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Record W2055221420 · doi:10.4161/bact.23146

The moron comes of age

2012· article· en· W2055221420 on OpenAlexaff
Nichole Cumby, Alan R. Davidson, Karen L. Maxwell

Bibliographic record

VenueBacteriophage · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProphageGenomeBiologyBacterial genome sizeHorizontal gene transferGeneGeneticsBacteriophageLysogenic cycleBacteriaEscherichia coli

Abstract

fetched live from OpenAlex

Prophage-encoded genes can provide a variety of benefits for their bacterial hosts. These beneficial genes are often contained within "moron" elements. Morons, thus termed as the insertion of the DNA encoding them adds "more on" the genome in which they are found, are independent transcriptional units disseminated among phage genomes through horizontal gene transfer. Morons have been identified in the majority of phage genomes and they have been found to play diverse roles in bacterial physiology. At present, we are only beginning to ascribe functions to the many proteins encoded within these ubiquitous genetic elements. Recently, we discovered that the first described moron-encoded protein, gp15 of phage HK97, is expressed from the HK97 prophage and functions as a superinfection exclusion protein, protecting its host from genome injection by other phages. This work and the growing body of data pertaining to other morons challenges the traditional view of phages as purely parasites of bacteria and emphasizes the symbiotic relationship between bacteria and prophages.

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)0.003
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0070.010
Open science0.0010.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0330.011

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 head0.009
GPT teacher head0.234
Teacher spread0.224 · 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

Citations70
Published2012
Admission routes1
Has abstractyes

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