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An Unexplored Diversity of Reverse Transcriptases in Bacteria

2015· review· en· W916359970 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicrobiology Spectrum · 2015
Typereview
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGroup II intronBiologyGeneticsGenomeBacterial genome sizeIntronBacteriaReverse transcriptaseComputational biologyEvolutionary biologyGenePolymerase chain reactionRNARNA splicing

Abstract

fetched live from OpenAlex

Reverse transcriptases (RTs) are usually thought of as eukaryotic enzymes, but they are also present in bacteria and likely originated in bacteria and migrated to eukaryotes. Only three types of bacterial retroelements have been substantially characterized: group II introns, diversity-generating retroelements, and retrons. Recent work, however, has identified a myriad of uncharacterized RTs and RT-related sequences in bacterial genomes, which exhibit great sequence diversity and a range of domain structures. Apart from group II introns, none of these putative RTs show evidence of active retromobility. Instead, available information suggests that they are involved in useful processes, sometimes related to phages or phage resistance. This article reviews our knowledge of both characterized and uncharacterized RTs in bacteria. The range of their sequences and genomic contexts promises the discovery of new biochemical reactions and biological phenomena.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.298
Teacher spread0.251 · 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