Publication:
Unravelling the phytotoxic effects of glyphosate on sensitive and resistant Amaranthus Palmeri populations by GC-MS and LC-MS metabolic profiling

Date

2023

Director

Publisher

MDPI
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

MINECO//AGL2016-77531-R
MICINN//2020 117723-RB-100

Abstract

Glyphosate, the most successful herbicide in history, specifically inhibits the activity of the enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS; EC 2.5.1.19), one of the key enzymes in the shikimate pathway. Amaranthus palmeri is a driver weed in agriculture today that has evolved glyphosate-resistance through increased EPSPS gene copy number and other mechanisms. Non-targeted GC–MS and LC–MS metabolomic profiling was conducted to examine the innate physiology and the glyphosate-induced perturbations in one sensitive and one resistant (by EPSPS amplification) population of A. palmeri. In the absence of glyphosate treatment, the metabolic profile of both populations was very similar. The comparison between the effects of sublethal and lethal doses on sensitive and resistant populations suggests that lethality of the herbicide is associated with an amino acid pool imbalance and accumulation of the metabolites of the shikimate pathway upstream from EPSPS. Ferulic acid and its derivatives were accumulated in treated plants of both populations, while quercetin and its derivative contents were only lower in the resistant plants treated with glyphosate.

Description

Keywords

EPSPS, Flavonoids, Mode of action, Non-targeted metabolomics, Phenylpropanoids, Primary metabolism, Signalling molecules

Department

Institute for Multidisciplinary Research in Applied Biology - IMAB

Faculty/School

Degree

Doctorate program

item.page.cita

Zulet-Gonzalez, A., Gorzolka, K., Döll, S., Gil-Monreal, M., Royuela, M., Zabalza-Aznárez, A. (2023) Unravelling the phytotoxic effects of glyphosate on sensitive and resistant Amaranthus Palmeri populations by GC-MS and LC-MS metabolic profiling. Plants, 12(6), 1-17. https://doi.org/10.3390/plants12061345.

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