Raffinose and Stachyose Accumulation, Galactinol Synthase Expression, and Winter Injury of Contrasting Alfalfa Germplasms
Bibliographic record
Abstract
Large differences in winter hardiness exist among alfalfa (Medicago sativa L.) cultivars, but the physiological and molecular bases for these differences are not understood. Our objective was to determine how raffinose family oligosaccharide (RFO) accumulation and steady state mRNA levels for galactinol synthase (GaS) in roots relate to genetic variation in alfalfa winter survival. A GaS cDNA was isolated that possesses over 70% identity with GaS clones from other plant species. Induction of GaS transcripts in crowns of winter hardy alfalfa cultivars occurred within 8 h of exposure to 2°C, and was intensified by exposing plants to −2°C for 2 wk. Galactinol synthase transcripts increased in November in crown and root tissues of winter hardy alfalfa plants. This increase was accompanied by large increases in root RFO concentrations between October and December. A close positive association between RFO accumulation in roots in December and genetic differences in winter survival was observed in these alfalfa populations. Although roots and crowns of nondormant alfalfa cultivars accumulated both GaS transcripts and RFO, accumulation was delayed until December and these cultivars did not survive winter. Understanding the mechanisms regulating GaS gene expression and subsequent RFO accumulation in roots and crowns provides opportunity to genetically improve alfalfa winter hardiness.
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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) | 0.000 | 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 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".