The role of ethylene during the infection of Nicotiana tabacum by Colletotrichum destructivum
Bibliographic record
Abstract
Two periods of increased ethylene production were observed after inoculation of Nicotiana tabacum by Colletotrichum destructivum. This pathogen exhibits an intracellular hemibiotrophic infection process, with a biotrophic phase followed by a necrotrophic phase. Ethylene production first increased during the biotrophic phase with a peak at 24 h before the necrotrophic phase. A second increase in ethylene occurred late in the necrotrophic phase when the lesions were expanding. Two different 1-aminocyclopropane-1-carboxylic acid synthase genes showed increased expression after the first ethylene peak with a maximum at 24 h before the second ethylene increase. Expression of an 1-aminocyclopropane-1-carboxylic acid oxidase (ACO) gene increased during the first ethylene peak and then declined at the beginning of the second ethylene increase. A second ACO gene showed relatively little change in expression during infection with slightly higher expression at 24 h before the second ethylene increase, and a third ACO gene showed a progressive decline in expression with a major decrease occurring before the second ethylene increase. Inoculation of ethylene-insensitive tobacco with C. destructivum revealed that it was more susceptible than the wild type. The changes in ethylene production and associated gene expression as well as the increased disease susceptibility of ethylene-insensitive tobacco indicate that ethylene plays a role in this interaction, perhaps as a signalling molecule to trigger defense mechanisms.
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".