Antioomycete Activity and Mechanism of Territrem B, against <i>Phytophthora capsici</i> in Prevention of <i>Phytophthora</i> Blight
Bibliographic record
Abstract
Phytophthora blight, caused by the oomycete pathogen Phytophthora capsici ( P. capsici ), is one of the most destructive diseases in the production of solanaceous and cucurbitaceous vegetable crops. In this study, a meroterpenoid, territrem B (TEB), exhibited significant antioomycete activity against P. capsici, with an EC 50 value of 22.96 μg/mL. In vitro and in vivo experiments demonstrated that TEB effectively suppressed the occurrence and spread of Phytophthora blight, significantly destroyed the cell membrane permeability and integrity of P. capsici, damaged its morphology and ultrastructure, and enhanced the defensive capacity of pepper plants. Physiological assays revealed that TEB increased the levels of MDA, decreased soluble protein content, inhibited the activities of antioxidant enzymes, and increased accumulation of reactive oxygen species and subsequent lipid peroxidation. A transcriptome assay revealed that TEB may target the amino acid synthesis, lipid metabolism, and cellular energy metabolism. This interference led to increased accumulation of reactive oxygen species and subsequent lipid peroxidation, ultimately inhibiting fungal growth. These results suggested that TEB could effectively combat diseases caused by P. capsici and had the potential for development into a novel oomyceticide for phytophthora blight management.
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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".