Skip to content
#protein folding Open access

Non-target-site resistance mechanisms to glyphosate in Eleusine indica from Xinjiang cotton fields

Sep 2026 · Frontiers in Plant Science · 0 citations · 53 references

Abstract

Glyphosate resistance in weeds is often mediated by target-site changes in 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS), but non-target-site resistance (NTSR) mechanisms are increasingly recognized as important contributors to field-evolved resistance. Here, we characterized a glyphosate-resistant Eleusine indica population collected from cotton fields in Xinjiang, China. Whole-plant dose–response analysis showed that the resistant population GR-R had a 3.36-fold higher GR 50 than the susceptible population GR-S. GR-R also accumulated substantially less shikimic acid after glyphosate treatment (approximately two-fold lower than GR-S at 24 and 48 hours after treatment), indicating reduced impact on the shikimate pathway. However, sequencing of a conserved EPSPS region revealed no substitutions at known resistance-associated residues, and EPSPS expression did not differ significantly between GR-R and GR-S. RNA-seq analysis identified 364 differentially expressed genes, with enrichment of oxidative stress, carbohydrate metabolism, amino acid metabolism, hormone signaling, and transporter-related processes. Four upregulated genes associated with herbicide metabolic resistance, CYP94C1 , ABCA7 , ABCG37 , and ABCG39 , were validated by qPCR. Structural modeling and molecular docking suggested potential interactions between glyphosate and the encoded proteins, with ABCG39 showing the strongest predicted binding among the ABC transporters. These results suggest that glyphosate resistance in GR-R is not driven by common EPSPS -based mechanisms but is associated with NTSR involving cytochrome P450 and ABC transporter candidates. Our findings provide a foundation for functional studies of P450- and transporter-mediated glyphosate resistance in E. indica .

Read PDF

Similar papers

Open access Sep 2026

Distribution of target-site resistance mechanisms to nicosulfuron and glyphosate in Amaranthus palmeri accessions from two different regions of Türkiye

Palmer amaranth (Amaranthus palmeri S. Watson) is a highly competitive weed that has evolved resistance to several modes of action and has recently become a significant problem in Türkiye. This study was designed to determine the distribution of common target-site resistance (TSR) mechanisms to the acetolactate synthas...

Filiz Erbaş, S. Álvarez-Rodríguez, Michael Ozolins et al. · 0 citations
Open access Aug 2026

Naturally occurring target-site EPSPS mutations and moderate EPSPS over-expression confer glyphosate resistance in Lolium perenne ssp. multiflorum biotypes from Argentina.

BACKGROUND Glyphosate resistance in Lolium perenne ssp. multiflorum (Italian ryegrass), a major weed in temperate cropping systems, threatens effective weed control and crop productivity. This study characterized the glyphosate response and target-site glyphosate resistance mechanisms in three biotypes (PA, MG and HE)...

Esteban Muñiz Padilla, Noelia Ulrich, M. Vila-Aiub et al. · 0 citations
Open access Aug 2026

Glutathione S-transferase genes PfGSTU6 and PfGSTL1 involved in mesosulfuron-methyl resistance in Polypogon fugax.

The cross-resistance profile of the resistant P. fugax population is characterized, which provides guidance for developing targeted field weed resistance management strategies and provides genetic resources for resistance monitoring and crop breeding.

Long-Hao Zou, Liu-Jun Song, P. Yin et al. · 0 citations
Sep 2026

Host detoxification and gut microbiota are associated with chlorantraniliprole resistance in Spodoptera frugiperda.

Spodoptera frugiperda is a major agricultural pest that causes severe damage in China. Chlorantraniliprole (CAP) is the primary insecticide used for control; however, it is yet unknown how much the intrinsic detoxification system and gut microbiota of the host contribute to resistance. In this study, we used a resistan...

Ya-Ping Chen, Yahong Li, Yao Chen et al. · 1 citation

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.