Evidence map›Paper›PMID 40208960›Full record

ArticleScience (New York, N.Y.)2025

Cryptic infection of a giant virus in a unicellular green alga.

Maria P Erazo-Garcia, Uri Sheyn, Zachary K Barth, Rory J Craig, Petronella Wessman, Abdeali M Jivaji, W Keith Ray, Maria Svensson-Coelho, Charlie K Cornwallis, Karin Rengefors and 3 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

13 authors.

Maria P Erazo-Garcia *Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
Uri Sheyn *Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-0997-3533
Zachary K BarthDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-1321-306X
Rory J CraigDepartment of Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany.ORCID 0000-0002-6262-0008
Petronella WessmanDepartment of Biology, Lund University, Lund, Sweden.ORCID 0009-0005-6425-5090
Abdeali M JivajiDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0003-2474-9561
W Keith RayMass Spectrometry Incubator, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-1727-4994
Maria Svensson-CoelhoDepartment of Biology, Lund University, Lund, Sweden.ORCID 0000-0002-2315-2416
Charlie K CornwallisDepartment of Biology, Lund University, Lund, Sweden.ORCID 0000-0003-1308-3995
Karin RengeforsDepartment of Biology, Lund University, Lund, Sweden.ORCID 0000-0001-6297-9734
Corina P D BrussaardDepartment of Biology, Lund University, Lund, Sweden.ORCID 0000-0002-6320-9229
Mohammad MoniruzzamanDepartment of Marine Biology and Ecology, University of Miami, Coral Gables, FL, USA.ORCID 0000-0001-9337-3874
Frank O AylwardDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-1279-4050

Funding

Coevolutionary Dynamics and Gene Exchange Between Nucleo-Cytoplasmic Large DNA Viruses and EukaryotesR35GM147290 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Frank O'Neill Aylward · 2022 to 2026
$1.9M
NIGMS NIH HHS R35 GM147290
6 · The paper itself

Abstract

Latency is a common strategy in a wide range of viral lineages, but its prevalence in giant viruses remains unknown. In this work, we describe a 617-kilo-base pairs integrated giant viral element in the model green alga

Indexed as

Chlamydomonas reinhardtiiGiant VirusesVirus LatencyDNA Transposable ElementsGenome, ViralVirus IntegrationDNA Transposable Elements

Identifiers

PMID40208960
PMCPMC12147526

What OpenQuestion holds

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Registered trials

None linked

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.