Construction of a hexaploid wheat (<i>Triticum aestivum</i>L.) bacterial artificial chromosome library for cloning genes for stripe rust resistance
Bibliographic record
Abstract
A hexaploid wheat (Triticum aestivum L.) bacterial artificial chromosome (BAC) library was constructed for cloning Yr5 and other genes conferring resistance to stripe rust (Puccinia striiformis f. sp. tritici). Intact nuclei from a Yr5 near-isogenic line were used to isolate high molecular weight DNA, which was partially cleaved with HindIII and cloned into pECBAC1 and pIndigoBAC-5 vectors. The wheat BAC library consisted of 422,400 clones arrayed in 1100 micro-titer plates (each plate with 384 wells). Random sampling of 300 BAC clones indicated an average insert size of 140 kb, with a size range from 25 to 365 kb. Ninety percent of the clones in the library had an insert size greater than 100 kb and fewer than 5% of the clones did not contain inserts. Based on an estimated genome size of 15,966 Mb for hexaploid wheat, the BAC library was estimated to have a total coverage of 3.58x wheat genome equivalents, giving approximately 96% probability of identifying a clone representing any given wheat DNA sequence. Twelve BAC clones containing an Yr5 locus-specific marker (Yr5STS7/8) were successfully selected by PCR screening of 3-dimensional BAC pools. The results demonstrated that the T. aestivum BAC library is a valuable genomic resource for positional cloning of Yr5. The library also should be useful in cloning other genes for stripe rust resistance and other traits of interest in hexaploid wheat.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".