Literature DB >> 28416114

Invariance of Initiation Mass and Predictability of Cell Size in Escherichia coli.

Fangwei Si1, Dongyang Li2, Sarah E Cox1, John T Sauls1, Omid Azizi3, Cindy Sou4, Amy B Schwartz1, Michael J Erickstad1, Yonggun Jun1, Xintian Li1, Suckjoon Jun5.   

Abstract

It is generally assumed that the allocation and synthesis of total cellular resources in microorganisms are uniquely determined by the growth conditions. Adaptation to a new physiological state leads to a change in cell size via reallocation of cellular resources. However, it has not been understood how cell size is coordinated with biosynthesis and robustly adapts to physiological states. We show that cell size in Escherichia coli can be predicted for any steady-state condition by projecting all biosynthesis into three measurable variables representing replication initiation, replication-division cycle, and the global biosynthesis rate. These variables can be decoupled by selectively controlling their respective core biosynthesis using CRISPR interference and antibiotics, verifying our predictions that different physiological states can result in the same cell size. We performed extensive growth inhibition experiments, and we discovered that cell size at replication initiation per origin, namely the initiation mass or unit cell, is remarkably invariant under perturbations targeting transcription, translation, ribosome content, replication kinetics, fatty acid and cell wall synthesis, cell division, and cell shape. Based on this invariance and balanced resource allocation, we explain why the total cell size is the sum of all unit cells. These results provide an overarching framework with quantitative predictive power over cell size in bacteria.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  CRISPR interference; bacterial physiology; cell cycle; cell size control; growth law; initiation mass

Mesh:

Substances:

Year:  2017        PMID: 28416114      PMCID: PMC5474944          DOI: 10.1016/j.cub.2017.03.022

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  46 in total

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Review 3.  Countermeasures to survive excessive chromosome replication in Escherichia coli.

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Review 7.  CRISPR Tools To Control Gene Expression in Bacteria.

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Review 9.  Mathematical modelling of microbes: metabolism, gene expression and growth.

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Review 10.  Fundamental principles in bacterial physiology-history, recent progress, and the future with focus on cell size control: a review.

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