Phosphofructokinase controls the acetaldehyde-induced phase shift in isolated yeast glycolytic oscillators

Author:

van Niekerk David D.1,Gustavsson Anna-Karin234,Mojica-Benavides Martin2,Adiels Caroline B.2,Goksör Mattias2,Snoep Jacky L.156ORCID

Affiliation:

1. Department of Biochemistry, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa

2. Department of Physics, University of Gothenburg, Gothenburg SE-41296, Sweden

3. Department of Chemistry, Stanford University, Stanford, California 94305, U.S.A.

4. Department of Biosciences and Nutrition, Karolinska Institutet, SE-171 77 Stockholm, Sweden

5. Molecular Cell Physiology, Vrije Universiteit, De Boelelaan 1087, 1081 HV, Amsterdam, The Netherlands

6. Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, The University of Manchester, Manchester M60 1QD, U.K.

Abstract

Abstract The response of oscillatory systems to external perturbations is crucial for emergent properties such as synchronisation and phase locking and can be quantified in a phase response curve (PRC). In individual, oscillating yeast cells, we characterised experimentally the phase response of glycolytic oscillations for external acetaldehyde pulses and followed the transduction of the perturbation through the system. Subsequently, we analysed the control of the relevant system components in a detailed mechanistic model. The observed responses are interpreted in terms of the functional coupling and regulation in the reaction network. We find that our model quantitatively predicts the phase-dependent phase shift observed in the experimental data. The phase shift is in agreement with an adaptation leading to synchronisation with an external signal. Our model analysis establishes that phosphofructokinase plays a key role in the phase shift dynamics as shown in the PRC and adaptation time to external perturbations. Specific mechanism-based interventions, made possible through such analyses of detailed models, can improve upon standard trial and error methods, e.g. melatonin supplementation to overcome jet-lag, which are error-prone, specifically, since the effects are phase dependent and dose dependent. The models by Gustavsson and Goldbeter discussed in the text can be obtained from the JWS Online simulation database: (https://jjj.bio.vu.nl/models/gustavsson5 and https://jjj.bio.vu.nl/models/goldbeter1)

Publisher

Portland Press Ltd.

Subject

Cell Biology,Molecular Biology,Biochemistry

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