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Cellular Growth Arrest and Persistence from Enzyme Saturation

  • J. Christian J. Ray
  • , Michelle L. Wickersheim
  • , Ameya P. Jalihal
  • , Yusuf O. Adeshina
  • , Tim F. Cooper
  • , Gábor Balázsi
  • University of Texas MD Anderson Cancer Center
  • University of Kansas
  • SASTRA
  • University of Houston

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Metabolic efficiency depends on the balance between supply and demand of metabolites, which is sensitive to environmental and physiological fluctuations, or noise, causing shortages or surpluses in the metabolic pipeline. How cells can reliably optimize biomass production in the presence of metabolic fluctuations is a fundamental question that has not been fully answered. Here we use mathematical models to predict that enzyme saturation creates distinct regimes of cellular growth, including a phase of growth arrest resulting from toxicity of the metabolic process. Noise can drive entry of single cells into growth arrest while a fast-growing majority sustains the population. We confirmed these predictions by measuring the growth dynamics of Escherichia coli utilizing lactose as a sole carbon source. The predicted heterogeneous growth emerged at high lactose concentrations, and was associated with cell death and production of antibiotic-tolerant persister cells. These results suggest how metabolic networks may balance costs and benefits, with important implications for drug tolerance.

Original languageEnglish
Article numbere1004825
JournalPLoS Computational Biology
Volume12
Issue number3
DOIs
StatePublished - Mar 2016

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