Construction and Characterization of a BAC Library of a Cold‐Tolerant Hexaploid Wheat Cultivar
Bibliographic record
Abstract
A bacterial artificial chromosome (BAC) library was constructed from DNA of a commercially grown winter wheat cultivar (Triticum aestivum L. cv. Norstar) that is highly tolerant to low temperatures (LT50 = −24°C). The library was produced from nuclear leaf DNA that was partially digested with HindIII and inserted into pCC1BAC vector. In excess of 1.2 × 106 clones propagated in E. coli were obtained, archived in 384‐well microtitre plates and stored at −80°C. More than 97.1% of the recombinant plasmids contained inserts and were free from organelle DNA contamination. Analysis of 119 randomly isolated clones revealed insert sizes ranging from 17 to 262 kb with 26% of the inserts exceeding 100 kb. The average insert size was 75 kb and the genome coverage of the library was theoretically 5.5 times the haploid genome equivalent. This corresponds to a 99.6% probability of recovering any specific Norstar DNA sequence from the library. Screening of the library with nine simple sequence repeat (SSR) locus‐specific markers supported a >4.4‐fold genome coverage. The BAC library was gridded onto high‐density filters and will be used for isolation of genetic loci associated with cold‐tolerance and grain quality traits.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".