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

Autor: Bertaux F; Department of Mathematics, Imperial College London, London, United Kingdom.; MRC London Institute of Medical Sciences (LMS), London, United Kingdom.; Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, United Kingdom.; Institut Pasteur, USR 3756 IP CNRS, Paris, France., von Kügelgen J; Department of Mathematics, Imperial College London, London, United Kingdom., Marguerat S; MRC London Institute of Medical Sciences (LMS), London, United Kingdom.; Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, United Kingdom., Shahrezaei V; Department of Mathematics, Imperial College London, London, United Kingdom.
Jazyk: angličtina
Zdroj: PLoS computational biology [PLoS Comput Biol] 2020 Sep 28; Vol. 16 (9), pp. e1008245. Date of Electronic Publication: 2020 Sep 28 (Print Publication: 2020).
DOI: 10.1371/journal.pcbi.1008245
Abstrakt: Universal observations in Biology are sometimes described as "laws". In E. coli, experimental studies performed over the past six decades have revealed major growth laws relating ribosomal mass fraction and cell size to the growth rate. Because they formalize complex emerging principles in biology, growth laws have been instrumental in shaping our understanding of bacterial physiology. Here, we discovered a novel size law that connects cell size to the inverse of the metabolic proteome mass fraction and the active fraction of ribosomes. We used a simple whole-cell coarse-grained model of cell physiology that combines the proteome allocation theory and the structural model of cell division. This integrated model captures all available experimental data connecting the cell proteome composition, ribosome activity, division size and growth rate in response to nutrient quality, antibiotic treatment and increased protein burden. Finally, a stochastic extension of the model explains non-trivial correlations observed in single cell experiments including the adder principle. This work provides a simple and robust theoretical framework for studying the fundamental principles of cell size determination in unicellular organisms.
Competing Interests: The authors declare that they have no conflict of interest.
Databáze: MEDLINE
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