Title Nonequilibrium Enhances Adaptation Efficiency of Stochastic Biochemical Systems
Authors Jia, Chen
Qian, Minping
Affiliation Beijing Computat Sci Res Ctr, Beijing, Peoples R China.
Univ Texas Dallas, Dept Math Sci, Richardson, TX 75083 USA.
Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China.
Beijing Computat Sci Res Ctr, Beijing, Peoples R China.
Jia, C (reprint author), Univ Texas Dallas, Dept Math Sci, Richardson, TX 75083 USA.
Keywords RYANODINE RECEPTOR ADAPTATION
CA2+-INDUCED CA2+ RELEASE
SENSORY ADAPTATION
BACTERIAL CHEMOTAXIS
RESPONSE PROPERTIES
ADENYLATE-CYCLASE
ESCHERICHIA-COLI
RAPID ADAPTATION
MECHANISM
PHOSPHORYLATION
Issue Date 2016
Publisher PLOS ONE
Citation PLOS ONE.2016,11,(5).
Abstract Adaptation is a crucial biological function possessed by many sensory systems. Early work has shown that some influential equilibrium models can achieve accurate adaptation. However, recent studies indicate that there are close relationships between adaptation and non-equilibrium. In this paper, we provide an explanation of these two seemingly contradictory results based on Markov models with relatively simple networks. We show that as the non-equilibrium driving becomes stronger, the system under consideration will undergo a phase transition along a fixed direction: from non-adaptation to simple adaptation then to oscillatory adaptation, while the transition in the opposite direction is forbidden. This indicates that although adaptation may be observed in equilibrium systems, it tends to occur in systems far away from equilibrium. In addition, we find that nonequilibrium will improve the performance of adaptation by enhancing the adaptation efficiency. All these results provide a deeper insight into the connection between adaptation and nonequilibrium. Finally, we use a more complicated network model of bacterial chemotaxis to validate the main results of this paper.
URI http://hdl.handle.net/20.500.11897/433675
ISSN 1932-6203
DOI 10.1371/journal.pone.0155838
Indexed SCI(E)
PubMed
Appears in Collections: 数学科学学院

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