title: Towards understanding of the complex structure of growing yeast populations.
abstract: In a growing Saccharomyces cerevisiae population, cell size is finely modulated according to both the chronological and genealogical ages. This generates the complex heterogeneous structure typical of budding yeast populations. In recent years, there has been a growing interest in developing mathematical models capable of faithfully describing population dynamics at the single cell level. A multistaged morphologically structured model has been lately proposed based on the population balance theory. The model was able to describe the dynamics of the generation of a heterogeneous growing yeast population starting from a sub-population of daughter unbudded cells. In this work, which aims at validating the model, the simulated experiment was performed by following the release of a homogeneous population of daughter unbudded cells. A biparametric flow cytometric approach allowed us to analyse the time course joint distribution of DNA and protein contents at the single cell level; this gave insights into the coupling between growth and cell cycle progression that generated the final population structure. The comparison between experimental and simulated size distributions revealed a strong agreement for some unexpected features as well. Therefore, the model can be considered as validated and extendable to more complex situations.
authors.affiliation: Department of Biotechnology and Biosciences, University of Milano-Biocca, Milan, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Cipollina
authors.forename: Marina
authors.initials: M
authors.lastname: Vai
authors.forename: Danilo
authors.initials: D
authors.lastname: Porro
authors.forename: Christos
authors.initials: C
authors.lastname: Hatzis
mesh_terms: D002453:Cell Cycle; D002455:Cell Division / Q000502:physiology; D004247:DNA / Q000032:analysis / Q000378:metabolism; D005434:Flow Cytometry; D008954:Models, Biological; D008962:Models, Theoretical; D011506:Proteins / Q000032:analysis / Q000378:metabolism; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000254:growth & development*; D004718:Saccharomycetales / Q000166:cytology / Q000254:growth & development*
chemical_list: D011506:Proteins; D004247:DNA