Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Grape soil

ABSTRACT: grape soil Raw sequence reads

PROVIDER: PRJNA555728 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR9830490_1.fastq.gz	Fastqsanger.gz
	SRR9830490_2.fastq.gz	Fastqsanger.gz
	SRR9830500_1.fastq.gz	Fastqsanger.gz
	SRR9830500_2.fastq.gz	Fastqsanger.gz
	SRR9830510_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 68

Similar Datasets

grape soil-bacteria

Project description:grape soil-bacteria Raw sequence reads

| PRJNA556286 | ENA

Rootstock and soil effects on grape transcriptome

Project description:Soil qualities and rootstocks are among the main factors that have been acknowledged to influence grape development as well as fruit and wine composition. Despite the role of the soil and rootstock in establishing a successful vineyard in terms of grape quality, almost no molecular evidence linking soil and rootstock properties to the gene expression have been reported. The transcriptome variation in response to different soils and rootstocks was investigated through microarray technology. The cv. Pinot Noir was grown on different soils: sand, turf and vineyard soil. The plants were grafted on the contrasting 101-14 and 1103 Paulsen rootstocks. The modulation of genes expression in response to different soils and rootstocks was evaluated considering their potential impact on primary (carbohydrate) and secondary (phenylpropanoid) metabolisms. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Alessio Aprile. The equivalent experiment is VV41 at PLEXdb.]

2014-11-05 | GSE42315 | GEO

Soil, leaves and grape microbiome

Project description:Soil, leaves and grape microbiome Raw sequence reads

| PRJNA777025 | ENA

grape surface

Project description:grape surface Raw sequence reads

| PRJNA477606 | ENA

wine grape

Project description:wine grape Raw sequence reads

| PRJNA750856 | ENA

grape fermentation

Project description:grape fermentation Raw sequence reads

| PRJNA556793 | ENA

grape fermentation

Project description:grape fermentation Raw sequence reads of fungi

| PRJNA556800 | ENA

The rhizosphere soil in interplanting potato with grape

Project description:The rhizosphere soil in interplanting potato with grape Raw sequence reads

| PRJNA1150671 | ENA

Effects of the soil treatment with a corn gluten-derived protein hydrolysate on table grape berry transcriptome

Project description:Protein hydrolysate (PH)-based biostimulants offer a cost-effective and sustainable approach for regulating physiological processes in plants to stimulate growth and improve quality characteristics and stress tolerance. The effectiveness of treatments using different categories of biostimulants on grapevine growth and development has been well-documented for foliar applications compared to soil applications. Considering table grapes, colour is an important quality trait that can be modulated by vineyard practice, including fertilization. In this context, we have evaluated the effects of an environmentally friendly biostimulant, a protein hydrolysate derived from corn gluten, on the berry developmental process of the Black magic table grape. When applied to the soil at veraison, the biostimulant increased the cluster weight, berry diameter, and colour just 14 days after application. The transcriptome analysis of berries carried out at the same sampling time point underlined that the treatment speeds up the ripening process.

2025-01-22 | GSE263604 | GEO

RNA-Seq Analysis to confirm Different Transcriptomic Profiles of Soil-Derived Functional Module Consortia.

Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.

2020-01-14 | GSE143587 | 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