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Record W2116156881 · doi:10.1261/rna.1056108

Group II introns in Eubacteria and Archaea: ORF-less introns and new varieties

2008· article· en· W2116156881 on OpenAlexafffund
Dawn M. Simon, Nicholas A.C. Clarke, Bonnie A. McNeil, Ian Johnson, Davin Pantuso, Lixin Dai, Dinggeng Chai, Steven Zimmerly

Bibliographic record

VenueRNA · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of British ColumbiaUniversity of Calgary
FundersCanadian Institutes of Health ResearchUniversitetet i OsloFondation pour la Recherche Médicale
KeywordsGroup II intronIntronBiologyGroup I catalytic intronORFSMinor spliceosomeGeneticsGenomeOpen reading frameBacterial genome sizeRibozymePhylogenetic treeGeneRNA splicingRNAPeptide sequence

Abstract

fetched live from OpenAlex

Group II introns are a major class of ribozymes found in bacteria, mitochondria, and plastids. Many introns contain reverse transcriptase open reading frames (ORFs) that confer mobility to the introns and allow them to persist as selfish DNAs. Here, we report an updated compilation of group II introns in Eubacteria and Archaea comprising 234 introns. One new phylogenetic class is identified, as well as several specialized lineages. In addition, we undertake a detailed search for ORF-less group II introns in bacterial genomes in order to find undiscovered introns that either entirely lack an ORF or encode a novel ORF. Unlike organellar group II introns, we find only a handful of ORF-less introns in bacteria, suggesting that if a substantial number exist, they must be divergent from known introns. Together, these results highlight the retroelement character of bacterial group II introns, and suggest that their long-term survival is dependent upon retromobility.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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 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

Citations88
Published2008
Admission routes2
Has abstractyes

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