Tyramide-FISH mapping of single genes for development of an integrated recombination and cytogenetic map of chromosome 5 of <i>Allium cepa</i>
Bibliographic record
Abstract
Chromosome 5 of onion carries major quantitative trait loci (QTL) that control dry-matter content, pungency and storability of bulbs, amounts and types of epicuticular waxes, and resistances to abiotic factors, all of which are of interest to breeders. SNPs, SSRs, and RFLPs in expressed regions of the onion genome have been genetically mapped, and we used these clones and sequences from the NCBI database to develop DNA probes for in situ hybridization to integrate the genetic and physical maps of onion chromosome 5. We produced genomic amplicons from expressed regions of the onion genome that carried both exons and introns in order to increase the hybridization specificity of the probes and to enlarge the target DNA sizes. Tyramide-FISH technique was used to increase the detection sensitivity of relatively short target DNA regions, which range from 950 to 2100 bp. Through the integration of genetic and chromosomal maps, we were able to estimate the distribution of recombination events along onion chromosome 5. We demonstrated the efficiency of chromosomal in situ mapping of exon-intron genomic clones for the extremely large genome of onion.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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".