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Record W2140193394 · doi:10.1261/rna.5195504

Mitochondrial 3′ tRNA editing in the jakobid <i>Seculamonas ecuadoriensis</i>: A novel mechanism and implications for tRNA processing

2004· article· en· W2140193394 on OpenAlexafffund
Jessica Leigh, B. Franz Lang

Bibliographic record

VenueRNA · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsDalhousie UniversityCanadian Institute for Advanced ResearchUniversité de Montréal
FundersUniversité de MontréalCanadian Institutes of Health ResearchDalhousie UniversityCanadian Institute for Advanced Research
KeywordsBiologyTransfer RNARNA editingGenomeGeneticsMitochondrial DNAMitochondrionRNAGeneNucleotide

Abstract

fetched live from OpenAlex

The jakobid flagellates are bacteriovorus protists with mitochondrial genomes that are the most ancestral identified to date, in that they most resemble the genomes of the alpha-proteobacterial ancestors of the mitochondrion. Because of the bacterial character of jakobid mitochondrial genomes, it was expected that mechanisms for gene expression and RNA structures would be bacterial in nature. However, sequencing of the mitochondrial genome of the jakobid Seculamonas ecuadoriensis revealed several apparent mismatches in the acceptor stems of two predicted tRNAs. To investigate this observation, we determined the cDNA sequences of these tRNAs by RT-PCR. Our results show that the last three positions of the 3' extremity, plus the discriminator position of seryl and glutamyl tRNAs, are altered posttranscriptionally, restoring orthodox base-pairing and replacing the discriminator with an adenosine residue, in an editing process that resembles that of the metazoan Lithobius forficatus. However, the most 5' of the edited nucleotides is occasionally left unedited, indicating that the editing mechanism proceeds initially by exonucleolytic degradation, followed by repair of the degraded region. This 3' tRNA editing mechanism is likely distinct from that of L. forficatus, despite the apparent similarities between the two systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.251
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations39
Published2004
Admission routes2
Has abstractyes

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