Cotton gland formation genes <i>GbCGF2/3</i> positively regulate Verticillium wilt resistance through modulating suberin biosynthesis
Bibliographic record
Abstract
Verticillium wilt, caused by Verticillium dahliae, is a serious vascular wilt disease in cotton (Gossypium spp.). However, the roles and mechanisms of cotton gland formation (CGF) genes in regulating cotton V. dahliae resistance remain elusive. Virus-induced gene silencing or CRISPR-/Cas9-mediated knockdown or knockout of GbCGF2/3 decreases cotton resistance to Verticillium wilt. RNA-sequencing (RNA-seq) shows lower transcript levels of the suberin biosynthetic gene fatty acyl-coenzyme A reductase 3.1 (FAR3.1) in GbCGF2/3-silenced cotton plants. Silencing or knocking out GbFAR3.1 impairs cotton resistance to V. dahliae and decreases suberin compositional monomer fatty acids (C16-C24) contents. GbCGF2/3 positively regulates GbFAR3.1 expression by binding to its promoter. Suberin deposition in the lamellae layer of the root cell wall decreases significantly in GbCGF2/3 Cas9-mediated knockout and GbFAR3.1-silenced cotton plants. Additionally, the expression of gossypol biosynthetic genes and defense-related genes PDF1.2 and PR4 in the phytohormone jasmonic acid (JA) pathway is also downregulated in GbCGF2/3-silenced or Cas9-mediated knockout plants. In conclusion, GbCGF2/3 positively regulates Verticillium wilt resistance through promoting suberin biosynthesis, gossypol accumulation and expression of JA signaling defense-related genes, providing a novel insight and strategy for breeding cotton cultivars resistant to Verticillium wilt.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".