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dc.contributor.authorSelma, Sara
dc.contributor.authorSanmartín, Neus
dc.contributor.authorEspinosa-Ruiz, Ana
dc.contributor.authorGianoglio, Silvia
dc.contributor.authorLópez-Gresa, María Pilar
dc.contributor.authorVazquez-Vilar, Marta
dc.contributor.authorFlors, Victor
dc.contributor.authorGranell, Antonio
dc.contributor.authorORZAEZ, DIEGO
dc.date.accessioned2022-09-15T08:43:25Z
dc.date.available2022-09-15T08:43:25Z
dc.date.issued2022-05-05
dc.identifier.citationSelma, S., Sanmartín, N., Espinosa-Ruiz, A., Gianoglio, S., Lopez-Gresa, M. P., Vázquez-Vilar, M., Flors, V., Granell, A. and Orzaez, D. (2022) Custom-made design of metabolite composition in N. benthamiana leaves using CRISPR activators. Plant Biotechnol. J.ca_CA
dc.identifier.issn1467-7644
dc.identifier.issn1467-7652
dc.identifier.urihttp://hdl.handle.net/10234/199392
dc.description.abstractTranscriptional 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.ca_CA
dc.format.extent13 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherWileyca_CA
dc.relationPlan Nacional I + Dca_CA
dc.relation.isPartOfPlant Biotechnology Journal 20 (2022)ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/ca_CA
dc.subjectCRISPRaca_CA
dc.subjectmetabolic engineeringca_CA
dc.subjectNicotiana benthamianaca_CA
dc.subjectflavonoid pathwayca_CA
dc.titleCustom-made design of metabolite composition in N. benthamiana leaves using CRISPR activatorsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1111/pbi.13834
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameMinisterio de Ciencia, Innovación y Universidadesca_CA
project.funder.nameMinisterio de Economía y Competitividadca_CA
oaire.awardNumberPID2019-108203RB-10ca_CA
oaire.awardNumberBIO2016- 78601-Rca_CA


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