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Cell mass and cell cycle dynamics of an asynchronous budding yeast population: Experimental observations, flow cytometry data analysis, and multi-scale modeling

Authors

  • Rita Lencastre Fernandes,

    1. Center for Process Engineering and Technology, Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark; telephone: +45 45 25 29 70; fax: +45 45 93 29 06
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  • Magnus Carlquist,

    1. Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark
    2. Division of Applied Microbiology, Department of Chemistry, Lund University, Lund, Sweden
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  • Luisa Lundin,

    1. Molecular Microbial Ecology Group, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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  • Anna-Lena Heins,

    1. Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark
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  • Abhishek Dutta,

    1. BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
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  • Søren J. Sørensen,

    1. Molecular Microbial Ecology Group, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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  • Anker D. Jensen,

    1. Center for Combustion and Harmful Emission Control, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
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  • Ingmar Nopens,

    1. BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
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  • Anna Eliasson Lantz,

    1. Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark
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  • Krist V. Gernaey

    Corresponding author
    1. Center for Process Engineering and Technology, Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark; telephone: +45 45 25 29 70; fax: +45 45 93 29 06
    • Center for Process Engineering and Technology, Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark; telephone: +45 45 25 29 70; fax: +45 45 93 29 06.
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Abstract

Despite traditionally regarded as identical, cells in a microbial cultivation present a distribution of phenotypic traits, forming a heterogeneous cell population. Moreover, the degree of heterogeneity is notably enhanced by changes in micro-environmental conditions. A major development in experimental single-cell studies has taken place in the last decades. It has however not been fully accompanied by similar contributions within data analysis and mathematical modeling. Indeed, literature reporting, for example, quantitative analyses of experimental single-cell observations and validation of model predictions for cell property distributions against experimental data is scarce. This study focuses on the experimental and mathematical description of the dynamics of cell size and cell cycle position distributions, of a population of Saccharomyces cerevisiae, in response to the substrate consumption observed during batch cultivation. The good agreement between the proposed multi-scale model (a population balance model [PBM] coupled to an unstructured model) and experimental data (both the overall physiology and cell size and cell cycle distributions) indicates that a mechanistic model is a suitable tool for describing the microbial population dynamics in a bioreactor. This study therefore contributes towards the understanding of the development of heterogeneous populations during microbial cultivations. More generally, it consists of a step towards a paradigm change in the study and description of cell cultivations, where average cell behaviors observed experimentally now are interpreted as a potential joint result of various co-existing single-cell behaviors, rather than a unique response common to all cells in the cultivation. Biotechnol. Bioeng. 2013; 110: 812–826. © 2012 Wiley Periodicals, Inc.

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