Evidence map›Paper›PMID 38741126›Full record

ArticleGenome biology2024

A novel approach to exploring the dark genome and its application to mapping of the vertebrate virus fossil record.

Daniel Blanco-Melo, Matthew A Campbell, Henan Zhu, Tristan P W Dennis, Sejal Modha, Spyros Lytras, Joseph Hughes, Anna Gatseva, Robert J Gifford

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Cross-Species Sex Identification and Comparative Analysis of theAnimals : an open access journal from MDPI · 2026
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  12. Evolution of theVirus evolution · 2024
    Article
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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

9 authors.

Daniel Blanco-Melo *Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA.
Matthew A Campbell *University of California, Davis, 1 Shields Ave, Davis, CA, 95616, USA.
Henan ZhuMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
Tristan P W DennisMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
Sejal ModhaMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
Spyros LytrasMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
Joseph HughesMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
Anna GatsevaMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
Robert J GiffordMRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK. robert.gifford@glasgow.ac.uk.ORCID 0000-0003-4028-9884

Funding

Medical Research Council MC_UU_12014/12
6 · The paper itself

Abstract

backgroundGenomic regions that remain poorly understood, often referred to as the dark genome, contain a variety of functionally relevant and biologically informative features. These include endogenous viral elements (EVEs)-virus-derived sequences that can dramatically impact host biology and serve as a virus fossil record. In this study, we introduce a database-integrated genome screening (DIGS) approach to investigate the dark genome in silico, focusing on EVEs found within vertebrate genomes.

resultsUsing DIGS on 874 vertebrate genomes, we uncover approximately 1.1 million EVE sequences, with over 99% originating from endogenous retroviruses or transposable elements that contain EVE DNA. We show that the remaining 6038 sequences represent over a thousand distinct horizontal gene transfer events across 10 virus families, including some that have not previously been reported as EVEs. We explore the genomic and phylogenetic characteristics of non-retroviral EVEs and determine their rates of acquisition during vertebrate evolution. Our study uncovers novel virus diversity, broadens knowledge of virus distribution among vertebrate hosts, and provides new insights into the ecology and evolution of vertebrate viruses.

conclusionsWe comprehensively catalog and analyze EVEs within 874 vertebrate genomes, shedding light on the distribution, diversity, and long-term evolution of viruses and reveal their extensive impact on vertebrate genome evolution. Our results demonstrate the power of linking a relational database management system to a similarity search-based screening pipeline for in silico exploration of the dark genome.

Indexed as

FossilsGenomePhylogenyVertebratesAnimalsDNA Transposable ElementsEndogenous RetrovirusesEvolution, MolecularGene Transfer, HorizontalGenomicsHumansVirusesDNA Transposable Elements

Identifiers

PMID38741126
PMCPMC11089739

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LicenceCC BY
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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.