Evidence map›Paper›PMID 35181661›Full record

ArticleNature communications2022

Genome binning of viral entities from bulk metagenomics data.

Joachim Johansen, Damian R Plichta, Jakob Nybo Nissen, Marie Louise Jespersen, Shiraz A Shah, Ling Deng, Jakob Stokholm, Hans Bisgaard, Dennis Sandris Nielsen, Søren J Sørensen and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Review
  8. Computational Microbial and Viral Ecology Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Article
  19. Article
  20. Review

13 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

11 authors.

Joachim JohansenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-7052-1870
Damian R PlichtaInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6555-2557
Jakob Nybo NissenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Marie Louise JespersenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Shiraz A ShahCopenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-4665-577X
Ling DengSection of Food Microbiology and Fermentation, Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Jakob StokholmCopenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4989-9769
Hans BisgaardCopenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4131-7592
Dennis Sandris NielsenSection of Food Microbiology and Fermentation, Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8121-1114
Søren J SørensenSection of Microbiology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6227-9906
Simon RasmussenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. simon.rasmussen@cpr.ku.dk.ORCID http://orcid.org/0000-0001-6323-9041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the accelerating number of uncultivated virus sequences discovered in metagenomics and their apparent importance for health and disease, the human gut virome and its interactions with bacteria in the gastrointestinal tract are not well understood. This is partly due to a paucity of whole-virome datasets and limitations in current approaches for identifying viral sequences in metagenomics data. Here, combining a deep-learning based metagenomics binning algorithm with paired metagenome and metavirome datasets, we develop Phages from Metagenomics Binning (PHAMB), an approach that allows the binning of thousands of viral genomes directly from bulk metagenomics data, while simultaneously enabling clustering of viral genomes into accurate taxonomic viral populations. When applied on the Human Microbiome Project 2 (HMP2) dataset, PHAMB recovered 6,077 high-quality genomes from 1,024 viral populations, and identified viral-microbial host interactions. PHAMB can be advantageously applied to existing and future metagenomes to illuminate viral ecological dynamics with other microbiome constituents.

Indexed as

BacteriophagesGastrointestinal MicrobiomeGastrointestinal TractGenome, ViralHumansMetagenomeMetagenomicsVirome

Identifiers

PMID35181661
PMCPMC8857322

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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.