PRJNA990542 | ENA

Functional genomics of mountain pine beetle (Dendroctonus ponderosae) midguts and fatbodies

Project description:Survey of relative gene expression profiles in larvae, pupae, and midguts and fatbodies of teneral, unfed, and fed adult mountain pine beetles from western Nevada, USA.

2009-08-29 | GSE17858 | GEO

Project description:soil fungal community structure and assembly process along the evelational gradients

| PRJNA647426 | ENA

The microbial functional structure along an elevation gradient of the Shennongjia Mountain as characterized by GeoChip

Project description:Known as “The Oriental Botanic Garden” and the natural gene bank of biological species, Shennongjia is one of the most biologically diverse areas in China and a member of UNESCO's World Network of Biosphere Reserves. The macro-organism resources of shennongjia have been deeply explored. However, the microbial community structure was scarcely detected. In this study, we aim to detedect the microbial community along six sites of Shennonajia Mountain and explore the major controlling factor in shaping microbial community with a microarray-based metagenomics tool named GeoChip 4.2.

2014-06-13 | GSE58433 | GEO

Project description:Bacterial community along permafrost thawing gradients

| PRJNA564189 | ENA