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dc.contributor.authorHamadeh, Aen_US
dc.contributor.authorRoberts, MAJen_US
dc.contributor.authorAugust, Een_US
dc.contributor.authorMcSharry, PEen_US
dc.contributor.authorMaini, PKen_US
dc.contributor.authorArmitage, JPen_US
dc.contributor.authorPapachristodoulou, Aen_US
dc.date.accessioned2014-01-28T15:31:33Z
dc.date.available2011-04-01en_US
dc.date.issued2011-05en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/5435
dc.descriptionPMCID: PMC3088647
dc.descriptionThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractBacteria move towards favourable and away from toxic environments by changing their swimming pattern. This response is regulated by the chemotaxis signalling pathway, which has an important feature: it uses feedback to 'reset' (adapt) the bacterial sensing ability, which allows the bacteria to sense a range of background environmental changes. The role of this feedback has been studied extensively in the simple chemotaxis pathway of Escherichia coli. However it has been recently found that the majority of bacteria have multiple chemotaxis homologues of the E. coli proteins, resulting in more complex pathways. In this paper we investigate the configuration and role of feedback in Rhodobacter sphaeroides, a bacterium containing multiple homologues of the chemotaxis proteins found in E. coli. Multiple proteins could produce different possible feedback configurations, each having different chemotactic performance qualities and levels of robustness to variations and uncertainties in biological parameters and to intracellular noise. We develop four models corresponding to different feedback configurations. Using a series of carefully designed experiments we discriminate between these models and invalidate three of them. When these models are examined in terms of robustness to noise and parametric uncertainties, we find that the non-invalidated model is superior to the others. Moreover, it has a 'cascade control' feedback architecture which is used extensively in engineering to improve system performance, including robustness. Given that the majority of bacteria are known to have multiple chemotaxis pathways, in this paper we show that some feedback architectures allow them to have better performance than others. In particular, cascade control may be an important feature in achieving robust functionality in more complex signalling pathways and in improving their performance.en_US
dc.format.extente1001130 - ?en_US
dc.languageengen_US
dc.relation.ispartofPLoS Comput Biolen_US
dc.subjectBacterial Physiological Phenomenaen_US
dc.subjectBacterial Proteinsen_US
dc.subjectChemotactic Factorsen_US
dc.subjectChemotaxisen_US
dc.subjectFeedback, Physiologicalen_US
dc.subjectLinear Modelsen_US
dc.subjectModels, Biologicalen_US
dc.subjectReproducibility of Resultsen_US
dc.subjectRhodobacter sphaeroidesen_US
dc.subjectSystems Biologyen_US
dc.titleFeedback control architecture and the bacterial chemotaxis network.en_US
dc.typeArticle
dc.identifier.doi10.1371/journal.pcbi.1001130en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/21573199en_US
pubs.issue5en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume7en_US
dcterms.dateAccepted2011-04-01en_US


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