Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Investigation of Antibiotic resistant genes

ABSTRACT: The occurrence, prevalence and fate of antibiotic resistant genes and microbial community in Ili river

PROVIDER: PRJEB49834 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR7918342.fastq.gz	Fastqsanger.gz
	ERR7918362.fastq.gz	Fastqsanger.gz
	ERR7927760.fastq.gz	Fastqsanger.gz
	ERR7927770.fastq.gz	Fastqsanger.gz
	ERR7927780.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 38

Similar Datasets

Investigation of Antibiotic resistant genes

Project description:The occurrence, prevalence and fate of antibiotic resistant genes and microbial community in Ili river

| PRJEB49834 | ENA

Project description:EMG produced TPA metagenomics assembly of PRJEB49834 data set (The occurrence, prevalence and fate of antibiotic resistant genes and microbial community in Ili river).

| PRJEB52631 | ENA

Collateral sensitivity of antibiotic resistant bacteria to antimicrobial peptides

Project description:Cationic antimicrobial peptides (CAPs) are promising novel alternatives to conventional antibacterial agents, but the overlap in resistance mechanisms between small-molecule antibiotics and CAPs is unknown. Does evolution of antibiotic resistance decrease (cross-resistance) or increase (collateral sensitivity) susceptibility to CAPs? We systematically addressed this issue by studying the susceptibilities of a comprehensive set of antibiotic resistant Escherichia coli strains towards 24 antimicrobial peptides. Strikingly, antibiotic resistant bacteria frequently showed collateral sensitivity to CAPs, while cross-resistance was relatively rare. We identified clinically relevant multidrug resistance mutations that simultaneously elevate susceptibility to certain CAPs. Transcriptome and chemogenomic analysis revealed that such mutations frequently alter the lipopolysaccharide composition of the outer cell membrane and thereby increase the killing efficiency of membrane-interacting antimicrobial peptides. Furthermore, we identified CAP-antibiotic combinations that rescue the activity of existing antibiotics and slow down the evolution of resistance to antibiotics. Our work provides a proof of principle for the development of peptide based antibiotic adjuvants that enhance antibiotic action and block evolution of resistance.

2018-03-29 | GSE96706 | GEO

Phage-plasmids spread antibiotic resistant genes.

Project description:Phage-plasmids produce antibiotic resistant lysogens

| PRJEB52357 | ENA

Transcription profiling by array of Burkholderia cenocepacia antibiotic adapted resistant mutants after antibiotic stress

Project description:The response of antibiotic adapted resistant mutants of B. cenocepacia J2315 to antibiotic stress was investigated using expression profiling of three biological replicates and comparing the profiles to the J2315 parent control grown without antibiotics.<br>A reference design was used with Cy3 labeled genomic DNA of B. cenocepacia J2315 as common reference. Three test conditions with three biological replicates each were compared to three replicates of the control condition.<br>Test conditions: J2315-A grown in the presence of 250 ug per ml amikacin, J2315-M grown in the presence of 8 ug per ml meropenem and J2315-T grown in the presence of 60 ug per ml trimethoprim and 300 ug per ml sulfamethoxazole.<br>Control condition: J2315 parent strain grown without antibiotics.

2010-08-12 | E-MEXP-2708 | biostudies-arrayexpress

Antibiotic Resistant Organisms

Project description:Analysis of Antibiotic Resistant Organisms recovered from Clinical and Environmental Sources in Manitoba, Canada Genome sequencing and assembly

| PRJNA511988 | ENA

Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative - Escherichia coli MS14386

Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pyogenes, and Streptococcus pneumoniae. This submission pertains to strains MS14386.

2021-07-01 | GSE152969 | GEO

Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative - Escherichia coli MS14387

2021-07-01 | GSE152968 | GEO

Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative - Escherichia coli MS14384

2021-07-01 | GSE152967 | GEO

Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative - Escherichia coli B36

2021-07-01 | GSE152966 | GEO