Abstract

Single-cell variability of growth is a biological phenomenon that has attracted growing interest in recent years. Important progress has been made in the knowledge of the origin of cell-to-cell heterogeneity of growth, especially in microbial cells. To better understand the origins of such heterogeneity at the single-cell level, we developed a new methodological pipeline that coupled cytometry-based cell sorting with automatized microscopy and image analysis to score the growth rate of thousands of single cells. This allowed investigating the influence of the initial amount of proteins of interest on the subsequent growth of the microcolony. As a preliminary step to validate this experimental setup, we referred to previous findings in yeast where the expression level of Tsl1, a member of the Trehalose Phosphate Synthase (TPS) complex, negatively correlated with cell division rate. We unfortunately could not find any influence of the initial TSL1 expression level on the growth rate of the microcolonies. We also analyzed the effect of the natural variations of trehalose-6-phosphate synthase (TPS1) expression on cell-to-cell growth heterogeneity, but we did not find any correlation. However, due to the already known altered growth of the tps1Δ mutants, we tested this strain at the single-cell level on a permissive carbon source. This mutant showed an outstanding lack of reproducibility of growth rate distributions as compared to the wild-type strain, with variable proportions of non-growing cells between cultivations and more heterogeneous microcolonies in terms of individual growth rates. Interestingly, this variable behavior at the single-cell level was reminiscent to the high variability that is also stochastically suffered at the population level when cultivating this tps1Δ strain, even when using controlled bioreactors.

Highlights

  • The increasing number of studies describing phenotypic heterogeneity in microbial populations, opened a new look at biological phenomena that were thought to be far more homogeneous from cell-to-cell

  • A pioneering work in Saccharomyces cerevisiae demonstrated that growth rate heterogeneity could serve as a bet-hedging mechanism, providing a benefit to the population across changing environments, especially in yeast (Levy et al, 2012)

  • We developed a new methodological pipeline to gain insight on the putative relationship between yeast single-cell variability of growth and Tsl1 and Tps1 function, especially because variations of the cell metabolic state may originate from TPS1 expression variability, which has never been studied in this context

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Summary

Introduction

The increasing number of studies describing phenotypic heterogeneity in microbial populations, opened a new look at biological phenomena that were thought to be far more homogeneous from cell-to-cell. Identical microbial cells display heterogeneity in their morphology, the composition of their cellular components, Yeast Single-Cell Growth Variability and their growth dynamics (Ackermann, 2015). A pioneering work in Saccharomyces cerevisiae demonstrated that growth rate heterogeneity could serve as a bet-hedging mechanism, providing a benefit to the population across changing environments, especially in yeast (Levy et al, 2012). Cell-to-cell heterogeneity in growth rate was observed across laboratory strains, natural and clinical isolates, and that independently of differences in population growth rate (Ziv et al, 2013)

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