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Fine-tuning tomato agronomic properties by computational genome redesign

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Fine-tuning tomato agronomic properties by computational genome redesign

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Nombre: J. CARRERA;Fernan ...
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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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