Two Unrelated Phosphoenolpyruvate Carboxylase Polypeptides Physically Interact in the High Molecular Mass Isoforms of This Enzyme in the Unicellular Green Alga Selenastrum minutum
Bibliographic record
Abstract
In the chlorophyte Selenastrum minutum, phosphoenolpyruvate carboxylase (PEPC) exists as two kinetically distinct classes of isoforms sharing the same 102-kDa catalytic subunit (p102). Class 1 PEPC is homotetrameric, whereas Class 2 PEPCs consist of three large protein complexes. The different Class 2 PEPCs contain p102 and 130-, 73-, and 65-kDa polypeptides in different stoichiometric combinations. Immunoblot, immunoprecipitation, and chemical cross-linking studies indicated that p102 physically interacts with the 130-kDa polypeptide (p130) in Class 2 PEPCs. Immunological data and mass spectrometric and sequence analyses revealed that p102 and p130 are not closely related even if a p130 tryptic peptide had significant similarity to a conserved PEPC C-terminal domain from several sources. Evidence supporting the hypothesis that p130 has PEPC activity includes the following. (i) Specific activity expressed relative to the amount of p102 was lower in Class 1 than in Class 2 PEPCs; (ii) reductive pyridoxylation of both p102 and p130 was inhibited by magnesium-phosphoenolpyruvate; and (iii) biphasic phosphoenolpyruvate binding kinetics were observed with Class 2 PEPCs. These data support the view that unicellular green algae uniquely express, regulate, and assemble divergent PEPC polypeptides. This probably serves an adaptive purpose by poising these organisms for survival in different environments varying in nutrient content.
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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".