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dc.contributor.author | Carrera Montesinos, Javier![]() |
es_ES |
dc.contributor.author | Fernández Del Carmen, María Asunción![]() |
es_ES |
dc.contributor.author | Fernández Muñoz, Rafael![]() |
es_ES |
dc.contributor.author | Rambla Nebot, Jose Luis![]() |
es_ES |
dc.contributor.author | Pons Puig, Clara![]() |
es_ES |
dc.contributor.author | Jaramillo Rosales, Alfonso![]() |
es_ES |
dc.contributor.author | Elena Fito, Santiago Fco![]() |
es_ES |
dc.contributor.author | Granell Richart, Antonio![]() |
es_ES |
dc.date.accessioned | 2015-12-23T09:45:18Z | |
dc.date.available | 2015-12-23T09:45:18Z | |
dc.date.issued | 2012-06-07 | |
dc.identifier.issn | 1553-734X | |
dc.identifier.uri | http://hdl.handle.net/10251/59169 | |
dc.description.abstract | [EN] Considering cells as biofactories, we aimed to optimize its internal processes by using the same engineering principles that large industries are implementing nowadays: lean manufacturing. We have applied reverse engineering computational methods to transcriptomic, metabolomic and phenomic data obtained from a collection of tomato recombinant inbreed lines to formulate a kinetic and constraint-based model that efficiently describes the cellular metabolism from expression of a minimal core of genes. Based on predicted metabolic profiles, a close association with agronomic and organoleptic properties of the ripe fruit was revealed with high statistical confidence. Inspired in a synthetic biology approach, the model was used for exploring the landscape of all possible local transcriptional changes with the aim of engineering tomato fruits with fine-tuned biotechnological properties. The method was validated by the ability of the proposed genomes, engineered for modified desired agronomic traits, to recapitulate experimental correlations between associated metabolites. | es_ES |
dc.description.sponsorship | This work was supported by grant TIN2006-12860 from the Spanish Ministerio de Ciencia e Innovacion), the Structural Funds of the European Regional Development Fund (ERDF), FP7-ICT-043338 (BACTOCOM), the FP7-ICT-265505 (CADMAD), the ATIGE-Genopole, and the Fondation pour la Recherche Medicale grants to AJ, and by grant BFU2009-06993 from the Spanish Ministerio de Ciencia e Innovacion to SFE and ESPSOL Fundacion Genoma Espana and EUSOL European Commission Contract number: FOOD-CT-2006-016214, to AG. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | |
dc.language | Español | es_ES |
dc.publisher | Public Library of Science | es_ES |
dc.relation.ispartof | PLoS Computational Biology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Lean manufacturing | es_ES |
dc.subject | Transcriptomic data | es_ES |
dc.subject | Metabolomic data | es_ES |
dc.subject | Phenomic data | es_ES |
dc.title | Fine-tuning tomato agronomic properties by computational genome redesign | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1371/journal.pcbi.1002528 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/043338/EU/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//TIN2006-12860/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/265505/EU/Paving the Way for Future Emerging DNA-based Technologies: Computer-Aided Design and Manufacturing of DNA libraries/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP6/16214/EU/High Quality Solanaceous Crops for Consumers, Processors and Producers by Exploration of Natural Biodiversity/EU-SOL/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//BFU2009-06993/ES/Biologia Evolutiva Y De Sistemas De La Emergencia De Fitovirus De Rna/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes | es_ES |
dc.description.bibliographicCitation | Carrera Montesinos, J.; Fernández Del Carmen, MA.; Fernández Muñoz, R.; Rambla Nebot, JL.; Pons Puig, C.; Jaramillo Rosales, A.; Elena Fito, SF.... (2012). Fine-tuning tomato agronomic properties by computational genome redesign. PLoS Computational Biology. 8(6):1002528-1002528. https://doi.org/10.1371/journal.pcbi.1002528 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1371/journal.pcbi.1002528 | es_ES |
dc.description.upvformatpinicio | 1002528 | es_ES |
dc.description.upvformatpfin | 1002528 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 8 | es_ES |
dc.description.issue | 6 | es_ES |
dc.relation.senia | 232198 | es_ES |
dc.identifier.eissn | 1553-7358 | |
dc.identifier.pmid | 22685389 | en_EN |
dc.identifier.pmcid | PMC3369923 | en_EN |
dc.contributor.funder | Ministerio de Ciencia e Innovación | |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |
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