The EF-Tu epitope elf26 of <i>Ralstonia solanacearum</i> can promote resistance to bacterial wilt disease in <i>Nicotiana</i> species
Bibliographic record
Abstract
Elongation factor Tu (EF-Tu) from bacterial plant pathogens acts as a pathogen-associated molecular pattern (PAMP), which elicits the first line of defence of innate immunity. Ralstonia solanacearum is the causal agent of bacterial wilt in many Solanaceous plants, including Nicotiana tabacum and N. benthamiana. Here, we report that R. solanacearum EF-Tu can promote the resistance of Nicotiana plants to wilt disease. A synthetic elf26 epitope of R. solanacearum EF-Tu induced a clear accumulation of callose and hydrogen peroxide in Arabidopsis thaliana. It was very striking that elf26 induced the expression of PTI marker genes as well as a low dose of callose and hydrogen peroxide accumulation in N. tabacum as EF-Tu triggering innate immunity was previously considered to be Brassicaceae specific. Although innate immunity was not found in N. benthamiana, the defence-related PR1a gene was induced. Thus, elf26 treatments enhanced the resistance of N. tabacum and N. benthamiana plants to R. solanacearum. Together, our findings demonstrated that the R. solanacearum elf26 epitope functions as a PAMP and can promote resistance to bacterial wilt disease in Nicotiana spp.
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) | 0.001 | 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".