Literature DB >> 17074432

A tuneable attractor underlies yeast respiratory dynamics.

Douglas B Murray1, David Lloyd.   

Abstract

Our understanding of the molecular structure and function in the budding yeast, Saccharomyces cerevisiae, surpasses that of all other eukaryotic cells. However, the fundamental properties of the complex processes and their control systems have been difficult to reconstruct from detailed dissection of their molecular components. Spontaneous oscillatory dynamics observed in self-synchronized continuous cultures is pervasive, involves much of the cellular network, and provides unique insights into integrative cell physiology. Here, in non-invasive experiments in vivo, we exploit these oscillatory dynamics to analyse the global timing of the cellular network to show the presence of a low-order chaotic component. Although robust to a wide range of environmental perturbations, the system responds and reacts to the imposition of harsh environmental conditions, in this case low pH, by dynamic re-organization of respiration, and this feeds upwards to affect cell division. These complex dynamics can be represented by a tuneable attractor that orchestrates cellular complexity and coherence to the environment.

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Year:  2006        PMID: 17074432     DOI: 10.1016/j.biosystems.2006.09.032

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  8 in total

Review 1.  What yeast and cardiomyocytes share: ultradian oscillatory redox mechanisms of cellular coherence and survival.

Authors:  David Lloyd; Sonia Cortassa; Brian O'Rourke; Miguel A Aon
Journal:  Integr Biol (Camb)       Date:  2011-12-05       Impact factor: 2.192

2.  Dynamics of oscillatory phenotypes in Saccharomyces cerevisiae reveal a network of genome-wide transcriptional oscillators.

Authors:  Shwe L Chin; Ian M Marcus; Robert R Klevecz; Caroline M Li
Journal:  FEBS J       Date:  2012-02-27       Impact factor: 5.542

3.  The yin and yang of yeast transcription: elements of a global feedback system between metabolism and chromatin.

Authors:  Rainer Machné; Douglas B Murray
Journal:  PLoS One       Date:  2012-06-07       Impact factor: 3.240

4.  A conserved cell growth cycle can account for the environmental stress responses of divergent eukaryotes.

Authors:  Nikolai Slavov; Edoardo M Airoldi; Alexander van Oudenaarden; David Botstein
Journal:  Mol Biol Cell       Date:  2012-03-28       Impact factor: 4.138

5.  Temporal metabolic partitioning of the yeast and protist cellular networks: the cell is a global scale-invariant (fractal or self-similar) multioscillator.

Authors:  David Lloyd; Douglas B Murray; Miguel A Aon; Sonia Cortassa; Marc R Roussel; Manfred Beckmann; Robert K Poole
Journal:  J Biomed Opt       Date:  2018-12       Impact factor: 3.170

6.  A yeast metabolite extraction protocol optimised for time-series analyses.

Authors:  Kalesh Sasidharan; Tomoyoshi Soga; Masaru Tomita; Douglas B Murray
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

7.  The scale-free dynamics of eukaryotic cells.

Authors:  Miguel A Aon; Marc R Roussel; Sonia Cortassa; Brian O'Rourke; Douglas B Murray; Manfred Beckmann; David Lloyd
Journal:  PLoS One       Date:  2008-11-04       Impact factor: 3.240

8.  Complex oscillatory redox dynamics with signaling potential at the edge between normal and pathological mitochondrial function.

Authors:  Jackelyn M Kembro; Sonia Cortassa; Miguel A Aon
Journal:  Front Physiol       Date:  2014-07-08       Impact factor: 4.566

  8 in total

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