Limit cycles in models of circular gene networks regulated by negative feedback loops

Abstract Background The regulatory feedback loops that present in structural and functional organization of molecular-genetic systems and the phenomenon of the regulatory signal delay, a time period between the moment of signal reception and its implementation, provide natural conditions for complic...

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Main Authors: Vitaly A. Likhoshvai, Vladimir P. Golubyatnikov, Tamara M. Khlebodarova
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-020-03598-z
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author Vitaly A. Likhoshvai
Vladimir P. Golubyatnikov
Tamara M. Khlebodarova
author_facet Vitaly A. Likhoshvai
Vladimir P. Golubyatnikov
Tamara M. Khlebodarova
author_sort Vitaly A. Likhoshvai
collection DOAJ
description Abstract Background The regulatory feedback loops that present in structural and functional organization of molecular-genetic systems and the phenomenon of the regulatory signal delay, a time period between the moment of signal reception and its implementation, provide natural conditions for complicated dynamic regimes in these systems. The delay phenomenon at the intracellular level is a consequence of the matrix principle of data transmission, implemented through the rather complex processes of transcription and translation.However, the rules of the influence of system structure on system dynamics are not clearly understood. Knowledge of these rules is particularly important for construction of synthetic gene networks with predetermined properties. Results We study dynamical properties of models of simplest circular gene networks regulated by negative feedback mechanisms. We have shown existence and stability of oscillating trajectories (cycles) in these models. Two algorithms of construction and localization of these cycles have been proposed. For one of these models, we have solved an inverse problem of parameters identification. Conclusions The modeling results demonstrate that non-stationary dynamics in the models of circular gene networks with negative feedback loops is achieved by a high degree of non-linearity of the mechanism of the autorepressor influence on its own expression, by the presence of regulatory signal delay, the value of which must exceed a certain critical value, and transcription/translation should be initiated from a sufficiently strong promoter/Shine-Dalgarno site. We believe that the identified patterns are key elements of the oscillating construction design.
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spelling doaj.art-89363eb1dc274465aef7f4001b3749ca2022-12-21T19:08:35ZengBMCBMC Bioinformatics1471-21052020-09-0121S1111510.1186/s12859-020-03598-zLimit cycles in models of circular gene networks regulated by negative feedback loopsVitaly A. Likhoshvai0Vladimir P. Golubyatnikov1Tamara M. Khlebodarova2Department of Systems Biology, Institute of Cytology and Genetics, Siberian Branch RASLaboratory of Inverse Problems of Mathematical Physics, Sobolev Institute of Mathematics Siberian Branch RASDepartment of Systems Biology, Institute of Cytology and Genetics, Siberian Branch RASAbstract Background The regulatory feedback loops that present in structural and functional organization of molecular-genetic systems and the phenomenon of the regulatory signal delay, a time period between the moment of signal reception and its implementation, provide natural conditions for complicated dynamic regimes in these systems. The delay phenomenon at the intracellular level is a consequence of the matrix principle of data transmission, implemented through the rather complex processes of transcription and translation.However, the rules of the influence of system structure on system dynamics are not clearly understood. Knowledge of these rules is particularly important for construction of synthetic gene networks with predetermined properties. Results We study dynamical properties of models of simplest circular gene networks regulated by negative feedback mechanisms. We have shown existence and stability of oscillating trajectories (cycles) in these models. Two algorithms of construction and localization of these cycles have been proposed. For one of these models, we have solved an inverse problem of parameters identification. Conclusions The modeling results demonstrate that non-stationary dynamics in the models of circular gene networks with negative feedback loops is achieved by a high degree of non-linearity of the mechanism of the autorepressor influence on its own expression, by the presence of regulatory signal delay, the value of which must exceed a certain critical value, and transcription/translation should be initiated from a sufficiently strong promoter/Shine-Dalgarno site. We believe that the identified patterns are key elements of the oscillating construction design.http://link.springer.com/article/10.1186/s12859-020-03598-zMathematical modelingCircular gene networksDelay argument equationsFeedback loops regulationAutorepressorCycles
spellingShingle Vitaly A. Likhoshvai
Vladimir P. Golubyatnikov
Tamara M. Khlebodarova
Limit cycles in models of circular gene networks regulated by negative feedback loops
BMC Bioinformatics
Mathematical modeling
Circular gene networks
Delay argument equations
Feedback loops regulation
Autorepressor
Cycles
title Limit cycles in models of circular gene networks regulated by negative feedback loops
title_full Limit cycles in models of circular gene networks regulated by negative feedback loops
title_fullStr Limit cycles in models of circular gene networks regulated by negative feedback loops
title_full_unstemmed Limit cycles in models of circular gene networks regulated by negative feedback loops
title_short Limit cycles in models of circular gene networks regulated by negative feedback loops
title_sort limit cycles in models of circular gene networks regulated by negative feedback loops
topic Mathematical modeling
Circular gene networks
Delay argument equations
Feedback loops regulation
Autorepressor
Cycles
url http://link.springer.com/article/10.1186/s12859-020-03598-z
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AT tamaramkhlebodarova limitcyclesinmodelsofcirculargenenetworksregulatedbynegativefeedbackloops