Fusaric acid-mediated S-glutathionylation of MaAKT1 channel confers the virulence of Foc TR4 to banana
Bibliographic record
Abstract
Our previous studies have demonstrated that the phytotoxin fusaric acid (FSA), secreted by several Fusarium species, acts as a key factor in the development of plant diseases; however, the underlying mechanism remains unknown. In this study, we showed that the symptoms of Fusarium wilt in banana seedlings closely resembled those observed in plants grown under potassium (K+) deficiency conditions. Mechanistically, we found that FSA induces the accumulation of intracellular reactive oxygen species (ROS), which in turn inhibits banana K+ in banana roots. This inhibition occurs via S-glutathionylation of the banana AKT1 (MaAKT1) channel, leading to reduced K+ influx and reduced K+ content in banana roots. Through mutagenesis, electrophysiological studies, immunofluorescence staining, and co-immunoprecipitation experiment, we demonstrated that mutation of Cys202, a highly conserved site in the transmembrane segment 5 of MaAKT1, diminished the biochemical interaction of glutathione (GSH) and the channel induced by FSA, and alleviated Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4) and FSA-induced yellowing symptom. The evolutionarily conserved function of this site for S-glutathionylation was also observed in Arabidopsis AKT1 (AtAKT1) channel, as mutation of its homologue site in AtAKT1 similarly reduced the GSH-AtAKT1 interaction under FSA stress. Collectively, our results suggest that FSA contributes to disease progression by decreasing K+ absorption through S-glutathionylation of MaAKT1 channel at the conserved Cys202 residue. These findings uncover a previously unrecognized role of FSA in regulating K+ homeostasis in bananas, and provide a foundation for future strategies to treat Fusarium wilt and increase banana production by targeting the conserved S-glutathionylation site in MaAKT1 channel.
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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".