Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The bean seed microbiota

ABSTRACT: Terroir is a key driver of seed-associated fungal assemblages

PROVIDER: PRJEB8866 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR791957_1.fastq.gz	Fastqsanger.gz
	ERR791957_2.fastq.gz	Fastqsanger.gz
	ERR791958_1.fastq.gz	Fastqsanger.gz
	ERR791958_2.fastq.gz	Fastqsanger.gz
	ERR791959_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 108

Similar Datasets

seed fungal microbiome

Project description:Seed fungal microbiome

| PRJNA848675 | ENA

Identification of Scarlet Runner Bean WOX9-like binding sites in Scarlet Runner Bean seeds during seed development

Project description:To dissect the gene regulatory networks operating during Scarlet Runner Bean seed development, we identified the binding sites genome-wide for transcription factor in Scarlet Runner Bean seeds during seed development using ChIP-seq

2020-07-13 | GSE153644 | GEO

The cereal seed microbiota

Project description:16S metabarcoding of the seed microbiome associated to eight cereal species

| PRJEB36663 | ENA

Microbiota of mature bean seeds and seed exudates

Project description:Effect of plant genotype and production site on microbiota of mature seeds and seed exudates

| PRJEB59579 | ENA

Methylome analysis of water- versus Xcf-inoculated common bean seeds at seed maturity stage

Project description:DNA Methylation profiling was performed at seed maturity to compare between seed methylomes from Xcf-inoculated and water-inoculated seeds.

2024-09-03 | GSE226919 | GEO

Nanoceria modulates kidney bean proteomic response and compromises its seed quality

Project description:There is inadequate understanding of the environmental fate and effects of engineered nanoparticles, including nanoceria. Also, knowledge about the influence of environmental factors on the bioavailability of these particles and resulting impacts on the nutritional quality of crops is limited. Alterations in mineral and macromolecular composition of some grains and fruits under nanoceria exposure have been reported recently; however, the cellular mechanisms associated with the effects are unknown. Here, we show that the impact of nanoceria at 62.5 to 500 mg/kg soil on kidney bean (Phaseolus vulgaris) productivity and seed quality are influenced by soil organic matter content. Seeds obtained from plants exposed to nanoceria at 125 mg/kg showed unique and contrasting response in terms of nutritional quality under varying soil organic matter content. Additionally, quantitative proteomic analysis provides evidence for dose-dependent down-regulation of some major proteins associated with nutrient storage and carbohydrate metabolism, including phaseolin and lectins in the exposed seeds. This study suggests that nCeO2 exposure negatively impacts the nutritional quality of kidney beans. This altered seed quality may have significant implications for food production and human health.

2019-02-21 | PXD002407 | Pride

Single seed microbiota

Project description:Assembly and seedling transmission of the seed microbiota

| PRJEB45079 | ENA

Studying of Black Seed effect on colorectal cancer

Project description:Interventions: Black seed capsule (containing fresh black seed powder) in the amount of 1000 mg three times a day (it is better to take black seed capsule 2 hours before or 2 hours after a meal).. Primary outcome(s): Cancer antigen 19-9 (CA19-9). Timepoint: Baseline, 3 months following the treatment and the end of treatment. Method of measurement: Blood test.;Carcino Embryonic Antigen (CEA). Timepoint: Baseline, 3 months following the treatment and the end of treatment. Method of measurement: Blood test. Study Design: Randomization: N/A, Blinding: Not blinded, Placebo: Not used, Assignment: Single, Purpose: Treatment.

| 2496470 | ecrin-mdr-crc

Anadenanthera seed microbiota

Project description:Analysis of Anadenanthera colubrina seed endophytes by pyrosequencing of bacterial 16S RNA genes

| PRJEB14944 | ENA

Quantitative proteomic analyses reveal the dynamics of protein and amino acid accumulation in soybean seed from early to late stages of seed filling

Project description:Global analyses of protein profiling during seed development in soybean is paramount to understand the metabolic processes that correspond to the differential protein accumulation and hence seed quality in soybean. Using high throughput tandem mass tag (TMT) based tagging techniques, we identified 4,172 proteins in three stages namely early, mid, and late seed filling. We mapped the identified metabolic pathways associated with seed filling. An elevated level of several kinases was observed from the early to mid-stages of seed filling, indicating that protein phosphorylation was a major event that occurred during this period. The early to late stages of seed filling was characterized by an increased level of proteins associated with the cell wall, oil, and vacuolar-related processes. Twenty-five seed storage protein genes located on 12 different chromosomes were identified. Among the seed storage proteins, 7S (B-subunit) and 11S (Gy3, Gy4, Gy5) exhibited steadily increased abundance from early to late-stage seed development, whereas, 2S albumin exhibited decreased abundance during the same period. An increased abundance of proteases, senescence-associated proteins and, oil synthesis proteins was observed from the mid to late stages of seed filling. The mid to late stages of seed filling were also characterized by a lower abundance of transferases, transporters, Kunitz family trypsin, and protease inhibitors. Two enzymes associated with methionine synthesis exhibited lower abundance from early to late stages. This study unveiled the expression of several key enzymes/proteins associated with amino acid and protein syntheses and their accumulation during seed development which will assist scientists and breeders to develop new value-added soybeans with improved protein quality.

2021-06-06 | MSV000087577 | MassIVE

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