Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

M1UK reference genome

ABSTRACT: M1global and M1UK reference genomes sequenced with pacbio

PROVIDER: PRJEB68198 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	ERR12378139.fastq.gz	Fastqsanger.gz
	ERR12378140.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

Characterisation of the genetic mutation driving enhanced superantigen SpeA expression in Streptococcus pyogenes M1UK (initial)

Project description:A new variant of group A Streptococcus (GAS) serotype M1 (designated ‘M1UK’) has been reported in the United Kingdom, linked with seasonal scarlet fever surges, marked increase in invasive infections, and exhibiting enhanced expression of the superantigen SpeA. The progenitor GAS ‘M1global’ and M1UK clones can be differentiated by 27 SNPs and 4 indels, yet the mechanism for speA upregulation is unknown. Here we investigate the previously unappreciated expansion of M1UK in Australia, now isolated from the majority of serious infections caused by serotype M1 GAS. M1UK sub-lineages circulating in Australia also contain a novel toxin repertoire associated with epidemic scarlet fever causing GAS in Asia. A single SNP in the M1UK tmRNA gene ssrA drives enhanced SpeA superantigen expression as a result of ssrA terminator readthrough in the M1UK lineage. This represents a new paradigm of toxin expression and urges enhanced international surveillance.

2023-01-30 | GSE212238 | GEO

Characterisation of the genetic mutation driving enhanced superantigen SpeA expression in Streptococcus pyogenes M1UK (second SP1448)

2023-01-30 | GSE212242 | GEO

Characterisation of the genetic mutation driving enhanced superantigen SpeA expression in Streptococcus pyogenes M1UK (second SP1380)

2023-01-30 | GSE212241 | GEO

Characterisation of the genetic mutation driving enhanced superantigen SpeA expression in Streptococcus pyogenes M1UK (second 5448)

2023-01-30 | GSE212239 | GEO

CRSP: Comparative RNA-seq pipeline for species lacking both of sequenced genomes and reference transcripts

Project description:RNA sequencing (RNA-seq) has been a widely used high-throughput method to characterize transcriptomic dynamics spatiotemporally. However, typical RNA-seq data analysis pipelines depend on either a sequenced genome or reference transcripts. This constriction makes the use of RNA-seq for species lacking both of sequenced genomes and reference transcripts challenging. To solve this problem, we developed CRSP, an RNA-seq pipeline integrating multiple comparative species strategy but not depending on a specific sequenced genome or reference transcripts. Benchmarking suggests the CRSP tool can achieve high accuracy to quantify gene expression levels.

2023-08-10 | GSE194237 | GEO

Salmonella reference genomes

Project description:Salmonella reference genomes

| PRJEB49424 | ENA

Whole-genome sequencing of type and reference strains

Project description:Genomes of reference strains

| PRJEB82632 | ENA

Differential DNA Methylation Analysis without a Reference Genome

Project description:Genome-wide DNA methylation mapping uncovers epigenetic changes associated with animal development, environmental adaptation, and species evolution. To address the lack of high-throughput methods for studying DNA methylation in non-model organisms, we developed an integrated approach for studying DNA methylation differences without a reference genome. Experimentally, our method relies on an optimized 96-well protocol for reduced representation bisulfite sequencing (RRBS), which we have validated in nine species (human, mouse, rat, cow, dog, chicken, zebrafish, carp, and sea bass). Bioinformatically, we developed the RefFreeDMA software (http://RefFreeDMA.computational-epigenetics.org) to deduce ad hoc genomes directly from RRBS reads and to pinpoint differentially methylated regions. These regions are interpreted using motif enrichment analysis and/or cross-mapping to annotated genomes. We validated our method by reference-free analysis of cell type-specific DNA methylation in the blood of human, cow, and carp. In summary, we present a cost-effective method for epigenome analysis in ecology and evolution, which enables epigenome-wide association studies in natural populations and species without a reference genome.

2015-12-03 | GSE74026 | GEO

Identification and characterization of miRNAs in oilseed rape (Brassica napus) responsive to the pathogenic fungus Verticillium longisporum infection using Brassica AA (B. rapa) and CC (B. oleracea) as reference genomes

Project description:we deep-sequenced two small RNA libraries made from V. longisporum infected/non-infected roots and employed Brassica rapa and Brassica oleracea genomes as reference for miRNA prediction and characterization as well. We identified 893 B. napus miRNAs representing 360 conserved and 533 novel miRNAs, and mapped 429 and 464 miRNAs to AA and CC genomes, respectively. Among them, 62 miRNAs were responsive to the V. longisporum infection.

2014-10-06 | GSE58322 | GEO

Comparative genomic hybridization of genomic DNA from two B. bronchiseptica strains and one B. pertussis strain and sequenced reference genomes by comparative genome hybridization (CGH)

Project description:Genomic DNA from two B. bronchiseptica strains and one B. pertussis strain were compared to the sequenced reference genomes by comparative genome hybridization (CGH).

2006-03-31 | E-MEXP-399 | biostudies-arrayexpress

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