mBio (Aug 2014)

<italic toggle="yes">In Vivo</italic> mRNA Profiling of Uropathogenic <named-content content-type="genus-species">Escherichia coli</named-content> from Diverse Phylogroups Reveals Common and Group-Specific Gene Expression Profiles

  • Piotr Bielecki,
  • Uthayakumar Muthukumarasamy,
  • Denitsa Eckweiler,
  • Agata Bielecka,
  • Sarah Pohl,
  • Ansgar Schanz,
  • Ute Niemeyer,
  • Tonio Oumeraci,
  • Nils von Neuhoff,
  • Jean-Marc Ghigo,
  • Susanne Häussler

DOI
https://doi.org/10.1128/mBio.01075-14
Journal volume & issue
Vol. 5, no. 4

Abstract

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ABSTRACT mRNA profiling of pathogens during the course of human infections gives detailed information on the expression levels of relevant genes that drive pathogenicity and adaptation and at the same time allows for the delineation of phylogenetic relatedness of pathogens that cause specific diseases. In this study, we used mRNA sequencing to acquire information on the expression of Escherichia coli pathogenicity genes during urinary tract infections (UTI) in humans and to assign the UTI-associated E. coli isolates to different phylogenetic groups. Whereas the in vivo gene expression profiles of the majority of genes were conserved among 21 E. coli strains in the urine of elderly patients suffering from an acute UTI, the specific gene expression profiles of the flexible genomes was diverse and reflected phylogenetic relationships. Furthermore, genes transcribed in vivo relative to laboratory media included well-described virulence factors, small regulatory RNAs, as well as genes not previously linked to bacterial virulence. Knowledge on relevant transcriptional responses that drive pathogenicity and adaptation of isolates to the human host might lead to the introduction of a virulence typing strategy into clinical microbiology, potentially facilitating management and prevention of the disease. IMPORTANCE Urinary tract infections (UTI) are very common; at least half of all women experience UTI, most of which are caused by pathogenic Escherichia coli strains. In this study, we applied massive parallel cDNA sequencing (RNA-seq) to provide unbiased, deep, and accurate insight into the nature and the dimension of the uropathogenic E. coli gene expression profile during an acute UTI within the human host. This work was undertaken to identify key players in physiological adaptation processes and, hence, potential targets for new infection prevention and therapy interventions specifically aimed at sabotaging bacterial adaptation to the human host.