Evidence map›Paper›PMID 39271456›Full record

ArticleFEMS microbiology ecology2024

Time of day of infection shapes development of a eukaryotic algal-Nucleocytoviricota virocell.

Emily E Chase, Alexander R Truchon, Brooke A Creasey, Steven W Wilhelm

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Emily E ChaseDepartment of Microbiology, University of Tennessee, Knoxville, TN 37996, United States.
Alexander R TruchonDepartment of Microbiology, University of Tennessee, Knoxville, TN 37996, United States.
Brooke A CreaseyDepartment of Microbiology, University of Tennessee, Knoxville, TN 37996, United States.
Steven W WilhelmDepartment of Microbiology, University of Tennessee, Knoxville, TN 37996, United States.ORCID 0000-0001-6283-8077

Funding

National Science Foundation IOS1922958Simons Foundation 735007
6 · The paper itself

Abstract

Aureococcus anophagefferens forms a model host-virus system with the "giant virus" Kratosvirus quantuckense. Studies to define its ribocell (uninfected) and virocell (virus-infected) forms are needed as these states co-occur during algal blooms. Previously, a link between light-derived energy, virus particle production, and virocell formation was noted. We explored how the time of day (morning, midday, or late day) of virus-host contact shaped virocell ontogeny. In parallel, we explored the dependence on light-derived energy in this mixotrophic plankter by inhibiting photosystem II, testing the role of heterotrophic energy in infection dynamics. Using flow cytometry and photochemical assessments, we examined the physiology of infected cells and controls, and estimated virus particle production. We observed differences between ribocell and virocell response to treatments, including reductions in virus particle production during reduced light duration) and PSII inhibition (i.e. "forced heterotrophy"). This work demonstrates the importance of light in shaping the fate of infected cells and provides insight into factors that constrain in situ blooms. Most significantly, we show that time of the solar day when a virus and host come into contact influences viral particle production, and therefore bloom dynamics; a factor that needs to be considered in bloom modeling work.

Indexed as

StramenopilesEutrophicationGiant VirusesLightPhotosystem II Protein ComplexTime FactorsPhotosystem II Protein Complexharmful algal bloomphotosynthesisvirocellvirus-host system

Identifiers

PMID39271456
PMCPMC11451476

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.