Differential Expression of Genes Associated With Degradation Enhancement of Imazethapyr in Barnyardgrass (Echinochloa crus-galli)
Bibliographic record
Abstract
The understanding of mechanism of herbicide resistance in weeds is essential for adequate or innovative weed management practices. The aim of this study was to identify and analyze the expression of genes related to degradation enhancement of imazethapyr in barnyardgrass (Echinochloa crus-galli L. Beauv.). One susceptible (SUSSP01) and two populations previouslly identified as resistant to imazethapyr (ARRGR01 and PALMS01) were used. Gene expression of CYP and GST, the translation initiating factor eIF4B, and ALS genes were evaluated after imazethapyr spraying. A reference gene stability analysis was carried out, wherein the genes 18S and actin showed to be more stable in response to the population and herbicide treatment. The gene expression analysis was performed by qRT-PCR. There was no difference in the relative expression of the ALS gene. The CYP81A6 and GSTF1 genes showed higher relative expression in the resistant populations. The CYP81A6 gene had expression 9.61 and 8.44 higher in the resistant populations ARRGR01 and PALMS01, respectively, in comparison with the untreated susceptible population. The expression of this gene was induced by spraying the herbicide imazethapyr. The GSTF1 gene showed higher relative expression in PALMS01 population, reaching 12.30 times higher in plants treated with imazethapyr in relation to untreated susceptible population. The expression of eIF4B gene in the resistant populations treated with imazethapyr was about six times higher than observed in susceptible population. The high relative expression of CYP81A6 and GSTF1 genes indicate the importance of degradation enhancement for the resistance of barnyargrass to imazethapyr.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".