Somatic chimerism, genetic inheritance, and mapping of the<i>fleshless berry</i>(<i>flb</i>) mutation in grapevine (<i>Vitis vinifera</i>L.)
Bibliographic record
Abstract
The fleshless berry (flb) mutation of grapevine (Vitis vinifera L. 'Ugni Blanc') impairs the differentiation and division of inner mesocarp cells responsible for flesh in grapevine berries. In order to study the inheritance of the mutation and to map the flb locus, 5 segregating populations were created. Progeny plants were classified as mutant or wild type by scoring for the presence of an ovary phenotype associated with the Flb- phenotype at anthesis. Phenotypic segregation revealed the involvement of a single dominant allele that was heterozygous in the original mutant. Through bulk segregant analysis, microsatellite (simple sequence repeat (SSR)) markers linked to the mutation were identified, and the flb locus was assigned to linkage group 18. The locus position was then refined by analyzing individual progeny and the segregation of SSR markers in the target region with the closest marker 5.6 cM distant from the flb locus. All progeny with the Flb- ovary phenotype differed from the original fleshless berry mutant in that no berries formed after anthesis. Our data suggest that the original mutant plant was a chimera with the mutated allele present in only 1 cell layer (L2 layer) of the ovary and berry.
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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 | 0.001 |
| 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".