Your browser doesn't support javascript.
loading
Invariance of Initiation Mass and Predictability of Cell Size in Escherichia coli.
Si, Fangwei; Li, Dongyang; Cox, Sarah E; Sauls, John T; Azizi, Omid; Sou, Cindy; Schwartz, Amy B; Erickstad, Michael J; Jun, Yonggun; Li, Xintian; Jun, Suckjoon.
Affiliation
  • Si F; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Li D; Section of Molecular Biology, Division of Biology, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Cox SE; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Sauls JT; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Azizi O; Department of Bioengineering, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Sou C; Eleanor Roosevelt College, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Schwartz AB; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Erickstad MJ; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Jun Y; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Li X; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
  • Jun S; Department of Physics, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Section of Molecular Biology, Division of Biology, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA. Electronic address: suckjoon.jun@gmail.com.
Curr Biol ; 27(9): 1278-1287, 2017 May 08.
Article in En | MEDLINE | ID: mdl-28416114
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Escherichia coli Proteins / DNA Replication / Escherichia coli Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Curr Biol Journal subject: BIOLOGIA Year: 2017 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Escherichia coli Proteins / DNA Replication / Escherichia coli Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Curr Biol Journal subject: BIOLOGIA Year: 2017 Type: Article Affiliation country: United States