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The cell growth cycle: resource allocation and subcellular pattern formation in budding yeast

View ORCID ProfileRainer Machné, Douglas B. Murray, View ORCID ProfileStephan H. Bernhart, Ilka M. Axmann, View ORCID ProfilePeter F. Stadler
doi: https://doi.org/10.1101/2021.05.26.444658
Rainer Machné
1Institute for Synthetic Microbiology and Heinrich Heine University, D-40225 Düsseldorf, Germany
2Institute for Quantitative and Theoretical Biology, Heinrich Heine University, D-40225 Düsseldorf, Germany
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  • For correspondence: machne@hhu.de mabawsa@gmail.com
Douglas B. Murray
3Lakeland University Japan, Shinjuku-ku, Tokyo 160-0022, Japan
4University of Maryland Global Campus—Asia, Yokota Air Base, Fussa-shi, Tokyo 197-0001, Japan
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Stephan H. Bernhart
5Bioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstraße 16-18, D-04107 Leipzig, Germany
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Ilka M. Axmann
1Institute for Synthetic Microbiology and Heinrich Heine University, D-40225 Düsseldorf, Germany
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Peter F. Stadler
5Bioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstraße 16-18, D-04107 Leipzig, Germany
6Max Planck Institute for Mathematics in the Sciences, Inselstraße 22, D-04103 Leipzig, Germany
7Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, A-1090 Wien, Austria
8Facultad de Ciencias, Universidad Nacional de Colombia, Sede Bogotá, Colombia
9Santa Fe Institute, 1399 Hyde Park Road, Santa Fe NM 87501, USA
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Abstract

Metabolic oscillations percolate throughout cellular physiology. The transcriptome oscillates between expression of genes encoding for biosynthesis and growth, and for catabolism and stress response. Long protein half-lives suppress effects on protein abundance level, and the function of periodic transcription remains elusive. We performed RNA-seq analysis during a dynamic state of the system. Short protein half-lives and high transcript abundance amplitude of sulfur uptake genes and carbonic anhydrase, and dynamic changes of pathway intermediates H2S and CO2 support a direct role of transcription in cycle dynamics. Substantial changes in the relative duration of expression of the antagonistic co-expression cohorts precede a system bifurcation to a longer period, supporting the idea of a function in cellular resource allocation. The pulse-width modulation model, a mathematical formulation of this idea, can explain a large body of published experimental data on the dependence of the cycle period on the culture growth rate. This pulse-like model of cell growth provides a first theoretical framework, where the phenomenon is understood as a mechanism of cellular resource allocation and protein homeostasis, and is applicable to circadian transcriptome dynamics from all domains of life.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • The title has been made more descriptive on results and the abstract has been amended by one half sentence highlighting the general relevance of our theoretical model for biological clocks.

  • http://www.bioinf.uni-leipzig.de/~raim/yeast/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 10, 2022.
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The cell growth cycle: resource allocation and subcellular pattern formation in budding yeast
Rainer Machné, Douglas B. Murray, Stephan H. Bernhart, Ilka M. Axmann, Peter F. Stadler
bioRxiv 2021.05.26.444658; doi: https://doi.org/10.1101/2021.05.26.444658
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The cell growth cycle: resource allocation and subcellular pattern formation in budding yeast
Rainer Machné, Douglas B. Murray, Stephan H. Bernhart, Ilka M. Axmann, Peter F. Stadler
bioRxiv 2021.05.26.444658; doi: https://doi.org/10.1101/2021.05.26.444658

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