Betulinic Acid Delays Turnip Mosaic Virus Infection by Activating the Phytosulfokine Signalling Pathway in <i>Nicotiana benthamiana</i>
Bibliographic record
Abstract
Plant viral diseases pose a significant threat to agricultural production, and the availability of effective drugs against viral diseases remains limited. In this study, we discovered that betulinic acid (BA), a pentacyclic triterpenoid derived from plants, delays infection by turnip mosaic virus (TuMV) in Nicotiana benthamiana. Transcriptomic analysis revealed that BA treatment specifically induced the expression of N. benthamiana phytosulfokine 3 (NbPSK3), a plant pentapeptide hormone with diverse functions, while TuMV infection suppressed its expression. Further study demonstrated that NbPSK3 positively regulates antiviral defence against TuMV infection. Disruption of PSK signalling by targeting the membrane-bound PSK receptors (PSKRs) promoted viral infection. Additionally, exogenous sulphonated PSK (active form) treatment significantly delayed infection by TuMV in N. benthamiana compared to unmodified PSK peptides (dPSK, inactive form) or control treatments, while silencing the receptor NbPSKR1 abolished the ability of PSK to inhibit TuMV infection. Moreover, the inhibition of TuMV infection by BA is dependent on the PSK-PSKR signalling pathway. Overall, these findings not only underscore the potential of BA as a promising and environmentally friendly agent for modulating plant viral diseases but also emphasise the role of the PSK signalling pathway in promoting at least partial resistance to TuMV, which might have interest for crop breeding.
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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".