Expression analysis and physical mapping of low-molecular-weight glutenin loci in hexaploid wheat (<i>Triticum aestivum</i>L.)
Bibliographic record
Abstract
Gliadins and glutenins are storage proteins important in determining the bread-, noodle-, and pasta-making quality of wheat. Glutenins consist of HMW and LMW subunits. The Glu-A3, Glu-B3, and Glu-D3 loci on the short arms of chromosomes 1A, 1B, and 1D, respectively, are the major loci for LMW glutenins. To construct physical maps of the Glu-3 loci, a set of 24 high-density filters representing a 3.1x genome coverage hexaploid wheat BAC library was screened by hybridization using a probe made of 3 LMW glutenin sequences. After 2 rounds of hybridization, a subset of 536 BAC clones were selected and fingerprinted. Three developing seed cDNA libraries were also constructed. A total of 5000-6000 ESTs were generated from each library, assembled into contigs and searched by homology for LMW glutenin sequences. In total, 90 full-length LMW glutenin sequences were found to cluster into 8 distinct groups representing at least 21 different LMW glutenin subunits. A set of 24 pairs of PCR primers was designed from these groups and used as markers on the BAC clones. The combined fingerprinting and marker data were used to build the physical maps using FPC software. A total of 91 contigs comprising 254 clones were obtained and 282 clones remained singletons.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".