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    Home > Biochemistry News > Biotechnology News > Simulates the collective movement of bacteria

    Simulates the collective movement of bacteria

    • Last Update: 2023-02-03
    • Source: Internet
    • Author: User
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    Biofilms form
    when microorganisms, such as certain types of bacteria, attach to surfaces in a humid environment and begin to multiply, causing a slimy, glue-like substance to be discharged.

    Not only are these biofilms unpleasant, but they can cause serious trouble
    For example, in the medical field, the formation of biofilms can reduce the effectiveness
    of antibiotic treatment.
    The key to understanding biomass formation lies in understanding the overall behavior
    of bacteria.

    In a new EPJE paper published in Germany, researcher Davide Breoni and his co-authors propose a mathematical model of bacterial motility that includes cell division and death, the basic components of
    the cell cycle.

    The team developed a mathematical model of bacterial motility processes, establishing a link
    between statistical physics and biophysics.

    "Our new model belongs to the category of 'active substances' and is currently of great interest in statistical physics," Breoni said
    "This field studies the collective properties of particle systems that have their own energy source – bacteria are a prime example

    The model devised by the team surprisingly shows that bacteria can act as a whole
    when it comes to movement.

    "In the course of our study, we found that the model predicts that bacterial colony formation can occur through the accumulation of travel waves, concentrated bacterial 'wraps'," Breoni added
    "We didn't expect a simple model like ours to produce such results

    He thinks the results should be interesting
    to the general public who may be aware of colonies, but not how they move en masse.

    Breoni concluded by noting that this is a very simple model that shows how research can start
    "We can try to make the model more realistic and experiment with the results to test its predictions
    ," he said.
    "On the other hand, this study is largely curiosity-driven and the result of intense discussions among researchers – we want to maintain this approach so we can continue to surprise
    ourselves with our findings.

    Journal Reference:

    1. Davide Breoni, Fabian Jan Schwarzendahl, Ralf Blossey, Hartmut Lö wen.
      A one-dimensional three-state run-and-tumble model with a ‘ cell cycle’.
      The European Physical Journal E, 2022; 45 (10) DOI: 10.

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