Methionyl‐tRNA synthetase from <i>Caenorhabditis elegans</i>: A specific multidomain organization for convergent functional evolution
Bibliographic record
Abstract
Methionyl-tRNA synthetase (MetRS) is a multidomain protein that specifically binds tRNAMet and catalyzes the synthesis of methionyl-tRNAMet. The minimal, core enzyme found in Aquifex aeolicus is made of a catalytic domain, which catalyzes the aminoacylation reaction, and an anticodon-binding domain, which promotes tRNA-protein association. In eukaryotes, additional domains are appended in cis or in trans to the core enzyme and increase the stability of the tRNA-protein complexes. Eventually, as observed for MetRS from Homo sapiens, the C-terminal appended domain causes a slow release of aminoacyl-tRNA and establishes a limiting step in the global aminoacylation reaction. Here, we report that MetRS from the nematode Caenorhabditis elegans displays a new type of structural organization. Its very C-terminal appended domain is related to the oligonucleotide binding-fold-based tRNA-binding domain (tRBD) recovered at the C-terminus of MetRS from plant, but, in the nematode enzyme, this domain is separated from the core enzyme by an insertion domain. Gel retardation and tRNA aminoacylation experiments show that MetRS from nematode is functionally related to human MetRS despite the fact that their appended tRBDs have distinct structural folds, and are not orthologs. Thus, functional convergence of human and nematode MetRS is the result of parallel and convergent evolution that might have been triggered by the selective pressure to invent processivity of tRNA handling in translation in higher eukaryotes.
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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) | 0.000 | 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".