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Record W2163266115 · doi:10.1261/rna.2126203

ORF-less and reverse-transcriptase-encoding group II introns in archaebacteria, with a pattern of homing into related group II intron ORFs

2003· letter· en· W2163266115 on OpenAlexafffund
Lixin Dai, Steven Zimmerly

Bibliographic record

VenueRNA · 2003
Typeletter
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchFondation pour la Recherche Médicale
KeywordsGroup II intronORFSIntronBiologyGroup I catalytic intronGeneticsExonGenomeRNA splicingMinor spliceosomeOpen reading frameReverse transcriptaseRetrotransposonGeneMature messenger RNARNAPeptide sequenceTransposable element

Abstract

fetched live from OpenAlex

Although group II intron retroelements are prevalent in eubacteria, they have not been identified in archaebacteria in the first 10 genomes sequenced. However, the recently sequenced archael genome of Methanosarcina acetivorans contains 21 group II introns, including 7 introns that do not encode reverse transcriptase ORFs. To our knowledge, these are the first retroelements identified in archaebacteria, and the first ORF-less group II introns in bacteria. Furthermore, the insertion pattern of the introns is highly unusual. The introns appear to insert site-specifically into ORFs of other group II introns, forming nested clusters of up to four introns, but there are no flanking exons that could encode a functional protein after the introns have been spliced out.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.007
GPT teacher head0.196
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations96
Published2003
Admission routes2
Has abstractyes

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