On the functional diversity of dynamical behaviour in genetic and metabolic feedback systems

dc.contributor.authorNguyen, K
dc.contributor.authorKulasiri, Don
dc.coverage.spatialEngland
dc.date.accessioned2010-04-14T05:10:43Z
dc.date.available2009-05-11
dc.date.issued2009-05-11
dc.date.submitted2009-05-11
dc.description.abstractBackground: Feedback regulation plays crucial roles in the robust control and maintenance of many cellular systems. Negative feedbacks are found to underline both stable and unstable, often oscillatory, behaviours. We explore the dynamical characteristics of systems with single as well as coupled negative feedback loops using a combined approach of analytical and numerical techniques. Particularly, we emphasise how the loop's characterising factors (strength and cooperativity levels) affect system dynamics and how individual loops interact in the coupled-loop systems. Results: We develop an analytical bifurcation analysis based on the stability and the Routh- Hurwitz theorem for a common negative feedback system and a variety of its variants. We demonstrate that different combinations of the feedback strengths of individual loops give rise to different dynamical behaviours. Moreover, incorporating more negative feedback loops always tend to enhance system stability. We show that two mechanisms, in addition to the lengthening of pathway, can lower the Hill coefficient to a biologically plausible level required for sustained oscillations. These include loops coupling and end-product utilisation. We find that the degradation rates solely affect the threshold Hill coefficient for sustained oscillation, while the synthesis rates have more significant roles in determining the threshold feedback strength. Unbalancing the degradation rates between the system species is found as a way to improve stability. Conclusion: The analytical methods and insights presented in this study demonstrate that reallocation of the feedback loop may or may not make the system more stable; the specific effect is determined by the degradation rates of the newly inhibited molecular species. As the loop moves closer to the end of the pathway, the minimum Hill coefficient for oscillation is reduced. Furthermore, under general (unequal) values of the degradation rates, system extension becomes more stable only when the added species degrades slower than it is being produced; otherwise the system is more prone to oscillation. The coupling of loops significantly increases the richness of dynamical bifurcation characteristics. The likelihood of having oscillatory behaviour is directly determined by the loops' strength: stronger loops always result in smaller oscillatory regions.
dc.format.extentpp.1-30
dc.format.mediumElectronic
dc.identifier1752-0509-3-51
dc.identifierhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000268144600001&DestLinkType=FullRecord&DestApp=WOS_CPL
dc.identifier.citationNguyen, L. K., & Kulasiri, D. (2009). On the functional diversity of dynamical behaviour in genetic and metabolic feedback systems. BMC Systems Biology, 3(51). doi:10.1186/1752-0509-3-51
dc.identifier.doi10.1186/1752-0509-3-51
dc.identifier.eissn1752-0509
dc.identifier.issn1752-0509
dc.identifier.other19432996 (pubmed)
dc.identifier.urihttps://hdl.handle.net/10182/1654
dc.language.isoen
dc.publisherBioMed Central Ltd.
dc.relationThe original publication is available from BioMed Central Ltd. - https://doi.org/10.1186/1752-0509-3-51 - http://hdl.handle.net/10182/1654
dc.relation.isPartOfBMC Systems Biology
dc.relation.urihttps://doi.org/10.1186/1752-0509-3-51
dc.rights© 2009 Nguyen and Kulasiri; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.ccnameAttribution
dc.rights.ccurihttps://creativecommons.org/licenses/by/4.0/
dc.subjectfeedback regulation
dc.subjectfeedback loops
dc.subject.anzsrc2020ANZSRC::3102 Bioinformatics and computational biology
dc.subject.anzsrc2020ANZSRC::3205 Medical biochemistry and metabolomics
dc.subject.marsdenMarsden::230113 Dynamical systems
dc.subject.marsdenMarsden::239901 Biological Mathematics
dc.subject.meshEscherichia coli
dc.subject.meshTryptophan
dc.subject.meshOperon
dc.subject.meshBasic Helix-Loop-Helix Transcription Factors
dc.subject.meshGene Regulatory Networks
dc.subject.meshFeedback, Physiological
dc.titleOn the functional diversity of dynamical behaviour in genetic and metabolic feedback systems
dc.typeJournal Article
lu.contributor.unitLU
lu.contributor.unitLU|Agriculture and Life Sciences
lu.contributor.unitLU|Agriculture and Life Sciences|WFMB
lu.contributor.unitLU|Research Management Office
lu.contributor.unitLU|Research Management Office|OLD QE18
lu.identifier.orcid0000-0001-8744-1578
pubs.issue51
pubs.publication-statusPublished
pubs.publisher-urlhttp://hdl.handle.net/10182/1654
pubs.volume3
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