Harnessing Camalexin as a Sustainable and Ecofriendly Strategy to Control Harmful Phytopathogens
Bibliographic record
Abstract
ABSTRACT Camalexin is a natural phytoalexin found in the Brassicaceae family, which has shown antimicrobial activity against diverse microbial pathogens. Plant pathogens are responsible for economic losses in agricultural productivity, and pesticides are being phased out across Europe, North America and other parts of the world due to environmental and human health concerns. Hence, sustainable strategies are a top priority for the management of pathogens. Different parts of the plant are known to produce natural antimicrobial compounds, such as camalexin, which can be used to control fungal, bacterial, nematode, viral and insect pests in an ecofriendly way. This review compiles data demonstrating the efficacy of camalexin against harmful pathogens and pests. This chemical acts as a fungistatic, fungicidal, bactericidal, insecticidal, nematocidal, antiviral and cytotoxic compound in a concentration‐dependent manner, primarily demonstrated in in vitro conditions. We also highlight investigations on the influence of camalexin on beneficial microbiota, suggesting a need for more research on non‐target microbiota. Future research is essential for elucidating the mechanisms underlying camalexin biosynthesis, toxicity and regulatory pathways, thereby revealing its potential as a sustainable crop protection strategy.
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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 | 0.000 |
| 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) | 0.000 | 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".