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Resource dynamics during infection of <i>Micromonas pusilla</i> by virus MpV‐Sp1

2007· article· en· W2127297514 on OpenAlexafffund
Christopher M. Brown, Douglas A. Campbell, Janice Lawrence

Bibliographic record

VenueEnvironmental Microbiology · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsMount Allison UniversityUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaNew Brunswick Innovation Foundation
KeywordsBiologyLysisVirusHost (biology)PhytoplanktonEcologyVirologyMolecular biologyNutrient

Abstract

fetched live from OpenAlex

Viruses infecting marine phytoplankton drive phytoplankton diversity, terminate blooms and shuttle genetic material. Assessments of the scale of viral impacts on trophic networks are, however, speculative. We investigated fluxes of DNA between host and virus during infection of the prasinophyte alga Micromonas pusilla by phycodnavirus MpV SP1. Under a light-dark regimen, viral genomes accumulated to a transient peak within 24 h, at the expense of both host DNA synthesis and nuclear DNA. Viral genome abundance then declined soon after host lysis. This release of a phosphate-rich nucleotide pool during viral infection of phytoplankton should be considered in trophic models. Lysis required light and was stalled in darkness, meanwhile viral genome replication proceeded slowly in the dark. Viral exploitation of this host is therefore only partially light-dependent and infected phytoplankton are poised to lyse at dawn or if mixed to the photic zone. The chloroplast genome remained intact until lysis, indicating that either this DNA pool is inaccessible or the virus spares the chloroplast for its energy and reductant generation. The photochemical turnover of residual Photosystem II complexes accelerated during lysis, indicating that events in late infection heighten demands on the remaining host photosynthetic systems, consistent with the light dependency of lysis.

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 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 categoriesInsufficient payload (model declined to judge)
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 score0.181
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.002
GPT teacher head0.182
Teacher spread0.180 · 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 teacher head, not a consensus.

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

Citations37
Published2007
Admission routes2
Has abstractyes

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