Genetic diversity of seed storage proteins in diploid, tetraploid and hexaploid Avena species
Bibliographic record
Abstract
Genetic diversities of 106 Avena accessions, including diploid, tetraploid and hexaploid species, derived from different countries were characterized based on seed storage proteins polymorphism using SDS-PAGE. A total of 24 protein bands and 72 protein patterns were detected in all 106 accessions. The genetic similarity value varied from 0.50 to 1.00. The seed storage protein patterns were largely independent of environmental fluctuation. Accessions of the same species or with identical genome constitutions had the same or similar protein patterns. Relatively lower within-species variations were observed compared with among-species variations. The AACCDD genome hexaploid species and the AA genome diploid species were more divergent than other species, with percentages of polymorphic bands of 85.7% and 61.1% respectively. In the AA genome diploid species, the AsAs genome diploids displayed higher variations than the modified AA genome diploid species. Clustering results showed a close relationship between the hexaploid species and the AACC genome tetraploid species. The AABB genome tetraploid species were similar to the AsAs genome diploid species, with the exception of the species A. agadiriana with AABB genome constitution, which showed a close relationship with the AcAc genome diploid species A. canariensis and the polyploid species carrying the A and C genomes.
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 | 0.002 | 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) | 0.001 | 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".