Characterization of a gene encoding tRNA nucleotidyltransferase from <i>Candida glabrata</i>
Bibliographic record
Abstract
A gene encoding ATP (CTP):tRNA nucleotidyltransferase (EC2.7.7.25) was isolated from Candida (Torulopsis) glabrata by complementation in Saccharomyces cerevisiae. The predicted amino acid sequence of the protein revealed a large region with high sequence similarity to members of the Class II group of the nucleotidyltransferase superfamily and an N-terminal region characteristic of a mitochondrial targeting sequence. The essential role of the carboxylates within the conserved DXD and RRD motifs was confirmed by mutagenesis. C. glabrata strains bearing truncated CCA1 genes that lacked sequences encoding the putative mitochondrial targeting peptide were unable to grow on non-fermentable carbon sources but were able to grow on a fermentable carbon source. These results suggest that, as in S. cerevisiae, the C. glabrata CCA-adding enzyme is a sorting isozyme that functions in multiple cellular compartments. Mapping of the 5'-ends of primary transcripts of CCA1 revealed multiple transcription start sites located both upstream of and between two in-frame start codons. When the cells were cultured on a non-fermentable carbon source the longer transcripts appeared more abundant, suggesting that the choice of transcription start sites was influenced by carbon source. The shorter transcripts, which lacked sequences encoding the mitochondrial targeting information, were more predominant in cells grown on glucose. These observations suggest that expression of CCA-adding isozymes in C. glabrata may be regulated. The DNA sequence has been assigned GenBank Accession No. AF098803.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".