REDUCE, REUSE, RECYCLE: EVALUATING THE CONTRIBUTION OF EUTREMA SALSUGINEUM BYPASSES FOR GLYCOLYTIC SUBSTRATE LEVEL PHOSPHORYLATION IN RESPONSE TO LOW PHOSPHATE CONDITIONS
Bibliographic record
Abstract
Drought reduces the availability of dissolved nutrients for plant uptake. For the essential macronutrient phosphate (Pi), drought exacerbates its already low soil availability for plant uptake. Understanding the mechanisms allowing plants to thrive under semi-arid, low-Pi conditions enables us to develop climate change resilient crops less reliant on added Pi fertilizers. Eutrema salsugineum is an extremophile plant and the Yukon ecotype thrives on low-Pi soil. Yukon plants can bypass glycolytic glyceraldehyde 3-phosphate dehydrogenase (GAPDH) using NADH and Pi to phosphorylate ADP by employing a non-phosphorylating (NP) GAPDH. By avoiding phosphorylation, NP-GAPDH can preserve Pi for alternative use in a deficient plant. The Shandong ecotype is less tolerant of low Pi, so their capacity to use the bypass was also evaluated. GAPDH and NP-GAPDH activity was measured in leaf and root cell-free extracts of plants grown with (+Pi) or without Pi (-Pi). For both ecotypes, up to 10-fold higher activity rates were found in leaf extracts relative to root extracts. In -Pi plants, leaf GAPDH activity was approximately three-fold and two-fold greater relative to +Pi plants for Yukon and Shandong respectively. Leaf NP-GAPDH activity was slightly greater in +Pi relative to -Pi in Yukon plants, while rates were comparable for -Pi and +Pi Shandong plants. Furthermore, NP-GAPDH activity in Yukon and Shandong plants were similar, suggesting that the bypass does not play an essential role for tolerance to low-Pi conditions and raises a question about the true metabolic role of this enzyme in plants.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".