Evidence map›Paper›PMID 32895519›Full record

ArticleNature ecology & evolution2020

Biogeography of marine giant viruses reveals their interplay with eukaryotes and ecological functions.

Hisashi Endo, Romain Blanc-Mathieu, Yanze Li, Guillem Salazar, Nicolas Henry, Karine Labadie, Colomban de Vargas, Matthew B Sullivan, Chris Bowler, Patrick Wincker and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
12.3field-weighted citation impact, top 1% of its field
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

81 citing papers in PubMed, 141 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Genomic analysis ofVirus evolution · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Laser-modulated MnBiAnalytical and bioanalytical chemistry · 2025
    Article
  18. Article
  19. Article
  20. A dinoflagellate-infecting giant virus with a micron-length tail.bioRxiv : the preprint server for biology · 2025
    Article

21 more citing papers are in PubMed but not listed here.

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 at 6 institutions in 4 countries.

Hisashi EndoBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan.ORCID http://orcid.org/0000-0003-0016-1624
Romain Blanc-MathieuBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan.ORCID http://orcid.org/0000-0002-9485-6330
Yanze LiBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan.
Guillem SalazarDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.
Nicolas HenryCNRS, UMR 7144, Station Biologique de Roscoff, Roscoff, France.ORCID http://orcid.org/0000-0002-7702-1382
Karine LabadieGenoscope, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Évry, France.ORCID http://orcid.org/0000-0001-7467-8509
Colomban de VargasCNRS, UMR 7144, Station Biologique de Roscoff, Roscoff, France.
Matthew B SullivanDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.ORCID http://orcid.org/0000-0001-8398-8234
Chris BowlerInstitut de Biologie de l'ENS, Département de Biologie, École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID http://orcid.org/0000-0003-3835-6187
Patrick WinckerResearch Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.ORCID http://orcid.org/0000-0001-7562-3454
Lee Karp-BossSchool of Marine Sciences, University of Maine, Orono, ME, USA.ORCID http://orcid.org/0000-0003-2851-1921
Shinichi SunagawaDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0003-3065-0314
Hiroyuki OgataBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan. ogata@kuicr.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-6594-377X
Centre National de la Recherche Scientifique · FRKyoto University · JPSIB Swiss Institute of Bioinformatics · CHCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRThe Ohio State University · USUniversity of Maine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleocytoplasmic large DNA viruses (NCLDVs) are ubiquitous in marine environments and infect diverse eukaryotes. However, little is known about their biogeography and ecology in the ocean. By leveraging the Tara Oceans pole-to-pole metagenomic data set, we investigated the distribution of NCLDVs across size fractions, depths and biomes, as well as their associations with eukaryotic communities. Our analyses reveal a heterogeneous distribution of NCLDVs across oceans, and a higher proportion of unique NCLDVs in the polar biomes. The community structures of NCLDV families correlate with specific eukaryotic lineages, including many photosynthetic groups. NCLDV communities are generally distinct between surface and mesopelagic zones, but at some locations they exhibit a high similarity between the two depths. This vertical similarity correlates to surface phytoplankton biomass but not to physical mixing processes, which suggests a potential role of vertical transport in structuring mesopelagic NCLDV communities. These results underscore the importance of the interactions between NCLDVs and eukaryotes in biogeochemical processes in the ocean.

Indexed as

Giant VirusesDNA VirusesEukaryotaHumansOceans and SeasPhylogeny

Identifiers

PMID32895519
OpenAlexW3083681173

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.