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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Carrera, Javier | - |
dc.contributor.author | Fernández-del-Carmen, Asun | - |
dc.contributor.author | Fernández-Muñoz, Rafael | - |
dc.contributor.author | Rambla, José Luis | - |
dc.contributor.author | Pons, Clara | - |
dc.contributor.author | Jaramillo, Alfonso | - |
dc.contributor.author | Elena, Santiago F. | - |
dc.contributor.author | Granell, Antonio | - |
dc.date.accessioned | 2012-10-30T12:15:29Z | - |
dc.date.available | 2012-10-30T12:15:29Z | - |
dc.date.issued | 2012-06 | - |
dc.identifier.citation | Plos Computational Biology 8(6): e1002528 (2012) | es_ES |
dc.identifier.issn | 1553-7358 | - |
dc.identifier.uri | http://hdl.handle.net/10261/59206 | - |
dc.description | This is an open-access article distributed under the terms of the Creative Commons Attribution License. | - |
dc.description.abstract | 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 Innovación, the Strutctural Funds of the European Regional Development Fund (ERDF) FP7-ICT-043338 (BACTOCOM), the FP7-ICT-265505 (CADMAD), the ATIGE-Genopole, and the Fondation por la Recherche Medicale grants to AJ, and by grant BFU2009-06993 from the Spanish Ministerio de Ciencia e Innovación to SFE and EPSOL, Fundación Genoma España and EUSOL european Comission Contract number: FOOD-CT-2006-016214, to A.G. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Public Library of Science | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/265505 | - |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/043338 | - |
dc.relation.isversionof | Publisher's version | - |
dc.rights | openAccess | es_ES |
dc.subject | Transcriptional control | es_ES |
dc.subject | Arabidopsis thaliana | es_ES |
dc.subject | Fruit-Development | es_ES |
dc.subject | Line population | es_ES |
dc.subject | Networks | es_ES |
dc.subject | Model | es_ES |
dc.subject | Optimization | es_ES |
dc.subject | Metabolism | es_ES |
dc.subject | Selection | es_ES |
dc.subject | Behaviour | 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.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1371/journal.pcbi.1002528 | es_ES |
dc.identifier.pmid | 22685389 | - |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
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