Evidence map›Paper›PMID 38263397›Full record

ArticleNature communications2024

Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces.

Piotr Rozwalak, Jakub Barylski, Yasas Wijesekara, Bas E Dutilh, Andrzej Zielezinski

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. The Zoetrope effect in phage evolution.Frontiers in microbiology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Identification and characterization ofMicrobiology spectrum · 2025
    Article
  8. Article
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

5 authors.

Piotr RozwalakDepartment of Computational Biology, Faculty of Biology, Adam Mickiewicz University, Poznan, 61-614, Poland.
Jakub BarylskiDepartment of Molecular Virology, Faculty of Biology, Adam Mickiewicz University, Poznan, 61-614, Poland.ORCID 0000-0001-6630-6932
Yasas WijesekaraInstitute of Bioinformatics, University Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475, Greifswald, Germany.
Bas E DutilhInstitute of Biodiversity, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07743, Jena, Germany. bedutilh@gmail.com.ORCID 0000-0003-2329-7890
Andrzej ZielezinskiDepartment of Computational Biology, Faculty of Biology, Adam Mickiewicz University, Poznan, 61-614, Poland. andrzej.zielezinski@amu.edu.pl.ORCID 0000-0002-8096-3776

Funding

Narodowe Centrum Nauki (National Science Centre) 2018/31/D/NZ2/00108
6 · The paper itself

Abstract

Bacteriophages are widely recognised as rapidly evolving biological entities. However, knowledge about ancient bacteriophages is limited. Here, we analyse DNA sequence datasets previously generated from ancient palaeofaeces and human gut-content samples, and identify an ancient phage genome nearly identical to present-day Mushuvirus mushu, a virus that infects gut commensal bacteria. The DNA damage patterns of the genome are consistent with its ancient origin and, despite 1300 years of evolution, the ancient Mushuvirus genome shares 97.7% nucleotide identity with its modern counterpart, indicating a long-term relationship between the prophage and its host. In addition, we reconstruct and authenticate 297 other phage genomes from the last 5300 years, including those belonging to unknown families. Our findings demonstrate the feasibility of reconstructing ancient phage genome sequences, thus expanding the known virosphere and offering insights into phage-bacteria interactions spanning several millennia.

Indexed as

BacteriophagesDNA DamageHumansKnowledgeNucleotidesProphagesNucleotides

Identifiers

PMID38263397
PMCPMC10805732

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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.