<i>SlPMEI</i>, a pollen-specific gene in tomato
Bibliographic record
Abstract
Kim, W. B., Lim, C. J., Jang, H. A., Yi, S. Y., Oh, S.-K., Lee, H. Y., Kim, H. A., Park, Y.-I. and Kwon, S.-Y. 2014. SlPMEI, a pollen-specific gene in tomato. Can. J. Plant Sci. 94: 73–83. Pectin is one of the main components of plant cell walls, and its biosynthesis is controlled by pectin methylesterase (PME). Pectin methylesterase inhibitors (PMEIs) are key regulators of PME. We report here the cloning and characterization of a novel Solanum lycopersicum L. PMEI gene, SlPMEI. RT-PCR studies of leaf, seed, fruit, flower, and flower organs confirmed that SlPMEI is expressed specifically in pollen. Promoter analysis of SlPMEI revealed pollen-specific cis-acting elements (pollen lat52 and g10). In addition, SlPMEI is expressed independently of abiotic stress, pathogen exposure, and growth stage in tomato, and a histochemical analysis of promoter activity revealed pollen-specific expression in both Arabidopsis and tomato. Under the microscope, we observed pollen-specific GUS expression in the stamen of transgenic tomato plant. These results indicate that the promoter of SlPMEI has strong pollen-specific activity, and could therefore be useful for development of industrially and agronomically important transgenic plants.
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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 | 0.001 |
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".