Determining the effect of calcium on cell death rate and perforation formation during leaf development in the novel model system, the lace plant (<i>Aponogeton madagascariensis</i>)
Bibliographic record
Abstract
Summary Programmed cell death (PCD) is the destruction of unwanted cells through an intracellularly mediated process. Perforation formation in the lace plant (Aponogeton madagascariensis) provides an excellent model for studying developmentally regulated PCD. Ca2+ fluxes have previously been identified as important signals for PCD in plants and mammals. The fundamental goal of this project was to determine the influence of Ca2+ on the rate of cell death and perforation formation during leaf development in the lace plant. This was investigated using the application of various known calcium modulators including lanthanum III chloride (LaCl3), ruthenium red and calcium ionophore A23187. Detached lace plant leaves at an early stage of development were treated with these modulators in both short‐ and long‐term exposure assays and analysed using live cell imaging. Results from this study indicate that calcium plays a vital role in developmentally regulated PCD in the lace plant as application of the modulators significantly altered the rate of cell death and perforation formation during leaf development. In conclusion, this study exemplifies the suitability of the lace plant for live cell imaging and detached leaf experiments to study cell death and provides insight into the importance of Ca2+ in developmentally regulated PCD in planta.
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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) | 0.000 | 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) | 0.001 | 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".