Deep Sequencing of the Pistil Transcriptome in the Cross Incompatible Maize
Bibliographic record
Abstract
Plant reproductive development is dependent on successful pollen-pistil interactions. The high degree of specificity in pollen-pistil interactions and the precision of directional pollen tube growth suggest that signals are continually being exchanged between pollen tubes and cells of the pistil that line their path. However, with few exceptions, little is known about the genes that control these interactions. In this investigation, we performed genome-wide transcriptional profiling of pistil tissues of Gametophytic factor1-Strong (Ga1-S) genotype maize after pollination 5 hours(5HAP)with Ga1-S pollen and ga1 pollen respectively , in an attempt to isolate genes involved in pollen tube elongation in maize pistils, using the Solexa deep sequencing technology. The results of this study suggest that the regulation of reinforcing, modifying, or remodeling the structure of the transmitting tract and the pollen tube tip play a critical role in pollen-pistil interactions during pollen tube elongation in maize pistils, and the inhibition of these functions maybe the molecular mechanism of how Gametophytic factor1-Strong (Ga1-S) presence in style tissue completely prevents ga1 pollen to accomplish fertilization.
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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 | 0.000 |
| 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".