Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bacillus velezensis strain:FJAT-45028

ABSTRACT: Bacillus velezensis strain:FJAT-45028 Genome sequencing

PROVIDER: PRJNA597411 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Bacillus velezensis strain:FJAT-46737

Project description:Bacillus velezensis strain:FJAT-46737 Genome sequencing

| PRJNA566265 | ENA

Bacillus velezensis strain:FJAT-52631

Project description:Bacillus velezensis strain:FJAT-52631 Genome sequencing

| PRJNA576327 | ENA

Bacillus velezensis strain GH1-13 LC-MS/MS

Project description:Bacillus velezensis strain GH1-13 isolated from a rice paddy soil in Korea has been reported to promote plant growth and inhibit some pathogens. It contains a plasmid pBV71, thought to be of benefit to the strain, but there is no information on its effect. In order to elicit the plasmid effect on gene expression, mRNA and protein levels were analyzed at various stages of bacterial growth. Comparative gene expression profiles between the plasmid-containing and plasmid-free cells revealed that strain GH1-13 activated a transient stress response in the exponential phase. It showed early activation of expression of sigma W operon, liaIHGFSR operon, and transcription regulators for transition state, associated with carbon catabolite repression and secondary metabolite biosynthesis of acetoin, bacillaene, and macrolactin.

2021-05-17 | PXD008573 | Pride

Grapevine response to a Dittrichia viscosa extract and a Bacillus velezensis strain

Project description:The present study aims to evaluate the response of the three Mediterranean local grapevines ‘Garnacha Blanca’, ‘Garnacha Tinta’, and ‘Macabeo’ to treatments with biocontrol products (BPs), a botanical extract (Akivi, Dittrichia viscosa extract) and a beneficial microorganism (Bacillus UdG, Bacillus velezensis). A combination of transcriptomics and metabolomics approaches were chosen in order to study grapevine gene expression and to identify gene marker candidates, as well as, to determine grapevine metabolites differentially concentrated in response to BPs treatments. Grapevine plants were cultivated in greenhouse controlled conditions and submitted to the treatments, and thereafter, leaves were sampled 24h after treatment to conduct gene expression study by RNA-sequencing for ‘Garnacha Blanca’ leaves extract and by RT-qPCR for the three cultivars. Differentially expressed genes (DEGs) were investigated for both treatments and highly influenced DEGs were selected to be tested in the three cultivars as treatment gene markers. In addition, extraction of leaf components was performed to quantify metabolites such as phytohormones, organic acids, and phenols. Considering all the upregulated and downregulated genes and enhanced metabolites concentrations, the treatments had an effect on jasmonic acid, ethylene, and phenylpropanoids defense pathways. In addition, several DEG markers were identified presenting a stable overexpression after the treatments in the three grapevine cultivars. These gene markers could be used to monitor the activity of the products in field treatments in future research. Further research will be necessary to confirm these first results under field conditions.

2022-12-18 | GSE211268 | GEO

Bacillus subtilis strain:FJAT-4

Project description:Bacillus subtilis strain:FJAT-4 Genome sequencing

| PRJNA760656 | ENA

Bacillus gobiensis strain:FJAT-4402

Project description:Bacillus gobiensis strain:FJAT-4402 Genome sequencing

| PRJNA293641 | ENA

Bacillus pumilus strain:FJAT-56819

Project description:Bacillus pumilus strain:FJAT-56819 Genome sequencing

| PRJNA1200145 | ENA

Bacillus velezensis

Project description:Bacillus velezensis strain:SWUJ1 Genome sequencing