Abstract
High Resolution Image Download MS PowerPoint Slide This study evaluated rice samples ( Oryza sativa L.)─rice husk, husk and grain, polished grain, and unpolished grain─exposed to imazapyr, imazapic, and clomazone using high-performance liquid chromatography coupled to high-resolution mass spectrometry (HPLC-HRMS) and chemometric analysis. Partial least squares discriminant analysis (PLS-DA) was applied to HPLC-HRMS data, successfully distinguishing between herbicide-treated and control samples. Additionally, variable importance in projection (VIP) scores were then computed to identify key metabolites contributing to class differentiation, with higher scores indicating the most influential m/z values. These findings revealed metabolites affected by herbicide exposure and variations in the rice matrix. Furthermore, the most relevant m / z values were putatively annotated using spectral libraries, enabling the assessment of herbicide-induced metabolomic changes in rice. Herbicide treatment resulted in reduced free sugar levels across all rice matrices and led to a decrease in flavonoid content in the husk, indicating a potential suppressive effect on flavonoid accumulation. In addition, the herbicide treatment markedly disrupted the phenylpropanoid biosynthesis pathway. Overall, the combination of HPLC-HRMS analysis with multivariate approaches proved effective in detecting significant variations in the rice metabolome cultivated under herbicide application, paving the way for understanding the effects of herbicides in crop cultivation.
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Claims 5
Claim · model-written summary
PLS-DA distinguished herbicide-treated and control rice samples.
Not reportedTaxon
Verbatim
e0“Partial least squares discriminant analysis (PLS-DA) was applied to HPLC-HRMS data, successfully distinguishing between herbicide-treated and control samples”
Claim · model-written summary
Herbicide treatment reduced free sugars across all rice matrices.
- Taxon
- Rice
Oryza sativat0 - Treatment
- Herbicide treatmente0
- Outcome
- free sugar levelse0
- Direction
- reducede0
- Qualifier
- across all rice matricese0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice (Oryza sativa L.)”
e0“Herbicide treatment resulted in reduced free sugar levels across all rice matrices”
Claim · model-written summary
Herbicide treatment decreased husk flavonoid content.
- Taxon
- RiceOryza sativat0
- Organ / stage
- huske0
- Outcome
- flavonoid contente0
- Direction
- decreasee0
Not reportedTreatmentComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice (Oryza sativa L.)”
e0“led to a decrease in flavonoid content in the husk”
Claim · model-written summary
Herbicide treatment disrupted phenylpropanoid biosynthesis.
- Taxon
- RiceOryza sativat0
- Treatment
- herbicide treatmente0
- Outcome
- phenylpropanoid biosynthesis pathwaye0
- Direction
- disruptede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice (Oryza sativa L.)”
e0“the herbicide treatment markedly disrupted the phenylpropanoid biosynthesis pathway”
Claim · model-written summary
HPLC-HRMS with multivariate analysis detected significant rice metabolomic variation under herbicide application.
- Taxon
- RiceOryza sativat0
- Outcome
- detecting significant variations in the rice metabolomee0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice (Oryza sativa L.)”
e0“the combination of HPLC-HRMS analysis with multivariate approaches proved effective in detecting significant variations in the rice metabolome cultivated under herbicide application”
The same questions in other papers
herbicide · molecular: metabolites · Oryza sativa (rice)Positive and negative results
2 papers in the same direction as this paper · 6 in the opposite direction
- positive
- positive
- positive
5 papers more in this group
See all 9 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.