The Colonization Process of Sunflower by a Green Fluorescent Protein-Tagged Isolate of <i>Verticillium dahliae</i> and its Seed Transmission
Bibliographic record
Abstract
Sunflower Verticillium wilt is a widespread and destructive disease caused by the soilborne pathogen Verticillium dahliae. To better understand the process of infection and seed transmission of the fungus, sunflower roots were inoculated with a V. dahliae strain (VdBM9-6) labeled with green fluorescent protein (GFP) and monitored microscopically. After 24 to 96 h postinoculation (hpi), conidia germinated and developed into mycelium on root hairs, elongation zones, and caps of lateral roots. Mycelium colonized vascular bundles of lateral roots and taproots at 7 days postinoculation (dpi). At 10 weeks postinoculation (wpi), the epidermal cells, cortical tissues, and vascular elements of stem, petiole, and leaf veins were colonized by mycelium. By 12 wpi, strong GFP signals were detected not only on different tissues of inflorescence but also on testa of seed and a small fraction of pollen grains. A GFP signal was not observed on cotyledon tissues in the seed. Additionally, the colonization of V. dahliae on testa was also confirmed with MNP-10 selection medium, indicating that the testa of seed is the main carrier for the long distance transmission of sunflower yellow wilt.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".