Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Solanum lycopersicum Rhizosphere microorganisms

ABSTRACT: Effect of Castor on Rhizosphere Microbes of Tomato Raw sequence reads

PROVIDER: PRJNA688365 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Solanum lycopersicum Transcriptome or Gene expression

Project description:To characterize the PTI response of tomato and the effect of the delivery of a subset of effectors, we performed an RNA-seq analysis of tomato Rio Grande prf3 leaves challenged with either the flgII-28 peptide or the following bacterial strains: Agrobacterium tumefaciens GV2260, Pseudomonas fluorescens 55, Pseudomonas putida KT2440, Pseudomonas syringae pv. tomato (Pst) DC3000, Pst DC3000 deltahrcQ-U deltafliC and Pst DC3000 deltaavrPto deltaavrPtoB. NOTE: Samples in SRA were assigned the same sample accession. This is incorrect as there are different samples, hence âSource Nameâ was replaced with new values. Comment[ENA_SAMPLE] contains the original SRA sample accessions.

2013-08-21 | E-MTAB-4789 | biostudies-arrayexpress

iSB09 elicits ABA-responsive gene expression in Solanum lycopersicum seedlings

Project description:To compare the genome-wide transcriptional effect of ABA and iSB09 in tomato plants, we performed RNA-seq analysis of mock-, 10 uM ABA- or 20 uM iSB09-treated plants. Differential gene expression analysis between mock- and ABA-treated or iSB09-treated seedlings was done with DESeq2 and genes with an absolute value of log2 fold change (log2FC) > 1 or (log2FC) < -1 and p-adjusted value (padj) < 0.05 were selected. iSB09 upregulated and downregulated genes represent a subset of the ABA-responsive genes, which reflects the activation of PYL1-like and PYL4-like ABA receptors in tomato seedlings.

2024-07-22 | GSE256238 | GEO

Solanum lycopersicum

Project description:Effect of overexpressing E2FB in tomato plants

| PRJNA130403 | ENA

Solanum lycopersicum

Project description:tomato HiFi raw sequence reads

| PRJNA733299 | ENA

Solanum lycopersicum

Project description:Tomato Leaf Raw sequence reads

| PRJNA858207 | ENA

The Solanum lycopersicum WRKY3 Transcription Factor Regulates Salt Stress Tolerance In Tomato

Project description:The tomato SlWRKY3 transcription factor was overexpressed in cultivated tomato (Solanum lycopersicum)and transgenic plants transcriptome was compared to that of wild-type plants.

2016-03-15 | GSE74504 | GEO

Solanum lycopersicum

Project description:4plex_tomato_2013_03: Effect of drought stress on the transcriptome of tomato leaves

| PRJNA287044 | ENA

Effect of Penicillium chrysogenum, Penicillium minioluteum, and Serendipita indica on gene expression in Solanum lycopersicum plants under control and drought stress conditions

Project description:Plants coexist in close proximity with numerous microorganisms in their rhizosphere. With certain microorganisms, plants establish mutualistic relationships that can confer physiological benefits to the interacting organisms, including enhanced nutrient assimilation or increased stress tolerance. The root-colonizing endophytic fungi Penicillium chrysogenum, Penicillium minioluteum, and Serendipita indica have been reported to enhance the drought stress tolerance of plants. However, to date, the molecular mechanisms triggered by these fungi in plants remain unexplored. This study presents a comparative analysis of the effects on mock- and fungus-infected tomato plants (var. Moneymaker) under drought stress conditions (40% field capacity) and control conditions (100% field capacity). The findings provide evidence for the induction of common response modules by the fungi.

2024-10-18 | GSE279454 | GEO

Calcium treatment can delay tomato (Solanum lycopersicum L.) fruit senescence

Project description:In the present study, we demonstrated that application of CaCl2 to ‘Micro Tom’ tomato fruit (mature green stage) delayed fruit senescence and mature.

2017-09-28 | GSE73520 | GEO

Niche differentiation of arsenic-transforming microbial groups in rice rhizosphere compartments as impacted by water management and soil-As concentrations

Project description:Arsenic (As) bioavailability in the rice rhizosphere is influenced by many microbial interactions, particularly by metal-transforming functional groups at the root-soil interface. This study was conducted to examine As-transforming microbes and As-speciation in the rice rhizosphere compartments, in response to two different water management practices (continuous and intermittently flooded), established on fields with high to low soil-As concentration. Microbial functional gene composition in the rhizosphere and root-plaque compartments were characterized using the GeoChip 4.0 microarray. Arsenic speciation and concentrations were analyzed in the rhizosphere soil, root-plaque, porewater and grain samples. Results indicated that intermittent flooding significantly altered As-speciation in the rhizosphere, and reduced methyl-As and AsIII concentrations in the pore water, root-plaque and rice grain. Ordination and taxonomic analysis of detected gene-probes indicated that root-plaque and rhizosphere assembled significantly different metal-transforming functional groups. Taxonomic non-redundancy was evident, suggesting that As-reduction, -oxidation and -methylation processes were performed by different microbial groups. As-transformation was coupled to different biogeochemical cycling processes establishing functional non-redundancy of rice-rhizosphere microbiome in response to both rhizosphere compartmentalization and experimental treatments. This study confirmed diverse As-biotransformation at root-soil interface and provided novel insights on their responses to water management, which can be applied for mitigating As-bioavailability and accumulation in rice grains.

2021-07-12 | GSE179671 | 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