Common bean (<scp><i>Phaseolus vulgaris</i></scp> L.) with increased cysteine and methionine concentration
Bibliographic record
Abstract
Abstract In common bean (Phaseolus vulgaris L.), seed storage protein deficiency is associated with increased total cysteine and methionine concentration. The goal of this study was to generate germplasm lines that combine this characteristic with adaptation to short season conditions in Manitoba, Canada. A recombinant inbred line population was developed by crossing the storage protein deficient genotype, SMARC1N‐PN1 with the cultivar Morden003. Two lines, 2‐37 and 3‐84, with a stable protein profile over 2 years at two locations were identified. Like SMARC1N‐PN1, both lines had a significantly higher cysteine concentration than Morden003, by approximately 35%. Methionine levels were elevated by approximately 15%, while tryptophan levels were also increased by approximately 30%. Line 2‐37 had a significant increase in protein quality, as measured by in vitro protein digestibility corrected amino acid score, by approximately 40%, as compared with Morden003. The increased protein quality for this line is attributable to higher levels of total cysteine and methionine, while having an overall reduction in crude protein concentration. Line 2‐37 had a similar seed yield as SMARC1N‐PN1, with a maturity comparable to Morden003. The results of high‐density single nucleotide polymorphism (SNP) genotyping and quantitative trait locus analysis of recombinant inbred lines indicated that variation in cysteine concentration was determined by the phaseolin locus, while variation in methionine concentration was determined by both the phaseolin and lectin loci. SNP markers that track the introgression of phaseolin and lectin deficiency into the Morden003 background were identified and validated.
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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".