Literature DB >> 24459261

Genome Sequence of the Small-Colony Variant Pseudomonas aeruginosa MH27, Isolated from a Chronic Urethral Catheter Infection.

Petra Tielen1, Daniel Wibberg, Jochen Blom, Nathalie Rosin, Ann-Kathrin Meyer, Boyke Bunk, Max Schobert, Reinhilde Tüpker, Sarah Schatschneider, Christian Rückert, Andreas Albersmeier, Alexander Goesmann, Frank-Jörg Vorhölter, Dieter Jahn, Alfred Pühler.   

Abstract

Pseudomonas aeruginosa is a notable nosocomial pathogen causing severe chronic infections. Here we present the draft genome sequence of P. aeruginosa MH27, isolated from a patient with a chronic hospital-acquired catheter-associated urinary tract infection. The 7.1-Mb genome sequence organized in 24 scaffolds contributes to the understanding of biofilm formation and antibiotic resistance.

Entities:  

Year:  2014        PMID: 24459261      PMCID: PMC3900893          DOI: 10.1128/genomeA.01174-13

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Pseudomonas aeruginosa is one of the most frequent pathogens causing complicated catheter-associated urinary tract infections (CAUTIs) (1, 2). Such infections are based on the formation of biofilms (3). Highly adherent small-colony variants of P. aeruginosa reveal enhanced ability to form biofilms (4) and express resistance to antibiotics (5). These are major problems during eradication of these infections, which may become chronic as a consequence. Here we describe the draft genome of P. aeruginosa MH27 isolated from a chronic CAUTI. The strain exhibits a small-colony morphology typically known from isolates of chronic cystic fibrosis lung infections (5) resulting in a highly aggregative phenotype. Moreover, the strain is cytotoxic and multidrug resistant and exhibits high production of virulence factors (6, 7). To obtain the draft genome sequence, we extracted genomic DNA of P. aeruginosa MH27 to construct a paired-end library for shotgun sequencing with the Genome Sequencer FLX (GS FLX) system using Titanium technology (Roche) as described recently (8). Standard protocols were followed according to the manufacturers' instructions. Assembly with the GS De Novo Assembly software (Newbler) covered 228,274,133 bases from 1,035,681 aligned individual reads, among them 228,178 paired-end reads. The assembly resulted in 31 contigs that were organized into 24 scaffolds by using the paired-end information. The scaffolds covered 7,155,691 bp, with an average coverage of 32× by shotgun reads. The genome had a G+C content of 65.87%. Automated genome annotation was carried out using the GenDB software (9). After automated prediction and subsequent manual curation, 6,297 protein-coding sequences (CDS) and 78 RNA-coding genes were identified for the P. aeruginosa MH27 genome. Three copies of the 5S, 16S, and 23S rRNA genes were identified, and 63 tRNAs were predicted. The genome sequence was compared with the core genome of P. aeruginosa using the software EDGAR (10). Thereby, 226 unique CDS were identified in the MH27 genome. Among these, 39 genes were found to be involved in metabolism. We concluded that the metabolism is specialized for adaptation to urinary tract conditions. Furthermore, several genes were found that are involved in osmotic stress protection, like the Na+/H+ antiporter gene nhaA (PAMH27_2188) and a gene encoding a compatible solute glycine betaine transporter (PAMH27_5169 to PAMH27_5171). Enhanced antibiotic resistance was correlated to genes coding for the mercuric reductase MerA (PAMH27_5101), TniB (PAMH27_6063), which is involved in mercury resistance and transposition, and a transcriptional regulator of the AmpR family (PAMH27_5166) and to genes for the efflux pump OpmR (PAMH27_0614) and for a drug resistance-mediating transporter (PAMH27_5898 to PAMH27_5890). Functional analyses based on comparative genomics utilizing this genome will facilitate a deeper understanding of urinary tract infections caused by P. aeruginosa.

Nucleotide sequence accession numbers.

Sequence data related to this whole genome shotgun project have been deposited in DDBJ/EMBL/GenBank under the accession no. CBTR000000000. The version described in this paper is the first version, CBTR000000000.1.
  10 in total

1.  GenDB--an open source genome annotation system for prokaryote genomes.

Authors:  Folker Meyer; Alexander Goesmann; Alice C McHardy; Daniela Bartels; Thomas Bekel; Jörn Clausen; Jörn Kalinowski; Burkhard Linke; Oliver Rupp; Robert Giegerich; Alfred Pühler
Journal:  Nucleic Acids Res       Date:  2003-04-15       Impact factor: 16.971

Review 2.  The role of biofilm infection in urology.

