Bacterial‐ and plant‐type phospho<i>enol</i>pyruvate carboxylase polypeptides interact in the hetero‐oligomeric Class‐2 PEPC complex of developing castor oil seeds
Bibliographic record
Abstract
Two classes of phosphoenolpyruvate carboxylase (PEPC) sharing the same 107-kDa catalytic subunit (p107) were previously purified from developing castor oil seed (COS) endosperm. The association of p107 with an immunologically unrelated 64-kDa polypeptide (p64) causes pronounced physical and kinetic differences between the Class-1 PEPC p107 homotetramer and Class-2 PEPC p107/p64 hetero-octamer. Tryptic peptide sequencing matched p64 to the deduced C-terminal half of several bacterial-type PEPCs (BTPCs) of vascular plants. Immunoblots probed with anti-(COS p64 peptide or p107)-IgG established that: (i) BTPC exists in vivo as an approximately 118-kDa polypeptide (p118) that is rapidly truncated to p64 by an endogenous cysteine endopeptidase during incubation of COS extracts on ice, and (ii) mature and germinated COS contain Class-1 PEPC and p107, but no detectable Class-2 PEPC nor p118. Non-denaturing PAGE, in-gel PEPC activity staining and immunoblotting of developing COS extracts demonstrated that p118 and p107 are subunits of the non-proteolysed approximately 910-kDa Class-2 PEPC complex. As total PEPC activity of clarified COS extracts was unaffected following p118 truncation to p64, the BTPC p118 may function as a regulatory rather than catalytic subunit of the Class-2 PEPC. Moreover, recombinant AtPPC3 and AtPPC4 (Arabidopsis orthologs of COS p107 and p118) expressed as active and inactive PEPCs, respectively. Cloning of cDNAs encoding p118 (RcPpc4) and p107 (RcPpc3) confirmed their respective designation as bacterial- and plant-type PEPCs. Levels of RcPpc3 and RcPpc4 transcripts generally mirrored the respective amounts of p107 and p118. The collective findings provide insights into the molecular features and functional significance of vascular plant BTPCs.
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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 | 0.001 |
| 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".