Literature DB >> 29146840

Draft Genome Sequence of the Mucoid Pseudomonas aeruginosa Clinical Isolate PA34.

Lucas B Harrison1, Nancy D Hanson2.   

Abstract

Pseudomonas aeruginosa is a serious threat to patients suffering from cystic fibrosis. These organisms are exposed to a unique set of selective pressures within the lung. Here, we report the draft genome sequence of a mucoid P. aeruginosa clinical isolate obtained from a cystic fibrosis patient colonized with P. aeruginosa.
Copyright © 2017 Harrison and Hanson.

Entities:  

Year:  2017        PMID: 29146840      PMCID: PMC5690347          DOI: 10.1128/genomeA.01307-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Chronic Pseudomonas aeruginosa lung infections increase the morbidity and mortality of patients suffering from cystic fibrosis (1). These chronic infections can be caused by hypermutable P. aeruginosa populations colonized in the lung, leading to the emergence of an antibiotic-resistant phenotype (2, 3). This genome announcement details the sequence of PA34, a mucoid strain of P. aeruginosa isolated from the sputum of a 17-year-old patient suffering from cystic fibrosis with recurrent P. aeruginosa infections. This clinical isolate was resistant to piperacillin, gentamicin, amikacin, and ceftazidime while showing an intermediate resistance pattern to both tobramycin and cefepime (4). DNA was harvested from cultures grown overnight at 37°C in 10 ml of Mueller-Hinton broth under agitation using a Qiagen DNeasy blood and tissue DNA extraction kit. Genomic DNA was further purified using an Amicon Ultra centrifugal filtration column. Sequencing libraries were prepared using the Illumina Nextera XT DNA sample preparation kit using version 3 chemistry and optimized for 300-bp paired-end reads (5). The PA34 genome assembly was performed using both de Bruijn and string graph assemblers, and the resulting contigs were initially positioned using reference sequences of eight Pseudomonas aeruginosa isolates (GenBank accession no. CP007224, AP014839, CP012066, CP002496, CP007147, NC_011770, CP014948, and CP007399). Specifically, an initial de novo assembly was generated using SPAdes 3.10 and improved with RAGOUT to inform contig order and AlignGraph to close the gaps between scaffolds (6–8). The assembly was improved through iterative remapping of the reads to the assembly using iCORN2 to correct amplification errors and indel assembly artifacts (9). A separate library of contigs was generated using the SGA de novo assembler (10). String graph assemblers, such as SGA, are better suited to assemble contigs with low coverage and highly repetitive regions, regions that are challenging to de Bruijn graph assemblers like SPAdes (10). The final assembly was performed with the SPAdes assembler using the SGA-generated contigs to supplement de Bruijn graph construction, while the initial RAGOUT- and AlignGraph- improved assembly was used for gap closure and repeat resolution (6). Contigs with a coverage less than 5× were filtered out of the assembly. The resulting 6,302,340-bp genome had a mean read coverage of 75.59×, with 66.26% GC content. The assembly resulted in 17 contigs with N50 and N75 values of 1,682,555 and 1,069,832, respectively, and L50 and L75 values of 2 and 4, respectively. This assembly contained 6,023 genes encoding 5,863 protein-coding sequences, 65 tRNAs, 4 noncoding RNAs (ncRNAs), 13 rRNAs, and 78 pseudogenes, as identified by the NCBI Prokaryotic Genome Annotation Pipeline. ResFinder analysis of the genome identified the following antibiotic resistance genes: blaOXA-50, blaPAO, aph(3′)-IIb, catB7, and fosA (11).

Accession number(s).

This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession number PDLR00000000. The version described in this paper is version PDLR01000000.
  9 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Hypermutation is a key factor in development of multiple-antimicrobial resistance in Pseudomonas aeruginosa strains causing chronic lung infections.

Authors:  María D Maciá; David Blanquer; Bernat Togores; Jaume Sauleda; José L Pérez; Antonio Oliver
Journal:  Antimicrob Agents Chemother       Date:  2005-08       Impact factor: 5.191

3.  Efficient de novo assembly of large genomes using compressed data structures.

Authors:  Jared T Simpson; Richard Durbin
Journal:  Genome Res       Date:  2011-12-07       Impact factor: 9.043

4.  High frequency of hypermutable Pseudomonas aeruginosa in cystic fibrosis lung infection.

Authors:  A Oliver; R Cantón; P Campo; F Baquero; J Blázquez
Journal:  Science       Date:  2000-05-19       Impact factor: 47.728

5.  Iterative Correction of Reference Nucleotides (iCORN) using second generation sequencing technology.

Authors:  Thomas D Otto; Mandy Sanders; Matthew Berriman; Chris Newbold
Journal:  Bioinformatics       Date:  2010-06-18       Impact factor: 6.937

6.  Predictors of mortality in adults with cystic fibrosis.

Authors:  J M Courtney; J Bradley; J Mccaughan; T M O'Connor; C Shortt; C P Bredin; I Bradbury; J S Elborn
Journal:  Pediatr Pulmonol       Date:  2007-06

7.  Identification of acquired antimicrobial resistance genes.

Authors:  Ea Zankari; Henrik Hasman; Salvatore Cosentino; Martin Vestergaard; Simon Rasmussen; Ole Lund; Frank M Aarestrup; Mette Voldby Larsen
Journal:  J Antimicrob Chemother       Date:  2012-07-10       Impact factor: 5.790

8.  Ragout-a reference-assisted assembly tool for bacterial genomes.

Authors:  Mikhail Kolmogorov; Brian Raney; Benedict Paten; Son Pham
Journal:  Bioinformatics       Date:  2014-06-15       Impact factor: 6.937

9.  AlignGraph: algorithm for secondary de novo genome assembly guided by closely related references.

Authors:  Ergude Bao; Tao Jiang; Thomas Girke
Journal:  Bioinformatics       Date:  2014-06-15       Impact factor: 6.937

  9 in total
  2 in total

1.  lptG contributes to changes in membrane permeability and the emergence of multidrug hypersusceptibility in a cystic fibrosis isolate of Pseudomonas aeruginosa.

Authors:  Lucas B Harrison; Randal C Fowler; Baha Abdalhamid; Anna Selmecki; Nancy D Hanson
Journal:  Microbiologyopen       Date:  2019-04-12       Impact factor: 3.139

2.  Draft Genome Sequences of the Clinical Isolates Kp 23 and KPM 20.

Authors:  Alyssa K W Maclean; Nancy D Hanson
Journal:  Microbiol Resour Announc       Date:  2021-03-25
  2 in total

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