Environmental PCR survey to determine the distribution of a non‐canonical genetic code in uncultivable oxymonads
Bibliographic record
Abstract
The universal genetic code is conserved throughout most living systems, but a non-canonical code where TAA and TAG encode glutamine has evolved in several eukaryotes, including oxymonad protists. Most oxymonads are uncultivable, so environmental RT-PCR and PCR was used to examine the distribution of this rare character. A total of 253 unique isolates of four protein-coding genes were sampled from the hindgut community of the cockroach, Cryptocercus punctulatus, an environment rich in diversity from two of the five subgroups of oxymonad, saccinobaculids and polymastigids. Four alpha-tubulins were found with non-canonical glutamine codons. Environmental RACE confirmed that these and related genes used only TGA as stop codons, as expected for the non-canonical code, whereas other genes used TAA or TAG as stop codons, as expected for the universal code. We characterized alpha-tubulin from manually isolated Saccinobaculus ambloaxostylus, confirming it uses the universal code and suggesting, by elimination, that the non-canonical code is used by a polymastigid. HSP90 and EF-1alpha phylogenies also showed environmental sequences falling into two distinct groups, and are generally consistent with previous hypotheses that polymastigids and Streblomastix are closely related. Overall, we propose that the non-canonical genetic code arose once in a common ancestor of Streblomastix and a subgroup of polymastigids.
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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 | 0.001 | 0.001 |
| 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".