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Custom-made design of metabolite composition in N. benthamiana leaves using CRISPR activators

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Custom-made design of metabolite composition in N. benthamiana leaves using CRISPR activators

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dc.contributor.author Selma, Sara es_ES
dc.contributor.author Sanmartín, Neus es_ES
dc.contributor.author Espinosa-Ruiz, Ana es_ES
dc.contributor.author Gianoglio, Silvia es_ES
dc.contributor.author López-Gresa, María Pilar es_ES
dc.contributor.author Vázquez-Vilar, Marta es_ES
dc.contributor.author Flors, Victor es_ES
dc.contributor.author GRANELL RICHART, ANTONIO es_ES
dc.contributor.author Orzáez Calatayud, Diego Vicente es_ES
dc.date.accessioned 2023-07-19T18:01:40Z
dc.date.available 2023-07-19T18:01:40Z
dc.date.issued 2022-08 es_ES
dc.identifier.issn 1467-7644 es_ES
dc.identifier.uri http://hdl.handle.net/10251/195217
dc.description.abstract [EN] Transcriptional regulators based on CRISPR architecture expand our ability to reprogramme endogenous gene expression in plants. One of their potential applications is the customization of plant metabolome through the activation of selected enzymes in a given metabolic pathway. Using the previously described multiplexable CRISPR activator dCasEV2.1, we assayed the selective enrichment in Nicotiana benthamiana leaves of four different flavonoids, namely, naringenin, eriodictyol, kaempferol, and quercetin. After careful selection of target genes and guide RNAs combinations, we created successful activation programmes for each of the four metabolites, each programme activating between three and seven genes, and with individual gene activation levels ranging from 4- to 1500-fold. Metabolic analysis of the flavonoid profiles of each multigene activation programme showed a sharp and selective enrichment of the intended metabolites and their glycosylated derivatives. Remarkably, principal component analysis of untargeted metabolic profiles clearly separated samples according to their activation treatment, and hierarchical clustering separated the samples into five groups, corresponding to the expected four highly enriched metabolite groups, plus an un-activated control. These results demonstrate that dCasEV2.1 is a powerful tool for re-routing metabolic fluxes towards the accumulation of metabolites of interest, opening the door for the custom-made design of metabolic contents in plants. es_ES
dc.description.sponsorship This work has been funded by Grant PID2019-108203RB-10 Plan Nacional I+D, Spanish Ministry of Science and Innovation and Spanish Ministry of Economy and Competitiveness. Sara Selma is a recipient of FPI fellowship associated with this Grant (BIO2016-78601-R). es_ES
dc.language Inglés es_ES
dc.publisher Blackwell Publishing es_ES
dc.relation.ispartof Plant Biotechnology Journal es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject CRISPRa es_ES
dc.subject Metabolic engineering es_ES
dc.subject Nicotiana benthamiana es_ES
dc.subject Flavonoid pathway es_ES
dc.subject.classification BIOQUIMICA Y BIOLOGIA MOLECULAR es_ES
dc.title Custom-made design of metabolite composition in N. benthamiana leaves using CRISPR activators es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1111/pbi.13834 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BIO2016-78601-R/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108203RB-I00/ES/EXPLOITING THE MODULAR ARCHITECTURE OF CRISPR%2FCAS TO DESIGN PROGRAMMABLE GENE CIRCUITS AND OTHER NEW BREEDING TOOLS IN PLANTS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.description.bibliographicCitation Selma, S.; Sanmartín, N.; Espinosa-Ruiz, A.; Gianoglio, S.; López-Gresa, MP.; Vázquez-Vilar, M.; Flors, V.... (2022). Custom-made design of metabolite composition in N. benthamiana leaves using CRISPR activators. Plant Biotechnology Journal. 20(8):1578-1590. https://doi.org/10.1111/pbi.13834 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1111/pbi.13834 es_ES
dc.description.upvformatpinicio 1578 es_ES
dc.description.upvformatpfin 1590 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 8 es_ES
dc.identifier.pmid 35514036 es_ES
dc.identifier.pmcid PMC9342607 es_ES
dc.relation.pasarela S\468705 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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