Literature DB >> 24625869

Genome Sequence of the Acute Urethral Catheter Isolate Pseudomonas aeruginosa MH38.

Daniel Wibberg1, Petra Tielen, Jochen Blom, Nathalie Rosin, Max Schobert, Reinhilde Tüpker, Sarah Schatschneider, Dominik Spilker, Andreas Albersmeier, Alexander Goesmann, Frank-Jörg Vorhölter, Alfred Pühler, Dieter Jahn.   

Abstract

Pseudomonas aeruginosa is a major nosocomial bacterial pathogen causing complicated catheter-associated urinary tract infections (CAUTIs). Here, we present the 6.9-Mb draft genome sequence of P. aeruginosa MH38 isolated from an acute nosocomial CAUTI. It exhibits resistance to several antibiotics but revealed low-level production of virulence factors.

Entities:  

Year:  2014        PMID: 24625869      PMCID: PMC3953190          DOI: 10.1128/genomeA.00161-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Pseudomonas aeruginosa is one of the most common Gram-negative nosocomial pathogens. Besides causing infections of the lungs, ears, and eyes, it is known as one of the major agents causing complicated catheter-associated urinary tract infections (CAUTIs) (1, 2). The production of a specific set of virulence factors and the enormous metabolic adaptability of P. aeruginosa often result in serious urinary tract infections (3). Here, we describe the draft genome of P. aeruginosa MH38, isolated from an acute nosocomial CAUTI. The strain exhibits a nonmotile capsulated phenotype, with a low level of production of virulence factors but resistances to various antibiotics (3, 4). In order to obtain its draft genome sequence, we extracted genomic DNA of P. aeruginosa MH38 to construct a paired-end library for shotgun sequencing on the Genome Sequencer FLX (GS FLX) system using Titanium technology (Roche), as described recently (5). The standard protocols were applied according to the manufacturer’s instructions. Assembly with the GS de novo Assembler software (Newbler) covered 216,518,852 bases from 958,125 aligned individual reads, with 345,167 paired-end reads among them. The assembly resulted in 141 contigs, which were organized in 9 scaffolds. The scaffolds consist of 6,889,973 bp, with an average coverage of 31.1× by shotgun reads. The genome has a G+C content of 65.83%. Automated genome annotation was carried out using the GenDB software (6). This resulted in the prediction of 6,089 protein-coding sequences (CDSs). Five copies of the 5S, 16S, and 23S rRNA genes were identified, and 65 tRNAs were predicted. The genome sequence was compared with the core genome of P. aeruginosa using the software EDGAR (7). Thereby, 258 unique CDSs were identified in the MH38 genome. Among these, 59 phage- and 5 transposon-associated genes were found. Moreover, 3 genes involved in antibiotic resistance were predicted, plus 3 genes mediating metal resistance, 11 genes for regulators, 16 genes involved in metabolism, and 26 genes for virulence-related processes. Interestingly, a trb gene cluster encoding a type IV secretion system (P38_1269 to P38_1280, and P38_1979 to P38_1991), which is involved in the conjugal transfer of chromosomal and plasmid DNA in several Gram-negative bacteria (8, 9), was found. Moreover, genes were predicted for the autoinducer 2-degrading protein LsrG (P38_0246) and for synthetases of antimicrobial polypeptides, like bacitracin or gramicidin (P38_3486). Furthermore, additional genes may play a role in iron acquisition, such as a Fe3+-pyochelin receptor (P38_3479 to P38_3484) and the siderophore-interacting protein Sip (P38_6266). These proteins might contribute to meeting one of the major challenges in the urinary tract, the iron-limited environment (10). The obtained genome sequence provides a solid basis for functional genomics analyses for a deeper understanding of P. aeruginosa-based CAUTIs.

Nucleotide sequence accession numbers.

The sequence data related to this whole-genome shotgun project have been deposited in DDBJ/EMBL/GenBank under the accession no. CBTQ000000000. The version described in this paper is the first version, CBTQ000000000.1.
  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

2.  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

3.  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

4.  Cellular location and temperature-dependent assembly of IncHI1 plasmid R27-encoded TrhC-associated conjugative transfer protein complexes.

Authors:  M W Gilmour; T D Lawley; M M Rooker; P J Newnham; D E Taylor
Journal:  Mol Microbiol       Date:  2001-11       Impact factor: 3.501

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

Review 6.  The etiology of urinary tract infection: traditional and emerging pathogens.

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

7.  Conjugal transfer of chromosomal DNA in Mycobacterium smegmatis.

Authors:  L M Parsons; C S Jankowski; K M Derbyshire
Journal:  Mol Microbiol       Date:  1998-05       Impact factor: 3.501

8.  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

9.  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.  Regulatory and metabolic networks for the adaptation of Pseudomonas aeruginosa biofilms to urinary tract-like conditions.

Authors:  Petra Tielen; Nathalie Rosin; Ann-Kathrin Meyer; Katrin Dohnt; Isam Haddad; Lothar Jänsch; Johannes Klein; Maike Narten; Claudia Pommerenke; Maurice Scheer; Max Schobert; Dietmar Schomburg; Bernhard Thielen; Dieter Jahn
Journal:  PLoS One       Date:  2013-08-13       Impact factor: 3.240

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Authors:  Martin Arnold; Daniel Wibberg; Jochen Blom; Sarah Schatschneider; Anika Winkler; Yvonne Kutter; Christian Rückert; Andreas Albersmeier; Stefan Albaum; Alexander Goesmann; Sabine Zange; Jürgen Heesemann; Alfred Pühler; Michael Hogardt; Frank-Jörg Vorhölter
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2.  Draft Genome Sequence of Pseudomonas aeruginosa Strain WS394, a Multidrug-Resistant and Highly Cytotoxic Wound Isolate from Chronic Ulcus Cruris.

Authors:  Frank-Jörg Vorhölter; Martin Arnold; Daniel Wibberg; Jochen Blom; Anika Winkler; Prisca Viehoever; Andreas Albersmeier; Alexander Goesmann; Sabine Zange; Jürgen Heesemann; Alfred Pühler; Michael Hogardt
Journal:  Genome Announc       Date:  2014-12-18

3.  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
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  3 in total

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