Evidence map›Paper›PMID 41402654›Full record

ArticleAnalytical and bioanalytical chemistry2026

Metabolomic fingerprint of Reynoutria japonica (Polygonaceae) using suspect screening with LC-HRMS and untargeted approach with GC-HRMS.

Victoria Bohm, Andrea Castaldi, Estelle Forey, Matthieu Chauvat, Pascal Cardinael, Valerie Peulon-Agasse

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

6 authors.

Victoria BohmUniv Rouen Normandie, Normandie Univ, FR3038, SMS, UR 3233, F-76000, Rouen, France.
Andrea CastaldiUniv Rouen Normandie, Normandie Univ, FR3038, SMS, UR 3233, F-76000, Rouen, France.
Estelle ForeyUniv Rouen Normandie, INRAE, Normandie Univ, ECODIV USC 1499, F-76000, Rouen, France.
Matthieu ChauvatUniv Rouen Normandie, INRAE, Normandie Univ, ECODIV USC 1499, F-76000, Rouen, France.
Pascal CardinaelUniv Rouen Normandie, Normandie Univ, FR3038, SMS, UR 3233, F-76000, Rouen, France.
Valerie Peulon-AgasseUniv Rouen Normandie, Normandie Univ, FR3038, SMS, UR 3233, F-76000, Rouen, France. valerie.agasse@univ-rouen.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knotweed (Reynoutria japonica) is an invasive plant whose ecological dominance in its invasive range may partly rely on allelopathic interactions mediated by root exudates and especially secondary metabolites of wide polarity range. To elucidate the chemical diversity of these exudates, a metabolomic strategy combining liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) and gas chromatography coupled to high-resolution mass spectrometry (GC-HRMS) was employed. After optimization of EcoRoot methodology with design of experiment (DoE), root exudates were sampled with 3 different sorption materials and analyzed using LC-ESI-MS/MS and GC-HRMS. Molecular networking was applied to MS/MS data to visualize chemical structural similarities and facilitate the identification of metabolites with a confidence annotation scale. Diverse families of compounds, including flavonoids, alkaloids, organic acids, terpenoids, and phenolics, were annotated and many of which could be implicated in allelopathic interactions or rhizospheric communication. Notably, molecular networks highlighted the presence of lineage-specific metabolites (Polygonaceae). Also, suspect screening was performed and led to confirmation of allelochemicals as root exudates: chlorogenic acid, catechin, and polydatin. GC-HRMS further revealed volatile organic compounds such as terpenoids or carbon disulfide, which may contribute to belowground chemical interference. These VOCs were trapped using another sorbent called Sorb-Star® and then thermodesorbed. This study underscores the value of integrated HRMS-based metabolomics for exploring the chemical diversity of R. japonica and provides candidate metabolites (isomers of selinene, carbon disulfide) for future studies in both fundamental and applied ecology and agronomy. Finally, this study presents the first metabolomic fingerprint of R. japonica grown in soil.

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomicsPolygonaceaeChromatography, LiquidPlant RootsTandem Mass SpectrometryGC-HRMSLC-HRMSMetabolomicsMolecular networkReynoutria japonicaRoot exudates

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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.