Dual targeting of aminoacyl-tRNA synthetases to the mitochondrion and complex plastid in chlorarachniophytes
Bibliographic record
Abstract
In plants, many nucleus-encoded proteins are targeted to both mitochondria and plastids, and this process is generally mediated by ambiguous N-terminal targeting sequences that are recognized by receptors on both organelles. In many algae, however, plastids were acquired by secondarily engulfing green or red algae, which were retained within the endomembrane system. Protein targeting to these secondary plastids is more complex, and because they do not reside directly in the cytoplasm, dual targeting cannot function as it does in plant cells. Here we investigate dual targeting of aminoacyl-tRNA synthetases (aaRSs) in chlorarachniophytes, which are complex algae that possess secondary plastids and a relict nucleus derived from a green algal endosymbiont. Chlorarachniophytes have four genome-containing compartments, but almost all the aaRSs are nucleus-encoded and present in fewer than four copies (some as few as two), suggesting multiple targeting. We characterized the subcellular localization of two classes, HisRS (three copies) and GlyRS (two copies), using GFP fusion proteins. In both cases, one copy was dually targeted to mitochondria and plastids, but unlike plants this was mediated by translation initiation variants. We also found that the periplastidal compartment (the relict green algal cytoplasm) lacks both GlyRS and a cognate tRNA, suggesting that pre-charged host tRNAs are imported into this compartment. Leader analysis of other aaRSs suggests that alternative translation is a common strategy for dual targeting in these complex cells. Overall, dual targeting to mitochondria and plastids is a shared feature of plastid-bearing organisms, but the increased complexity of trafficking into secondary plastids requires a different strategy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".