Deciphering metabolic resistance to multiple herbicides in Amaranthus palmeri via transcriptome analysis

BACKGROUND: Multiple herbicide resistance in Palmer amaranth (Amaranthus palmeri S. Watson) poses a serious threat to US crop production. A Palmer amaranth population (KCTR) from Kansas was found resistant to herbicides across six sites-of-action, including ALS-, PS II-, EPSPS-, PPO-, HPPD-inhibitors and synthetic auxins. Previous physiological and metabolic studies suggested that resistance in this population is predominantly associated with enhanced herbicide metabolism, possibly mediated by cytochrome P450 (P450) and/or glutathione S-transferase (GST) enzyme activity. The aim of this study was to identify candidate genes potentially associated with multiple herbicide resistance in KCTR Palmer amaranth population. RESULTS: Differential gene expression analysis revealed 414, 129, 529, 152 and 688 genes differentially expressed in resistant plants as compared to susceptible, following chlorsulfuron, 2,4-D, atrazine, mesotrione and lactofen treatments, respectively. CYP72A219 paralogs, CYP704B1-like and GST-ct genes were constitutively up-regulated in resistant plants as compared to susceptible. Validated by qRT-PCR, CYP72A219 and CYP704B1-like were 3.4- to 6.6-fold and 5.9- to 12.4-fold up-regulated in resistant plants as compared to susceptible without any treatment. CONCLUSIONS: Identifying genes associated with multiple herbicide metabolism is critical for understanding cross-resistance and evaluating new herbicides for resistance risk. These candidate resistance-associated genes serve as targets for functional validation studies in future to help develop molecular markers for screening broad-spectrum herbicide resistance. © 2026 Society of Chemical Industry.

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Publication Details

Journal
Pest Management Science
Published
2026-09-29
DOI
https://doi.org/10.1002/ps.71345
Primary Topic
Weed Control and Herbicide Applications
Type
article
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article

Deciphering metabolic resistance to multiple herbicides in Amaranthus palmeri via transcriptome analysis

Yaiphabi Kumam, Sarah R. Lancaster, Mithila Jugulam, Rishabh Singh et al.
Pest Management Science
Weed Control and Herbicide Applications
article

Deciphering metabolic resistance to multiple herbicides in Amaranthus palmeri via transcriptome analysis

Yaiphabi Kumam, Sarah R. Lancaster, Mithila Jugulam, Rishabh Singh, Mohit Mahey, Eric L. Patterson, Sanzhen Liu
article en

Abstract

BACKGROUND: Multiple herbicide resistance in Palmer amaranth (Amaranthus palmeri S. Watson) poses a serious threat to US crop production. A Palmer amaranth population (KCTR) from Kansas was found resistant to herbicides across six sites-of-action, including ALS-, PS II-, EPSPS-, PPO-, HPPD-inhibitors and synthetic auxins. Previous physiological and metabolic studies suggested that resistance in this population is predominantly associated with enhanced herbicide metabolism, possibly mediated by cytochrome P450 (P450) and/or glutathione S-transferase (GST) enzyme activity. The aim of this study was to identify candidate genes potentially associated with multiple herbicide resistance in KCTR Palmer amaranth population. RESULTS: Differential gene expression analysis revealed 414, 129, 529, 152 and 688 genes differentially expressed in resistant plants as compared to susceptible, following chlorsulfuron, 2,4-D, atrazine, mesotrione and lactofen treatments, respectively. CYP72A219 paralogs, CYP704B1-like and GST-ct genes were constitutively up-regulated in resistant plants as compared to susceptible. Validated by qRT-PCR, CYP72A219 and CYP704B1-like were 3.4- to 6.6-fold and 5.9- to 12.4-fold up-regulated in resistant plants as compared to susceptible without any treatment. CONCLUSIONS: Identifying genes associated with multiple herbicide metabolism is critical for understanding cross-resistance and evaluating new herbicides for resistance risk. These candidate resistance-associated genes serve as targets for functional validation studies in future to help develop molecular markers for screening broad-spectrum herbicide resistance. © 2026 Society of Chemical Industry.

Pest Management Science
Kansas State University (US), University of Florida (US), Michigan State University (US), Texas A&M University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Weed Control and Herbicide Applications
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