Evidence map›Paper›PMID 37129736›Full record

ArticlePlant molecular biology2023

Subcritical water extraction of Equisetum arvense biomass withdraws cell wall fractions that trigger plant immune responses and disease resistance.

Diego Rebaque, Gemma López, Yolanda Sanz, Francisco Vilaplana, Frèderic Brunner, Hugo Mélida, Antonio Molina

Open access · hybridAbstract read
In one paragraph

Article in Plant molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 2 countries.

Diego RebaqueCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA/CSIC), Pozuelo de Alarcón (Madrid), Campus de Montegancedo UPM, Madrid, 28223, Spain.
Gemma LópezCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA/CSIC), Pozuelo de Alarcón (Madrid), Campus de Montegancedo UPM, Madrid, 28223, Spain.
Yolanda SanzPlantResponse Inc, Centro de Empresas, Campus de Montegancedo UPM, 28223-Pozuelo de Alarcón (Madrid), Madrid, Spain.
Francisco VilaplanaDivision of Glycoscience, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), Stockholm, Sweden.
Frèderic BrunnerPlantResponse Inc, Centro de Empresas, Campus de Montegancedo UPM, 28223-Pozuelo de Alarcón (Madrid), Madrid, Spain.
Hugo MélidaCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA/CSIC), Pozuelo de Alarcón (Madrid), Campus de Montegancedo UPM, Madrid, 28223, Spain. hmelm@unileon.es.ORCID http://orcid.org/0000-0003-1792-0113
Antonio MolinaCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA/CSIC), Pozuelo de Alarcón (Madrid), Campus de Montegancedo UPM, Madrid, 28223, Spain. antonio.molina@upm.es.
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ESCentre for Plant Biotechnology and Genomics · ESKTH Royal Institute of Technology · SETécnicas y Servicios de Ingeniería (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant cell walls are complex structures mainly made up of carbohydrate and phenolic polymers. In addition to their structural roles, cell walls function as external barriers against pathogens and are also reservoirs of glycan structures that can be perceived by plant receptors, activating Pattern-Triggered Immunity (PTI). Since these PTI-active glycans are usually released upon plant cell wall degradation, they are classified as Damage Associated Molecular Patterns (DAMPs). Identification of DAMPs imply their extraction from plant cell walls by using multistep methodologies and hazardous chemicals. Subcritical water extraction (SWE) has been shown to be an environmentally sustainable alternative and a simplified methodology for the generation of glycan-enriched fractions from different cell wall sources, since it only involves the use of water. Starting from Equisetum arvense cell walls, we have explored two different SWE sequential extractions (isothermal at 160 ºC and using a ramp of temperature from 100 to 160 ºC) to obtain glycans-enriched fractions, and we have compared them with those generated with a standard chemical-based wall extraction. We obtained SWE fractions enriched in pectins that triggered PTI hallmarks in Arabidopsis thaliana such as calcium influxes, reactive oxygen species production, phosphorylation of mitogen activated protein kinases and overexpression of immune-related genes. Notably, application of selected SWE fractions to pepper plants enhanced their disease resistance against the fungal pathogen Sclerotinia sclerotiorum. These data support the potential of SWE technology in extracting PTI-active fractions from plant cell wall biomass containing DAMPs and the use of SWE fractions in sustainable crop production.

Indexed as

ArabidopsisArabidopsis ProteinsEquisetumBiomassCell WallDisease ResistancePlant DiseasesPlant ImmunityPlantsPolysaccharidesArabidopsis ProteinsPolysaccharidesCell wallDisease resistanceGlycanPattern triggered immunity (PTI)Subcritical Water extraction (SWE)

Identifiers

PMID37129736
PMCPMC10730674
OpenAlexW4367668327

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.