Physical localization of single-copy sequences on pachytene chromosomes in maize (<i>Zea mays</i>L.) by chromosome in situ suppression hybridization
Bibliographic record
Abstract
A new approach for locating single-copy DNA sequences on pachytene chromosomes of maize (Zea mays L.) was developed. A cosmid clone with homologous sequences to a molecular marker (umc105a) linked to a quantitative trait locus (QTL) for resistance against sugarcane borer (SCB) was physically mapped by fluorescence in situ hybridization (FISH) to the short arm of chromosome 9. The marker umc105a was genetically placed in the centromeric region. To suppress signals generated by maize repetitive DNA, competitive in situ suppression (CISS) hybridization was necessary to obtain specific signals from umc105a. A centromere specific DNA probe (CentC) was used in a double-labeling technique as a reference marker. Fluorescence signals generated by umc105a cosmid and CentC were specific and highly reproducible. Thus the single-copy DNA sequence of umc105a was physically localized on the short arm of chromosome 9 near the telomere. This is the first report of physical localization of single-copy DNA sequence by CISS hybridization to a maize pachytene chromosome.
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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 | 0.001 |
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".