Time-Structure of the Yeast Metabolism In vivo

  • Kalesh Sasidharan
  • Masaru Tomita
  • Miguel Aon
  • David LloydEmail author
  • Douglas B. MurrayEmail author
Conference paper
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 736)


All previous studies on the yeast metabolome have yielded a plethora of information on the components, function and organisation of low molecular mass and macromolecular components involved in the cellular metabolic network. Here we emphasise that an understanding of the global dynamics of the metabolome in vivo requires elucidation of the temporal dynamics of metabolic processes on many time-scales. We illustrate this using the 40 min oscillation in respiratory activity displayed in auto-synchronous continuously grown cultures of Saccharomyces cerevisiae, where respiration cycles between a phase of increased respiration (oxidative phase) and decreased respiration (reductive phase). Thereby an ultradian clock, i.e. a timekeeping device that runs through many cycles during one day, is involved in the co-ordination of the vast majority of events and processes in yeast. Through continuous online measurements, we first show that mitochondrial and redox physiology are intertwined to produce the temporal landscape on which cellular events occur. Next we look at the higher order processes of DNA duplication and mitochondrial structure to reveal that both events are choreographed during the respiratory cycles. Furthermore, spectral analysis using the discrete Fourier transformation of high-resolution (10 Hz) time-series of NAD(P)H confirms the existence of higher frequency components of biological origin and that these follow a scale-free architecture even in stable oscillating modes. A different signal-processing approach using discrete wavelet transformations (DWT) indicates that there is a significant contribution to the overall signal from ∼ 5, ∼ 10 and ∼ 20-minutes cycles and the amplitudes of these cycles are phase-dependent. Further investigation (derivative of Gaussian continuous wavelet transformation) reveals that the observed 20-minutes cycles are actually confined to the reductive phase and consist of two ∼ 15-minutes cycles. Moreover, the 5 and 10-minutes cycles are restricted to the oxidative phase of the cycle. The mitochondrial origin of these signals was confirmed by pulse-injection of the cytochrome c oxidase inhibitor H2S. We next discuss how these multi-oscillatory states can impinge on the apparently complex reactome (represented as a phase diagram of 1,650 chemical species that show oscillatory behaviour). We conclude that biological processes can be considerably more comprehensible when dynamic in vivo time-structure is taken into account.


Discrete Wavelet Transformation Oxidative Phase Continuous Wavelet Transformation Flavin Adenine Dinucleotide Oxygen Uptake Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank Rainer Machné for helpful discussions. DL and DBM are grateful to the Royal Society and the Japan Society for the Promotion of Science for supporting this work. KS, DBM and MT are supported in part by funds from Yamagata Prefectural Government and Tsuruoka-city. MT and DBM are also supported by a Japan partnering award (Japan Science and Technology agency and the Biotechnology and Biological Sciences Research Council, UK).


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Institute for Advanced BiosciencesKeio UniversityTsuruoka CityJapan
  2. 2.School of MedicineJohns Hopkins UniversityBaltimoreUSA
  3. 3.Microbiology, School of BiosciencesCardiff UniversityCardiffUK

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