Genetic Features of the Spontaneous Self-Compatible Mutant, ‘Jin Zhui’ (Pyrus bretschneideri Rehd.)
Bibliographic record
Abstract
'Jin Zhui' is a spontaneous self-compatible mutant of 'Ya Li' (Pyrus bretschneideri Rehd. S21S34 ), the latter displaying a typical S-RNase-based gametophytic self-incompatibility (GSI). The pollen-part mutation (PPM) of 'Jin Zhui' might be due to a natural mutation in the pollen-S gene (S34 haplotype). However, the molecular mechanisms behind these phenotypic changes are still unclear. In this study, we identified five SLF (S-Locus F-box) genes in 'Ya Li', while no nucleotide differences were found in the SLF genes of 'Jin Zhui'. Further genetic analysis by S-RNase PCR-typing of selfed progeny of 'Jin Zhui' and 'Ya Li' × 'Jin Zhui' progeny showed three progeny classes (S21S21 , S21S34 and S34S34 ) as opposed to the two classes reported previously (S21S34 and S34S34 ), indicating that the pollen gametes of 'Jin Zhui', bearing either the S21 - or S34 -haplotype, were able to overcome self-incompatibility (SI) barriers. Moreover, no evidence of pollen-S duplication was found. These findings support the hypothesis that loss of function of S-locus unlinked PPM expressed in pollen leads to SI breakdown in 'Jin Zhui', rather than natural mutation in the pollen-S gene (S34 haplotype). Furthermore, abnormal meiosis was observed in a number of pollen mother cells (PMCs) in 'Jin Zhui', but not in 'Ya Li'. These and other interesting findings are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".