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Phenotypic variability of bacterial cell cycle : Mathematical model. / Likhoshvai, V. A.; Khlebodarova, T. M.

In: Mathematical Biology and Bioinformatics, Vol. 12, 01.01.2017, p. t23-t44.

Research output: Contribution to journal › Article › peer-review

Harvard

Likhoshvai, VA & Khlebodarova, TM 2017, 'Phenotypic variability of bacterial cell cycle: Mathematical model', Mathematical Biology and Bioinformatics, vol. 12, pp. t23-t44. https://doi.org/10.17537/2017.12.t23

APA

Likhoshvai, V. A., & Khlebodarova, T. M. (2017). Phenotypic variability of bacterial cell cycle: Mathematical model. Mathematical Biology and Bioinformatics, 12, t23-t44. https://doi.org/10.17537/2017.12.t23

Vancouver

Likhoshvai VA, Khlebodarova TM. Phenotypic variability of bacterial cell cycle: Mathematical model. Mathematical Biology and Bioinformatics. 2017 Jan 1;12:t23-t44. doi: 10.17537/2017.12.t23

Author

Likhoshvai, V. A. ; Khlebodarova, T. M. / Phenotypic variability of bacterial cell cycle : Mathematical model. In: Mathematical Biology and Bioinformatics. 2017 ; Vol. 12. pp. t23-t44.

BibTeX

@article{8cc6b42ae65c49b4a94d2611204bbead,
title = "Phenotypic variability of bacterial cell cycle: Mathematical model",
abstract = "Modeling results demonstrating mechanisms of different cell phenotypes appearance in a genetically homogenous population using the bacterial cell cycle model are presented. It was demonstrated that phenotypic variability represents an internal, immanent property of bacteria. The basis of this phenomenon is universal non-linear properties of the conjugated transcription-translation system that controls all cellular processes. Phenotypic variability occurs in a simple, deterministic, self-reproducing system under the uniform transmission of the structural components to the daughter cells during division and in the absence of any special control mechanisms of molecular-genetic processes and enzymatic reactions.",
keywords = "Bacteria, Cell cycle, Modelling, Phenotypic variability",
author = "Likhoshvai, {V. A.} and Khlebodarova, {T. M.}",
note = "Publisher Copyright: {\textcopyright} Likhoshvai V.A., Khlebodarova T.M.",
year = "2017",
month = jan,
day = "1",
doi = "10.17537/2017.12.t23",
language = "English",
volume = "12",
pages = "t23--t44",
journal = "Mathematical Biology and Bioinformatics",
issn = "1994-6538",
publisher = "Institute of Mathematical Problems of Biology",

}

RIS

TY - JOUR

T1 - Phenotypic variability of bacterial cell cycle

T2 - Mathematical model

AU - Likhoshvai, V. A.

AU - Khlebodarova, T. M.

N1 - Publisher Copyright: © Likhoshvai V.A., Khlebodarova T.M.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Modeling results demonstrating mechanisms of different cell phenotypes appearance in a genetically homogenous population using the bacterial cell cycle model are presented. It was demonstrated that phenotypic variability represents an internal, immanent property of bacteria. The basis of this phenomenon is universal non-linear properties of the conjugated transcription-translation system that controls all cellular processes. Phenotypic variability occurs in a simple, deterministic, self-reproducing system under the uniform transmission of the structural components to the daughter cells during division and in the absence of any special control mechanisms of molecular-genetic processes and enzymatic reactions.

AB - Modeling results demonstrating mechanisms of different cell phenotypes appearance in a genetically homogenous population using the bacterial cell cycle model are presented. It was demonstrated that phenotypic variability represents an internal, immanent property of bacteria. The basis of this phenomenon is universal non-linear properties of the conjugated transcription-translation system that controls all cellular processes. Phenotypic variability occurs in a simple, deterministic, self-reproducing system under the uniform transmission of the structural components to the daughter cells during division and in the absence of any special control mechanisms of molecular-genetic processes and enzymatic reactions.

KW - Bacteria

KW - Cell cycle

KW - Modelling

KW - Phenotypic variability

UR - http://www.scopus.com/inward/record.url?scp=85043505691&partnerID=8YFLogxK

U2 - 10.17537/2017.12.t23

DO - 10.17537/2017.12.t23

M3 - Article

AN - SCOPUS:85043505691

VL - 12

SP - t23-t44

JO - Mathematical Biology and Bioinformatics

JF - Mathematical Biology and Bioinformatics

SN - 1994-6538

ER -

ID: 10454909