Apoptotic-like PCD inducing HRC gene when silenced enhances multiple disease resistance in plants
Bibliographic record
Abstract
Abstract Programed cell death (PCD) plays an important role in plant environmental stress and has the potential to be manipulated to enhance disease resistance. Plants have innate immunity and, following pathogen perception, the host induces a Hypersensitive Response PCD (HR-PCD), leading to pattern (PTI) or effector triggered immunity (ETI). Here we report a non-HR type or apoptotic-like PCD (AL-PCD) in pathogen infected wheat and potato. The pathogen induced Ca2+ in the apoplast is transported to the cytosol where it binds to calmodulin (CAM). The Ca2+-CAM binds to histidine-rich-calcium-binding-protein (HRC) increasing Ca2+ concentration in the cytosol. The HRC moves to the nucleus and increases Ca2+ concentration that triggers endonucleases which induce AL-PCD, but not when HRC is silenced. The absence of AL-PCD reduced food for pathogen which results in reduced biomass and mycotoxin accumulation. The reduced gene function inhibition, promotes expression of the R-gene repertoire of the host, leading to enhanced multiple pathogen resistance. The functional HRC in commercial varieties of different crops can be silenced by CRISPR-Cas9 genome editing to enhance resistance to multiple pathogens.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".