PubMed 35514036

PubMed ID: 35514036

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Custom-made design of metabolite composition in N. benthamiana leaves using CRISPR activators.
Authors: Selma Sara, Sanmartín Neus, Espinosa-Ruiz Ana, Gianoglio Silvia, Lopez-Gresa Maria Pilar, Vázquez-Vilar Marta, Flors Victor, Granell Antonio, Orzaez Diego
Journal: Plant biotechnology journal (Plant Biotechnol J), Vol.20(8), 2022‑Aug

DOI: 10.1111/pbi.13834 PMCID: PMC4639801

Abstract
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.
Publication Types
Journal Article Research Support, Non-U.S. Gov't
Keywords
Nicotiana benthamiana CRISPRa flavonoid pathway metabolic engineering
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