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dc.contributor.authorValero, Edelmira
dc.contributor.authorMacià, Hermenegilda
dc.contributor.authorMartínez de la Fuente Martínez, Ildefonso Abel
dc.contributor.authorHernández, José Antonio
dc.contributor.authorGonzález Sánchez, María Isabel
dc.contributor.authorGarcía Carmona, Francisco
dc.date.accessioned2019-04-09T11:28:01Z
dc.date.available2019-04-09T11:28:01Z
dc.date.issued2016-01-22
dc.identifier.citationBMC Systems Biology 10 : (2016) // Article ID 11es_ES
dc.identifier.issn1752-0509
dc.identifier.urihttp://hdl.handle.net/10810/32383
dc.description.abstractBackground: Light/dark cycles are probably the most important environmental signals that regulate plant development. Light is essential for photosynthesis, but an excess, in combination with the unavoidable presence of atmospheric oxygen inside the chloroplast, leads to excessive reactive oxygen species production. Among the defense mechanisms that activate plants to cope with environmental stress situations, it is worth noting the ascorbate-glutathione cycle, a complex metabolic pathway in which a variety of photochemical, chemical and enzymatic steps are involved. Results: We herein studied the dynamic behavior of this pathway under light/dark conditions and for several consecutive days. For this purpose, a mathematical model was developed including a variable electron source with a rate law proportional to the intensity of solar irradiance during the photoperiod, and which is continuously turned off at night and on again the next day. The model is defined by a nonlinear system of ordinary differential equations with an on/off time-dependent input, including a parameter to simulate the fact that the photoperiod length is not constant throughout the year, and which takes into account the particular experimental kinetics of each enzyme involved in the pathway. Unlike previous models, which have only provided steady-state solutions, the present model is able to simulate diurnal fluctuations in the metabolite concentrations, fluxes and enzymatic rates involved in the network. Conclusions: The obtained results are broadly consistent with experimental observations and highlight the key role played by ascorbate recycling for plants to adapt to their surrounding environment. This approach provides a new strategy to in vivo studies to analyze plant defense mechanisms against oxidative stress induced by external changes, which can also be extrapolated to other complex metabolic pathways to constitute a useful tool to the scientific community in general.es_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Economy and Competitiveness (MINECO, http://www.mineco.gob.es/portal/site/mineco/idi), Project No. BFU2013-44095-P (cofunded with FEDER funds, EU), and by the Junta de Comunidades de Castilla-La Mancha (http://www.educa.jccm.es/idiuniv/es), Project No. PEII-2014-014-A (cofunded with FEDER funds, EU). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.language.isoenges_ES
dc.publisherBiomed Centrales_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/BFU2013-44095-Pes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectlight/dark cycleses_ES
dc.subjectascorbate-glutathione cyclees_ES
dc.subjectcomputer simulationes_ES
dc.subjectoxidative stresses_ES
dc.subjectreactive oxygen specieses_ES
dc.subjectchloroplastes_ES
dc.subjectsuperoxide-dismutasees_ES
dc.subjectmonodehydroascorbate reductasees_ES
dc.subjectdehydroascorbate reductasees_ES
dc.subjectsteady-statees_ES
dc.subjectacides_ES
dc.subjectstresses_ES
dc.subjectspinaches_ES
dc.subjectenzymeses_ES
dc.subjectleaveses_ES
dc.subjectoxygenes_ES
dc.titleModeling the Ascorbate-Glutathione Cycle in Chloroplasts under Light/Dark Conditionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-015-0239-yes_ES
dc.identifier.doi10.1186/s12918-015-0239-y
dc.departamentoesMatemáticases_ES
dc.departamentoeuMatematikaes_ES


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