Molecular analysis of two Chinese pear (<i>Pyrus bretschneideri</i>Rehd.) spontaneous self-compatible mutants, Yan Zhuang and Jin Zhui
Bibliographic record
Abstract
Yan Zhuang and Jin Zhui are spontaneous bud mutants of Chinese pear (Pyrus bretschneideri Rehd.) from Ya Li. Both fruit set rate and seed number after self-pollination, together with pollen tube growth, prove that Yan Zhuang and Jin Zhui are self-compatible. The fruit set rate and seed number after cross-pollination suggest that the self-compatibility of Yan Zhuang and Jin Zhui may be due to natural mutations of the stylar S allele and pollen S allele, respectively. PCR amplification of the S-RNase gene in self-pollinated progeny of Yan Zhuang and Jin Zhui show that they contain point mutations in the stylar S(21) allele and pollen S(34) allele, respectively. The cDNA sequence of the Yan Zhuang stylar S-RNase gene revealed that the 182nd nucleotide of the S(21)-RNase (cDNA) sequence had been substituted resulting in a Gly to Val mutation, and this might affect the stability of the S-RNase. In addition, Western blotting showed that one Yan Zhuang stylar S-RNase was absent and the expression level of another S-RNase protein was decreased compared to Ya Li. Therefore, we suggest that the self-compatibility of Yan Zhuang is caused by a point mutation in an S(21)-RNase nucleotide.
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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".