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Spatially structured yeast communities: Understanding structure formation and regulation with omics tools

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    0549225 - MBÚ 2022 RIV NL eng J - Journal Article
    Palková, Z. - Váchová, Libuše
    Spatially structured yeast communities: Understanding structure formation and regulation with omics tools.
    Computational and Structural Biotechnology Journal. Roč. 19, Podzim (2021), s. 5613-5621. ISSN 2001-0370. E-ISSN 2001-0370
    R&D Projects: GA ČR(CZ) GA19-09381S; GA ČR(CZ) GA19-11384S
    Institutional support: RVO:61388971
    Keywords : Multicellular yeast structures * Colonies * Biofilms * Spatial community structure * Regulation * Cell differentiation
    OECD category: Microbiology
    Impact factor: 6.155, year: 2021
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S2001037021004347?via%3Dihub

    Single-celled yeasts form spatially structured populations colonies and biofilms, either alone (singlespecies biofilms) or in cooperation with other microorganisms (mixed-species biofilms). Within populations, yeast cells develop in a coordinated manner, interact with each other and differentiate into specialized cell subpopulations that can better adapt to changing conditions (e.g. by reprogramming metabolism during nutrient deficiency) or protect the overall population from external influences (e.g. via extracellular matrix). Various omics tools together with specialized techniques for separating differentiated cells and in situ microscopy have revealed important processes and cell interactions in these structures, which are summarized here. Nevertheless, current knowledge is still only a small part of the mosaic of complexity and diversity of the multicellular structures that yeasts form in different environments. Future challenges include the use of integrated multi-omics approaches and a greater emphasis on the analysis of differentiated cell subpopulations with specific functions. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
    Permanent Link: http://hdl.handle.net/11104/0325242

     
     
Number of the records: 1  

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