Application of Image Processing in Adaptation of Yeast to Environmental Conditions, Optimized by Autogegulatory Molecules and PSO

  • Authors

    • A. A. Bajazitova
    • F. G. Kupriyanova-Ashina
    • A. I. Kolpakov
    • M. A. Kharitonova
    • O. N. Ilinskaya
    2018-09-27
    https://doi.org/10.14419/ijet.v7i4.7.20344
  • Image processing, quorum sensing, Medical engineering, yeast, particle swamp optimization

  • Abstract

    Unlike bacterial signal molecules, secreted yeast ones, which ensure their coordinated behavior as a single system, have been little studied. We used the image processing technique to evaluate the environmental conditions. Communication through quorum sensing molecules (QSM) is the dominant signaling in prokaryotic populations. In eukaryotic yeast cells, stress, caused primarily by the nutrient limit, causes a phenotypic manifestation of the mechanism of dimorphic switching, encompassing the repression of certain groups of genes and the activation of others, determining adhesion and virulence. Analysis of literature data and the results of the authors' own research emphasize the importance of signaling studies involving autoinducer molecules to elucidate the fundamental laws governing the regulation of yeast physiology, including growth parameters, morphogenesis and pathogenicity.

     

     

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  • How to Cite

    A. Bajazitova, A., G. Kupriyanova-Ashina, F., I. Kolpakov, A., A. Kharitonova, M., & N. Ilinskaya, O. (2018). Application of Image Processing in Adaptation of Yeast to Environmental Conditions, Optimized by Autogegulatory Molecules and PSO. International Journal of Engineering & Technology, 7(4.7), 1-4. https://doi.org/10.14419/ijet.v7i4.7.20344

    Received date: 2018-09-27

    Accepted date: 2018-09-27

    Published date: 2018-09-27