Literature DB >> 26871102

Individuality and universality in the growth-division laws of single E. coli cells.

Andrew S Kennard1,2, Matteo Osella3, Avelino Javer1, Jacopo Grilli4,5, Philippe Nghe6,7, Sander J Tans6, Pietro Cicuta1, Marco Cosentino Lagomarsino8,9.   

Abstract

The mean size of exponentially dividing Escherichia coli cells in different nutrient conditions is known to depend on the mean growth rate only. However, the joint fluctuations relating cell size, doubling time, and individual growth rate are only starting to be characterized. Recent studies in bacteria reported a universal trend where the spread in both size and doubling times is a linear function of the population means of these variables. Here we combine experiments and theory and use scaling concepts to elucidate the constraints posed by the second observation on the division control mechanism and on the joint fluctuations of sizes and doubling times. We found that scaling relations based on the means collapse both size and doubling-time distributions across different conditions and explain how the shape of their joint fluctuations deviates from the means. Our data on these joint fluctuations highlight the importance of cell individuality: Single cells do not follow the dependence observed for the means between size and either growth rate or inverse doubling time. Our calculations show that these results emerge from a broad class of division control mechanisms requiring a certain scaling form of the "division hazard rate function," which defines the probability rate of dividing as a function of measurable parameters. This "model free" approach gives a rationale for the universal body-size distributions observed in microbial ecosystems across many microbial species, presumably dividing with multiple mechanisms. Additionally, our experiments show a crossover between fast and slow growth in the relation between individual-cell growth rate and division time, which can be understood in terms of different regimes of genome replication control.

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Year:  2016        PMID: 26871102     DOI: 10.1103/PhysRevE.93.012408

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


  28 in total

1.  Interrogating the Escherichia coli cell cycle by cell dimension perturbations.

Authors:  Hai Zheng; Po-Yi Ho; Meiling Jiang; Bin Tang; Weirong Liu; Dengjin Li; Xuefeng Yu; Nancy E Kleckner; Ariel Amir; Chenli Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-12       Impact factor: 11.205

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

Authors:  Fangwei Si; Dongyang Li; Sarah E Cox; John T Sauls; Omid Azizi; Cindy Sou; Amy B Schwartz; Michael J Erickstad; Yonggun Jun; Xintian Li; Suckjoon Jun
Journal:  Curr Biol       Date:  2017-04-13       Impact factor: 10.834

3.  Synthetic riboswitches for the analysis of tRNA processing by eukaryotic RNase P enzymes.

Authors:  Anna Ender; Nadine Grafl; Tim Kolberg; Sven Findeiß; Peter F Stadler; Mario Mörl
Journal:  RNA       Date:  2022-01-12       Impact factor: 4.942

4.  Distinguishing different modes of growth using single-cell data.

Authors:  Prathitha Kar; Sriram Tiruvadi-Krishnan; Jaana Männik; Jaan Männik; Ariel Amir
Journal:  Elife       Date:  2021-12-02       Impact factor: 8.140

5.  Two different cell-cycle processes determine the timing of cell division in Escherichia coli.

Authors:  Alexandra Colin; Gabriele Micali; Louis Faure; Marco Cosentino Lagomarsino; Sven van Teeffelen
Journal:  Elife       Date:  2021-10-06       Impact factor: 8.140

6.  Relationship between fitness and heterogeneity in exponentially growing microbial populations.

Authors:  Anna Paola Muntoni; Alfredo Braunstein; Andrea Pagnani; Daniele De Martino; Andrea De Martino
Journal:  Biophys J       Date:  2022-04-14       Impact factor: 3.699

7.  Cell-to-cell variability and robustness in S-phase duration from genome replication kinetics.

Authors:  Qing Zhang; Federico Bassetti; Marco Gherardi; Marco Cosentino Lagomarsino
Journal:  Nucleic Acids Res       Date:  2017-08-21       Impact factor: 16.971

8.  The Adder Phenomenon Emerges from Independent Control of Pre- and Post-Start Phases of the Budding Yeast Cell Cycle.

Authors:  Devon Chandler-Brown; Kurt M Schmoller; Yonatan Winetraub; Jan M Skotheim
Journal:  Curr Biol       Date:  2017-09-07       Impact factor: 10.834

Review 9.  Bacterial growth: a statistical physicist's guide.

Authors:  Rosalind J Allen; Bartlomiej Waclaw
Journal:  Rep Prog Phys       Date:  2018-10-01

10.  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

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