Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: bulk soil fungal sequencing data from different stands in different seasons

PROVIDER: PRJNA1030501 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR26469600_1.fastq.gz	Fastqsanger.gz
	SRR26469600_2.fastq.gz	Fastqsanger.gz
	SRR26469601_1.fastq.gz	Fastqsanger.gz
	SRR26469601_2.fastq.gz	Fastqsanger.gz
	SRR26469602_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 216

Similar Datasets

Project description:bulk soil bacteria sequencing data from different stands in different seasons

| PRJNA1029967 | ENA

Project description:Soil fungal community in different seasons under plant invasion

| PRJNA861832 | ENA

Project description:Fungal keystone species drive soil multifunctionality in different forest stands

| PRJNA1091213 | ENA

Plant hosts modify belowground microbial community response to extreme drought

Project description:<p>Drought stress negatively impacts microbial activity, but the magnitude of stress responses are likely dependent on a diversity of below ground interactions. Populus trichocarpa individuals and no plant bulk soils were exposed to extended drought (~0.03% gravimetric water content (GWC) after 12d), re-wet, and a 12-d 'recovery' period to determine the effects of plant presence in mediating soil microbiome stability to water stress. Plant metabolomic analyses indicated that drought exposure increased host investment in C and N metabolic pathways (amino acids, fatty-acids, phenolic glycosides) regardless of recovery. Several metabolites positively correlated with root-associated microbial alpha diversity, but not those of soil communities. Soil bacterial community composition shifted with P. trichocarpa presence and with drought relative to irrigated controls, whereas soil fungal composition only shifted with plant presence. However, root fungal communities strongly shifted with drought, whereas root bacterial communities changed to a lesser degree. The proportion of bacterial water-stress opportunistic OTUs (enriched counts in drought) were high (~11%) at the end of drying phases, and maintained after re-wet, and recovery phases in bulk soils, but declined over time in soils with plants present. For root fungi opportunistic OTUs were high at the end of recovery in drought treatments (~17% abundance), although relatively not responsive in soils, particularly planted soils (< 0.5% abundance for sensitive or opportunistic). These data indicate that plants modulate soil and root associated microbial drought responses via tight plant-microbe linkages during extreme drought scenarios, but trajectories after extreme drought vary with plant habitat and microbial functional groups.</p>

2020-06-19 | MTBLS1463 | MetaboLights

GeoChip data from fungal community in Alaskan tundra soil

Project description:The effects of two years' winter warming on the overall fungal functional gene structure in Alaskan tundra soil were studies by the GeoChip 4.2 Resuts showed that two years' winter warming changed the overall fungal functional gene structure in Alaskan tundra soil.

2019-03-07 | GSE127899 | GEO

Identification of the molecular basis of anti-cancer effect of Huaier.

Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None. Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes. For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..

| 2612481 | ecrin-mdr-crc

Soil Metatranscriptome

Project description:Metatranscriptome of soil samples from different soil types in different seasons

| PRJEB8096 | ENA

Bulk RNA sequencing data of rice roots protoplasted for 2.5 hours and 3 hours, as well as rice roots grown in gel, non-compacted soil and compacted soil conditions

Project description:We report raw bulk RNA sequencing data rice roots (X.kitaake) protoplasted for 2.5 hours and 3 hours to eliminate the effects of protoplasting duration on our scRNA-seq analysis, as well as rice roots grown in gel, non-compacted soil and compacted soil conditions to verify our findsing with scRNA-seq studies

2024-12-08 | GSE283428 | GEO

Two upland cotton tree fiber samples from different seasons

Project description:Two fiber tissues harvested 10 days post anthesis from upland cotton trees grown under the same green house conditions except for different seasons of the year were used for RNA extraction. Small RNA molecules under 30 bases were amplified and isolated from an agarose gel. The purified DNA was used directly for cluster generation and sequencing analysis using the Illumina Genome Analyzer according to the manufacturer's instructions. The 35nt sequence tags from sequencing went through data cleaning first, which included getting rid of the low-quality tags and several kinds of contaminants from the 35nt tags. All clean tag sequences with copy numbers were then summarized into a fasta format file. Fiber samples from different seasons were used for small RNA sequencing and data processing.

2011-07-01 | E-GEOD-27697 | biostudies-arrayexpress

Melanization of fungal necromass drives the upregulation of multiple chitinase, protease, and laccase genes when being degraded by Trichoderma reesei

Project description:Fungal necromass in soil represents the stable carbon pools. While fungi are known to decompose fungal necromass, how fungi decomopose melanin, remains poorly understood. Recently, Trichoderma species was found to be one of the most commonly associated fungi in soil, we have used a relevant fungal species, Trichoderma reesei, to characterized Genes involved in the decomposition of melanized and non-melanized necromass from Hyaloscypha bicolor.

2024-05-01 | GSE263516 | GEO

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