U.S. flag

An official website of the United States government

Format

Send to:

Choose Destination

Links from BioSample

ERX3396815: HiSeq X Ten paired end sequencing
1 ILLUMINA (Illumina HiSeq X Ten) run: 1.3M spots, 378.7M bases, 97.1Mb downloads

Design: Illumina sequencing of library DN520487L:H6, constructed from sample accession ERS2428361 for study accession ERP105033. This is part of an Illumina multiplexed sequencing run (25964_1). This submission includes reads tagged with the sequence TTCAGCTC.
Submitted by: Wellcome Sanger Institute
Study: _Genomes_for_HGT_prediction__Predicting_horizontal_gene_transfer_in_E__coli_and_Salmonella_enterica
show Abstracthide Abstract
We propose to disclose candidate drug targets controlling the horizontal cell-cell transmission of anti-microbial resistance (AMR) and to predict AMR and its transmission dynamics from bacterial genome composition. We will integrate leading expertise from bacteriology, -omics and mathematical biology in the development of an integrated theoretical-empirical framework of plasmid borne transmission of AMR cassettes. We will employ massive-scale experimental evolution of Escherichia coli and Salmonella enterica gene deletion and overexpression collections, where adaptation requires transfer of AMR carrying conjugative plasmids. In addition, we will select for, identify and functionally dissect de novo mutations that promote horizontal transmission during long-term experimental evolution. Both approaches will disclose cellular functions controlling horizontal AMR transmission that are candidate targets for helper drugs delaying AMR development and spread. Second, we will sequence vast swaths of the genotype space inhabited by clinical bacterial isolates and disclose variants likely to alter transmission properties. DNA sequence data will be complemented by data on transcriptome, proteome and antibiotics resistance, allowing causally cohesive reconstruction of the history of antibiotics resistance. Third, we will integrate the omics data into a mathematical framework capable of predicting AMR transmission in clinical isolates, thereby laying the foundations for a future personalized medicine that tailors antibiotic choice to infection.
Sample: GU683
SAMEA4607664 • ERS2428361 • All experiments • All runs
Library:
Name: DN520487L:H6
Instrument: Illumina HiSeq X Ten
Strategy: WGS
Source: GENOMIC
Selection: RANDOM
Layout: PAIRED
Construction protocol: Standard
Runs: 1 run, 1.3M spots, 378.7M bases, 97.1Mb
Run# of Spots# of BasesSizePublished
ERR33726631,253,933378.7M97.1Mb2019-06-15

ID:
8121784

Supplemental Content

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...