• DocumentCode
    2859596
  • Title

    Modeling sporulation decisions in Bacillus subtilis as optimal evolutionary decision-making

  • Author

    Morimoto, M. ; Arkin, A. ; Poolla, K.

  • Author_Institution
    Dept. of Bioeng., U.C. Berkeley, Berkeley, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    3508
  • Lastpage
    3513
  • Abstract
    The decision by the bacterium Bacillus subtilis to produce spores has been an area of intense study in the molecular cell biology field. Though mechanisms describing how the decision is made are becoming better understood, the reasons why the decision is made are still nebulous. Spore formation is known to be a survival mechanism, but the circumstances under which it is preferred over other mechanisms have not been carefully examined. In an attempt to address this issue quantitatively, we introduce simple models and a control framework to compare two bacterial survival strategies: sporulation and a simple reduction in metabolic activity. Our findings provide evidence that the decision to sporulate may be the outcome of an underlying optimal control problem to contend with expected future environmental challenges.
  • Keywords
    cellular biophysics; decision making; evolutionary computation; molecular biophysics; optimal control; Bacillus subtilis; Sporulation decision; bacterial survival strategy; metabolic activity; molecular cell biology field; optimal control problem; optimal evolutionary decision making; spore formation; survival mechanism; Approximation methods; Equations; Genetics; Mathematical model; Measurement; Next generation networking; Organisms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991554
  • Filename
    5991554