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

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 d...

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Autores principales: Selma, Sara, Sanmartín, Neus, Espinosa‐Ruiz, Ana, Gianoglio, Silvia, Lopez‐Gresa, Maria Pilar, Vázquez‐Vilar, Marta, Flors, Victor, Granell, Antonio, Orzaez, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342607/
https://www.ncbi.nlm.nih.gov/pubmed/35514036
http://dx.doi.org/10.1111/pbi.13834
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author Selma, Sara
Sanmartín, Neus
Espinosa‐Ruiz, Ana
Gianoglio, Silvia
Lopez‐Gresa, Maria Pilar
Vázquez‐Vilar, Marta
Flors, Victor
Granell, Antonio
Orzaez, Diego
author_facet Selma, Sara
Sanmartín, Neus
Espinosa‐Ruiz, Ana
Gianoglio, Silvia
Lopez‐Gresa, Maria Pilar
Vázquez‐Vilar, Marta
Flors, Victor
Granell, Antonio
Orzaez, Diego
author_sort Selma, Sara
collection PubMed
description 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.
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spelling pubmed-93426072022-08-03 Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators Selma, Sara Sanmartín, Neus Espinosa‐Ruiz, Ana Gianoglio, Silvia Lopez‐Gresa, Maria Pilar Vázquez‐Vilar, Marta Flors, Victor Granell, Antonio Orzaez, Diego Plant Biotechnol J Research Articles 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. John Wiley and Sons Inc. 2022-06-05 2022-08 /pmc/articles/PMC9342607/ /pubmed/35514036 http://dx.doi.org/10.1111/pbi.13834 Text en © 2022 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Selma, Sara
Sanmartín, Neus
Espinosa‐Ruiz, Ana
Gianoglio, Silvia
Lopez‐Gresa, Maria Pilar
Vázquez‐Vilar, Marta
Flors, Victor
Granell, Antonio
Orzaez, Diego
Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators
title Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators
title_full Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators
title_fullStr Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators
title_full_unstemmed Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators
title_short Custom‐made design of metabolite composition in N. benthamiana leaves using CRISPR activators
title_sort custom‐made design of metabolite composition in n. benthamiana leaves using crispr activators
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342607/
https://www.ncbi.nlm.nih.gov/pubmed/35514036
http://dx.doi.org/10.1111/pbi.13834
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