EST mining for structure and expression of genes in the region of the wheat high-molecular-weight glutenin loci
Bibliographic record
Abstract
An in-depth analysis was carried out with expressed sequence tags (ESTs) for genes in and near the HMW-GS loci. Considerations for using ESTs are discussed, including the occurrence of chimeric and aberrant HMW-GS ESTs. Complete gene sequences demonstrated the feasibility of constructing accurate full-length coding regions from EST assemblies and found, or supported, errors in several previously reported HMW-GS gene sequences. New complete HMW-GS gene sequences are reported for the cultivars Chinese Spring and Glenlea. The Ay subunit gene, which is considered null in cultivated wheats, was shown to transcribe in at least two germplasms. Analyses support the conclusion that of the five known genes within this genomic region, the two HMW-GS genes and the globulin gene are highly expressed. The other two genes, encoding a receptor kinase and a protein kinase, have one and no identifiable wheat EST, respectively, although ESTs are found for the orthologous genes in barley. The ESTs of all five genes within the HMW-GS region are either definitely associated with the endosperm or possibly originate from imbibed seed, suggesting the four distinct gene classes in this region are part of a seed or endosperm chromatin domain. EST resources were also used to determine relative abundance of ESTs for all classes of wheat prolamines and indicated differential levels of expression both among germplasms and among the three genomes of hexaploid wheats.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".