Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rickettsiales [taxid 766]

ABSTRACT: Genome sequencing and assembly of Rickettsiales bacteria associated with ciliate protists

PROVIDER: PRJNA831616 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR19055992_1.fastq.gz	Fastqsanger.gz
	SRR19055992_2.fastq.gz	Fastqsanger.gz
	SRR19164918_1.fastq.gz	Fastqsanger.gz
	SRR19164918_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Rickettsiales bacterium

Project description:Marine Rickettsiales genomes

| PRJNA746308 | ENA

Rickettsiales bacterium

Project description:Rickettsiales bacterium overview

| PRJNA748484 | ENA

Rickettsiales bacterium Ac37b

Project description:Rickettsiales bacterium Ac37b Genome sequencing

| PRJNA256465 | ENA

Rickettsiales genera incertae sedis

Project description:Rickettsiales genera incertae sedis Genome sequencing

| PRJNA254818 | ENA

Rickettsiales bacterium strain:JGI CrystG Aug08-2-H10

Project description:Rickettsiales bacterium strain:JGI CrystG Aug08-2-H10 Genome sequencing

| PRJNA403030 | ENA

An Emerging Threat to Honey Bees from the Parasitic Phorid Fly Apocephalus borealis

Project description:Pathogen detection microarrays analyzing honeybee samples taken after parasitization with a predatory fly, oligos correspond to specific pathogens or pathogen families of viruses, bacteria, fungi, protists, and other parasites Samples were analyzed with the E-Predict analysis package.

2012-08-01 | GSE29749 | GEO

Temporal Analysis of the Honey Bee Microbiome Reveals Four Novel Viruses and Seasonal Prevalence of Known Viruses, Nosema, and Crithidia

2011-06-06 | GSE28235 | GEO

An Emerging Threat to Honey Bees from the Parasitic Phorid Fly Apocephalus borealis

2012-07-31 | E-GEOD-29749 | biostudies-arrayexpress

Temporal Analysis of the Honey Bee Microbiome Reveals Four Novel Viruses and Seasonal Prevalence of Known Viruses, Nosema, and Crithidia

Project description:Pathogen detection microarrays analyzing honeybee samples taken from the same hives over the course of a year, oligos correspond to specific pathogens or pathogen families of viruses, bacteria, fungi, protists, and other parasites Samples were analyzed with the E-Predict analysis package Twenty hives samples biweekly, Timepoint refers to sample collection week after start, where T01 refers to April 15, 2009. Hive refers to the specific hive sampled.

2011-06-06 | E-GEOD-28235 | biostudies-arrayexpress

A metabolic dependency for host isoprenoids in the obligate intracellular pathogen Rickettsia parkeri underlies a sensitivity for the statin class of host-targeted therapeutics

Project description:Gram-negative bacteria in the order Rickettsiales are obligate intracellular parasites that cause human diseases such typhus and spotted fever. They have evolved a dependence on essential nutrients and metabolites from the host cell as a consequence of extensive genome streamlining. However, it remains largely unknown which nutrients they require and whether their metabolic dependency can be exploited therapeutically. Here, we describe a genetic rewiring of bacterial isoprenoid biosynthetic pathways in the Rickettsiales that has resulted from reductive genome evolution. We further investigated whether the spotted fever group Rickettsia species Rickettsia parkeri scavenges isoprenoid precursors directly from the host. Using targeted mass spectrometry in uninfected and infected cells, we found decreases in host isoprenoid products and concomitant increases in bacterial isoprenoid metabolites. Additionally, we report that bacterial growth is prohibited by inhibition of the host isoprenoid pathway with the statins class of drugs. We show that growth inhibition correlates with changes in bacterial size and shape that mimic those caused by antibiotics that inhibit peptidoglycan biosynthesis, suggesting statins inhibit cell wall synthesis. Altogether, our results describe an Achilles' heel of obligate intracellular pathogens that can be exploited with host-targeted therapeutics that interfere with metabolic pathways required for bacterial growth.

2019-10-31 | MTBLS846 | MetaboLights

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