<i>S16</i>, a novel <i>S-RNase </i>allele in the diploid species <i>Solanum chacoense</i>
Bibliographic record
Abstract
Wild potato species have a gametophytic self-incompatibility system controlled by a single multiallelic S locus. In the style, the S-RNase gene codes for an allele-specific ribonuclease that is involved in the rejection of pollen that carries the same S haplotype. This gene has 5 conserved regions (C1-C5) and highly variable regions outside of these areas that play a role in S-RNase allele specificity. In this work, PCR-mediated amplification of genomic DNA from 2 Solanum chacoense accessions was performed using primers designed on the basis of the C1 and C4 conserved regions. By sequencing the PCR products, a new S-RNase allele (S16) was identified in 1 plant of the QBCM argentinian accession. Comparison of the partial sequence (from C2 to C3) of S16 RNase with those of 11 S-RNase genes of other Solanaceae species showed the highest and the lowest similarity scores within the same plant species (respectively, 71% with the S11 and S13 RNase and 35% with the S2 RNase). Differences at the nucleotide level between S16 and S11 RNase alleles 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".