Partial purification and characterization of pyruvate kinase from the plant fraction of soybean root nodules
Bibliographic record
Abstract
Pyruvate kinase (PK, EC 2.7.1.40) was partially purified from the plant cytosolic fraction of N2-fixing soybean (Glycine max [L.] Merr.) root nodules. The partially purified PK preparation was completely free of contamination by phosphoenolpyruvate carboxylase (PEPC, EC 4.1.1.31), the other major phosphoenolpyruvate (PEP)-utilizing enzyme in legume root nodules. Latency experiments with sonicated nodule extracts showed that Bradyrhizobium japonicum bacteroids do not express either PK or PEPC activity in symbiosis. In contrast, free-living B. japonicum bacteria expressed PK activity, but not PEPC activity. Antibodies specific for the cytosolic isoform of PK from castor bean endosperm cross-reacted with a 52-kDa polypeptide in the partially purified PK preparation. At the optimal assay pH (pH 8.0 for PEPC and pH 6.9 for PK) and in the absence of malate, PEPC activity in crude nodule extracts was 2.6 times the corresponding PK activity. This would tend to favour PEP metabolism by PEPC over PEP metabolism by PK. However, at pH 7.0 in the presence of 5 mM malate, PEPC activity was strongly inhibited, but PK activity was unaffected. Thus, we propose that PK and PEPC activity in legume root nodules may be coordinately regulated by fluctuations in malate concentration in the plant cytosolic fraction of the bacteroid-containing cells. Reduced uptake of malate by the bacteroids, as a result of reduced rates of N2 fixation, may favour PEP metabolism by PK over PEP metabolism by PEPC.
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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) | 0.001 | 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 | 0.001 |
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".