• DocumentCode
    2909314
  • Title

    Gene target identification for biofilm-associated pathogens: an application to pseudomonas aeruginosa

  • Author

    Zhaobin Xu ; Xin Fang ; Wood, Thomas K. ; Zuyi Huang

  • Author_Institution
    Chem. Eng., Villanova Univ., Villanova, PA, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    3765
  • Lastpage
    3770
  • Abstract
    Prevention of the initiation of biofilm formation is the most important step for combating biofilm-associated pathogens, as the ability of pathogens to resist antibiotics is enhanced 10 to 1000 times once they form biofilms. Genes essential to bacterial growth in the planktonic state are potential targets to treat biofilm-associated pathogens. However, the biofilm formation capability of strains with mutations in these essential genes needs to be evaluated, as the pathogen might form biofilms before it is eliminated. In order to address this issue, this work proposes a systems-biology approach to identify gene targets that are essential for the bacterial metabolism in the planktonic state but do not induce biofilm formation when they are inactivated. The proposed approach was applied to identify target genes to treat Pseudomonas aeruginosa infections. It is interesting to find that the inhibition of most essential planktonic-growth genes might induce the formation of biofilms while the inhibition of most non-essential genes might not. Four essential planktonic-growth genes, i.e., lysC, cysH, adk, and galU, constitute gene targets to treat P. aeruginosa. All four of these genes have been experimentally suggested as potential drug targets for their crucial role in the survival or virulence of P. aeruginosa.
  • Keywords
    cellular biophysics; drugs; genetics; microorganisms; P. aeruginosa; Pseudomonas aeruginosa infections; adk; antibiotics; bacterial growth; bacterial metabolism; biofilm formation; biofilm-associated pathogens; cysH; drug targets; galU; gene target identification; lysC; planktonic state; planktonic-growth genes; Antibiotics; Biochemistry; Equations; Market research; Mathematical model; Microorganisms; Pathogens;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580413
  • Filename
    6580413