Literature DB >> 32688579

Exponential trajectories, cell size fluctuations, and the adder property in bacteria follow from simple chemical dynamics and division control.

Parth Pratim Pandey1, Harshant Singh1, Sanjay Jain1,2.   

Abstract

Experiments on steady-state bacterial cultures have uncovered several quantitative regularities at the system level. These include, first, the exponential growth of cell size with time and the balanced growth of intracellular chemicals between cell birth and division, which are puzzling given the nonlinear and decentralized chemical dynamics in the cell. We model a cell as a set of chemical populations undergoing nonlinear mass action kinetics in a container whose volume is a linear function of the chemical populations. This turns out to be a special class of dynamical systems that generically has attractors in which all populations grow exponentially with time at the same rate. This explains exponential balanced growth of bacterial cells without invoking any regulatory mechanisms and suggests that this could be a robust property of protocells as well. Second, we consider the hypothesis that cells commit themselves to division when a certain internal chemical population reaches a threshold of N molecules. We show that this hypothesis leads to a simple explanation of some of the variability observed across cells in a bacterial culture. In particular, it reproduces the adder property of cell size fluctuations observed recently in E. coli; the observed correlations among interdivision time, birth volume, and added volume in a generation; and the observed scale of the fluctuations (CV ≈ 10-30%) when N is between 10 and 100. Third, upon including a suitable regulatory mechanism that optimizes the growth rate of the cell, the model reproduces the observed bacterial growth laws including the dependence of the growth rate and ribosomal protein fraction on the medium. Thus, the models provide a framework for unifying diverse aspects of bacterial growth physiology under one roof. They also suggest new questions for experimental and theoretical enquiry.

Entities:  

Mesh:

Year:  2020        PMID: 32688579     DOI: 10.1103/PhysRevE.101.062406

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  6 in total

1.  Protein concentration fluctuations in the high expression regime: Taylor's law and its mechanistic origin.

Authors:  Alberto Stefano Sassi; Mayra Garcia-Alcala; Maximino Aldana; Yuhai Tu
Journal:  Phys Rev X       Date:  2022-03-17       Impact factor: 14.417

2.  Bacterial cell proliferation: from molecules to cells.

Authors:  Alix Meunier; François Cornet; Manuel Campos
Journal:  FEMS Microbiol Rev       Date:  2021-01-08       Impact factor: 16.408

3.  Threshold accumulation of a constitutive protein explains E. coli cell-division behavior in nutrient upshifts.

Authors:  Mia Panlilio; Jacopo Grilli; Giorgio Tallarico; Ilaria Iuliani; Bianca Sclavi; Pietro Cicuta; Marco Cosentino Lagomarsino
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-04       Impact factor: 11.205

4.  The correlation between cell and nucleus size is explained by an eukaryotic cell growth model.

Authors:  Yufei Wu; Adrian F Pegoraro; David A Weitz; Paul Janmey; Sean X Sun
Journal:  PLoS Comput Biol       Date:  2022-02-18       Impact factor: 4.475

5.  A bacterial size law revealed by a coarse-grained model of cell physiology.

Authors:  François Bertaux; Julius von Kügelgen; Samuel Marguerat; Vahid Shahrezaei
Journal:  PLoS Comput Biol       Date:  2020-09-28       Impact factor: 4.475

6.  A unifying autocatalytic network-based framework for bacterial growth laws.

Authors:  Anjan Roy; Dotan Goberman; Rami Pugatch
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.