Evidence map›Paper›PMID 37169871›Full record

ArticleThe ISME journal2023

Metagenome-derived virus-microbe ratios across ecosystems.

Purificación López-García, Ana Gutiérrez-Preciado, Mart Krupovic, Maria Ciobanu, Philippe Deschamps, Ludwig Jardillier, Mario López-Pérez, Francisco Rodríguez-Valera, David Moreira

Abstract read
In one paragraph

Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Purificación López-García *Ecologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France. puri.lopez@universite-paris-saclay.fr.ORCID http://orcid.org/0000-0002-0927-0651
Ana Gutiérrez-Preciado *Ecologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-6032-466X
Mart KrupovicInstitut Pasteur, Université Paris Cité, CNRS UMR6047, Archaeal Virology Unit, Paris, France.ORCID http://orcid.org/0000-0001-5486-0098
Maria CiobanuEcologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-7504-2358
Philippe DeschampsEcologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France.
Ludwig JardillierEcologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0003-4982-5807
Mario López-PérezDepartamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, Alicante, Spain.ORCID http://orcid.org/0000-0002-3996-6780
Francisco Rodríguez-ValeraDepartamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, Alicante, Spain.
David MoreiraEcologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is generally assumed that viruses outnumber cells on Earth by at least tenfold. Virus-to-microbe ratios (VMR) are largely based on counts of fluorescently labelled virus-like particles. However, these exclude intracellular viruses and potentially include false positives (DNA-containing vesicles, gene-transfer agents, unspecifically stained inert particles). Here, we develop a metagenome-based VMR estimate (mVRM) that accounts for DNA viruses across all stages of their replication cycles (virion, intracellular lytic and lysogenic) by using normalised RPKM (reads per kilobase of gene sequence per million of mapped metagenome reads) counts of the major capsid protein (MCP) genes and cellular universal single-copy genes (USCGs) as proxies for virus and cell counts, respectively. After benchmarking this strategy using mock metagenomes with increasing VMR, we inferred mVMR across different biomes. To properly estimate mVMR in aquatic ecosystems, we generated metagenomes from co-occurring cellular and viral fractions (>50 kDa-200 µm size-range) in freshwater, seawater and solar saltern ponds (10 metagenomes, 2 control metaviromes). Viruses outnumbered cells in freshwater by ~13 fold and in plankton from marine and saline waters by ~2-4 fold. However, across an additional set of 121 diverse non-aquatic metagenomes including microbial mats, microbialites, soils, freshwater and marine sediments and metazoan-associated microbiomes, viruses, on average, outnumbered cells by barely two-fold. Although viruses likely are the most diverse biological entities on Earth, their global numbers might be closer to those of cells than previously estimated.

Indexed as

EcosystemVirusesAnimalsDNA VirusesMetagenomeSeawater

Identifiers

PMID37169871
PMCPMC10504350

What OpenQuestion holds

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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.