Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops

Synthetic biology opens up the possibility of creating circuits that would not survive in the natural world and studying their behaviors in living cells, expanding our notion of biology. Based on this, we analyze on a synthetic biological system the effect of coupling between two instability-generat...

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Main Authors: Aimin Chen, Caixia Liu, Junwei Wang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/694854
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spelling doaj-4dc8a0bb38464889a61ee809c4e785052020-11-24T22:25:49ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/694854694854Birhythmicity and Hard Excitation from Coupled Synthetic Feedback LoopsAimin Chen0Caixia Liu1Junwei Wang2Institute of Applied Mathematics, Henan University, Kaifeng 475004, ChinaSchool of Mathematics and Information Science, Henan University, Kaifeng 475004, ChinaSchool of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, ChinaSynthetic biology opens up the possibility of creating circuits that would not survive in the natural world and studying their behaviors in living cells, expanding our notion of biology. Based on this, we analyze on a synthetic biological system the effect of coupling between two instability-generating mechanisms. The systems considered are two topologically equivalent synthetic networks. In addition to simple periodic oscillations and stable steady state, the system can exhibit a variety of new modes of dynamic behavior: coexistence between two stable periodic regimes (birhythmicity) and coexistence of a stable periodic regime with a stable steady state (hard excitation). Birhythmicity and hard excitation have been proved to exist in biochemical networks. Through bifurcation analysis on these two synthetic cellular networks, we analyze the function of network structure for the collapse and revival of birhythmicity and hard excitation with the variation of parameters. The results have illustrated that the bifurcation space can be divided into four subspaces for which the dynamical behaviors of the system are generically distinct. Our analysis corroborates the results obtained by numerical simulation of the dynamics.http://dx.doi.org/10.1155/2014/694854
collection DOAJ
language English
format Article
sources DOAJ
author Aimin Chen
Caixia Liu
Junwei Wang
spellingShingle Aimin Chen
Caixia Liu
Junwei Wang
Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops
Journal of Applied Mathematics
author_facet Aimin Chen
Caixia Liu
Junwei Wang
author_sort Aimin Chen
title Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops
title_short Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops
title_full Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops
title_fullStr Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops
title_full_unstemmed Birhythmicity and Hard Excitation from Coupled Synthetic Feedback Loops
title_sort birhythmicity and hard excitation from coupled synthetic feedback loops
publisher Hindawi Limited
series Journal of Applied Mathematics
issn 1110-757X
1687-0042
publishDate 2014-01-01
description Synthetic biology opens up the possibility of creating circuits that would not survive in the natural world and studying their behaviors in living cells, expanding our notion of biology. Based on this, we analyze on a synthetic biological system the effect of coupling between two instability-generating mechanisms. The systems considered are two topologically equivalent synthetic networks. In addition to simple periodic oscillations and stable steady state, the system can exhibit a variety of new modes of dynamic behavior: coexistence between two stable periodic regimes (birhythmicity) and coexistence of a stable periodic regime with a stable steady state (hard excitation). Birhythmicity and hard excitation have been proved to exist in biochemical networks. Through bifurcation analysis on these two synthetic cellular networks, we analyze the function of network structure for the collapse and revival of birhythmicity and hard excitation with the variation of parameters. The results have illustrated that the bifurcation space can be divided into four subspaces for which the dynamical behaviors of the system are generically distinct. Our analysis corroborates the results obtained by numerical simulation of the dynamics.
url http://dx.doi.org/10.1155/2014/694854
work_keys_str_mv AT aiminchen birhythmicityandhardexcitationfromcoupledsyntheticfeedbackloops
AT caixialiu birhythmicityandhardexcitationfromcoupledsyntheticfeedbackloops
AT junweiwang birhythmicityandhardexcitationfromcoupledsyntheticfeedbackloops
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