Identification of potential detoxification enzyme genes in <i>Leptinotarsa decemlineata</i> (Say) and study of their expression in insects reared on different plants
Bibliographic record
Abstract
Insects have evolved remarkable abilities to metabolize plant allelochemicals colonizing host plants otherwise toxic to them. These abilities largely rely on detoxification enzymes such as cytochromes P450 (P450), glutathione S-transferases (GST) and esterases. To identify the potential detoxification enzyme genes in Leptinotarsa decemlineata (Say), 44 expressed sequence tags (ESTs) including the ESTs of 38 P450, three GSTs and three esterases were generated using a degenerate rapid amplification of cDNA ends (RACE). The putative P450s were placed into 10 subfamilies representing five families. The gene expression was studied using a low-density reverse Northern array. The results showed that CYP4BN13v1 was up-regulated after the beetles transferred from potato to tomato, pepper or eggplant. The expression of CYP4Q11 was up-regulated in the beetles transferred to eggplants. In contrast, the expression of CYP9Z14v1 and CYP4BN13v1 was down-regulated after the beetles transferred to eggplant or flowering tobacco, respectively. This indicates that only a few P450 genes from the insect were induced or suppressed by different rearing plants. Although the function of these P450 enzymes in the metabolism of allelochemicals was not determined here, the result implies that the insect may use different oxidative metabolic pathways when they feed on different host plants. Key words: Cytochrome P450, glutathione S-transferase, esterase, gene expression, host plant
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".