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Temperature as a Driver of Phage Ecology and Evolution

2025· article· en· W4415486598 on OpenAlexaff
Samuel T. E. Greenrod, Tobias E. Hector, Michael Blazanin, Daniel Cazares, Kayla C. King

Bibliographic record

VenueAnnual Review of Microbiology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBacteriophageEvolutionary ecologyMicrobial ecologyExperimental evolutionVariation (astronomy)Biological evolutionEvolutionary dynamicsClimate changeBacterial virus

Abstract

fetched live from OpenAlex

Bacteriophages (phages) are virtually ubiquitous and play a fundamental role in the ecological and evolutionary dynamics of their bacterial hosts. While phages are found across many thermal environments, they can be highly sensitive to changes in temperature. Moreover, phages are expected to face increasingly frequent and intense thermal perturbations with global climate change. In this review, we combine theoretical and empirical evidence to assess the impact of the thermal environment on phage biology at the global scale. We identify key thermal environments that phages inhabit, and we discuss the role of temperature in determining phage life-history strategies, ecological interactions, and evolutionary dynamics. We then explore the potential effects of thermal variation on phage functions in natural microbial communities and the application of phages as biomedical therapeutics.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.002
GPT teacher head0.247
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2025
Admission routes1
Has abstractyes

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