Literature DB >> 27516516

Draft Genome Sequences of Pseudomonas aeruginosa Isolates from Wounded Military Personnel.

Brock A Arivett1, Dave C Ream2, Steven E Fiester2, Destaalem Kidane3, Luis A Actis4.   

Abstract

Pseudomonas aeruginosa, a Gram-negative bacterium that causes severe hospital-acquired infections, is grouped as an ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) pathogen because of its extensive drug resistance phenotypes and effects on human health worldwide. Five multidrug resistant P. aeruginosa strains isolated from wounded military personnel were sequenced and annotated in this work.
Copyright © 2016 Arivett et al.

Entities:  

Year:  2016        PMID: 27516516      PMCID: PMC4982295          DOI: 10.1128/genomeA.00829-16

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Pseudomonas aeruginosa is a common environmental Gram-negative bacillus bacterium often associated with nosocomial infections including chronic lung infections in cystic fibrosis patients and bacteremia in burn victims. Human infections with P. aeruginosa can likely be traced back to 1862 when Luke observed rod-shaped particles in the blue-green pus of infections allowing this bacterium the opportunity to develop into a formidable human pathogen (1). Nosocomial pathogens, such as P. aeruginosa, have developed sophisticated resistance mechanisms since the introduction of antibiotics into the clinical setting (2). P. aeruginosa is currently the second most prevalent Gram-negative nosocomial pathogen preceded by Escherichia coli with as many as 2% of P. aeruginosa isolates specifically presenting with carbapenem-resistance (3). P. aeruginosa is referred to as an ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) pathogen due to its ability to escape the lethal action of antibiotics (4). In order to develop a broader understanding of the mechanisms by which nosocomial P. aeruginosa strains escape death by antibiotics, the genome sequences of five P. aeruginosa strains isolated from wounded soldiers at the Walter Reed Army Medical Center (WRAMC) were determined using next-generation sequencing methods for future bioinformatic analyses. Strains routinely stored at −80°C in 10% glycerol (5) were used to isolate total DNA from overnight LB cultures grown with agitation at 37°C using the DNeasy blood and tissue kit (Qiagen, Valencia, CA, USA). Absorption at 260 nm and 280 nm was measured for each sample to determine quantity and quality using the Nanodrop 2000 (Thermo Scientific, Wilmington, DE, USA). DNA concentrations for library preparation were determined by the SYBR green (Life Technologies, Grand Island, NY, USA) standard curve method in black 96-well plates (Corning, Tewksbury, MA, USA) using a FilterMax F5 spectrophotometer with Multi-Mode Analysis software version 3.4.0.25 (Molecular Devices, Sunnyvale, CA, USA). Whole DNA was sheared to approximately 500 bp in microTUBE-50 using M220 Focused-ultrasonicator (Covaris, Woburn, MA, USA). Fragmentation of resultant libraries was examined with a Bioanalyzer 2100 High Sensitivity DNA analysis kit (Agilent Technologies, Santa Clara, CA, USA) using version B.02.08.SI648 software. Individual libraries were normalized, pooled, and then sequenced using MiSeq v3 600-cycle kit (Illumina, San Diego, CA, USA) to perform 300-bp paired-end sequencing on a MiSeq instrument (Illumina) per manufacturer’s instructions. De novo assembly was performed using Genomics Workbench 8.0 with the bacterial genome finishing module (CLC bio, Boston, MA, USA) on a workstation with an AMD Opteron 2.10 GHz 16-core processor with 128 GB DDR3 ECC RAM. Genomes were annotated with Prokka version 1.10 on a quadcore i7 workstation with 32 GB DDR3 running Ubuntu 14.04 LTS (6). The de novo assembly statistics for the five P. aeruginosa sequenced isolates are shown in Table 1.
TABLE 1 

Assembly metrics and accession numbers of Pseudomonas aeruginosa genomes

Strain IDNo. of contigsN50 contigs (bp)Total size (bp)Coverage (×)G+C content (%)No. of ORFsaNo. of RNAsAccession no.
105777105179,4757,408,5613065.337,01267LODH00000000
10581963302,5337,208,9272665.656,70368LOHH00000000
10588086215,1916,914,2711765.986,49060LOHI00000000
10585793304,4606,933,7652765.996,56367LOHJ00000000
105738137102,6646,783,1463966.066,26967LOHK00000000

Open reading frames.

Assembly metrics and accession numbers of Pseudomonas aeruginosa genomes Open reading frames.

Accession number(s).

The whole-genome shotgun projects were deposited into GenBank under Bioproject ID PRJNA261239 with accession numbers listed in Table 1.
  6 in total

Review 1.  Establishment of Pseudomonas aeruginosa infection: lessons from a versatile opportunist.

Authors:  J B Lyczak; C L Cannon; G B Pier
Journal:  Microbes Infect       Date:  2000-07       Impact factor: 2.700

2.  Federal funding for the study of antimicrobial resistance in nosocomial pathogens: no ESKAPE.

Authors:  Louis B Rice
Journal:  J Infect Dis       Date:  2008-04-15       Impact factor: 5.226

Review 3.  Pseudomonas aeruginosa: all roads lead to resistance.

Authors:  Elena B M Breidenstein; César de la Fuente-Núñez; Robert E W Hancock
Journal:  Trends Microbiol       Date:  2011-06-12       Impact factor: 17.079

4.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

5.  NHSN annual update: antimicrobial-resistant pathogens associated with healthcare-associated infections: annual summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2006-2007.

Authors:  Alicia I Hidron; Jonathan R Edwards; Jean Patel; Teresa C Horan; Dawn M Sievert; Daniel A Pollock; Scott K Fridkin
Journal:  Infect Control Hosp Epidemiol       Date:  2008-11       Impact factor: 3.254

6.  Draft Genome Sequences of Klebsiella pneumoniae Clinical Type Strain ATCC 13883 and Three Multidrug-Resistant Clinical Isolates.

Authors:  Brock A Arivett; David C Ream; Steven E Fiester; Katrin Mende; Clinton K Murray; Mitchell G Thompson; Shrinidhi Kanduru; Amy M Summers; Amanda L Roth; Daniel V Zurawski; Luis A Actis
Journal:  Genome Announc       Date:  2015-01-15
  6 in total
  1 in total

1.  A Rapid Phenotypic Whole-Cell Screening Approach for the Identification of Small-Molecule Inhibitors That Counter β-Lactamase Resistance in Pseudomonas aeruginosa.

Authors:  Deanna Collia; Thomas D Bannister; Hao Tan; Shouguang Jin; Taimour Langaee; Justin Shumate; Louis Scampavia; Timothy P Spicer
Journal:  SLAS Discov       Date:  2017-08-29       Impact factor: 3.341

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.