A Transcriptional Fusion of Genes Encoding Glyceraldehyde‐3‐Phosphate Dehydrogenase (GAPDH) and Enolase in Dinoflagellates
Bibliographic record
Abstract
Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and enolase are enzymes essential for glycolysis and gluconeogenesis. Dinoflagellates possess several types of both GAPDH and enolase genes. Here, we identify a novel cytosolic GAPDH-enolase fusion protein in several dinoflagellate species. Phylogenetic analyses revealed that the GAPDH moiety of this fusion is weakly related to a cytosolic GAPDH previously reported in dinoflagellates, ciliates, and an apicomplexan. The enolase moiety has phylogenetic affinity with sequences from ciliates and apicomplexans, as expected for dinoflagellate genes. Furthermore, the enolase moiety has two insertions in a highly conserved region of the gene that are shared with ciliate and apicomplexan homologues, as well as with land plants, stramenopiles, haptophytes, and a chlorarachniophyte. Another glycolytic gene fusion in eukaryotes is the mitochondrion-targeted triose-phosphate isomerase (TPI) and GAPDH fusion in stramenopiles (i.e. diatoms and oomycetes). However, unlike the mitochondrial TPI-GAPDH fusion, the GAPDH-enolase fusion protein appears to exist in the same compartment as stand-alone homologues of each protein, and the metabolic reactions they catalyze in glycolysis and gluconeogenesis are not directly sequential. It is possible that the fusion is post-translationally processed to give separate GAPDH and enolase products, or that the fusion protein may function as a single bifunctional polypeptide in glycolysis, gluconeogenesis, or perhaps more likely in some previously unrecognized metabolic capacity.
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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 | 0.001 |
| 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".