Identification of repetitive, genome-specific probes in crucifer oilseed species
Bibliographic record
Abstract
Direct amplification of minisatellite DNA by PCR (DAMD PCR) was used to amplify and subsequently clone several fragments of DNA from crucifer species. The PCR-derived fragments of DNA were generated using known minisatellite core sequences as PCR primers. Southern hybridization of these putative minisatellite DNA fragments revealed that many were genome-specific; they hybridized with high affinity only to the genomic DNA of the species from which they were cloned. The DNA fragments were believed to be dispersed in the genome, based on smear-like hybridization signals on EcoRI-, BamHI-, and HindIII-digested genomic DNA. Genome-specific probes were specifically isolated from Brassica rapa (A genome), Brassica nigra (B genome), and Sinapis alba in addition to several other crucifer species. The sequence of a B. rapa specific probe (pBr17.1.3A) contained a minisatellite region that could be divided into three tandem repeats; each repeat contained between two and five subrepeats and each subrepeat shared a highly conserved core region of 29 bp. This minisatellite sequence also hybridized with high affinity to the A genome species B. napus and B. juncea. This research showed that dispersed, genome-specific probes can be isolated using DAMD PCR and that these probes could be used to detect and quantify alien DNA present in progeny from intergeneric or interspecific crosses.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".