A novel <i>Rf</i> gene controlling fertility restoration of Ogura male sterility by RNA processing of <i>orf138</i> found in Japanese wild radish and its STS markers
Bibliographic record
Abstract
To reveal the molecular and genetic mechanism of fertility restoration in Ogura male sterility in Japanese wild radish (Raphanus sativus var. hortensis f. raphanistroides), we investigated fertility restoration of a plant that lacks the dominant type of orf687, a previously identified fertility restorer gene. A total of 100 F2 plants were made from the cross between a male-sterile strain with the Ogura cytoplasm, 'MS-Gensuke', and a Japanese wild radish plant. Segregation of pollen fertility in the F2 plants led us to assume that 2 dominant complementary genes controlled the fertility restoration of the plants. However, the fertility of 27 of 59 male-fertile plants was not completely restored, resulting in a group of plants with partial male fertility. Northern blot analysis of the CMS-associated gene orf138 indicated that one restorer allele (termed Rft) was involved in the processing of orf138 RNA. Rapid amplification of cDNA ends (RACE) and subsequent Northern blot analysis confirmed that the orf138 transcript lost a 5' part of the coding region of the orf138 gene in the restored plants. The accumulation of ORF138 protein was significantly reduced by Rft, but trace amounts of the protein were recognized in both partially male-fertile and male-sterile plants with Rft. The relationship of pollen fertility and segregation of co-dominant sequence tagged site (STS) markers in the F2 generation suggested that the penetrance of Rft was so low that Rft needs suitable conditions to function sufficiently for the complete restoration of fertility.
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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".