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Record W4381052578 · doi:10.1038/s41598-023-36938-z

Complete genomes and comparative analyses of Streptomyces phages that influence secondary metabolism and sporulation

2023· article· en· W4381052578 on OpenAlexafffund
Sarah Kronheim, Ethan B. Solomon, Louis Ho, Michelle S Glossop, Alan R. Davidson, Karen L. Maxwell

Bibliographic record

VenueScientific Reports · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsStreptomycesBiologySecondary metaboliteGenomeSecondary metabolismBacteriaStreptomycetaceaeGeneticsActinomycetalesMicrobiologyGeneBiosynthesis

Abstract

fetched live from OpenAlex

Bacteria in the genus Streptomyces are found ubiquitously in nature and are known for the number and diversity of specialized metabolites they produce, as well as their complex developmental lifecycle. Studies of the viruses that prey on Streptomyces, known as phages, have aided the development of tools for genetic manipulation of these bacteria, as well as contributing to a deeper understanding of Streptomyces and their behaviours in the environment. Here, we present the genomic and biological characterization of twelve Streptomyces phages. Genome analyses reveal that these phages are closely related genetically, while experimental approaches show that they have broad overlapping host ranges, infect early in the Streptomyces lifecycle, and induce secondary metabolite production and sporulation in some Streptomyces species. This work expands the group of characterized Streptomyces phages and improves our understanding of Streptomyces phage-host dynamics.

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)0.000
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.056
GPT teacher head0.316
Teacher spread0.259 · 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

Citations15
Published2023
Admission routes2
Has abstractyes

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