Genome‐wide identification of candidate phosphate starvation responsive genes and the development of intron length polymorphism markers in maize
Bibliographic record
Abstract
Abstract To develop genetic markers associated with tolerance to low phosphorus, we identified candidate phosphate starvation responsive ( PSR ) genes and developed their intron length polymorphism ( ILP ) markers in maize on a genome‐wide scale. Based on the known plant PSR genes, 161 candidate PSR genes were identified. Of these genes, 138 genes contained at least one intron and were then used to develop 606 PSR ‐ ILP markers by designing PCR primers to the intron‐flanking exonic regions. PCR evaluation was performed on 43 randomly selected PSR ‐ ILP markers in 30 maize inbred lines. Of the primers, 88.4% amplified stable and pure products in all maize inbred lines, and 53.5% of the markers showed ILP , with PIC values ranging from 0.06 to 0.80. The result of clustering analysis of the 30 maize inbred lines, based on the polymorphism of 23 ILP markers, suggests that the ILP markers developed in this study are not only efficient for genetic diversity analysis but also potentially useful for marker assisted selection for tolerance to low phosphorus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".