Evidence map›Paper›PMID 35514036›Full record

ArticlePlant biotechnology journal2022

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

Sara Selma, Neus Sanmartín, Ana Espinosa-Ruiz, Silvia Gianoglio, Maria Pilar Lopez-Gresa, Marta Vázquez-Vilar, Victor Flors, Antonio Granell, Diego Orzaez

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 36 citations in OpenAlex.

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  18. The advent of plant cells in bioreactors.Frontiers in plant science · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Sara SelmaInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.ORCID 0000-0001-9566-0439
Neus SanmartínEscuela Superior de Tecnología y Ciencias Experimentales, Universidad Jaume I, Castellón de la Plana, Spain.ORCID 0000-0002-1720-0477
Ana Espinosa-RuizInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.
Silvia GianoglioInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.
Maria Pilar Lopez-GresaInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.
Marta Vázquez-VilarInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.ORCID 0000-0001-7175-7818
Victor FlorsEscuela Superior de Tecnología y Ciencias Experimentales, Universidad Jaume I, Castellón de la Plana, Spain.
Antonio GranellInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.
Diego OrzaezInstituto Biologia Molecular de Plantas, CSIC-UPV, Valencia, Spain.ORCID 0000-0003-1662-5403
Instituto de Biología Molecular y Celular de Plantas · ESUniversitat Jaume I · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsPlant LeavesFlavonoidsMetabolomeNicotianaFlavonoidsCRISPRaflavonoid pathwaymetabolic engineeringNicotiana benthamiana

Identifiers

PMID35514036
PMCPMC9342607
OpenAlexW4229040307

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.