Evidence map›Paper›PMID 32249765›Full record

ArticleNature communications2020

Dynamic genome evolution and complex virocell metabolism of globally-distributed giant viruses.

Mohammad Moniruzzaman, Carolina A Martinez-Gutierrez, Alaina R Weinheimer, Frank O Aylward

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed
24.2field-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

158 citing papers in PubMed, 254 citations in OpenAlex.

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  19. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
    Review
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98 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

4 authors at 1 institution in 1 country.

Mohammad MoniruzzamanDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
Carolina A Martinez-GutierrezDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
Alaina R WeinheimerDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0002-6066-0591
Frank O AylwardDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA. faylward@vt.edu.ORCID http://orcid.org/0000-0002-1279-4050
Virginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of eukaryotic giant viruses has transformed our understanding of the limits of viral complexity, but the extent of their encoded metabolic diversity remains unclear. Here we generate 501 metagenome-assembled genomes of Nucleo-Cytoplasmic Large DNA Viruses (NCLDV) from environments around the globe, and analyze their encoded functional capacity. We report a remarkable diversity of metabolic genes in widespread giant viruses, including many involved in nutrient uptake, light harvesting, and nitrogen metabolism. Surprisingly, numerous NCLDV encode the components of glycolysis and the TCA cycle, suggesting that they can re-program fundamental aspects of their host's central carbon metabolism. Our phylogenetic analysis of NCLDV metabolic genes and their cellular homologs reveals distinct clustering of viral sequences into divergent clades, indicating that these genes are virus-specific and were acquired in the distant past. Overall our findings reveal that giant viruses encode complex metabolic capabilities with evolutionary histories largely independent of cellular life, strongly implicating them as important drivers of global biogeochemical cycles.

Indexed as

Genome, ViralAsfarviridaeCarbonCitric Acid CycleCytoplasmEukaryotaEvolution, MolecularGiant VirusesGlycolysisMultigene FamilyNitrogenPhototrophic ProcessesPhylogenyPoxviridaeCarbonNitrogen

Identifiers

PMID32249765
PMCPMC7136201
OpenAlexW3014884580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.