Authors:  P Tenke; B Kovacs; M Jäckel; E Nagy
Journal:  World J Urol       Date:  2006-01-10       Impact factor: 4.226

3.  Susceptibility of Pseudomonas aeruginosa urinary tract isolates and influence of urinary tract conditions on antibiotic tolerance.

Authors:  Maike Narten; Nathalie Rosin; Max Schobert; Petra Tielen
Journal:  Curr Microbiol       Date:  2011-10-08       Impact factor: 2.188

4.  Complicated urinary tract infection caused by Pseudomonas aeruginosa in a single institution (1999-2003).

Authors:  Katsumi Shigemura; Soichi Arakawa; Yutaka Sakai; Shohiro Kinoshita; Kazushi Tanaka; Masato Fujisawa
Journal:  Int J Urol       Date:  2006-05       Impact factor: 3.369

5.  Genotypic and phenotypic characterization of Pseudomonas aeruginosa isolates from urinary tract infections.

Authors:  Petra Tielen; Maike Narten; Nathalie Rosin; Ilona Biegler; Isam Haddad; Michael Hogardt; Rüdiger Neubauer; Max Schobert; Lutz Wiehlmann; Dieter Jahn
Journal:  Int J Med Microbiol       Date:  2010-12-30       Impact factor: 3.473

6.  Pseudomonas biofilm formation and antibiotic resistance are linked to phenotypic variation.

Authors:  Eliana Drenkard; Frederick M Ausubel
Journal:  Nature       Date:  2002-04-18       Impact factor: 49.962

Review 7.  The etiology of urinary tract infection: traditional and emerging pathogens.

Authors:  Allan Ronald
Journal:  Dis Mon       Date:  2003-02       Impact factor: 3.800

Review 8.  Biofilm formation by the small colony variant phenotype of Pseudomonas aeruginosa.

Authors:  Susanne Häussler
Journal:  Environ Microbiol       Date:  2004-06       Impact factor: 5.491

9.  The complete genome sequence of the acarbose producer Actinoplanes sp. SE50/110.

Authors:  Patrick Schwientek; Rafael Szczepanowski; Christian Rückert; Jörn Kalinowski; Andreas Klein; Klaus Selber; Udo F Wehmeier; Jens Stoye; Alfred Pühler
Journal:  BMC Genomics       Date:  2012-03-23       Impact factor: 3.969

10.  EDGAR: a software framework for the comparative analysis of prokaryotic genomes.

Authors:  Jochen Blom; Stefan P Albaum; Daniel Doppmeier; Alfred Pühler; Frank-Jörg Vorhölter; Martha Zakrzewski; Alexander Goesmann
Journal:  BMC Bioinformatics       Date:  2009-05-20       Impact factor: 3.169

  10 in total
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1.  Pyomelanin-producing Pseudomonas aeruginosa selected during chronic infections have a large chromosomal deletion which confers resistance to pyocins.

Authors:  Didier Hocquet; Marie Petitjean; Laurence Rohmer; Benoît Valot; Hemantha D Kulasekara; Elodie Bedel; Xavier Bertrand; Patrick Plésiat; Thilo Köhler; Alix Pantel; Michael A Jacobs; Lucas R Hoffman; Samuel I Miller
Journal:  Environ Microbiol       Date:  2016-06-02       Impact factor: 5.491

2.  Within-Host Microevolution of Pseudomonas aeruginosa Urinary Isolates: A Seven-Patient Longitudinal Genomic and Phenotypic Study.

Authors:  Agnès Cottalorda; Marie Leoz; Sandrine Dahyot; François Gravey; Maxime Grand; Thomas Froidure; Fabien Aujoulat; Simon Le Hello; Estelle Jumas-Bilak; Martine Pestel-Caron
Journal:  Front Microbiol       Date:  2021-01-14       Impact factor: 5.640

Review 3.  Role of small colony variants in persistence of Pseudomonas aeruginosa infections in cystic fibrosis lungs.

Authors:  Jacob G Malone
Journal:  Infect Drug Resist       Date:  2015-07-29       Impact factor: 4.003

4.  Commentary: Tolerance and Resistance of Pseudomonas aeruginosa Biofilms to Antimicrobial Agents-How P. aeruginosa Can Escape Antibiotics.

Authors:  Anaïs Soares; François Caron; Manuel Etienne
Journal:  Front Microbiol       Date:  2019-09-18       Impact factor: 5.640

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