Roles of alcohol dehydrogenase, lactate dehydrogenase and pyruvate decarboxylase in low‐temperature sweetening in tolerant and susceptible varieties of potato (<i>Solanum tuberosum</i>)
Bibliographic record
Abstract
Low‐temperature sweetening (LTS) results when tubers of potato (Solanum tuberosum) are stored at temperatures below 9–10°C with the accumulation of sucrose and reducing sugars glucose and fructose. Our earlier study showed that the LTS‐tolerant varieties have higher ethanol and lactate tissue levels compared with the LTS‐susceptible variety Monona ( Blenkinsop et al. 2003 ), which led us to investigate the role of the anaerobic respiratory pathway in LTS tolerance. The anaerobic respiratory enzymes alcohol dehydrogenase (ADH), l‐lactate dehydrogenase (LDH) and pyruvate decarboxylase (PDC) were, therefore, investigated in LTS‐tolerant and ‐susceptible potato varieties. A positive correlation (P≤ 0.05) was observed between reducing sugar concentration and the KM of PDC, with the LTS‐tolerant ND 860‐2 possessing a lower KM and reducing sugar content than the LTS‐susceptible Monona variety. The moderately LTS‐tolerant variety, Snowden, exhibited intermediate behavior between the two aforementioned cultivars at 4°C. The isozyme profile of the tolerant varieties differed from the susceptible variety. Two groups of LDH isozyme families were observed in all varieties with the exception of ND 860‐2, where the second group appeared only during low‐temperature exposure. Moreover, the tolerant variety possessed one additional ADH isozyme. Gene expression levels of these enzymes were higher in ND 860‐2 as compared with Monona at 4°C. The above results suggest that the anaerobic respiratory enzymes contribute to LTS‐tolerance.
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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 | 0.001 | 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".