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Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
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Modeling evolution of spatially distributed bacterial communities: a simulation with the haploid evolutionary

Alexandra Klimenko, Yury Matushkin, Nikolay Kolchanov

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    Spatial modeling reveals how environmental factors impact microbial community evolution. Uneven distributions influence selection intensity and evolution rates, while genetic structure remains stable despite environmental changes.

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    Area of Science:

    • Systems biology
    • Microbial ecology
    • Evolutionary biology

    Background:

    • Multiscale modeling is a key tool in systems biology for integrating diverse biological organization levels.
    • This study focuses on spatially distributed microbial communities and environmental influences.

    Purpose of the Study:

    • To construct and simulate multiscale models of spatially distributed microbial communities.
    • To investigate the impact of unevenly distributed environmental factors on genetic diversity and evolution.

    Main Methods:

    • Expanded Haploid Evolutionary Constructor software with spatial modeling capabilities (1D, 2D, 3D).
    • Developed and simulated models of spatially distributed microbial communities.

    Main Results:

    • Spatial distribution of cells influences both the intensity of selection and the rate of evolution.
    • Demonstrated the effect of spatial arrangement on microbial community dynamics.

    Conclusions:

    • In heterogeneous communities, environmental flow changes can cause local population dynamics shifts, but genetic structure remains stable.
    • Chemotaxis significantly impacts the evolution of microbial community members in spatially heterogeneous environments.