Molecular detection of high- and low-molecular-weight glutenin subunit genes in common wheat cultivars from 20 countries using allele-specific markers
Why this work is in the frame
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Bibliographic record
Abstract
The composition and quantity of high- and low-molecular-weight glutenin subunits (HMW-GS and LMW-GS) plays an important role in determining the end-use quality of wheat products. In the present study, 718 wheat cultivars and advanced lines from 20 countries were characterised for the HMW-GS and LMW-GS with allele-specific molecular markers. For the Glu-A1 locus, 311 cultivars (43.3%) had the subunit Ax2*, which predominated in cultivars from Canada (83.3%), Romania (91.7%), Russia (72.2%) and USA (72.2%). At Glu-B1 locus, 197 cultivars (27.4%) contained the By8 subunit and its frequency was higher in Japanese (60.0%) and Romanian (62.5%) genotypes than in those from other countries; 264 cultivars (36.8%) carried the By9 subunit, mostly existing in the cultivars from Austria (100.0%), Russia (72.2%), and Serbia (72.7%); the By16 subunit was present in 44 cultivars (6.1%), with a relatively high percentage in Chile (19.5%), whereas almost no cultivars from other countries had this subunit; the frequency of Bx7OE was 3.1%, and was found only in cultivars from Argentina (12.1%), Australia (4.1%), Canada (25.0%), Iran (20.0%), and Japan (30.0%). There were 446 genotypes (62.1%) with the subunit Dx5 at the Glu-D1 locus; high frequencies of Dx5 occurred in cultivars from Hungary (90.0%), Romania (95.8%), and Ukraine (92.3%). At the Glu-A3 locus, the frequencies of Glu-A3a, b, c, d, e, f and g were 2.9, 6.8, 53.2, 12.8, 7.7, 13.8, and 2.4%, respectively. Glu-A3a was detected only in the cultivars from Bulgaria (13.3%), China (12.2%), Germany (2.7%), Iran (6.7%), Mexico (14.3%), Turkey (4.7%), and USA (5.1%); the high frequencies of superior alleles Glu-A3b and d were found in cultivars from Australia (39.7%) and France (24.5%); Glu-A3c was widely distributed in cultivars from all the countries; the high frequencies of Glu-A3e, f and g were detected in cultivars from Argentina (33.3%), Canada (29.2%), and Hungary (20.0%). At the Glu-B3 locus, Glu-B3a, b, c, d, e, f, g, h and i were present in frequencies of 0.4, 22.3, 0.3, 2.8, 1.9, 3.9, 27.2, 18.8, and 7.1%, respectively. Glu-B3a was detected only in cultivars from Argentina (3.0%) and Ukraine (15.4%) cultivars; high frequencies of Glu-B3b and d were found in the cultivars from Romania (62.5%) and Mexico (14.3%); Glu-B3c was detected only in Romanian (8.3%) genotypes; frequencies of e, f, h and i were high in cultivars from Austria (40.0%), China (14.3%), USA (43.0%), and Argentina (33.3%); Glu-B3g was mostly detected in the cultivars from Germany (69.3%), Norway (77.3%), and Serbia (63.6%). The frequency of the 1B·1R translocation was 13.4%; it occurred in cultivars from all the countries except Australia, Austria, Norway, and Serbia. The functional markers applied in this study, in agreement with the results of sodium-dodecylsulfate–polyacrylamide gel electrophoresis, were accurate and stable, and can be used effectively in wheat quality breeding.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it