Genomic targeting and high-resolution mapping of the domestication gene<i>Q</i>in wheat
Bibliographic record
Abstract
The Q locus is largely responsible for the domestication of bread wheat. Q confers the free-threshing character of the spike and influences other important agronomic traits. Using chromosome deletion lines, Q was placed on the physical map within a submicroscopic segment of the long arm of chromosome 5A. We targeted markers to the segment by comparative mapping of anonymous RFLP clones, AFLP, and mRNA differential display analysis of deletion lines 5AL-7 and -23, which have deletion breakpoints that flank the Q locus. Differentially expressed sequences detected fragments at various loci on group 5 chromosomes suggesting that Q may be a regulatory gene. We identified 18 markers within the Q gene deletion interval and used them to construct a genetic linkage map of the region in F2 populations derived from chromosome 5A disomic substitution lines. The genetic map corresponding to the deletion segment was 20-cM long, and we identified markers as close as 0.7 cM to the Q gene. An estimate of base pairs per centimorgan within the region is 250 kb/cM, an 18-fold increase in recombination compared with the genomic average. Genomic targeting and high-density mapping provide a basis for the map-based cloning of the Q gene.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".